Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate

Abstract The Three Gorges Reservoir (TGR) is one of the world's largest hydropower projects and plays an important role in water resources management in the Yangtze River. For the sake of disaster prevention and catchment management, it is crucial to understand the regulation capacity of the TG...

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Published in:Water Resources Research
Main Authors: Han Cheng, Taihua Wang, Dawen Yang
Format: Article
Language:English
Published: Wiley 2024-06-01
Subjects:
Online Access:https://doi.org/10.1029/2023WR036329
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author Han Cheng
Taihua Wang
Dawen Yang
author_facet Han Cheng
Taihua Wang
Dawen Yang
author_sort Han Cheng
collection DOAJ
container_title Water Resources Research
description Abstract The Three Gorges Reservoir (TGR) is one of the world's largest hydropower projects and plays an important role in water resources management in the Yangtze River. For the sake of disaster prevention and catchment management, it is crucial to understand the regulation capacity of the TGR on extreme hydrological events and its impact on flow regime in a changing climate. This study obtains historical inflows of the TGR from 1961 to 2019 and uses a distributed hydrological model to simulate the future inflows from 2021 to 2070. These data are adopted to drive a machine learning‐based TGR operation model to obtain the simulated outflow with TGR operation, which are then compared with the natural flow without TGR operation to assess the impact of TGR. The results indicate that the average flood peaks and total flooding days in the historical period could have been reduced by 29.2% and 53.4% with the operation of TGR. The relative declines in drought indicators including duration and intensity were generally less than 10%. Faced with more severe extreme hydrological events in the future, the TGR is still expected to alleviate floods and droughts, but cannot bring them down to historical levels. The impact of TGR operation on flow regime will also evolve in a changing climate, potentially altering the habitats of river ecosystems. This study proposes feasible methods for simulating the operation of large reservoirs and quantifying the impact on flow regime, and provides insights for integrated watershed management in the upper Yangtze River basin.
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spelling doaj-art-e0962fd869cf44fd922ca2e23a2642742025-08-20T03:22:18ZengWileyWater Resources Research0043-13971944-79732024-06-01606n/an/a10.1029/2023WR036329Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing ClimateHan Cheng0Taihua Wang1Dawen Yang2State Key Laboratory of Hydroscience and Engineering Department of Hydraulic Engineering Tsinghua University Beijing ChinaState Key Laboratory of Hydroscience and Engineering Department of Hydraulic Engineering Tsinghua University Beijing ChinaState Key Laboratory of Hydroscience and Engineering Department of Hydraulic Engineering Tsinghua University Beijing ChinaAbstract The Three Gorges Reservoir (TGR) is one of the world's largest hydropower projects and plays an important role in water resources management in the Yangtze River. For the sake of disaster prevention and catchment management, it is crucial to understand the regulation capacity of the TGR on extreme hydrological events and its impact on flow regime in a changing climate. This study obtains historical inflows of the TGR from 1961 to 2019 and uses a distributed hydrological model to simulate the future inflows from 2021 to 2070. These data are adopted to drive a machine learning‐based TGR operation model to obtain the simulated outflow with TGR operation, which are then compared with the natural flow without TGR operation to assess the impact of TGR. The results indicate that the average flood peaks and total flooding days in the historical period could have been reduced by 29.2% and 53.4% with the operation of TGR. The relative declines in drought indicators including duration and intensity were generally less than 10%. Faced with more severe extreme hydrological events in the future, the TGR is still expected to alleviate floods and droughts, but cannot bring them down to historical levels. The impact of TGR operation on flow regime will also evolve in a changing climate, potentially altering the habitats of river ecosystems. This study proposes feasible methods for simulating the operation of large reservoirs and quantifying the impact on flow regime, and provides insights for integrated watershed management in the upper Yangtze River basin.https://doi.org/10.1029/2023WR036329Three Gorges Reservoirreservoir operationextreme hydrological eventsmachine learningfloods and droughtsYangtze River
spellingShingle Han Cheng
Taihua Wang
Dawen Yang
Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
Three Gorges Reservoir
reservoir operation
extreme hydrological events
machine learning
floods and droughts
Yangtze River
title Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
title_full Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
title_fullStr Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
title_full_unstemmed Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
title_short Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
title_sort quantifying the regulation capacity of the three gorges reservoir on extreme hydrological events and its impact on flow regime in a changing climate
topic Three Gorges Reservoir
reservoir operation
extreme hydrological events
machine learning
floods and droughts
Yangtze River
url https://doi.org/10.1029/2023WR036329
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AT dawenyang quantifyingtheregulationcapacityofthethreegorgesreservoironextremehydrologicaleventsanditsimpactonflowregimeinachangingclimate