179
Aqueous Sulfide Oxidation and Feldspar Dissolution (Geochemical Reactioa Modeling Using CHILLER) by Christopher Kenneth huu>n A Thesis Subrnitted to the College of Graduate Studies and Research Through the Department of Earth Sciences in Partial Fulfillmcnt of the Requirements for the Dcgree of Master of Science at the University of Windsor Windsor, Ontario, Canada 1999

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Aqueous Sulfide Oxidation and Feldspar Dissolution (Geochemical Reactioa Modeling Using CHILLER)

by Christopher Kenneth huu>n

A Thesis Subrnitted to the College of Graduate Studies and Research

Through the Department of Earth Sciences in Partial Fulfillmcnt

of the Requirements for the Dcgree of Master of Science

at the University of Windsor

Windsor, Ontario, Canada 1999

National Library 1*1 of Canada Bibliothèque nationale du Canada

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The author has granted a non- L'auteur a accordé une licence non exclusive licence ailowing the exclusive permettant à la National Library of Canada to Bibliothèque nationale du Canada de reproduce, loan, distribute or sell reproduire, prêter, distribuer ou copies of this thesis in microform, vendre des copies de cette thèse sous paper or electronic formats. la forme de microfiche/film, de

reproduction sur papier ou sur format électronique.

The author retains ownership of the L'auteur conserve la propriété du copyright in this thesis. Neither the droit d'auteur qui protège cette thèse. thesis nor substantial extracts fiom it Ni la thèse ni des extraits substantiels may be printed or othenvise de celle-ci ne doivent être imprimés reproduced without the author's ou autrement reproduits sans son permission. autorisation.

ABSTRACT

The oxidation of sulfides (primarily pyrite and pyrrhotite) exposed in mine waste

accumulations may produce acid mine drainage (AMD), which is characterized by a low

pH, a high sulfate content, and the presence of dissolved rnetals. In this study, CHILLER

(a FORTRAN cornputer modeling program that models geochernical reactions) was used

to study how various feldspars (albite, anorthite and microche) neutralizehuffer the acid

generated fiom pyrite oxidation. Pyrite:feldspar ratios of 1 :4, 1 : 1 and 4: 1 were modeled

to determine the effects of changing the pyrite:feldspar ratio. The results fiom the 1:l

pyrite:feldspar reaction models were explored in detail.

For each reaction model, a di fferent series of mineral pH-buffering assemblages

formed fiom the products of the feldspar dissolution reactions, buffering the acidity to

different values. The 1 : 1 pyrite:microcline reaction model produced: goethite, diaspore,

kaolinite, quartz, clinochlore, daphnite, stilbite and muscovite. The following minerals

formed fiorn the 1 : 1 pyrite:albite reaction model: goethite, diaspore, kaolinite, quartz,

clinochlore, daphnite, stilbite, celadonite and paragonite. The 1 : 1 pyrite:anorthite

react ion model y ielded the following minerals: goethite, diaspore, kaolinite, clinochlore,

daphnite, stilbite, laumontite, calcite and margarite. The 1 : 1 pyrite:microcline reaction

mode1 reached equilibrium fmt with a fmal equilibrated pH of approximately 8.3. The

I:l pyritemorthite reaction model was the last model to reach equilibrium with a final

equilibrated pH of approximately 1 3 -5.

A i t e ~ g the pyrite:feldspar ratio (1 :4, 1 : 1 and 4: 1) had no affect on the sequence

of alteration minerals fomed, so the resultant buffering reactions, buffered pH values and ... 111

fmal equilibrated pH were the same for each group of modeled reactions.

Increasing/decreasing the pyritc:fel&par ratio only affected the point at which the final

equilibrated pH was reached. In al1 three groups of rnodels the final equilibrated pH was

reached first by the 1 :4 @yrite:feldspar) reaction models while the 4: 1 @yrite:feldspar)

reaction models were the 1st to reach final quilibration.

He knows not his own strengtb that hath not met adversity. 4 e n Jonson

1 would Iike to sincerely thank my advisors, B. Petcr Hudec and Dr. Iain Samson,

for al1 of their support and guidance, but most of d l for their patience and understanding.

Without their help this shidy would not have been completed and for that 1 am greatly

indebted to them.

The author also wishes to thank Ingrid Churchill for al1 of her assistance and

guidance within the Geochemistry Lab. Always a source of information and never to

busy to offer a helping hanci, her generosity was never taken for granted.

1 would also Iike to acknowledge Mrs. Usha Jacob, Ms. Wendy Dupuis, Chris

Allen, Dr. M. Franklin and Dr. M. A. Holder-Franklin fiom the Biology department, as

they were al1 instrumental in my crash course in Microbiology.

James L. Palandri (a Ph.D. candidate studying geochemistry with Professor Mark

Reed's research group) and Mark H. Reed (CO-author of ptogram CHiLLER) are also

owed thanks. Correspondence with them regarding CHILLER and SOLVEQ helped me

through many fnistrating nights.

Special thanks are extended to my loving parents, for k ing there when 1 rnost

needed them and never questioning my abilities.

Finally, the following individuals are also owed recognition for their advice,

assistance and tirne: Dr. Ihsan Al-Aasm, Ian Kerr, Maria Cioppa, and Cyms Ghamari.

TABLE OF CONTENTS

... ABSTRACT ............................................................................................................. iii

ACKNOWLEDGEMENTS ....................................................................................... vi LIST OF TABLES .............................. ..... ................................................................... ix LIST OF FIGURES ................................................... ...................................................... x . . LIST OF APPENDICES .............................................................................................. XII ... LIST OF ABBREVJATIONS ...................................................................................... xi11

................................................................................................... 1 INTRODUCTION 1

II OBJECTIVES and SCOPE ...................................................................................... 8

III THEORETICAL CONSIDERATIONS ............................................................... 10 ................................................................................................... (A) Gcoc hemical Modeling 10

(i) Titration Models .................................................................................. 10 (ii) Fixed-Fugacity Models ................................................................. 1 1 (iii) Buffering ............................ ... ......................................................... 12

............................................................................................ (B) Gra~hÎc hscntation of Data 14 (C) Gaochemic.1 Reaction Modelinn uith SOLVEO and CHILLER ........................ ... . . 19

(i) SOLVEQ .............................................................................................. 19 (ii) SOLRUN, GEOCAL and SOLOUT ................................................... 19 (iii) CHILLER ........................................................................................... -20 (iv) CHILLRUN and CHILLOUT ............................................................ -21 (v) SOLTHERM and MINOX .................................................................. 22 (vi) Newton-Raphson Iteration and Convergence ...................................... 23

(D) Sulfide Oxidation .............................................................................................................. 25 (i) Pyrite Oxidation .................................................................................. -26 (ii) Pyrrhotite Oxidation ........................................................................... -31

(E) Thiobacilfus Ferrooxidcrns ............................ .. .............................................................. 33 (F) Gannue Dissolution ........................................................................................................... 34

(i) Feldspar (Aluminosilicate) Dissolution ............................................... 36 (ii) Carbonate Dissolution ....................................................................... 39

IV EXPERIMENTAL PROCEDURES ..................................................................... 40

V MODELMG and RESULTS .............................................. .. ........... 42 (A) CHILLRUN Setur, Essentials ...................................... -42

(i) Fluid Chemistry for the Water-Rock Titrations ................................... 42 (ii) Mineral Chemistry for the Water-Rock Tieations ............................... 43 (iii) SINC and SLIM .............................. ... .............................................. 44

............... ............................ (B) Sulfidc Oxidation and Fcldmar Dissolution Rcactions .. 45 (i) 100 % Pyrite ....................................................................................... 45 (ii) 1 0 % Pyrrhotite .................................................................................. 49

vii

(iii) Pyrite and FeIdspar Reactions .............................................................. 53 (a) 50%Fyritc+50%Microcline ........................................................ 55 (b) 50 % Pyrite + 50 % Albite ................................................................ 63 (c) 50 % Pyrite + 50 % Anorthite ........................................................... 71

........................................................................................................ VI DISCUSSION 81 (A) 1 00 YO M t e d 100 % PYllfiOtitc ................................................................................... 81 (B) 1 : 1 Pyrite + Albite . Pyrite + Anorthite . Pyrite + Microcline .......................................... 85 (C) 1 .4 . 1 : 1 and 4: 1 Pyrite + FeJdsmr Ratios .......................................................................... 93

................................................................................................... VI1 CONCLUSIONS 96

VI II RECOMMENDATIONS ....... .. ......................................................................... -98

........................................................................................................... =FERENCES 100

........................................................................................................... APPENDICES 107 ....................................................................... VITA AUCTORIS ........................ .... 166

viii

LIST OF TABLES

Table 1.

Table 2.

Table 3.

Table 4.

Table 5.

....................... Characteristics of Acid Rock Drainage (Ritchie, 1994a) 6

Median precipitation values of seven sites worldwide (hundreds of analyses) (Freeze and Cherry, 1979). pH = 5.5 @ 25 OC and 1

....................................................................................................... bar. 43

A sumrnary of the main features/results of the 1 :1 Pyrite:Microcline reaction model illustrating the minerals present, p d u d and consumed, pH and buffering reactions (with buffered pH values where applicable) for the points and intervals of Figure 6. ............................................................................ 62

A summary of the main features/results of the 1:l Pyrite:Albite reaction model illustrating the minerais present, produced and consumed, pH and buffering rractions (with buffered pH values where applicable) for the points and intervals of Figure 7. ................. 70

A summary of the main fe8turedresults of the 1:l Pyrite:Anorthite reaction model illustrating the minerals present, produced and consumed, pH and buffering reactions (with buffered pH values where applicable) for the points and intervals of Figure 8 ............................................................................................ 79

LIST OF FIGURES

Figure 1.

Figure 2.

Figure 3A.

Figure 3B.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Figure 1 1.

Figure 12.

A simple cartoon illustration of a titration model. Reactants are incrementally added to the aqueous system with tirne (Bethke,

................................................................................................... 1996). 1 1

An illustration of a single pH-buffered and multiple-step pH- buffered model. ............................... .-..-.. ....................................... 13

An example of a stacked react ion path modeling diagram. ................ .17

An example of the same stacked reaction path modeling diagram ................................ presnited in Figure 3A (except not in log fonn). 18

Reaction of 100 % pyrite (Appendix A, Figure 1) with water ................................ (Table 2) at 25 OC and no aûnospheric contact. -46

Reaction of 100 % pyrrhotite (Appendix A, Figute 11) with ......................... water (Table 2) at 25 OC and no atmospheric contact. 50

Reaction of 50 % pyrite and 50 % microcline (Appendk A, Figure 4) with water (Table 2) at 25 O C and no atmospheric contact. ................................................................................................. 5 7

Reaction of 50 % pyrite and 50 % albite (Appendix A, Figure 2) with water (Table 2) at 25 OC and no atmosphetic contact. ................. 65

Reaction of 50 % pyrite and 50 % anorthite (Appendix A, Figure 3) with water (Table 2) at 25 O C and no amiospheric contact .............. 74

The activity c w e s for H' from the 100 % Pyrite and 100 % Pyrrhotite reactions modeled with CHILLER (Figures 4 and 5

........................................................................................ respectively). 83

The activity curves for ~ e ~ ' from the 100 % Pyrite and 100 % Pyrrhotite reactions modeled with CHILLER (Figures 4 and 5

........................................................................................ respectively). 83

The activity curves for ~ 0 ~ ~ ' from the 100 % Pyrite and 100 % W o t i t e reactions modeled with CHILLER (Figures 4 and 5 respectively). ...................................................... .. ........................ .84

The activity curves for H' h m the 50 % Pyrite and 50 % Feidspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). ............................... 88

Figure 13. The activity curves for a0 h m the 50 % Pyrite and 50 % Feldspar (microclinc, albite and anorthite) mactions modeled with CHILLER (Figures 6, 7 and 8 respectively) ................................ 88

Figure 14. The activity c w e s for ~ e 2 ' h m the 50 % Pyrite and 50 % Feldspar (rnicrocline, albite and anorhite) reactions modeleâ with CHILLER (Figures 6, 7 and 8 respectively) ................................ 89

Figure 15. The activity curves for s 0 d 2 - h m the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHELER (Figures 6, 7 and 8 respectively) ................................ 89

Figure 16. The activity curves for AI" h m the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). ........................... ..--9 1

Figure 17. The activity curves for AIO(OH')~ h m the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). ............................... 9 1

Figure 18. The activity curves for H' h m the 1:4, 1 9 and 4:l Pyrite:Microcline reactions modeled with CHILLER. ....................... .95

LIST OF APPENDICES

APPENDIX A: CHILLRUN files used to nin CHILLER .......................................... 108

APPENDIX B: S M C and SLIM values for the CHILLRUN files in Appendix A ... 121

APPENDLX C: 1 :4 and 4: 1 (41ite:Feldspa.r (Ab. An and Mc)) Graphs ................... 134

APPENDIX D: Key Components of SOLRUN ......................................................... 148

APPENDM E: Key Components of CHILLRUN ...................... .. .... ............ .......... 152

............................................................................... APPENDIX F: List of Reactions 158

xii

LIST OF ABBREVIATIONS

Ab albite An anorthite Cal calcite Cdn celadonite Clcl clinochlore DPh daphnite BP diaspore Gt goethite Kln kaolinite Lmt laumontite MW magnetite Mc microcline M% rnargarite Ms muscovite pg paragonite Po pyrrhotite PY pyrite Qb qu- Stb stilbite

Figure 1. Abbreviations for rock-fonning minerals (Kretz, 1 983).

Ab An Cal Cdn Cld D P ~ Dsp Gt Kln Lrnt MW Mc Mrf! Ms pg Po PY Qtz

NaA1Si308 (Na - feldspar) CaA12Si201 (Ca - feldspar) CaC03 (carbonate) K(M~,F~~+)(F~~',AI)s 40 ~O(OH)Z (Fe - mica) (Mg)5AhSi30 lo(OH)g (Mg - chlorite) (Fe)sA12Si30 ~O(OH)~ (Fe - chlorite) AlqOH) (Al - hydroxide) FeO(0H) (Fe - hydroxide) A12S i20s(OH)4 (clay mineral) CaAi2Si4012 - 4H20 (Ca - zeoiite) Fe304 (Fe - oxide) KAlSi30s (K - feldspar) CaAl2(Al2Siz01o)(OH)2 (Ca - mica) KA13Si30io(OIi)2 O( - mica) NaAl2(A1Si3Oio)(OH)2 (Na - mica) Fei _,S (Fe - sulfide) Fe& (Fe - sulfide) Si& (silicate)

Stb NaCa2(A15Si13036) 1 4H20 @&Ca - zeolite) Figure 2. Mineral forrnulae.

xiii

The accumulation of mine wastcs such as tailings and waste-rock that wntain

sulfide minerals (i.e. pyrite and pyrrhotite) are ofkn potential locations for acid

generation. As a result, Acid Mine Drainage or AMD has become a serious

environmental issue and concem for the agencies that regulate the mining industry and

the companies that nui the mining operations (Ritchie, 1994a; Scharer et al., 1994; Eger

et al., 1994). The oxidation of the sulfide minerals exposed in waste-rock piles and

tailings irnpoundments may produce acid mine drainage, which is characterized by

(Gould et al., 1 994; Alpers et al., 1994; Blowes and Ptacek, 1994; Eriksson and Destouni,

1994; Dietz et al., 1994):

- a low pH,

- a hi& sulfate content, and

- the presence of dissolved metals (Le. Fe, Mg, Ni).

According to Jarnbor (1994) and Robertson (1994) tailings represent the

accumulation of mil1 processed gangue (sand-silt size), separated during the ore

processing procedure. Waste-rock on the other hand, represents the rock that m u t be

removed fiom an orebody in order to expose and excavate the ore, and ranges from grave1

to boulder s k debris (Bates and Jackson, 1984). Tailings and waste-rock are two forms

of mine waste (gangue) that are primarily composed of the non-econornic rocks or

minerals present in an orebody (Bates and Jackson, 1984). The ore in base-metal and

precious-metal mining operations can contain more than 90 % gangue, therefore, large

volumes of tailings are generated and disposeci of near the sites of these operations

1

(Robertson, 1994). Although the separation and concentration process removes the

economically desirable wmponcnt of an ore, the recovery of valuabb minerals is never

100 % efficient. As a result, tailings will contain small arnounts of the economic ore

minerals not removed through processing (Jarnbor, 1994). Waste-rock may also conîain

small amounts of the economic ore rninerals, but at much lower grades than the main

orebody itself.

The generation of mining waste, as mentioned above, also represents a spatial

problern for rnining companies regardless of whether or not AMD is produced as the

waste accumulates. Mine engineers, consultants and planners must consider the sUe of

the disposal sites required for the waste-rock and tailings accumulations as this affects the

overall extent of the minesite and costs of operation (Jarnbor, 1994). For example, a mine

that mills a? 6,000 tpd (tomes per day) (with an ore grade of about 6 %) requires a

disposal site capable of handling approximately 2,000,000 tonnes of tailings annually.

Let us consider the Valley Copper Mines in British Columbia, a porphyry copper deposit

that mills at 135,000 tpd with an ore grade of only about 0.5 % Cu (Jambor, 1994). The

buik of the processed ore in this example is accumulated as tailings at a rate of

approximately 45,000,000 tonnes per year. The Canadian base-metal mining industry has

produced over 12,000 ha of tailings and roughly 350,000,000 tonnes of waste-rock within

the 1 s t four or five decades that has been identified as acid-generating material

(Itzkovitch and Feasby, 1993). According to Aachib et al. (1994) the prelhninary

estimate for remediation costs for this mine waste with present technology amounts to

more than 5 billion dollars (Canadian). As these illustrations have shown, the disposal

sites requid for waste-rock and tailings accumulations are extrcxnely large, the potential

for acid generation witbin these site is infinite, and the cost of cleanup immense.

To wmpound the spatial arrangement and mine waste accumulation problems, the

conventional rncthod w d for îreating AMI3 involves chernical neutralization and

precipitation using lime. Liming (the addition of lime to the mine waste) produces a high

volume sludge thst is composed of unstable metal hydroxides and gypsum (Gould et al.,

1994; Rowley et al., 1994; Rao et al., 1994; Murdock et al., 1994). As some mine waste

accumulations have the potential to generate acid for longer periods of tirne then others,

excessive amounts of this high volume sludge will be produced at these sites through this

remediation method. As a result, lhing affects the spatial arrangement of these sites and

increases the size of the impoundment required for the accumulation of the mining waste.

Metals (i.e. Fe, Ni and Cu) may also be lost with this method of remediation, which, if

recovered, could provide revenue that would offset part of the treatment and disposal

costs while decreasing the sludge volume (Rao et al., 1994; Hubbard et al., 1994;

Schultze et al,, 1994). In addition, the lime sludge may be considered a hazardous waste

if toxic metals (i.e. Hg) are present in suscient quantities, fùrther increasing the cost of

disposa1 (Rowley et al., 1994; Hubbard et al., 1994; Schultze et al., 1994). According to

Murdock et al. (1994) there are advantages when lime is used as a treatment method in

the control of AMD. Lime is an inexpensive product that is widely available, easily

handled, and the reactions involved are controllable and predictable. According to Gould

et al. (1994) and Rowley et al. (1994) however, continuous liming is not a tolerable long-

term remediation method for the control of AMD and more stringent and strict guidelines

are needed for the new advances in the area of AMD neutralization. The onsite treatment

of acid mine drainage by chernical means is an expensive, long-tcnn cornmitment,

considering that drainage problems can persist for over a hundred years (Eger et al., 1994;

Gould et al., 1994).

Many ore deposits (that contain sulfides) also have acid-consuming minerals

associated with the mineralization or in n&y host and country rocks @ay, 1994).

According to Jambor (1994) tailings and waste-rock accumulations are not necessmily

acid generators, the potential for acid production wiil depend upon the mineral

composition of the mine waste. Acid-neutralization reactions according to Blowes et al.

(1994) are essential for controlling the byproducts of suifide oxidation in mine waste

accumulations and reducing the impact they have on the environment. The pH within

these environments is a balance between the acid-produchg sulfide oxidation reactions

and the acid-consuming mineral dissolution reactions. If there are more acid-producing

minerals in the mine waste accumulation, the resulting pH will be acidic. If the acid-

consuming minerals dominate the mine waste pile, the pH will be near neutral to basic.

The presence of acid-consuming minerals also affects the release of dissolved metais (i.e.

Fe, Ni, Pb) into the mine wastes pore water (Blowes et al., 1994). The higher the rate of

sulfide oxidation the greater the metal concentration found in the pore water. Therefore,

in al1 waste-rock and tailings accumulations there are some minerals that oxidize to

produce acid and release harmful elements, and other minerals that react with the acids to

neutralize them. Stable precipitates can form as a result of the acid-neutralization process

and harmful elements rnay be incorporated into their structure (Jambor, 1994). Mixing

mine wastes (containing sulfides) with acid-consuming minerals may be a conceivable

low cost alternative, under certain conditions, for the control or pcevention of AMD. If

properly constnicted, this in situ altemate waste management technique (rnixing) rnay

provide adequate protection against AMD without the continued maintenance or long

term obligations required with other remediation rnethods @ay , 1 994).

According to Jambor (1 994) the bulk of tailings produced from sulfide-bearing

ore deposits will generally consist of quartz, various silicates, carbonates, and iron

sulfides. Pyrite and pyrrhotite are the most abundant sulfide minerals present in mine

waste accumulations according to Alpers et al. (1994). Therefore, it can be generalized

that acid mine drainage (in mine waste accumulations) results fiom the oxidation of pyrite

(FeS2) andor pyrrhotite (Fe&), (where x may vary h m O to 0.1 25 (Nicholson, 1994))

(Jambor, 1994; Yanful et al., 1994)). Jambor (1994) notes that the presence of other (low

abundance) sulfides and sulfosalts such as, arsenopyrite (FeAsS), chalcopyrite (CuFeSz),

galena (PbS), sphalerite [(Zn,Fe)S], and tetrahedrite-ternantite [ (CU,F~)~~S~&-

(CU,F~)~~AS.&] can also present problems. The oxidation of these low abundant

minerals is usually responsible for the most deleterious elements produced in mine waste

effluents. Table 1 gives some of the typical characteristics obsewed and measured (under

natural surficial conditions) as a result of Acid Rock Drainage (ARD) (Ritchie, 1994a).

According to Lin (1996) AMD can be referred to in the general senx as acid rock

drainage. The acidity of a later-phase ARD effluent typically falls within a pH range of 2

to 4 and results in the mobilization of metal ions. The concentration of the metal ions

typically ranges fiom 1 to 3000 m a and have a significant impact on the envuonment as

well as reducing the quaiity of poîable groundwater supplies. The presence of dissolved

salts (Ca, Mg, Al, and sulfate) fùrthet rnagn@ these impacts on the environment. Ferrous

and ferric ions, f h c oxides, hydroxides and jarositcs produce the cornmon yellowish-

orange to reddish-brown discoloration and d u c e visibility in the receiving waters.

Table 1. Chanetcristics of Acid Rock Drrrinage (Ritcbu, 19948).

Acidity

Iron

Total dissolved

sa! ts

Typical associated chernical species

Sulfwic acid

I 1 supplies 1 1 - reduction in quality of water

Concentration Range

p H 2 t o 4

- discoloraton and turbidity in receiving waters as pH increases and ferric salts precipitate

- reduction in aquatic flora and fauna;

- bioaccurnulation; - reduction in quality of

potable groundwater supplies

- reduction in quality of potable groundwater

t

Fenous md ferric ion; Femc oxides, hydroxides;

Jarosites COPP~, magnesi=,

zinc, cadmium, mercwy, lead, arsenic,

radium

Calcium, magnesiun, aluminurn, sulfate

1 1 s u ~ d i e s for stock

Impact

-mobilizationofmetalions

100 to 3000 m a

1 t0 2 0 m&

100 to 30,000 mg"L

Sulfide oxidation is dependent upon a number of factors which defme the

environment within the waste-rock or tailings pile (Ritchie, 1994a). Some of these

factors include temperature, pH, oxygen concentration of the pore fluid rainfall

6requency (flushhg rate), chernid composition of the porc fluid, mineralogy of the mine

waste, and the microbial population. Certain microbes increase the rate of suifide

oxidation and the subsequent gencration of s u W c acid and metai ions within the mine

waste environment. The oxidation rate of sulfides can be catalyzed by the presence of

iron-consuming bacterium (i .e. ThiobaciIIus Fermoxida~ts) (Rich and Hutc hinson, 1 994;

Feasby et al., 1994). The optimal growth conditions for T. fewooxiri(am are around a pH

of 2 to 3, but they can survive within near-neutral pH envuonments (Nordstrom, 1982).

