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Information Journal Paper

Title

Identifying the susceptible area of Malikan plain aquifer to contamination using Fuzzy methods

Pages

  205-221

Abstract

 Introduction contamination in these resources, and these resources may not be used. Groundwater management, especially in dry regions such as Iran, is essential and this concern becomes further with development of agriculture, industry, population growth and climate changes affecting the quality and quantity of groundwater resources. Hence, groundwater contamination can treat the human health. One of the ways to prevent of groundwater contamination is identifying the vulnerable area of aquifers and management of land use. The assessment of groundwater vulnerability maps requires the application of methods and techniques, based on the hydrogeological knowledge of the region under. Several methods have been devised to vulnerability mapping. Groundwater resources in the Malikan region strongly affected by nitrate fertilizers leachates, due to the presence of grape gardens and intensive agriculture. So in this area, identifying the vulnerable area with the proper method is very important. In this study, improved DRASTIC methods using Fuzzy logic and Catastrophe theory were used to vulnerability assessment of Malikan plain aquifer...

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  • Cite

    APA: Copy

    NOROUZI, HOSSEIN, NADIRI, ATA ALLAH, & Asghari Mogaddam, Asghar. (2018). Identifying the susceptible area of Malikan plain aquifer to contamination using Fuzzy methods. JOURNAL OF ENVIRONMENTAL STUDIES, 44(2 ), 205-221. SID. https://sid.ir/paper/3185/en

    Vancouver: Copy

    NOROUZI HOSSEIN, NADIRI ATA ALLAH, Asghari Mogaddam Asghar. Identifying the susceptible area of Malikan plain aquifer to contamination using Fuzzy methods. JOURNAL OF ENVIRONMENTAL STUDIES[Internet]. 2018;44(2 ):205-221. Available from: https://sid.ir/paper/3185/en

    IEEE: Copy

    HOSSEIN NOROUZI, ATA ALLAH NADIRI, and Asghar Asghari Mogaddam, “Identifying the susceptible area of Malikan plain aquifer to contamination using Fuzzy methods,” JOURNAL OF ENVIRONMENTAL STUDIES, vol. 44, no. 2 , pp. 205–221, 2018, [Online]. Available: https://sid.ir/paper/3185/en

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