University of Tehran Press Journal of Ecohydrology 2423-6098 6 1 2019 03 21 Optimization of the DRASTIC and SINTACS Models in Assessing the Vulnerability of the Shabestar Plain Aquifer Optimization of the DRASTIC and SINTACS Models in Assessing the Vulnerability of the Shabestar Plain Aquifer 77 88 70172 10.22059/ije.2018.264421.940 FA Fatemeh Kadkhodaie MSc. Student in Hydrogeology, Faculty of Natural Sciences, University of Tabriz Asghar Asghari Moghaddam Professor in Hydrogeology, Faculty of Natural Sciences, University of Tabriz Rahim Barzegar Ph.D. Student in Hydrogeology, Faculty of Natural Sciences, University of Tabriz Maryam Gharekhani Ph.D. Student in Hydrogeology, Faculty of Natural Sciences, University of Tabriz Journal Article 2018 08 23 Shabestar plain is an active agricultural area and the utilization of groundwater resources is extremely important due to the shortage of surfaces water resources. Increasing of population and technological and agricultural activities possibly causes the aquifer contamination in this area. Therefore, assessing the groundwater vulnerability of this aquifer will be very useful for development, management and land use decisions, to monitoring of the groundwater resources quality and preventing the contaminations of groundwater resources. In this study DRASTIC and SINTACS methods were used to assess the vulnerability of the Shabestan plain aquifer. Considering that the ratings and weights of the DRASTIC and SINTACS models are somewhat expertly Wilcoxon rank-sum test (WRST) method was used to improve the ratings in both the models and in order to optimize weights, simple statistical (SS) and genetic algorithm(GA) methods were used. Finally, the optimized WRST-SS-DRASTIC, WRST-GA-DRASTIC, WRST-SS-SINTACS, WRST-GA-SINTACS models were made. In all optimization models, the determination coefficient between the nitrate concentration and the vulnerability index was increased relative to the original model. The higher determination coefficient of the WRST-GA-SINTACS model than other optimized models represents the better performance of this optimized model in the study area. Shabestar plain is an active agricultural area and the utilization of groundwater resources is extremely important due to the shortage of surfaces water resources. Increasing of population and technological and agricultural activities possibly causes the aquifer contamination in this area. Therefore, assessing the groundwater vulnerability of this aquifer will be very useful for development, management and land use decisions, to monitoring of the groundwater resources quality and preventing the contaminations of groundwater resources. In this study DRASTIC and SINTACS methods were used to assess the vulnerability of the Shabestan plain aquifer. Considering that the ratings and weights of the DRASTIC and SINTACS models are somewhat expertly Wilcoxon rank-sum test (WRST) method was used to improve the ratings in both the models and in order to optimize weights, simple statistical (SS) and genetic algorithm(GA) methods were used. Finally, the optimized WRST-SS-DRASTIC, WRST-GA-DRASTIC, WRST-SS-SINTACS, WRST-GA-SINTACS models were made. In all optimization models, the determination coefficient between the nitrate concentration and the vulnerability index was increased relative to the original model. The higher determination coefficient of the WRST-GA-SINTACS model than other optimized models represents the better performance of this optimized model in the study area. https://ije.ut.ac.ir/article_70172_1a16eaaf8df5adc97aba25b92cd8484d.pdf