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Environ Monit Assess DOI 10.1007/s10661-009-1265-2 Seasonal and spatial variation of Yamuna River water quality in Delhi, India Papiya Mandal · Rahul Upadhyay · Aziz Hasan Received: 4 August 2009 / Accepted: 3 December 2009 © Springer Science+Business Media B.V. 2009 Abstract Yamuna river pollution has been exten- sively studied with regard to some selected pa- rameters in five locations at Palla, Nizamuddin Midstream, Nizamuddin Quarter Stream, Agra Canal Midstream, and Agra Canal Quarter Stream in Delhi, India. Seasonal and location-wise varia- tion of pollutants namely dissolve oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total Kjeldahl nitrogen (TKN), ammonia (AMM), total coliform and fe- cal coliform were studied for 6 years during the period of 2000–2005. The study results revealed the lowest level of pollution during monsoon. The P. Mandal (B ) Delhi Zonal Laboratory, Council of Scientific and Industrial Research (CSIR), National Environmental Engineering Research Institute, CSIR Building, A-93/94, Phase I, Naraina Industrial Area, New Delhi 110 028, India e-mail: papiya.mandal [email protected], [email protected], [email protected] R. Upadhyay S S L Jain PG Collage, Vidisha, Madhya Pradesh, India e-mail: [email protected] A. Hasan Analytical Instruments Division, NEERI, CSIR, Nehru Marg, Nagpur 440 020, India e-mail: [email protected] statistical analysis revealed a positive correlation between DO, BOD, COD, TKN, and AMM. Keywords Spatial variation · Water quality · Yamuna River · Pollution · Correlations · Regression Introduction It is well known that clean water is absolutely essential for several purposes for healthy living. The river Yamuna is subjected to multiple uses for community water supply, irrigation, industrial water supply, bathing, and disposal of sewage and industrial effluents. It is an only natural re- source for sustaining all forms of life in Delhi, but perennial increase of population and urban activ- ities in Delhi are placing tremendous pressures and demands on this natural resource. There is a heavy pressure of water supply and sanitation on river Yamuna in Delhi. The chemistry of river waters is dictated by supply of various elements from both natural and anthropogenic sources (Krishnaswami and Singh 2005). Rainfall plays an active role for changing the water quality of the river Yamuna. The climate of the Delhi region is semiarid type with three defined seasons, e.g., winter, summer, and monsoon. The annual av- erage temperature recorded in Delhi is usually between 31.5 C based on records over the period

Seasonal and spatial variation of Yamuna River water quality in Delhi, India

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Environ Monit AssessDOI 10.1007/s10661-009-1265-2

Seasonal and spatial variation of Yamuna Riverwater quality in Delhi, India

Papiya Mandal · Rahul Upadhyay · Aziz Hasan

Received: 4 August 2009 / Accepted: 3 December 2009© Springer Science+Business Media B.V. 2009

Abstract Yamuna river pollution has been exten-sively studied with regard to some selected pa-rameters in five locations at Palla, NizamuddinMidstream, Nizamuddin Quarter Stream, AgraCanal Midstream, and Agra Canal Quarter Streamin Delhi, India. Seasonal and location-wise varia-tion of pollutants namely dissolve oxygen (DO),biochemical oxygen demand (BOD), chemicaloxygen demand (COD), total Kjeldahl nitrogen(TKN), ammonia (AMM), total coliform and fe-cal coliform were studied for 6 years during theperiod of 2000–2005. The study results revealedthe lowest level of pollution during monsoon. The

P. Mandal (B)Delhi Zonal Laboratory,Council of Scientific and Industrial Research (CSIR),National Environmental Engineering ResearchInstitute, CSIR Building, A-93/94, Phase I,Naraina Industrial Area, New Delhi 110 028, Indiae-mail: papiya.mandal [email protected],[email protected], [email protected]

R. UpadhyayS S L Jain PG Collage,Vidisha, Madhya Pradesh, Indiae-mail: [email protected]

A. HasanAnalytical Instruments Division, NEERI, CSIR,Nehru Marg, Nagpur 440 020, Indiae-mail: [email protected]

statistical analysis revealed a positive correlationbetween DO, BOD, COD, TKN, and AMM.

