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Application of GWQI to Assess Effect of Land Use Change on Groundwater Quality in Lower Shiwaliks of Punjab: Remote Sensing and GIS Based Approach

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Abstract

The groundwater resource is a multidimensional concept; it is defined by its location, its occurrence over time, its size, properties, conditions of accessibility, the effort required to mobilize it and therefore, all of which are to be considered in the context of demand. Groundwater, a renewable and finite natural resource, vital for man’s life, social and economic development and a valuable component of the ecosystem, is vulnerable to natural and human impacts. There is a great need for the assessment and monitoring of quality and quantity of groundwater resource required at local level to develop an exact scenario of watershed. In this study qualitative assessment of groundwater was done and a ground water quality index criterion was used to understand the suitability of groundwater for irrigation and drinking purpose in the study area. A GIS based multicriteria analysis was done by assigning weight to different water quality parameters. The water quality was grouped into six classes from very good to unfit for drinking. It was found that the in most part of the study area the water quality varied from moderate to good except in some areas where it is poor to unfit. An assessment of change in landuse and landcover was done from the year 1989 using Landsat data to year 2006 using LISS III satellite data. The change in LULC was correlated with water quality data and it was found that the areas around which rapid urbanisation as well as industrialisation is taking place showed poor to unfit groundwater in terms of quality.

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References

  1. Anderson JR, Hardy EE, Roach JT, Witmer RE (1976) A land use and land cover classification system for use with remote sensor data. USGS.Prof. Paper 964P:1–26

  2. Andreae MO (2002) Humanity: passenger or pilot on the spaceship earth? Glob Change (IGBP) Newsl 52:2–7

    Google Scholar 

  3. APHA (1995) Standard methods for the examination of water and wastewater (19th ed.). American Public Health Association, New York

    Google Scholar 

  4. Asadi SS, Vuppala P, Reddy MA (2007) Remote sensing and GIS techniques for evaluation of groundwater quality in municipal corporation of Hyderabad (Zone-V), India. Int J Environ Res and Public Health 4(1):45–52

    Article  Google Scholar 

  5. Babiker IS, Mohamed AAM, Hiyama T (2007) Assessing groundwater quality using GIS. Water Resour Manage 21:699–715

    Article  Google Scholar 

  6. Backman B, Bodis D, Lahermo P, Rapant S, Tarvainen T (1998) Application of a groundwater contamination index in Finland and Slovakia. Environ Geol 36(1–2):55–64

    Article  Google Scholar 

  7. Burrough PA, McDonnell RA (1998) Principles of geographical information systems for land resources assessment. Oxford University Press, New York

    Google Scholar 

  8. Carlson TN, Azofeifa SGA (1999) Satellite remote sensing of land use changes in and around San Jose’, Costa Rica. Remote Sens Environ 70:247–256

    Article  Google Scholar 

  9. CGWB (2007) Groundwater Year Book, Ministry of Water Resources

  10. Green K, Kempka D, Lackley L (1994) Using remote sensing to detect and monitor land cover and land use changes. Photogramm Eng Remote Sens 60(3):331–337

    Google Scholar 

  11. Guan W, Chamberlain RH, Sabol BM, Doeringand PH (1999) Mapping submerged aquatic vegetation in the Caloosahatchee Estuary: evaluation of different interpolation methods. Mar Geodesy 22:69–91

    Article  Google Scholar 

  12. Guerschman JP, Paruelo JM, Bela CD, Giallorenzi MC, Pacin F (2003) Land cover classification in the Argentine Pampas using multi-temporal Landsat TM data. Int J Remote Sens 24:3381–3402

    Article  Google Scholar 

  13. Guo H, Wang Y (2004) Hydrogeochemical processes in shallow quaternary aquifers from the northern part of the Datong Basin, China. J Appl Geochem 19:19–27

    Article  Google Scholar 

  14. Gupta SK, Deshpande RD (2004) Water for India in 2050: first-order assessment of available options. Curr Sci 86:1216–1223

    Google Scholar 

  15. Kam TS (1995) Integrating GIS and remote sensing techniques for urban land-cover land-use analysis. Geocarto Int 10(1):39–49

    Article  Google Scholar 

  16. Kim G (2009) Integrated consideration of quality and quantity to determine regional groundwater monitoring site in South Korea. Water Resour Manage 24(14):4009–4032

