Terefe Baye, Melese Tadele, Temesgen Fekadu, Anagaw Abebe, Afework Amene, Mitikie Girmaw
Department of Geography and Environmental Studies, Injibara University, Injibara, Ethiopia.
Department of Natural Resource Management, Bahir Dar University, Bahir Dar, Ethiopia.
Heliyon. 2024 Jul 24;10(15):e35132. doi: 10.1016/j.heliyon.2024.e35132. eCollection 2024 Aug 15.
Ethiopia is currently facing a major environmental problem caused by soil erosion. In order to tackle this problem, it is essential to implement a comprehensive watershed management approach and give priority to conservation efforts depending on the level of severity. Therefore, the objective of this research is to evaluate the mean annual soil erosion and rank the sub-watersheds for conservations in the Ayu watershed, utilizing the Revised Universal Soil Loss Equation (RUSLE) model and the Sub-Watershed Prioritization Tool (SWPT). RUSLE was utilized to predict the annual average soil erosion rate, while SWPT was applied to conduct Weighted Sum Analysis (WSA) for ranking sub-watersheds. Support Vector Machine (SVM) was employed for classifying land use and land cover. The Relative importance of morphometric and topo-hydrologic features in the SWPT was analyzed using a Random Forest model. The Bland-Altman plot and Wilcoxon Signed Rank Test were employed to assess the agreement in prioritizing watersheds between RUSLE results and the SWPT. Furthermore, field observations were conducted to validate the land use classification by collecting ground data. In addition, the study was enhanced with local viewpoints by conducting focus group discussions with agricultural experts and farmers to obtain qualitative insights and validation of resuts. The findings showed that soil loss varied from 0 to 110 t/ha/yr, with an average of 8.95 t/ha/yr, resulting in a total loss of 384365.3 tons annually. The comparison of RUSLE and SWPT showed a moderate positive relationship (r = 0.59). The results of the Bland-Altman plot indicate a consistent agreement between the two methods. However, there is inconsistency among the five sub watersheds. This study enhances the knowledge of soil erosion patterns and offers useful guidance for watershed conservation techniques. It can be also used as a beneficial framework for managing watersheds, with possible uses outside of the Ayu watershed.
埃塞俄比亚目前正面临着由土壤侵蚀造成的重大环境问题。为了解决这一问题,实施全面的流域管理方法并根据严重程度优先进行保护工作至关重要。因此,本研究的目的是利用修订后的通用土壤流失方程(RUSLE)模型和子流域优先级排序工具(SWPT),评估阿尤流域的年均土壤侵蚀情况,并对子流域进行保护排序。RUSLE用于预测年平均土壤侵蚀率,而SWPT则用于进行加权和分析(WSA)以对子流域进行排序。支持向量机(SVM)用于土地利用和土地覆盖分类。使用随机森林模型分析了SWPT中形态测量和地形水文特征的相对重要性。采用布兰德-奥特曼图和威尔科克森符号秩检验来评估RUSLE结果与SWPT在流域优先级排序上的一致性。此外,还通过收集地面数据进行实地观测,以验证土地利用分类。此外,通过与农业专家和农民进行焦点小组讨论,从当地观点出发增强了该研究,以获得定性见解并验证结果。研究结果表明土壤流失量在0至110吨/公顷/年之间,平均为8.95吨/公顷/年,每年总流失量为384365.3吨。RUSLE和SWPT的比较显示出中等程度的正相关关系(r = 0.59)。布兰德-奥特曼图的结果表明这两种方法之间存在一致的一致性。然而,五个子流域之间存在不一致性。本研究增进了对土壤侵蚀模式的认识,并为流域保护技术提供了有用的指导。它还可以作为管理流域的有益框架,可能在阿尤流域之外得到应用。