水力发电学报2024，Vol.43Issue(4)：12-22,11.DOI:10.11660/slfdxb.20240402
北京"23·7"特大洪水复盘分析
Hindcasting on"July 2023"flood event in Beijing
摘要
Abstract
In this study,we apply the Beijing flood forecast model and both the gauge-measured and radar-monitored rainfall data to reassess the"July 2023"flood event that occurred in the key regions of Beijing.Results reveal that the radar-derived rainfall data closely align with ground observations,offering a more nuanced representation of the rainfall's temporal and spatial variations.Comparative evaluation of the forecasting capabilities based on these rainfall datasets demonstrates their substantial equivalence,affirming the radar data's viability as a credible alternative to ground measurements.Our specialized Beijing flood forecast model,meticulously tailored to the distinctive runoff characteristics of the city's mountainous areas,consistently exhibits a high accuracy across a wide range of scenarios.The intricate hydrological processes in the city's mountainous terrains are inherently nonlinear;the parameters of its hydrological model,often derived from the historical floods of varying magnitudes,inherently harbor uncertainties.Recognizing the dynamic nature of runoff and flood events,we emphasize the necessity of proactive model parameter optimization.This optimization procedure should integrate real-time conditions and the most current data so as to bolster the reliability of flood predictions.关键词
洪水复盘/洪水预报/"23·7"特大洪水/雷达反演降雨Key words
flood hindcasting/flood forecasting/"July 2023"flood/radar retrieval rainfall分类
地球科学引用本文复制引用
麦合木提·图达吉,田富强,童瑞,徐宝宁,周睿杨,龚傲凡,曾净,季明峰,戚友存,倪广恒..北京"23·7"特大洪水复盘分析[J].水力发电学报,2024,43(4):12-22,11.基金项目
国家重点研发项目(2022YFC3002900) （2022YFC3002900）
清华大学—宁夏银川水联网数字治水联合研究院项目(SKL-IOW-2022TC2010) （SKL-IOW-2022TC2010）
