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Entropy-Based Approach for Assessing Natural Recharge in Unconfined Aquifers from Southern India

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  • N. Mondal
  • V. Singh
  • S. Ahmed

Abstract

An entropy-based approach is developed for assessing natural groundwater recharge in unconfined aquifers from Southern India. The wells are located in weathered zones which exhibit spatial variability in natural recharge. To determine the fractional amount of rainfall (called natural recharge) marginal entropies and transinformation of rainfall and depth to the water table at selected wells are calculated. Then a ratio of transinformation to marginal entropy of rainfall is used as a measure for assessing natural recharge. Calculated natural recharge yields a good agreement with the results of recharge zones obtained using Remote Sensing (RS) and Geographical Information System (GIS) techniques. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • N. Mondal & V. Singh & S. Ahmed, 2012. "Entropy-Based Approach for Assessing Natural Recharge in Unconfined Aquifers from Southern India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2715-2732, July.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:9:p:2715-2732
    DOI: 10.1007/s11269-012-0042-0
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    References listed on IDEAS

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    1. V. Chowdary & D. Ramakrishnan & Y. Srivastava & Vinu Chandran & A. Jeyaram, 2009. "Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1581-1602, June.
    2. Y. Mogheir & J. de Lima & V. Singh, 2009. "Entropy and Multi-Objective Based Approach for Groundwater Quality Monitoring Network Assessment and Redesign," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1603-1620, June.
    3. Darbellay, Georges A & Wuertz, Diethelm, 2000. "The entropy as a tool for analysing statistical dependences in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 429-439.
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    1. Marco Masetti & Daniele Pedretti & Alessandro Sorichetta & Stefania Stevenazzi & Federico Bacci, 2016. "Impact of a Storm-Water Infiltration Basin on the Recharge Dynamics in a Highly Permeable Aquifer," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 149-165, January.

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