Keywords Spatial variation · Water quality ·Yamuna River · Pollution · Correlations ·Regression

Introduction

It is well known that clean water is absolutelyessential for several purposes for healthy living.The river Yamuna is subjected to multiple usesfor community water supply, irrigation, industrialwater supply, bathing, and disposal of sewageand industrial effluents. It is an only natural re-source for sustaining all forms of life in Delhi, butperennial increase of population and urban activ-ities in Delhi are placing tremendous pressuresand demands on this natural resource. There isa heavy pressure of water supply and sanitationon river Yamuna in Delhi. The chemistry of riverwaters is dictated by supply of various elementsfrom both natural and anthropogenic sources(Krishnaswami and Singh 2005). Rainfall plays anactive role for changing the water quality of theriver Yamuna. The climate of the Delhi regionis semiarid type with three defined seasons, e.g.,winter, summer, and monsoon. The annual av-erage temperature recorded in Delhi is usuallybetween 31.5◦C based on records over the period

Environ Monit Assess

of 70 years maintained by the MeteorologicalDepartment. Delhi receives a total rainfall around611.8 mm/year of which 87% of annual rainfallis received during monsoon month June to Sep-tember (CSE 2008). Monthly rainfall intensity ofDelhi city is shown in Fig. 1. River water qualityis the composite of several interrelated parame-ters which are subjected to local and temporalvariations and also affected by volume of wa-ter flow and discharge rates. River water qual-ity study is usually required for stabilizing baseline conditions, setting quality criteria, and stan-dards (Ahmed 2004). Yamuna river pollution inDelhi stretch is gaining interest to Delhi habitantsbecause of their public health impact and otherissues. In order to study the effect of wastewa-ter disposal on river Yamuna, continuous moni-toring and assessment are required. The CentralPollution Control Board (CPCB) has carriedout routine monitoring of Yamuna water qualitystudy on monthly basis during the period from2000 to 2005. The paper will meet the followingobjectives.

• To assess the monthly/seasonal variation of se-lected parameters like dissolve oxygen (DO),chemical oxygen demand (COD), biochemicaloxygen demand (BOD), total Kjeldahl nitro-gen (TKN), ammonia (AMM), total coliform

(TC), and fecal coliform (FC) at five selectedlocations namely Palla, Nizamuddin MidStream (NMS), Nizamuddin Quarter Stream(NQS), Agra Canal Midstream (ACMS), AgraCanal Quarter Stream (ACQS)

• To prepare the comparative statements of in-terrelationship of the selected parameters

• To compare the results with standards

In this paper, an attempt has been taken to studythe monthly/seasonal and spatial variation of wa-ter quality of river Yamuna. The sampling loca-tion has been identified in Fig. 2.

Materials and methods

The various water quality analyses were carriedout following the 20th edition of the StandardMethods for Examination of Water and Wastewa-ter, published by APHA, AWWA, WEF (1998).Parameter-wise measurement methods are de-scribes in Table 1. The site descriptions are asgiven below.

Pearson’s correlation and regression were usedto detect linear correlations and regressions be-tween selected parameters. Table 2 shows summa-rized location-wise correlation and regression ofselected parameters.

Fig. 1 Monthly rainfallintensity of Delhi City

4.314.5 13.2 9.9 5.5 9.2

38.8

191.6197.4

105.3

19.3

2.80

50

100

150

200

250

DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV

Rai

nfa

ll (m

m)

Month

Rainfall in Delhi

Av.Annual rainfall

Environ Monit Assess

Fig. 2 Sampling locationof River Yamuna at Delhistretch

Site descriptions

The monitoring sites were selected by CPCB onthe basis of need and potential of water qualityimport or pollution load transported, respectively.

• Palla: About 15 km upstream from Wazirabadbarrage near cremation ground. Sampling atthis location reflects the water quality beforereceiving the wastewater discharges fromDelhi and raw water quality for Delhi’s wa-ter supply. Water quality at this location alsoreflects the impact of domestic and industrialdischarges from Sonepat District of Haryana.

