Urban pluvial flooding prediction by machine learning approaches - a case study of Shenzhen city, China (2020)
Attributed to:
Sustainable Solutions for Managing Compound Flood Risks under Future Uncertainties: The Case of Shanghai City and the Yangtze River Delta Region
funded by
Newton Fund
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.advwatres.2020.103719
Publication URI: http://dx.doi.org/10.1016/j.advwatres.2020.103719
Type: Journal Article/Review
Parent Publication: Advances in Water Resources