Faculty of Agriculture and Environmental Sciences, University of Rostock, 18051, Rostock, Germany.
Faculty of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Environ Monit Assess. 2023 May 24;195(6):716. doi: 10.1007/s10661-023-11337-z.
Sediment yield estimation along with identification of soil erosion mechanisms is essential for developing sophisticated management approaches, assessing, and balancing different management scenarios and prioritizing better soil and water conservation planning and management. At the watershed scale, land management practices are commonly utilized to minimize sediment loads. The goal of this research was to estimate sediment yield and prioritize the spatial dispersion of sediment-producing hotspot areas in the Nashe catchment using the Soil and Water Assessment Tool (SWAT). Moreover, to reduce catchment sediment output, this study also aims to assess the effectiveness of certain management practices. For calibration and validation of the model, monthly stream flow and sediment data were utilized. The model performance indicators show good agreement between measured and simulated stream flow and sediment yields. The study examined four best management practice (BMP) scenarios for the catchment's designated sub-watersheds: S0 (baseline scenario), S1 (filter strip), S2 (stone/soil bunds), S3 (contouring), and S4 (terracing). According to the SWAT model result, the watershed's mean yearly sediment output was 25.96 t/ha. yr. under baseline circumstances. The model also revealed areas producing the maximum sediment quantities indicating the model's effectiveness for implementing and evaluating the sensitivity of sediment yield to various management strategies. At the watershed scale, treating the watershed with various management scenarios S1, S2, S3, and S4 decreased average annual sediment yield by 34.88%, 57.98%, 39.55%, and 54.77%, respectively. The implementations of the soil/stone bund and terracing scenarios resulted in the maximum sediment yield reduction. The findings of this study will help policymakers to make better and well-informed decisions regarding suitable land use activities and best management strategies.
泥沙产沙量估算以及土壤侵蚀机制的识别对于开发复杂的管理方法、评估和平衡不同的管理方案、优先进行更好的水土保持规划和管理至关重要。在流域尺度上,通常利用土地管理措施来最大程度地减少泥沙负荷。本研究旨在利用土壤和水评估工具(SWAT)估算泥沙产沙量,并对 Nashe 流域泥沙产生热点区域的空间分布进行优先级排序。此外,为了减少流域泥沙输出,本研究还旨在评估某些管理措施的有效性。本研究利用每月的流量和泥沙数据对模型进行了校准和验证。模型性能指标显示,实测和模拟流量以及泥沙产沙量之间具有良好的一致性。本研究考察了流域指定子流域的四个最佳管理实践(BMP)情景:S0(基线情景)、S1(过滤带)、S2(石/土埂)、S3(等高线)和 S4(梯田)。根据 SWAT 模型的结果,在基线情况下,流域的平均年泥沙输出量为 25.96 t/ha. yr。该模型还揭示了产生最大泥沙量的区域,表明该模型在实施和评估不同管理策略对泥沙产沙量的敏感性方面具有有效性。在流域尺度上,用各种管理情景 S1、S2、S3 和 S4 处理流域可以分别减少流域的平均年泥沙输出量 34.88%、57.98%、39.55%和 54.77%。实施土石埂和梯田情景可以最大程度地减少泥沙产沙量。本研究的结果将有助于决策者就适宜的土地利用活动和最佳管理策略做出更好、更明智的决策。