Feasibility of artificial recharge in Taibad plain using Analytic Network Process (ANP)

Due to seasonal access and lack of water, appropriate management of water resources is very important in arid and semi-arid regions. One of the main management methods for improves the groundwater resources is artificial recharge. In this study, used the integrated MCDM-GIS approach in order to determine suitable areas for artificial recharge in Taibad plain, Khorasan Razavi province. For this purpose, 11 influential parameters include (slope, groundwater quality, geology, thickness of the alluvium, portability of aquifer, drainage density, surface infiltration, groundwater decline, distance from the village, distance from the well and land use) that were created in GIS. For weight of classes each layer, used paired comparisons method. Also, DEMATEL technique was used to determine the relationships and dependencies between parameters. For determine the net weight of each layer, Super Decision software was used. Finally, zoned maps of the ANP were combined, and the final map with five classes, completely appropriate to unsuitable, was prepared. According to the final map, of the entire area of Taibad plain, 2.9 percent of area was in completely appropriate class, 30.1 percent in appropriate class, 40.3 percent in fairly good class, 1.3 percent in fairly inappropriate class, and 25.4 percent in unsuitable class for spreading operations. The results of the study using Boolean logic and filed survey indicate that the application of decision-making methods in combination with GIS in the field of artificial feeding location is satisfactory.