A comprehensive evaluation model for forest fires based on MCDA and machine learning: A case study of Zhenjiang City, China
Author:
Funder
the key research and development program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10668-024-05125-z.pdf
Reference82 articles.
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2. Akinola, O. V., & Adegoke, J. (2019). Assessment of forest fire vulnerability zones in Missouri, United States of America. International Journal of Sustainable Development & World Ecology, 26(3), 251–257. https://doi.org/10.1080/13504509.2018.1551815
3. Altamirova, E., & Perminov, V. A. (2019). Mathematical modeling of forest canopy ignition by thermal radiation from a hydrocarbon explosion. Combustion, Explosion, and Shock Waves, 55(5), 574–579. https://doi.org/10.1134/S0010508219050083
4. Behera, B., Haldar, A., & Sethi, N. (2023a). Agriculture, food security, and climate change in South Asia: A new perspective on sustainable development. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03552-y
5. Behera, B., Sucharita, S., Patra, B., & Sethi, N. (2023b). A blend of renewable and non-renewable energy consumption on economic growth of India: The role of disaggregate energy sources. Environmental Science and Pollution Research, 31(3), 3902–3916. https://doi.org/10.1007/s11356-023-31372-0
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