A New Method for Urban Storm Flood Inundation Simulation with Fine CD-TIN Surface

Water

卷:6

Jianchun Zheng¹  Wei Zhu¹  Miaole Hou²  Yizhou Yang³  Lixin Wu⁴  Zhifeng Li⁵ 

[1] Beijing Research Center of Urban Systems Engineering, Beike Building, No. 27, West 3rd Ring Rd North, Haidian District, Beijing 100089, China;

[2] Computer Network Teaching and Information Department, Beijing University of Civil Engineering and Architecture, No.1 Zhanlanguan Road, Beijing 10004, China;

[3] Institute for Geo-Informatics and Digital Mine Research, Northeastern University, Shenyang 110819, China;

[4] Internet of Things Perception Mine Research Center, China University of Mining and Technology,Xuzhou 221008, China;

[5] Key Laboratory of Environment Change and Natural Disaster, Beijing Normal University,Beijing 100875, China;

关键词: urban inundation;    numerical simulation;    CD-TIN;    depression polygon;    water runoff;    risk mapping;   

DOI  :  10.3390/w6051151

来源: DOAJ

【 摘 要 】

Urban storm inundation, which frequently has dramatic impacts on city safety and social life, is an emergent and difficult issue. Due to the complexity of urban surfaces and the variety of spatial modeling elements, the lack of detailed hydrological data and accurate urban surface models compromise the study and implementation of urban storm inundation simulations. This paper introduces a Constrained Delaunay Triangular Irregular Network (CD-TIN) to model fine urban surfaces (based on detailed ground sampling data) and subsequently employs a depression division method that refers to Fine Constrained Features (FCFs) to construct computational urban water depressions. Storm-runoff yield is placed through mass conservation to calculate the volume of rainfall, runoff and drainage. The water confluences between neighboring depressions are provided when the water level exceeds the outlet of a certain depression. Numerical solutions achieved through a dichotomy are introduced to obtain the water level. Therefore, the continuous inundation process can be divided into different time intervals to obtain a series of inundation scenarios. The main campus of Beijing Normal University (BNU) was used as a case study to simulate the “7.21” storm inundation event to validate the usability and suitability of the proposed methods. In comparing the simulation results with in-situ observations, the proposed method is accurate and effective, with significantly lower drainage data requirements being obtained. The proposed methods will also be useful for urban drainage design and city inundation emergency preparations.

【 授权许可】

Unknown