Paper
14 December 2015 Dynamic building risk assessment theoretic model for rainstorm-flood utilization ABM and ABS
Wenze Lai, Wenbo Li, Hailei Wang, Yingliang Huang, Xuelian Wu, Bingyun Sun
Author Affiliations +
Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98150Y (2015) https://doi.org/10.1117/12.2203573
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Flood is one of natural disasters with the worst loss in the world. It needs to assess flood disaster risk so that we can reduce the loss of flood disaster. Disaster management practical work needs the dynamic risk results of building. Rainstorm flood disaster system is a typical complex system. From the view of complex system theory, flood disaster risk is the interaction result of hazard effect objects, rainstorm flood hazard factors, and hazard environments. Agent-based modeling (ABM) is an important tool for complex system modeling. Rainstorm-flood building risk dynamic assessment method (RFBRDAM) was proposed using ABM in this paper. The interior structures and procedures of different agents in proposed meth had been designed. On the Netlogo platform, the proposed method was implemented to assess the building risk changes of the rainstorm flood disaster in the Huaihe River Basin using Agent-based simulation (ABS). The results indicated that the proposed method can dynamically assess building risk of the whole process for the rainstorm flood disaster. The results of this paper can provide one new approach for flood disaster building risk dynamic assessment and flood disaster management.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenze Lai, Wenbo Li, Hailei Wang, Yingliang Huang, Xuelian Wu, and Bingyun Sun "Dynamic building risk assessment theoretic model for rainstorm-flood utilization ABM and ABS", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98150Y (14 December 2015); https://doi.org/10.1117/12.2203573
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KEYWORDS
Floods

Hazard analysis

Complex systems

Geographic information systems

Natural disasters

Remote sensing

Statistical analysis

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