Water Quality, Exposure and Health

, Volume 2, Issue 3–4, pp 193–203 | Cite as

Characterizing Monsoonal Variation on Water Quality Index of River Mahi in India using Geographical Information System

  • P. K. SrivastavaEmail author
  • S. Mukherjee
  • M. Gupta
  • S. K. Singh


River water quality has gained significance as river water is being contaminated due to various human activities and it needs attention to ensure sustainable safe use. Geographical Information System (GIS) and Water Quality Index (WQI), which synthesize different available water quality data into an easily understood format, provide a way to summarize overall water quality conditions in a manner that can be clearly communicated to policy makers. Physicochemical analysis data of various water samples collected at different locations forms the quality database for the study. WQI was then calculated to find the suitability of water for drinking purpose. Inverse distance weighted spatial interpolation technique was used for generation of pollution potentiality map of the area. Agglomerative Cluster Analysis (CA) was performed for delineating and grouping the similar pollution causing areas. The overall view of the water quality index of the present study area revealed that most of the study area comes under highly to very highly polluted zone.


Water quality index Monsoon Spatial interpolation Geographical information system Cluster analysis 


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  1. Alkarkhi AFM, Ahmad A et al. (2008) Assessment of surface water through multivariate analysis. J Sustain Dev 1(3):27–33 Google Scholar
  2. Alkarkhi AFM, Ismail N et al. (2009) Analysis of heavy metal concentrations in sediments of selected estuaries of Malaysia: a statistical assessment. Environ Mon Assess 153(1–4):179–185 CrossRefGoogle Scholar
  3. Alvin CR (2002) Methods of multivariate analysis. Wiley, New York Google Scholar
  4. APHA (1998) Standard methods for the examination of water and wastewater, 20th edn. American Public Health Association, Washington Google Scholar
  5. Astel A, Tsakovski S, Barbieri P, Simeonov V (2007) Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets. Water Res 41:4566–4578 CrossRefGoogle Scholar
  6. Babiker IS, Mohamed MAA et al. (2004) Assessment of groundwater contamination by nitrate leaching from intensive vegetable cultivation using geographical information system. Environ Int 29(8):1009–1017 CrossRefGoogle Scholar
  7. Babiker IS, Mohamed AA, Hiyama T (2007) Assessing groundwater quality using GIS. Water Resour Manag 21:699–715 CrossRefGoogle Scholar
  8. Bonham-Carter GF (1996) Geographic information systems for geoscientists: modeling with GIS. Comput Methods Geosci 13:1–50 CrossRefGoogle Scholar
  9. Chang KT (2006) Introduction to geographic information systems, 3rd edn. Tata McGraw Hill, New Delhi, pp 325–327 Google Scholar
  10. Chatterjee R, Tarafder G, Paul S (2009) Groundwater quality assessment of Dhanbad district, Jharkhand, India. Bull Eng Geol Environ. doi: 10.1007/s10064-009-0234-x Google Scholar
  11. Corwin DL, Loague K, Ellsworth TR (1998) GIS-based modeling of non-point source pollutants in the vadose zone. J Soil Water Conserv 53:34–38 Google Scholar
  12. Das M, Gupta A, Purohit KM, Datta J (2001) Assessment of drinking water quality of River Brahmani. Indian J Environ Prot 8:285–291 Google Scholar
  13. Davis JC (1973) Statistics, data analysis in geology. Wiley, New York, 550 pp Google Scholar
  14. Duda AM (1993) Addressing non-point sources of water pollution must become an international priority. Water Sci Technol 28:1–11 Google Scholar
  15. Gupta M, Srivastava PK (2010) Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India. Water Int 35:233–245 CrossRefGoogle Scholar
  16. Hem JD (1991) Study and interpretation of the chemical characteristics of natural water, 3rd edn. Scientific Publication, Jodhpur, 2254 Google Scholar
