Ke et al., 2020 - Google Patents
Urban pluvial flooding prediction by machine learning approaches–a case study of Shenzhen city, ChinaKe et al., 2020
View HTML- Document ID
- 1970823319414657079
- Author
- Ke Q
- Tian X
- Bricker J
- Tian Z
- Guan G
- Cai H
- Huang X
- Yang H
- Liu J
- Publication year
- Publication venue
- Advances in Water Resources
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Snippet
Urban pluvial flooding is a threatening natural hazard in urban areas all over the world, especially in recent years given its increasing frequency of occurrence. In order to prevent flood occurrence and mitigate the subsequent aftermath, urban water managers aim to …
- 238000010801 machine learning 0 title abstract description 76
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