Flood prone areas mapping by using statistical index and weights of evidence models (Case study: Madar Soo watershed, Golestan)

Subject Areas : Geospatial systems development

Safoura  Siahkamari ¹ (MSc. Student of Watershed Management Engineering, Lorestan University)
Hossein  Zeinivand ² (Assoc. Prof. College of Agriculture, Lorestan University)

Received: 2016-12-06 Accepted : 2017-01-28 Published : 2017-02-19

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Abstract :

The aim of this study is preparation of potential flooding maps in Madar Soo watershed in Golestan province. For this end, the statistical index and weights of evidence models, various data layers and geographic information systems were used. The results of the applied models indicated that, among the effective factors for flooding, the elevation lower than 500m, flat slope, drainage density more than 0.33 (km/km2), distance from river of 500-2000m, malicious soil type, quaternary rocks and agricultural land with the greatest weight, were the most important factors in the Madar Soo watershed. The r