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• W2168220659 abstract "Summary Prediction of storm wise soil erosion and sediment yield is very important, especially in arid and semiarid regions due to small numbers and high intensity of rainfall. Sometimes inappropriate use of the model causes very high or low estimate. However, evaluation of soil erosion by existing models is needed as an important tool for managerial purposes in designation proper water and soil conservation technique. Th e present study aimed to assess the applicability of Hillslope Erosion Model (HEM) as one of the newest erosion models for prediction of storm-wise sediment yield in Khosbijan Research Center with dryland treatment by using soil erosion standard plots. In order to run the model, runoff depth, vegetation cover density, land surface cover, soil texture, slope steepness and length were determined for 16 storm events. Th e results showed that the uncalibrated HEM didn’t simulate the observed sediment yields, properly. Calibration of soil erodibility parameter between 0.2 – 1 and developing regression between observed and estimated data indicated that the model could successfully predict the soil erosion rate with determination coeffi cient of 0.91. Th ese fi ndings indicate that calibration of erodibility factor and regression between observed and estimated could improve storm-wise sediment yield prediction using" @default.
• W2168220659 created "2016-06-24" @default.
• W2168220659 creator A5039050342 @default.
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• W2168220659 date "2014-09-17" @default.
• W2168220659 modified "2023-09-26" @default.
• W2168220659 title "Prediction of Storm-Wise Soil Erosion in Dryland Farming using a Hillslope Erosion Model" @default.
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• W2168220659 hasPublicationYear "2014" @default.
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