OPEN ACCESS
The deterioration of air quality in urban areas has become a problem to be reckoned with, the greater levels pollution, in addition to subject the inhabitants at risks substantial for the health, poses a risk potential of degradation of the historical-artistic- architecture. The Department of Engineering of Messina together with the Department of Energetic and Environmental Researches (DREAM) of the University of Palermo, in cooperation with the Municipal Transport Company of Messina has development a project called "Project SET: Eco-efficient and Environmental Friendly Transport Systems". The project aims to define an integrated system of services to facilitate the deployment of ITS (Intelligent Transport System) solutions and of new techniques for the assessment of the urban microclimate and pollution conditions using original data acquisition equipments installed on moving vehicles. These instruments, equipped with various kinds of sensors, are able to measure the most important weather date and climate quantities and the most relevant pollution parameters and to save the position of the acquired data (latitude, longitude, altitude, speed) by means of a Global Positioning System (GPS). Data can be downloaded from a remote station through the GSM/GPRS mobile phone network. These equipments, continuously moving across the urban area, could integrate the data coming from existing fixed stations, and create a virtual network of hundreds of measuring points. In the field of the pollution control they can contribute to the characterization of causes, the localization of sources and to the application and check of control strategies with a relevant spin-off to town planning.In this paper the research activities carried out by the Departments of the two Universities of Messina and Palermo within the SET project and prototype of a standalone unit for detection and remote data acquisition are described.
urban microclimate, urban pollution, mobile monitoring devices, remote data acquisition
Aitkenhead M. J., Donnelly D., Coull M. C., Hastings E. (2014). Innovations in environmental monitoring using mobile phone technology – a review. International Journal of Interactive Mobile Technologies, Vol. 8, No. 2, pp. 42-50. http://dx.doi.org/10.3991/ijim.v8i2.3645
Aitkenhead M. J., Donnelly D., Coull M. C. (2013). Innovations in aquatic monitoring. CREW project number CD2013_04. http://crew.ac.uk/publications.
Bitan A. (1982). The Jordan Valley Project – a case study in climate and regional planning. Energy and Buildings, Vol. 4, No. 1, pp. 1-9. https://doi.org/10.1016/0378-7788(82)90013-5
Bukowiecki N., Dommen J., Prevot A. S. H., Richter R., Weingartmen E., Valtensperger U. (2002). A mobile pollutant measurement laboratory-measuring as phase and aerosol ambient concentrations with high spatial and temporal resolution. Atmospheric Environment, Vol. 36, No. 36-37, pp. 5569-5579. https://doi.org/10.1016/S1352-2310(02)00694-5
Cannistraro M., Cannistraro G., Piccolo A., Restivo R. (2013). Potential and limits of oxidative photocatalyses and possible applications in the field of cultural heritage. Advanced Materials Research, Vol. 787, pp. 111-117. http://dx.doi.org/10.4028/www.scientific.net/AMR.787.111
Cannistraro M., Cao J. Y., Ponterio L. (2018). Experimental study of air pollution in the urban centre of the city of Messina. Modelling, Measurement and Control C, Vol. 79, No. 3, pp. 133-139. https://doi.org/10.18280/mmc_c.790311
Cannistraro G., Cannistraro A., Cannistraro M., Galvagno A., Trovato G. (2016). Analysis of the air pollutions in the urban center of four sicilian cities. International Journal Heat & Technology, Vol. 34, pp. S219-225. https://doi.org/10.18280/ijht.34S205
Cannistraro M., Restivo R. (2018). Monitoring of indoor microclimatic conditions of an eighteenth-century church, with wireless sensors. Advances in Modelling and Analysis B, Vol. 61, No. 1, pp. 28-36. https://doi.org/10.18280/ama_b.610106
Trancossi M., Kay J., Cannistraro M. (2018). Peltier cells based acclimatization system for a container passive building. Italian Journal of Engineering Science: Tecnica Italiana, Vol. 61+1, No. 2, pp. 90-96. https://doi.org/10.18280/IJES.620106
Costanzo S., Cusumano A., Giaconia C., Mazzacane S. (2006). The study of the urban microclimate by means of public transport systems. Proceedings of the 5th WSEAS Intern. Conference on Environ. Ecosystems and Development, Venice, pp. 106-111.