II OBJECTIVES and SCOPE

The objective of this study was to investigate the effect that feldspar dissolution

has on sulfide oxidation.

- the initial intent was to experimentally examine how different feldspars neutralize

the acid generated fiom aqueous sulfide oxidation:

- the results fkom the experimental reactions could not be used for the

purpose of this study

- these results were inconclusive and did not bear any logic when compared

to similar work

Thus, it was decided to simulate the reactions using computer models. The

FORTRAN computer modeling program CHILLER was selected to mode1 these

geochemical reactions.

- CHILLER computes the chernical equilibria of complex systems consisting of

solids, gases, and an aqueous phase (Reed, 1982)

- CHILLER models a variety of situations that include:

- fluid- fluid mixing, gas or rock titrations, boiling, condensation, and

evaporation (Reed and Spycher, 1998)

The geochemicai models were constnicted to examine how feldspar dissolution

(albite, anorthite, and microcline) and the resultant mineral assemblages buffer sulfide

oxidation.

- su1fide:feldspar ratios of 1:4, 1:l and 4:l were modeled with CHILLER to

determine what affect the ratios would have on the results

8

- thrre models wcre consûuctcd for cach feldspar:

- micmcline, albite and anorthite were each modeled with CHZLLER at

ratios of 1 :4, 1 : 1 and 4: 1 (sulfide to feldspar)

The results fiom CHILLER for each of the modeVsirnulations are presented in

stacked reaction path modelhg diagrams.

- these diagram allow for an organized and orderly presmtation of the stability

relations arnong alteration minerals and between minerals and the aqueous phase

(Re434 1997)

- the details fiom these diagrams illustrate how the specified modeling reaction

proceeded through a series of alteration mineral assemblages

- Figure 3A is an example of a stacked reaction path modeling diagram

produced with CHILLER @y reacting pyrite and water)

III THEORETICAL CONSIDERATIONS

(A) Geochernical Modelinq

A properly designed geochemical model can be used to represent sirnplified

versions of reactions that take place in nature or the laboratory. These models must not

be overly sirnplified to the point of being irnpractical nor so elaborate that they cannot be

applied to realistic problerns (Bethke, 1996). For a mode1 to be complete there must be a

balance between its practicality and the realism it is trying to portray. The important

features of a successfully created geochemical model should be portrayed without

attempting to show every chemical or mineralogical detail or change (Bethke, 1996).

(i) Titration Models

Titration models involve reactions between an initial fluid of known composition

and reactants which, if they are rninerals, are undersaturated with respect to the initial

fluid (Bethke, 1996). The reactants are incrementally added (titrated) into the system and

over the course of the reaction path they dissolve until equilibriurn is reacheâ and the

reaction stops (Figure 1). This process may cause minerais to precipitate as they become

saturated within the aqueous phase or force pre-existing rninerals within the system

(either original components or previously precipitated) to dissolve. The system continues

to evolve until the fluid is saturated with each titrated reactant or the reactants are

exhausted (Bethke, 1996). If the reactants are exhausted, the modeler can increase the

amount of the reactants that are incrementaily added to the aqueous phase and continue

10

Figure 1. A simple cartoon illustration of a titration model. Reactants are incrementally added to the aqueous system with tirne (Bethke, 1996).

to do so mtil equilibrium is reached. Once equilibrium is reached, any and al1 reactants

titrated into the system will continue to accumulate without any fùrther interactions.

(ii) Fked-Fugacity Models

Models that buffer the fûgacities of one or more gases, either through atmospheric

contact or some other source, are known as facd-fugacity path models (Bethke, 1996).

The earth's atmosphere acts as a buffer for the chemistry of many geochemical processes

that occur at or near its surface. The chemisûy of an aqueous phase will mach

equilibrium with a-buffer (Le. the atmosphere) if the reaction is slow enough to maintain

equilibrium. Gases from the atmosphere will either dissolve out of the atmosphere or

exsolve into it during this pmcess (Bethke, 1996).

11

A fixed-fbgacity path modci, accordhg to Bethke (1996), can p d u c e rtsults that

are different h m the results obtained in a simple titration model that is closed to the

atmosphere. As an example, consider the following reaction in which the reactant pyrite

is oxidized and goethite is produced:

FeS2 + s / 2 ~ 1 0 + '5/4020 * FcOOH + 4H+ + 2 ~ 0 4 ~ -

pyrite goethite

In a simple titration model that is closed to the atmosphere, the dissolved oxygen within

the aqueous phase wntrols the reaction rate. As pyrite is converted to goethite in reaction

1 the dissolved oxygen is consumed and pyrite oxidation ceases with t h e . Water that is

fully saturated with air at 1 atmosphere and 20 OC contains about 9 pprn 02' (Brown et al,

1 99 1 ). Therefore, only a small amount of pyrite is consumed in reaction 1 due to the lack

of an O2 buffer. In a fmed-fbgacity path model, however, the activity of 020 (reaction 1)

is buffered by the atmosphere and remains in equilibrium with the atmosphere. The

aûmspheric buffering of 02' allows reaction 1 to proceed until al1 of the pyrite is

consumed (Bethke, 1996).

(iii) Buffering

The term buffering refers to the ability to resist change. When some variable of a

chemical system fmes the value of a specifk component, this component is bufiered by

that variable. For example, if the pH of an aqueous solution is held constant by the

mineral composition of the system, the pH of that system is said to be buffered by the

mineral composition and this buffer is refemd to as a minera1 pH buffer. In the previous

12

case of O: k i n g buffered by the atmosphere, this buffer is referred to as an atmospheric

O2 buffer.

Figure 2 illustrates the difference between a single pH-buffered and multiple-step

pH-buffered model (for the purpose of this illustration the axes are not that important, but

the waterhck ratio (w/r) will be discussed in the following section). Curve B represents

a multiple-step pH-buffered modet, the flat stair stepping shape is indicative of a series of

good mineral pH buffers. Suficient amounts of H' are produced, offsetting the amount

of H' consumed (where the curve flattens out) and each step depicts a separate pH-

buffering reaction that begins and ends when a balancing ion is depleted or the buffering

minerai assemblage changes (Reed, 1997). Curve A represents a single pH-buffered

model, pH is not buffered until the reaction reaches final equilibration, and the resulting

curve changes very Little in shape compared to curve B.

Figure 2. An illustration of a single pH-buffered and multiple-step pH-buffered model. A - single pH-buffered model, B - multiple-step pH-buffered model.

(B) GraDhic Prescntation of Data

Stacked reaction path modeling diagrams allow the presentation of the stability

relations arnong alteration minerals and between minerals and the aqueous phase in an

organized and concise manner (Reeâ, 1997). Figuies 3A and 3B are examples of stscked

reaction path modeling diagrams produced with CHILLER (by reacting pyrite and water).

These figures are used hem to illustrate why the &ta was pmsented in log fonn; the

specifics about the data displayed in these diagrams is not important at this point. Each of

these figures presents the same results; the only difference between them is that the data

displayed in Figure 3A is in log form. As can be seen in Figure 3B, the specifics of the

reaction cannot be discerned fiom the data displayed. By presenting the same data in log

form (Figure 3A) however, details about such things as how the pH is buffered by the

formation of buffering minerals c m be seen. Consequently, al1 of the diagrams used to

describe the reactions rnodeled with CHILLER are displayed in log form.

The x-axis for these diagrams represents a measure of composition for the system

in tems of the watedrock ratio (wlr) (Figure 3A). The w/r is calculated by dividing the

mass of water in the initial aqueous phase by the mass of rock titrated into the system

(Reed, 1997). As more rock is titrated into the system, the resulting wlr ratio decreases

and proceeds h m a large to small value as the graph is read fiom left to right. The

composition of the fluid within these diagrams changes continuously with the changing

wlr (Reed, 1997). At any point along the x-axis, the w/r de fuies an equilibrium state that

is unique to that specific composition of rock and initial fluid.

The diagrams displaycd in this study apply to closecl-systcm rock titrations (no

material leaves the geochemical system after it has been added). The titrated minerais

react with the aqueous phase to produce new minerals that procipitate h m solution.

These newly formed minerals then either remain stable with the aqueous phase or, they

become unstable and are! incorporated into the aqueous phase with the possibility of other

stable mineral precipitates forming. This process continues until the geochernical system

reaches equilibrium. The m&ls and corresponding dia- demribed within this text

represent how the chemistry of a repository (containing 1 kg of rainwater) would evolve

as rock is incrementally titrated into the system, and allowed to equilibrate before the next

incremental addition of rock. This pmcess continues as more and more rock is

incrementally titrated into the repository (refer to Figure 1), until fmal equilibration is

reached. As a result, when the graphs are read fiom left to right, the w/r ratio decreases

as more rock is titrated into the system.

The wlr can be thought of as a measure of porosity within a system or as a

measure of reaction progress within that system. As porosity is a measure of the volume

of void space within a pile of unconsolidated sediments, it follows that, if these sedirnents

are hilly saturated, the pomsity is a measure of the w/r for the sediments. Therefore, as

any of the reaction models progress and more and more rock is titrated into the system,

the porosity of the system decreases due to compaction within the cepository. Eventually

a point is reached in which the titrated sedirnents are completely compacted and an

equilibrium state is reached in which the components of the system are static. Only the

titrated components within the system continue to change (increase) as they are added to

the system. Altematcly, the w/r cwld k thought of as a mutsure of &on progress

within that system. As minerals are titratcd into the systern the w/r decreases and

reactions occur between the solid and aqueous phases. This process continues until the

system approaches equilibrium, after which, only the titraîed minerals accumulate within

the system because there are not enough components left in the system to drive the

reactions. As previously discussed, the composition of the fluid within the system

changes continuously with the chmghg wlr and each w/r defmes an equilibrium state that

is unique to that specific composition of rock and initial fluid.

The geochemical models used to produce the diagrams hereinafter were

constmcted to show how the availability of oxygen and the buffering ability of feldspars

(albite, morthite, and microcline) affect sulfide oxidation. Utilization of the closed-

system wlr to models like these, according to Reed (1997), can only be valid where an

equilibrium state exists within the aqueous phase. While this slightly limits the

interpretability of the spatial and temporal relations as they apply to natural settings, it is

applicable to a broader range of situations. Modeling with the wlr represents a balance

between the equilibrium relationships of pure models (like those presented hereinafter)

and a complete treatment (including infiltration, diffision and kinetics) of a well defmed

system (Reed, 1997).

Figure 3A. An example of a stacked reaction path modeling diagram: (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the principal component species (Le. L F ~ " represents the total of al1 aqueous Fe species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). pH can be read directiy from the Log total aq molality and Log molality axes of B and C respectively.

Figure 3B. An example of the same stacked reaction path modeling diagram presented in Figure 3A (except not in log form): (A) Minerals formed in moles. (B) pH and total aqueous molality of the principal component species (i-e. Z F ~ ~ ' represents the total of all aqueous Fe species). (C) Selected individual aqueous species in molality (not total aqueous rnolality). pH can be read directly from the Total aq molality and Molality axes of B and C respectively.

(C) Geochemical Reaction Modelinn with SOLVEQ and CHILLER

(i) SOLVEQ

SOLVEQ is a FORTRAN computer-modeling program that can be used to

compute the chernical equilibria in aqueous systems (Reed, 1982). It is mainly used for

processing any type of water analyses in order to establish the consistency of such

parameten as the input data and the total number of moles of in solution (MTOT H')

(Spycher and Reeâ, 1998). The MTOT H' is required by CHILLER, and represents the

initial pH of the solution in total moles. SOLVEQ calculates the activities of al1 aqueous

species, the saturation indices of solids, and the fbgacities of gases afier the composition

and temperature of the aqueous solution has been input (Spycher and Reed, 1998). These

calculations are resolved using the Newton-Raphson numerical method which indirectly

solves a system of mass-balance and mass-action equations (Reed, 1982; Spycher and

Reed, 1998).

(ii) SOLRUN, GEOCAL and SOLOUT

The SOLRUN file is used to run SOLVEQ and it contains al1 the data specific to

each modeling run (Spycher and Reed, 1998). An existing SOLRUN file can be edited to

run SOLVEQ or the program GEOCAL can be used to create a new SOLRUN file.

GEOCAL is an interactive program that allows the programmer to speciQ the modeling

input data in various units @pm, m g , etc.) (Spycher and Reed, 1998). It asks simple

questions regarding the model's aqueous composition and run conditions (i.e. temperature

19

and pH). Once SOLRUN is wnfigured, SOLVEQ is nui and, if there are no problems,

convergence will be reached (refer to APPENDIX D for a description of the key

components of the SOLRUN data file). If SOLVEQ fails to converge however, various

error messages are built into the program that will help to determine the source of error

(Spycher and Reed, 2 998).

SOLOUT is the output file that contains the results of the calculations made by

SOLVEQ (Spycher and Reed, 1998). The file contains a wide range of information such

as: the number of iterations (loops) used to reach convergence, charge balance of the

solution, temperature, speciation data for al1 aqueous species, and the characteristics of

the component species.

(iii) CHILLER

CHILLER according to Reed (1982) is a FORTRAN cornputer modeling program

that can be used to compute the chemical equilibria of a system arnong solids, gases, and

an aqueous phase. This program can be used to model a variety of situations that include

fluid-fluid rnixing, gas or rock titrations, boiling, condensation, and evaporation (Reed

and Spycher, 1998). CHILLER also applies the Newton-Raphson numerical method to

indirectly solve a system of mass-balance and mass-action equations (Reed, 1982; Reed

and Spycher, 1998). According to Reed and Spycher (1998) afier the temperature,

pressure, and total composition of a chemical system has been input, CHILLER cornputes

the compositions of the solid, aqueous, and gas phases at equilibrium. To model

geochemical processes, CHILLER allows for incremental changes in either temperature,

pressure, enthalpy or composition (Red and Spycher, 1998). After each increment,

CHILLER recalculates the cquilibrium phase assemblage, mined compositions and the

aqueous composition of the system.

(iv) CHILLRUN and CHILLOUT

Before CHILLER is run, SOLVEQ should be used to calculate the homogeneous

equilibrium on the solution that is to be used in CHILLER to ease convergence (Red and

Spycher, 1998). Afler getting the SOLVEQ output, the CHlLLRUN file must be created

by either running the program GEOCAL, or by editing an existing CHILLRUN file (Reed

and Spycher, 1998). The CHILLRUN file contains al1 the data specific to each modeling

run. Once CHILLRUN is set up, CHnLER is run and if there are no problems,

convergence will be reached. AAer each successful equilibration, the values of SINC

(step increment) and SLIM (step limit) are increased by a factor of ten (SINC and SLIM

are titration panuneters, refer to APPENDIX E for a description of the key components of

the CHILLRUN data file), and CHILLER is run again. CHILLER usually reaches

convergence without any problems when SINC and SLIM are increased by a factor of

ten. When SINC and SLIM are increased by larger factors (Le. 100 or 1000) the iterative

method usually fails to reach convergence and the program stops. If CHILLER fails to

converge at any point, various error messages are built into the program that will help

determine the source of error (Reed and Spycher, 1 998).

CHILLOUT is the output file that contains al1 of the ru-specific CHILLRUN

data, and the results of each titration and subsequent equilibration produced with

CHILLER (Reed and Spycher, 1998). The results are organizcd into a stnrcturcd and

thorough data file based upon the step incrernent (SMC) and the step limit (SLIM) set by

the user. For each successful increment (titration) CHILLER outputs the equilibration

data to CHILLOUT. Therefore, if SINC = 1 and SLIM = 10, CHILLOUT will contain

data for nine increment steps as long as convergence is reached during each step.

CHILLOUT contains a broad range of information for each step such as: the nurnber of

iterations (loops) used to reach convergence, charge balance of the solution, temperature,

pressure, speciation data for al1 aqueous species, pH and the characteristics of the

component species (Reed and Spycher, 1998).

(v) SOLTHERM and W O X

SOLTHERM is the database used by CHiLLER and SOLVEQ and contains al1

thermodynarnic data for the aqueous, gas, and mineral species listed (Spycher and Reed,

1998; Reed and Spycher, 1990, 1998). This database supplies al1 of the thennodynamic

data, (activity coefficients data, component species data, derived species data, gas data,

mineral data and optional miscellaneous data), necessary to run CHILLER and SOLVEQ.

The MINOX reactant data file contains reactant stoichiometries and molecular weights

for the chemical components (oxides, minerals, gases, etc.) to be used as reactants in

titration reactions (Reed and Spycher, 1998). Reactants are generally specified as oxides

or minerals, but any other form of reactant may be entered into this file. MINOX is only

read if the MINSOL option for titrations is enabled (MINSOL set to a non-zero value (1-

4) in the CHILLRWN data file, see APPENDIX E) (Reed and Spycher, 1998).

(vi) Newton-Raphson Itcration and Convergence

Geochemical modeling programs like SOLVEQ and CMLLER provide insight

into complex naîural reactions. The simplified reactions run with these programs can be

interpreted more easily than those occuning in nature if there is a balance between

practicality and realism. With some basic geochemical knowledge, programs Iike

CHILLER and SOLVEQ can be run without necessarily understanding the complexities

nf how each program internally calculates the equilibrated output. Programs like *ese

solve a system of mass-balance and mass-action equations in order to mach equilibraîion.

There is no direct general method however, for fmding the solution of nonlinear

equations, so these equations need to be solved indir~ctly by iteration (Bethke, 1996).

According to Bethke (1996) Newton-Raphson iteration is the most effective approach for

solving nonlinear equations reliably, especially in systems where the mass is distributed

over minerals as well as dissolved species.

The Newton-Raphson iteration method works as foUows (Bethke, 1 W6): the set

of vafues that satisfies a group of equations is called the group's root. The iterative

method begins with a guess of the root's value, and then proceeds to improve the value

incrementally until it satisfies the equations to the desired accuracy. The fmt guess of the

root is typically set by the model, which cornmonly assigns the guess 90 % of the mole

numbers to the unknown variables. The desired accuracy is determined by the residual,

which is a measure of the inequality between two sides of a system of equations Be*

( 1996). Residuals are a measure of how far off the guess was fiom the mot's satisfjing

values. The Newton-Raphson iteration method attempts to make the residual

incrementally smaller by succepsivcly irnpmving the guess of the root's value. This

process continues until some value of the r w t is reached at some iteration point that

satisfies the system of equations to a desired accuracy, thk is known as convergence

(Bethke, 1996). Usually, convergence to a solution is rapid, however the model c m

"bomb" (stop) if convergence is not reached. A model that fails indicates that the

residual cannot be irnproved to satisw the root's value for the specified modeling

conditions. When this occurs, changes must be made to the modeling conditions in an

attempt to mach convergence. As Reed and Spycher (1998) note however, some models

may reach a numerical impossibility and never converge, or the chernical system that is

being investigated rnay be impossible and the model cannot justiw the chernistry.

@) Sulfide Oxiâation

Sulfide oxidation is a complicated process that involves a series of complex

intertwined reactions, which rnay have a serious impact on the environment. With tirne,

these reactions cm become an environmental concem as the resulting effluent pH

changes, ranging fiom Iess than 2 to as high as 8.5 (MiIls, 1985). This broad range in pH

values is related to the rate of sulfide oxiâation, and the buffering capacity of the rninerals

present in the geologic setting (Mills, 1985). According to Ritchie (1994a), during the

early stages (years to tens of years) of a sulfide-bearing tailings or waste-rock pile, the

chemical composition of the pore water in the waste accumulation changes with time and

depth. Several factors control these changes and they are dependent on such things as the

rate of sulfide oxidation the presence of acid-neutralizing gangue rninerals, and the rate

of pore water movement. Initially, the acid generated through sulfide oxidation is

neutralized close to the source and the pore water pH is near neutral (Ritchie, 1994a).

With tirne, the readily available acid-neutralizing rninerals are consumed and the acid

produced is transported away fiom the oxidation sites, decreasing the effluent pH. At this

stage in the sulfide-bearing tailings or waste-rock piles history (tens to hundreds of years),

the chemical composition of the effluent changes very slowly with tirne. It is this later

stage drainage which is typically described as "'acidic drainage" because the pH generally

ranges h m 2 to 4. Ritchie (1994a) also notes that the mine drainage fiom a sulfide-

bearing waste pile may not have a low pH at al1 but can still be considered an

environmentai threat. If a suficient amount of dolomite is present in this mine waste

pile, the acid produceci through sulfide oxidation could be buffered to a near-neutral pH,

however, the chinage would aiso have high levels of sulfate, calcium, and magnesiun;

common ch~micteristics of AMD (wiîhout the earrnark low pH).

Pyrite (Fe&) and pyrrhotite (Fql-x$S) are the most common sulfide minerals in

base and precious metal tailings impoundments (Blowes et al., 1994). According to

Ritchie (1 994a), pyrite oxidation (the prirnary pollutant generating process in AMD) is

wntrolled within the mine waste environment by several factors. These factors include

(for example) temperature, pH, oxygen concentration, chemical composition of the pore

water and microbial population. The relationships between the physical, chemical, and

microbial environments within a mine waste dump affect the rate of pyrite oxidation.

Consequently, the rate of pyrite oxidation affects the physical, chemical, and microbial

environments within the dump. The processes involved in sulfide oxidation at any one

mine waste site wil1 vary considerably fiom any other depending on site specific

conditions, and this is why modeling is dificult (Ritchie, 1994a).

(i) Pyrite Oxidation

The arnount of information with regards to the mineralogy of oxidized sulfide-

bearing mine waste is sparse. Several authors however, have proposed a series of

generalized reactions that may lead to the formation of AMD. In this section, the

proposed ideas of some of these authors will be examined. Although similarities exist

between these proposed AMD reactions, each of the authors concepts are prescnted in

their entirety.

The pyrite oxidation reactions mponsible for AMD according to Singer and

Stumm (1970) and Stumm and Morgan (1981) can be expresscd as follows:

Pyrite is broken down and the suifur is oxidued according to reaction 2 releasing

~ e * ' , SO? and p. The subsequent oxidation of ~ e * + (reaction 3) and hydrolysis of Fe "

(reaction 4) leads to the formation of femhydrite. The presence of ~ e j ' can lead to the

break down of pyrite and the direct oxidation of sulfur producing ~e*', SO~" and H'

according to reaction 5:

The direct oxidation of the sulfùr in 1 mole of pyrite by ~ e j ' results in the release of 16

moles of H' (reaction 5) versus the 2 moles of H' released during the oxidation of the

sulfur in pyrite by 02' (reaction 2). Reactions 2, 3, 4, and 5 regulate the amounts of H'

and ~ e ~ ' released into solution.

ThiobaciILus ferrooxidans (a species of bacterium) can act as a catalyst for

reaction 3, and are most active between pH 1.5 - 5.0 (Rose and Daub. 1994). T.

27

Jerrooxiidns in- the rate at which FC*' is oxicüzed in cornparison with inorganic

rates (Singer and Stumm, 1970). As reaction 3 is considered to be the rate-controlling

step, T. ferrooxikns can increase the rate at which the characteristics of AMD are

produced (Rose and Daub, 1994). Reactions 3 and 5 have been implicated as the problem

reactions in extreme cases of AMD. Under extreme acidic conditions reaction 4 is the

slowest of the four reactions thus lïmiting the rate at which additional acidity is produced

in this reaction and reaction 5 (Rose and Daub, 1994).

