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An Relational Analysis between Humidity, Temperature and Fire Occurrence using Public Data

공공데이터를 이용한 습도 및 온도와 실화 발생 간의 관계분석

  • Song, Dong-Woo (Graduate School of Energy and Evironment, Seoul National Univ. of Science & Technology) ;
  • Kim, Ki-Sung (Graduate School of Energy and Evironment, Seoul National Univ. of Science & Technology) ;
  • Lee, Su-Kyung (Graduate School of Energy and Evironment, Seoul National Univ. of Science & Technology)
  • 송동우 (서울과학기술대학교 에너지환경대학원) ;
  • 김기성 (서울과학기술대학교 에너지환경대학원) ;
  • 이수경 (서울과학기술대학교 에너지환경대학원)
  • Received : 2014.03.03
  • Accepted : 2014.04.17
  • Published : 2014.04.30

Abstract

According to recent government's 3.0 operating paradigm for the opening and sharing of public information, relationship between humidity, temperature and fire occurrence were analyzed using the data in National Weather Service and National Emergency Management Agency. In order to analyze the relationships between humidity, temperature and fire occurrence, hourly frequency of fire occurrence compared with humidity and temperature ranges was suggested as an analysis method. Tendencies of fire occurrence frequencies were examined through this and characteristics of detailed attributes could be statistically identified. Results about hourly frequencies of fire occurrence by classifying the humidity ranges in each region showed increasing frequencies in all areas where the humidity is lower. Hourly frequencies of fire occurrence according to temperature ranges were identified to be similar in each area as well. In addition, characteristics of objects' attributes were analyzed including types of fire, igniting source of fire, initial complex, reasons of fire occurrence, and distinctive directions were suggested. Suggested method in this paper could be practically used when suggesting the frequency in each category in fire occurrence statistics of National Fire Information System.

최근 공공정보의 개방과 공유를 위한 정부 3.0 운영 패러다임에 따라 기상청과 소방방재청의 데이터를 활용하여 습도 및 온도와 화재 발생과의 관계를 분석하였다. 습도 및 온도와 화재 발생의 관계를 분석하기 위하여 습도 및 온도범위대비 시간당 화재 발생 빈도의 개념을 분석방법으로 제안하였다. 이를 통해 습도 및 온도에 따른 화재 발생 빈도의 경향을 파악해 보았으며, 세부속성에 대한 특성을 통계적으로 확인할 수 있었다. 지역별로 습도범위를 나누어 시간당 화재발생 빈도를 구한 결과, 모든 지역에서 습도가 낮을수록 빈도가 높아지는 비슷한 경향을 보였다. 온도범위에 따른 시간당 화재 발생 빈도도 지역별로 유사한 경향을 확인하였다. 또한, 화재유형, 발화열원, 최초 착화물, 발화요인 등 대상속성별 특성을 분석하였고, 특징적인 경향을 제시하였다. 본 논문에서 제안된 방법은, 국가화재정보시스템의 화재통계현황에서 범주별로 빈도 제시할 때 실용적으로 활용할 수 있을 것이다.

Keywords

References

  1. J. S. Oh, M. B. Lee, M. S. Kim, S. Y. Lee, J. H. Lim, S. H. An, J. Y. Lee, S. Y. Han, et al., "Development of Forest Fire Behavior Prediction and Monitoring Techniques", M1 01A280000400, Korea Forest Research Institute of the Korea Forest Service (2002).
  2. H. S. Park, S. Y. Lee, H. M. Chae and W. K. Lee, "A Study on the Development of Forest Fire Occurrence Probability Model using Canadian Forest Fire Weather Index-Occurrence of Forest Fire in Kangwon Province-", Korean Society of Hazard Mitigation, Vol. 9, No. 3, pp. 95-100 (2012).
  3. M. Holmes and Y. Wang "The Application of Data Mining Tools and Statistical Techniques to Identify Patterns and Changes in Fire Events", The University of Auckland Repert (2009).
  4. J. W. Ryu, E. J. Kim and J. W. Choi "Analysis of Regional Weather Factors Affecting Fire using Decision Trees", Proceedings of 2012 Fall Annual Conference, Korean Institute of Fire Science & Engineering, pp. 263-266 (2012).
  5. National Emergency Management Agency, National Fire Data System (NFDS), [Online]. Available: http://www.nfds.go.kr/.
  6. National Emergency Management Agency, "National Fire Classification System Manual" (2006).