• Nizamuddin Bridge Midstream and Nizamud-din Bridge Quarter Stream: 13 km down-stream from Wazirabad barrage (near SaraiKale Khan bus stand) at Delhi—Ghaziabad

(Noida) Road Bridge on Yamuna River. Thewater quality at this location reflects the im-pact of wastewater discharge. NizamuddinBridge Midstream and Nizamuddin BridgeQuarter Stream were within few meters.These two sampling locations have been cho-sen for accuracy of pollution load at selectedstretch.

• Agra Canal Midstream and Agra CanalQuarter Stream: 24 km downstream fromWazirabad barrage and East of Delhi–Agranational highway near Madanpur Khaddar vil-lage. The water quality at this location re-flects the impact of discharge of treated andpartially treated effluents from Okhla Sewagetreatment Plant. Agra Canal Midstream andAgra Canal Quarter Stream were within fewmeters. These two sampling locations have

Table 1 Parameter-wisemeasurement methods

Parameters Unit Measurement methods

Dissolved oxygen (DO) mg/L Winkler modified methodBiochemical oxygen demand (BOD) mg/L DO consumption in 3 days at 27◦CChemical oxygen demand (COD) mg/L Potassium dichromate methodAmmonia mg/L Nesslerization methodKjeldahl nitrogen mg/L Kjeldahl methodTotal coliform (TC) No./100 mL MF techniqueFecal coliform (FC) No/100 mL MF technique

Environ Monit Assess

Tab

le2

Cor

rela

tion

coef

fici

enta

ndre

gres

sion

ofse

lect

edpa

ram

eter

sat

vari

ous

poin

tsof

Yam

una

Riv

erin

Del

hi

Cor

rela

tion

coef

fici

ent

Pal

laN

MS

NQ

SA

CM

SA

CQ

San

dre

gres

sion

r(B

OD

,CO

D)

0.06

0.93

0.98

0.96

0.95

Reg

ress

ion

CO

D=

0.22

71B

OD

CO

D=

2.32

55B

OD

CO

D=

2.50

74B

OD

CO

D=

3.27

4B

OD

CO

D=

3.16

39B

OD

+10

.413

+13

.32

+9.

816

+5.

044

+6.

79R

2=

0.00

4R

2=

0.87

3R

2=

0.96

0R

2=

0.92

0R

2=

0.90

9r(

BO

D,D

O)

0.00

(−)0

.90

(−)0

.90

(−)0

.80

(−)0

.80

Reg

ress

ion

DO

=0.

0504

BO

DD

O=

−0.1

11B

OD

DO

=−0

.121

9B

OD

DO

=−0

.158

2B

OD

DO

=−0

.205

7B

OD

+7.

945

+3.

152

+3.

537

+3.

028

+3.

74R

2=

0.00

3R

2=

0.84

9R

2=

0.79

5R

2=

0.58

8R

2=

0.72

0r(

BO

D,T

KN

)(−

)0.4

70.

830.

890.

810.

89R

egre

ssio

nT

KN

=0.

2437

BO

DT

KN

=0.

7247

BO

DT

KN

=0.

8236

BO

DT

KN

=0.

8749

BO

DT

KN

=0.

9763

BO

D+

2.38

8+

3.97

0+

2.22

0+

2.61

8+

1.79

R2

=0.

221

R2

=0.

684

R2

=0.

786

R2

=0.

654

R2

=0.

788

r(B

OD

,AM

M)

0.09

0.86

0.88

0.83

0.94

Reg

ress

ion

AM

M=

0.01

26B

OD

AM

M=

0.70

06B

OD

AM

M=

0.75

49B

OD

AM

M=

0.76

12B

OD

AM

M=

0.78

68B

OD

+0.

414

−0.

625

−1.

473

−0.

429

−0.

84R

2=

0.00

8R

2=

0.74

5R

2=

0.76

9R

2=

0.68

7R

2=

0.87

7r(

CO

D,D

O)

(−)0

.70

(−)0

.90

(−)0

.92

(−)0

.79

(−)0

.82

Reg

ress

ion

DO

=−0

.192

3C

OD

DO

=−0

.043

5C

OD

DO

=−0

.048

9C

OD

DO

=−0

.047

6C

OD

DO

=−0

.060

1C

OD

+10

.22

+3.

