Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria.

摘要: Abstract Assessment of watershed health and prioritization sub-watersheds are needed to allocate natural resources efficiently manage watersheds. Characterization spatial in data scarce regions helps better comprehend real conditions design implement management strategies. Previous studies on the assessment ungauged have not considered environmental factors their inter-relationship. In this regard, fuzzy logic theory can be employed improve health. The present study a combination climate vulnerability (Climate Water Balance), relative erosion rate surficial rocks, slope weighted K-factor, topographic indices, thirteen morphometric characteristics (linear, areal, relief aspects), potential non-point source pollution assess health, using new framework which considers complex linkage between human activities resources. framework, focusing score (WHS), was for 31 Khoy watershed, West Azerbaijan Province, Iran. an analytical network process (ANP) were used investigate inter-relationships above mentioned geo-environmental classify rank each sub-watershed four classes. Results demonstrated that only one (C15) fell into class defined as ‘a potentially critical zone’. This article provides practical recommendations agencies with high level assurance when there is lack reliable hydrometric gauge data.