Site Specific Assessment using G-CAT and AGS file structure

Use of AGS Data to Streamline Statistical Analysis and Risk Screening at Contaminated Land

SitesSites

Aamer RazaAssociate Director, Harrison Group

EnvironmentalDirector, MPA Global Solutions Ltd

MPA – Global Solutions www.mpaglobalsolutions.com

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P t ti Obj tiPresentation Objectives

Illustrate how AGS formatted electronic data can be integratedwith data management, statistical analysis and visualization toolsto achieve rapid, efficient, and cost effective analysis ofcontaminated land data:

Case Study

•Risk Screening•Hot‐spot evaluation

d•Remediation Strategies


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The Site:

Plastics fabrication facility

•Nickel and copper are used in electroplating operations at the site•Nickel and copper are used in electroplating operations at the site.•Historical release of nickel from a below ground storage tank. •Prior site investigations identified limited quantities of VOCs and SVOCs.

Previously a boat builders.

•Tributyltin tin (TBT) used as a timber preservative . y ( ) p•A hot spot of TBT identified in the southeast corner of the site.

Prior to that, the site had been used as a farm.

•Polycyclic Aromatic Hydrocarbons and metals in made ground. •Areas used for burning of farm waste


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The Conceptual Model:The Conceptual Model:


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The Tools: G CAT BioStatThe Tools: G‐CAT, BioStat

Import SummariseStatistical Summaries, Data Trees

Relational Data

Electronic file formatsAGS

AnalyseStatistical Analysis, Risk Screening, Spatial Distribution Hot spot analysisAGS

CSVDBFKML / KMZ

Distribution, Hot‐spot analysis

VisualiseGoogle Earth (KML files)Google Earth (KML files)

ExportRelational Files, Summary Tables, Data Trees, ESRI Shape Files, KMZ Files


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Step 1 Data Import Import : Electronic file formats; AGS, CSV, DBFStep 1 Data Import p ; , ,


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Step 2 SummariseStatistical Summaries Data Trees Risk Screeningp Statistical Summaries, Data Trees, Risk Screening,


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Step 2 SummariseStatistical Summaries Data Trees Risk Screeningp Statistical Summaries, Data Trees, Risk Screening,

Constituents of Potential Concern Indentified:

•Soils: Copper, Nickel, PAHs

•Shallow Groundwater: TBT

•Sediments / Surface Water: PAHs, TBT

Consistent with Site Information and Previous Reports


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Step 3 AnalyseStep 3 yStatistical Analysis, Risk Screening, Remediation Scenarios

Statistical analysis : CIEH / CLAIRE Guidance, Other MethodsStatistical analysis : CIEH / CLAIRE Guidance, Other Methods

•Normal probability plots•Tests for normality (Shapiro Wilkes)Tests for normality (Shapiro Wilkes)•Test for outliers (Grubbs Test)•Upper Confidence Limits (Normal, Log‐Normal, Non‐Parametric) •Multi‐Variate Analysis (Fingerprinting)y ( g p g)

Spatial Analysis•Lateral and Vertical extent•Hot‐spots•Concentration Gradients


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Step 3AnalyseStatistical Analysis, Risk Screening, Remediation Scenarios


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Visualisel h (k l f l ) h f lStep 3 Google Earth (kml files), Shape filesStep 3


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Step 3 AnalyseStatistical Analysis, Risk Screening, Remediation Scenarios

Made Ground

Hot‐Spot


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Copper Nickel Conclusions

•Elevated Concentrations exceeding risk screening values at hot‐spot

•Location of former electroplating and sludge storage area

•Rest of site < risk screening level


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VisualiseGoogle Earth (kml files), Shape filesStep 3


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Made Ground

Hot‐Spot


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Step 4 Export Relational Files, Summary Tables, Data Trees

Export Feature Application

S T bl D t T E l f f tti d l iSummary Tables, Data Trees Excel for formatting and analysis

KML Shape File, AutoCAD, ESRI ArcView, Google EarthKML Shape File, AutoCAD, ESRI ArcView, Google Earth

Relational data sets Surfer, Grapher, Statistical software ‐ BioStat


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Step 3 Analyse Fingerprinting Analysis

4

Principal Component Plot

1

2

3

PCA2

‐2

‐1

0

‐6 ‐4 ‐2 0 2 4 6 8

PCA2

0 300‐3

PCA1Made Ground Hot Spot

0.150

0.200

0.250

0.300

Average Rest of Site

0.000

0.050

0.100

Ace

Ace

Ant

Ben

Ben

Ben

Ben

Ben

Ch

Di b

Flu

Flu

Ind

Na

Ph e

Average Hot-SpotCongener Ratios

enaphthene

enaphthylene

thracene

nz(a)anthracene

nzo(a)pyrene

nzo(b)fluoranthene

nzo(ghi)perylene

nzo(k)fluoranthene

rysene

benzo(ah)anthrac…

uoranthene

uorene

deno(123cd)pyrene

phthalene

enanthrene


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PAH Conclusions

•Elevated Concentrations exceeding risk screening values at hot‐spot

•Location of former open burning areas

•PCA Plot indicates distinct pattern of congener ratios at Hot‐Spot

•Fingerprint consistent with pyrogenic sources


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VisualiseGoogle Earth (kml files), Shape filesStep 3


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TBT Conclusions

•Elevated Concentrations exceeding risk screening values in groundwater at hot‐spot

•Elevated detection limits could be a problemlevated detection limits could be a problem

•Location of former wood treating areas

E id f i ti f TBT t St•Evidence of migration of TBT to Stream

•Drainage Channel from site represents possible migration pathway

•Concentration gradient in stream suggests drainage channel discharge


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Presentation ConclusionsPresentation Conclusions

Electronic Deliverables such as AGS coupled with costeffective software for managing visualising and analysingeffective software for managing, visualising, and analysinggeo‐chemical analysis and environmental contaminationdata provides:

•Improved Quality

I d Effi i•Improved Efficiency

•Improved Data Sharing and Communication

•Improved Bottom Line


G‐CAT

Documents

Site Specific Assessment using G-CAT and AGS file structure