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气候变化下基于SWAT+的先进水文评估:大型气候敏感且受水库调节流域的综合框架

Advanced hydrological assessment with SWAT+ under climate change: An integrated framework over large climate-sensitive and reservoir-regulated watershed.

作者信息

Mishra Debasish, Singh Hrishikesh, Kumar Munish, Mohanty Mohit Prakash

机构信息

Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, India.

Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, India.

出版信息

Sci Total Environ. 2025 Sep 10;994:180062. doi: 10.1016/j.scitotenv.2025.180062. Epub 2025 Jul 16.

Abstract

Quantifying streamflow dynamics under changing hydroclimatic conditions is essential for effective water resources planning, particularly in reservoir-regulated basins. This study, for the first time, develops a dynamic reservoir-streamflow modelling framework to simulate historical and future streamflow in the Mahanadi River Basin (MRB), a large, climate-sensitive basin in India. The framework is driven by the latest version of the Soil and Water Assessment Tool Plus (SWAT+), with a dynamic reservoir operation module, and the CLIMEA-BCUD dataset (Climate Change for East Asia with Bias-Corrected UNet), a high-fidelity product derived from an ensemble of 19 CMIP6 GCMs. A thorough evaluation against benchmark station-level observations indicates a high degree of closeness of CLIMEA-BCUD in capturing historical precipitation and temperature variability (CC > 0.9, NSE > 0.85). A seasonal shift in monsoon rainfall patterns is observed in the future climate scenarios, with the peak moving from July to August. Additionally, more frequent moderate rainfall and prolonged wet spells are expected, intensifying flood potential. SWAT+ simulations developed for SSP2-4.5 and SSP5-8.5 scenarios project up to 30.7 % and 52.3 % rise in streamflow for about 15.2 % and 28.5 % rise in precipitation, respectively, during the far-future. Our observations also indicate that wet season flows (June-November) may increase by up to 61.3 %, while dry season flows (December-May) may decline by 34.1 % due to elevated evapotranspiration. This study presents a scalable framework to enhance streamflow resilience in regulated, climate-sensitive basins and offers critical insights for understanding hydrological responses and enabling climate-resilient water management.

摘要

在不断变化的水文气候条件下量化径流动态对于有效的水资源规划至关重要,特别是在水库调节的流域。本研究首次开发了一个动态水库 - 径流模拟框架,以模拟印度一个大型、气候敏感流域——马哈纳迪河流域(MRB)的历史和未来径流。该框架由最新版本的土壤和水评估工具升级版(SWAT +)驱动,并带有一个动态水库运行模块,以及CLIMEA - BCUD数据集(东亚气候变化偏差校正U-Net),这是一个源自19个CMIP6全球气候模型集合的高保真产品。与基准站级观测的全面评估表明,CLIMEA - BCUD在捕捉历史降水和温度变异性方面具有高度的一致性(CC > 0.9,NSE > 0.85)。在未来气候情景中观察到季风降雨模式的季节性变化,峰值从7月移至8月。此外,预计会有更频繁的中雨和更长时间的湿期,加剧洪水潜力。针对SSP2 - 4.5和SSP5 - 8.5情景开发的SWAT +模拟预测,在遥远的未来,降水量分别增加约15.2%和28.5%时,径流量将分别增加高达30.7%和52.3%。我们的观测还表明,由于蒸发散增加,湿季流量(6月至11月)可能增加高达61.3%,而干季流量(12月至5月)可能下降34.1%。本研究提出了一个可扩展的框架,以增强受调节的、气候敏感流域的径流弹性,并为理解水文响应和实现气候适应性水资源管理提供关键见解。

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