PM10 and PM2.5 Particulate Matter Monitoring Systems: A Systematic Review of the Literature

Jourdan Jesus Vasquez Cubas, Roxana Mavel Torres Huaman, Félix Melchor Santos López, Orlando Tejada Quispe

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Air quality monitoring is an increasingly relevant and troubling activity in many urban areas that are exposed to high levels of pollution. Two of the most frequent pollutants are particulate matter PM10 and PM2.5, which can have adverse effects on people’s health when inhaled. According to the World Health Organization (WHO), 90% of the population has been exposed to elevated levels of PM2.5, leading to the establishment of new air quality guidelines. In this context, a systematic review of monitoring systems for PM10 and PM2.5 concentrations was conducted, based on four research questions using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) methodology. The aim was to identify the types of sensors, wireless connectivity, controller models, and commercial sensors most commonly used in air quality monitoring. A total of 671 articles from the IEEE, Scopus, and Springer databases were reviewed. After applying the selection process according to the methodology, 40 articles were included and thoroughly analyzed to address the research questions effectively.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas281-295
Número de páginas15
ISBN (versión impresa)9783031709807
DOI
EstadoPublicada - 2024
EventoInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duración: 6 nov. 202310 nov. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen797 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
País/TerritorioEcuador
CiudadAmbato
Período6/11/2310/11/23

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