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L. Lu, C. Peng, J. P. Zhu, K. Satoh, D. Y. Wang and Y. L. Wang (2014) Fire Technology 50 851-872.
Date: 2015-03-29   Author: SKLFS  ,   Source: SKLFS  ,
 

L. Lu, C. Peng, J. P. Zhu, K. Satoh, D. Y. Wang and Y. L. Wang (2014) Correlation Between Fire Attendance Time and Burned Area Based on Fire Statistical Data of Japan and China. Journal/Fire Technology 50 851-872. [In English]
Web link: http://dx.doi.org/10.1007/s10694-012-0306-5
Keywords: ,Fire attendance time, Fire statistical data, Burned area, Log-normal, distribution, Power law function, SELF-ORGANIZED CRITICALITY, FOREST-FIRE, STATIONS, MODEL

Abstract: This paper studies the statistical law of fire attendance time and analyzes the correlation between fire attendance time and burned area based on the urban fire statistical data of Japan from 1995 to 2003 and in Jiangxi Province (China) from 2000 to 2010. The frequency of fire attendance time was better modeled by a lognormal distribution, and the probability density function for both Japan and China were formulated. The expectation of the lognormal distribution reflects the average level of fire attendance time. This study is the first to report that the distribution law of the burned area in each fire attendance time observes power function. And they are valid within 12 min of fire attendance time. The larger absolute value of the exponent of the power law function subjects to the larger probability of small-scale fire and the smaller probability of large-scale fire. It decreases as the fire attendance time increases. This indicates that the fire control ability becomes poor with longer fire attendance time.

 
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