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:: Volume 13, Issue 44 (3-2019) ::
jwmseir 2019, 13(44): 17-27 Back to browse issues page
Development of an Improved Fuzzy Approach to Model Potential Sites for Groundwater Artificial Recharge
Behnoush Farokhzadeh * , Mehranghiz Folladi , Mahyar Yousefi
Abstract:   (4160 Views)

Delineation of potential sites for groundwater artificial recharge is an important and challenging task. The purpose of this research is to develop a new data-driven fuzzy approach to model potential sites for groundwater artificial recharge. To achieve this end, the efficient criteria of a proper site for groundwater artificial recharge were first recognized and presented as a conceptual model. Then, different evidence layers were analyzed and weighted by using logistic function in a geographic information system. Finally, the weighted evidence layers were integrated using fuzzy gamma operator to define potential areas. This is the first time of generating continuous-weighted evidence layers without using expert judgments and without simplification and classification of evidence data. Application of the proposed method in a real data set of Hamedan-Bahar catchment basin demonstrated that it can efficiently be used to delimit the study area and to recognize targets for further field evaluations.
 

Keywords: Logistic function, Data-driven fuzzy, Modeling Potential sites, artificial recharge, Groundwater
Full-Text [PDF 1213 kb]   (46 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/11/7 | Accepted: 2018/12/4 | Published: 2019/11/4
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farokhzadeh B, Folladi M, Yousefi M. Development of an Improved Fuzzy Approach to Model Potential Sites for Groundwater Artificial Recharge. jwmseir 2019; 13 (44) :17-27
URL: http://jwmsei.ir/article-1-683-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 44 (3-2019) Back to browse issues page
مجله علوم ومهندسی آبخیزداری ایران Iranian Journal of Watershed Management Science and Engineering
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