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Report

Integrating Low-cost Sensor Systems and Networks to Enhance Air Quality Applications

Amegah, Kofi; Basart, Sara; Diez, Sebastiàn; Rosales, Colleen Marciel F.; Zimmerman, Naomi; Archer, Jan-Michael; Barreto, África; Bi, Jianzhao; Biggs, Russ; Castell, Núria Balaguer; deSouza, Priyanka; Dye, Tim; Fujita, Ryo; Giordano, Michael R.; Gonzalez, Marisa E.; Hasenkopf, Christa; Hassani, Amir; Hodoli, Collins Gameli; Hofman, Jelle; Huneeus, Nicolás Jorge; Jayaratne, Rohan; Kroll, Jesse H.; Labrador, Lorenzo; Legri, Radouane; Levy, Robert C.; Marques, Tomas; Martins, Leila Droprinchinski; McMahon, Ethan; Mead, Mohammed Iqbal; Molina, Luisa T.; Montgomery, Anastasia; Morawska, Lidia; Ning, Zhi; Peltier, Richard; Popoola, Olalekan; Rojas, Néstor; Retama, Armando; Schneider, Philipp; Shairsing, Kerolyn; Strużewska, Joanna; Tang, Beiming; Van Poppel, Martine; Westervelt, Daniel M.; Zhang, Yang; Zheng, Mei

Publication details

Series: GAW Report 293

Publisher: World Meteorological Organization

Year: 2024

Fulltekst: library.wmo.int/idurl/4/68924

Summary:
Low-cost air quality sensor systems (LCS) are emerging technologies for policy-relevant air quality analysis, including pollution levels, source identification, and forecasting. This report discusses LCS use in networks and alongside other data sources for comprehensive air quality applications, complementing other WMO publications on LCS operating principles, calibration, performance assessment, and data communication.

The LCS’s utility lies in their ability to provide new insights into air quality that existing data sources may not offer. While LCS data must be verified, their integration with other data sources can enhance understanding and management of air quality. In areas without reference-grade monitors, LCS can identify factors affecting local air quality and guide future monitoring efforts. Combining LCS data with satellite and other air quality systems can improve data reliability and establish corroborating evidence for observed trends. LCS can extend the spatial coverage of existing monitoring networks, offering localized insights and supporting effective air quality management policies. Co-locating LCS with reference-grade monitors helps quantify measurement uncertainties and apply LCS data appropriately for forecasting, source impact analysis, and community engagement.