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首页> 外文期刊>Journal of Hydrology >A new approach to estimate cover-management factor of RUSLE and validation of RUSLE model in the watershed of Kartalkaya Dam
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A new approach to estimate cover-management factor of RUSLE and validation of RUSLE model in the watershed of Kartalkaya Dam

机译：Kartalkaya大坝流域估算RUSLE覆盖率的新方法和RUSLE模型的验证

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RUSLE is one of the most widely used soil erosion model worldwide. However, some of the input parameters of RUSLE may require extensive field and laboratory studies, and therefore in most of the cases these parameters are estimated according to some alternative approaches. In this context, cover-management factor (C) has significant importance since it is the most influential factor due to its effect on result, besides; there are some doubts about the alternative approaches which are used to estimate the C factor. Moreover, although plenty of RUSLE applications in different areas are conducted in Turkey, any comprehensive study regarding the validation of obtained RUSLE results according to specific conditions is lacking. In this study, the drainage basin of the reservoir of Kartalkaya Dam which is in the south eastern part of Turkey was chosen as the study area, and the average annual eroded material was identified though RUSLE. For the mentioned reservoir area, the availability of bathymetry measurements for 30 years time span between 1975-2005, provide the appropriate conditions to validate the results of the model since the deposited sediment volume could be quantified. Therefore, after the identification of the average annual eroded material for the sub-basins, SEDD model was applied in order to reveal the annual transported sediment amount within each sub-basin of the study area. The results obtained from the SEDD model were compared with the bathymetry measurements of the reservoir. In this context, the first objective of this study is to propose a new approach to estimate the C factor by using remote sensing and GIS techniques with previous studies based on experimental studies conducted on field. The second objective of the study is to estimate RUSLE parameters by using available datasets and to examine the applicability of the method on other basins in Turkey with same datasets. The third objective of the study is to estimate the transported sediment amount by using SEDD model, and by comparing its result with the bathymetry measurements of the reservoir to make a validation of both RUSLE and SEDD models. (C) 2015 Elsevier B.V. All rights reserved.
机译：RUSLE是全球使用最广泛的土壤侵蚀模型之一。但是，RUSLE的某些输入参数可能需要广泛的现场和实验室研究，因此，在大多数情况下，这些参数是根据某些替代方法估算的。在这种情况下，封面管理因素（C）具有重要意义，因为它对结果有影响，因此是最有影响力的因素。对于用于估算C因子的替代方法存在一些疑问。此外，尽管土耳其在不同地区进行了大量的RUSLE应用，但缺乏根据特定条件对获得的RUSLE结果进行验证的全面研究。在本研究中，选择土耳其东南部的Kartalkaya大坝水库的流域作为研究区域，并通过RUSLE确定了年平均侵蚀物质。对于所提到的水库区域，1975年至2005年之间30年时间跨度的水深测量结果的可用性为验证模型结果提供了适当的条件，因为可以对沉积的沉积物量进行量化。因此，在确定了各子流域的年平均侵蚀物质后，采用SEDD模型以揭示研究区域各子流域内的年输沙量。从SEDD模型获得的结果与储层的测深法进行了比较。在这种情况下，本研究的第一个目标是提出一种新方法，通过基于遥感和GIS技术的现场实验研究来估算C因子。该研究的第二个目标是通过使用可用的数据集估算RUSLE参数，并检验该方法在土耳其其他具有相同数据集的盆地中的适用性。该研究的第三个目标是通过使用SEDD模型来估计输送的泥沙量，并将其结果与水库的水深测量结果进行比较，从而对RUSLE和SEDD模型进行验证。 （C）2015 Elsevier B.V.保留所有权利。

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