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Article

Site Suitability Analysis for Low Cost Sensor Networks for Urban Spatially Dense Air Pollution Monitoring

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TERIN/FSD/SAFS Lab—Laboratory of Sensing and Photovoltaic Systems and Applications, ENEA Research Center Portici, Piazzale Enrico Fermi, 1, 80055 Portici, Italy
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Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
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Chemical, Materials and Production Engineering Department, University of Naples Federico II, 80125 Naples, Italy
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Department of Engineering, University of Campania “Luigi Vanvitelli”, via Roma 29, 81031 Aversa, Caserta, Italy
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(11), 1215; https://doi.org/10.3390/atmos11111215
Received: 13 October 2020 / Revised: 29 October 2020 / Accepted: 7 November 2020 / Published: 11 November 2020
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. View Full-Text
Keywords: site suitability analysis; optimal low cost sensor deployment; urban air quality monitoring; 3D urban model; street canyon effect; traffic-related pollutant emissions site suitability analysis; optimal low cost sensor deployment; urban air quality monitoring; 3D urban model; street canyon effect; traffic-related pollutant emissions
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MDPI and ACS Style

Fattoruso, G.; Nocerino, M.; Toscano, D.; Pariota, L.; Sorrentino, G.; Manna, V.; De Vito, S.; Cartenì, A.; Fabbricino, M.; Di Francia, G. Site Suitability Analysis for Low Cost Sensor Networks for Urban Spatially Dense Air Pollution Monitoring. Atmosphere 2020, 11, 1215. https://doi.org/10.3390/atmos11111215

AMA Style

Fattoruso G, Nocerino M, Toscano D, Pariota L, Sorrentino G, Manna V, De Vito S, Cartenì A, Fabbricino M, Di Francia G. Site Suitability Analysis for Low Cost Sensor Networks for Urban Spatially Dense Air Pollution Monitoring. Atmosphere. 2020; 11(11):1215. https://doi.org/10.3390/atmos11111215

Chicago/Turabian Style

Fattoruso, Grazia, Martina Nocerino, Domenico Toscano, Luigi Pariota, Giampiero Sorrentino, Valentina Manna, Saverio De Vito, Armando Cartenì, Massimiliano Fabbricino, and Girolamo Di Francia. 2020. "Site Suitability Analysis for Low Cost Sensor Networks for Urban Spatially Dense Air Pollution Monitoring" Atmosphere 11, no. 11: 1215. https://doi.org/10.3390/atmos11111215

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