The overall reaction for pyrite oxidation is presented in reaction 6, which

represents the sum of reactions 2, 3, and 4 (Singer and Stumm, 1970; Sturnm and

Morgan, 198 1):

Fe% + '5/4020 + '/*H~O * Fe(OE& + 2 ~ 0 ~ ~ + 4Ei' pyrite ferrilrydrite

For each mole of pyrite oxidized in reaction 6 four moles of H+ are produced. According

to Rose and Daub (1994) ~ 0 4 ~ - (reaction 6) is initially released during pyrite oxidation

and this gives some indication to the amount of pyrite oxidized.

The following reactions according io Blowes et al. (1994) are responsible for the

generaîion of AMD. Pyrite is broken down and the sulfur is oxidized according to

reaction 2 producing ~ e ~ + , S O ~ ~ - , and two moles of H':

FeS2 + '120~' + H t O * lie2* + 2~0:- + zH' pyrite

The oxidation and subsequent hydrolysis of F C ~ * leads to the precipitation of Fe(OW3,

yielding two addition moles of (reaction 6) (Blowes et al., 1994):

Fe& + '5140? + ' 1 ~ ~ 2 0 * Fe(0m + 2 ~ 0 ~ ~ - + 4W pyrite ferrikydrite

According to Bigham et al. (1990) and Blowes and Ptacek, (1994) (referruig to reaction

6) goethite (FeOOH) or the precipitation of other ~e~+ -bear in~ phases may form in the

place of Fe(O&, releasing various amounts of H'. Continued oxidation of the sulfur in

pyrite by ~ e ) ' (produced h m the oxidation of ~ e ~ ' , reaction 3, released fkom reaction 2)

would lead to the release of more acid (reaction 5) (Blowes et al., 1994):

Fe$ + 1 4 ~ e ~ + 8H20 * 15Fe2+ + 2 ~ 0 : - + 1 6 c pyrite

Wiîh ~ e " as the primary oxidant, each mole of pyrite oxidized yields 16 moles of acidity.

As a fmal example of the reactions involved in pyrite oxidation consider the

following proposed by Ritchie (1 994b):

Fe$ + %O: + HIO * FeSOI + H2SOI pyrite

MS + Fe(so& + '/*a' + H 2 0 * MSOI + fFtso4 + H2S04 (wbere MS stands for iay mttal siiWide)

Reaction 7 (sum of reactions 8 and 9) shows that pyrite is oxidized in the presence of

oxygen producing acid and sulfate. Reaction 10 is a general reaction illustrating the

oxidation of any other metai sulfide. The rate of reaction 8 can be increased by a factor of

about 1 0' (Singer and Stumm, 1 968) if certain bacteria (i.e. 2'hiobocillu.s firrooxidmrF)

catalyze the oxidation of the ferrous iron in reaction 8 (Ritchie, 1994b). According to

Ritchie (19946) reaction 9 supports this process, at low acid pH values the oxidation of

pyrite by ~ e ~ + is increased (about 10 to 100 times faster (Olson. 1991)) due to the

presence of bacteria like T. ferrooxidam.

The overall complexity of the reactions and mechanisms involved in the oxidatioa

of sulfide minerals rnakes it difficult to describe al1 of the processes taking place at once

(Ritchie, 1 994b). The initial factors or conditions that begin the acidification process

leading to AMD within the waste-rock/tailings pile are not completely understood.

According to Nordstrom (1982) and Pmnk et al. (1992) reactions like those reported by

Singer and Stwnm (1970), Sturnm and Morgan (198 1), Blowes (1994), and Ritchie

(1994b) can be fûrther complicated; T. ferrooxidam can also grow within an anaerobic

environrnent. In order for the bacteria to survive under anaerobic conditions there must

be a source of ~ e " within the environrnent. Oxygen however, is requued as described by

reaction 8 for the continuhg source of ~ d ' the bacteria require. It is obvious that oxygen

cannot be present within an anaerobic environment. According to Nordstmm (1 982) and

Pronk et al. (1992) there is no conclusive evidmce on the micmorganisrns ability to act as

a catalyst within the anaerobic environment. Kleinmann (1979) did however, fmd trace

growth of Tjmooxidzm in these saturated (anaerobic) environrnents. Nonetheles, with

the amount of research and experimentation involving water covers and other gas

diffision barriers T. ferrooxidaris likely do not act as good catalysts under these

conditions.

(ii) qrrhotite Oxidation

Very little information exists with regards to pyrrhotite oxidation compared to the

number of studies done on pyrite oxidation. Nicholson (1994) however, notes that the

amount of attention paid to pymhotite oxidation is increasing as pyrrhotite has been

recognized as an important waste mineral in many metal mine waste impoundments.

Aqueous pyrrhotite oxidation can be the dominant p r e c w r to AMD in tailings

impoundments produced during the concentration and recovery of nickel (Blowes et al.,

1994). The complete oxidation of the sulfur in pynhotite may occur through reaction 11

(Blowes and Ptacek, 1994; Blowes et al., 1994; Nicholson, 1994):

The stoichiometry of pyrrhotite affects the amount of H' produced (Nicholson, 1994). If

x in reaction 11 is zero then pyrrhotite has a fomula of FeS and no H' will form during

oxidation. On the other hand, if x = 0.125 (the maximum value for x according to

Nicholson, 1994) then pymhotite will have a formula of FetSt and the maximum arnount

of acid wiii be produced. Partial completion of pyrrhotite oxidation will generote sO and

~ e ~ + W u g h the reaction (Blowes and Ptacek, 1994; Blowes et al., 1994):

Fyt.&$ + (2-2x)~e* * (3-3x)~e" + S' pyrrhotite

Sulfate ( ~ 0 4 ~ 3 may f o m if the elernental sO is oxidized in reaction 12 (Blowes and

Ptacek, 1994; Blowes et al., 1994). Elemental sO has also been shown to form at the

expense of H+ through reaction 13 (Ahonen and Tuovinen, 1994):

Burns and Fisher (1990) and Fisher and Burns (1990) have shown that the

aqueous oxidation of sulfur in pyrrhotite can lead to the formation of pyrite, consider the

following reaction:

This reaction also consumes acid and with t h e the pyrite will undergo oxidation in the

presence of o v g e n (as seen in reaction 6). According to Nicholson (1994) pyrrhotite

oxidation is 20 - 100 times faster than pyrite oxidation at 25 OC under atmospheric oxygen

concentrations. Due to the greater sulfur content of pyrite however, more acid per mole is

produced during pyrite oxidation than pyrrhotite oxidation.

(E) Tltiobacillus F e r r o o x k

Thiobacillusfirrooxidam are a widely studied ~ e ~ + - , pyrite- and suLfiir-oxidizing

genus of microorganisms that contribute to AMD (Nordstrom, 1982). This gram-negative

aerobic chernoautotrophic @duces its' own food t h u g b oxidation) acidophilic (thrives

within low pH envuonments) microbe obtains energy nom sorne form of sulfk (Le. m e t .

sulfides or r e d u d su& compounds) (Nordstmm, 1982; Gould et al., 1994). Theü

optimal growth conditions according to Nordswm (1982) are around a pH of 2 to 3, but

they can survive within near-neutral pH envuonments. Gould et al. (1994) suggest that

the pH range the thiobocilli thrive in is between 1 and 3.5 with the optimal near 2.

Besides living under such harsh conditions as a low pH environment, T ferrooxiidm can

also tolerate various delterious metal ions and anions such as arsenate (Tuovinen and

Kelly, 1 972).

T. ferrooxidonr play a significant role in the oxidation of sulfide minerds by

acting as catalysts, accelerating the rate of sulfide oxidation and the rate in which ~ e " is

generated from ~ e ~ ' (Nordstrom, 1982; Ritchie, 1994b; Nicholson, 1994; Gould et al.,

1994). According to Singer and Shunm, (1968, 1970) and Nordstrom (1976) the

bacterium increases the oxidation rate by a factor of about los. The presence of ~ e ' + at

low pH allows for the direct oxidation of sulfides by ~ e ) + , replacing 9 as the primary

oxidant (Nordstrom, 1982; Bigham, 1994).

(F) Gangue Dissolution

Gangue represents the valueless waste rock or minerals within an orebody that

must be separated fiom the economic rocks and minerals during concentration (Bates and

Jackson, 1984). The oxidation of sulfide minerals (within the gangue) and subsequent

release of acid, sulfate, and dissolved metals into the irnpoundment effluent can persist

for decades to centuries (Blowes and Ptacek, 1994). The dissolution of acid-neutralizing

gangue minerais (carbonates and alurninosilicates) within a waste-rocWtailings

environment act to buffer and neutralize the products of sulfide oxidation. The ultimate

amount of acidity and deleterious elements released during sulfide oxidation relates to the

amount of acid-generating minerals and acid-neutralizing minerals present in the gangue.

If there are more acid-generating minerals present within the waste-rock/tailings pile then

there is a greater chance of generating AMD. If there is a greater percentage of acid-

neutralizing minerals within the waste-rocwtailings pile then the chances of generating

AMI3 are decreased.

According to Blowes and Ptacek (1994) metal-bearing hyàroxide and

hydroxysulfate minerals can precipitate during the acid-neuîralizhg reactions. These

minerals act as sponges, effectively removing dissolved metals from the pore water within

the dump. If these acid neutralization and mineral precipitation reactions occur at the site

of suffide oxidation, then the rate of oxidation may be decreased by the formation of

inhibitory mineral coatings (Blowes and Ptacek, 1994). Inhibitory minerals such as

Fe(OW3 (ferrihydrite) can fom according to reaction 15:

These mineral coatings c m decrease the rate of sulfide oxidation by armoring the sulfide

minerals but they do not prevent AMD (Blowes and Ptacek, 1994).

Consider several of the generally slow gangue dissolution reactions reported by

Ritchie (1 994b), they uiclude muscovite, biotite, albite. morthite, and K-feldspar:

Muscovite Dissolution:

KA12[NSi30 ( O s ) + tI' + %&O * K' + %AI&o~<oH)&)

Biotite Dissolution:

KMg~sFtl&Si301r(OH)2(s) + 'IH* + ' f 2 ~ 2 0 * K+ + 1 . 5 ~ c + 1 . 5 ~ e ~ ' + 2H&i0? + ' / ~ A I ~ S ~ O S ( O ~ ~ ( S ) (1 7)

Albite Dissolution:

NaAISi30&) + H+ + % H ~ O * Ni4 + 2&~i04' + '/~AI~s~~os(oH)~(s)

Anorthite Dissolution:

CaAI2Si2O&) + 2H+ + &O * ca2+ + A~S~~OS(OCL)~(S)

K-felds~ar Dissolution:

KAISi30i (s) + H' + %HIO if K' + 2H&io4@ + ' / ~ A ~ s ~ ~ o ~ o H ) ~ ( s )

According to Ritchie (1994b) these minerals represent

neutnilizing constituents pment in gangue. Even though

some of the typical acid-

these reactions are slow in

comparison to carbonate dissolution rcactions, their importance will be justifiai in time

during the chernical evolution of the pore water within the durnp (Ritchie, 1994b). With

t h e , when al1 of the readily available carbonate has been removed through dissolution,

the micas and feldspars will continue to neutralize the acid generated through sulfide

oxidation. The concentrations of major ions such as Ca, Mg, Na, K, Al and sulfate within

the drainage effluent are controlled by these reactions. In each case (reactions 16 to 20)

the gangue mineral and are consurned and the products of al1 the reactions include the

formation of kaolinite (AlrSiz05(OH)4) and silicic acid (H.&i049 while releasing K',

M ~ ~ ' , ~ e ~ ' , ~ a ' , and ca2' depending on the gangue minerals involved. Reactions 16 and

17 consume H' and decrease the fluids acidity while yielding K', and M ~ ~ ' and K'

respectively. As the acidity of the solutions in reactions 18, 19, and 20 is decreased

through dissolution, albite releases Na', anorthite releases ca2', and K-feldspar releases

(i) Feldspar (Alminosilicate) Dissolution

Only under very low pH conditions after al1 other acid-neutralizing sources have

k e n consumed (carbonates and simple hydroxides) does the dissolution of the feldspars

become important (Blowes and Ptacek, 1994). As mentioned in the previous section the

dissolution of the feldspars consumes H' and contributes Ca, Na, and K, as well as Si and

AI to the pore water and mine waste effluent. These reactions are generally slower than

the rate of pore water movement throughout the tailings or waste-rock pile and are usually

not rapid enough to attain equilibriurn with the system (Blowes and Piacek, 1994). The

significance of these more stable minerals becomes only more evident as the readily

soluble carbonate minerals are depleted duriag the acid neutralization reactions (Blowes

and Ptacek, 1994). The ability of such stable minerals to contml GMD afler al1 of the

more readily consumed minerals are gone may play an important role in environmental

remediation methods.

Within a tailings or waste-rock pile the factors governing feldspar dissolution and

the subsequent neutralization of the acid generated through sulfide oidation are complex.

Complete acid neutralization may only occur where the feldspar to sulfide mineral ratio is

hi& the proportion of feldspar mineral surface areas with which to react with are large,

and the rate of acid generation is slow (Morin and Hutt, 1994). The simplified

neutralization reactions fiom Morin and Hutt (1994) have the following restrictions

placed on them due to the complex nature of these feldspar dissolution reactions. For

reactions 21 to 26, (1) al1 sulfùr oxidizes to sulfate, (2) iron is oxidited and hydrolyzed as

Fe(O&, (3) the silicon fiom the feldspar converts to H&i0lo or SiOz(s), (4) aluminum

will only hydrolyze and precipitate as AI(OH)p around pH 7, and (5) the alkali metals (K',

~ a 3 and the alkaline earth metal (ca23 do not hydrolyze and precipitate between pH 3.5

and 7.

between 3.5 < DH < 4.5:

Anorthite:

Albite:

around DH 7:

Anorthite:

Albite:

For the reactions within the 3.5 < pH < 4.5 range less silicic acid and alkaline

earth/alkali metals are produced per mole of pyrite consurned then at around pH 7. The

silicic acid and alkaline ear<h/akali rnetals produced at around pH 7 are 4 times greater

per mole of pyrite consurned then what is produced within the 3.5 < pH < 4.5 range.

(ii) Carbonate Dissolution

Reactions 27 and 28 (Ritchie, 1994b) represent the dissolution of carbonate

(generally present in gangue as calcite and dolomite) by sulfiiric acid:

Calcite Dissolution:

CaC03 + HzSO. * CaS04 + H20 + Ca calcite

Dolomite Dissolution:

The products of these dissolution reactions are C a , HzO and calcium and magnesium

sulfate. According to Ritchie (1 994b) carbonate dissolution is relatively fsst compared to

the rate of other mechanisms that control pyrite oxidation and it buffers the pH of the

waste-rock/tailings pore water at a near neutral pH. Chernical species containing many of

the trace metals that are pollutants in AMD are not soluble at pH values above 4.5

(Ritchie, t994b). As a result, the trace metal pollution is absent while the near-neutral

pH-buffering action of the carbonates persists. Thenfore, with carbonate dissolution the

pore water chemistry of the dump can be maintained at a near neutral pH while lacking

the presence of any heavy metals.

IV EXPERIMENTAL PROCEDURES

The initial intent of this shidy was to experimentally investigate how different

feldspars neutralize the acid generated through aqueous sulfide oxidation. Column

leaching experiments using triple distilled water, as the aqueous component, were set up

to study these reactions. The sulfide and feldspar concentrations within the columns were

varied and different feldspars were used (albite, anorthite and rnicrocline) to see what

affect they had on sulfide oxidation. The airn was to determine which feldspar and what

concentration of that feldspar would most effectively neutralize the acidic drainage.

These determinations were to be based upon the effluent that was collected daily fiom the

columns. The effluent pH was monitored and measured regularly during the experiments

and sarnples were collected for later analysis. These sarnples would be used to determine

the concentrations of various dissolved metals as well as the concentrations of SO~*- and

siozo. The sarnples however, were not analyzed because the pH values measured fiom

the leachate columns were always near neutral, whereas acidic conditions were expected.

Even after approxirnately three months there was no significant change in the measured

pH values. These experiments were repeated numerous t h e s with sulfides that were

donated and purchased, but the results were always the same.

To aid in the oxidation process, ïliobacillus ferrooxidans were purchased to act

as catalyst's for the sulfide oxidation reactions. Afier a bnef introduction into the world

of microbiology and numerous failed attempts, a culture of T ferrooxidam received from

the American Type Culture Collection (ATCC) was successfully transferred and

incubated in several test tubes of growih medium. AAer successful growth of a biofilrn

40

within some of the lcachatc columns, the expcriments were wntinued but the results w m

the same. The measured pH values of the various columns were still near neutral h m

day 1 and did not change with tirne.

As al1 attempts at modeling these reactions experimentally failed, it was decided

to modeVsimulate these reactions using a cornputer. The program CHILLER was

available and could be used to model these geochemical reactions. After over a year and

with help fiom James L. Palandri (a PhD. candidate studying geochemisûy with

Professor Mark Reed's research group) and Mark H. Reed (CO-author of program

CHILLER), the reactions were successhilly modcled to simulate conditions within a

submerged tailings pile (isolated h m the atmosphere). Unfortunately, al1 attempts to

model the same reactions open to the atmosphere failed. CHILLER could not model

these reactions because the calculated ionic strengths (within CHILLOUT) would

increase to excessive values and the corresponding activity coenicients would lose their

meaning in the sulfate-dominated fluid (M.H. Reeâ, personal communication, 1998).

Reed (personal communication, 1998) did suggest that the activity coefficient routine in

CHILLER could be modified to take into account the sulfatedominated fluid for a more

refined treatment but unfortunately, due to t h e constraints this was not performed.

MODELING and RESULTS

(A) CHILLRUN Setun Essentials

(i) F luid C hemistry for the Water-Rock Titrations

The chernistry of the pore water fluid within tailings or waste-rock piles is site

specific and dependent on numerous variables as was previously detailed. There is a

comrnon source however, for the water that infiltrates these mine waste accumulations -

rainwater. It should be noted that the rainwater chemistry and oxygen content varies fiom

region to region and this will a f h t the degree of sulfide oxidation within a mine waste

accumulation. Therefore, in order to model these reactions properly, the actual rainwater

chemistry for a specific region must be known. Although more accurate, this type of

approach is somewhat limited only to that region and generalizations fkom region to

region are difficult to make. In order to model sulfide oxidation reactions for a wider

array of situations, an average global rainwater chemisûy was used here. According to

Lee and Fetter (1994), greater than 99 % of the solutes in natural groundwater are made

up by less than twelve constituents. Seven ions make up the majority of these

constituents: ca2', Na', M~*+, K', HC03; sot-, and Cr; with some dissolved SiOt. Lee

and Fetter (1994) note that these constituents are routinely found in water sarnple

analyses, so they can serve as the constituents to describe the chemistry of natural waters.

The precipitation chernistry reported by Lee and Fetter (1994) was taken fkom Freeze and

Cherry (1979), and these values where selected to represent the general rainwater

chemistry for al1 the modeling performed with SOLVEQ and CHILLER (see Table 2).

42

Table 2. Median prccipitation v i l w r of aeven rilcl worldwide (hondnds of analyser) (Freeze and Cherry, 1919). pH = 5.5 @ 25 O C and 1 bar.

I Constituent I ~ r w ipitation I

The rainwater chemisûy for the modeling runs was input into GEOCAL Vi mgL

and because the density of the solution was 1 @cm3 (so 1 mg/L = 1 ppm) the oxygen

concentration was input as a ppm value. The oxygen concentration of the water was set

to 9 ppm for the reactions modeled because water which is fully saturated with au at 1

atmosphere and 20 OC contains about 9 ppm (Brown et al, 1991).

(ii) Mineral Chemistry for the Water-Rock Titrations

In order for CHILLER to pedonn water-rock titrations, MINSOL in the

CHILLRUN file must be set to a non-zero value (1,2, 3, or 4) depending on whether the

titration is in grarns or moles. MINSOL was set to 1 for al1 of the reaction modeling

completed in this study. MNSOL = 1 forces CHILLER to titrate the minerais in grarns,

with SMC and SLIM set in g ram (refer to APPENDIX E for a description of the key

components of the CHILLRUN data file). Once MINSOL is set to 1 in the CHILLRCTN

file the reactant minerals are input into NOMOX and theu respective weight percents are

43

entered into WTPC. For example, to titrate 80 % pyrite and 20 % albite hto the aqueous

phase of the CHILLRUN file, pyrite and albite are tisted under NOMOX and their weight

percents are input under WTPC as 80 % and 20 % rcspectively.

(iii) SINCandSLIM

SMC (step increment) is the incmmenting parameter that defmes how much

mineral or rock reactant will be titratcd into the que- phase of the CHILLRLM file

(Reed and Spycher, 1998). SLIM (step limit) is the variable that tells CHILLER to stop

once TOTMIX reaches SLIM. TOTMIX is the current amount of reactant added to the

original solution in grarns (Reed and Spycher, 1998). Therefore, if SINC = 1 and SLIM =

10, CHiLLER will titrate 1 gram of the reactant into the aqueous phase of the

CHILLRUN file and continue to do so as long as convergence is reached during each

titration. CHILLER will stop execution once TOTMIX = SLIM. n i e CHILLRUN file

must then be modified by increasing the SMC and SLIM values by a factor of 10 after

each successful run in order to continue modeling. This procedure is continued until

equilibnurn is reached or until CHILLER fails to reach convergence, at which point the

CWLLRUN file would have to be debugged. James Palandri (personal communication,

1998) suggested starting with SINC = 0 . 1 ~ 1 0 ' ~ and SLIM = 0.1 x10" as the initial

CHILLRUN file parameters.

@) Sulfide Oxidation and Feldsw Dissolution Reactions

(i) 100 % Pyrite

CHILLER was initially up to sirnulate how pure pyrite would oxidize within

an aqueous environment in which the water has a chernical composition equivalent to that

in Table 2. Pyrite was titrated into the aqueous phase by CHlLLER where it was

immediately broken down and the sulfiu was oxidized according to reaction 2, producing

~ e " , ~0;- and H' (Figure 4C).

The Hf liberated by reaction 2 acidifies the system and causes the pH to decrease from the

initial value of 5.5. Goethite simultaneously precipitates acwrding to reactions 3 and 29

(Figure 4A).

~ e * + 2H20 * FeO(0H) + 3lf goethite

The ~ e ~ ' produced in reaction 2 is oxidhd according to reaction 3 into femc iron (~e)').

The subsequent hydrolysis of ~ e " leads to the formation of goethite (reaction 29) (Figure

4A). Reactions 2 and 3 consume oxygen and deplete [w] within the system (Figure 4C

5 4 3 Log w / r

Figure 4. Reaction of 100 % pyrite (Appendix A, Figure 1) with water (Table 2) at 25 O C and no atmospheric contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) pH and Iog total aqueous molality of the principal component species (Le. Z F ~ " represents the total of al1 aqueous Fe species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly fkom the Log total aq molality and Log molality axes of B and C respectively.

Figure 4. (Contuiued)

and D). The bisulfate species (HSO43 increases in abundance prior to point 1 due to the

protonation of ~ 0 4 ' - (reaction 30). The increasing [Hfl cirives reaction 30 to the right

producing HSOj'.

Point 1 / Interval 1-2

At point 1 [o2'] rapidly decreases (Figure 4C and D) in response to the rapidly

increasing [~e"] which drives reaction 3 to the right consuming 0:. The activity of ~ e "

increases as it is produced more rapidly in reaction 2 than it is consumed through reaction

3. The bisulfate species (HSOs] continues to increase in abundance, within interval 1-2,

according to reaction 30.

Point 2

At point 2 F ~ S O ~ fonns according to reaction 31; ~ e ~ ' and SQ*- within the

system have increaseâ sufficiently to drive reaction 31 quantitatively to the right.

H~S' also forms at point 2 (reaction 32) due to the presence of H' and HS-.

