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

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

Suggested Citation

  • Chander Singh & Satyanarayan Shashtri & Saumitra Mukherjee & Rina Kumari & Ram Avatar & Amit Singh & Ravi Singh, 2011. "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 Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(7), pages 1881-1898, May.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:7:p:1881-1898
    DOI: 10.1007/s11269-011-9779-0
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    References listed on IDEAS

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    1. Insaf Babiker & Mohamed Mohamed & Tetsuya Hiyama, 2007. "Assessing groundwater quality using GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 699-715, April.
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    1. A. El-Hames & A. Hannachi & M. Al-Ahmadi & N. Al-Amri, 2013. "Groundwater Quality Zonation Assessment using GIS, EOFs and Hierarchical Clustering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2465-2481, May.
    2. M. Albuquerque & G. Sanz & S. Oliveira & R. Martínez-Alegría & I. Antunes, 2013. "Spatio-Temporal Groundwater Vulnerability Assessment - A Coupled Remote Sensing and GIS Approach for Historical Land Cover Reconstruction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4509-4526, October.
    3. M. Chitsazan & N. Aghazadeh & Y. Mirzaee & Y. Golestan, 2019. "Hydrochemical characteristics and the impact of anthropogenic activity on groundwater quality in suburban area of Urmia city, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(1), pages 331-351, February.
    4. V. Gholami & M. R. Khaleghi & S. Pirasteh & Martijn J. Booij, 2022. "Comparison of Self-Organizing Map, Artificial Neural Network, and Co-Active Neuro-Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 451-469, January.
    5. Nguyen Hong Duc & Pankaj Kumar & Pham Phuong Lan & Tonni Agustiono Kurniawan & Khaled Mohamed Khedher & Ali Kharrazi & Osamu Saito & Ram Avtar, 2023. "Hydrochemical indices as a proxy for assessing land-use impacts on water resources: a sustainable management perspective and case study of Can Tho City, Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2573-2615, July.

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