文章摘要
水库影响下的山洪态势演变研究——以桂林“6.19”暴雨洪水为例
Research on the evolution of flash flood situation under the influence of reservoirs: A case study of the "6·19" flood in Guilin
投稿时间:2025-08-03  修订日期:2026-03-24
DOI:
中文关键词: 分布式水文模型  水库调度  山洪灾害  “6.19”漓江洪水
英文关键词: Distributed hydrological modeling  Reservoir regulation  Flash floods  “6.19” Lijiang Flood
基金项目:国家重点研发计划资助项目(2023YFC3006701)
作者单位邮编
鞠晓晗 河海大学地理与遥感学院 211000
马 强* 中国水利水电科学研究院 100038
梁学文 广西壮族自治区水利科学研究院 
李 辉 中国水利水电科学研究院 
张晓祥 河海大学地理与遥感学院 
张顺福 中国水利水电科学研究院 
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中文摘要:
      近年来,气候变化和人类活动双重影响下的山区流域极端洪水事件频发,为我国防灾减灾工作带来了巨大挑战。本研究采用我国自主研发的时空变源分布式水文模型(SKY-HydroSAT),针对漓江流域桂林以上区域构建考虑水库调蓄的分布式水文模型,率定期及验证期模拟洪峰误差仅为3.7%和6.0%,NSE则分别达到0.87及0.82,验证了模型在该区域较高的适用性。在此基础上,以漓江流域2024年"6·19"特大暴雨洪水事件为例,采用校准后模型对水库影响下的山区洪水态势演变进行了模拟研究,桂林站模拟洪峰误差10.5%,NSE为0.94。后经分析发现,此次洪水由双峰型强降雨引发,桂林以上流域3d面累积降雨量达到442mm,毛岭脚单站3d累积降雨量777mm。模拟结果表明此次暴雨过程中流域呈现超渗/蓄满混合产流模式,地表径流形成时间短,对中游水库及下游居民区防洪安全造成严峻挑战。桂林上游4座水库联合调度发挥了关键防洪减灾效用,如无水库调蓄,桂林站洪峰将超100a一遇。在经过上游水库调蓄后,桂林站洪峰降至6380m3/s(约30a一遇),下游灾害损失得到显著减轻。本研究验证了国产分布式水文模型在广西桂林地区的适用性,所选模型能够准确表征流域产流模式变化特征,并进一步对水利工程调控效果进行量化评估。文中所述模型方法具备向我国其他山区流域推广的潜力,可为区域防洪决策提供科学支撑。
英文摘要:
      In recent years, influenced by climate change and human activities, the flash flood triggered by extreme rainfall in mountainous area have occurred more frequently. Characterized by sudden onset and high destructive potential, these events pose significant challenges to China’s disaster prevention and mitigation. This study employs the spatiotemporal variable-source distributed hydrological model (SKY-HydroSAT), independently developed by the China Institute of Water Resources and Hydropower Research, to establish a distributed hydrological model considering reservoir regulation in the upper catchment of the Guilin City in the Lijiang River Basin. The model demonstrates good applicability, with absolute peak flow errors of 3.7% and 5.4% during the calibration and validation periods, respectively, and Nash-Sutcliffe efficiency (NSE) values of 0.87 and 0.83. Taking the "6·19" extreme flash flood event in 2024 as a case study, with the accurate modelling results (peak flow error 10.5%, NSE 0.94), the research investigates flood dynamics under reservoir influence. The analysis reveals that this event was triggered by a bimodal heavy rainfall pattern, with a three-day average rainfall of 442 mm across the watershed above Guilin and a maximum cumulative rainfall of 777 mm at Maolingjiao Station. Simulation results indicate the formation of combined infiltration-excess and saturation-excess runoff mechanisms, along with subsurface stormflow in major runoff-producing areas, leading to rapid runoff generation and posing severe challenges to midstream reservoirs and downstream flood safety. The coordinated regulation of 4 upstream reservoirs played a critical role in flood mitigation. Without regulation, the peak discharge at Guilin would have exceeded a 100-year return period event. After reservoir regulation, the peak flow was reduced to 6380 m3/s (approximately 30-year return period), significantly lowering downstream disaster losses. This study validates the applicability of the hydrological modeling approach in the Guilin region, demonstrating its capability to accurately characterize watershed runoff mechanisms and quantify the benefits of hydraulic engineering regulation. The proposed approach holds potential for extension to other mountainous area in China, providing scientific support for regional flood management decision-making.
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