scholarly journals Planning Air Pollution Monitoring Networks in Industrial Areas by Means of Rremote Sensed Images and GIS Techniques

10.5772/16416 ◽  
2011 ◽  
Author(s):  
Mauro Rotatori ◽  
Rosamaria Salvatori ◽  
Roberto Salzano
Keyword(s):  
Air Pollution ◽  
Pollution Monitoring ◽  
Monitoring Networks ◽  
Industrial Areas ◽  
Air Pollution Monitoring ◽  
Gis Techniques ◽  
Air Pollution Monitoring Networks

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

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1215
Author(s):  
Grazia Fattoruso ◽  
Martina Nocerino ◽  
Domenico Toscano ◽  
Luigi Pariota ◽  
Giampiero Sorrentino ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Urban Air ◽  
Monitoring Networks ◽  
Suitability Analysis ◽  
Site Suitability ◽  
Air Pollution Monitoring ◽  
A Site

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.

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