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水库影响下的山区洪水态势演变研究OA

Research on the evolution of mountain flood situation under the influence of reservoirs:A case study of the"6·19"rainstorm flood in Guilin

中文摘要英文摘要

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,如何科学分析自然、人为因素对山洪态势的影响,精准模拟水库调蓄下的洪水动态演变过程,是从流域层面提升防洪能力的关键.本研究采用我国自主研发的时空变源分布式水文模型,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3 d面累积降雨量达到442 mm,毛岭脚单站3 d累积降雨量777 mm.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构成严峻挑战.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100 a一遇.在经过上游水库调蓄后,桂林站洪峰降至6380 m³/s(约30 a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.

In recent years,extreme flash flood events in mountainous watersheds under the combined influence of cli-mate change and human activities have occurred more frequently.Characterized by sudden onset and high destructive potential,these events pose significant challenges to China's disaster prevention and mitigation efforts.This study employs the spatiotemporally-variable-source distributed hydrological model(SKY-HydroSAT),independently developed by the China Institute of Water Resources and Hydropower Research,to establish a distributed hydrologi-cal 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 investigated the 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 joint operation of 4 upstream reservoirs upstream of Guilin played a crucial role in flood control and disaster mitigation.Without reservoir regulation,the peak flow at Guilin Station would have exceeded the 100-year return period level.After regulation by the upstream reservoirs,the peak flow at Guilin Stationwas reduced to 6380 m³/s(approximately equivalent to a 30-year return period flood),significantly mitigating downstream disas-ter losses.This study validates the applicability of the distributed hydrological model in the Guilin region,demonstrat-ing its capability to accurately characterize watershed runoff mechanisms and quantify the benefits of regulation by hydraulic projects.The proposed approach holds potential for extension to other mountainous watersheds in China and can provide scientific support for regional flood management decision-making.

鞠晓晗;马强;梁学文;李辉;张晓祥;张顺福

河海大学 地理与遥感学院,江苏 南京 211000中国水利水电科学研究院,北京 100038广西壮族自治区水利科学研究院,广西 南宁 530023中国水利水电科学研究院,北京 100038河海大学 地理与遥感学院,江苏 南京 211000中国水利水电科学研究院,北京 100038

天文与地球科学

分布式水文模型水库调控洪水灾害"6·19"漓江洪水

distributed hydrological modelreservoir regulationflash flood"6·19"Lijiang Flood

《水利学报》 2026 (7)

1093-1105,13

国家重点研发计划项目(2023YFC3006701)

10.3724/j.slxb.20250430

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