Numerical simulation study on the evolution of floods in the Gongquxi Storage and Retention Area—A case study in the Haihe “23·7” basin-wide extreme flood
WANG Weiqi, LIN Wenqing, WANG Fan, BI Wuxia, ZHANG Dawei, CHAI Fuxin
1. China Institute of Water Resources and Hydropower Research, Beijing 100038;
2. Research Center on Flood & Drought Disaster Prevention and Reduction of the Ministry of Water Resources, Beijing 100038
Abstract：The Haihe River Basin experienced a basin-wide extreme flood, known as the "23·7" flood, due to the very heavy rainfall caused by northward movement of No. 2305 Typhoon Doksuri and its interaction with cold air. To effectively respond to this disaster providing critical flood decision supporting, a flood analysis model was developed for the operated flood storage and detention areas by the Research Center on Flood & Drought Disaster Prevention and Reduction(Flood and Drought Disaster Defense Center) of the Ministry of Water Resources, the China Institute of Water Resources and Hydropower Research(IWHR).This study utilized the FASFLOOD software based on a general high-performance flood analysis and calculation tool developed by IWHR, in conjunction with multi-temporal SAR image monitoring and analysis results, to simulate the flood routing in the Gongquxi Flood Storage and Detention Area within the Haihe River Basin. The results comprehensively depict the evolution process and retention distribution of floods in the Gongquxi Flood Storage and Detention Area, providing scientific reference for decision-making and management related to the opeartion of flood storage and detention areas, thereby effectively supporting flood defense efforts.
王玮琦, 林文青, 王帆, 毕吴瑕, 张大伟, 柴福鑫. 共渠西蓄滞洪区洪水演进数值模拟研究——以海河“23·7”流域性特大洪水为例[J]. 中国防汛抗旱, 2023, 33(9): 45-49,66.
WANG Weiqi, LIN Wenqing, WANG Fan, BI Wuxia, ZHANG Dawei, CHAI Fuxin. Numerical simulation study on the evolution of floods in the Gongquxi Storage and Retention Area—A case study in the Haihe “23·7” basin-wide extreme flood. journal1, 2023, 33(9): 45-49,66.
[1] 张建云, 宋晓猛, 王国庆, 等.变化环境下城市水文学的发展与挑战——I.城市水文效应[J].水科学进展, 2014, 25(4):12.
[2] CUNGE J A. On The Subject Of A Flood Propagation Computation Method(Musklngum Method)[J]. Journal of Hydraulic Research, 1969, 7(2):205-230.
[3] 张大伟, 向立云.防洪减灾理论及技术研究进展[J].中国防汛抗旱, 2022, 32(1):7-15, 33.
[4] VREUGDENHIL C B. Numerical methods for shallow-water flow[M].Berlin:Springer Science&Business Media, 1994.
[5] LIANG Q, SMITH L S. A high-performance integrated hydrodynamic modelling system for urban flood simulations[J]. Journal of Hydroinformatics, 2015, 17(4):518-533.
[6] SIMONS F, BUSSE T, HOU J, et al. A model for overland flow and associated processes within the Hydroinformatics Modelling System[J].Journal of Hydroinformatics, 2014, 16(2):375-391.
[7] 刘昌军, 吕娟, 翟晓燕, 等.河南"21·7"暴雨洪水风险模拟及对比分析[J].水利水电快报, 2021, 42(9):8-14.
[8] 水利部防洪抗旱减灾工程技术研究中心.通用高性能洪水分析计算软件FASFLOOD[Z]. http://cdr.iwhr.com/fhkhjzzx/shzhzyfxrjxz/webinfo/2022/11/1668157350789555.htm, 2021.
[9] 侯精明, 张兆安, 马利平, 等.基于GPU加速技术的非结构流域雨洪数值模型[J].水科学进展, 2021, 32(4):567-576.
[10] SMITH L S, LIANG Q. Towards a generalised GPU/CPU shallow-flow modelling tool[J].Computers&Fluids, 2013, 88:334-343.
[11] HOU J, SIMONS F, MAHGOUB M, et al. A robust well-balanced model on unstructured grids for shallow water flows with wetting and drying over complex topography[J]. Computer Methods in Applied Mechanics and Engineering, 2013, 257:126-149.
[12] HOU J, LIANG Q, ZHANG H, et al. An efficient unstructured MUSCL scheme for solving the 2D shallow water equations-ScienceDirect[J].Environmental Modelling&Software, 2015, 66:131-152.
[13] 张大伟, 权锦, 马建明, 等.基于Godunov格式的流域地表径流二维数值模拟[J].水利学报, 2018, 49(7):787-794, 802.
[14] 河南省水利勘测设计研究有限公司.共渠西蓄滞洪区洪水风险图编制成果报告[R].河南:河南省水利勘测设计研究有限公司, 2015.
[15] 李炜.水力计算手册[M].北京:中国水利水电出版社, 2006.
2023, Vol. 33 
