GIS Based Fuzzy Logic Approach for Identification of Groundwater Artificial Recharge Site

Mostafa Moradi Dashtpagerdi, Hassan Vagharfard, Afshin Honarbakhsh, A. Khoorani

Faculty of Natural Resources and Earth Sciences, University of ShahreKord, ShahreKord, Iran.
Faculty of Natural Resources, Hormozgan University, Bandarabbas, Iran.
Graduated Watershed Management, Organization of Natural Resources and Watershed Management.

DOI: 10.4236/ojg.2013.36043                

Abstract

In recent decades population increasing and development of agriculture and also being mountainous and climatic characteristics of Sefieddasht plain and also nonuniform distribution of rainfall in study area have led to irregular use of groundwater resources in study area. This issue has led to critical condition of groundwater resources in Sefieddasht plain. This research was carried out to determine the suitable areas for artificial recharge in Sefieddasht plain. Four factors namely, alluvial quality, alluvial thickness, slope, and infiltration rate parameters were explored and maps produced and classified using GIS. Fuzzy logic model was used to determine the suitable areas for artificial recharge. Finally land use maps were used as a filter. Based on results 4.12% of region was recognized as suitable area for artificial recharge.

Keywords

Feasibility; Artificial Recharge; Sefieddasht Plain; Fuzzy Logic

Conflicts of Interest

The authors declare no conflicts of interest.

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