dc.contributor.author | NGUYEN, Huu Duy | |
dc.contributor.author | NGUYEN, Quoc-Huy | |
dc.contributor.author | DANG, Dinh Kha | |
dc.contributor.author | VAN, Chien Pham | |
dc.contributor.author | TRUONG, Quang Hai | |
dc.contributor.author | PHAM, Si Dung | |
dc.contributor.author | BUI, Quang-Thanh | |
dc.contributor.author | PETRISOR, Alexandru-Ionut | |
dc.date.accessioned | 2024-06-13T11:05:15Z | |
dc.date.available | 2024-06-13T11:05:15Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | NGUYEN, Huu Duy et al. A novel flood risk management approach based on future climate and land use change scenarios. In: Science of The Total Environment, 2024, vol. 921, pp. 171204. ISSN 0048-9697. | en_US |
dc.identifier.issn | 0048-9697 | |
dc.identifier.uri | https://doi.org/10.1016/j.scitotenv.2024.171204 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/27390 | |
dc.description | Acces full text - https://doi.org/10.1016/j.scitotenv.2024.171204 | en_US |
dc.description.abstract | This study aimed to develop a new approach by combining machine learning (namely the XGBoost, CatBoost, LightGBM, and ExtraTree models) and hydraulic modeling to predict the effects of climate change and LULC change on land that is at risk of flooding. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartofseries | Science of The Total Environment;2024, vol. 921 | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | flooding risks | en_US |
dc.subject | machine learning | en_US |
dc.subject | hydraulic modeling | en_US |
dc.subject | Vietnam | en_US |
dc.title | A novel flood risk management approach based on future climate and land use change scenarios | en_US |
dc.type | Article | en_US |
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