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Distribution and correlation analysis of wildfire and weather data in Japan
作者姓名:SONG Weiguo  WANG Jian  Kohyu SATOH
作者单位:State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China,State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China,National Research Institute of Fire and Disaster, Tokyo, Japan
基金项目:国家重点基础研究发展计划(973计划),国家自然科学基金
摘    要:To establish the wildfire danger rating system, detailed data of wildfire and some related parameters such as weather,population and tree species are required. In this paper, the raw data of weather parameters in Japan are first expanded into more detailed data. The daily value of each weather parameter in each third-level mesh, which is about 1 km × 1 km in size, from year 1999 to 2000 is calculated by means of inverse distance weighted interpolation. Expansion results for third-level meshes are demonstrated. Fire probability for each parameter is calculated and analyzed. It is found that the dependency relation of fire probability on some parameters have surprisingly regular format. The data calculated and analyzed in the paper and the results may act as a basic database for wildfire researchers, and are expected to promote the study of wildfire danger rating method and the development of such systems.

关 键 词:wildfire    meteorology  interpolation    danger  rating  system    fire  distribution

Distribution and correlation analysis of wildfire and weather data in Japan
SONG Weiguo,WANG Jian,Kohyu SATOH.Distribution and correlation analysis of wildfire and weather data in Japan[J].Progress in Natural Science,2005,15(4):363-367.
Authors:SONG Weiguo  WANG Jian  Kohyu SATOH
Institution:1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China
2. National Research Institute of Fire and Disaster, Tokyo, Japan
Abstract:To establish the wildfire danger rating system, detailed data of wildfire and some related parameters such as weather,population and tree species are required. In this paper, the raw data of weather parameters in Japan are first expanded into more detailed data. The daily value of each weather parameter in each third-level mesh, which is about 1 km × 1 km in size, from year 1999 to 2000 is calculated by means of inverse distance weighted interpolation. Expansion results for third-level meshes are demonstrated. Fire probability for each parameter is calculated and analyzed. It is found that the dependency relation of fire probability on some parameters have surprisingly regular format. The data calculated and analyzed in the paper and the results may act as a basic database for wildfire researchers, and are expected to promote the study of wildfire danger rating method and the development of such systems.
Keywords:wildfire  meteorology interpolation  danger rating system  fire distribution
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