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Effect of cover management factor in quantification of soil loss: case study of Sungai Akah subwatershed, Baram River basin Sarawak, Malaysia

机译:覆盖管理因子在土壤损失量化中的影响:余志动县秋天,马来西亚巴姆河盆河

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The present study evaluates the effectiveness and suitability of cover management factors (C factor) generated through different techniques like land use/land cover-based arbitrary value (C-LULC), Normalised Different Vegetation Index-based methods C-NDVI1 and C-NDVI2 and Modified Soil Adjusted Vegetation Index 2-based method (C-MSAVI2). The C factors generated using these four methods were tested in the calculation and assessment of annual average soil loss from an upland forested subwatershed in the Baram river basin using the Revised Universal Soil Loss Equation (RUSLE). The four cover management factor maps generated by this analysis show some variation among the results. The LULC method uses a single arbitrary value for each LULC type mapped in the subwatershed. The other three methods show a range of C values within each mapped LULC type. The effects of these variations were tested in the RUSLE by keeping the factors such as rainfall erosivity (R), soil erodibility (K), slope-length and steepness (LS) constant. The maximum annual average soil loss is 1191 t. ha(-1). y(-1) based on the C-LULC. Soil losses estimated with other three methods are very different compared to those estimated with the C-LULC method. The highest calculated soil loss values were 1832, 1674 and 1608 t. ha(-1). y(-1) in the study area based, respectively, on C-NDVI1, C-NDVI2 and C-MSAVI2 C factors. These maximum values represent the worst pixel scenario values of soil loss in the region. The statistical analysis performed indicates different relationship between the parameters and suggests the acceptance of the methodology based on C-NDVI2 for the study area, instead of a single value method such as C-LULC. Among the other two methods, the C-MSAVI2 was found to be more consistent than the C-NDVI1 method, but both methods lead to over-prediction of annual soil loss rate and therefore need to be reconsidered before applied in the RUSLE.
机译:本研究评估了通过不同技术产生的覆盖管理因素(C因子)的有效性和适用性,如土地使用/陆地覆盖的任意值(C-LULC),归一化不同植被指数的方法C-NDVI1和C-NDVI2并改性土壤调整后植被指数2的方法(C-MSAVI2)。使用这四种方法产生的C因素在使用修订后的通用土壤丢失方程(风险列表)的Baram River盆地中旱地森林底浇口的年平均土壤损失计算和评估。该分析产生的四个封面管理因素地图在结果中显示了一些变化。 LULC方法对映射在子浇注中的每个LULC类型的单个任意值。另外三种方法在每个映射的LULC类型内显示了一系列C值。通过保持降雨侵蚀性(R),土壤易用(K),斜率和陡度(LS)恒定的因素,在风险中测试这些变化的影响。最高年度平均土壤损失是1191吨。哈(-1)。 Y(-1)基于C-LULC。与其他三种方法估计的土壤损失相比,与C-Lulc方法估计的方法非常不同。计算的土壤损失值最高为1832,1674和1608吨。哈(-1)。 Y(-1)在研究区域,分别基于C-NDVI1,C-NDVI2和C-MSAVI2 C因子。这些最大值表示该地区土壤损失的最差像素场景值。所执行的统计分析表明参数之间的不同关系,并提出了基于C-NDVI2对研究区域的方法的接受,而不是单个值方法,例如C-Lulc。在另外两种方法中,发现C-MSAVI2比C-NDVI1方法更加一致,但两种方法导致过度预测年度土壤损失率,因此需要在施用风险中进行重新考虑。

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