Pyrite oxidation ceases (or slows dramatically) as the available oxygen within the

system has decreased significantly (Figure 4C and D). The low [O:] inhibits the

oxidation of femus to femc iron in reaction 3. As a result, goethite does not form

becaw femc Uon is requued for its formation according to reaction 29. The initial pH

of the fluid has decreased fiom 5.5 to approximately 3.5 at point 2 as a result of reactions

2, 3 and 29 (Figure 4B and C). At this point goethite is replaced by pyrite as the stable

solid phase (reaction 33).

FeqOIi) + 2~0: + 4H+ " Fe& + '12~20 + 7512~2' goethite pyrite

Reaction 33 is the surn of reactions 2, 3 and 29. The relative stability of the two phases

(pyrite and goethite) is controlled by and [02'], the increased H? and decreased 02'

concentrations force reaction 33 to the right where pyrite stabilizes. The pH increases

slightly as a result of the H+ consurned by reaction 33, yielding a f m l equilibrated pH of

48

approximatcly 3.8. Once equilibrium has been reacheâ, pyrite sirnply accumulates as it is

titrated into the system by CHILLER

(ii) 100 % Pyrrtiotite

CHILLER was also set up to simulate the oxidation of pure pyrrhotite within an

aqueous environment. Pyrrhotite was titrated by CHILLER into the aqueous phase (see

Table 2) where it was immediately broken down and the s u l h was oxidized according to

reaction 1 1 (Blowes and Ptacek, 1994; Blowes et al., 1994; Nicholson, 1994).

F e ~ . ~ s + xH20 + (2-x/2m' P ( l - x ) ~ e ~ + + !Sa2- + 2& pyrrhotite

The products of reaction 11 ( ~ e * ' , SO~" and H-') accumulate within the aqueous phase

(Figure SC) and the system pH decreases fiom the initial value of 5.5. Goethite

simultaneously precipitates (Figure SA) as the ~ e ~ ' produced in reaction 11 is oxidized

into ~e) ' and hydrolyzed according to reactions 3 and 29. Bisulfate (HSO43 increases in

abundance pnor to point 1 due to the pmtonation of ~ 0 1 ~ ' (reaction 30) (Figure 5C). The

oxygen w i t h the system is depleted by reactions 11 and 3 as it is consumed during the

oxidation of pyrrhotite (Figure 5C and D).

Point 1 1 Interval 1-2

At point 1 [ 02O] rapidly decreases (Figure 5C and D) as it did in the pyrite

oxidation simulation. The rapidly increasing [~e'+] continues to drive reaction 3 to the

right, consuming 020 in the process while goethite is produceci (reaction 29). The activity

49

Figure 5. Reaction of 100 % pyrrhotite (Appendix A, Figure 1 1 ) with water (Table 2) at 25 OC and no abnospheric contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the principal component species (i-e. L F ~ " represents the total of al1 aqueous Fe species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly fiom the Log total aq molality and Log molality axes of B and C respectively.

of HSO; continues to increase up to point 2 due to the protonation of ~ 0 4 " (reaction 30).

Point 2 and Point 3

At point 2 the system pH has decreased to approxirnately 3.6 (Figure 5B and C) as

a result of the H' produced through reaction 1 1. F ~ S O ~ ' forms (reaction 3 1) as [ ~ e ~ ' ] and

[so~'-] continue to increase according to reaction II . Goethite is replaced by pyrite at

point 3 as the stable solid phase (reaction 33). The increased [H'] and decreased [oz0]

force reaction 33 to the right and pyrite stabilizes. The pH increases slightly to

approximately 4.1 at point 3 as a result of the H' consumed by reaction 33.

Intet-val 3-4

The excess [H+J drives reaction 14 (Nicholson, 1994) to the right and pyrite forms

as the sultùr in pyrrhotite is oxidized (Burns and Fisher, t 990; Fisher and Burns, 1990).

The pH of the system increases to approximately 6.4 as a mult of the H' consumed

through reaction 14. Goethite re-precipitates within interval 3-4 as the ~ e ~ + is oxidued

into ~ e ~ ' (reaction 3) and hydrolyzed according to reaction 34.

Reaction 34 acts as a decent pH buffer, holding the pH between 6.4 and 6.79 within

interval 3-4. The H' produced in reaction 34 offsets the H+ consumed through reaction

14. This buffer (reaction 34) however, fails when magnetite forms at point 4. The

activity of 02' is also buffered within this interval as the 02' prduced from reaction 34

offsets the 0; consumed in reaction 14.

Point 4

Magnetite forms at point 4 (Figure 5A) as the decreasing [a0] (Figure SC) drives

reaction 35 to the right.

The H+ produced in reaction 35 offsets the H' consumed in reaction 14. The formation of

magnetite (reaction 35) acts as a good pH buffer, holding the pH at approxirnately 9.42

within interval 4-5. This buffer however, fails when al1 of the goethite has been

52

consumed (rcaction 35) within intcmal 4-5. The concentration of the bisulfate species

(HS043 decmases at point 4 and, as a mult, H' and ~ 0 4 ~ - arc consumed according to

reaction 30 as the reaction is driven to the right. The decreasing @?e27 and [ ~ 0 4 * 7 within

interval 4-5 forces reaction 31 to the leA consuming F~SOI* in the process.

While magnetite fonns through reaction 35, and prior to the complete

consumption of goethite, pyrrhotite stabilizes. The low [027 forces reaction 11 to the left

and pyrrhotite forms as the stable solid phase. The system pH inoreases to a f d

equilibrated value of approximately 9.75 at point 5. Once equilibrium has been reached,

pyrrhotite simply accumulates as it is titrated into the system by CHILLER.

(iii) Pyrite and Feldspar Reactions

Due to tirne çonstraints and the fact that the 100 % pyrrhotite reaction mode1

(Figure 5) was buffered to higher pH values (by the formation of goethite and magnetite),

pyrrhotite was not modeled with the addition of feldspars. The pH for the 100 % pyrite

reaction mode1 however, was buffered at a much lower value (3.8), so the main focus of

this work was the investigation of how feldspars (and various proportions of these

feldspars) affect pyrite oxidation. Models with ratios of 1 :1, 1:4 and 4: 1 pyrite:feldspar

(albite, anorthite and microdine) were chosen to explore how these reactions would

evolve, and to determine what affect increasingldecreasing the pyrite:feldspar ratio would

have on the results. At a ratio of 1 :4, CHILLER titrates 1 part sulfide for every 4 parts of

feldspar into the aqueous phase. At a 1 : l ratio, equal parts of sulfide and feldspar are

titrated into the aqueous phase and at the 4:l ratio, 4 parts sulfide per 1 part of feldspar

are titrated into the aqueous phase. For bwity, this section deals with thc modcls for the

1: 1 ratios of pyrite:feldspar, showing how pyrite was buffcred by the pmsence of the

different feldspars. The results for the correspondhg 1 :4 and 4: 1 pyrite:feldspar (albite,

anorthite and microcline) reaction models can be found in Appendix C.

The following section describes the 1:l reactions between pyrite + microcline

(Figure 6), pyrite + albite (Figure 7), and pyrite + anorthite (Figure 8). Table 2 contains

the composition of the initial aqueous phase for al1 of the modekd reactions. In ah three

situations, CMLLER titrates pyrite into the system where it reacts with the aqueous

component to produce ~ e ~ ' , ~ 0 4 ~ - and H' (Figures 6C, 7C and 8C) (reaction 2). Goethite

precipitates as a result of reactions 3 and 29 as ~ e ~ + is oxidized into ~ e ~ + and ~ e ~ ' is

hydrolyzed (Figures 6A, 7A and 8A). Goethite remains stable over intervals 1-3 (Figures

6A, 7A and 8A), but is replaced by pyrite (reaction 33) at point 3 as the stable solid

phase. A minimum pH of approximately 3.7 is reached at point 3 for the 1 : 1 reactions

involving pyrite + microdine and pyrite + albite (Figures 6B and 7B), while a minimum

pH of approximately 3.8 is reached at point 3 for the 1 : 1 pyrite + anorthite reaction model

(Figure 8B). The relative stability of the two phases (pyrite and goethite) is controlled by

[H'] and [oz0]. The increased activity of H' and the decreased activity of 02 forces

reaction 33 to the right where pyrite stabilizes. Some H' is consumeci as a result, and the

pH increases slightly to approximately 4 within interval 3-4 (F4gures 68, 7B and 8B).

The fluid then reaches equilibrim with pyrite and pyrite simply accumulates in the

system as it is titrated by CHILLER.

(a) 50 % Pyrite + 50 % Microcline

The following minerals are initially undersaturated in the aqueous phase for the

reaction of 50 % pyrite and 50 % microcline with rainwater: pyrite, goethite, diaspore,

kaolinite, quare clinochlore, daphnite, stilbite, muscovite, and microdine. Table 3

summarizes the main featuredresults of this reaction and illustrates the minerals present,

produced and consumed, pH and buRering reactions (with buf5ered pH values where

applicable) for the points and intervais of Figure 6.

Microcline is simultaneously titrated into the aqueous phase with pyrite where it

dissolves congruently produciag K+, ~ l ~ * , si&', and AIO(OH)~ (Figure 6B and C), the

activities of which increase according to reaction M.

2KAISi308 + sH+ AIO(OH)@ + 2K* + 6~i0: + AP + 2H20 (36) microcline

The increasing IH+] (from pyrite oxidation) drives reaction 36 to the nght, consuming

microcline in the process. Although this reaction consumes H+, it does not consume H' at

a faster rate than it is produced h u g h the oxidation of pyrite and the subsequent

formation of goethite (see reactions 2,3 and 29) and has no apparent visible affect on pH

over intervals 1-3 (Figure 6B and C).

Interval 1-2

At point 1 diaspore saturates (Figure 6A) due to an increase in [AI"] and

[ A I ~ o H ) ~ (Figure 6C) that drives reaction 37 to the right.

The overall reaction for the formation of diaspore withia this system is shown in reaction

38 (which is the surn of reactions 36 and 37). Diaspore forms as reaction 38 proceeds to

the right (as a result of m), consurning microcline in the process.

2KAISi3@ + 2H+ * ZNO(0H) + 2K* + 6510; microcfine dkpore

Interval 2-3

Diaspore continues to f o m through reaction J(I until [sio2'] has increaxd

sufficiently for kaolinite to saturate (reaction 39). Kaolinite forms at point 2 (Figure 6A)

as the increasing [si@)] (Figure 6C) drives reaction 39 to the right, completely

consuming diaspore in the process.

Reaction 40 (which is the surn of reactions 38 and 39) now takes over as the main H'

consuming reaction (as diaspore has been consumed). Kaolinite is produced at the

expense of microcline and H' as reaction 40 proceeds to the right.

2KAlSi308 + H 2 0 + 2H* * AhSia05(OH)d + 2K+ + 4si0z0 microcline kaolinite

Figure 6. Reaction of 50 % pyrite and 50 % microcline (Appendix A, Figure 4) with water (Table 2) at 25 OC and no atmospheric contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the p ~ c i p a l component species (Le. X A ~ ~ ~ represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly from the Log total aq molality and Log molality axes of B and C respectively.

9 8 7 6 5 4 3 2 1 O -1 Log w/r

Interval 3-4

At point 3 the amount of kaolinite produced increases as the excess H' and the

HzO produced fiom goethite reacting out in reaction 36 drives reaction 40 to the right.

Quartz saturates soon after point 3 (within interval 3-4) (Figure 6A) due to the increased

[S~O~']. As the activity of H' is relatively high within interval 3-4 and the amount of

microcline titrated into the system is fairly low, H' is consumed slowly by reaction 40.

Consequently, the pH appears to be buffered within interval 3-4 (Figure 6B and C) by

reaction 40. The pH however, is not buffered within interval 3-4 and as more and more

microcline is titrated into the system, H' is consumed rapidly. The resultant pH increases

to approximately 6.2 at point 4 as H+ is consumed by reaction 40, where daphnite and

clinochlore precipitate.

The decrease in drives reaction 30 to the lefi coasuming HSO4- dong interval

3-4 (Figure 6C). The ~ 0 4 ~ - produced fkom reaction 30 along with the ~ e " in the systcm

produces F ~ S O ~ ' according to reaction 31. The activity of F ~ S O ~ ' i n c m along

interval 3-4 due to the increases in [ ~ e * 7 and [so~~-] (Figure 6C) which drives reaction

31 to the right The activity of HS- increases along interval 3-4 at the expense of [H~s*]

due to the decrease in (Figure 6C). R e f e r ~ g back to reaction 32, the drop in

dnves reaction 32 to the left producing HS-.

Interval 4-5

As [H+J continues to decrease (Figure 6B) daphnite and clinochlore saturate at

point 4 (Figure 6A) (reactions 41 and 42 respectively).

The drop in forces both of these reactions to the right consuming ~e'' and M ~ ~ ' in

the process. The H' produced in reactions 41 and 42 offsets the H' consumed in reaction

40 and buffers the pH between 6.25 and 6.5 witfiin interval 4-5. The b u f f e ~ g effect of

the chlorite pH buffers (Figure 6A) however, fails when L [ F ~ ~ C ] and z [ M ~ ~ ~ decrease

(Figure 68) as they are depleted by the precipitation of daphnite and clinochlore

(reactions 41 and 42 respectively). ~ e ~ ' is a balancing ion in reaction 41 and M ~ ~ + is a

59

balancing ion in reaction 42. The decline in L B * ~ and z[M~'] allows the pH to

increase to about 7.1 in intend 4 5 (Figure dB), where stilbite forms. The activity of

F ~ S O ~ ' decreases as a result of the drop in [ ~ e ~ q dong interval 4-5 (Figure 6C) (see

reaction 31). The &op in pe2C] forces reaction 31 to the lefi consuming [F~so?].

The stilbite-chlorite pH buffer also occurs within interval CS (Figure 6A). The

low and the presence of ~ a + , ca2', si0zo, and AIO(OH)~ (Figure 6 8 and C) forces

reaction 43 to the nght where stilbite saturates.

~ i + + 2ci2' + 19sia' + 9~10(0H)' + SFC'+ + SM^' + 30H20 * Ckl + Dpb + NiCa2(AI5Sii,Os) -14H20 + 25EI' (43)

stilbite

The stilbitechlonte pH buffer fails alrnost immediately as z[ca2'-j decreases in interval 4-

5 (Figure 68) due to the ptecipitation of stilbite (ca2+ is a balancing ion in reaction 43).

The slope of [a curve in interval 4-5 (Figure 6B) changes very slightly as stilbite foms.

The H' produced in reaction 43 does little to offset the H' consumed in reaction 40. As a

result, the pH increases to approximately 7.8 at point 5, where muscovite foms.

As a note, [~1 ' 7 rapidly decreases (within interval 4-5) (Figure 6C and D) and yet

L[AI~'] increases in Figure 6B over the same interval. The increase in L[AI~'] within

interval 4-5 (F4gure dB) is due to AlOf, which is not shown on Figure 6C, for the sake of

simplicity. The same peculiarity can also be observed in Figures 7 and 8 for the 1 : 1

reactions involving pyrite + albite and pyrite + anorthite.

Interval 5 4

Kaolinite continues to fom through reaction 4û as microdine is titrated into the

system until WC] has increased sufficientiy for muscovite to become stable (Figure 6A,

point 5). Muscovite precipitates at point 5 as the excess K' drives reaction 44 to the right

(consuming kaolinite).

Reaction 45 (which is the sum of reactions 40 and 44) now takes over as the main H'

consuming reaction. Muscovite is produced at the expense of microche and H+ as

reaction 45 proceeds to the ri&.

The kaolinite-muscovite-stilbite-chlorite pH buffer (reaction 46) briefly acts as a

good pH buffer, holding the pH at appmximately 7.8 within interval 5-6 (Figure 6B).

The H' produced in reaction 46 balances the I f + consurned in reaction 45. The kaolinite-

muscovite-stilbite-chlorite pH buffer however, fails when al1 of the kaolinite is converted

to muscovite in reaction 46. As a result, insufficient Hf is produced (by reaction 46)

Table 3. A summay of the main f-tandnsrlb of tbt 1:l Pyrite:Micmcliae reaction mode1 UIomiting tbe mioemb praeot, prodacd and consumed, pH and buffering reactiou (4th bu f fed pH valaa where applhbk) for the points and in tervals of Figure 6.

1 : 1 Py :Mc

Gt Point 1

L

Interval 2-3

Minerals Produced

DSP

Gt, Kln 1

Point 3

Clcl, Dph

Stable Minerais

Point 4

PY Kln

Clcl, Dph

Interval 5-6

Point 6

Minerals Consumed

Py,Kh@z

Beyond Point 6

Kln

Mc Dph, Stb, Ms Py, QtZ, clcl, Dph, Stb, Ms, Mc

Kln Dph, Stb b, QW cicl, Dph, Stb, Ms l'Y, h clcl,

B u f f e ~ g Reactions (and buffered pH,

to balance the H' consumed through mction 45.

The pH continues to hcrease as excess H' is consumed through mction 45

(Figure 6B) until microcline dissolution ceases (or slows dramatically). At point 6

(Figure 6A) the system reaches equilibrium with microcline and the microcline-

muscovite-stilbitechlorite pH bufier (reaction 47) yields a fmal equilibrated pH of

approximately 8.3.

3Mc + ~ a ' + 2ca2+ + 13si-@ + ~AIO(OH)@ + 5h2* + SM< + 3OHzO if

Ms + 2K+ + clcl + ~ p b + Stb + 23H' (47)

Microdine continues to accumulate beyond point 6 (Figure 6A) as it is titrated into the

systern by CHILLER.

(b) 50 % Pyrite + 50 % Albite

The aqueous phase for the reaction of 50 % pyrite and 50 % albite with rainwater

is initially undersaturated with respect to the following minerals: pyrite, goethite,

diaspore, kaolinite, quartz, clinochlore, daphnite, stilbite, celadonite, paragonite, and

albite. Table 4 sumarizes the main features/results for this reaction and illustrates the

minerals present, produced and consumed pH and b u f f e ~ g reactions (with buffered pH

values where applicable) for the points and intervals of Figure 7.

Albite is simultaneously titrated into the aqueous phase with pyrite where it

dissolves congruently producing Na', AI'+, ~ i 0 2 ' , and AIO(OH)~ (Figure 78 and C). the

activities of which increase accordhg to rcaction 48.

63

The H' produced from the oxidation of pyrite drives reaction 48 to the right conswning

albite. Although this reaction also wnsumes H', it does not consume H+ at a faster rate

than it is produced through the oxidation of pyrite (and the subsequent formation of

goethite, reactions 2,3 and 29) and has no apparent visible affect on pH over intervals 1-3

(Figure 78 and C).

Interval 1-2

Diaspore saturates at point 1 (Figure 7A) as [AI'+] and [ A I O ( O ~ ~ ] increase

(Figure 7C) and drive reaction 37 to the right. Reaction 49 (which is the s u m of reactions

37 and 48) represents the overall reaction for the formation of diaspore. Diaspore is

produced as reaction 49 moves to the right, (driven by m), consuming albite.

Interval 2-3

At point 2 [si&'] has increased sufficiently for kaolinite to sahirste according to

reaction 39. Kaolinite foms at point 2 (Figure 7A) because the increased [si97

(Figure7C) drives reaction 39 to the right, completely wnsurning diaspore. Reaction 50

(which is the sum of reactions 39 and 49) now represents the dominant H' consuming

reaction. Kaolinite foms at the expense of microcline as the excess H' in the system

drives reaction 50 to the right.

64

--

Figure 7. Reaction of 50 % pyrite and 50 % albite (Appendix A, Figure 2) with water (Table 2) at 25 OC and no atmospherk contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals formed in log motes. (B) pH and log total aqueous molality of the principal component species (i.e. ZAI)' represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly from the Log total aq molality and Log molality axes of B and C respectively.

65

9 8 7 6 5 4 3 2 1 O Log w / r

- - ---A-L.------- .. -- -- - -- --.- --

Figure 7. (Continued)

2NaAISi301 + H 2 0 + 2H' * Alfii2Os(OW + 2 ~ a + + 4 ~ i 0 ? albite kaolinite

Interval 3-4

The amount of kaolinite produced increases at point 3 as the excess K' and the

H 2 0 produced fiom the goethite reacting out in reaction 33 drives reaction 50 to the right.

Quartz saturates within interval 3-4 (soon after point 3) (Figure 7A) due to the increased

[s~o:]. As the activity of H' is relatively high within interval 3-4 and the arnount of

albite titrated into the system is fairly low, H' is consumed slowly by reaction 50.

Consequently, the pH appears to be buffered within interval 3-4 (Figure 7B and C) as

kaolinite forms according to reaction 50. The pH however, is not buffered within interval

3-4 and as more albite is titrated into the system, H+ is consumed more rapidly. The pH

increases to approximotely 6.2 at point 4 as H* is consumeci by reaction SO, wbere

daphnite and clinochlore precipitate.

HS0,- is also consumed along interval 3-4 as the drop in IHI] drives reaction 30

to the left (Figure 7C). The SO~" produced through reaction 30 combines with the ~e'+

in the system to produce F~SO: (Figure 7C) according to reaction 31. The activity of

F ~ S O ~ ' incrrasa dong interval 3 4 as reaction 31 proceeds to the right. The activity of

HS- also increases dong interval 3-4 due to the decrease in [m. Referring back to

reaction 32, the drop in drives reaction 32 to the left and produces HS' while it

consumes H~S* (Figure 7C).

Interval 4-5

The decreasing (Figure 7B) causes daphnite and clinochlore to saturate

(Figure 7A) according to reactions 41 and 42 respectively. ~ e ~ + and M ~ ~ + are consumed

as the decreased [H+l forces both of these reactions to the right. The H+ consumed in

reaction 50 is offset by the H+ produced through reactions 41 and 42 and this causes the

change in the slope of the aH' curve. The buffering effect of the chlorite pH buffers fails

when z[F~*Y and zwg2'] (Figure 7B) rapidly decrease as they are depleted by the

formation of daphnite and clhochlore (Figure 7A). ~ e ~ ' is a balancing ion for daphnite

(reaction 41) and MC is a balancing ion for clinochlore (reaction 42). The drop in

z[l7e2'] and 12wg27 allows the pH to increase to about 7.1 in interval 4-5 (Figure 7B),

where stilbite fonns.

The stilbitechlorite pH buffer appears in interval 4-5 Figure 7A). The decreased

and the prescnce of ~ a * , ca2+, si&', and AIO(OFI)~ (Figure 7B and C) drive

67

reaction 43 to the right and stilbite f o m . The stilbite-chlorite pH buffkr f i l s alrnost

immediately due to the drop in ~[ca*'] in interval 4-5 (Figure 7B) due to the fortnation of

stilbite (ca2' is a balancing ion in reaction 43). The H' produced in reaction 43 does little

to offset the H' consumed in maction 50 so the slope of the aH' curve in interval 4-5

(Figure 7B) changes very little. The pH increases to approximately 9.4 at point 5, where

celadonite f o m .

The activity of F~SOI' decreases as a result of the drop in v e 2 7 along interval CS

(Figure 7C) (see reaction 31). The drop in r e 2 T forces this reaction to the lefi

consuming al1 of the F ~ S O ~ * (Figure 7C). The activity of HSO; also decreases along

interval 4-5 (Figure 7C) (see reaction 30). The decraaxd forces this reaction to the

left consuming al1 of the HS04- (Figure 7C).

Interval 5-6

The celadonite-stilbite-chlonte mineral pH buffer occurs in interval 56 (Figure

7A) (reaction 51). Celadonite precipitates at point 5 (Figure 7A) as the low and the

K' fiom the rainwater drive reaction 51 to the right.

