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A linear and nonlinear approach for interpretation of groundwater quality based on water quality index

Author

Listed:
  • Prabhata K. Swamee

    (The NorthCap University)

  • Anil Kumar Misra

    (The NorthCap University)

  • Rohith P. Poyil

    (The NorthCap University)

  • Lokesh Choudhary

    (The NorthCap University)

  • Amandeep Kaur

    (National Institute of Technical Teachers Training and Research)

  • Sudheer Chintalapati

    (Regional Office (Southern Zone))

Abstract

In this study using linear and nonlinear approach, aggregate indices for various water quality parameters were analyzed. Using a linear and nonlinear interpolating surface, various water quality variables at grid points were investigated that is essential for mapping. The values help in constituting a key approach for determining the water quality index (WQI), which converts pollutant concentration data into subindex values and then combines them into a single score. One of the biggest advantages of WQI is its summary and intuitive communication capability which will be extremely helpful for demarcating safe aquifer zones of groundwater and in the selection of suitable method for remedial. The present study also describes pollution potential in ground water of Madhya Pradesh, India. The aggregate indices suggest intermediate to high pollution susceptibility in some region of Madhya Pradesh that may increase further if not managed. The overall interpretation of the study will be helpful in formulating suitable approach for water quality interpretation and sustainable planning of groundwater resources.

Suggested Citation

  • Prabhata K. Swamee & Anil Kumar Misra & Rohith P. Poyil & Lokesh Choudhary & Amandeep Kaur & Sudheer Chintalapati, 2018. "A linear and nonlinear approach for interpretation of groundwater quality based on water quality index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(6), pages 2623-2642, December.
    • Handle: RePEc:spr:endesu:v:20:y:2018:i:6:d:10.1007_s10668-017-0008-8
    DOI: 10.1007/s10668-017-0008-8
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    References listed on IDEAS

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    1. David R. Fox, 2014. "Probability weighted indices for improved ecosystem report card scoring," Environmetrics, John Wiley & Sons, Ltd., vol. 25(5), pages 351-360, August.
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