  17. ICMR (1975) Manual of standard quality for drinking water supplies, 2nd edn. Special report series, vol 44 Google Scholar
  18. ISI (1991) Indian Standard Specification for drinking water. IS:10500, New Delhi Google Scholar
  19. Jain CK (2002) A hydro-chemical study of a mountainous watershed: The Ganga. India Water Res 36:1262–1274 CrossRefGoogle Scholar
  20. Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development: an approach. Int J Remote Sens 24:993–1008 CrossRefGoogle Scholar
  21. Jaiswal RK, Saxena R, Mukherjee S (1999) Application of remote sensing technology for land use/land cover change analysis. J Indian Soc Remote Sens 27:124–128 CrossRefGoogle Scholar
  22. Jaiswal RK, Saxena R, Mukherjee S (2001) Land use/Land cover mapping using IRS 1C LISS III false colour composite: a case study of a part of Shahdol district, Madhya Pradesh. J Trop For 17:33–40 Google Scholar
  23. Johnson RA, Wichern DW (2002) Applied multivariate statistical analysis. Prentice-Hall, London Google Scholar
  24. Kaurish F, Younos T (2007) Developing a standardized water quality index for evaluating surface water quality. J Am Water Resour Assoc 23:533–545 CrossRefGoogle Scholar
  25. Kowalkowski T, Zbytniewski R, Szpejna J, Buszewski B (2006) Application of chemometrics in river water classification. Water Res 40:744–752 CrossRefGoogle Scholar
  26. Lillesand TM, Kiefer RW (1979) Remote sensing and image interpretation. Wiley, New York Google Scholar
  27. Massoud MA, El-Fadel M, Scrimshaw MD, Lester JN (2006) Factors influencing development of management strategies for the Abou Ali River in Lebanon: I. Spatial variation and land use. Sci Total Environ 362:15–30 CrossRefGoogle Scholar
  28. Milovanovic M (2007) Water quality assessment and determination of pollution sources along the Axios/Vardar River, Southeastern Europe. Desalination 213:159–173 CrossRefGoogle Scholar
  29. Moore LW, Matheny H, Tyree T, Sabatini D, Klaine SJ (1988) Agricultural run-off modeling in a small west Tennessee watershed. J Water Pollut Control Fed 60:242–249 Google Scholar
  30. Mukherjee S, Shashtri S, Singh CK, Srivastava PK, Gupta M (2009) Effect of canal on land use/land cover using remote sensing and GIS. J Indian Soc Remote Sens 37:527–537 CrossRefGoogle Scholar
  31. Mukherjee S et al. (2007) Integrated water resource management using remote sensing and geophysical techniques: Aravali quartzite, Delhi, India. J Environ Hydrol 15, Paper 10 Google Scholar
  32. Ouyang Y (2005) Evaluation of river water quality monitoring stations by principal component analysis. Water Res 39:2621–2635 CrossRefGoogle Scholar
  33. Ouyang Y, Nkedi-Kizza P et al. (2006) Assessment of seasonal variations in surface water quality. Water Res 40(20):3800–3810 CrossRefGoogle Scholar
  34. Pradhan SK, Patnaik D, Rout SP (2001) Water quality index for the ground water in and around a phosphatic fertilizer plant. Indian J Environ Prot 21:355–358 Google Scholar
  35. Rowell DJ (1994) Soil science: methods and applications. Longman Scientific and Technical, London Google Scholar
  36. Sharma ML (1996) Impact of agriculture on nutrient contamination of water resources. In: Singh VP, Kumar B (eds) Water quality hydrology. Kluwer Academic, Dordrecht, pp 57–79 Google Scholar
  37. Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji River Basin, Japan. Environ Model Softw 22:464–475 CrossRefGoogle Scholar
  38. Singh KP, Malik A, Mohan D, Sinha S (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—a case study. Water Res 38:3980–3992 CrossRefGoogle Scholar
  39. Singh SK, Singh CK, Kewat SK, Gupta R, Mukherjee S (2009) Spatial-temporal monitoring of groundwater using multivariate statistical techniques in Bareilly district of Uttar Pradesh, India. J Hydrol Hydromech 57:45–54 CrossRefGoogle Scholar
