Sensores de calidad de agua para el control de la contaminación fisicoquímica en los acuíferos de Latinoamérica: una revisión
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Date
Subject
Sensors
water quality
open-source
Latin America
internet of things
sensores
calidad de agua
open-source
Latinoamérica
internet de las cosas
water quality
open-source
Latin America
internet of things
sensores
calidad de agua
open-source
Latinoamérica
internet de las cosas
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Instituto Tecnológico de Santo Domingo (INTEC)
El monitoreo de la calidad del agua es un aspecto crítico para garantizar agua segura y limpia para el consumo humano, los procesos industriales y la vida acuática. El empleo de sensores automáticos basados en el internet de las cosas y algoritmos de aprendizaje de máquina utilizados para el monitoreo de la calidad del agua se ha vuelto cada vez más popular, debido a su facilidad de uso, precisión y rentabilidad. En esta revisión, discutiremos algunos de los sensores comúnmente utilizados para la vigilancia de la calidad del agua, así como sus posibles usos para la gestión y supervisión de acuíferos en América Latina. En la primera parte se discute sobre la contaminación de las fuentes de agua en Latinoamérica y, especialmente, en República Dominicana, donde se brinda una revisión de los diferentes trabajos que evalúan la contaminación en afluentes de agua. Además, se explora como el uso cotidiano de estas fuentes de agua puede afectar a los seres humanos. En la última parte del trabajo se presentan las tecnologías de los sensores y sus diferentes implementaciones, así como los principales retos para su integración al monitoreo de la calidad de agua de las fuentes de agua. Esta revisión demostró que el uso de sensores remotos de calidad de agua, basados en tecnologías de IoT y algoritmos de inteligencia artificial son de gran importancia para el control de la contaminación fisicoquímica en los acuíferos de los países latinoamericanos. Estos sensores constituyen una herramienta clave para el manejo sostenible de los recursos hídricos.
Monitoring water quality is critical to guaranteeing safe and clean water for human consumption, industrial processes, and aquatic life. The use of automatic sensors based on the Internet of Things and machine learning algorithms for monitoring water quality has become increasingly popular due to its ease of use, accuracy, and cost-effectiveness. In this review, we will discuss some of the sensors commonly used for monitoring water quality and their possible uses for aquifer monitoring and management in Latin America. The first part discusses the contamination of water sources in Latin America, especially in the Dominican Republic, where a review of the different works that evaluate contamination in water tributaries is provided. In addition, it is explored how the daily use of these water sources can affect human beings. In the last part of the work, the sensor technologies and their different implementations are presented, as well as the main challenges for their integration into the monitoring of water quality of water sources. This review demonstrated that remote water quality sensors based on IoT technologies and artificial intelligence algorithms are of great importance for controlling aquifer physicochemical contamination in Latin American countries. These sensors are a crucial tool for the sustainable management of water resources.
Monitoring water quality is critical to guaranteeing safe and clean water for human consumption, industrial processes, and aquatic life. The use of automatic sensors based on the Internet of Things and machine learning algorithms for monitoring water quality has become increasingly popular due to its ease of use, accuracy, and cost-effectiveness. In this review, we will discuss some of the sensors commonly used for monitoring water quality and their possible uses for aquifer monitoring and management in Latin America. The first part discusses the contamination of water sources in Latin America, especially in the Dominican Republic, where a review of the different works that evaluate contamination in water tributaries is provided. In addition, it is explored how the daily use of these water sources can affect human beings. In the last part of the work, the sensor technologies and their different implementations are presented, as well as the main challenges for their integration into the monitoring of water quality of water sources. This review demonstrated that remote water quality sensors based on IoT technologies and artificial intelligence algorithms are of great importance for controlling aquifer physicochemical contamination in Latin American countries. These sensors are a crucial tool for the sustainable management of water resources.
Description
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info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículos
info:eu-repo/semantics/publishedVersion
Artículos
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Science, Environment and Climate; Vol. 6 No. 1 (2023): Science, Environment and Climate; 45-70
Ciencia, Ambiente y Clima; Vol. 6 Núm. 1 (2023): Ciencia, Ambiente y Clima; 45-70
2636-2333
2636-2317
10.22206/cac.2023.v6i1
Ciencia, Ambiente y Clima; Vol. 6 Núm. 1 (2023): Ciencia, Ambiente y Clima; 45-70
2636-2333
2636-2317
10.22206/cac.2023.v6i1