AFRİN KÖPRÜSÜ HAVZASI ÖZELLİKLERİNİN VE EĞRİ SAYISI METODOLOJİSİNİN CBS İLE BELİRLENMESİ

By using remote sensing data, Geographic Information Systems (GIS) provide convenience in determining basin morphology and watershed planning studies. For this aim, the applicability of Arc-GIS software Afrin Bridge Basin by processing Digital Elevation Model (DEM) data hydrological analysis tools parameters (i.e. boundary, variation elevation, drainage area, flow network, slope) were investigated. Additionally, soil Land Use/Land Cover (LULC) maps attained satellite from ORNL-DAAC CORINE with 250-m 100-m spatial resolution, respectively. combining these characteristics, Curve Number (CN) values, required for SCS-CN method used rainfall-driven runoff estimations, are mapped over region. While acquisition soil, LULC, CN stream enables to be evaluated together climatological flood risks hydrographs region can determined.