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Predictive analysis of fire frequency based on daily temperatures

Author

Listed:
  • Dingli Liu

    (Central South University)

  • Zhisheng Xu

    (Central South University)

  • Chuangang Fan

    (Central South University)

Abstract

Frequent fires can affect ecosystems and public safety. The occurrence of fires has varied with hot and cold months in China. To analyze how temperature influences fire frequency, a fire dataset including 20,622 fires and a historical weather dataset for Changsha in China were gathered and processed. Through data mining, it was found that the mean daily fire frequency tended to be the lowest in the temperature range of (20 °C, 25 °C] and should be related to the low utilization rate of electricity. Through polynomial fitting, it was found that the prediction performance using the daily minimum temperature was generally better than that using the daily maximum temperature, and a quadruplicate polynomial model based on the mean daily minimum temperature of 3 days (the day and the prior 2 days) had the best performance. Then, a temperature-based fire frequency prediction model was established using quadruplicate polynomial regression. Moreover, the results are contrary to the content stipulated in China’s national standard of urban fire-danger weather ratings GB/T 20487-2006. The findings of this study can be applied as technical guidance for fire risk prediction and the revision of GB/T 20487-2006.

Suggested Citation

  • Dingli Liu & Zhisheng Xu & Chuangang Fan, 2019. "Predictive analysis of fire frequency based on daily temperatures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1175-1189, July.
    • Handle: RePEc:spr:nathaz:v:97:y:2019:i:3:d:10.1007_s11069-019-03694-1
    DOI: 10.1007/s11069-019-03694-1
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    1. Shiva Salehi & Ali Ardalan & Gholamreza Garmaroudi & Abbas Ostadtaghizadeh & Abbas Rahimiforoushani & Armin Zareiyan, 2019. "Climate change adaptation: a systematic review on domains and indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(1), pages 521-550, March.
    2. Anirban Khastagir, 2018. "Fire frequency analysis for different climatic stations in Victoria, Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 787-802, September.
    3. Xu Yue & Nadine Unger, 2018. "Fire air pollution reduces global terrestrial productivity," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    4. Xiaobing Yu, 2017. "Disaster prediction model based on support vector machine for regression and improved differential evolution," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 959-976, January.
    5. Shruti Sachdeva & Tarunpreet Bhatia & A. K. Verma, 2018. "GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1399-1418, July.
    6. Abdelheq Guettiche & Philippe Guéguen & Mostefa Mimoune, 2017. "Seismic vulnerability assessment using association rule learning: application to the city of Constantine, Algeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1223-1245, April.
    7. Olivier Deschênes & Michael Greenstone, 2011. "Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 152-185, October.
    8. Dana Anderson & Rachel A. Davidson & Keisuke Himoto & Charles Scawthorn, 2016. "Statistical Modeling of Fire Occurrence Using Data from the Tōhoku, Japan Earthquake and Tsunami," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 378-395, February.
    9. Zhenbo Wang & Xiaorui Zhang & Bo Xu, 2015. "Spatio-Temporal Features of China’s Urban Fires: An Investigation with Reference to Gross Domestic Product and Humidity," Sustainability, MDPI, vol. 7(7), pages 1-19, July.
    10. Ding, Long & Khan, Faisal & Abbassi, Rouzbeh & Ji, Jie, 2019. "FSEM: An approach to model contribution of synergistic effect of fires for domino effects," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 271-278.
    11. Hamed Adab & Kasturi Kanniah & Karim Solaimani, 2013. "Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1723-1743, February.
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