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

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2024-06-17 DOI:10.1029/2023wr036329
Han Cheng, Taihua Wang, Dawen Yang
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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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量化三峡水库对极端水文事件的调节能力及其对气候变化下水流状态的影响
三峡水库(TGR)是世界上最大的水电工程之一,在长江水资源管理中发挥着重要作用。为了防灾和流域管理,了解三峡水库对极端水文事件的调节能力及其在气候变化下对水流状态的影响至关重要。本研究获取了 1961 年至 2019 年特克斯河流域的历史流入量,并使用分布式水文模型模拟了 2021 年至 2070 年的未来流入量。这些数据被用于驱动基于机器学习的 TGR 运行模型,以获得 TGR 运行时的模拟出流量,然后与未运行 TGR 时的自然流量进行比较,以评估 TGR 的影响。结果表明,在运行塘坝保留区后,历史时期的平均洪峰流量和总洪水日数可分别减少 29.2% 和 53.4%。干旱指标(包括持续时间和强度)的相对降幅一般低于 10%。面对未来更严重的极端水文事件,预计总导 演计划仍可缓解洪水和干旱,但无法将其降至历史水平。在气候不断变化的情况下,TGR 运行对水流状态的影响也会发生变化,从而可能改变河流生态系统的栖息地。本研究提出了模拟大型水库运行并量化其对水流状态影响的可行方法,为长江上游流域综合治理提供了启示。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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