518

+4.

034

+3.

238

+3.

94R

2=

0.48

4R

2=

0.80

1R

2=

0.83

8R

2=

0.62

0R

2=

0.67

8r(

CO

D,T

KN

)0.

100.

850.

930.

880.

86R

egre

ssio

nT

KN

=0.

0149

CO

DT

KN

=0.

3007

CO

DT

KN

=0.

3371

CO

DT

KN

=0.

2778

CO

DT

KN

=0.

2856

CO

D+

1.76

4+

0.51

2−

1.57

2+

0.75

7+

0.84

3R

2=

0.01

1R

2=

0.73

0R

2=

0.86

3R

2=

0.76

8R

2=

0.74

3r(

CO

D,A

MM

)0.

010.

860.

930.

880.

92R

egre

ssio

nC

OD

=0.

3692

AM

MA

MM

=0.

2819

CO

DA

MM

=0.

3142

CO

DA

MM

=0.

2364

CO

DA

MM

=0.

233

CO

D+8

.444

+3.4

11−5

.294

−1.7

94−1

.75

R2

=0.

188

R2

=0.

748

R2

=0.

873

R2

=0.

772

R2

=0.

846

r(D

O,T

KN

)(−

)0.2

7(−

)0.7

4(−

)0.8

4(−

)0.6

7(−

)0.6

7R

egre

ssio

nT

KN

=−0

.140

2D

OT

KN

=−5

.396

DO

TK

N=

−5.6

739

DO

TK

N=

−3.5

146

DO

TK

N=

−3.0

419

DO

+3.

0524

+23

.686

+25

.23

+17

.526

+17

.92

R2

=0.

075

R2

=0.

550

R2

=0.

698

R2

=0.

40R

2=

0.45

0r(

DO

,AM

M)

(−)0

.29

(−)0

.81

(−)0

.88

(−)0

.69

(−)0

.77

Reg

ress

ion

AM

M=

−0.0

412

DO

AM

M=

−5.4

832

DO

AM

M=

−5.5

151

DO

AM

M=

−3.0

873

DO

AM

M=

−2.6

678

DO

+0.

769

+18

.64

+19

.875

+12

.57

+12

.36

R2

=0.

086

R2

=0.

663

R2

=0.

768

R2

=0.

481

R2

=0.

592

r(T

KN

,AM

M)

0.02

0.96

0.96

0.95

0.90

Reg

ress

ion

AM

M=

0.00

42T

KN

AM

M=

0.88

69T

KN

AM

M=

0.88

77T

KN

AM

M=

−0.8

025

TK

NA

MM

=−0

.686

2T

KN

+0.

421

−2.

899

−2.

913

−1.

74−

0.48

4R

2=

0.00

02R

2=

0.91

7R

2=

0.91

7R

2=

0.89

4R

2=

0.80

6

Environ Monit Assess

been chosen for accuracy of pollution load atselected stretch.

Results and discussion

Monthly/seasonal variations of selected parame-ters during the period of 2000 to 2005 are shown inFigs. 3, 4, 5, 6, 7, 8, and 9. Standard deviation (SD)of the 6-year data reflects that the SD was less forDO, BOD, COD, TKN, and AMM and was highfor TC and FC. SD of selected parameters was notincorporated in the paper.

DO drops to alarming levels at middle anddownstream of river Yamuna shown in Fig. 3,the attainment of maximum level of DO duringmonsoon (June to August). The maximum andminimum concentrations of DO at Palla were 9.1and 6.6 mg/L. DO content, which plays a vital rolein supporting aquatic life in running water, is sus-ceptible to slight environmental changes (Ahmed2004). Very low DO may result in anaerobic con-ditions that cause bad odors.

BOD is an indicator of organic pollution. Un-polluted natural waters have a BOD of 5 mg/Lor less (Schulze et al. 2001). The highest average

BOD level measured at Nizamuddin stretch isshown in Fig. 4. The maximum permissible levelof BOD for bathing is 3 mg/L. BOD was inverselyrelated to DO.

