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Assessing dominant factors affecting soil erosion using a portable rainfall simulator

Assessing dominant factors affecting soil erosion using a portable rainfall simulator

作     者:J.VAHABI D.NIKKAMI 

作者机构:Soil Conservation and Watershed Management Research Institute 

出 版 物:《International Journal of Sediment Research》 (国际泥沙研究(英文版))

年 卷 期:2008年第23卷第4期

页      面:376-386页

核心收录:

学科分类:082802[工学-农业水土工程] 090707[农学-水土保持与荒漠化防治] 0907[农学-林学] 08[工学] 0828[工学-农业工程] 09[农学] 0815[工学-水利工程] 

基  金:Soil Conservation and Watershed Management Research Institute  Tehran  Iran 

主  题:Rainfall simulator Soil erosion Soil physical parameters Vegetation cover Taleghan watershed Iran 

摘      要:Investigating the causes of soil erosion is difficult in natural conditions owing to the presence of other factors. Without simplifying the experimental conditions, studying soil behavior with its numerous parameters while considering factors such as vegetation cover, topography, and rainfall is difficult and in most conditions impossible. The application of simulation approaches is therefore necessary to simplify the prototype. In this research, the effects of physical soil factors such as texture and antecedent soil moisture, along with land slope and vegetation cover were evaluated in the Taleghan watershed, Iran, using a rainfall simulator and soil erosion plots. For this purpose, a 89 × 120 cm rainfall simulator producing 24.5 and 32 mm/h rainfall intensities of 30 min duration, as a common condition of the study area, was used at 144 locations over soil erosion plots with dimensions of 95 × 125 cm. Plots had slope classes of 12–20 and 20–30 %, different soil textures, different antecedent soil moistures, and medium to poor vegetation cover conditions. It was found that for 24.5 and 32 mm/h rainfall intensities, the sediment yield had high correlations of –0.771 and –0.796 with vegetation cover and slight correlations of 0.045 and 0.029 with land slope respectively. Regression equations for predicting the sediment yield were also developed for different conditions.

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