TY - GEN
T1 - PM10 and PM2.5 Particulate Matter Monitoring Systems
T2 - International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
AU - Vasquez Cubas, Jourdan Jesus
AU - Torres Huaman, Roxana Mavel
AU - Santos López, Félix Melchor
AU - Tejada Quispe, Orlando
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Air Quality
KW - Monitoring
KW - PM10
KW - PM2.5
KW - Particulate Matter
KW - Pollution
UR - http://www.scopus.com/inward/record.url?scp=85214380926&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-70981-4_20
DO - 10.1007/978-3-031-70981-4_20
M3 - Conference contribution
AN - SCOPUS:85214380926
SN - 9783031709807
T3 - Lecture Notes in Networks and Systems
SP - 281
EP - 295
BT - Proceedings 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
A2 - Garcia, Marcelo V.
A2 - Gordón-Gallegos, Carlos
A2 - Salazar-Ramírez, Asier
A2 - Nuñez, Carlos
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 6 November 2023 through 10 November 2023
ER -