DRASTIC framework improvement using Stepwise Weight Assessment Ratio Analysis (SWARA) and combination of Genetic Algorithm and Entropy.

Environmental Science and Pollution Research International
Maryam TorkashvandHossein Yousefi

Abstract

Hybrid and integrated techniques can be used to investigate intrinsic uncertainties of the overlay and index groundwater vulnerability assessment methods. The development of a robust groundwater vulnerability assessment framework for precise identification of susceptible zones may contribute to more efficient policies and plans for sustainable managements. To achieve an overall view of the groundwater pollution potential, the DRASTIC framework (Depth to the water table, net Recharge, Aquifer media, Soil media, Topography, Impact of the vadose zone, and hydraulic Conductivity) can be used for intrinsic vulnerability assessment. However, the unreliability of this index is because of its inherent drawbacks, including the weight and rating assignment subjectivity. To modify the rating range, this study recommended a new DRASTIC modification using a recently introduced Multi-Criteria Decision-Making (MCDM) method, namely the Stepwise Weight Assessment Ratio Analysis (SWARA); in addition, the Entropy and Genetic Algorithm (GA) methods were employed to alter the relative weights of DRASTIC parameters. To improve the DRASTIC index, nitrate concentration data from 50 observation wells in the study site were used. To assess the models' o...Continue Reading

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Citations

May 8, 2021·Environmental Science and Pollution Research International·Khabat KhosraviAghdas Lotfi
Jun 18, 2021·Environmental Science and Pollution Research International·Jun ZhaoLiang Cheng
Jul 11, 2021·Environmental Science and Pollution Research International·Achraf GhorbalNabil Khélifi
Aug 20, 2021·Environmental Science and Pollution Research International·Balaji LakshminarayananSaravanan Karuppanan
Sep 8, 2021·Environmental Science and Pollution Research International·Yalda Norouzi GharakezlooMehrdad Ghorbani Mooselu

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