A Developed Model for Selecting Optimum Locations of Water Harvesting Dams Using GIS Techniques

An integrated GIS-VBA (Geographical Information System – Visual Basic for Application), model is developed selecting an optimum water harvesting dam location among available locations in a watershed. The proposed allows quick and precise estimation of adopted weighted objective function each selected location. In addition to that location, different height used as nominee selection. VBA includes optimization with beneficiary items (positive) , such the storage allowed by site indicator potential hydroelectric power generation rainfall rate source . (negative) penalty are also included surface area, evaporation rate.In order obtain results, Artificial Neural Network (ANN) was formulated applied correct elevations Digital Elevation Model (DEM) map using real DEM control points.The application tested case study catchment area Diyala Wasit Governorate. file corrected elevations, ANN .This found SPSS software. correlation coefficient this be (0.97) 3- hidden nodes hyperbolic tangent identity activation functions. Different weight scenarios were adopted. results indicate can observed case. Results sometimes equal obtained but has reservoir volume area.