Godif Gebremedhin, Manjunatha B R
Department of Physics, Raya University, Tigray, Ethiopia.
Department of Marine Geology, Mangalore University, Mangalagangothri 574199, Karnataka, India.
Heliyon. 2022 Dec 14;8(12):e12261. doi: 10.1016/j.heliyon.2022.e12261. eCollection 2022 Dec.
Ranking watersheds according to their susceptibility to soil erosion is crucial in setting priorities for soil and water conservation initiatives. The main intention of this work is to characterize and prioritize 12-sub-watersheds of the Geba River Basin, northern Ethiopia for planned soil and water conservation practices. SRTM-DEM, GIS, and statistical correlation-based weighted sum approach have been utilized for generating morphometric parameters, data processing, and calculating the combined rank of sub-watersheds respectively. Fourteen morphometric parameters that have high nexus with the soil erosion susceptibility were selected and quantified using different standardized mathematical equations. Based on these quantified variables, a compound factor (rank) was calculated for each sub-watershed. Using the combined rank, the sub-watersheds were clustered into five soil erosion susceptibility zones, i.e., very high, high, moderate, low, and very low. Results revealed that sub-watersheds 7, 8, 9, and 12 which collectively cover the majority of the area (36 % of the total area) are possibly fall under the very high soil erosion susceptibility. The high (comprising of sub-watersheds 1, 5, 11), moderate (consisting of sub-watersheds 2, 3), low (consisting of sub-watershed 10), and very low (consisting of sub-watersheds 4, 6) soil erosion susceptibility zones cover 26%, 28%, 4%, and 6% of the total area respectively. The results further reflect that sub-watersheds in the very high soil erosion susceptibility category require immediate action for implementing soil and water conservation measures. This study's findings could serve as a basis for policymakers and planners in the development of erosion control strategies.
根据流域对土壤侵蚀的敏感性进行排名,对于确定水土保持举措的优先次序至关重要。这项工作的主要目的是对埃塞俄比亚北部盖巴河流域的12个子流域进行特征描述并确定其优先次序,以便实施规划好的水土保持措施。分别利用SRTM数字高程模型、地理信息系统和基于统计相关性的加权总和方法来生成形态测量参数、进行数据处理以及计算子流域的综合排名。选择了14个与土壤侵蚀敏感性密切相关的形态测量参数,并使用不同的标准化数学方程进行量化。基于这些量化变量,为每个子流域计算了一个复合因子(排名)。利用综合排名,将子流域划分为五个土壤侵蚀敏感性区域,即极高、高、中、低和极低。结果显示,子流域7、8、9和12共同覆盖了大部分区域(占总面积的36%),可能属于土壤侵蚀敏感性极高的区域。高土壤侵蚀敏感性区域(包括子流域1、5、11)、中土壤侵蚀敏感性区域(由子流域2、3组成)、低土壤侵蚀敏感性区域(由子流域10组成)和极低土壤侵蚀敏感性区域(由子流域4、6组成)分别占总面积的26%、28%、4%和6%。结果还进一步表明,土壤侵蚀敏感性极高类别的子流域需要立即采取行动实施水土保持措施。本研究的结果可为政策制定者和规划者制定侵蚀控制策略提供依据。