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A novel flood risk management approach based on future climate and land use change scenarios

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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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