Roba Negash Tessema, Kassa Asfaw Kebede, Geleta Dame Yadeta, Harka Arus Edo
Department of Water Resources and Irrigation Engineering, Haramaya Institute of Technology, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia.
Department of Hydraulic and Water Resources Engineering, Haramaya Institute of Technology, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia.
Heliyon. 2021 Dec 1;7(12):e08509. doi: 10.1016/j.heliyon.2021.e08509. eCollection 2021 Dec.
Estimating sediment yield and streamflow, as well as identifying soil erosion processes, are necessary for properly designing superior management techniques, monitoring and evaluating various management scenarios, and prioritizing better conservation planning. Therefore, this study estimates streamflow and sediment yield and prioritizes the catchment sub-watersheds for conservation planning in the Dawe River watershed. In the continuous-time step, sediment load data is generated by developing a sediment rating curve. Statistical measures were used to weigh the SWAT's performance in estimating streamflow and sediment output over the calibration (2000-2008) and validation (2009-2013) periods. The model's performance in estimating the monthly streamflow was 0.73, 0.55, and 0.79 for NSE, R-factor, and R, respectively, according to the calibration results. For sediment yield, the Nash Sutcliffe efficiency (NSE), R-factor, and R were 0.77, 0.47, and 0.82, respectively. Estimated sediment output rates were higher in agricultural lands with eutric and rendzic leptosols soil types and gradients in the study watershed. For the indicated sub-watersheds in the catchment, the three best sediment management scenarios (BMPs) were considered: S1 (filter strip), S2 (terrace/bund), and S3 (reforestation). With the implementation of S1, S2, and S3, the sediment yield was reduced by 15.7 percent, 21.3 percent, and 24.9 percent, respectively, based on the chosen BMPs. As a result, adopting S3 for the Dawe River watershed for productive sediment reductions should be encouraged. As a result, our findings point to the best strategy for negotiating a stronger conservation plan.
估算产沙量和流量,以及识别土壤侵蚀过程,对于合理设计高级管理技术、监测和评估各种管理方案以及确定更好的保护规划优先级至关重要。因此,本研究估算了大韦河流域的流量和产沙量,并确定了流域子流域在保护规划中的优先级。在连续时间步长中,通过建立泥沙评级曲线来生成泥沙负荷数据。使用统计方法来衡量SWAT模型在校准期(2000 - 2008年)和验证期(2009 - 2013年)估算流量和泥沙输出的性能。根据校准结果,该模型在估算月流量时,NSE、R因子和R分别为0.73、0.55和0.79。对于产沙量,Nash Sutcliffe效率(NSE)、R因子和R分别为0.77、0.47和0.82。研究流域中富养土和腐殖质薄层土土壤类型及坡度的农业用地的估算产沙率较高。对于流域中指定的子流域,考虑了三种最佳泥沙管理方案(BMPs):S1(过滤带)、S2(梯田/堤坝)和S3(重新造林)。根据所选的BMPs,实施S1、S2和S3后,产沙量分别减少了15.7%、21.3%和24.9%。因此,应鼓励在大韦河流域采用S3来有效减少泥沙。结果,我们的研究结果指出了制定更强有力保护计划的最佳策略。