| 190 | 0 | 8 |
| Downloads | Citas | Reads |
To address the operational demands of flood prevention and drainage in high-density urban areas,this study develops an integrated forecasting and scheduling model system tailored to the “four-pre” framework—forecasting,early warning,rehearsal,and contingency planning. The system comprises four core components:( 1) a flood forecasting model that incorporates a three-dimensional water exchange mechanism linking river channels,drainage networks,and surface runoff;( 2) an AI-powered flood prediction model;( 3) a joint regulation model for hydraulic infrastructure; and( 4) a real-time emergency resource allocation model. Building upon this system,a digital platform is further developed to enable rapid simulation and refined visualization of urban flooding. This platform leverages a selectively driven multi-path urban water flow simulation method and advanced 3D visualization technologies based on texture mapping and Shader rendering. The proposed framework and platform offer practical tools and technical references for advancing intelligent flood resilience in densely populated cities.
[1] 国家防灾减灾救灾委员会办公室应急管理部发布2023年全国自然灾害基本情况[J].中国减灾，2024(3):7.The National Office for Disaster Prevention,Mitigation,and Relief and the Ministry of Emergency Management released the basic situation of natural disasters nationwide in 2023[J].Disaster Reduction in China,2024(3):7.
[2] 宋晓猛，徐楠涛，董子然.变化环境下城市洪涝风险评估与调控策略[J].水利发展研究，2025,25(1):56-64,85.SONG Xiaomeng,XU Nantao,DONG Ziran.Risk assessment and control strategies of urban flooding under changing environments[J].Water Resources Development Research,2025,25(1):56-64,85.
[3] 徐宗学，叶陈雷.城市暴雨洪涝模拟：原理、模型与展望[J].水利学报，2021,52(4):381-392.XU Zongxue,YE Chenlei.Simulation of urban flooding/waterlogging processes:Principle,models and prospects[J].Journal of Hydraulic Engineering,2021,52(4):381-392.
[4] 水利部珠江水利委员会.粤港澳大湾区水安全保障规划[R].北京：水利部，2021.Pearl River Water Resources Commission,Ministry of Water Resources.Water Security Assurance Plan for the Guangdong-Hong Kong-Macao Greater Bay Area[R].Beijing:Ministry of Water Resources,2021.
[5] 易越涛.珠江流域防洪重难点问题及应对策略研究[J].中国水利，2024(12):50-55.YI Yuetao.Research on key and difficult issues of flood control in Peral River basin and the corresponding countermeasures[J].China Water Resources,2024(12):50-55.
[6] 胡鑫伟，陈文龙，宋利祥，等.粤港澳大湾区城市暴雨洪涝防治能力现状与韧性防治对策[J].中国防汛抗旱，2021,31(11):20-25.HU Xinwei,CHEN Wenlong,SONG Lixiang,et al.Current urban flood control capacity and resilience measures in Guangdong-Hong Kong-Macao Greater Bay Area[J].China Flood & Drought Management,2021,31(11):20-25.
[7] 黄国如，陈文杰，喻海军.城市洪涝水文水动力耦合模型构建与评估[J].水科学进展，2021,32(3):334-344.HUANG Guoru,CHEN Wenjie,YU Haijun.Construction and evaluation of an integrated hydrological and hydrodynamics urban flood model[J].Advances in Water Science,2021,32(3):334-344.
[8] 朱呈浩，夏军强，周美蓉，等.雨水口泄流计算对城市洪涝模拟结果影响研究[J].水力发电学报，2019,38(8):75-86.ZHU Chenghao,XIA Junqiang,ZHOU Meirong,et al.Effects of calculation methods of stormwater outlet discharges on simulations of urban flooding[J].Journal of Hydroelectric Engineering,2019,38(8):75-86.
[9] 张力，王红瑞，郭琲楠，等.基于时序分解与机器学习的非平稳径流序列集成模型与应用[J].水科学进展，2023,34(1):42-52.ZHANG Li,WANG Hongrui,GUO Feinan,et al.Integrated model and application of non-stationary runoff based on time series decomposition and machine learning[J].Advances in Water Science,2023,34(1):42-52.
[10] 王小杰，夏军强，李启杰，等.考虑不同水流交换模式的城市洪涝一维二维双向耦合模型[J].水科学进展，2024,35(2):244-255.WANG Xiaojie,XIA Junqiang,LI Qijie,et al.Study on the bidirectional coupling 1-D and 2-D model of urban flood based on different flow exchange modes[J].Advances in Water Science,2024,35(2):244-255.
[11] 张大伟，向立云，姜晓明，等.基于Godunov格式的排水管网水流数值模拟[J].水科学进展，2021,32(6):911-921.ZHANG Dawei,XIANG Liyun,JIANG Xiaoming,et al.Numerical simulation of drainage network flows based on Godunov scheme[J].Advances in Water Science,2021,32(6):911-921.
[12] 袁寄望，陈文龙，赵铜铁钢，等.面向计算时效的高密度城市暴雨洪涝管网降维模拟技术[J].水资源保护，2024,40(6):69-77.YUAN Jiwang,CHEN Wenlong,ZHAO Tongtiegang,et al.Dimension reduction simulation technology of pipeline network in rainstorm floods of high-density city for computational timeliness[J].Water Resources Protection,2024,40(6):69-77.
[13] 杨芳，胡豫英，宋利祥，等.基于动态网格和局部时间步长技术的城市洪涝模型加速方法[J].清华大学学报(自然科学版),2024,64(12):2132-2143.YANG Fang,HU Yuying,SONG Lixiang,et al.Acceleration method of the urban flood model based on the dynamic grid system and local time step technology[J].Journal of Tsinghua University(Science and Technology),2024,64(12):2132-2143.
[14] 侯精明，潘鑫鑫，陈光照.基于AI的洪涝过程快速模拟预报方法及应用[J].中国防汛抗旱，2024,34(2):1-7.HOU Jingming,PAN Xinxin,CHEN Guangzhao.AI-driven rapid simulation and forecasting techniques for flooding processes and their practical application[J].China Flood & Drought Management,2024,34(2):1-7.
[15] 王德运，张露丹，吴祈，等.基于机器学习算法的洪涝灾害风险评估——以宜昌市为例[J].长江流域资源与环境，2023,32(8):1710-1723.WANG Deyun,ZHANG Ludan,WU Qi,et al.Flood Risk Assessment Based on Machine Learning Algorithms:A Case Study of Yichang City[J].Resources and Environment in the Yangtze Basin,2023,32(8):1710-1723.
[16] 陈国军，尹鹏，裴利强，等.基于Shader的CSG几何体的实时渲染[J].计算机与数字工程，2022,50(1):190-194.CHEN Guojun,YIN Peng,PEI Liqiang,et al.Real Time Rendering of CSG Geometry Based on Shader[J].Computer & Digital Engineering,2022,50(1):190-194.
Basic Information:
DOI：10.13928/j.cnki.wrdr.2026.02.003
China Classification Code:TU998.4
Citation Information:
[1]WANG Hangang,ZHOU Shan,HE Yong ,et al.Development and application of a forecasting and scheduling model for the “four-pre” framework in high-density urban flood control[J].Water Resources Development Research,2026,26(02):19-28.DOI:10.13928/j.cnki.wrdr.2026.02.003.
Fund Information:
国家重点研发计划项目(2021YFC3001000); 国家自然科学基金青年基金项目(52409052)
2025-09-10
2025-09-10
2025-09-10