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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...
Gorde:
| Argitaratua izan da: | Sci Rep |
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| Egile Nagusiak: | , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Publishing Group UK
2020
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| Gaiak: | |
| Sarrera elektronikoa: | 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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