  40. Singh SK, Singh CK, Mukherjee S (2010) Impact of land-use and land-cover change on groundwater quality in the Lower Shiwalik hills: a remote sensing and GIS based approach. Cent Eur J Geosci 2:124–131 CrossRefGoogle Scholar
  41. Sivasankar V, Ramachandramoorthy T (2009) An investigation on the pollution status of holy aquifers of Rameswaram, Tamil Nadu, India. Environ Monit Assess 156:307–315 CrossRefGoogle Scholar
  42. Srivastava PK, Mukherjee S, Gupta M (2008) Groundwater quality assessment and its relation to land use/land cover using remote sensing and GIS. In: Proceedings of international groundwater conference on groundwater use—efficiency and sustainability: groundwater and drinking water issues, Jaipur, India, 19–22 March 2008 Google Scholar
  43. Srivastava PK, Mukherjee S, Gupta M (2010) Impact of urbanization on land use/land cover change using remote sensing and GIS: a case study. Int J Ecol Econ Stat 18:106–117 Google Scholar
  44. Tiwari TN, Mishra M (1985) A preliminary assignment of water quality index to major Indian rivers. Indian J Environ Prot 5:276–279 Google Scholar
  45. Tjandra FL, Kondhoh A, AMA Mohammed (2003) A conceptual database design for hydrology using GIS. In: Proceedings of Asia pacific association of hydrology and water resources, 13–15 March, Kyoto, Japan Google Scholar
  46. Tudesque L, Gevrey M, Grenouillet G, Lek S (2008) Long-term changes in water physicochemistry in the Adour–Garonne hydrographic network during the last three decades. Water Res 42:732–742 CrossRefGoogle Scholar
  47. Vega M, Pardo R, Barrado E, Deban L (1998) Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Res 32:3581–3592 CrossRefGoogle Scholar
  48. Wai WW, Alkarkhi AFM et al. (2010) Comparing biosorbent ability of modified citrus and durian rind pectin. Carbohydr Polym 79(3):584–589 CrossRefGoogle Scholar
  49. Wang X, Lu Y, Han J, He G, Wang T (2007) Identification of anthropogenic influences on water quality of rivers in Taihu watershed. J Environ Sci (China) 19:475–481 Google Scholar
  50. WHO (1984) Guidelines to drinking water quality, vol 1. World Health Organization, Geneva, 130 pp Google Scholar
  51. Xu J, Ho AYT et al. (2008) Temporal and spatial variations in nutrient stoichiometry and regulation of phytoplankton biomass in Hong Kong waters: influence of the Pearl River outflow and sewage inputs. Marine Pollut Bull 57(6–12):335–348 CrossRefGoogle Scholar
  52. Xu K, Milliman JD (2009) Seasonal variations of sediment discharge from the Yangtze River before and after impoundment of the Three Gorges Dam. Geomorphology 104:276–283 CrossRefGoogle Scholar
  53. Xu KH, Milliman JD, Yang ZS, Xu H (2007) Climatic and anthropogenic impacts on the water and sediment discharge from the Yangtze River (Changjiang), 1950–2005. In: Gupta A (ed) Large rivers: geomorphology and management. Wiley, West Sussex, pp 609–626 Google Scholar
  54. Yin KD (2002) Monsoonal influence on seasonal variations in nutrients and phytoplankton biomass in coastal waters of Hong Kong in the vicinity of the Pearl River Estuary. Marine Ecol Prog Ser 245:111–122 CrossRefGoogle Scholar
  55. Zhu YM, Lu XX, Zhou Y (2008) Sediment flux sensitivity to climate change: a case study in the Longchuanjiang catchment of the upper Yangtze River, China. Glob Planet Change 60:429–442 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • P. K. Srivastava
    • 1
    Email author
  • S. Mukherjee
    • 2
  • M. Gupta
    • 3
  • S. K. Singh
    • 4
  1. 1.Department of Biological and Environmental ScienceNVPASAnandIndia
  2. 2.School of Environmental SciencesJawaharlal Nehru UniversityNew DelhiIndia
  3. 3.Water Resource Engineering, Department of Civil EngineeringIITNew DelhiIndia
  4. 4.Department of Atmospheric and Ocean Science, Nehru Science CentreUniversity of AllahabadAllahabadIndia

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