M. Moradi, H. Vagharfard, A. Khorani and V. Mahmoodinejad, “Interpolation Methods in Evaluation of Groundwater Salinity Zonation Using Cross-Validation Technique Case Study: Lowland Shahrekord,” Iranian Remote Sensing & GIS Journal, Vol. 3, No. 1, 2011, pp. 34-44.

has been cited by the following article:

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

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

  KEYWORDS: Feasibility; Artificial Recharge; Sefieddasht Plain; Fuzzy Logic

  JOURNAL NAME: Open Journal of Geology, Vol.3 No.6, October 29, 2013

  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.