Seawater intrusion pattern recognition supported by unsupervised learning: A systematic review and application.

Narvaez-Montoya, Christian; Mahlknecht, Jürgen; Torres-Martínez, Juan Antonio; Mora, Abrahan; Bertrand, Guillaume

Narvaez-Montoya, Christian; Mahlknecht, Jürgen; Torres-Martínez, Juan Antonio; Mora, Abrahan; Bertrand, Guillaume.

Afiliação

Narvaez-Montoya C; Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Eugenio Garza Sada 2501, Monterrey 64849, Nuevo Leon, Mexico.
Mahlknecht J; Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Eugenio Garza Sada 2501, Monterrey 64849, Nuevo Leon, Mexico. Electronic address: jurgen@tec.mx.
Torres-Martínez JA; Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Eugenio Garza Sada 2501, Monterrey 64849, Nuevo Leon, Mexico.
Mora A; Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Campus Puebla, Atlixcáyotl 5718, Reserva Territorial Atlixcáyotl, Puebla 72453, Mexico.
Bertrand G; University of Bourgogne Franche-Comté, UMR UFC CNRS 6249 Chrono-Environnement, 16 route de Gray 25000 Besançon, 4 Place Tharradin, 25200 Montbéliard, France; Federal University of Paraiba, Department of Civil and Environmental Engineering, João Pessoa 58051-900, Brazil.

Sci Total Environ ; 864: 160933, 2023 Mar 15.

Article em En | MEDLINE | ID: mdl-36566863

Palavras-chave

Clustering; Coastal aquifers; Machine learning; Multivariate; Salinization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Systematic_reviews Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Holanda

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