LI Zhifeng, WU Lixin, ZHANG Zhenxin, YANG Yizhou. CD-TIN Based Urban Inundation Simulation Method and Its Experiment[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1080-1085. DOI: 10.13203/j.whugis20120098
Citation: LI Zhifeng, WU Lixin, ZHANG Zhenxin, YANG Yizhou. CD-TIN Based Urban Inundation Simulation Method and Its Experiment[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1080-1085. DOI: 10.13203/j.whugis20120098

CD-TIN Based Urban Inundation Simulation Method and Its Experiment

Funds: The Natural Science Foundation Key Program of Beijing,No.8111003;the National 973Program of China,No.2011CB707102;the Fundamental Research Funds for Central Universities,No.105565GK.
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  • Author Bio:

    LI Zhifeng,PhD candidate,specializes in spatial information methods and technologies,disaster assessment and risk simula-tion.

  • Corresponding author:

    WU Lixin

  • Received Date: March 20, 2013
  • Revised Date: September 04, 2014
  • Published Date: September 04, 2014
  • Objective Urban storm floods cause dramatically property damage and severely influence on city life.It is an emergency issue and a knotty problem to be solved.Much research focuses on raster-basedDEM and hydrodynamic equations to simulate inundation processes.Nevertheless,current methodsstrictly require hydrology data and are unable to model accurately the urban terrain features.By em-ploying a constrainted Delaunay triangular irregular network(CD-TIN),complex urban surfaces areprecisely modeled in detail.Urban basins,serving as simulation units,are generated based on the wa-ter flow rules for triangular surface.Referring to the capacity of the drainage and complexity of urbanterrain features,we introduce the basin runoff yield and confluence method for spatio-temporal calcu-lation step by step.In order to obtain the inundated extent and water depth,a numerical solution isput forward based on the concept of triangular-prism sets through dichotomy.The main campus ofBeijing Normal University(BNU)is used as a case to construct the CD-TIN and to simulate the“7.21storm”inundation event,2012,to test the usability and suitability of the method presented.Simula-tion water depths are compared with the observation data,showing that the CD-TIN based method forurban inundation simulation is effective and reliable.The CD-TIN based simulation method will beuseful for urban flood emergency preparation,storm flood risk analysis and urban reforms in potentialinundation areas.
  • [1]
    Djordjevic S,Prodanovic D,MaksimoviˇC.An Ap-proach to Simulation of Dual Drainage[J].WaterScience and Technology,1999,39(9):95-103[2] Li Weifeng,Chen Qiuwen,Mao Jingqiao.Develop-ment of 1Dand 2DCoupled Model to Simulate Ur-ban Inundation:An Application to Beijing OlympicVillage[J].Chinese Science Bulletin,2009,54(9):1613-1621[3] Qiu Jinwei,Li Na,Cheng Xiaotao,et al.The Sim-ulation System for Heavy Rainfall in Tianjin City[J].Journal of Hydraulic Engineering,2000(11):34-42(仇劲卫,李娜,程晓陶,等.天津市城区暴雨沥涝仿真模拟系统[J].水利学报,2000,(11):34-42)[4] Chen J,Hill A A,Urbano L D.A GIS-based Mod-el for Urban Flood Inundation[J].Journal of Hy-drology,2009,373(1/2):184-192[5] Wang Lin,Qin Qiming,Li Jizhi,et al.Study onthe Disaster Analysis Model of Water-Logging inCity Based on GIS[J].Survey Science,2004,29(3):48-53(王林,秦其明,李吉芝,等.基于GIS的城市内涝灾害分析模型研究[J].测绘科学,2004,29(3):48-53)[6] Yin Zhane,Xu Zhiyuan,Yin Jie,et al.Small-ScaleBased Scenario Modeling and Disaster Risk Assess-ment of Urban Rainstorm Water-logging[J].ActaGeographica Sinica2010,65(5):553-562(尹占娥,许世远,殷杰,等.基于小尺度的城市暴雨内涝灾害情景模拟与风险评估[J].地理学报,2010,65(5):553-562)[7] Yu Ye,Liu Xiaoping,Yuan Xiaohui,et al.CityModeling and Simulation for Flood Disaster Assess-ment[J].Journal of System Simulation,2010,22(9):2136-2140(余烨,刘晓平,袁晓辉,等.面向洪水灾害评估的城市建模与仿真[J].系统仿真学报,2010,22(9):2136-2140)[8] Liu Y,Snoeyink J.Flooding Triangulated Terrain[M].Berlin,Heidelberg:Springer,2005[9] Li Zhifeng,Wu Lixin,Zhang Zhenxin,et al.BasinDivision Method for Tin Surface Based on Face-point-Edge Flow Confluence[C].The 35th ISRSE,Beijing,2013[10]Beijing General Municipal Engineering Design andResearch Institute.Water Supply and Drainage De-1084 第39卷第9期 李志锋等:利用CD-TIN的城区暴雨内涝淹没模拟方法及其实验sign Manual.Volume 5th:Urban Drainage[M].Beijing:China Building Industry Press,2004(北京市市政工程设计研究总院,给水排水设计手册.第5册:城镇排 水 [M].北 京:中 国 建 筑 工 业 出 版 社,2004)[11]Hao Zhenchun,Li Li,Wang Jiahu,et al.Distribu-ted Hydrological Model Theory and Method[M].Beijing:Science Press,2010(郝振纯,李丽,王加虎,等.分布式水文模型理论与方法[M].北京:科学出版社,2010)[12]Li Zhifeng,Wu Lixin,Zhang Zhenxin,et al.Tri-angular-Prism-Based Urban Flood Inundation Simu-lation Algorithm Employing Dichotomy SolvingMethod[C].IGARSS,Melbourne,Australia,2013)CD-TIN Based Urban Inundation Simulation Method and Its ExperimentLI Zhifeng1 WU Lixin1,2 ZHANG Zhenxin3 YANG Yizhou41 Key Laboratory of Environment Change and Natural Disaster,Beijing Normal University,Beijing,100875
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