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Assessing and mapping multi-hazard risk susceptibility using a machine learning technique
The aim of the current study was to suggest a multi-hazard probability assessment in Fars Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting the most effective factors on floods (12 factors), forest fires (10 factors), and landslides (10 factors), and use...
Zapisane w:
| Wydane w: | Sci Rep |
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| Główni autorzy: | , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group UK
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7035287/ https://ncbi.nlm.nih.gov/pubmed/32081935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-60191-3 |
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