DocumentCode :
3025081
Title :
Triangular-prism-based algorithm on urban flood inundation simulation by employing dichotomy numerical solution
Author :
Zhifeng Li ; Lixin Wu ; Zhenxin Zhang ; Zhihua Xu ; Zhi Wang
Author_Institution :
Key Lab. of Environ. Change & Natural Disaster, Beijing Normal Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
790
Lastpage :
793
Abstract :
Triangular Irregular Network (TIN), especially Constrained Delaunay Triangular Irregular Network (CD-TIN), has been proven to be more accurate for the modeling of complex urban terrain, compared with raster represented digital elevation model (DEM). DEM with high precision is of importance to simulate urban flood inundation. In the paper, the triangular-prism sets are introduced to calculate the inundation water surface within each basin. It is worth mentioning that the explored dichotomy numerical solution is efficient on the simulation of the inundation depth. The case of ramp-shape urban terrain validates the correctness of the algorithm. And the application of the “7.21” storm in main campus of Beijing Normal University (BNU) verifies the usability and practicality of the algorithm. The cases demonstrate the feasibility of the proposed algorithm for simulation of urban flood inundation associated with urban surface runoff and drainage system capacity information.
Keywords :
digital elevation models; floods; hydrological techniques; terrain mapping; Beijing Normal University; dichotomy numerical solution; digital elevation model; drainage system capacity information; ramp-shape urban terrain; triangular irregular network; triangular-prism sets; triangular-prism-based algorithm; urban flood inundation simulation; urban surface runoff; urban terrain; Computational modeling; Educational institutions; Floods; Numerical models; Object oriented modeling; Storms; Tin; CD-TIN; Triangular-prism; dichotomy numerical solution; inundation simulation; urban flood;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721276
Filename :
6721276
Link To Document :
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