Water Harvesting in the Garmian Region (Kurdistan, Iraq) Using GIS and Remote Sensing

Rainwater harvesting (RWH) is one of the essential alternative sources water that may be used. However, finding potential RWH locations on a broad scale has always been challenging, requiring further research. The effectiveness structures depends their design and selection suitable sites. This study aimed to select sites for rainwater in Garmian region Kurdistan-Iraq, using GIS Remote Sensing (RS) techniques. Two multicriteria analysis (MCA) techniques: analytical hierarchal process (AHP) Fuzzy (FAHP) were used comparison purposes identify A suitability map systems was then generated following weighted linear combination (WLC) Gamma methods. outcomes showed that, unlike most recent studies, which relied minimum maximum local rainfall values, agreed-upon depth should as benchmark when classifying obtain realistic results. findings also 9.7%, 43.4%, 33.6%, 13.3% have very high, moderate, low harvesting, respectively, depending produced by WLC method. outcome technique appeared more revealed 10.6%, 15.6%, 26.6%, 21.9%, 25.3% low, appropriateness respectively. methods adopted this can helpful researchers field achieve reliable Also, study’s assist well-organized resource management planning ensure sustainable development region.