Paper
7 August 2007 A mathematical model for flood loss estimation based on spatial grid
Qiang Zhu, Xiuwan Chen, Haibo Yang, Zhaoqiang Huang
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiang Zhu, Xiuwan Chen, Haibo Yang, and Zhaoqiang Huang "A mathematical model for flood loss estimation based on spatial grid", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67541R (7 August 2007); https://doi.org/10.1117/12.764914
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Cited by 1 scholarly publication.
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KEYWORDS
Floods

Remote sensing

Geographic information systems

Agriculture

Data modeling

Mathematical modeling

Roads

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