
Proceedings Paper
A mathematical model for flood loss estimation based on spatial gridFormat | Member Price | Non-Member Price |
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Paper Abstract
Rapid and efficient estimation of flood loss is very important for flood disaster mitigation measurement. Geographic
information system and remote sensing are important tools for flood damage evaluation. This paper presents a basic
framework of flood loss estimation based on GIS and remote sensing. It illustrates the work flow which includes the
extraction of water extent and the flood damage calculation etc. Then a mathematical model for flood loss estimation
based on spatial grid is built. The model focuses on the scope of rural agriculture product, linear infrastructures and
population causality, and it is formulated based on stage-damage relationships between different flood inundation
parameters and land use features.
A case study demonstrates the real world application of the model to Tuojiang river basin in Sichuan province, China.
The estimation work is undergone through a storm loss estimation system developed with visual basic programming
language and Arc Objects. It calculated one flood event in 2001 in Tuojiang River.
Paper Details
Date Published: 7 August 2007
PDF: 8 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67541R (7 August 2007); doi: 10.1117/12.764914
Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications
Peng Gong; Yongxue Liu, Editor(s)
PDF: 8 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67541R (7 August 2007); doi: 10.1117/12.764914
Show Author Affiliations
Qiang Zhu, Peking Univ. (China)
Xiuwan Chen, Peking Univ. (China)
Xiuwan Chen, Peking Univ. (China)
Haibo Yang, China Institute of Water Resources and Hydropower Research (China)
Zhaoqiang Huang, Peking Univ. (China)
Zhaoqiang Huang, Peking Univ. (China)
Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications
Peng Gong; Yongxue Liu, Editor(s)
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