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Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (southern Italy)

机译:使用修订后的通用土壤流失方程(RUSLE)在西西里岛(意大利南部)的流域尺度上的土壤侵蚀预测

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Soil erosion by water is a serious problem in southern Italy, particularly in Sicily which is one of the Italian administrative regions prone to desertification. Soil erosion not only affects soil quality, in terms of agricultural productivity, but also reduces the availability of water in reservoirs. This study was conducted in the Comunelli catchment in south-central Sicily, to predict potential annual soil loss using the revised universal soil loss equation (RUSLE) and to test the reliability of this methodology to predict reservoirs siltation. The RUSLE factors were calculated for the catchment using survey data and rain gauge measurement data. The R-factor was calculated from daily, monthly and annual precipitation data. The K-factor was calculated from soil samples collected in May and November 2004. The LS topographic factor was calculated from a 20 m digital elevation model. The C-and P-factors, in absence of detailed data, were set to 1. The results were compared with those obtained from another soil loss estimation method based on ~(137)Cs and with the soil loss estimated from the sediment volume stored in the Comunelli reservoir between 1968 and 2004.
机译:在意大利南部,水土流失是一个严重的问题,特别是在意大利容易发生沙漠化的行政区域之一的西西里岛。水土流失不仅影响农业生产率的土壤质量,而且还会降低水库的水利用率。这项研究是在西西里中南部的Comunelli流域进行的,目的是使用修订后的通用土壤流失方程(RUSLE)预测潜在的年度土壤流失,并检验该方法预测储层淤积的可靠性。使用调查数据和雨量计测量数据为流域计算了RUSLE因子。 R因子是根据每日,每月和每年的降水量数据计算得出的。 K因子是根据2004年5月和2004年11月收集的土壤样品计算得出的。LS地形因子是根据20 m数字高程模型计算得出的。在没有详细数据的情况下,将C因子和P因子设置为1。将结果与从另一种基于〜(137)Cs的土壤流失估算方法获得的结果以及从存储的泥沙量估算出的土壤损失进行比较1968年至2004年之间在Comunelli水库中。

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