SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Simulating reservoir induced Lhasa streamflow variability using ArcSWAT 
Authors:Yasir, M., T. Hu and S.A. Hakeem 
Volume (Issue):12(5) 
Article ID:1370 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:reservoirs, ponds, lakes and/or other impoundment effects  
Secondary Application Category:hydrologic assessment 
Watershed Description:32,321 km^2 Lhasa River, a tributary of the Yarlung Tsangbo River that originates in the central western Qinghai-Tibetan Plateau in the Tibet Autonomous Region in southwest China. 
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General Comments: 
Abstract:Lhasa River Basin being the socio-economic hotspot of Qinghai-Tibetan Plateau is experiencing an increased hydropower capacity in the form of damming and reservoir construction. The Pangduo hydropower station, commenced in 2013, is one of these developments. Lhasa River discharge is analyzed for spatial variability under the reservoir operation at Pondo and Lhasa gauging station. The Mann–Kendall Trend analysis reveals an increased precipitation and a decreased Lhasa River discharge trend upstream and downstream the reservoir. However, the discharge received at Lhasa gauging station is experiencing a greater decline revealed by Sen’s slope estimator. Soil and Water Assessment Tool (SWAT) modelling of the Lhasa River discharge for both the hydrometric stations from 2008–2016 reveals better simulation results for Pondo hydrometric station in terms of R2, NSE and PBIAS values. The modelling results for Pondo station correspond comparatively well to the reservoir operation procedures including water level and inflow despite of data availability constraint. However, the importance of non-simulated processes (e.g., groundwater abstractions) to the accurate prediction of the Lhasa flow regime particularly at the downstream flow gauge is recommended. The study can prove beneficial for local water distribution measures in Lhasa River Basin. 
Keywords:SWAT; reservoir operation; simulation; Mann–Kendall trend test; Sen’s slope estimator; Lhasa River Basin; inflow; parameter uncertainty