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Comparison of empirical models to estimate soil erosion and sediment yield in micro catchments

机译:估算小流域水土流失和沉积物产量的经验模型比较

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Assessment of sediment yield in soil conservation and watershed Project and implementation plan for water and soil resources management is so important. Regarding to somewhere that doesn't have enough information and statistical data such as upper river br anches, Empirical models should be used to estimate erosion and sediment yield. However the efficiency and usage of these models before calibration isn't clear. In this research, the measurement of erosion and sediment yield of 10 basins upstream of reserv oirshas been estimated by RUSLE and MPSIAC empirical models.In order to compare means between measured and estimated datat - test method was applied.Theresults indicated no significant differences between means of measured and estimated sediment yield in MPS AIC model in 5% level. In contrast, T - test showed contrary results in RUSLE model. Then the applicability and priority of two models were examined by statistical methodssuch as MAE and MBE method s. By regarding to accuracy and precision, MPSIAC model place d in first priorityto estimate soil erosion and sediment yield and has minimum value of MAE=0.79 and MBE = - 0.59.
机译:水土保持流域泥沙产量的评估水土资源管理项目和实施计划非常重要。对于没有足够信息和统计数据的地方(例如上河支行),应使用经验模型来估计侵蚀和沉积物产量。但是,这些模型在校准之前的效率和用途尚不清楚。本研究利用RUSLE和MPSIAC经验模型估算了储集层上游10个盆地的侵蚀和泥沙产量,为了比较实测数据和估算数据的均值-检验方法,结果表明均值之间无显着差异。 MPS AIC模型中测得和估算的泥沙产量的百分比水平为5%。相反,T-检验在RUSLE模型中显示相反的结果。然后通过统计方法(如MAE和MBE方法)检验了两个模型的适用性和优先级。考虑到精度和精度,MPSIAC模型将d评估土壤侵蚀和沉积物产量放在第一位,其MAE = 0.79和MBE =-0.59为最小值。

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