~ a + + 2ca2+ + K' + I?eH + 2 3 ~ i a ' + IOAIO(OH)' + me2+ + 6 ~ 8 + 3 4 I h ~ ~ 0 *

Cdn + Ckl+ Dph + Stb + 2'ha0 + 33H' (51)

The celadonite-stilbitechlorite pH buffer fails almost immediately as zwg27, L [ K ~ ,

L[F~~'] and z[A~'T (Figure 7B) al1 decrease in interval 5-6. The decrease of any of these

balancing ions causes the celadonite-stilbite-chlorite pH buffer ta fail. The H+ pduced

in reaction 51 does nothing to offset the H' consumcd in reaction W. As a muk, the pH

increases to approximatcly 10.5 at point 6, whcrt paragonite f o m .

Interval 6-7

Kaolinite continues to form through reaction 50 as albite is titrated into the system

until par] has increased suficiently and paragonite becornes stable (Figure 7A, point 6).

Paragonite precipitates at point 6 as the excess ~ a ' drives reaction 52 to the right

(consuming kaolinite).

Reaction 53 now takes over as the main H' consuming reaction; paragonite is produced

as albite and li' are consumed.

The kaolinite-paragonite-celadonite-stilbite-chlorïte pH buffer (reaction 54)

briefly acts as a good pH buffer, holding pH at approximately 10.5 in interval 6-7 (Figure

7B)-

3Kla + 3Na' + Xa2+ + K' + ~ e * + 23siam + IOAIO(OH)' + 6~e'+ + 6lWC + 3l 'h~20 *

2Pg + Cdn + C M + Dph + Stb + 2'120zm + 35H? (54)

Table 4. A summay of the main f ~ h i d ~ i l t s of the 1:l Pyrite:Albitc reaction mode1 illustrating the minerab pracnt, producd and coismmed, pH and bumering reactions (with buf fed pH values where applieibk) for the points and intervals of Figure 7.

Point 1

Interval 1-2

Point 2

Lnterval2-3

1 Interval 3-4

Interval 4-5

Interval 6-7 r- Point 7 r- Point 7

Minerals Produced

DSP

Stable Minerals

Gt

4.57 Kln

PY

Stb

Qtz

Clci, Dph

Clcl-Dph (6.25-6.5)

Minerals Consurned

Gt

Gt, ml

Kln

DSP

1

PY, Kin

b, K h Qtz

Bufférhg Reactions (and buffered pH, where applicable)

Gt

Cdn

pH

5.49

3.72

Ab-Kln-Qtz (3.98-4.3 1)

Dph, Stb, Cdn w, Q@ clcl,

1 Dph, Stb, Cdn, Pg 1 Clcl-Dph (1 0.75) Ab Ab-Pg-Ch-Stb- 10.75

6.27

m, K h QtG Clcl, Dph, Stb b, K h QG Clcl, Dph, Stb, Cdn

Ab

1 Pg, Ab 1 1 1

Kh

Stb-Clcl-Dph

Cdn-Stb-C lcl-Dp h

Kln-Pg-Cdn-S tb- Dph, Stb, Cdn, Pg py, QQ CICI,

9.4

Clcl-Dph (1 0.53) Ab-Pg-Cdn-Stb- 10.75

The H' produced in reaction 54 ôaîances the H+ consumed in reaction 53. The kaolinite-

paragoniteceladonite-stiIbite-chlorite pH b a r fails when al1 of the kaolinite is

converted to paragonite (reaction a). As a result, there is not enough H' produced to

offset the H' consumed in reaction 53.

The pH continues to increase as excess H* is consumed in reaction 53 (Figure 7B)

until albite dissolution ceases (or slows drarnatically). At point 7 (Figure 7A) the fluid

reaches equilibrium with aibite and the albite-paragonite-celadonite-stilbite-chlorite pH

buffer (reaction 55). yields a f d equilibrated pH of approximately 10.7.

3Ab + 2ca2+ + K' + ~ e * + 17~i0: + 1 0 ~ 1 q o H ) ~ + 617e2+ + MC + 3 4 1 / 2 ~ 2 ~ r+

Pg + Cdn + Ckl + Dpb + Stb + NI+ + 2'/202Q + 31H+ (5s)

Albite continues to accumulate beyond point 7 (Figure 7A) as it is titrated into the system

by CHILLER.

(c) 50 % Pyrite + 50 % Anorthite

The following minerals are initially undersaturated in the aqueous phase for the

reaction of 50 % pyrite and 50 % anorthite with rainwater: pyrite, goethite, diaspore,

kaolinite, clinochlore, daphnite, stilbite, laumontite, margarite, calcite and anorthite.

Table 5 sumrnarizes the main features/results of this reaction and illustrates the minerals

present, produced and consumed, pH and buffering reactions (with buffered pH values

where applicable) for the points and intervals of Figure 8.

Anorthite is sirnultaneously titrated into the aqumus phase with pyrite where it

dissolves congruently producing caZ', AI^+, si@, and A~o(oH)~ (Figure 8B and C),

thei. activities increase accorâing to reaction 9 5 .

The activity of H' (which has increased due to the oxidation of pyrite) drives reaction 56

to the right and anorthite is consumed. Although reaction 56 consumes H+, it does not

consume H' at a faoter rate than it is produced thrwgh the oxidation of pyrite and the

subsequent formation of goethite (see reactions 2, 3 and 29). The arnount of H+

consumed by reaction 56 appears to have no apparent visible affect on pH over intervals

1-3 (Figure 8B and C).

Interval 1-2

At point 1 diaspore saturates (Figure SA) in response ta the increased AI^+] and

[AIO(OH)~J (Figure 8C), drïving reaction 37 to the right. The overall reaction for the

formation of diaspore is shown in reaction 57 (which is the sum of reactions 37 and 56).

Diaspore is produced as reaction 57 moves to the right (due to m), consuming

anorthite.

Interval 2-3

Kaolinite saturates at point 2 (Figure 8A) because of an incrcase in [sio2'] which

drives reaction 39 to the right. As a result, diaspore is completely consumed in interval 2-

3 (Figure BA). Now, the main H' consurning reaction involves the formation of kaolinite

as the excess drives reaction 58 (which is the sum of reactions 39 and 57) to the right.

Interval 3-4

At point 3, diaspore saturates (Figure 8A) due to an increase in [ ~ 1 0 0 f l ] (Figure

8C) which drives reaction 37 to the right. The ïncrease in [ A I O O ~ , observed only

within interval 3-4 of this model/simulation, can be attributed to the fact that there are 2

moles of ~ l ~ ' released per mole of anorthite consumed (while only 1 mole of AI^' is

produced per mole of albite or microcline wnsumed). The increase in [ A I O O ~ ] drives

reaction 37 to the right, produchg diaspore. In addition, the amount of kaolinite

increases at point 3 as the excess H+ and the HzO produced as a result of the goethite

reacting out (see reaction 33) drives reaction SS to the right.

As the activity of H' is relatively high within interval 3-4 and the arnount of

anorthite titrated into the system is fairly low, H' is consumed slowly by reaction 58.

Consequently, the pH appears to be buffered within interval 3-4 (Figure 8B and C) by

reaction 58. The pH however, is not buffered within interval 3-4 and as more anorthite is

Figure 8. Reaction of 50 % pyrite and 50 % anorthite (Appendix A, Figure 3) with water (Table 2) at 25 OC and no atmospheric contact. Mineral abbreviations can be found in the 'List o f Abbreviations'. (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the principal component species (Le. LAI^' represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly from the Log total aq molality and Log molality axes of B and C respectively.

Log w/r

titrated into the system, H' is consumed rapidly. The H' consumed by reaction 58 causes

the pH to increase to approximately 6.3 at point 4, where daphnite and clinochlore

precipitate.

The decrease in [m drives reaction 30 to the left consuming HS04- along interval

3-4 (Figure 8C). The ~ 0 4 ~ - produced from this reaction along with [~e't] in the system

produces F ~ S O ~ ' according to reaction 31. The activity of F ~ S O ~ ' increases along

interval 3-4 as reaction 31 proceeds to the right (Figure 8C). The activity of HS- also

increases along interval 3-4 due to the decrease in [m. Refemng back to reaction 32,

the drop in [m drives reaction 32 to the leA producing HS- while it consumes [H~s']

(Figure 8C).

Interval 4-5

The decrease in (Figure 88) causes daphnite and clinochlore to sahuate

(Figure BA) accordhg to reactions 41 and 42 (respectively). The &op in drives both

of these reactions to the right consuming ~ e ~ * and M~*+ in the process. The H? produced

through reactions 41 and 42 offsets the H+ consumed in reaction 58. The buffering effect

of the chlorite pH buffers (Figure 8A) however, fails as ~ [ ~ e ~ f i and zwg2'-J decrease

rapidly in intemal 4-5 (Figure 8B) due to the precipitation of daphnite and cIhochlore.

~ e * ' is a balancing ion for daphnite (reaction 41) and M ~ ~ ' is a balancing ion for

clinochlore (reaction 42). The drop in ~ ~ e * 7 and xwg2fi allows the pH to increase to

about 8.9 in interval 4-5 (Figure 8B), where stilbite forms.

Kaolinite is consumed in interval 4-5 (Figure 8A) (see reaction 39) due to the &op

in [si0201 (Figure 8C). As [si@'] decreases reaction 39 is driven to the left and diaspore

forms.

The stilbite-chlorite-kaolinite-diaspore pH buffer also occurs in interval 4-5

(Figure 8A). The depleted [H+l (Figure 8 8 and C) drives reaction 59 to the right and

stilbite forms.

Kla + ~ a ' + 2ca2+ + 17siaa + 9 ~ 1 0 ( 0 ~ ) @ + We2+ + !Mg2+ + 29H20 0

Ckl + Dph + Stb + 2Dsp + 25H' (59)

The stilbite-chlorite-kaolinite-diaspore pH buffer acts as a good pH buffer,

holding the pH at approximately 8.9 (Figure 8B and C) because the H+ produced in

reaction 59 balances the H' consumed in reaction 57. This pH buffer (reaction 59)

however, fails at point 5 once al1 of the kaollliite has been consumed (Figure 8A).

The activity of F~SO? decreases as a result of the drop in [ ~ e ~ + ] along interval 4-5

(Figure 8C) (see reaction 31). The &op in p e 2 7 forces this reaction to the lefi

consuming al1 of the F~SO?. The activity of HSOC also decreases along interval 4-5 and

continues to do so into interval 56 (Figure 8C) (see reaction 30). The decreased [m forces this reaction to the left consuming al1 of the HSOI in interval 5-6 (Figure 8C).

Interval 5-6

The low (Figure 8B and C) within the systern drives reaction 60 to the right

producing laumontite at point 5 (Figure 8A).

An + Stb + ~AIO(OH)@ + 3 ~ i a ' + a e 2 + + SM^ + 16H20 + AP *

Cicl+ Dpb + 3Lmt + 2Dsp + Na' + 22H* (60)

The laumontite-stilbite-chlorite-diaspore pH buffer (reaction 60) also acts as a good pH

buffer, holding the pH at approximately 9 in interval 5-6 (Figure 8B and C). Reaction 61

now takes over as the dominant H+ consuming reaction as diaspore and laumontite fom.

2CaA12S$q + 2H+ + 4H20 2Dsp + Lmt + Ca 2' anorlAiie

The H' produced in reaction 60 balances the H+ consumed in reaction 61. This pH buffer

fails within interval 5-6 once al1 of the stilbite has been converted into laumontite through

reaction 60 (Figure SA). As a result, the pH incrases to approximately 10.3 at point 6

(Figure 8B and C), where calcite foms.

Interval 6-7

Calcite saturates at point 6 (Figure BA) due to an increase in x[ca2? a d a

decrease in IH+] (Figure SB). The increase in z[ca2+] and the decrease in drives

reaction 62 to the right producing calcite.

Calcite does not buffer the pH at all, and as a result, the pH decreases to approximately

1 1.9 at point 7, where margarite forms.

Interval 7-8

Diaspore continues to fom (reaction 61) as morthite is titrated into the system

until z[c~'+] has sufficiently increased and rnargarite stabilizes (Figure SA, point 7).

Margarite sahirates at point 7 as z[ca2+] increases (Figure 88) driving reaction 63 to the

right, consuming diaspore.

2An + 6Dsp + ci2+ + 5 ~ e * + + SM^' + 8 ~ i 0 2 ' + HCO; + 20H20 *

M q + Cal + Lmt + Dpb + Clcl + 21H* (63)

Table 5. A summmy of the main f#tudresiilb of tbe 1:l Pyrite:Anorthitc reaction mode1 illustratiag the mineriils prueat, produced rad consumcd, pH rad boffenng reactions (witb buf fed pH values wbere rpplicabk) for tbe pointa and intervals of Figure 8.

Point 1

1: 1 Py:An

Interval 1-2

Minerals Produced

Stable Minerals

DSP 1 Gt, Dsp

Minerals Conswned

Gt

1

interval 2-3

1 Point 4 1 Clcl, Dph Py, Kln, Dsp I I

L

Gt Point 2

Point 3

D ~ P Kln t Gt, KIn D ~ P

4., Dsp

Interval 4-5

Point 5

Interval 5-6

Point 6

Interval 6-7

Bu ffering Reactions (and buffered pH,

Kin

Stb

Lmt

Cal Dph, Lrnt b, Dsp, clcl,

Interval 7-8

Point 8

1 Beyond 1 poht 8

I

Gt

py, mp, clcl, Dph w, m p , Clcl, Dph PY, Dsp, Clcl, Dph, Lrnt PY, Dsp, Clcl,

An

Mrg-Lm t-Cal-Clcl- Dph-Dsp ( 1 1.92)

An-Mrg-Lmt-Cal- Clci-Dph (1 3.52) An-Mrg-Lmt-Cal- Clcl-Dph (1 3 S2)

Kln

Stb

Stb

Lrnt, Cal w, Clcl, Dph, Lmt, Cal, Mrg pK Clcl, Dph, Lmt, Cal, Mrg An, py, clcl, ilph, Lmt, Cal,

- Mrg

1 3.52

1 3 -52

The margarite-laumontitedcite-chlorite-diaspore pH buffer (rcaction 63) (Figure 8A)

briefly acts as a good pH buffer holding pH at approximately 1 1.9 in interval 7-8. The H'

produced in reaction 63 baiances the H' consumed in reaction 61, however, this buffer

fails when al1 of the diaspore in the system is converted to margarite (Figure 8A)

(reaction 63). Reaction 64 now takes over as the main H' consurning reaction, producing

margarite and laumontite.

3An + 2H+ + 4H20 * Mrg + Lmt + ci2+ (64)

The pH continues to Uicrease as the excess H' is consurned in reaction 64 (Figure

8B) until anorthite dissolution ceases (or slows dramatically). At point 8 (Figure 8A) the

fluid reaches equilibrium with anorthite and the anorthite-margarite-laumontite-cakite-

chlorite pH buffer (reaction 65) yietds a final equilibrated pH of approximately 13.5.

3An + ~AIO(OA)@ + 5hZc + 5IWg2+ + 20H20 + HCO; + 6 ~ i a ' *

Mrg + Lmt + Cal + Dpb + Clel + 19H' (65)

Anorihite accumulates beyond point 8 (Figure 8A) as it is titrated into the system by

CHILLER.

VI DISCUSSION

Numerical practicality according to Reed (1 997) dictates why waterhck reactions

are typically calculated by titrating rock into water. Because of this approach, the initial

waterkock ratios (w/r) are large as the amount of rock titrated into the system is so srnall

(initially) compared to the amount of water (in the initial aqueous phase). Consequently,

the results are usually expressed with the w/r changing fiom a large to a small value as

graphs are read fiom lefl to right (Figure 8). This corresponds to an increasing arnount of

rock k i n g titrated into the system as the graph is read h m left to right. To reiterate, the

models presented within this text represent how the chemistxy of a receptacle (containing

1 kg of rainwater) would evolve as rock is incternentally titrated into the system. After

each titration the rock and the fluid are allowed to equilibrate before the next incremental

addition of rock. This process continues as more and more rock is incrementally titrated

into the repository (refer Figure 1 ), until fmal equilibration is reached.

(A) 100 % Pyrite and 100 % Pyrrhotite

The 100 % pyrite and 100 % pyrrhotite reaction models p d u c e d very different

results. The mudel involving 100 % pyrite proceeded in a predictable manner, similar to

that described by Bethke (1996). Pynte is oxidized and goethite forms as long as there is

sufficient oxygen available within the system (Figure 4). Goethite is one of the principal

secondary products forrned during the oxidation of pyrite or pyrrhotite within a tailings

environment (Jambor, 1994; Blowes and Ptacek, 1994). The pH within the system

becornes acidic (decreases) as H' is produced d u ~ g the bmakdown of pyrite according

to reaction 2. Figure 9 (which is a graph comparing the activity of H' fiom both models)

illustrates this point. The pH decreases up to point 1 (Figure 9) at which point pyrite

oxidation ceases (or slows dramatically) and equilibrium is reached within the system.

The model for 100 % pyrrhotite, on the other hand, behaved in quite a different

fashion. Up to point 1 (Figure 9) the oxidation of pyrrhotite produced results that were

very similar to the results produced in the model for 100 % pyrite. Pyrrhotite is oxidized

and goethite fonns as ~ e " is oxidized and hydrolyzcd (Figure 5) (reactions 11. 3 and 29

respectively). Beyond point 2 (Figure 9) however, the pyrrhotite reaction model

proceeded in a very different manner. The subsequent formation of different pH-

buffering minerals altered the shape of the cuve giving it a distinctive step-like

appearance indicative of good pH buffers. Referring to Figure 5, goethite buffers the pH

between 6.4 and 6.79 (interval 3-4) and magnetite buffers the pH at approxirnately 9.42

(interval 4-5). Where the curve flattens out, the pH is buffered by the formation of a new

alteration mineral phase or assemblage. The initial pH for both of these systems was 5.5

and the final equilibrated pH values for the models (100 % pyrite and 100 % pyrrhotite)

were 3.8 and 9.75 respectively.

The resultant activities of ~ e ~ ' and ~ 0 4 ~ - are also different for the models

involving 100 % pyrite and 100 % pyrrhotite (Figures 10 and 1 1 respectively). ~ e * ' and

~04'- both increase up to point 1 as they accumulate in response to reaction 2 (the

breakdown of pyrite and the oxidation of sulfûr) and reaction 11 (the breakdown of

Figure 9. The activity curves for H' from the 100 % Pyrite and 100 % Pyrrhotite reactions modeled with CHILLER (Figures 4 and 5 respectively). pH can be read directly from the y-axis (Log molality). The selected individual aqueous specie is expressed in log rnolality (not log total aqueous molality).

Figure 10. The activity c w e s for ~ e ~ ' fiom the 100 % Pyrite and 100 % Pyrrhotite reactions modeled with CHILLER (Figures 4 and 5 respectively). The selected individual aqueous specie is expressed in log molality (not log total aqueous molality).

Figure I l . The activity curves for SO~" from the 100 % Pyrite and 100 % Pyrrhotite reactions modeled with CHILLER (Figures 4 and 5 respectively). The selected individual aqueous specie is expressed in log molality (not log total aqueous rnolality).

pyrrhotite and the oxidation of sulhir). With pyrite (reaction 2), ~ e " and ~ 0 4 ' - no longer

accumulate beyond point 1 (Figures 10 and 1 1 ) as equilibrium has been reached. Both

~ e " and ~ 0 4 ' - however, decrease beyond point 1 for the pyrrhotite reaction model and

equilibriurn is not reached until after point 2 (Figures 10 and 1 1). The decrease in the

activities of both ~e'' and ~ 0 4 ~ - are a result of the reactions involved in pyrrhotite

oxidation and the subsequent formation of pyrite, goethite and magnetite (Figure 5).

Magnetite has been suggested by Alpers et al. (1994) to form as a secondary mineral

within the mine waste environment.

The differences between the 1 00 % pyrite and 1 00 % pyrrhotite reaction models

are due to the distinct minera1 assemblages that buffer the pH to different values. For the

pyrite reaction model, the goethite-pyrite pH buffer (reaction 33) buffers the pH to a final

84

equilibrated value of approximately 3.8. The pyrrhotite reaction model however,

proceeds through a series of minera1 pH buffers that alter the shape of the curve.

Reaction 34 (the goethite-pyrite pH buffer) buffers the pH between 6.4 and 6.79, but,

eventually fails and gives way to reaction 35 (the goethite-pyrite-magnetite pH buffer).

Reaction 35 temporarily buffers the pH at 9.42, but, also fails and gives way to the final

minera1 pH buffer, reaction 11. The pyrite-magnetite-pyrrhotite pH buffer (reaction 1 l),

buffers the pH for the 100 % pyxrhotite reaction model to a fuial equilibrated value of

approximately 9.75.

(B) 1 : 1 Pyrite + Albite, %te + Anorthite, Pyrite + Microdine

The results produced fiom the modeled reactions between 1 : 1 pyrite:albite,

pyrite:anoxthite and pyrite:microcline were al1 sirnilar in appearance (Figures 6, 7 and 8).

As expected, pyrite was broken down and the sulfur was oxidized to produce H', ~ e ~ ' and

S O ~ ~ - , until [ 0 2 0 ] decreased significantly to the point at which the reaction ceased (or

slowed dramatically). The corresponding feldspar was broken down through dissolution

and as a result, H' was consumed. A series of mineral pH-buffering assemblages formed

fiom the products of the feldspar dissolution reactions, buffering the acidity within the

system to different values. The steps in the w] curve of Figures 6, 7 and 8 B and C

coincide with the formation of these mineral pH-buffering assemblages. Each step begins

with the formation of a new alteration mineral, which acts as a good pH buffer. The steps

end with the breakdown of the mineral pH buffer by dissolution or by depletion of the

balancing cations activity as the alteration mineral forms.

85

The graphs in Figures 12 through 17 compare the activities of H', 020, ~ l ) + , ~ e * + ,

~0:- and AIO(OH)~ (respectively) h m each model. The differences between the

activities of these species are due to the particular feldspar involved in the reaction. The

cation released by the felâspar in each model (albiteNa', anorthite-Ca2' and microcline-

K3 influences the mineral assemblages that form. A different minera1 assemblage foms

for each of the modeled reactions (1:l pyrite:albite, 1 :1 pyrite:anorthite and 1:l

pyrite:microcline) because of the particular cation (Na', ca2' or K3 involved. Therefore,

the activities of H', O;, ~ 1 ~ ' . ~e", SO?- and AD(oH)* are different in each model

because of the differences that exist between the resultant mineral assemblages.

The pH (Figure 12) for al1 three models decreases up to point 1 after which a

series of pH-buffering minerals forms, a l t e ~ g the [m cwes . The decrease in pH (for

each model) was due to the H' produced fiom the oxidation of pyrite. The reaction

between 1 : 1 pyrite:microcline is the fmt modeled reaction to reach equilibrium (Figure

1 2, point 2) and has a fmal equilibrated pH of approximately 8.3. The 1 : 1 pyrite:anorthite

reaction model takes the longest to mach equilibriurn (Figure 12, point 3) and has a fmal

equilibrated pH of approximately 13.5. Based on these results, if a near-neutral pH is

desired, microcline would be the prefemd feldspar to use as a mineral pH buffer under

these conditions. Anorthite however, would be a more appropriate mineral pH buffer, if

at some point in tirne, more Hf was generated in the system. Under these conditions,

anorthite would have a greater potential to neutralize any acid released into the system

(with time) because it has a much higher final equilibrated pH.

All three models consume oxygen at approximately the sarne rate (Figure 1 3). At

point 1 the rate of 020 mnsumption promptly incrcases as the amount of pyrite titrated

into the system has reached a critical value, rapidly consuming the 0 2 ' as pyrite is

oxidized. The products produced fiom the oxidation of pyrite increase as a result.

Besides the increase in [Fi+] (as previously discussed), the activities of ~ e ~ ' and ~ 0 4 ~ - also

increase up to point 1 (Figures 14 and 15 respectively) as pyrite is oxidized. The activity

of ~e*' decreases beyond point 1 due to the formation of F~SO: and iron-bearing

minemls, daphnite (for the models involving microdine and anorthite) and daphnite and

celadonite (for the albite reaction mode]). The activity of SO~" (Figure 15) is essentially

the sarne for al1 t h e models. The feldspar rnodeled for each system does not appear to

affect, differently, the amount of S O ~ ~ ' released into the system.

