A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary

Detalhes bibliográficos
Autor(a) principal: Cai, Huayang
Data de Publicação: 2023
Outros Autores: Li, Bo, Garel, Erwan, Pan, Haidong, Zhao, Tongtiegang, Liu, Feng, Ma, Yuting, Ou, Suying
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/19602
Resumo: Understanding the role of river discharge on tide-river dynamics is of essential importance for sustainable water management (flood control, salt intrusion, and navigation) in estuarine environments. It is well known that river discharge impacts fundamental tide-river dynamics, especially in terms of subtidal (residual water levels) and tidal properties (amplitudes and phases for different tidal constituents). However, the quantification of the impact of river discharge on tide-river dynamics is challenging due to the complex interactions of barotropic tides with channel geometry, bottom friction, and river discharge. In this study, we propose a data-driven model to quantify the impact of river discharge on tide-river dynamics, using water level time series data collected through long-term observations along an estuary with substantial variations in river discharge. The proposed model has a physically-based structure representing the tide-river interaction, and can be used to predict water level using river discharge as the sole predictor. The satisfactory correspondence of the model outputs with measurements at six gauging stations along the Yangtze River estuary suggest that the proposed model can serve as a powerful instrument to quantify the impacts of river discharge on tide-river dynamics (including time-varying tidal properties and tidal distortion), and separate the contribution made by riverine and tidal forcing on water level. The proposed approach is very efficient and can be applied to other estuaries showing considerable impacts of river discharge on tide-river dynamics.
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spelling A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuaryResidual water levelTidal propertiesHarmonic analysisData-driven modelWater managementUnderstanding the role of river discharge on tide-river dynamics is of essential importance for sustainable water management (flood control, salt intrusion, and navigation) in estuarine environments. It is well known that river discharge impacts fundamental tide-river dynamics, especially in terms of subtidal (residual water levels) and tidal properties (amplitudes and phases for different tidal constituents). However, the quantification of the impact of river discharge on tide-river dynamics is challenging due to the complex interactions of barotropic tides with channel geometry, bottom friction, and river discharge. In this study, we propose a data-driven model to quantify the impact of river discharge on tide-river dynamics, using water level time series data collected through long-term observations along an estuary with substantial variations in river discharge. The proposed model has a physically-based structure representing the tide-river interaction, and can be used to predict water level using river discharge as the sole predictor. The satisfactory correspondence of the model outputs with measurements at six gauging stations along the Yangtze River estuary suggest that the proposed model can serve as a powerful instrument to quantify the impacts of river discharge on tide-river dynamics (including time-varying tidal properties and tidal distortion), and separate the contribution made by riverine and tidal forcing on water level. The proposed approach is very efficient and can be applied to other estuaries showing considerable impacts of river discharge on tide-river dynamics.ElsevierSapientiaCai, HuayangLi, BoGarel, ErwanPan, HaidongZhao, TongtiegangLiu, FengMa, YutingOu, Suying2023-05-20T10:43:31Z2023-042023-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/19602eng10.1016/j.jhydrol.2023.1294111879-2707info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:32:05Zoai:sapientia.ualg.pt:10400.1/19602Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:09:12.353368Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
title A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
spellingShingle A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
Cai, Huayang
Residual water level
Tidal properties
Harmonic analysis
Data-driven model
Water management
title_short A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
title_full A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
title_fullStr A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
title_full_unstemmed A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
title_sort A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
author Cai, Huayang
author_facet Cai, Huayang
Li, Bo
Garel, Erwan
Pan, Haidong
Zhao, Tongtiegang
Liu, Feng
Ma, Yuting
Ou, Suying
author_role author
author2 Li, Bo
Garel, Erwan
Pan, Haidong
Zhao, Tongtiegang
Liu, Feng
Ma, Yuting
Ou, Suying
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Cai, Huayang
Li, Bo
Garel, Erwan
Pan, Haidong
Zhao, Tongtiegang
Liu, Feng
Ma, Yuting
Ou, Suying
dc.subject.por.fl_str_mv Residual water level
Tidal properties
Harmonic analysis
Data-driven model
Water management
topic Residual water level
Tidal properties
Harmonic analysis
Data-driven model
Water management
description Understanding the role of river discharge on tide-river dynamics is of essential importance for sustainable water management (flood control, salt intrusion, and navigation) in estuarine environments. It is well known that river discharge impacts fundamental tide-river dynamics, especially in terms of subtidal (residual water levels) and tidal properties (amplitudes and phases for different tidal constituents). However, the quantification of the impact of river discharge on tide-river dynamics is challenging due to the complex interactions of barotropic tides with channel geometry, bottom friction, and river discharge. In this study, we propose a data-driven model to quantify the impact of river discharge on tide-river dynamics, using water level time series data collected through long-term observations along an estuary with substantial variations in river discharge. The proposed model has a physically-based structure representing the tide-river interaction, and can be used to predict water level using river discharge as the sole predictor. The satisfactory correspondence of the model outputs with measurements at six gauging stations along the Yangtze River estuary suggest that the proposed model can serve as a powerful instrument to quantify the impacts of river discharge on tide-river dynamics (including time-varying tidal properties and tidal distortion), and separate the contribution made by riverine and tidal forcing on water level. The proposed approach is very efficient and can be applied to other estuaries showing considerable impacts of river discharge on tide-river dynamics.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-20T10:43:31Z
2023-04
2023-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/19602
url http://hdl.handle.net/10400.1/19602
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.jhydrol.2023.129411
1879-2707
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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