ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W1, 67-74, 2016
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W1/67/2016/
doi:10.5194/isprs-annals-IV-4-W1-67-2016
 
05 Sep 2016
AN INTEGRATED APPROACH FOR POLLUTION MONITORING: SMART ACQUIREMENT AND SMART INFORMATION
E. Arco1, P. Boccardo1, F. Gandino2, A. Lingua3, F. Noardo3, and M. Rebaudengo2 1Interuniversity Department of Regional and Urban Studies and Planning - DIST, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy
2Department of Control and Computer Engineering - DAUIN, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy
3Department of Environment, Land and Infrastructure Engineering - DIATI, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy
Keywords: Pollution, Semantic web, Environmental monitoring, dynamic sensors, standard data models, internet of things Abstract. Air quality is a factor of primary importance for the quality of life. The increase of the pollutants percentage in the air can cause serious problems to the human and environmental health. For this reason it is essential to monitor its values to prevent the consequences of an excessive concentration, to reduce the pollution production or to avoid the contact with major pollutant concentration through the available tools. Some recently developed tools for the monitoring and sharing of the data in an effective system permit to manage the information in a smart way, in order to improve the knowledge of the problem and, consequently, to take preventing measures in favour of the urban air quality and human health. In this paper, the authors describe an innovative solution that implements geomatics sensors (GNSS) and pollutant measurement sensors to develop a low cost sensor for the acquisition of pollutants dynamic data using a mobile platform based on bicycles. The acquired data can be analysed to evaluate the local distribution of pollutant density and shared through web platforms that use standard protocols for an effective smart use.
Conference paper (PDF, 1650 KB)


Citation: Arco, E., Boccardo, P., Gandino, F., Lingua, A., Noardo, F., and Rebaudengo, M.: AN INTEGRATED APPROACH FOR POLLUTION MONITORING: SMART ACQUIREMENT AND SMART INFORMATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W1, 67-74, doi:10.5194/isprs-annals-IV-4-W1-67-2016, 2016.

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