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Identification of Fire-prone Areas Using Spatial Analysis of the Forest Fire Location Data

  • Crisisonomy
  • Abbr : KRCEM
  • 2017, 13(4), pp.95-104
  • DOI : 10.14251/crisisonomy.2017.13.4.95
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general
  • Received : February 24, 2017
  • Accepted : April 10, 2017
  • Published : April 30, 2017

Heeyoung Ahn 1 Byung Doo Lee 1 Chun Geun Kwon 1 Sungyong Kim 1

1국립산림과학원

Accredited

ABSTRACT

This study identified the high-risk areas by analyzing fire occurrence patterns using the forest fires location data released by the Korea Forest Service. The areas where forest fires have occurred frequently were selected using nearest neighbor method and Kernel density method. The administrative areas were classified into five clusters based on the nearest distances between the fire occurrences, where a shorter distance means a more fire occurrence in the given area. The clusters in the first and second classes (having shorter distances) were found to be mostly major cities and areas on the east coast. The high density fire areas accounted for approximately 10% of the entire area of South Korea. In major cities, the numbers of fire occurrences were well over the national average. The results of this study can support the local governments to prioritize areas for forest fire prevention according to the predicted risks.

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