Spatial variation of COD is shown in Fig. 5.COD is positively correlated with BOD, TKN,and AMM and inversely related to DO. HighCOD interferes with oxygen transfer to the soil,thus affecting plant growth (Adekunle et al. 2007).Drinking water supply should not exceed CODof 2.5 mg/L, and potable water of COD contentgreater than 7.5 mg/L is regarded as poor (Esa1983).

Spatial variations of TKN and AMM are shownin Figs. 6 and 7. Ammonia in the form of nitrogenis readily available to marine life and microorgan-isms. The presence of ammonia and nitrogenoussources in large amounts may result in eutrophica-tion, leading to algal blooms and anoxic conditions(Elmanama et al. 2006). TKN and AMM werehighly correlated. Correlation at NizamuddinStream and Agra Canal Stream of river Ya-muna was more than 0.8. Presence of nutrientsunder normal conditions supports the growthof bacteria and other microorganisms, leadingto higher BOD levels as well as a correspond-

Fig. 3 Spatial variationof DO of Yamuna Riverat different location ofDelhi Stretch during thesampling period

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

10.00

DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV

DO

Month

DO

palla NMS NQS

ACMS ACQS STD (Min)

Environ Monit Assess

Fig. 4 Spatial variationof BOD of Yamuna Riverat different location ofDelhi Stretch during thesampling period

0

5

10

15

20

25

30

35

DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV

BO

D

Month

BOD

palla NMS NQS

ACMS ACQS STD (Max)

ing increase in the fecal coliform count. Thisfinding was supported by a different researcher(Jannasch 1968).

TC and FC are indicators for pathogenic organ-isms. They are usually present in surface water,soil, and feces of humans and animals. Monthly/

seasonal and spatial variations of TC and FC areshown in Figs. 8 and 9. It has been noticed that,even at Palla, upstream of river Yamuna, desiredcriteria of water quality regarding TC were abovethe permissible limit of CPCB Standard (WaterQuality Criteria, CPCB 2009).

Fig. 5 Spatial variationof COD of Yamuna Riverat different location ofDelhi Stretch during thesampling period

0

10

20

30

40

50

60

70

80

90

100

DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV

CO

D

Month

COD

palla NMS NQS

ACMS ACQS

Environ Monit Assess

Fig. 6 Spatial variationof TKN of Yamuna Riverat different location ofDelhi Stretch during thesampling period

0.00

5.00

10.00

15.00

20.00

25.00

30.00

35.00

DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV

TK

N

Month

TKN

palla NMS NQS

ACMS ACQS

Spatial variation

The results indicated no significant difference inthe measured concentration of pollutants at alllocations during winter and summer months, Oc-tober to May. Significant differences were notedduring monsoon months, June to September. The

flow of the Yamuna River varies significantlyduring monsoon and nonmonsoon seasons. DO,BOD, COD, TKN, and AMM were varied signifi-cantly with locations and seasons. TC and FC con-centrations were significantly high at Nizamuddinand Agra Canal Stretch during the summer sea-son in the month of May. The total and fecal

Fig. 7 Spatial variationof AMM of YamunaRiver at different locationof Delhi Stretch duringthe sampling period

0.00

5.00

10.00

15.00

20.00

25.00

DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV

AM

M

Month

AMM

palla NMS NQS

ACMS ACQS

Environ Monit Assess

Fig. 8 Spatial variationof TC of Yamuna Riverat different location ofDelhi Stretch during thesampling period

0

50000000

100000000

150000000

200000000

250000000

DEC JAN FEB MAR APR MAY JUN JUL AUG SEPT OCT NOV

TC

Month

TC

Palla NMS NQS

ACMS ACQS STD (5000/100 ml)

coliform reduced significantly during monsoonbut was much higher than water quality standard(Water Quality Status of Yamuna River, CPCB2006).

