{"title":"基于RUSLE和GIS的上青尼罗盆地Chemoga流域水土保持措施优先排序的土壤侵蚀风险评估","authors":"","doi":"10.33140/eesrr.05.01.09","DOIUrl":null,"url":null,"abstract":"Soil loss by runoff has become series problem in Ethiopian; particularly the northern Ethiopian highlands are among the most seriously affected regions in the country due to highly rugged topography, population pressure, over grazing and cultivation of steep lands and erosive nature of rainfall. Hence, soil erosion risk assessment is critically required for prioritization of soil conservation measures. The main objective of this study is to estimate soil erosion rate and identify hotspot areas of soil erosion to facilitate conservation management practices in Chemoga watershed, Upper Blue Nile Basin, Ethiopia. In this study, RUSLE method was used integrated with GIS technique to estimate soil erosion rate of a watershed and prioritize for soil and water conservation practice. In the study rainfall erosivity factor (R), Length slope factor (LS), soil erodability factor (K), vegetation cover factor (C) and erosion control factor (P) were used as an input to the RUSLE model. The rainfall erosivity factor has been determined from monthly precipitation data. The soil survey data was used to develop the soil erodability factor and the digital elevation model (DEM) of study area was also used to generate topographic factor (LS). The value of cover management factor and support practice factor were obtained from land use land cover map and validated with field observations. The results show that midstream and upstream parts of the watershed is more sensitive to soil erosion than the lower part. In the study, the erosion hazard maps were reclassified for the periodization of the watersheds. Based on the special distribution of the erosion hazards, 4.93% of the watershed area was classified sever soil erosion risk zone (30 up to 50 ton/ha/year) and 4.91% categorized as very sever soil erosion risk zone i.e above 50 ton/ha/year which are situated in the narrowest steep slope parts of the upper catchments of the watershed. These parts of the watersheds were identified as the primary erosion hotspot area which needs immediate attention in terms of management perspective.","PeriodicalId":298809,"journal":{"name":"Earth & Environmental Science Research & Reviews","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil Erosion Risk Assessment for Prioritization of Soil Conservation Measures Using RUSLE Integrated with GIS in Chemoga Watershed, Upper Blue Nile Basin, Ethiopia.\",\"authors\":\"\",\"doi\":\"10.33140/eesrr.05.01.09\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soil loss by runoff has become series problem in Ethiopian; particularly the northern Ethiopian highlands are among the most seriously affected regions in the country due to highly rugged topography, population pressure, over grazing and cultivation of steep lands and erosive nature of rainfall. Hence, soil erosion risk assessment is critically required for prioritization of soil conservation measures. The main objective of this study is to estimate soil erosion rate and identify hotspot areas of soil erosion to facilitate conservation management practices in Chemoga watershed, Upper Blue Nile Basin, Ethiopia. In this study, RUSLE method was used integrated with GIS technique to estimate soil erosion rate of a watershed and prioritize for soil and water conservation practice. In the study rainfall erosivity factor (R), Length slope factor (LS), soil erodability factor (K), vegetation cover factor (C) and erosion control factor (P) were used as an input to the RUSLE model. The rainfall erosivity factor has been determined from monthly precipitation data. The soil survey data was used to develop the soil erodability factor and the digital elevation model (DEM) of study area was also used to generate topographic factor (LS). The value of cover management factor and support practice factor were obtained from land use land cover map and validated with field observations. The results show that midstream and upstream parts of the watershed is more sensitive to soil erosion than the lower part. In the study, the erosion hazard maps were reclassified for the periodization of the watersheds. Based on the special distribution of the erosion hazards, 4.93% of the watershed area was classified sever soil erosion risk zone (30 up to 50 ton/ha/year) and 4.91% categorized as very sever soil erosion risk zone i.e above 50 ton/ha/year which are situated in the narrowest steep slope parts of the upper catchments of the watershed. 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引用次数: 0
摘要
土壤径流流失已成为埃塞俄比亚的一系列问题;特别是埃塞俄比亚北部高地是该国受影响最严重的地区之一,原因是地形崎岖、人口压力、过度放牧和种植陡峭的土地以及降雨的侵蚀性。因此,土壤侵蚀风险评估对土壤保持措施的优先排序至关重要。本研究的主要目的是估算埃塞俄比亚上青尼罗盆地Chemoga流域的土壤侵蚀速率,并确定土壤侵蚀热点区域,以促进水土保持管理实践。本研究将RUSLE方法与GIS技术相结合,估算流域土壤侵蚀速率,并对水土保持实践进行优先排序。本文采用降雨侵蚀力因子(R)、长度坡度因子(LS)、土壤侵蚀力因子(K)、植被覆盖因子(C)和侵蚀控制因子(P)作为RUSLE模型的输入。降雨侵蚀系数是根据月降水资料确定的。利用土壤调查数据开发土壤侵蚀因子,利用研究区数字高程模型(DEM)生成地形因子(LS)。覆盖管理因子和支持实践因子的数值来源于土地利用土地覆盖图,并通过野外观测进行验证。结果表明,流域中上游对土壤侵蚀的敏感性高于下游。在研究中,对侵蚀危害图进行了重新分类,以实现流域的分期。基于侵蚀灾害的特殊分布,4.93%的流域面积被划分为重度土壤侵蚀危险区(30 ~ 50 t /ha/年),4.91%的流域面积被划分为极重度土壤侵蚀危险区(50 t /ha/年以上),这些风险区位于流域上游最窄的陡坡部分。这些流域被确定为主要的侵蚀热点区域,需要在管理方面立即予以关注。
Soil Erosion Risk Assessment for Prioritization of Soil Conservation Measures Using RUSLE Integrated with GIS in Chemoga Watershed, Upper Blue Nile Basin, Ethiopia.
Soil loss by runoff has become series problem in Ethiopian; particularly the northern Ethiopian highlands are among the most seriously affected regions in the country due to highly rugged topography, population pressure, over grazing and cultivation of steep lands and erosive nature of rainfall. Hence, soil erosion risk assessment is critically required for prioritization of soil conservation measures. The main objective of this study is to estimate soil erosion rate and identify hotspot areas of soil erosion to facilitate conservation management practices in Chemoga watershed, Upper Blue Nile Basin, Ethiopia. In this study, RUSLE method was used integrated with GIS technique to estimate soil erosion rate of a watershed and prioritize for soil and water conservation practice. In the study rainfall erosivity factor (R), Length slope factor (LS), soil erodability factor (K), vegetation cover factor (C) and erosion control factor (P) were used as an input to the RUSLE model. The rainfall erosivity factor has been determined from monthly precipitation data. The soil survey data was used to develop the soil erodability factor and the digital elevation model (DEM) of study area was also used to generate topographic factor (LS). The value of cover management factor and support practice factor were obtained from land use land cover map and validated with field observations. The results show that midstream and upstream parts of the watershed is more sensitive to soil erosion than the lower part. In the study, the erosion hazard maps were reclassified for the periodization of the watersheds. Based on the special distribution of the erosion hazards, 4.93% of the watershed area was classified sever soil erosion risk zone (30 up to 50 ton/ha/year) and 4.91% categorized as very sever soil erosion risk zone i.e above 50 ton/ha/year which are situated in the narrowest steep slope parts of the upper catchments of the watershed. These parts of the watersheds were identified as the primary erosion hotspot area which needs immediate attention in terms of management perspective.