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Regionalising MUSLE factors for application to a data-scarce catchment

机译:区域内肌肉渗透到数据稀缺集水区的因素

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The estimation of soil loss and sediment transport is important for effective management of catchments. A model for semi-arid catchments in southern Africa has been developed; however, simplification of the model parameters and further testing are required. Soil loss is calculated through the Modified Universal Soil Loss Equation (MUSLE). The aims of the current study were to: (1) regionalise the MUSLE erodibility factors and; (2) perform a sensitivity analysis and validate the soil loss outputs against independently-estimated measures. The regionalisation was developed using Geographic Information Systems (GIS) coverages. The model was applied to a high erosion semi-arid region in the Eastern Cape, South Africa. Sensitivity analysis indicated model outputs to be more sensitive to the vegetation cover factor. The simulated soil loss estimates of 40tha~(-1) yr~(-1) were within the range of estimates by previous studies. The outcome of the present research is a framework for parameter estimation for the MUSLE through regionalisation. This is part of the ongoing development of a model which can estimate soil loss and sediment delivery at broad spatial and temporal scales.
机译:土壤损失和沉积物运输的估计对于有效管理集水区是重要的。开发了南部非洲半干旱集水区的模型;但是,需要简化模型参数和进一步测试。通过改进的通用土壤损失方程(MOTLE)计算土壤损失。目前研究的目的是:(1)区域大小的肌肉腐蚀因素和; (2)对独立估计措施进行敏感性分析并验证土壤损失产出。通过地理信息系统(GIS)覆盖范围开发了区域化。该模型应用于南非东开普省东部的高侵蚀半干旱地区。灵敏度分析表明模型输出对植被覆盖因子更敏感。 40〜(-1)Yr〜(-1)的模拟土壤损失估计在先前研究的估算范围内。本研究的结果是通过区域化的隆隆的参数估计的框架。这是持续发展的模型的一部分,可以估计在宽空间和时间尺度下估计土壤损失和沉积物。

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