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

Bibliographic Details
Main Author: Cai, Huayang
Publication Date: 2023
Other Authors: Li, Bo, Garel, Erwan, Pan, Haidong, Zhao, Tongtiegang, Liu, Feng, Ma, Yuting, Ou, Suying
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.1/19602
Summary: 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.2023.129411info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-18T17:21:56Zoai:sapientia.ualg.pt:10400.1/19602Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:19:39.551787Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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