Assessment of the SWAT model in simulating watersheds in arid regions: Case study of the Yarmouk River Basin (Jordan)
Assessment of the SWAT model in simulating watersheds in arid regions: Case study of the Yarmouk River Basin (Jordan)
复制标题
DOI：
10.1515/geo-2020-0238
复制
发表时间：
2021-01
期刊：
影响因子：
2
通讯作者：
M. Abu-Zreig;Lubna Bani Hani
中科院分区：
文献类型：
--
作者：
M. Abu-Zreig;Lubna Bani Hani
摘要利用土壤水评价工具(SWAT)对耶尔穆克河流域(YRB)月径流进行了模拟。其目的是评估该模型在模拟干旱流域的水文响应方面的性能，然后将其用于研究万家寨农业发展项目对万家寨泥沙输移的影响。九年和三年的输入数据，即从2005年到2013年，用于校准模型，而从2014年到2015年的数据用于模型验证。利用时间序列图和统计方法，包括月径流观测值和模拟值之间的决定系数(R2)和纳什-萨克利夫效率系数(−∞)，验证了万家寨引黄工程的模拟能力。SWAT模型对定标期和验证期的月平均径流进行了较好的预测，R2=0.95，NSE=0.96，R2=0.91，NSE=0.63。这项研究肯定了在万家寨发展项目中实施的土壤保持措施的积极影响，并确认等高线可在研究期间将土壤流失量减少15%至44%。这项研究表明，SWAT模型能够模拟约旦旱地的水文成分。
Abstract The Soil and Water Assessment Tool (SWAT) was used to simulate monthly runoff in the Yarmouk River Basin (YRB). The objectives were to assess the performance of this model in simulating the hydrological responses in arid watersheds then utilized to study the impact of YRB agricultural development project on transport of sediments in the YRB. Nine and three years of input data, namely from 2005 to 2013, were used to calibrate the model, whereas data from 2014 to 2015 were used for model validation. Time series plots as well as statistical measures, including the coefficient of determination (R 2) and the Nash–Sutcliffe coefficient of efficiency (NSE) that range between 0 to 1 and −∞ to 1, respectively, between observed and simulated monthly runoff values were used to verify the SWAT simulation capability for the YRB. The SWAT model satisfactorily predicted mean monthly runoff values in the calibration and validation periods, as indicated by R 2 = 0.95 and NSE = 0.96 and R 2 = 0.91 and NSE = 0.63, respectively. The study confirmed the positive impact of soil conservation measures implemented in the YRB development project and confirmed that contouring can reduce soil loss from 15 to 44% during the study period. This study showed that the SWAT model was capable of simulating hydrologic components in the drylands of Jordan.