Overall, Palla was meeting all desired crite-ria for selected water quality parameters. Pallahad appreciable DO and low BOD, COD, TKN,AMM, TC, and FC as compared to other selectedsites. Water at Palla could be classified as “C”category according to CPCB standard shown in

Table 3. Water at Nizamuddin and Agra CanalStretch cannot be use even for bathing purposesalso. A 22-km stretch of Yamuna River in Delhiis not only dead but an overload of coliformcontamination (CSE 2009). Under the YamunaAction plan, Phase I, 1993, a total of 16 upflowAnaerobic Sludge Blanket Reactors (UASBR)were constructed along river Yamuna. The costof construction, operation and maintenance cost,and low energy consumptions were the addi-

Fig. 9 Spatial variationof FC of Yamuna River atdifferent location of DelhiStretch during thesampling period

0

10000000

20000000

30000000

40000000

50000000

60000000

DEC JAN FEB MAR APR MAY JUN JUL AUG SEPT OCT NOV

FC

Month

FC

Palla NMS NQS

ACMS ACQS

Environ Monit Assess

Table 3 Designated bestuse classification ofsurface water

Source: Guidelines forwater quality monitoring,MINARS/2007-08 (CPCB2007)MPN most probablenumber

Designated best use Quality Primary water quality criteriaclass

Drinking water source without A Total coliform organismsconventional treatment (MPNa/100 ml) shall be 50 or lessbut with chlorination pH between 6.5 and 8.5

Dissolved oxygen 6 mg/L or moreBiochemical oxygen demand

2 mg/L or lessOutdoor bathing (organized) B Total coliform organisms

(MPN/100 ml) shall be 500 or lesspH between 6.5 and 8.5Dissolved oxygen 5 mg/L or moreBiochemical oxygen demand

3 mg/L or lessDrinking water source with C Total coliform organisms

conventional treatment (MPN/100 ml) shall be 5,000 or lesspH between 6 and 9Dissolved oxygen 4 mg/L or moreBiochemical oxygen demand

3 mg/L or lessPropagation of wildlife D pH between 6.5 and 8.5

and fisheriesDissolved oxygen 4 mg/L or moreFree ammonia (as N) 1.2 mg/L or less

Irrigation, industrial cooling, E pH between 6.0 and 8.5and controlled disposal Electrical conductivity less than

2,250 μmho/cmSodium absorption ratio less than 26

tional main advantage, but the major problemwith UASBR is that these plants produced verypoor quality of effluent having high level of BOD,COD, and FC (Mittal 2008). Poor condition oftrunk sewers, shortage of sewage treatment capac-ity, and lack of sanitation facilities in unseweredarea of Delhi which account for nearly 50% ofpopulation are responsible for continued pollu-tion of Yamuna in Delhi. Delhi alone contributesaround 3,296 MLD/day of sewage by virtue ofdrains out falling in Yamuna Delhi segment flow(22-km length). This is more than that of all theclass 2 cities of India put together (Jain et al.2007). The river Yamuna receives discharge from22 drains at downstream of Wazirabad. The waterquality monitoring of 22 drains in Delhi indicatesthat except Khyber Pass drain 21 drains were notmeeting the criteria for one of the other indica-tor parameters, i.e., COD, BOD, and suspendedsolids (Bhardwaj et al. 2003). Blockage of drainsby solid waste reduces the carrying capacity ofdrains and natural canals and also a source of

pollution (Alam et al. 2007). The Najafgarh drainfalls at Yamuna before Nizamuddin stretch whichis a major contributor to the pollution of river(Bhardwaj et al. 2003). So Nizamuddin stretchmight be the most polluted among all three se-lected sites in Delhi.

Conclusions

The results of this study demonstrated that the un-treated and partially treated wastewater disposedto river Yamuna is highly polluted. Various en-vironmental parameters are varied with locationand season. Recycle and reuse of wastewater aswater after providing minimum treatment can re-duce the wastewater discharge into river Yamuna.Providing artificial DO to the polluting drains willreduce significantly BOD and other associatedpollution load to the river. Identification of un-sewered areas and provide an effective seweragesystem may result in treated sewage, out falling

Environ Monit Assess

in the river through open drains/nallahs. Efficientand sophisticated treatment plant for domesticand industrial sewage to ensure their conformitywith the standards prescribed by Delhi PollutionControl Committee under the provisions of theWater (Prevention and Control of Pollution) Act,1974 will significantly reduce the pollution loadof Yamuna. Avoiding mixing of treated and un-treated domestic as well as industrial sewage intosurface drainage may reduce the pollution loadto river. Understanding the seasonal variationand interrelationship of the selected parametersmay be helpful in routine analysis of river waterquality.

