水资源与水工程学报2025，Vol.36Issue(5)：1-8,8.DOI:10.11705/j.issn.1672-643X.2025.05.01
沿海城市复合洪涝积水分布快速预测
Rapid prediction of compound flooding distribution in a coastal city
摘要
Abstract
To accurately and rapidly predict compound flooding in coastal cities,we developed a data and mechanism dual-driven model considering the impacts of rainfall,tide level,and river runoff.Taking the Meishe River Basin in Haikou City as a case study,we constructed a physically-driven and numerically-driven coupled dataset based on the personal computer storm water management model(PCSWMM).Subsequently,a rapid prediction model for the compound flooding distribution was proposed based on the Bayesian optimized gradient boosting decision tree(GBDT)algorithm.The simulation results of the 1D-2D coupled urban flooding model based on PCSWMM has an absolute simulation error of less than 0.04 m,presenting an accurate simulation of actual inundation.The correlation coefficient(R2)between the predicted values of the GBDT model and those of the PCSWMM model is close to 0.98,and the computa-tional speed is increased by more than 261 times.This approach enables more accurate and quicker com-pound flooding predictions for coastal cities.关键词
沿海城市/复合洪涝/数值模型/深度学习/快速预测/美舍河流域/海口市Key words
coastal city/compound flooding/numerical model/deep learning/rapid prediction/Meishe River Basin/Haikou City分类
水利科学引用本文复制引用
徐奎,张跃凡,王晨越,宾零陵..沿海城市复合洪涝积水分布快速预测[J].水资源与水工程学报,2025,36(5):1-8,8.基金项目
国家自然科学基金项目(52379019、42477501) （52379019、42477501）
