Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT

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 spa...

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Main Authors: Muhammad Yasir, Tiesong Hu, Samreen Abdul Hakeem
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/5/1370
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spelling doaj-32383456c3424a3baa06e0aca46ad4912020-11-25T02:10:13ZengMDPI AGWater2073-44412020-05-01121370137010.3390/w12051370Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWATMuhammad Yasir0Tiesong Hu1Samreen Abdul Hakeem2State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, ChinaLhasa 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 R<sup>2</sup>, 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.https://www.mdpi.com/2073-4441/12/5/1370SWATreservoir operationsimulationMann–Kendall trend testSen’s slope estimatorLhasa River Basin
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Yasir
Tiesong Hu
Samreen Abdul Hakeem
spellingShingle Muhammad Yasir
Tiesong Hu
Samreen Abdul Hakeem
Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT
Water
SWAT
reservoir operation
simulation
Mann–Kendall trend test
Sen’s slope estimator
Lhasa River Basin
author_facet Muhammad Yasir
Tiesong Hu
Samreen Abdul Hakeem
author_sort Muhammad Yasir
title Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT
title_short Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT
title_full Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT
title_fullStr Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT
title_full_unstemmed Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT
title_sort simulating reservoir induced lhasa streamflow variability using arcswat
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-05-01
description 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 R<sup>2</sup>, 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.
topic SWAT
reservoir operation
simulation
Mann–Kendall trend test
Sen’s slope estimator
Lhasa River Basin
url https://www.mdpi.com/2073-4441/12/5/1370
work_keys_str_mv AT muhammadyasir simulatingreservoirinducedlhasastreamflowvariabilityusingarcswat
AT tiesonghu simulatingreservoirinducedlhasastreamflowvariabilityusingarcswat
AT samreenabdulhakeem simulatingreservoirinducedlhasastreamflowvariabilityusingarcswat
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