Site Suitability Analysis for Low Cost Sensor Networks for Urban Spatially Dense Air Pollution Monitoring
Grazia Fattoruso,
Martina Nocerino,
Domenico Toscano,
Luigi Pariota,
Giampiero Sorrentino,
Valentina Manna,
Saverio De Vito,
Armando Cartenì,
Massimiliano Fabbricino,
Girolamo Di Francia
Affiliations
Grazia Fattoruso
TERIN/FSD/SAFS Lab—Laboratory of Sensing and Photovoltaic Systems and Applications, ENEA Research Center Portici, Piazzale Enrico Fermi, 1, 80055 Portici, Italy
Martina Nocerino
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Domenico Toscano
Chemical, Materials and Production Engineering Department, University of Naples Federico II, 80125 Naples, Italy
Luigi Pariota
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Giampiero Sorrentino
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Valentina Manna
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Saverio De Vito
TERIN/FSD/SAFS Lab—Laboratory of Sensing and Photovoltaic Systems and Applications, ENEA Research Center Portici, Piazzale Enrico Fermi, 1, 80055 Portici, Italy
Armando Cartenì
Department of Engineering, University of Campania “Luigi Vanvitelli”, via Roma 29, 81031 Aversa, Caserta, Italy
Massimiliano Fabbricino
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Girolamo Di Francia
TERIN/FSD/SAFS Lab—Laboratory of Sensing and Photovoltaic Systems and Applications, ENEA Research Center Portici, Piazzale Enrico Fermi, 1, 80055 Portici, Italy
Urban air pollution continues to represent a primary concern for human health, despite significant efforts by public authorities for mitigating its effects. Regulatory monitoring networks are essential tools for air pollution monitoring. However, they are sparse networks, unable to capture the spatial variability of the air pollutants. For addressing this issue, networks of low cost stations are deployed, supplementing the regulatory stations. Regarding this application, an important question is where these stations are installed The objective of this study was to generate a site suitability map for the development of a network of low cost multi-sensor stations across a city for a spatially dense urban air quality monitoring. To do that, a site suitability analysis was developed based on two geographical variables properly selected for representing the impact of urban pollutant sources and urban form on the pollutant concentrations. By processing information about emissions patterns and street canyon effects, we were able to identify air quality hotspot areas supposed to show high spatial variability. Low cost monitoring stations, there located, are able to provide that informative content, which is lacking for both regulatory monitoring networks and predictive modelling for high resolution air quality mapping.