The activity of AI)' increases up to point I (Figure 16) as it is produced through

feldspar dissolution. Beyond this point, AL'^ decreases as various Al-bearing alteration

minerals precipitate (Le. kaolinite, the chlorites, the micas, and the zeolites).

Cornparisons of the behavior of [AL-''] (Figure 16) with [Hf] (Figure 12) yield an

interesting fmding. There appears to be a direct relationship between the activities of H'

and AI)' produced fiom the 1 : 1 reactions between pyrite:microcline, pyrite:albite and

pyrite:anorthite (Figures 1 2 and 16, respectively). The corresponding H' and AI-" graphs

for each of these reactions appear to be virtually identical. The relationship that exists

between these species can be explained by examining the equilibrium constant (K).

According to the law of mass action, the relative activities of the reactants and

products of a reaction at equilibrium can be cxpressed in ternis of the equilibrium

5 4 3 Log w/r

-

Figure 12. The activity curves for H' fiom the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). pH can be read directly from the y-axis (Log molality). The selected individual aqueous specie is expressed in log molality (not log total aqueous molality).

Figure 13. The activity curves for 02 fiom the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). The selected individual aqueous specie is expressed in log molality (not log total aqueous molality).

5 4 3 Log w/r

Figure 14. The activity curves for ~ e ~ ' fiom the 50 % Pynte and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). The selected individual aqueous specie is expressed in log molality (not log total aqueous molality).

Figure 15. The activity curves for ~ 0 4 ~ - h m the 50 % Pynte and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). The selected individual aqueous specie is expressed in log molality (not log total aqueous molality).

constant. Consider reaction 37, K relates to the H+ and AI)' species as follows:

As K is a constant, the concentrations of the reactants and products must increase or

decrease in order for K to remain constant. Therefore, because the activity c w e s for H'

and ~ 1 ~ ' (Figures 12 and 16, respectively) are so similar in appearance, it can be

concluded that as H' increases (pH decreases) the corresponding activity of AI^' must

also increase in order for K to remain constant. Conversely, as H' decreases (pH

increases) the corresponding activity of Al3' must also decrease in order for K to remain

constant.

The activity of A I ~ O H ) ' behaves sirnilady for the 1 : 1 pyrite:microclïne and

pyrite:albite reaction models (Figure 17). Up to point 1 (Figure 17), the activity of

AIO(OH)O remains stable due to the formation of diaspore but decreases beyond point 1

because diaspore is no longer stable. The activity of ~lO(0f-I)~ for the 1:l

pyrite:anorthite reaction mode1 remains stable due to the formation of diaspore but

decreases beyond point 2 because diaspore is no longer stable. The activity of AIO(OH)O

increases again at point 3, however, afier decreasing within interval 2-3, because diaspore

is again stable until point 4. As previously discussed, the activity of A I ~ O H ) ' increases

again due to the fact that there are 2 moles of ~ l - " released per mole of anorthite

consumed. The excess AI" causes an increase in [ A I ~ O H ) ~ ] within the aqueous phase

and diaspore re-precipitates at point 3.

5 4 3 Log w/r

Figure 16. The activity curves for ~ l " fiom the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respectively). The selected individual aqueous specie is expressed in log molality (not log total aqueous molality).

Al0 (OH) O 1 4 -

Figure 17. The activity curves for AIO(OH)O from the 50 % Pyrite and 50 % Feldspar (microcline, albite and anorthite) reactions modeled with CHILLER (Figures 6, 7 and 8 respect ively). The selected individual aqueous specie is expressed in log molality (not log total aqueous motality).

The majority of the minerals formed through these rnodelcd reactions have been

reported h m waste rock accumulations. Goethite and kaolinite (although unceitainty

exists as to the latter's identification as a secondary mineral) are reported to form fkom the

oxidation of coal wastes (Jambor, 1994). Kaolhite, goethite and micas (vermiculite and

mked-layer mica-vermiculite) have been identified as secondary minerals in sulfide rich

tailings (Jambor, 1994). According to Blowes and Ptacek (1994) goethite, chlorite,

muscovite and feldspars have been identi fied as principal pH-bu ffering phases in tailings

piles. Zeolites often form as a result of the alteration of feldspars according to Mason and

Berry (1 968). Therefore, zeolites may form through the dissolution of feldspars within a

tailings pile, though none have been reporteci fiom these environments.

The minerals formed during the modeling reactions with CHILLER are al1

identified as minerah that exist within tailings environments or have the potential to exist

under those conditions. Initial test runs with CHILLER however, had resulted in the

formation of several minerals that were questionable, as far as their existence, within

these environments. As a result, these minerals had to be suppressed fkom forming

during modeling by listing them under the SUPNAM feature in the CHILLRUN data file

for each of the modeled reactions. SUPNAM is used to prevent the formation of any

questionable minerals, based on the user's knowledge (Reed and Spycher, 1998) (refer to

APPENDK E for a description of the key components of the CHILLRUN data file).

Some of the minerals suppressed fiom forming duruig these modeling reactions were:

andradite, staurolite, vesuvianite, zoisite, tilleyite, diopside, larnite and menvinite to name

a few.

Although not identified as secondary minerais, paragonite, margarite and

celadonite (al1 micas) could al1 foxm under appmpnate conditions. These minerais may

already fom within tailings piles, especially those known to contain micas (veimiculite

and mixed-layer mica-vemiculite), but they rnay not be present in suficient quantities

and therefore, not yet identified. On the other hancl, no one may have looked at the

possibility of their existence, or the simulations modeled with CHILLER are incorrect.

The sarne rational can be applied to the zeolites (laumontite and stilbite); they may exist

as a byproduct of feldspar dissolution, but remain to be discovered. As noted earlier, the

amount of information regarding the mineralogy (primary and secondary) of mine waste

tailings piles and waste rock accumulations is scant.

One has to bear in mind that the results £iom CHILLER do not actuaiiy dictate

which minerals would form but rather which minerals could form under the specified

conditions. This has to be kept in mind when reviewing the results fiom CHILLER, as

with al1 other geochemical models, the results are not absolute. Gemchemical reaction

modeling serves only as a twl that hopefully leads to M e r , more refmed investigations,

whether it be in the laûoratory or in nature. The reactions presented within this study

test@ to the complexity of the types of possible geochernical reactions that can take place

within mine waste accumulations during the formation of acidic mine drainage.

(C) 1 :4. 1 : 1 and 4: 1 Pvrite + Felds~ar Ratios

The pyrite and feldspar reactions were modeled at ratios of 1 : 1, 1 :4 and 4: 1 to

determine the e ffect of increasingldecreasing the pyrite: feldspar ratio. The mults

93

indicate that increasing or decreasing the pyrite:feldspar ratio had no afféct on the

sequence of alteration minerals fonmd; the resultant bufferùig reactions, buffered pH

values and fmal equilibrated pH were the sarnt for each p u p of modeled reactions. The

results of the pyrite:albite mode ling reactions (1 :4, 1 : 1 and 4: 1 ) were al1 the same, as were

the results tiom the pyriteanorthite and pyrite:microcline modeling reactions- This

conclusion is not surprishg because al1 that is king altered within the CHILLRUN file is

the amounts of pyrite and feldspar titrated into the systems.

Increas ing/decreasing the pyrite: feldspar ratio only affected the point at which the

reactions occurred. As time is not a factor expressed in the results from CHILLER, the

point at which these reactions occur will be related to the waterlrock ratio. To illustrate

this point, refer to the activity diagram for H' (Figure 18) fiom the 1 :4, 1 : 1 and 4: 1

pyrite:microcline reaction models. As can be seen in Figure 18, pyrite oxidation ceases

(or slows dramatically) at point 1 (log w/r = 5) for the 4:l pyrite:microcline reaction

model while in the 1:4 pyrite:microcline reaction model pyrite oxidation does not cease

(or slow dramatically) until point 3 (log wlr = 4.38). Therefore, the 4: 1 pyrite:microcline

reaction model is the first modeled reaction in which pyrite oxidation ceases (or slows

drarnatically) while the 1 :4 pyrite:microcline reaction model is the last modeled reaction

to reach this stage. Al1 three models (1 :4, 1 : 1 and 4: 1 pyrite:microcline) reach a

minimum pH at different w/r ratios (Figure 18 points 1, 2 and 3), and this is directly

related to the pyrite:feldspar titration ratio. At a ratio of 4: 1 pyrite:feidspar, more pyrite is

titrated into the system per titration than in the other modeled reactions (1:l and 4:l

pyrite:feldspar). As a result, the available oxygen within the system (9 ppm 0 2 ) is

consumed more rapidly by the 4:l pyrite:feldspar reaction models and they are the f m t

modeled reactions in w hich pyrite oxidation ceases (or slows ciramatical ly ). Conversely,

the 1 :4 pyrite:microcline reaction mode1 is the f m t modeled reaction to reach equilibrium

(Figure 18 point 4 versus points 5 and 6) because more feldspar (rnicrocline) is titrated

into the system per titration than in the other modeled reactions (1:I and 4:l

pyrite:microcline). As a result, H' is consumed more rapidly by the 1 :4 pytite:feldspar

reaction models and they are the f m t modeled reactions in which equilibrium is reached.

Figure 18. The activity curves for H' fiom the 1 :4, 1 : 1 and 4: 1 Pyrite:Microcline reactions modeled with CHILLER. pH can be read directly fiom the y-axis (Log molality). The selected individual aqueous specie is expressed in log molality (not log total aqueous motality).

Vn CONCLUSIONS

The principal conclusions fiom the results of this study are:

1. The 100 % pyrite reaction mode1 was buffered by the goethite-pyrite pH buffer to

a final equilibrated pH of approximately 3.8.

2, The 100 % pyrrfiotite reaction mode1 was buffered by three distinct mineral pH

bufTers, altering the shape of the [aH+J c w e . The pH was initially buffered between 6.4

and 6.79 by the goethite-pyrite pH buffer, then it was buffered at 9.42 by the goethite-

pyrite-magnetite pH buffer. The model was buffered to a fmal equilibrated pH of

approximately 9.75 by the pyrite-rnagnetite-pyrrhotite pH buffer.

3. The minera1 assemblages produced by each of the modeled reactions (1:I

pyrite:albite, 1 : 1 pyrite:anorthite and 1 : 1 pyrite:microcline) were different because of the

particular cation (Na', ca2' or K') involved. Consequently, the activities of species

produced f?om these reaftions (i.e. H+, O*', AI)') were different in each of the models

because of the differences that existed between the resultant mineral assemblages.

4. The 1:l pyrite:microcline reaction mode1 is the first modeled reaction to reach

equilibrium with a fmal equilibrated pH of approximately 8.3. The 1:l pyrite:anorthite

reaction model took the longest to reach equilibrium and buffered the pH to the highest

final equilibrated value of approximately 1 3 .S.

5 . The minerals formed during the modeling rcactions with CHILLER have becn

shown to exist within tailings environments or have the potential to exist under those

conditions.

The following minerals formed fiom the 1:l pyrite:microcline reaction model:

- goethite, diaspore, kaolinite, quartz, clinochlore, daphnite, stilbite and

muscovite.

The 1 : 1 pyrite:albite reaction model produced the following minerals:

- goethite, diaspore, kaolinite, quattz. clinochlore, daphnite, stilbite,

celadonite and paragonite.

The minerals that formed fkom the 1 : 1 pyrite:anorthite reaction model were:

- goethite, diaspore, kaolinite, clinochlore, daphnite, stilbite, laumontite,

calcite and margarite.

6. Increasing or decreasing the pyrite:feldspar ratio did not affect the sequence of

alteration minerals formed, so the resultant bufiering reactions, buffered pFI values and

final equilibrated pH were the same for each group of modeled reactions. Increasing or

decreasing the pyrite:feldspar ratio only affected the point at which the reactions occurred

(with respect to the watedrock ratio). To illustrate, in al1 three groups of models the 1 :4

(pyrite : feldspar) reaction rnodels reached fmal equilibration fmt (at a higher w/r) whi le,

the 4: 1 (pyrite:feldspar) reaction models were the last to mach fmal equilibration (at a

lower w/r).

VI11 RECOMMENDATIONS

Al1 of the reactions were success!ùlly modekd isolated fiom the atmosphere,

simulating how sulfide oxidation generates acid or AMD and feldspar dissolution

neutralizes/buffers the acid produced in a closed environment. To expand upon this

research, the same reactions should also be modeled without removing the atmospheric

buffers in CHILLER. The results of modeling these sarne reactions open to the

atmosphere would show how pyrite oxidation proceeds indefmitely with an inexhaustible

source of oxygen and unlirnited amounts of pyrite. This type of mode1 could then be used

to predict the minimum percentage of feldspar (depending on type) required to buffer and

neutralize the acid generated under certain conditions. In general, if there are more acid-

consuming minerals in the mine waste, the resulting pH will be near neutral to basic.

CHILLER would have to be modified however, because with previous modelhg

atternpts, the calculated ionic strengths (within CHILLOUT) would increase to excessive

values and the corresponding activity coefficients would lose their meaning in the sulfate-

dominated fluid (M.H. Reed, personal communication, 1998). Reed (personal

communication, 1998) suggests that the activity coefficient routine in CHILLER could be

altered to take into account the sulfate-dominated fluid for a more refined treatment.

Further attempts at modeling the reactions could be made in the laboratory. If

successfiil, CHILLER could then be used in conjunction with the laboratory experhents

to predict the outcome of certain reactions, which could then be tested in a series of

experiments. This approach would produce more diable predictions, since they were

Actuai site specific data reporteci h m mining companies consisting of mine

waste composition, pore fluid chemistry and effluent chemistry could be used by

CHILLER to preâict how theû present remediation techniques will fare with tirne or

model potential mixing remediation strategies. I f the results produced with CHILLER are

accurate, the modeler could use CHILLER to model and predict how the effluent

chemistry fiom newly accumulateci mine waste piles would change with t h e . This

advance would establish CHILLER as a predictive tool for acid mine drainage.

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Ahonen, L., and Tuovinen, O.H., (1994), Solid-phase Alteration and Iron Transformation in Column B ioleac hing of a Corn plex Sulfide Ore, Environmental Geochemistry of Suifide Oxidat ion, American C hemical Society Symposium Series 5 50, Editors: C.N. Alpers and D.W. Blowes, pp. 79-89.

Alpers, C.N., Blowes D.W., Nordstrom, D.K., and Jambor, J.L, (1994), Secondary Minerals and Acid Mine-water Chemistry, Mineralogical Association of Canada Short Course Handbook on the Environmental Geochemistry of Sulfide Mine- Wastes Vol. 22, Waterloo Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp. 247-269.

Bates, R.L., and Jackson, J.A., (1 984), Dictionary of Geological T e m , Third edition. pp. 201, 514,558.

Bethke, C.M., (1996), Geochemical Reaction Modeling, Concepts and Applications, University of Illinois, Urbana-Charnpaign, New York - Oxford University Press, pp. 9-78, 146-149, 165- l98,303-305,33 1-342.

B igham, LM., ( 1 994) Mineralogy of Ochre Deposits Formed by Sulfide Oxidation, Mineralogical Association of Canada Short Course Handbook on the Environmental Geochemistry of Sulfide Mine-Wastes Vol. 22, Waterloo Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp. 103-1 3 1.

Bigham, J.M., Schwertmann, U., Carlson, L., and Murad, E., (1990), A Poorly Crystallized Oxyhydroxysulfate of Iron Fonned by Bacterial Oxidation of Fe(i1) in Acid Mine Waters, Geochimica et Cosmochimica Acta, 54, pp. 2743-2758.

B lowes, D. W., (1 994), Remediation and Prevention of Lowquality Drainage fiom Tailings Impoundments, Mineralogical Association of Canada Short Course Handbook on the Environmental Geochemistry of Sulfide Mine-Wastes Vol. 22, Waterloo Ontario May, 1994, Editon: J.L. Jambor and D.W. Blowes, pp. 365- 3 79.

Blowes, D. W., and Ptacek CL, (1 994), Acid-neutralization Mechanisms in Inactive Mine Tailings, Mineralogical Association of Canada Short Course Handbook on the Environmental Geochemistry of S ulfide Mine- Wastes Vol. 22, Waterlm Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp. 27 1-29 1.

Blowes, D.W., Ptacek C.J., Frind, E.O., Johnson, R.H., Robertson, W.D., and Molson, J. W., (1 994), Acid-Neutralization Reactions in Inactive Mine Tailings Impoundments and Their Effect on the Transport of dissolved Metals, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, pp. 429-438.

Brown, T.L., LeMay, H.E., and Bursten, B.E., (1991), Chemistry The Central Science, Fifth Edition, Prentice Hall, E n g l e w d Cliffs, NJ 07632, p. 661.

Burns, R.G., and Fisher, D.S., (1990), Iron-sulfûr Mineralogy of Mars: Magmatic Evolution and Chernical Weathering Products, Journal of Geophysical Research 95, pp. 14415-14421.

Day, S.J., (1994), Evaluation of Acid Generating Rock and Acid Consuming Rock Mixing to Prevent Acid Rock Drainage, International Land Reclarnation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 2 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 068-94, p. 77.

Dietz, J.M., Watts, RG., and Stidinger, D.M., (1994), Evaluation of Acidic Mine Drainage Treatment in Constructed Wetland Systems, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume I of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, p. 70.

Eger, P., Wagner, J.R., Kassa, Z., and Melchert, GD., (1 994), Metal Removal in Wetland Treatment Systems, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, p. 80.

Eriksson, N., and Destouni, G., (1994), Modeling Field-Scale Transport of W e a t h e ~ g Products in Mining Waste Rock Durnps, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, p. 50.

Feasby, DG., Chambers, D.B., Scharcr, J.M., Pcttit, C.M., Dakers, RG., and Goldsworthy, M.H., (1994), International Pmpcfave on the Role of Acid Generation in Selecthg Decommissioning Techniques for Uranium Mining Sites in Eastern Germany, International Land Reclamation and Mine Drainage Conference and T h ~ d International Conference on the Abatement of Acidic Drainage Volume 2 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 068-94, p. 70.

Fisher, D.S., and Burns, R.G., (1990), W o t i t e Oxidation: Mechanisms of Acid Weathering, Geological Society of Arnerica Annual Meeting Program Abstracts 22, p. 207.

Freeze, R.A, and Cherry, LA., (1979), Groundwater, Englewood CliEs, New Jersey, Prentice-Hall, p. 604.

Gould, W.D., Bechard, G., and Lortie, L., (1994), The Nature and Role of Microorganisms in the Tiailings Environment, Mineralogical Association of Canada Short Course Handbook on the Environmental Geochemistry of Sulfide Mine-Wastes Vol. 22, Waterloo Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp. 185-198.

Hubbard, K.L., Darling, G.D., Rao, S.R, and Finch, J.A., (1994), New Functional Polyrners as Sorbants for the Selective Recovery of Toxic Heavy Metals fiom Acid Mine Drainage, International Land Reclarnation and Mine Drainage Conference and Third International Conference on the Abaternent of Acidic Drainage Volume 2 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 068-94, p. 273.

Itzkovitch, I.J., and Feasby, D.G., (1993), Le programme de neutralisation des eaux de drainage dans l'environnement minier, Colloque sur le progamme de neutralisation des eaux de drainage dans l'environnement minier, Val d'Or, NEDEM 93, pp. 1-1 6.

Jambor, J-L, (1994), Mineralogy of Sulfide-rich Tailings and Their Oxidation Products, M ineralogical Association of Canada Short Course Hand book on the Environmental Geochemistry of Sulfide Mine-Wastes Vol. 22, Waterloo Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp. 59-101.

Kleinmann, R.L.P., (1 979), The Biogeochemistry of Acid Mine Drainage and a Method to Control Acid Formation, Ph.D. thesis, P ~ c e t o n University, Princeton, New Jersey.

K r e g R., (1983), Symbols for Rock-forming Minerais, Arnerican Mineralogist, Volume 68, pp. 277-279.

Lee, K., and Fetter, C.W., (1994), Hydrogeology Laboratory Manual, Lab 4, Water Chemistry and Water Quality, Macmillan Publishing Company, pp. 29-30.

Lin, C.K., (1996), Modeling Acid Mine Drainage, Ph.D. thesis, The University of Utah, Department of Chernical and Fuels Engineering.

Mason, B., and Berry, L.G., (1968), Elements of Mineralogy, W.H. Freernan and Company, San Francisco, pp. 430-436.

Mills, A.L., (1985), Acid Mine Waste Drainage: Microbial Impact on the Recovery of Soi1 and Water Ecosystems, Soi1 Reclamation Processes, Marcel Dekker Inc. New York, Editors: R.L. Tate and D.A. Klein, pp.35-80.

Morin, KA., and Hutt, N.M., (I994), Observed Preferential Depletion of Neutralization Potential Over Sulfide Minerals in Kinetic Tests: Site Specific Criteria for Safe NP/AP Ratios, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, p. 148- 15 1.

Murdock, D.J., Fox, J.R., and Bensley, J.G., (1 994), Treatment of Acid Mine Drainage by the High Density Sludge Process, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abaternent of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, p. 241.

Nicholson, RV., (1 994), Imn-sulfide Oxidation Mechanisms: Laboratory Studies, Mineralogical Association of Canada Shon Course Handbaok on the Environmental Geochemistry of Sulfide Mine-Wastes Vol. 22, Waterloo Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp, 163-182.

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Nordstrom, D.K., (1982), Aqueous Pyrite Oxidation and the Consequent formation of Secondacy Iron Minerals, Acid Sulfate Weathering; Proceedings of a Symposium, SSSA-Special-Publication 10, pp. 3 7-56.

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Rao, S.R., Kuyucak, N., Sheremata, T., Leroux, M., Finch, J.A., and Wheeland, KG., (1994), Prospect of Metal RecoverylRecycle from Acid Mine Drainage, International Land Reclarnation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, p. 223.

Reed M.H., (1982), Calculation of Multicomponent Chernical Equilibria and Reaction Processes in Systems Involving Minerals, Gases and an Aqueous Phase, Geochimica et Cosmochimica Acta, 46, pp. 5 13-528.

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Reed, M.H., and Spycher, N.F., (1 998), Users Guide for CHiLLER: A Program for Computing Water-Rock Reactions, Boiling, Mixing and Other Reaction Processes in Aqueous-Mineral-Gas-Systems and Minplot Guide, Third Edition, Department of Geological Sciences, University of Oregon, Eugene Oregon USA, pp. 1 -70.

Rich, D.H., and Hutchinson, KR., (1994), Coal Refuse Disposal Using Engineering Design and Lime Chemistry, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 1 of 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 06A-94, pp. 392-395.

Ritchie, A.1 .M., (1 994a), The Waste-rock Environment, Mineralogical Association of Canada Short Course Handbook on the Environmental Geochemisûy of Sulfide Mine-Wastes Vol. 22, Waterloo Ontario May, 1994, Editors: J.L. Jambor and D.W. Blowes, pp. 133-16 1.

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Yanfül, E.K., Aube, B.C., Woyshner, M., and St-Arnaud, L.C., (1994), Field and laboratory Peiformance of Engineered Covers on the Waite Amulet Tailings, International Land Reclamation and Mine Drainage Conference and Third International Conference on the Abatement of Acidic Drainage Volume 2 o f 4: Mine Drainage, US Department of the Interior, Bureau of Mines Special Publication SP 068-94, p. 138.

