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
| Autor: | Mehtab Afzal, Marlon Alberto Piñeres-Melo, Cristian Eduardo Ayala-Mantilla, Roberto Cesar Morales-Ortega, Hernando Sanchez-Moreno, Emiro De-la-Hoz-Franco, Butt Shariq Aziz, Qaisar Shaheen, Paola Ariza-Colpas, Diego Andrés Villate-Daza |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Salt (cryptography) Aquifer 010501 environmental sciences Machine learning computer.software_genre lcsh:Chemical technology aquifers 01 natural sciences Biochemistry Wedge (geometry) Article Analytical Chemistry Magdalena river estuary lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation 0105 earth and related environmental sciences geography geography.geographical_feature_category salt wedge business.industry 010604 marine biology & hydrobiology Monitoring system Estuary IOT systems Port (computer networking) Atomic and Molecular Physics and Optics Maritime security Identification (information) Salt wedge Aquifers machine learning Environmental science Artificial intelligence business computer |
| Zdroj: | Sensors (Basel, Switzerland) Sensors REDICUC-Repositorio CUC Corporación Universidad de la Costa instacron:Corporación Universidad de la Costa Volume 21 Issue 7 Sensors, Vol 21, Iss 2374, p 2374 (2021) |
| ISSN: | 1424-8220 |
| Popis: | 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”. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|