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Self-organized criticality judgment and extreme statistics analysis of major urban fires 被引量:6

Self-organized criticality judgment and extreme statistics analysis of major urban fires
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摘要 The spatial (economic loss) and temporal characteristics of urban fires were analyzed employing relevant statistical methods. A fractal structure in terms of the power-law relation between fire frequency and economic loss was found on a spatial scale, and an exponential relation between frequency and time interval was found on a temporal scale. Thus, urban fire does not meet the rigorous criteria of self-organized criticality. In addition, based on the spatial power-law distribution characteristics, a correlation model of the frequency and scale of loss due to urban fire was established using the extremum statistical method. This model was then applied to the case analysis of Hefei and the probability of major fire incidents in the future was predicted. The spatial (economic loss) and temporal characteristics of urban fires were analyzed employing relevant statistical methods. A fractal structure in terms of the power-law relation between fire frequency and economic loss was found on a spatial scale, and an exponential relation between frequency and time interval was found on a temporal scale. Thus, urban fire does not meet the rig- orous criteria of self-organized criticality. In addition, based on the spatial power-law distribution characteristics, a correlation model of the frequency and scale of toss due to urban fire was established using the extremum statistical method. This model was then applied to the case analysis of Hefei and the probability of major fire incidents in the future was predicted.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2011年第6期567-572,共6页
基金 supported by the National Natural Science Foundation of China (91024025)
关键词 自组织临界性 城市火灾 统计分析 统计方法 时空特征 经济损失 时间尺度 相关模型 self-organized criticality, extreme statistics, correlation model, major urban fires
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