APPENDICES

APPENDIX A

CHILLRUN files used to nui CHILLER

LIST OF FIGURES FOR APPENDIX A

Figure 1:

Figure 2:

Figure 3 :

Figure 4:

Figure 5:

Figure 6:

Figure 7:

Figure 8:

Figure 9:

Figure 10:

Figure 1 1 :

Chillm 1 .&t (Chillrun file for the reaction between 100 % pyrite and water with no atmospheric contact). ........................................... 1 10

Chillnui2.dat (Chillrun file for the reaction between 50 % pyrite + 50 % albite and water with no atmospheric contact). ................. .... 1 1 1

Chillrun3.dat (Chillnin file for the reaction between 50 % pyrite + 50 % anorrhite and water with no atmospheric contact) ................. 1 12

Chillm4.dat (Chillrun file for the reaction between 50 % pyrite + 50 % microdine and water with no atmospheric contact) .............. 1 13

Chillnui5.dat (Chillrun file for the reaction between 20 % pyrite + 80 % albite and water with no atmospheric contact). ..................... 1 14

Chillnrn6.dat (Chilhn file for the reaction between 20 % pyrite + 80 % anorthite and water with no atmospheric contact) ................. 1 15

Chillnur7.dat (Chillrun file for the reaction between 20 % pyrite + 80 % microcline and water with no atmospheric contact) .............. 1 16

Chillrun8.dat (Chillnin file for the reaction between 80 % pyrite + 20 % albite and water with no amiospheric contact). ..................... 1 17

Chillrun9.dat (Chilhn file for the reaction between 80 % pyrite + 20 % anorthite and water with no atmospheric contact) ................. 1 18

Chillrunl O.&t (Chillrun file for the reaction between 80 % pyrite + 20 % microcline and water with no atmospheric contact) .............. 1 19

Chillrunl 1-dat (Chillrun file for the reaction between 100 % pyrrhotite and water with no atmosphenc contact) ............................ 120

Figure 1: Chillrunl .dat (Chillnin file for the reaction between 100 % pyrite and water with no atmospheric contact).

Median p r e c i p i t a t i o n va lues of seven sites worldwide; hundreds o f ana lyses . P r e c i p i t a t i o n values(1kg H20) + pyrite;(9ppm 02 aq. @ 25 degrees C & 1 bar)

< erpc >< ph >< p f l u i d >< temp >< tempc ><volbox-l><rhofresh> . IOOOE-11 .O0000 L.00000 25.00000 .O0000 .O0000 .O0000

< s inc >< s l i m >< totmix > .10E-05 .10E-04 . O000

< enth >< senth >< denth >< totwat >< solmin >< rm >< aqgrm >< suprnt > .00000 .00000 .00000 .00000 .0000E+00 .00000 .00000 .1000E-10

----- c i f r a ipun nloo iste lims l o o c i e n t i t r e idea ipsa i n c r incp rnins neut

s a q > < n a m e > < 1 H+ 2 H20 3 C1- 4 S04-- 5 HC03- 7 S i02 9 Ca++

10 Mg++ Il Fe++ 1 2 K+ 13 N a + 31 0 2 aq.

< min > < mintry >

<nomox > < wtpc > pyrit-ox .1000E+03

mtor >< -3185000E-04 .9999834€+00 -3430500E-04 ,3122996E-04 ,3277614s-04 .16644473-05 -2245509E-04 .8226390E-05 .0000000E-05 .1022966E-04 -2609853E-04 -2812500E-03

mtry ><gamma > -3162278E-05 1.0000 .1000000E+01 1.0000 .1000000E-03 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 -1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .0000000E-18 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000

<supnam> FC02-3.0 FC02-3.5 FO2-O. 7 hematite

Figure 2: Chillnin2.dat (Chillm file for the reaction between 50 % pyrite + 50 % albite and water with no atmospheric contact).

Median p r e c i p i t a t i o n values of seven sites uorldwide; hundreds of a n a l y s e s . P r e c i p i t a t i o n values(1kg H20) + p y r i t e c a l b i t e , (1:1);(9ppm 02 @2SC & lbar)

< erpc >< ph >< p f l u i d >< temp >< tempc ><volbox-l><rhofresh> ,1000E-11 .ooooo 1.00000 25.00000 .O0000 .O0000 .O0000

< s i n c >< s l i m >< totmix > .10E-05 .10E-04 ,0000

< enth >< senth >< den th >< to twat >< soimin >< rm >< aqgrm >< s u p r n t > .00000 .00000 .00000 .00000 .0000E+00 .00000 ,00000 .1000E-IO

----- c i f r a ipun nloo i s te lims looc i e n t i t r e idea ipsa i n c r incp mins neu t

saq> < name > < 1 H+ 2 HZ0 3 C1- 4 S04-- 5 HC03- 7 Si02 8 Al+++ 9 Ca++ 10 Mg++ 11 Fe++ 12 K+ 13 Na+ 31 05 aq.

< m i n > < mintry >

<nomox > < wtpc > pyrit-ox .5000E+02 a l b i t e .5000E+02

m t o t >< mtry >c .3185000E-04 ,3162278E-05 .9999834E+00 .1000000E+01 -3430500E-04 .lOOOOOOE-03 -3122996E-04 .1000000E-06 -3277614E-04 .1000000E-06 -1664447E-05 .IOOOOOOE-06 .0000000E-05 . 1000OOOE-12 -2245509E-04 .1000000E-06 -8226390E-05 .1000000E-06 .0000000E-OS .0000000E-18 -1022966E-04 .1000000E-06 -2609853E-04 .IOOOOOOE-06 .2812500E-03 .lOOOOOOE-06

<supnam> FC02 -3. O FC02-3.5 F02-O. 7 hematite

Figure 3: ChilIrun3 .dat (Chililun file for the reaction between 50 YO pyrite + 50 % anorthite and water with no atmospheric contact). Median p r e c i p i t a t i o n values o f seven sites worldwide; hundreds of a n a l y s e s .

P r e c i p i t a t i o n v a l u e s ( l k g HSO) + p y r i t e s a n o r t h i t e , (1: 1) ; (9ppm 02 @2SC 6 lbar)

< erpc >< ph >< p f l u i d >< temp >< ternpc ><volbox-l><rhofresh> -1000E-11 .O0000 1.00000 25.00000 .O0000 .O0000 .O0000

c s i n c >c slim >< totmix > .10E-05 .10E-04 . O000

< e n t h >< senth >C d e n t h >< t o t w a t >< solmin >< rm >C aqgrm >< s u p r n t > .O0000 .00000 .00000 .00000 .0000E+00 .00000 .00000 -1000E-10

----- c i f r a ipun nloo iste lims l o o c ient i t r e i d e a i p s a i n c r i n c p mins n e u t O 3 O O 70 O 1 O O O O 1 O O 1 O

< min > < mint ry > <nomox > < wtpc > pyr i t -ox .5000E+02 a n o r t h i t .5000E+02

csupnam> FC02-3.0 fC02-3.5 f02-0.7 hernati te l awson i t a n d r a d i t grossula pumpelly p r e h n i t e c l i n o z o i epid-ord vesuvian z o i s i t e w o l l a s t o woll-psd t i l l e y i t epido-Fe ran k i n i t d i o p s ide hedenber s p u r r i t e p o r t l a n d l a r n i t e g e h l e n i t merwinit

mtot >< mtry ><gamma > .3185000E-04 -3162278E-05 1.0000 .9999834E+00 .1000000E+01 1.0000 .3430500E-04 .1000000E-03 1.0000 .3122996E-04 .1000000E-06 1.0000 ,3277614B-04 .1000000E-06 1 .O000 .1664447E-05 .1000000E-06 1.0000 .0000000E-05 .1000000E-12 1.0000 .2245509E-04 .1000000E-06 1.0000 -8226390E-05 ,1000000E-06 1.0000 .0000000E-05 .0000000E-18 1.0000 -1022966E-04 .1OOOOOOE-06 1.0000 .2609853E-04 .1000000E-06 1.0000 .2812500E-03 .lOOOOOOE-06 1.0000

< comtot > .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000€+00 *0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00

Figum 4: Chi lh4 .dat (Chillm file for the rcaction between 50 % pyrite + 50 % microcline and water with no atmosphcric contact).

Median precipitation values of seven sites worldwide; hundreds of analyses. Precipitation values (lkg HZO) + pyriteCK-feldspar, (1: 1) ; (9ppm 02 @25C & lbar)

< erpc >< ph >< pfluid >< temp >< tempc ><volbox-l><rhofresh> -1000E-11 .O0000 1.00000 25.00000 .O0000 .O0000 .00000

< enth >< senth >< denth >< totwat >< solmin >c rm >< aqgrm >< suprnt > .00000 .00000 .00000 .00000 .0000E+00 .00000 .00000 -1000E-10

----- c ifra ipun nloo iste lims looc O 3 O O 70 O I O

saq> < name 1 H+ 2 H20 3 C1- 4 S04-- 5 HC03- 7 Si02 8 Al+++ 9 Ca++ 10 Mg++ 11 Fe++ 12 K+ 13 Na+ 31 02 aq.

> c mtot >< .318SOOOE-04 .9999834E+00 -3430500E-04 -3122996E-04 ,3277614E-04 -1664447L-O5 .0000000E-05 -2245509E-04 -8226390E-05 .0000000E-05 -1022966E-04 -2609853E-04 -2812500E-03

< min > < mintry >

<nomox > < wtpc > pyrit-ox .5000E+02 nicrocli . SOOOE+OZ

ient itre idea ipsa incr incp mins neut O O O 1 O O I O

mtry ><gamma > .3162278E-05 1.0000 .1000000E+01 1.0000 .1000000E-03 1,0000 .1000000E-06 1.0000 .1000000E-06 1.0000 ,1000000E-06 1.0000 .1000000E-12 1.0000 .1000000E-06 1.0000 .100G000E-06 1.0000 .0000000E-18 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000

< comtot > .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 - 0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00

<supnam> FC02-3.0 FC02-3.5 F02-0.7 hematite celad-Fe

Figure 5: Chilirun5.dat (Chillrun file for the reaction bctween 20 % pyrite + 80 % aibite and water with no atmospheric contact).

Median precipitation values of seven sites worldwide; hundreds of analyses. Precipitation values(1kg H20) + pyritecalbite,(l:4);(9ppm 02 @25C 6 lbar)

< erpc >< ph >< pfluid >< temp >< tempc ><volbox-l><rhofresh> -1000E-11 .O0000 1.00000 25.00000 .O0000 - O0000 .O0000

< s i n c >< slim >< totmix > . IOE-05 -10E-04 . O000

< enth >< senth >< denth >< totwat >< soimin >< rm >< aqgrm >< suprnt >

----- c i f ra ipun nloo iste lims looc O 3 O O 70 O 1 O

saq> < name > 1 H+ 2 HZ0 3 C1- 4 S04-- 5 HC03- 7 Si02 8 Al+++ 9 Ca++ 10 Mg++ 11 Fe++ 12 K+ 13 Na+ 31 02 aq.

c mtot >< .3185000E-04 .9999834&+00 -3430500E-04 -3122996E-04 -3277614E-04 ,1664447E-05 .0000000E-05 -2245509E-04 ,822639OE-O5 .0000000E-05 -1022966E-04 -2609853E-04 -2812500E-03

< min > < mintry >

<nomox > < wtpc > pyrit-ox .2000E+02 albite .8000E+02

.0000E+00 .00000 .00000 .1000E-10

ient itre idea ipsa incr incp mins neut

mtry ><gamma > .3162278E-05 1.0000 .1000000E+01 1.0000 .1000000E-03 1.0000 .1000000E-06 1.0000 .1000000&-06 1.0000 .1000000E-06 1.0000 .1000000E-12 1.0000 .1000000E-06 1.0000 ,1000000E-06 1.0000 .0000000E-18 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000

O O 1 O

< corntot > .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00

<supnam> FC02-3. O FC02-3.5 F02-0.7 hematite staur-Mg

Figure 6: Chilirun6.d.t (Chillrun file for the M a i o n between 20 % pyrite + 80 % anorthite and water with no atmospheric contact). Hedian precipitation values of seven sites worldwide; hundreds of analyses. Precipitation values(1kg H20) + pyriteCanorthite, (1:4);(9ppm 02 @25C 6 lbar) < erpc >< ph >< pfluid >< temp >< tempc ><volbox-l><rhofresh> -1000E-11 .ooooo ~.ooooo 25.00000 .ooooo .O0000 .00000

< sinc >< slim >< totmix > .10E-05 -10E-04 .O000

< enth >< senth >< denth >< totwat >c solmin >< rm >< aqgrm >< suprnt >

----- c ifra ipun nloo iste lims looc O 3 O O 70 O I O

soq> < narne > < 1 H+ 2 H20 3 Cl- 4 S04-- 5 HC03- 7 Si02 8 al+++ 9 Ca++ 10 Mg++ 11 Fe++ 12 K+ 13 Na+ 31 02 aq.

< min > < mintry > <nomox > < w t p c > pyrit-ox .2000E+02 anorthit .8000E+02

<supriano FCO2-3.0 FCO2-3.5 FOS-0.7 hernatite lawsonit andradit grossula pumpelly prehnite clinozoi epid-ord vesuvian toisite wollasto woll-psd tilleyit epido-Fe rankinit diopside hedenber spurrite portland larnite gehlenit merwinit staur-Mg

mtot >< -3185000E-04 -9999834E+OO .343OSOOE-O4 -3122996E-04 -3277614E-04 -1664447E-05 ~0000000E-O5 -22455093-04 ,8226390E-OS .0000000E-05 -1022966E-04 .2609853E-04 -2812500E-03

.0000E+00 .00000 .00000 .1000E-10

ient itre idea ipsa incr incp mins neut O O O 1 O O 1 O

mt ry ><gamma > < comtot > -3162278E-OS 1.0000 .0000E+00 .1000000E+01 1.0000 .0000E+00 .1000000E-03 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 ,1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .IOOOOOOE-12 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000&+00 .0000000E-18 1.0000 .0000&+00 .1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00

Figure 7: Chillrun7.dat (Chillrun file for the reaction between 20 % pyrite + 80 % microche and water with no atmospheric contact).

Hedian p r e c i p i t a t i o n v a l u e s o f s even sites worldwide; hundreds o f a n a l y s e s . P r e c i p i t a t i o n v a l u e s ( l k g H20) + pyr i t e6K- fe ldspa r , (1: 4 ) ; (9ppm 02 @25C 6 l b a r )

< erpc >< ph >< p f l u i d >< t e m p >< tempc ><volbox- l><rhofresh> -1000E-11 .O0000 1.00000 25.00000 .O0000 .O0000 .O0000

< s i n e >< s l i m >< t o t m i x > .10E-05 .10E-04 . 0000

C e n t h >< s e n t h >< d e n t h >< t o t w a t >< solrnin > c rm >< aqgrm >< s u p r n t > .00000 .00000 .00000 .00000 .0000E+00 .00000 .00000 .1000E-10

----- c i f r a ipun n l o o i s t e l i m s l o o c O 3 O O 70 O 1 O

saq> < name 1 CI+ 2 H2O 3 C1- 4 S04-- 5 HC03- 7 Si02 8 Al+++ 9 Ca++

10 Mg++ I I Fe++ 12 K+ 13 Na+ 31 02 aq.

> < mto t >< -3185000E-04 .9999834€+00 -3430500E-04 -3122996E-04 -3277614E-04 -1664447E-05 .0000000E-OS -2245509E-04 -8226390E-05 .0000000E-OS -1022966E-04 -2609853E-04 .2812500E-03

< min > < minrry >

<nomox > < wtpc > p y r i t - o x .2000E+02 m i c r o c l i .8000E+02

i e n t i t re i d e a i p s a i n c r i n c p mins n e u t O O O I O O I O

mtry >< -3162278E-05 .1000000E+01 .1000000E-03 .1000000E-06 .1000000E-06 .1000000E-06 .1000000E-12 .1000000E-06 .1000000E-06 .0000000E-18 .1000000E-06 .1000000E-06 .1000000E-06

< corntot > .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 - 0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00

<supnam> FCO2-3. O FC02-3.5 F02-O. 7 hematite celad-Fe staur-Mg

Figure 8: Chillnin8.dat (Chillnin file for the d o n between 80 % pyrite + 20 % albite and water with no amiospheric contact).

Median p r e c i p i t a t i o n va lues o f seven sites worldwide; hundrecis of a n a l y s e s . P r e c i p i t a t i o n values (lkg H20) + p y r i t e l a l b i t e , (4 : 1) ; (9ppm 02 e25C 6 lbar)

< erpc >< ph >< pf lu id >< temp >< tempc ><volbox-l>Crhofresh> .1000E-11 -00000 1.00000 25.00000 .O0000 .00000 .00000

< s i n c >< s l i m >< totmix > .1OE-05 .10E-04 .O000

< enth >< senth >< denth >< t o t w a t >< solmin >< rm >< aqgrm >< suprnt > .00000 .00000 .00000 .00000 .0000E+00 .00000 .00000 .lOOOE-10

----- c ifra ipun nloo iste lims looc i e n t i tre idea ipsa incr incp mins neut O 3 O O 70 O 1 O O O O 1 O O 1 O

saq> < name > < 1 H+ 2 H20 3 Cl- 4 S04-- 5 HC03- 7 Si02 8 Al+++ 9 Ca++ 10 Mg++ Il Fe++ 12 K+ 13 Na+ 31 02 aq.

< m i n > < rnintry >

<nomox > < wtpc > pyrit-ox .8000E+02 a l b i t e - 2000E+02

mto t >< mtry ><gairima > -3185000E-04 .3162278E-05 1.0000 .9999834E+OO .1000000E+Ol 1.0000 .3430500E-04 .1000000E-03 1.0000 .3122996E-04 .1000000E-06 1.0000 -3277614E-04 .1000000E-06 1.0000 -1664447E-05 .1000000E-06 1.0000 .0000000E-05 .1000000E-12 1.0000 -2245509E-04 .1000OOOE-06 1.0000 .8226390E-05 .1000000E-06 1.0000 .0000000E-05 .0000000E-18 1.0000 .1022966E-04 .1000000E-06 1.0000 ,2609853E-04 .1000000E-06 1.0000 -2812500E-03 .1000000E-06 1.0000

< comtot > .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000€+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00 .0000E+00

<supnarn> FC02-3.0 FC02-3.5 F02-O. 7 hematite

Figure 9: Chilh9.dat (Chillm file for the reaction between 80 % pyrite + 20 % anorthite and water with no atmosphcric contact). Median p r e c i p i t a t i o n values of seven sites worldwide; hundreds o f ana lyses . P r e c i p i t a t i o n v a l u e s ( l k g H20) + p y r i t e i a n o r t h i t e , (4 : 1) ; (9ppm 02 @ 2 5 C & Iba r )

< erpc >< ph >< pf lu id >< temp >< tempc X v o l b o x - l > < r h o f r e s h > -1000E-11 .O0000 1.00000 25.00000 .O0000 .O0000 .O0000

< s i n c >< s l im >< totmix > .10E-OS .10E-04 . O000

< enth >< sen th >< denth >< t o twa t >< solmin >< rm >< aqgrm >< sup rn t > .00000 .00000 .00000 .00000 .0000E+00 .00000 .00000 - 1000E-10

----- c i f r a ipun nloo i s te i i m s looc ient i t r e idea i p s a i n c r i ncp mins neut

saq> < name > < 1 H+ 2 H20 3 C l - 4 S04-- 5 HC03- 7 Si02 8 Al+++ 9 Ca++

1 0 Mg++ 11 Fe++ 12 K+ 13 Na+ 31 02 aq.

C min > < mintry >

<nomox > < wtpc > pyri t -ox .8000E+02 a n o r t h i t .2000E+02

<supnam> FC02-3.0 FC02-3.5 F02-O. 7 hemotite lawsoni t andradi t grossu la pumpelly prehni re c l i nozo i epid-ord vesuvian z o i s i t e wol las to woll-psd t i l l e y i t epido-Fe r a n k i n i t d iopside hedenber s p u r r i te por t land l a r n i t e geh l en i t merwinit

<dont fr>

mtot >< .3185000E-04 .9999834E+OO ,3430500E-04 -3122996E-04 -3277614E-04 -1664447E-05 .0000000E-05 .2245509E-04 .8226390E-05 .0000000E-05 -1022966E-04 -2609853E-04 .2812500E-03

O O 1 O

< comtot > .0000E+00 .0000E+00 .0000E+OO .0000E+00 .0000E+00 .0000E+00 * 0000€+00 .0000E+00 .0000E+00 .0000E+00 * 0000E+00 .0000E+00 .0000E+00

Figure 10: ChillnmlO.dat (Chillm fik for the reaction bawcen 80 % pyrite + 20 % microcline and watcr with no atmosphcric contact).

Median precipitation values of seven sites worldwide; hundreds of analyses. Precipitation values(1kg H20) + pyritecl(-feldspar, (4:1);(9ppm 02 e25C & lbar)

< erpc >< ph >< pfluid >< temp >< tempc ><volbox-l><rhofresh> -1000E-11 .O0000 1.00000 25.00000 .O0000 .O0000 .O0000

< s inc >< slim >< totmix > -10E-05 .10E-04 .O000

----- c ifra ipun nloo iste lims looc O 3 O O 70 O 1 O

c name H+ HZ0 C1- S04-- HC03- Si02 Al+++ Ca++ Mg++ Fe++ K+ Na+ 02 aq.

> < mtot >< .3185000€-04 .9999834E+OO -3430500E-04 .3122996E-04 .3277614E-04 -1664447E-05 .0000000E-05 -2245509E-04 -8226390E-05 .00000GOE-05 -1022966E-04 -26098533-04 -2812500E-03

<nomox > < wtpc > pyrit-ox .8000E+02 microcli .2000E+02

.0000E+00 .O0000 -00000 -1000E-IO

ient itre idea ipsa incr incp rnins neut

mtry xgarmna > .3162278E-O5 1.0000 .1000000Et01 1.0000 .1000000E-03 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-12 1.0000 .1000000&-06 1.0000 .1000000E-06 1.0000 .0000000E-18 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000 .1000000E-06 1.0000

Cs upnam> FC02-3.0 FC02-3.5 F02-0.7 hematite celad-Fe

Figure 1 1 : Chillm 1 1 .dat (Chillrun file for the reaction between 1 00 % -0th and water with no atmospheric contact).

Median p r e c i p i t a t i o n va lues o f seven sites worldwide; hundreds of analyses. P r e c i p i t a t i o n values(1kg H20) + pyrrhotite;(9ppm 02aq- @25 degreesc 6 1 bar)

c erpc >< ph >< p f l u i d >< temp >< tempc ><volbox-l><rhofresh> . IOOOE-11 .O0000 1.00000 25.00000 -00000 .O0000 .O0000

< s i n c >< s l i m >< totmix > .10E-05 .10E-04 .O000

< enth >< senth >< denth >< totwat >< solmin >< nn >< aqgm >< suprnt > .00000 *00000 .00000 .00000 .0000E+00 .00000 ,00000 .1000E-10

----- c i f r a ipun nloo iste lims l o o c i e n t i t r e idea ipsa i n c r incp mins neut O 3 O O 70 O 1 O O O O 1 O O 1 O

< nme > H+ H20 C1- S04-- HC03- S i 0 2 Ca++ Mg++ Fe++ K+ Na+ 02 aq.

