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首页> 外文期刊>International Soil and Water Conservation Research >Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas
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Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas

机译：利用RUSLE模型和SCS-CN方法对山坡矿区水土流失估算进行评估

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Mining operations result in the generation of barren land and spoil heaps which are subject to high erosion rate during the rainy season. The present study uses the Revised Universal Soil Loss Equation (RUSLE) and SCS-CN (Soil Conservation Service - Curve Number) process to estimate in Kiruburu and Meghahatuburu mining sites areas. The geospatial model of annual average soil loss rate was determined by integrating environmental variables parameters in a raster pixels-based GIS framework. GIS layers with, rainfall passivity and runoff erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management(C) and conservation practice (P) factors were calculated to determine their effects on annual soil erosion in the study area. The coefficient of determination (r2) was 0.834, which indicates a strong correlation of soil loss with runoff and rainfall. Sub -watersheds 5,9,10 and 2 experienced high level of highly runoff. Average annual soil loss was calculated (30*30 m raster grid cell) to determine the critical soil loss areas (Sub-watershed 9 and 5). Total soil erosion area was classified into five class, slight (10,025 ha), moderate (3125 ha), high (973 ha), very high (260 ha) and severe (53 ha). The resulting map shows greatest soil erosion of >40 t h-1 y-1 (severe) through connection to grassland, degraded and open forestry on the erect mining side-escutcheon. The Landsat pan sharpening image and DGPS survey field data were used in the verification of soil erosion results.
机译：采矿作业导致产生贫瘠的土地和弃土堆，在雨季，这些土地容易遭受高侵蚀。本研究使用经修订的通用土壤流失方程（RUSLE）和SCS-CN（土壤保护服务-曲线数）过程来估计Kiruburu和Meghahatuburu矿区。通过将环境变量参数整合到基于栅格像素的GIS框架中，确定了年平均土壤流失率的地理空间模型。计算了GIS图层，包括降雨被动性和径流侵蚀性（R），土壤易蚀性（K），坡长和陡度（LS），覆盖率管理（C）和保护措施（P）要素，以确定它们对黄土高原年土壤侵蚀的影响。学习区。测定系数（r 2 ）为0.834，表明土壤流失与径流和降雨之间有很强的相关性。次流域5、9、10和2经历了高水平的高径流。计算了年平均土壤流失量（30 * 30 m栅格网格），以确定临界土壤流失面积（分水岭9和5）。土壤侵蚀总面积分为五类：轻度（10025公顷），中度（3125公顷），高（973公顷），极高（260公顷）和严重（53公顷）。生成的地图显示，通过与草地相连，在直立的采掘眼罩上退化和开阔的林业，土壤侵蚀最大> 40 t h-1 y-1（严重）。用Landsat锅锐化图像和DGPS调查现场数据来验证土壤侵蚀结果。

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