University of Tehran Press Iranian Journal of Soil and Water Research 2008-479X 47 2 2016 07 22 Implementation of Shannon Entropy Method to Determine Areas Suitable for Artificial ground water recharge Case Study: Sarkhoon Plain Implementation of Shannon Entropy Method to Determine Areas Suitable for Artificial ground water recharge Case Study: Sarkhoon Plain 247 258 58331 10.22059/ijswr.2016.58331 FA Mohammad Kamangar Firoozeh Ghaderi Peymani Karami Journal Article 2015 04 07 Artificial recharge of groundwater plays a pivotal role in the sustainable management of these resources. Sarkhoon plain in Hormozgan was carried out using geographic information system and combining it with the Shannon entropy and a pair-wise comparison test. For this purpose, 9 affecting elements of, water quality, water depth, permeability coefficient, thickness of alluvium, land use, transfer capability, land morphology and drainage density were selected and prepared. Then using entropy method and pair-wise comparisons, the weight of each standard and the classes of each layer were calculated. Next, the areas with constraint for flood spreading are removed and finally the entire area was divided and zoned into four classes using GIS analytical functions and Jencks algorithm. Results showed that drainage density factor weighing 0.211 is the most important factor for locating flood spreading in Sorkhun plain. Areas suited for flood spreading are frequently located at the morphological units of alluvial fan in the north part of the plain, with slopes of less than three percent, and allocated approximately 17.70% of the plain. Evaluate the results by comparing the successful implementation projects in the region was 78 percent overlap model can lead to weight each criterion in considering the impact of the uncertainty, Which can enhance the accuracy of the model output. Artificial recharge of groundwater plays a pivotal role in the sustainable management of these resources. Sarkhoon plain in Hormozgan was carried out using geographic information system and combining it with the Shannon entropy and a pair-wise comparison test. For this purpose, 9 affecting elements of, water quality, water depth, permeability coefficient, thickness of alluvium, land use, transfer capability, land morphology and drainage density were selected and prepared. Then using entropy method and pair-wise comparisons, the weight of each standard and the classes of each layer were calculated. Next, the areas with constraint for flood spreading are removed and finally the entire area was divided and zoned into four classes using GIS analytical functions and Jencks algorithm. Results showed that drainage density factor weighing 0.211 is the most important factor for locating flood spreading in Sorkhun plain. Areas suited for flood spreading are frequently located at the morphological units of alluvial fan in the north part of the plain, with slopes of less than three percent, and allocated approximately 17.70% of the plain. Evaluate the results by comparing the successful implementation projects in the region was 78 percent overlap model can lead to weight each criterion in considering the impact of the uncertainty, Which can enhance the accuracy of the model output. https://ijswr.ut.ac.ir/article_58331_56c9243109dedff54bfb324d97ac7087.pdf