Acknowledgements The authors are grateful to the Cen-tral Pollution Control Board (CPCB), New Delhi, Indiafor providing the relevant data of Yamuna River waterquality. Authors are also grateful to the Acting DirectorDr. T. Chakrabarti, National Environmental EngineeringResearch Institute (NEERI), for granting permission topublish this work.

References

Adekunle, I. M., Adetunji, M. T., Gbadebo, A. M., &Banjoko, B. O. (2007). Assessment of groundwaterquality in a typical rural settlement in SouthwestNigeria. International Journal of Environmental Re-search and Public Health, 4(4), 307–318.

Ahmed, A. (2004). Ecological studies of the River Padmaat Mawa Ghat, Munshiganj I. Physicochemical prop-erties. Pakistan Journal of Biological Sciences, 7(11),1865–1869.

Alam, J. B., Hossain, A., Khan, S. K., Banik, B. K., Islam,M. R., Muyen, Z., et al. (2007). Deterioration of waterquality of Surma river. Environmental Monitoring andAssessment, 134, 233–242.

APHA (1998). American public health association. Stan-dard methods for examination of waters and wastewa-ters (20th ed.). Washington, DC: APHA.

Bhardwaj, R. M., Mehrotra, K., Trivedi. R. C., Makhijani,S. D. (2003). Status of water quality in Yamuna River.In Paper presented at the seminar on water for nationalcapital territory, Delhi.

CPCB (2006). Water quality status of Yamuna River.Assessment and development study of River Basinseries: ADSORBS/41/2006-07. http://www.cpcb.nic.in/newitems/11.pdf. Accessed 11 January 2009.

CPCB (2007). Guidelines for water quality monitoring,MINARS/27/2007-08. http://www.cpcb.nic.in/upload/NewItems/NewItem_116_Guidelinesof%20waterqualitymonitoring_31.07.08.pdf. Accessed on 4 November2009

CPCB (2009). Water quality criteria. http://cpcbenvis.nic.in/waterpollution/criteria.htm. Accessed on 4November

CSE (2008). Climate & rainfall. http://www.rainwaterharvesting.org/index_files/climate_rainfall.htm. Accessed 10 January 2009.

CSE (2009). State of pollution in the Yamuna. http://www.indiaenvironmentportal.org.in/files/State%20of%20the%20Yamuna_0.pdf. Accessed on 16 July 2008.

Elmanama, A. A., Afifi, S., & Bahr, S. (2006). Sea-sonal and spatial variation in the monitoring parame-ters of Gaza Beach during 2002–2003. EnvironmentalResearch, 101(1), 25–33.

Esa, R. (1983). Drilled wells and groundwater in thePrecambrian crystalline bedrock of Finland (No. 52, p.57). Helsinki: Water Research Institute.

Jain, S. K., Agarwal, P. K., & Singh V. P. (2007). Hydrologyand water resources of India. Water science and tech-nology library (Vol. 57). Dordrecht: Springer.

Jannasch, H. (1968). Competitive elimination of Enter-obacteriaceae from sea water. Applied Microbiology,16, 1616–1618.

Krishnaswami, S., & Singh, S. K. (2005). Chemical weather-ing in the river basins of the Himalaya, India. CurrentScience (Special Section: Water), 89(5), 841–849.

Mittal, A. K. (2008). Urban run-off: Source of majormicrobial load on Indian Rivers. (December 15–16)paper presented at the national Conference on Hy-draulics, Water Resources and Environment, HYDRO-2008. Jaipur City

Schulze, D. L., Eggers, J. S., Esser, L. R. (2001). Waterquality studies red rock and Saylorville Reservoirs DesMoines River, Lowa. Annual Report. Department ofthe Army, Rock Island District, Corps of Engineers,Rock Island, IL.