EGU2020-9827
https://doi.org/10.5194/egusphere-egu2020-9827
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

A study of wildfire risk using environmental indicators

Shao-Wei Wu1 and Chao-Yuan Lin2
Shao-Wei Wu and Chao-Yuan Lin
  • 1Department of Soil and Water Conservation,National Chung Hsing University, Taiwan (willy1104cat93@gmail.com)
  • 2Department of Soil and Water Conservation,National Chung Hsing University, Taiwan (cylin@water.nchu.edu.tw)

The frequently wildfire-prone Dadu Terrace is located on the outskirts of a densely populated city. According to the Taichung Fire Department’s 2013-2017 statistics, there are more than 400 wildfires a year. In particular, hundreds of wildfires occur each month during the dry season, and the mobilization of firefighters will increase the burden of social resources. Wildfire damage and smoke can also endanger protected objects nearby. Combined with the characteristics of agricultural farming, the seasonal variation of NDVI extracted from the satellite images can reflect the land cover category. Wildfires in the Dadu Terrace often accidentally caused by human interference, vegetation change over a short time can be as the factor of artificial interference for analyzing the time-based wildfire frequency. Results show that March to April is the peak period of wildfire occurrence, which consistent with the historic records of wildfire reporting. In addition to the temporal distribution of wildfire occurrence, this study also established a model for estimating the spatial distribution of wildfire risk at the mostly occurring period using the concepts of risk analysis. The model can effectively reflect the distribution of hotspots where wildfires occur, and can be the reference for the relevant authorities on the countermeasures of wildfire disaster prevention and control.

Keywords: Wildfire, Environmental indicators, Risk assessment

How to cite: Wu, S.-W. and Lin, C.-Y.: A study of wildfire risk using environmental indicators, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9827, https://doi.org/10.5194/egusphere-egu2020-9827, 2020

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