    Article  Google Scholar 

  17. Luque SS (2000) Evaluating temporal changes using multi-spectral scanner and thematic mapper data on the landscape of natural reserve; the New Jersey Pine Barrens, a case study. Int J Remote Sens 21(13):2589–2611

    Article  Google Scholar 

  18. Maselk JG, Lindsay FE, Goward SN (2000) Dynamics of urban growth in the Washington DC Metropolitan area, 1973–1996, from Landsat observations. Int J Remote Sens 21(17):3473–3486

    Article  Google Scholar 

  19. Matthess G (1982) The properties of groundwater. Wiley, New York

    Google Scholar 

  20. Mueller TG, Pusuluri NB, Mathias KK, Cornelius PL, Barnhisel RI, Shearer SA (2004) Map quality for ordinary kriging and inverse distance weighted interpolation. Soil Sci Soc Am J 68:2042–2047

    Article  Google Scholar 

  21. Piper AM (1944) A graphic procedure in the chemical interpretation of water analysis. Am Geophys Union Trans 25:914–923

    Google Scholar 

  22. Rasch H (1994) Mapping of vegetation, landcover, and land use by satellite—experience and conclusions for future project applications. Photogramm Eng Remote Sens 60(3):265–271

    Google Scholar 

  23. Rivard C, Michaud Y, Lefebvre R, Deblonde C, Rivera A (2008) Characterization of a regional aquifer system in the Maritimes Basin, Eastern Canada. Water Resour Manage 22:1649–1675

    Article  Google Scholar 

  24. Rogana J, Chen D (2004) Remote sensing technology for mapping and monitoring land-cover and landuse change. Prog Plan 61:301–325

    Article  Google Scholar 

  25. Schoeller H (1965) Qualitative evaluation of groundwater resource. In: Methods and techniques of ground-water investigation and development. UNESCO:54–83

  26. Shanyengana MK, Seely MK, Sanderson RD (2004) Major-ion chemistry and groundwater salinization in ephemeral floodplains in some arid regions of Namibia. J Arid Environ 57:71–83

    Article  Google Scholar 

  27. Soltan ME (1999) Evaluation of groundwater quality in Dakhla Oasis (Egyptian Western Desert). Environ Monit Assess 57:157–168

    Article  Google Scholar 

  28. Subramani T, Elango L, Damodarasamy SR (2005) Groundwater quality and its suitability for drinking and agricultural use in Chithar River Basin, Tamil Nadu, India. J Environ Geol 47:1099–1110

    Article  Google Scholar 

  29. Tabios GQ, Salas JD (1985) A comparative analysis of techniques for spatial interpolation of precipitation. Water Resour Bull 21:365–380

    Google Scholar 

  30. Tomczak M (1998) Spatial interpolation and its uncertainty using automated anisotropic inverse distance weighting (IDW)—cross-validation/Jackknife approach. J Geogr Inf Decis Analysis 2:18–30

    Google Scholar 

  31. Yang X, Lo CP (2002) Using a time series of satellite imagery to detect land use and land cover changes in Atlanta, Georgia metropolitan area. Int J Remote Sens 23(9):1775–1798

    Article  Google Scholar 

  32. Zsuzsanna D, Bartholy J, Pongracz R, Barcza Z (2005) Analysis of land-use/land-cover change in the Carpathian region based on remote sensing techniques. Phys and Chem Earth 30:109–115

    Google Scholar 

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Authors and Affiliations

  1. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Chander Kumar Singh, Satyanarayan Shashtri, Saumitra Mukherjee, Rina Kumari, Amit Singh & Ravi Prakash Singh

  2. Institute of Industrial Sciences, Department of Civil Engineering, The University of Tokyo, Tokyo, Japan

    Ram Avatar

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  1. Chander Kumar Singh
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  2. Satyanarayan Shashtri
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  3. Saumitra Mukherjee
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  4. Rina Kumari
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  5. Ram Avatar
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  6. Amit Singh
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  7. Ravi Prakash Singh
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Correspondence to Saumitra Mukherjee.

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Singh, C.K., Shashtri, S., Mukherjee, S. et al. Application of GWQI to Assess Effect of Land Use Change on Groundwater Quality in Lower Shiwaliks of Punjab: Remote Sensing and GIS Based Approach. Water Resour Manage 25, 1881–1898 (2011). https://doi.org/10.1007/s11269-011-9779-0

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  • DOI: https://doi.org/10.1007/s11269-011-9779-0

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