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Development of entropy-based model for pollution risk assessment of hydrogeological system

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Abstract

This article is an attempt to develop an entropy-based model for risk assessment of hydrogeological system which is a measure of uncertainty contained in diverse systems, i.e., meteorological (precipitation), hydrogeological (depth to water table), and hydrochemical (total dissolved solids) parameters. Results of the entropy-based model at the limited well sites of the experimental area in granitic aquifer show that interaction entropy varies from 0.725 to 1.092 bits under negligible and low-risk zones whereas it is 1.361 bits in the high-risk prone area. Thus, the risk zones are deduced with the help of interaction entropy, which has shown similar results obtained from the DRASTIC model. The importance of this model is in assessing the degrees of hydrogeological vulnerability where the seven DRASTIC parameters could be replaced by only these three parameters. It may facilitate in selecting suitable areas of waste landfill sites for future.

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Acknowledgements

Dr. V.M. Tiwari, Director of Council of Scientific & Industrial Research-National Geophysical Research Institute (CSIR-NGRI), Hyderabad has accorded to publish this article, which has partially been funded by the CSIR-NGRI In-House Project [MLP 6407-28(KS)]. The anonymous reviewers have suggested their constructive comments to improve the article. The authors acknowledge all of them.

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Authors and Affiliations

  1. Earth Process Modeling Group, CSIR-National Geophysical Research Institute, Hyderabad, Telangana, India

    N. C. Mondal

  2. Rural Water Supply & Sanitation, Mahbubnagar, Telangana, India

    S. Adike

  3. Electrical Geophysics Group, CSIR-National Geophysical Research Institute, Hyderabad, Telangana, India

    S. Ahmed

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  1. N. C. Mondal
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  2. S. Adike
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Correspondence to N. C. Mondal.

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Mondal, N.C., Adike, S. & Ahmed, S. Development of entropy-based model for pollution risk assessment of hydrogeological system. Arab J Geosci 11, 375 (2018). https://doi.org/10.1007/s12517-018-3721-1

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