| Autor: |
Andrew Smith, Paul D. Bates, Oliver Wing, Christopher Sampson, Niall Quinn, Jeff Neal |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-019-09282-y |
| Popis: |
Flood risk modelling neglects the location of people and assets. Here the authors applied machine learning techniques and high-resolution population data to reinvestigate the impact of population distributions on flood exposure and showed that populations are generally represented as risk-averse and largely avoiding obvious flood zones. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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