Kanjo E. (2010). NoiseSPY: A real-time mobile phone platform for urban noise monitoring and mapping. Mobile Networks & Applications, Vol. 15, No. 4, pp. 562-574. http://dx.doi.org/10.1007/ s11036-009-0217-y
Kaoutit H. E., Estevez P., Garcia F. C., Serna F., Garcia J. M. (2013). Sub-ppm quantification of Hg(II) in aqueous media using both the naked eye and digital information from pictures of a colorimetric sensory polymer membrane taken with the digital camera of a conventional mobile phone. Analytical Methods, Vol. 5, No. 1, pp. 54-58. http://dx.doi.org/10.1039/c2ay26307f
Khan W. Z., Xiang Y., Aalsalem M. Y., Arshad Q. (2013). Mobile phone sensing systems: A survey. IEEE Communications Surveys and Tutorials, Vol. 15, No. 1, pp. 402-427. http://dx.doi.org/10.1109/SURV.2012.031412.00077
Lane N. D., Miluzzo E., Lu H., Peebles D., Choudhury T., Campbell A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, Vol. 48, No. 9, pp. 140-150. http://dx.doi.org/10.1109/ MCOM.2010.5560598
Lillehoj P. B., Huang M. C., Truong N., Ho C. M. (2013). Rapid electrochemical detection on a mobile phone. Lab on a Chip, Vol. 13, No. 15, pp. 2950-2955. http://dx.doi.org/10.1039/c3lc50306b
Nazelle A. D., Seto E., Donaire-Gonzalez D., Mendez M., Matamala J., Nieuwenhuijsen M. J., Jerrett M. (2013). Improving estimates of air pollution exposure through ubiquitous sensing technologies. Environmental Pollution, Vol. 176, pp. 92-99, http://dx.doi.org/10.1016/ j.envpol.2012.12.032
Novella S. (2013). Will your smartphone become a tricorder? Science based Medicine. http://www.sciencebasedmedicine.org/will-yoursmartphone-become-a-tricorder/), accessed on 5th Oct, 2013.
O'Driscoll S., MacCraith B. D., Burke C. S. (2013). A novel camera phone-based platform for quantitative fluorescence sensing. Analytical Methods, Vol. 5, No. 8, pp. 1904-1908. http://dx.doi.org/10.1039/c3ay40116b
Ojima T. (1990). Changing tokyo metropolitan area and its heat island model. Energy and Building, Vol. 15, No. 1-2, pp. 191-203. https://doi.org/10.1016/0378-7788(90)90131-2
Pirjola L., Parviainen H., Hussein T., Valli A., Hameri K., Aaalto P., Virtanen A., Keskinen J., Pakkanen T. A., Makelä T., Hillamo R. E. (2004). “Sniffer”- a novel tool for chasing vehicles and measuring traffic pollutants. Atmospheric Environment, Vol. 38, No. 22, pp 3625-3635. https://doi.org/10.1016/j.atmosenv.2004.03.047
Seakins P. W., Lansley D. L., Hodgson A., Huntley N., Pope F. (2002). New directions: Mobile laboratory reveals new issues in urban air quality. Atmospheric Environmental, Vol. 36, No. 7, pp. 1247-1248. https://doi.org/10.1016/S1352-2310(01)00584-2
Vogt R., Kirchner U., Scheer V., Hens K. P., Trimborn A., Spengler B. (2003). Identification of diesel exhaust particles at an Autobahn, urban and rural location using single-particle mass spectrometry. Journal of Aerosol Science, Vol. 34, No. 3, pp. 319-337. https://doi.org/10.1016/ S0021-8502(02)00179-9
Weijers E. P., Khlystov A. Y., Kos G. P. A., Erisman J. W. (2004). Variability of particulate matter concentrations along roads and motorways determined by a moving measurement unit. Atmospheric Environment, Vol. 38, No. 19, pp. 2993-3002. https://doi.org/10.1016/j.atmosenv.2004.02.045