< mtot >< r n t ry ><gamma > .3185000E-04 -3162278E-05 1.0000 .9999834E+00 .1000000E+01 1.0000 .3430500E-04 .1000000E-03 1.0000 -3122996E-04 .1000000E-06 1.0000 -3277614E-04 .1000000E-06 1.0000 .1664447E-05 .1000000E-06 1.0000 -2245509E-O4 .1000000E-06 1.0000 -8226390E-05 .1000000E-06 1.0000 .0000000E-05 .0000000E-18 1.0000 -1022966E-04 .1000000E-06 1.0000 .2609853E-04 .1000000E-G6 1.0000 -2812500E-03 .1000000E-06 1.0000

c min > < mintry >

<nomox > < wtpc > pyrrhot i . lOOOE+O3 csupnam> FC02-3 .O FCOS-3.5 F02-O. 7 hematite c l c l - A l f a n t i g o r i

APPENDIX B SiNC and SLIM values for the CHILLRUN files in Appendix A

(Included are the hcrement (SïNC) and comsponding pH values sampled)

LIST OF FIGURES FOR APPENDIX B

Figure 1 :

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Figure 7:

Figure 8:

Figure 9:

Figure 10:

Figure 1 1 :

SINC and SLIM values for Chillnuil.dat (Reaction between 100 % pyrite and water with no atrnospheric contact). ............................. 123

SINC and SLIM values for Chilirun2-dat (Reaction between 50 % pyrite + 50 % albite and water with no atmospheric contact). ...... 124

SINC and SLIM values for Chillnin3.dat (Reaction between 50 % pyrite + 50 % anorthite and water with no atmospheric contact). . . . . . . . . .. .. . . . . . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . - . . . . 1 25

SMC and SLIM values for Chillrun4-dat (Reaction between 50 % pyrite + 50 % microcline and water with no atmospheric contact). .......... ........ ..... . . . .. .. . .. ..................-. . . . . . . . . . . 1 26

SINC and SLIM values for ChillninS-dat (Reaction between 20 % pyrite + 80 % albite and water with no atmospheric contact). ...... 127

SINC and SLIM values for Chillrun6.dat (Reaction between 20 % pyrite + 80 % anorthite and water with no atmospheric contact). ..............................................-...--.......-..............-......-........... 128

SINC and SLIM values for Chillrun7.dat (Reaction between 20 % pyrite + 80 % microcline and water with no atrnospheric contact). ...................... .. ........... ..... ..................................................... 129

SINC and SLIM values for Chillnin8.dat (Reaction between 80 % pyrite + 20 % albite and water with no atmospheric contact). ...... 1 30

SiNC and SLIM values for Chi lh9.dat (Reaction between 80 % pyrite + 20 % anorthite and water with no atmospheric contact). ......................................... ........................................ 1 3 1

SINC and SLIM values for ChillrunlO.dat (Reaction between 80 % pyrite + 20 % microcline and water with no atmospheric contact). ........................................................................................ 132

SiNC and SLIM values for Chillrunll.dat (Reaction between 100 % pyrrhotite and water with no atmospheric contact). ............... 133

Figure 1: SINC and SLIM values for Chillrunl .&t ( R d o n between LOO ./O pyrite and water with no atmospheric contact).

SINC O.IXIO-~ 0.1~10~ 0.1~10-~ 0.1~10" 0.1x10-' O. 1 1 .O 10 1 O0 Io00

Figure 2: S M C and SLIM values for Chillnin2.dat (Reaction between 50 % pyrite + 50 % albite and water with no atmospheric contact).

SLIM 0.1~10~ 0.1~10-~ 0.1x10-~ 0.1~10-' 0.22 1 .O IO 100 I o 0 0 IOOOO

Figu n 3: SMC and SLIM values for Chillrun3 .dat (Reaction ôetwecn 50 % pyrite + 50 % anorthite and water with no atmosphcric contact).

SLIM 0 . 1 ~ 1 0 ~ 0.1~10-~ 0.1x10-~ 0.1~10" o. 1 0.22 1 .O 10 100 Io00 lm

Figure 4: SMC and SLIM values for Chillrun4.dat (Reaction between 50 % pyrite + 50 % microcline and water with no amiosphcric contact).

SLIM 0 . 1 ~ 1 0 ~ 0.1~10-~ O. 1 x 10'~ 0.1x10-' 0.2 1 .O 10 100 Io00 1OOOO

Figure 5: SINC and SLM values for ChilhS.dat (Reaction between 20 % pyrite + 80 % albite and water with no atmosphcric contact).

SLIM - 0 . 1 ~ 1 0 ~ 0.1~10'~ 0 .1~10 '~ 0.1~10" 0.4x 1 O" O. 1 021 1 .O 10 100 1000 IOOOO

Figure 6: SNC and SLIM values for Chillnui6.dat (Reaction between 20 % pyrite + 80 96 anorthite and water widi no atmosphcric contact).

SLIM - 0.1~10' O.IXIO-~ 0.1x10-~ 0.1~10" 0.44~ 1 0" 0.47~ 1 0" 0 .65~ 10'' 0.66~ 1 0" 0.1 0.14 1 .O 10 100 Io00 1OOOO

Figure 7: SINC and SLIM values for Chillrun7.&t ( R d o n between 20 % pyrite + 80 % microdine and water with no atrnospheric contact).

SINC 0.1~10-~ 0 . 1 ~ 1 0 ~ 0 .1~10-~ 0.1x10-~ OSX 1 O" 0.1x10-~ 0.1 1 .O 10 1 00 Io00

SLIM - 0 . 1 ~ 1 0 ~ 0.1~10-~ 0.1x10-~ 0.1~10" 0.1 0.2 1 1 .O 10 100 1000 1 m

Figure 8: SINC and SLiM values for Chillnui8.dat (Reaction betwecn 80 % pyrite + 20 % albite and water with no atmospheric contact).

Figure 9: SiNC and SLIM values for Chilh9.dat (Reaction between 80 % pyrite + 20 % anorthite and water with no atmosphcric contact).

SLIM - 0 . 1 ~ 1 0 ~ o. 1x10~~ 0.1x10-~ 0.1x10-' 0.14~10-' o. 1 0.25 1 .O 1 O 100 Io00 1OOOO

Figure 10: SMC and SLIM vaiues for ChilirunlO.dat (Reaction between 80 YO pyrite + 20 % microdine and water with no atmospheric contact).

SLIM 0 . 1 ~ 1 0 ~ 0.1~10-~ 0.1x10-~ O. 1x10" 0.1 0.25 1 .O 10 100 lm Loo00

Figure 1 1 : SINC and SLIM values for Chilirun l 1 .dat (Reaction between 100 % pyrrhotite and water with no atmospheric contact).

SINC 0.lxl0'~ 0.1~10~ 0.1~10" 0.1~10'~ 0.1x10-~ 0.1~10-~ 0.1~10~ O. 1 1 .O 10 100 Io00 10

APPENDIX C 1 :4 and 4: 1 (Pynte:Feldspar (Ab, An and Mc)) Graphs

LIST OF FIGURES FOR APPENDIX C

Figure 1: Reaction of 20 % pyrite and 80 ./O albite .......................................... 136

Figure 2: Reaction of 20 YO pyrite and 80 % anorthite ...................................... 138

Figure 3 : Reaction of 20 % pyrite and 80 % microdine ................................... 140

Figure 4: Reaction of 80 96 pyrite and 20 % albite .......................................... 142

Figure 5: Reactioa of 80 % pyrite and 20 ./o anorthite ...................................... 144

Figure 6: Reaction of 80 96 pyrite and 20 % microcline ................................... 146

Figure 1. Reaction of 20 % pyrite and 80 % albite (Appendix A, Figure 5) with water (Table 2) at 25 OC and no atmospheric contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the principal component species (Le. ZAI)' represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly fiom the Log total aq molality and Log molality axes o f B and C respectively.

.-

-30 -- a:. -

-40 -

-- - .---u -.

Figure

Figure 2. Reaction of 20 % pyrite and 80 % anorthite (Appendix A, Figure 6) with water (Table 2) at 25 OC and no atmospheric contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerais formed in log moles. (B) pH and log total aqueous molality of the principal component species (i.e. ZAI~' represents the total o f al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly fiom the Log total aq molality and Log molality axes of B and C respectively.

-. -- - - - -- - -

Finure 2. (Continued)

Figure 3. Reaction of 20 % pyrite and 80 % microcline (Appendix A, Figure 7) with water (Table 2) at 25 OC and no aûnospheric contact. Mineral abbreviations c m be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) FH and log total aqueous molality of the principal component species (i.e. ZAP' represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH c m be read directly from the Log total aq molality and Log molality axes of B and C respectively.

Figure 4. Reaction of 80 % pyrite and 20 % albite (Appendix A, Figure 8) with water (Table 2) at 25 O C and no amosphenc contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the principal component species (i.e. LA?+ represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH cm be read directly fiorn the Log total aq molality and Log molality axes of B and C respectively.

142

Figure 4. (Continued)

- - -- - -

Figure 5. Reaction of 80 % pyrite and 20 % anorthite (Appendix A, Figure 9) with water (Table 2) at 25 O C and no atrnospheric contact. Mineral abbreviations can be found in the 'List of Abbreviations'. (A) Minerals fonned in log moles. (B) pH and log total aqueous molality of the principal component species (i.e. ZAI" represents the total of al1 aqueous Al species). (C) Selected individual aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly fkom the Log total aq molality and Log molality axes of B and C respectively.

5 4 3 Log w/r

Figure 6. Reaction of 80 % pyrite and 20 % microdine (Appendix A, Figure 10) with water (Table 2) at 25 OC and no atmospheric contact. Mineral abbreviations c m be found in the 'List of Abbreviations'. (A) Minerals formed in log moles. (B) pH and log total aqueous molality of the principal component species (i.e. Z A ~ ~ ' represents the total of al1 aqueous Al species). (C) Selected individuai aqueous species in log molality (not log total aqueous molality). (D) Shows graph (C) in its' entirety. pH can be read directly from the Log total aq molality and Log molality axes of B and C respectively.

- - - - - - - - -- - - -- - - --y - - - -- - - - .- -. - - -- -- - - - .- - - - -. - - -- - - - - -

Figure 6. (Conthued)

APPENDIX D Key Components of SOLRUN

Key Components of SOLRUN

The key components of SOLRUN that best defme how SOLVEQ was used for

this study are highlighted (SOLD CAPS) in Figure 1 . This sample SOLRUN file is

followed by brief descriptions of the key components (Spycher and Reed, 1998). Al1

other components are either non-essential default values or they are not applicable to

these reactions.

Rainwater ( l k g ) with 9ppm 0 2 ; pH = 5.5 Data from Freeze and Cherry, 1979.

< eprc >< PH >< unac ><alkaln><TEMPC >< mi ><pr - min> .100E-11.550E+01,000E+OO.OOOE+00,25OE+O2,OOE+OO

ctem nmtt ipri ichb NIXX) C nsun igeo itre neut O O O O 1 40 3 O O O O

SAQ> < NAME 1 H+ 2 H2O 3 C1- 4 S04-- 5 HC03- 7 Si02 9 Ca++

f O Mg++ 12 K+ 13 Na+ 31 02 aq.

> < MTOT >< MTRY >< gamma > .0000000E+00 -3162278E-05 1,0000 .99998343+00 ,1000000E+01 1.0000 ,1128254E-04 .1000000E-03 1.0000 -3122996E-04 .1000000E-06 1.0000 -3277614E-04 .1000000E-06 1.0000 -1664447E-05 .1000000E-06 1,0000 .2245509E-04 .1000000E-06 1.0000 -8226390E-05 .1000000E-06 1.0000 .1022966E-04 .1000000E-06 1.0000 ,26098533-04 ,1000000E-06 1.0000 .2812500E-03 .1000000E-06 1.0000

Figure 1. SOLRUN file - this file computes the MTOT of H' @H=5.5) for rainwater (key components in BOLD CAPS), precipitation constituents fiom Freeze and Cheny, 1979.

PH - If PH is given, the total molar mount of is calculated. If PH = zero,

the pH is calculated h m the amount of H' provided.

TEMPC

TEMPC = the temperature (in OC ) of the system at which equilibrium is

calculated.

NLOOP or NLOO

(NLOOP = "nurnber of loops"). NLOOP is the maximum number of

Newton-Raphson iterations that SOLVEQ will use to converge the solution. If

convergence is not reached afier NLOOP iterations, the program ceases and non-

convergence is assumed. NLOOP is normally set to 40 and it is generally

accepted that if a case is not solved within 70 iterations, it will not converge.

C - (C = "charge" balance). The numerical value for C corresponds to the

selected ion fiom the component species in solution that is used for charge

balancing. The total molality of this ion is adjusted if a charge imbalance occurs

within the solution.

SAO

(SAQ = "sequence, aqueous"). The numeric values for SAQ are preset

and correspond to specific component species (from the xquence of component

species) within the SOLTHERM data file. SAQ tells SOLVEQ the positions of

the component species, required for the calculations, within SOLTHERM.

NAME

The names of the selected component species identified by SAQ are listed

under NAME. These names only serve as a visual aid for the reader as he/she

reads the SOLRUN data file.

MTOT

(MTOT = "moles, total"). MTOT represents the totai number of moles for

the component species within the SOLRUN file and defrnes the overall chernical

composition of the system. MTOT for water is designated as the amount of water

(in kilograms) within the system.

MTRY

(MTRY = "molality trial" value). MTRY contains the estimated trial

molalities for the component species. Default MTRY values are 1 x10-'~. As

SOLVEQ is used to calculate the actual (unknown) molalities, the closer the

preliminary MTRY values are to the actual molalities the better are the chances

for convergence. The MTRY value for water is in kilograms and is preset by

SOLVEQ to 1 kg.

APPENDIX E Key Components of CKILLRUN

Key Componcnts o f CKiLLRUN

The key components of CHILLRüN that best defuie how CHILLER was used for

this study are highlighted (BOLD CAPS) in Figure 1 . This sample CHILLRUN file is

followed by brief descriptions o f the key components (Reed and Spycher, 1998). Al1

other components are either non-essential default values or they are not applicable to

these water-rock titration reactions.

Yedian p r e c i p i t a t i o n values o f seven sites worldwide; hundreds of a n a l y s e s . e r e c i p i t a t i o n v a l u e s ( l k g H201 + p y r i t e ; (9ppm 02 aq. @ 25 degrees C 6 1 bar)

< erpc >< PB >< P m >< 'PDCP >< tempc ><volbox-l>Crhofresh> .1000E-11 .O0000 1.00000 25.00000 .O0000 .O0000 .O0000

c SINC >< SLIX >< m > .10E-OS . IOE-04 .O000

< enth >< s e n t h >< d e n t h >< t o t w a t >< so lmin >< rm >< a q g m >< suprnt > .00000 00000

---- C i f r a ipun WUX)

O 3 O O 70

S A Q > < t m B œ > < 1 H+ 2 H20 3 C1- 4 SO4-- 5 HC03- 7 Si02 9 Co++

10 Mg++ 11 Fe++ 12 K+ 13 Na+ 3 1 0 2 aq.

< M m > < - >

C N O 1 O I > < WTPC > pyr i t -ox . lOOOE+O3

~~ FC02-3.0 FC02-3.5 F02-O. 7 hemat i t e

Cdontf r>

i s t e lims looc O 1 O

>< -3185000E-04 .9999834E+00 .3430500E-04 -3122996E-04 -3277614E-04 -1664447E-05 -22455093-04 -8226390E-OS .0000000E-05 ,1022966E-04 -2609853E-04 -2812500E-03

i e n t i t r e i d e a ipsa i n c r i n c p XIHS n e u t O O O 1 O O 1 O

W m Y ><gamma > c comtot > .3162278E-05 1,0000 .0000E+00 .1000000E+01 1.0000 .0000E+00 .1000000E-03 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .lOOOOOOE-06 1,0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .0000000E-18 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 .1000000E-06 1.0000 .0000E+00 -1OOOOOOE-06 1.0000 .0000E+00

Figure 1, CHILLRUN file - this file illustrates the rock titration (MINSOL = 1 ) capabilities of CHILLER. Pyrite is titrated into the aqueous phase at a rate of 0.1~1 O-' g (SiNC) until the value of SLIM ( 0 . 1 ~ 1 0 ~ g) is reached at which point program CHILLER stops (key components in BOLD CAPS).

PH - If PH is zero, the system pH is calculated h m the H+ ions in solution, and

is allowed to fluctuate with changes in fluid chemisûy. If PH is non-zero (1-14),

the pH remains fixed at that value during the m.

PFLUU)

Pressure of the system in bars.

TEMP

Temperature of the system in O C .

SINC - (SMC = "step increment"). SMC represents the incremental quantity of

reactant to be titrated into the aqueous phase. For modeling rock titration

reactions (MINSOL = l), SlNC is input as the arnount of reactant in grarns. For

each subsequent CHILLRUN file SMC is typically increased by a factor of ten.

SLIM - (SLIM = "step limit"). SLIM represents the total quantity of reactant that

can be titrated into the aqueous phase for that specific CHILLRUN file. Once

SiNC = SLIM program CHILLER stops and a new value for SLIM most be input

into the succeeding CHILLRUN file in order for CHILLER to m. For each

subsequent CHILLRUN file SLIM is also typically increased by a factor of ten.

TOTMIX

(TOTMIX = 'total mixture"). For rnodeling rock titration teactions

(MINSOL = L), TOTMIX represents the total amount of teactant added to the

solution, in grams.

C - (C = "charge" balance). The numerical value for C corresponds to the

selected ion h the component species in solution that is used for charge

balancing. The total rnolality of this ion may be adjusteci if a charge Unbalance

occurs within the solution.

NLOO or NLOOP

O O P = "number of loops"). NLOOP is the maximum nurnber of

Newton-Raphson iterations that CHILLER will use to converge the solution. If

convergence is not reached after NLOOP iterations, the program ceases and non-

convergence is assumed. NLOOP is normally set to 70 and it is generally

accepted that if a case is not solved within 70 iterations, it will not converge. For

some redox calculations however, an NLOOP value as large as 150 is required.

MINS or MINSOL

h4INSOL is used to activate the titration capabilities of CHILLER. With

MTNSOL set to 1, SWC and SLiM are entered into the CHILLRUN data file in

grams. Al1 reactants are therefore titrated into the aqueous phase in grams.

SA0

(SAQ = "sequence, aqueous"). The numeric values for SAQ are preset

and correspond to specific component species ( h m the sequence of component

species) within the SOLTHERM data file. SAQ tells CHILLER the positions of

the component species, required for the calculations, within SOLTHERM.

NAME

The names of the selected component species identified by SAQ are listed

under NAME. These names only serve as a visual aid for the reader as he/she

reads the CHILLRUN data file.

MTOT

(MTOT = "moles, total"). MTOT represents the total number of moles for

the component species within the CHILLRUN file and defmes the overall

chernical composition of the systern. MTOT for water is designated as the amount

of water (in kilograms) within the system.

MTRY

(MTRY = "molality trial" value). MTRY contains the estimated trial

molalities for the component species. Default MTRY values are 1x10-~'. As

CHILLER is used to calculate the actual (unknown) molalities, the closer the

prelirninary MTRY values are to the actual molalities the better are the chances

for convergence. The MTRY value for water is in kilograms and is preset by

CHILLER to 1 kg.

156

MIN or SATMIN

(SATMIN = bbsaturated mineral"). SATMM lists al1 of the minerais and

(or) gases that are saturatcd within the system.

MINTRY

(MINTRY = "mineral moles, trial"). MiNTRY contains the molar

arnounts of the minerals or gases listed within SATMIN. Default MMTRY

values are 1 x1 u9.

NOMOX

(NOMOX = "name, oxide"). NOMOX contains the narnes of the minerais

(reactants) used for the rock titration reactions.

W P C

(WTPC = "weight percent"). WTPC contains the weight percents of the

minerais Iisted under NOMOX.

SUPNAM

(SUPNAM = "suppression name"). SUPNAM Iists the narnes of the

minerals that are suppressed during the CMLLER calculations. This feature

(which is user specified) is used to suppress the formation of any questionable

minerals.

APPENDIX F List of Reactions

Fe& + '/ZH~O + * FcOOH + 4 s + 2 ~ 0 4 ~ - pyrite goethite

FeS2 + 'I~O: + H20 * Fe2+ + 2 ~ 0 4 ~ - + 2R+ pyrite

FcS2 + 14~e* + 8H20 * 15F'e2+ + 2 ~ 0 4 " + 16H' pyr ire

Fe& + 1s14020 + %Hz0 Fc(OW3 + 2 ~ 0 ~ ~ - + 4H+ pyrite ferrihydrite

FeS2 + ' / 2 0 : + H20 * F&04 + H2S04 pyrite

React ion

(1)

MS + Fe(S04)3 + 3/2a' + H20 * MSO4 + 2FeSO4 + H2S04 (10) (where MS stands for any metal suifide)

Fql,fi + (2-2x)Fe* 0 (3-3x)~e~* + sa pyrrhotite

Fq1-,$3 + f'-')/2)oio + 2(1-x)H+ * ( l - x ) ~ e ~ + + s0 + (1-x)H20 pyrrkotite

CaCO3 + &SOI * Cas04 + H z 0 + CO2 calcite

FeO(0H) + 2 ~ 0 4 ~ - + 4@ " Fe& + %H,O + 7 J 1 2 ~ a goethif e pyrite

2KAISi308 + * A I ~ o H ) ' + 2r + 6 s i a o + AP + 2H20 (36) microcline

2KAlSi308 + 2w * 2AIqOH) + 2@ + 6si0z0 microdine diasporc

2KAlSi301 + H20 + 2w * AhSi20s(OH)d + 2K' + 4~i02' microcline kadinite

~ a + + 2ca2+ + 1 9 s i a 0 + ~AIO(OH)@ + 5 h 2 + + + 30H20 * Clcl + Dpb + NaCai(Al&i130M) - 1 4 ï i I 0 + 25H? (43)

stilbite

3KAlSi30s + 2 s * K A 1 3 S i 3 0 ~ ~ O H ) 1 + 2K' + 6 s i a 9 microclhe muscovite

3KIn + 2K+ + Na' + 2ca2' + 19si02' + 9~10(0H)' + 5 ~ e ~ + + 5 ~ $ + + 27H10 *

2Ms + Clcl + Dph + Stb + 27@

3Mc + ~ a ' + 2ca2' + 13si0f + ~ A I ~ O H ) ' + SFC'+ + SM^+ + 30H20 r+

MS + 2K+ + CM+ Dph + Stb + 23H+

~ a + + 2ca2+ + + ~8 + 23sia0 + IOAIO(OH)' + 6it2+ + 6MC + 34'/2~20 *

Cdn + Clel + Dph + Stb + 2'/20z0 + 33H'

3NaAISi308 + 2H+ * NaA12(AlSi~Olo)(O~ + 2 ~ a + + 6sia0 albite paragonite

3Kla + 3 ~ a + + 2ca2+ + K' + ~ e * + 23sio2@ + ~OAIO(OH)O + 6 ~ e " + 6 ~ e + 3 1 1 1 2 ~ ~ 0 *

2Pg + Cdn + Cld + Dpb + Stb + 21/202Q + 3 5 c

3Ab + 2ca2+ + K' + ~e~ + 17sio2* + ~OAIO(OH)@ + 6 ~ e ~ + + 6 ~ $ + 3 4 ' 1 ~ ~ ~ 0 * Pg + Cda + Clcl+ Dpb + Stb + l U d + 2'/2020 + 31H'

CaAI2Si2O8 + 2H* * 2AlO(OH) + ci" + 2 ~ i 0 2 ~ anarthite diuspore

CaA12Si208 + Hz0 + 2H+ # Al2SilOflH)r + ca2+ anorthite kaolin&

Kln + ~ a + + 2ca2+ + 1 7 s e 0 + ~AIO(OH)' + SF~*+ + SM^ + 29H20 *

Ckl+ Dph + Stb + 2Dsp + 25H* (59)

An + Stb + ~ A I ~ O H ) ' + 3 s i a 0 + SFC*+ + SM< + 16H20 + AP *

Ckl+ Dph + 3Lmt + 2Dsp + ~ a ' + 22H' (60)

3An + 2 c + 4H20 * Mrg + Lmt + ci2+ (64)

3An + ~AIO(OH)@ + SF~" + SM^ + 20H2O + HCOY + 6sia0

Mrg + Lmt + Cal + Dph + Ckl+ 19H' (65)

VITA AUCTOIUS

NAME: Christopher Kenneth Lauzon

PLACE OF BIRTH: Windsor, Ontario, Canada

DATE OF BIRTH: October 1 8/1967

EDUCATION: Riverside Secondary Schwl 1981-1986

St. Clair College of Applied Arts and Technology, Windsor, Ontario, Canada 1986- 1988 Industrial Control Systerns Technician

University of Windsor, Windsor, Ontario, Canada 1 989- 1 994 B .Sc. Honors Geology

University of Windsor, Windsor, Ontario, Canada 1994- 1999 M.Sc. E h Sciences: Geology