PREDICTION OF FOREST FIRE USING WIRELESS SENSOR NETWORK

Authors

  • DM Gao
  • XF Yin
  • YF Liu

Keywords:

Fire management support systems, Canadian Forest Fire Weather Index System, fire regime, fire weather

Abstract

High incidence and destructiveness of forest fire determine the importance of forest fire prevention. Based upon local weather observations, one of the most recognised and widely applied fire-danger rating systems, the Canadian Forest Fire Weather Index (CFFWI) System, was found highly correlated with forest fire occurrence. This fire-danger system was evaluated and calibrated for Nanjing, the capital of Jiangsu Province, China. This wireless sensor network was utilised for collecting 24-hour weather data continuously. The components of CFFWI System, based upon the weather data for this region, provided insight of possibility of forest fires. The system showed that spring and autumn were seasons when the occurrences of forest fires were more dangerous. The components of the system indicated the possible dangers of the ignition of forest before the fire started. The components of CFFWI System are good indicators of fire danger in the Nanjing region of China and can be expended to build a working fire-danger rating system for the region.

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Published

2015-07-29

How to Cite

DM Gao, XF Yin, & YF Liu. (2015). PREDICTION OF FOREST FIRE USING WIRELESS SENSOR NETWORK. Journal of Tropical Forest Science (JTFS), 27(3), 342–350. Retrieved from https://jtfs.frim.gov.my/jtfs/article/view/945

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Section

Articles
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