Soil erosion assessment using RUSLE model in the Congo Nile Ridge region of Rwanda

Soil erosion assessment using RUSLE model in the Congo Nile Ridge region of Rwanda
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DOI:
10.1080/02723646.2018.1541706
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发表时间:
2018-11
期刊:
影响因子:
1.6
通讯作者:
E. M. Nyesheja;Xi Chen;A. EL-TANTAWI;Fidele Karamage;Christophe Mupenzi;J. Nsengiyumva
E. M. Nyesheja;Xi Chen;A. EL-TANTAWI;Fidele Karamage;Christophe Mupenzi;J. Nsengiyumva
中科院分区:
地球科学4区
文献类型:
--
作者:
E. M. Nyesheja;Xi Chen;A. EL-TANTAWI;Fidele Karamage;Christophe Mupenzi;J. Nsengiyumva

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摘要本研究评估了卢旺达刚果尼罗岭地区的土壤侵蚀威胁。这项研究通过应用修订的全球土壤侵蚀模型(RUSLE)和空间数据来预测侵蚀,其中包含五个因素(降雨、土壤、地形、覆盖管理和支持措施)。约85.5%的调查区域易受侵蚀,不可持续的平均土壤流失率为1t/ha/年。研究结果强调,易受侵蚀区域的平均土壤流失率估计为63.62吨/公顷/年,导致2016年预计的年土壤流失量约为44×106吨。除鲁巴武地区外,其余地区坡度陡峭(30.4%~36.1%),年降雨量高(1199~1484 mm/年)。超过88.8%的农田的平均土壤流失率为1吨/公顷/年。分析表明,梯田种植和条带种植都具有减少农田土壤流失率的潜力,分别为64.4%和10.4%。这项研究的结果将作为研究地区和整个卢旺达减少土壤侵蚀和土地利用规划的基线。
ABSTRACT This research assessed the soil erosion threat in the Congo Nile Ridge Region of Rwanda. The study forecasted erosion by applying the Revised Universal Soil Erosion (RUSLE) with five factors (rainfall, soil, topography, cover management, and support practices) and spatial data. About 85.5% of the area under investigation was predisposed to erosion with unsustainable average soil loss rates of > 1 t/ha/yr. The outcomes of the research highlighted that the average rate of estimated soil loss in the region prone to erosion was > 63.62 t/ha/yr, resulting in an overall annual predicted soil loss of approximately 44 × 106 t in 2016. All of the districts studied have steep slope gradients (30.4%–36.1%) and high annual rainfall totals (1199–1484 mm/yr), except Rubavu district. More than 88.8% of croplands had unsustainable average soil loss rates of > 1 t/ha/yr. The analysis indicated that both terracing and strip cropping have the potential to reduce rates of soil loss in the farmland, by 64.4% and 10.4%, respectively. The results of this study will serve as a baseline for soil erosion mitigation and land-use planning in the study area and Rwanda at large.