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Time-scaling properties of high-casualty fires in China

机译:中国高伤亡火灾的时间缩放特性

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High-casualty fires (HCFs) involving > 3 fatalities derived from the Fire Statistical Year Book of China and Chinese Fire Services from 2002-2010 were analyzed. The aim of this study was to investigate the time-scaling properties of HCFs. The time-scaling properties were detected by means of Fano Factor (FF), Allan Factor (AF) and detrended fluctuation analysis (DFA). The results of FF and AF show that the HCF sequences with death > 3 and death > 4 exhibit obvious time scaling behavior after the fractal onset times. The scaling exponents of FF and AF decrease significantly with increasing fatality, which reflects that HCF sequences with more fatalities tend to behave as Poisson process. The sequence of HCFs with death > 6 can be considered as a Poisson process according to the comparison of FF (AF) curve and Poissonian 95% confidence curve. The DFA scaling exponent of HCF sequence involving fatality > 3 is approximate 0.551±0.005, indicating that this sequence exhibits long-range correlations. With the increase of fatality threshold the DFA scaling exponent gradually decreases to about 0.5, which reflects that the HCFs with high fatality levels are likely to be uncorrelated. Furthermore, the sequence of HCFs with death > 6 can be regarded as uncorrelated because its DFA scaling exponent is 0.496±0.003.
机译:分析了高伤亡火灾(HCFS)>从2002 - 2010年的消防统计年度书籍和中国消防服务中衍生的3次死亡人口。本研究的目的是研究HCFS的时间缩放性质。通过FANO因子(FF),ALLAN因子(AF)和减法的波动分析(DFA)来检测时间缩放性质。 FF和AF的结果表明,HCF序列与死亡> 3和死亡> 4在分形发作时间后表现出明显的时间缩放行为。 FF和AF的扩展指数随着患者的增加而显着降低,这反映了具有更多死亡率的HCF序列倾向于表现为泊松过程。根据FF(AF)曲线和Poissonian 95%置信曲线的比较,可以认为HCFS的序列> 6可以被认为是泊松过程。涉及死亡率> 3的HCF序列的DFA缩放指数近似值0.551±0.005,表明该序列表现出远程相关性。随着死亡率的增加,DFA缩放指数逐渐降低至约0.5,这反映了具有高死亡率水平的HCF可能是不相关的。此外,具有死亡> 6的HCFS序列可以被视为不相关,因为其DFA缩放指数为0.496±0.003。

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