Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment

A particle tracking model for the Lingdingyang Bay of the Pearl River Estuary (PRE) was established based on the Delft3D model. The model was initialized with remote sensing images to simulate the red tide drift-diffusion process in this sea area in the autumn of 2020 and analyze its response to tid...

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Main Authors: Yuanxing Xu, Yan Sun, Guangjun Xu, Dazhao Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1096896/full
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author Yuanxing Xu
Yan Sun
Guangjun Xu
Guangjun Xu
Dazhao Liu
Dazhao Liu
author_facet Yuanxing Xu
Yan Sun
Guangjun Xu
Guangjun Xu
Dazhao Liu
Dazhao Liu
author_sort Yuanxing Xu
collection DOAJ
description A particle tracking model for the Lingdingyang Bay of the Pearl River Estuary (PRE) was established based on the Delft3D model. The model was initialized with remote sensing images to simulate the red tide drift-diffusion process in this sea area in the autumn of 2020 and analyze its response to tides, winds and runoffs. The results show that this red tide occurred in the central sea area of the Lingdingyang Bay. The red tide drifted south with the ebb tide and north with flood tide. The red tide spread northward to the waters near Humen and southward to the western waters of Zhuhai. Through the control variable experiments, it is found that the red tide drift-diffusion process was mainly affected by tide and wind, with minimal influence from runoff. The tide expanded the scope of red tide diffusion, and the wind further changed the distribution of red tide. Under the influence of the northeast wind, the red tide gathered on both sides of Lingdingyang Bay. Comparison with the red tide drift-diffusion process in the sea area near Shenzhen Airport shows that the red tide near Neilingding Island easily diffused toward surrounding waters.
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spelling doaj.art-ebfbc2ad6079408181b9acd9cfcae6d12023-02-09T08:42:46ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452023-02-011010.3389/fmars.2023.10968961096896Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environmentYuanxing Xu0Yan Sun1Guangjun Xu2Guangjun Xu3Dazhao Liu4Dazhao Liu5College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, ChinaCollege of Chemistry and Environment, Guangdong Ocean University, Zhanjiang, ChinaCollege of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaCollege of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, ChinaGuangdong Engineering Technology Research Center for Ocean Remote Sensing and Information Technology, Zhanjiang, ChinaA particle tracking model for the Lingdingyang Bay of the Pearl River Estuary (PRE) was established based on the Delft3D model. The model was initialized with remote sensing images to simulate the red tide drift-diffusion process in this sea area in the autumn of 2020 and analyze its response to tides, winds and runoffs. The results show that this red tide occurred in the central sea area of the Lingdingyang Bay. The red tide drifted south with the ebb tide and north with flood tide. The red tide spread northward to the waters near Humen and southward to the western waters of Zhuhai. Through the control variable experiments, it is found that the red tide drift-diffusion process was mainly affected by tide and wind, with minimal influence from runoff. The tide expanded the scope of red tide diffusion, and the wind further changed the distribution of red tide. Under the influence of the northeast wind, the red tide gathered on both sides of Lingdingyang Bay. Comparison with the red tide drift-diffusion process in the sea area near Shenzhen Airport shows that the red tide near Neilingding Island easily diffused toward surrounding waters.https://www.frontiersin.org/articles/10.3389/fmars.2023.1096896/fullred tidedrift-diffusion processLingdingyang BayDelft3Dparticle tracking
spellingShingle Yuanxing Xu
Yan Sun
Guangjun Xu
Guangjun Xu
Dazhao Liu
Dazhao Liu
Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment
Frontiers in Marine Science
red tide
drift-diffusion process
Lingdingyang Bay
Delft3D
particle tracking
title Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment
title_full Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment
title_fullStr Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment
title_full_unstemmed Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment
title_short Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment
title_sort simulation of red tide drift diffusion process in the pearl river estuary and its response to the environment
topic red tide
drift-diffusion process
Lingdingyang Bay
Delft3D
particle tracking
url https://www.frontiersin.org/articles/10.3389/fmars.2023.1096896/full
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