期刊
FIRE SAFETY JOURNAL
卷 94, 期 -, 页码 33-44出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.firesaf.2017.09.005
关键词
Fire following earthquake; Ignition.; Probabilistic; Community; MAEViz/Ergo; Hazus
资金
- Belgian American Educational Foundation, Inc. (BAEF)
- United State of America (Fulbright)
- United State of Belgium (Fulbright)
- United State of Luxembourg (Fulbright)
- University through Project X grant
Fire following earthquake (FFE), a cascading multi-hazard event, can cause major social and economical losses in a community. In this paper, two existing post-earthquake fire ignition models that are implemented in Geographic Information System (GIS) based platforms, Hazus and MAEViz/Ergo, are reviewed. The two platforms and their FFE modules have been studied for suitability in community resiliency evaluations. Based on the shortcomings in the existing literature, a new post-earthquake fire ignition model is proposed using historical FFE. data and a probabilistic formulation. The procedure to create the database for the model using GIS-based tools is explained. The proposed model provides the probability of ignition at both census tract scale and individual buildings, and can be used to identify areas of a community with high risk of fire ignitions after an earthquake. The model also provides a breakdown of ignitions in different building types. Finally, the model is implemented in MAEViz/Ergo to demonstrate its application in a GIS-based software.
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