Etiological study on forest fire accidents using Bow-tie model and Bayesian network
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11069-024-06690-2.pdf
Reference65 articles.
1. Acarbay C, Kiyak E (2020) Risk mitigation in unstabilized approach with fuzzy bayesian bow-tie analysis. Aircr Eng Aerosp Technol 92(10):1513–1521
2. Arca D, Hacisalihoglu M, Kutoglu SH (2020) Producing forest fire susceptibility map via multi–criteria decision analysis and frequency ratio methods. Nat Hazards 104(01):73–89
3. Arganaraz JP, Radeloff VC, Bar-Massada A et al (2017) Assessing wildfire exposure in the Wildland-Urban Interface area of the mountains of central Argentina. J Environ Manage 196:499–510
4. Bai MX, Zhang ZC, Yang EL (2023) A fuzzy bayesian network based method for CO2 leakage risk evaluation during geological sequestration process. Geoenergy Sci Eng 222:211423
5. Bhadoria RS, Pandey MK, Kundu P (2021) RVFR: Random vector forest regression model for integrated & enhanced approach in forest fires predictions. Ecol Inf 101471
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