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

Chander Singh, Satyanarayan Shashtri, Saumitra Mukherjee, Rina Kumari, Ram Avatar, Amit Singh and Ravi Singh

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2011, vol. 25, issue 7, 1898 pages

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. Copyright Springer Science+Business Media B.V. 2011

Keywords: GWQI; Shiwaliks; GIS; LULC; Landsat; Groundwater (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/s11269-011-9779-0

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