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    Fuzzy vulnerability mapping of urban groundwater systems to nitrate contamination

    , Article Environmental Modelling and Software ; Volume 96 , 2017 , Pages 146-157 ; 13648152 (ISSN) Asadi, P ; Hosseini, S. M ; Ataie Ashtiani, B ; Simmons, C. T ; Sharif University of Technology
    Elsevier Ltd  2017
    Abstract
    The aim of this study is to develop a new fuzzy optimization model to find the optimal factor weights of modified DRASTIC index for groundwater vulnerability mapping an urban aquifer to nitrate contamination. Eight factors including water table depth, recharge, aquifer media, soil media, topography, impact of vadose zone, hydraulic conductivity, and land use are considered and rated. A fuzzy linear regression is formulated between the values of eight factors and corresponding nitrate concentration in groundwater. An optimization model based on real code genetic algorithm with objective of minimizing the sum of the fuzzy spread of the regression coefficients is implemented. Aquifer of Mashhad...