Abstract
A fuzzy logic-based methodology modeling the early warning of risk to manage grassland fires in Inner Mongolia is presented. By establishing a membership function, this study first analyzed grassland fire hazard and vulnerability and subsequently integrated hazard and vulnerability using the fuzzy logic method to develop the Grassland Fire Risk Early Warning Index. The key parameters in the model were obtained by methods of undetermined parameters. The reliability of early warning results was demonstrated using historical grassland fires and grassland fire disasters. The results from this study are intended to support local, provincial, and national government agencies in making decisions in resource allocation, high-level planning and raising the public’s risk awareness of grassland fires.
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Acknowledgments
Research was funded by the National Natural Science Foundation of China (Grant No. 41301584), the youth foundation of Jilin province (No. 20140520156JH), and the Planning Subject of ‘the twelfth five-year-plan’ in Social Development in China (No. 2013BAK05B01-02).
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Liu, Xp., Zhang, Jq. & Tong, Zj. Modeling the early warning of grassland fire risk based on fuzzy logic in Xilingol, Inner Mongolia. Nat Hazards 75, 2331–2342 (2015). https://doi.org/10.1007/s11069-014-1428-5
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DOI: https://doi.org/10.1007/s11069-014-1428-5