Sensors and systems for air quality assessment monitoring and management: A review. (1st July 2021)

• Record Type: Journal Article
• Authors: Singh, Dharmendra; Dahiya, Meenakshi; Kumar, Rahul; Nanda, Chintan
• Is Part Of: Journal of environmental management. Volume 289(2021)
• Publication Date: 2021-07-01
• Subjects: Air pollution -- Air quality management -- Air quality sensors -- Satellite remote sensing -- Geo-enabled systems -- ML&IoT; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2021.112510
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Air quality (AQ) is a global concern for human health management. Therefore, air quality monitoring (AQM) and its management is a must-needed activity for the current world environment. A systematic review of various sensors and systems for AQ management may strengthen our understanding of the monitoring and management of AQ. Thus, the current review presents details on sensors/systems available for AQ assessment, monitoring, and management. First, we had gone through the published literature based on special keywords including AQM, Particulate Matter (PM), Carbon Mono-oxide (CO), Sulfur di-Oxide (SO2), and Nitrogen di-Oxide (NO2) among others, and identified the current scenario of research in AQ management. We discussed various sensors/systems available for the AQ management based on self-conceptualised five major categories including, ground-based AQS (wet chemistry) systems, ground-based digital sensors systems, aerial sensors systems, satellite-based sensors systems, and integrated systems. The prospects in the field of AQ assessment and management (AQA&M) were then discussed in detail. We concluded that the AQA&M can be better achieved by coupling new technologies like ground-based smart sensors, satellite remote sensing sensors, Geospatial technologies, and computational technologies like machine learning, Artificial intelligence, and Internet of Things (IoT). The current work may lead to a junction of information for connecting these sensors/systems, which is expected to be beneficial in future AQ research and management. Graphical abstract: Image 1 Highlights: Geo-enabled smart sensor networks may support developing nations for achieving clean air goals of SDGs. A Satellite-based systems are adaptive in AQM. The amalgamation of laboratory, field, and geospatial technology-based sensors/systems are the effective future solution for AQ management. Human health management at a regional and global scale can be achieved through integrated systems.