Artificial recharge of aquifers using flood spreading method is a way to increase the groundwater volume and decrease the trend of water table depletion. The most important step in the implementation of flood spreading is the identification of suitable zones. Hence, geographic information system (GIS) and integration methods consist of Boolean logic, fuzzy logic, and overlay index were used to identify the most suitable zones for flood spreading with the aim of artificial recharge of the Sarkhoon plain of Bandar - Abbas. Firstly, five effective factors including surface permeability, slope, alluvium thickness, the ability to water convey in the alluvium and the salinity of water were prepared in ArcGIS software environment. Then, the weights of the layers were determined using the mentioned methods. The comparison of the weighting methods was accomplished using the Kappa statistic, based on the comparison of projected layers with ground control points. According to results, Boolean logic, overlay index, and fuzzy logic respectively projected 34.4%, 35.8%, and 71.4% of the study area as suitable for flood spreading without the constraint of land us. By the use of land use constraint these areas decrease to 21.9%, 26.7%, and 45.66%, respectively. Totally, fuzzy logic with the highest similarity and the highest Kappa statistic was identified as the best method.
Bazrafshan O, Oliaei M, Gholami H. Comparison of integration methods to identify the suitable areas for flood spreading in coastal plains of the southern Iran (Case Study: Sarkhoon Plain, Hormozgan province). Journal of Rainwater Catchment Systems 2017; 4 (4) :43-56 URL: http://jircsa.ir/article-1-195-en.html
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