Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling

The aim of this work was to study, by remote sensing and numerical modeling, the thermal dispersion of a plume discharged into the sea by a nuclear power plant. The case study is the thermal discharge of the Laguna Verde nuclear power plant, located on the coast of the Gulf of Mexico. First, the the...

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Main Authors: Luis Laguna-Zarate, Héctor Barrios-Piña, Hermilo Ramírez-León, Raudel García-Díaz, Rocio Becerril-Piña
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/12/1437
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author Luis Laguna-Zarate
Héctor Barrios-Piña
Hermilo Ramírez-León
Raudel García-Díaz
Rocio Becerril-Piña
author_facet Luis Laguna-Zarate
Héctor Barrios-Piña
Hermilo Ramírez-León
Raudel García-Díaz
Rocio Becerril-Piña
author_sort Luis Laguna-Zarate
collection DOAJ
description The aim of this work was to study, by remote sensing and numerical modeling, the thermal dispersion of a plume discharged into the sea by a nuclear power plant. The case study is the thermal discharge of the Laguna Verde nuclear power plant, located on the coast of the Gulf of Mexico. First, the thermal plume dispersion was characterized by applying remote sensing for different scenarios. Afterwards, Delft3D-FLOW numerical simulations were performed to expand the analysis of the thermal processes for a case in which the thermal plume tends towards the intake of the power plant. This thermal analysis was carried out by comparing the behavior of different dimensionless parameters. Moreover, the results of the numerical simulations were used to investigate the performance of the AEM and the <i>k-L</i> and <i>k-ε</i> turbulence models, available in the Delft3D-FLOW model. An LES turbulence model contribution was also analyzed. The results show that forced convection is predominant near the plume discharge area and at the vicinity of the intake structure. According to the metrics calculated, all turbulence models produced good agreement with the remote sensing data, except when the LES scheme was considered. Finally, the use of remote sensing and numerical simulations is helpful to better understand thermal plume dispersion.
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spelling doaj.art-1a3e8fcc7b4d481b9bae8e4d5495dff32023-11-23T09:03:45ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-12-01912143710.3390/jmse9121437Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical ModelingLuis Laguna-Zarate0Héctor Barrios-Piña1Hermilo Ramírez-León2Raudel García-Díaz3Rocio Becerril-Piña4Tecnologico de Monterrey, Eugenio Garza Sada 2501, Tecnológico, Monterrey 64700, MexicoTecnologico de Monterrey, Eugenio Garza Sada 2501, Tecnológico, Monterrey 64700, MexicoProyectos de Ingeniería y Medio Ambiente S.C. Eten 577, Lindavista, Gustavo A. Madero, Ciudad de Mexico 07300, MexicoInstituto Interamericano de Tecnología y Ciencias del Agua, Universidad Autónoma del Estado de Mexico, Carretera Toluca-Atlacomulco, Toluca 50200, MexicoRed Lerma-Instituto Interamericano de Tecnología y Ciencias del Agua, Universidad Autónoma del Estado de Mexico, Carretera Toluca-Atlacomulco, Toluca 50200, MexicoThe aim of this work was to study, by remote sensing and numerical modeling, the thermal dispersion of a plume discharged into the sea by a nuclear power plant. The case study is the thermal discharge of the Laguna Verde nuclear power plant, located on the coast of the Gulf of Mexico. First, the thermal plume dispersion was characterized by applying remote sensing for different scenarios. Afterwards, Delft3D-FLOW numerical simulations were performed to expand the analysis of the thermal processes for a case in which the thermal plume tends towards the intake of the power plant. This thermal analysis was carried out by comparing the behavior of different dimensionless parameters. Moreover, the results of the numerical simulations were used to investigate the performance of the AEM and the <i>k-L</i> and <i>k-ε</i> turbulence models, available in the Delft3D-FLOW model. An LES turbulence model contribution was also analyzed. The results show that forced convection is predominant near the plume discharge area and at the vicinity of the intake structure. According to the metrics calculated, all turbulence models produced good agreement with the remote sensing data, except when the LES scheme was considered. Finally, the use of remote sensing and numerical simulations is helpful to better understand thermal plume dispersion.https://www.mdpi.com/2077-1312/9/12/1437coastal hydrodynamicsturbulence modelingremote sensingthermal plume discharge
spellingShingle Luis Laguna-Zarate
Héctor Barrios-Piña
Hermilo Ramírez-León
Raudel García-Díaz
Rocio Becerril-Piña
Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling
Journal of Marine Science and Engineering
coastal hydrodynamics
turbulence modeling
remote sensing
thermal plume discharge
title Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling
title_full Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling
title_fullStr Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling
title_full_unstemmed Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling
title_short Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling
title_sort analysis of thermal plume dispersion into the sea by remote sensing and numerical modeling
topic coastal hydrodynamics
turbulence modeling
remote sensing
thermal plume discharge
url https://www.mdpi.com/2077-1312/9/12/1437
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