SISME, estuarine monitoring system based on IOT and machine learning for the detection of salt wedge in aquifers: case study of the Magdalena river estuary

This article contains methods, results, and analysis agreed for the development of an application based on the internet of things and making use of machine learning techniques that serves as a support for the identification of the saline wedge in the Magdalena River estuary, Colombia. As a result of...

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Detalles Bibliográficos
Autores: Ariza Colpas, Paola Patricia, Ayala Mantilla, Cristian Eduardo, Shaheen, Qaisar, Piñeres-Melo, Marlon Alberto, Villate-Daza, Diego Andrés, Morales-Ortega, Roberto Cesar, De-La-Hoz-Franco, Emiro, Sanchez Moreno, Hernando, Aziz, Butt Shariq, AFzal, Mehtab
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:Colombia
Institución:Corporación Universidad de la Costa
Repositorio:Repositorio REDICUC
Idioma:inglés
OAI Identifier:oai:repositorio.cuc.edu.co:11323/8323
Acceso en línea:https://hdl.handle.net/11323/8323
https://doi.org/10.3390/s21072374
https://repositorio.cuc.edu.co/
Access Level:acceso abierto
Palabra clave:IOT systems
Machine learning
Salt wedge
Aquifers
Magdalena river estuary
Descripción
Sumario:This article contains methods, results, and analysis agreed for the development of an application based on the internet of things and making use of machine learning techniques that serves as a support for the identification of the saline wedge in the Magdalena River estuary, Colombia. As a result of this investigation, the process of identifying the most suitable telecommunications architecture to be installed in the estuary is shown, as well as the characteristics of the software developed called SISME (Estuary Monitoring System), and the results obtained after the implementation of prediction techniques based on time series. This implementation supports the maritime security of the port of Barranquilla since it can support decision-making related to the estuary. This research is the result of the project “Implementation of a Wireless System of Temperature, Conductivity and Pressure Sensors to support the identification of the saline wedge and its impact on the maritime safety of the Magdalena River estuary”.

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