Rainfall- Runoff- Sediment Modelling
The present study aimed to analyze the comprehensive relationships between suspended sediment yield, and rainfall and runoff characteristics on storm basis in Khamsan Representative Watershed with an area of 4193 ha in Kurdistan Province, Iran. In due course, 9 storm events occurred during study period were analyzed 4 of which generated runoff and consequently yielded sediment. Different bivariate regression models were then applied for estimating sediment yield. The results of the analysis verified better performance of linear regression developed based on maximum rainfall intensity with respective determination and efficiency coefficients, and estimation error of 0.843, 0.84 and 39%.
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