📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms (2021)

First Author: Khosravi K

Attributed to: Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient funded by UKRI

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.oceaneng.2021.109721

Publication URI: http://dx.doi.org/10.1016/j.oceaneng.2021.109721

Type: Journal Article/Review

Parent Publication: Ocean Engineering