李文鑫,金君良,舒章康,等. 气候变化对嘉陵江流域水资源和极端水文事件的影响[J]. 水利水运工程学报,2024(2):20-33.. doi: 10.12170/20230611002
引用本文: 李文鑫,金君良,舒章康,等. 气候变化对嘉陵江流域水资源和极端水文事件的影响[J]. 水利水运工程学报,2024(2):20-33.. doi: 10.12170/20230611002
(LI Wenxin, JIN Junliang, SHU Zhangkang, et al. Assessing the impact of climate change on water resources and extreme hydrological events in the Jialing River Basin[J]. Hydro-Science and Engineering, 2024(2): 20-33. (in Chinese)). doi: 10.12170/20230611002
Citation: (LI Wenxin, JIN Junliang, SHU Zhangkang, et al. Assessing the impact of climate change on water resources and extreme hydrological events in the Jialing River Basin[J]. Hydro-Science and Engineering, 2024(2): 20-33. (in Chinese)). doi: 10.12170/20230611002

气候变化对嘉陵江流域水资源和极端水文事件的影响

Assessing the impact of climate change on water resources and extreme hydrological events in the Jialing River Basin

  • 摘要: 全球变暖导致降水变率增大,水文波动性增强。嘉陵江水资源丰富,科学预估其未来水资源变化及极端水文事件对支撑经济社会和生态环境平衡发展至关重要。已有研究主要集中于嘉陵江历史径流演变,对气候变化背景下未来流域水资源响应及极端水文事件预估较少。基于第6次国际耦合模式比较计划CMIP6计划的22个气候模式耦合可变下渗容量模型(VIC模型),预估了不同代表性典型浓度路径下嘉陵江流域未来径流变化趋势,分析了极端水文事件强度的未来演变趋势。结果表明:(1)VIC模型在嘉陵江流域的适用性较好,各站点日径流模拟纳什效率系数均大于0.7,多年水量相对误差在8%之内,对极端水文指标年最大洪峰流量和年最大5日洪量模拟较好;(2)流域未来气候变化将以暖湿化为主,2031—2090年降水量相较基准期(1985—2014年)将增加5.5%~13.8%,温升幅度超2 ℃;(3)未来径流量很可能会增加,在2061—2090年,径流量相较基准期(1985—2014年)将增加7.0%~14.0%;(4)流域未来洪水强度可能增大,在2061—2090年,SSP5-8.5排放情景下基准期年最大洪峰流量与年最大5日洪量50年一遇值的重现期将缩短为10~20年。气候变化将导致流域水循环加快,水文形势不容乐观,需加强水资源综合管理及洪涝风险应对能力。

     

    Abstract: Global warming contributes to heightened precipitation variability and hydrological fluctuations. The Jialing River, abundant in water resources, necessitates a scientific assessment of prospective changes in water resources and extreme hydrological events to foster the harmonious development of the economy, society, and ecological environment. Current research predominantly delves into the historical runoff patterns of the Jialing River, with insufficient emphasis on predicting water resource responses and extreme hydrological events in the face of future climate changes. Utilizing the coupled Variable Infiltration Capacity Macroscale Hydrologic Model (VIC Model) and 22 climate models from the CMIP6 program, this study estimates the future runoff trends in the Jialing River Basin under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. Additionally, it analyzes the forthcoming evolution of extreme runoff event intensity and return periods within the basin through a coupled Bivariate Joint distribution. The findings indicate the following: (1) The VIC model demonstrates high applicability in the Jialing River Basin, as evidenced by a Nash-Sutcliffe Efficiency (NSE) exceeding 0.7 for daily runoff simulation at each station and a multi-year water volume error within 8%; (2) Future climate changes in the basin are anticipated to be predominantly warm and humid, with a projected 5.5% to 13.8% increase in precipitation and a temperature rise exceeding 2 ℃ from 2031 to 2090, compared to the reference period (1985-2014); (3) Runoff is likely to increase in the future, with a projected 7.0% to 14.0% rise from 2061 to 2090 compared to the baseline period (1985-2014); (4) The intensity of annual maximum one-day runoff and the annual maximum five-day water volume may increase in the future. Under the SSP5-8.5 emission scenario, the return periods for these events in the reference period (2061-2090) are shortened to 10-20 years each. While the future runoff variations in the Jialing River Basin under different climate scenarios remain uncertain, the hydrological outlook is less than optimistic. Strengthening comprehensive water resource management and flood risk mitigation capabilities is imperative.

     

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