首页> 外文期刊>Journal of Environment and Earth Science >Modeling of Soil Loss and Identification of Erosion Hot Spot Areas Using RUSLE Integrated with GIS for Appropriate Conservation Practices in Muga Watershed, Highlands of Ethiopia
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Modeling of Soil Loss and Identification of Erosion Hot Spot Areas Using RUSLE Integrated with GIS for Appropriate Conservation Practices in Muga Watershed, Highlands of Ethiopia

机译:埃塞俄比亚高地穆达姆水域对土壤丧失和侵蚀热点区域土壤丧失和腐蚀热点地区的识别

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Over cultivation, deforestation and free grazing are major factors facilitating soil erosion. Nowadays; in lower parts of Muga watershed soil erosion become as a continuous environmental problem. In this study an attempt has been made to modeling soil loss and identify the most erosion sensitive areas by using Revised Universal Soil Loss Equation integrated with GIS and remote sensing techniques for planning appropriate conservation measures in Muga watershed. The annual soil loss amount was estimated by using the Revised Universal Soil Loss Equation (RUSLE). Digital Elevation Model, digital soil map, thirty years rainfall records of six stations, and land cover data (Landsat images) were used to develop RUSLE soil loss variables. The annual soil loss rate from the catchment were estimated by integrating RUSLE parameters using raster calculator tool. The annual soil loss rate varies between 0.02 ton/ha/yr and 41.789 ton/ha/yr. The total annual soil loss in the watershed was 59751.41 tones, of these, 12806.15 tons were lost from 371.19 km 2 , 26562.44 tons from 214.30 km 2 , 15300.94 tons from 50.52 km 2 , 4059.05 tons from 4.61 km 2 , and 1022.83 tons from 0.37 km 2 of land per year. The rate of soil eroion was high in the lower part of the watershed. Slope gradient and length factor was the main factor for soil erosion increment followed by Support Practice (P) factor. As result of soil erosion cross tabulation; steep slopes, Rendzic leptosols and dominantly cultivated areas were detected as very severe erosivity. Therefore, the lower parts of the study needs to undertake effective soil and water conservation practices.
机译:过度培养,森林砍伐和自由放牧是促进土壤侵蚀的主要因素。如今;在穆巴流域的下部侵蚀成为持续的环境问题。在这项研究中,通过使用与GIS和遥感技术一体化的修正通用土壤损失方程进行了建模土壤损失并确定最腐蚀敏感区域,以规划Muga流域的适当保护措施。通过使用修订的通用土壤损失方程(风险)估计年度土壤损失金额。数字海拔模型,数字土壤图,三十年的降雨记录,六个站,土地覆盖数据(Landsat图像)用于开发风险土壤损失变量。通过使用光栅计算器工具整合风险参数来估算来自集水器的年度土壤损失率。年土壤损失率在0.02吨/公顷/毫升和41.789吨/公顷/年之间变化。分水岭的年度土壤损失总数为59751.41强调,其中12806.15吨损失从371.19公里2,214.30公里2,50.52公里2,4059.05吨,4059.05吨从4.61公里到0.37每年土地2公里。流域下部的土壤流离子率很高。坡度梯度和长度因子是土壤侵蚀增量的主要因素,然后是支持实践(P)因子。由于土壤腐蚀交叉制表的结果;陡峭的斜坡,Rendzic Leptosols和主要栽培区域被检测为非常严重的侵蚀性。因此,研究的下部需要进行有效的土壤和水保护实践。

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