City Wide Participatory Sensing of Air Quality

Air pollution is a contributor to approximately one in every nine deaths annually. Air quality monitoring is being carried out extensively in urban environments. Currently, however, city air quality stations are expensive to maintain resulting in sparse coverage and data is not readily available to...

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Autores principales:	Andrew Rebeiro-Hargrave, Pak Lun Fung, Samu Varjonen, Andres Huertas, Salla Sillanpää, Krista Luoma, Tareq Hussein, Tuukka Petäjä, Hilkka Timonen, Jukka Limo, Ville Nousiainen, Sasu Tarkoma
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	air pollution low cost sensors virtual sensors personal exposure sensor calibration participatory sensing Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b4bd745b59ec4a6cab7ebe27352cb3ac
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spelling	oai:doaj.org-article:b4bd745b59ec4a6cab7ebe27352cb3ac2021-12-02T22:58:06ZCity Wide Participatory Sensing of Air Quality2296-665X10.3389/fenvs.2021.773778https://doaj.org/article/b4bd745b59ec4a6cab7ebe27352cb3ac2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenvs.2021.773778/fullhttps://doaj.org/toc/2296-665XAir pollution is a contributor to approximately one in every nine deaths annually. Air quality monitoring is being carried out extensively in urban environments. Currently, however, city air quality stations are expensive to maintain resulting in sparse coverage and data is not readily available to citizens. This can be resolved by city-wide participatory sensing of air quality fluctuations using low-cost sensors. We introduce new concepts for participatory sensing: a voluntary community-based monitoring data forum for stakeholders to manage air pollution interventions; an automated system (cyber-physical system) for monitoring outdoor air quality and indoor air quality; programmable platform for calibration and generating virtual sensors using data from low-cost sensors and city monitoring stations. To test our concepts, we developed a low-cost sensor to measure particulate matter (PM2.5), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) with GPS. We validated our approach in Helsinki, Finland, with participants carrying the sensor for 3 months during six data campaigns between 2019 and 2021. We demonstrate good correspondence between the calibrated low-cost sensor data and city’s monitoring station measurements. Data analysis of their personal exposure was made available to the participants and stored as historical data for later use. Combining the location of low cost sensor data with participants public profile, we generate proxy concentrations for black carbon and lung deposition of particles between districts, by age groups and by the weekday.Andrew Rebeiro-HargravePak Lun FungSamu VarjonenAndres HuertasSalla SillanpääKrista LuomaTareq HusseinTuukka PetäjäHilkka TimonenJukka LimoVille NousiainenSasu TarkomaFrontiers Media S.A.articleair pollutionlow cost sensorsvirtual sensorspersonal exposuresensor calibrationparticipatory sensingEnvironmental sciencesGE1-350ENFrontiers in Environmental Science, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	air pollution low cost sensors virtual sensors personal exposure sensor calibration participatory sensing Environmental sciences GE1-350
spellingShingle	air pollution low cost sensors virtual sensors personal exposure sensor calibration participatory sensing Environmental sciences GE1-350 Andrew Rebeiro-Hargrave Pak Lun Fung Samu Varjonen Andres Huertas Salla Sillanpää Krista Luoma Tareq Hussein Tuukka Petäjä Hilkka Timonen Jukka Limo Ville Nousiainen Sasu Tarkoma City Wide Participatory Sensing of Air Quality
description	Air pollution is a contributor to approximately one in every nine deaths annually. Air quality monitoring is being carried out extensively in urban environments. Currently, however, city air quality stations are expensive to maintain resulting in sparse coverage and data is not readily available to citizens. This can be resolved by city-wide participatory sensing of air quality fluctuations using low-cost sensors. We introduce new concepts for participatory sensing: a voluntary community-based monitoring data forum for stakeholders to manage air pollution interventions; an automated system (cyber-physical system) for monitoring outdoor air quality and indoor air quality; programmable platform for calibration and generating virtual sensors using data from low-cost sensors and city monitoring stations. To test our concepts, we developed a low-cost sensor to measure particulate matter (PM2.5), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) with GPS. We validated our approach in Helsinki, Finland, with participants carrying the sensor for 3 months during six data campaigns between 2019 and 2021. We demonstrate good correspondence between the calibrated low-cost sensor data and city’s monitoring station measurements. Data analysis of their personal exposure was made available to the participants and stored as historical data for later use. Combining the location of low cost sensor data with participants public profile, we generate proxy concentrations for black carbon and lung deposition of particles between districts, by age groups and by the weekday.
format	article
author	Andrew Rebeiro-Hargrave Pak Lun Fung Samu Varjonen Andres Huertas Salla Sillanpää Krista Luoma Tareq Hussein Tuukka Petäjä Hilkka Timonen Jukka Limo Ville Nousiainen Sasu Tarkoma
author_facet	Andrew Rebeiro-Hargrave Pak Lun Fung Samu Varjonen Andres Huertas Salla Sillanpää Krista Luoma Tareq Hussein Tuukka Petäjä Hilkka Timonen Jukka Limo Ville Nousiainen Sasu Tarkoma
author_sort	Andrew Rebeiro-Hargrave
title	City Wide Participatory Sensing of Air Quality
title_short	City Wide Participatory Sensing of Air Quality
title_full	City Wide Participatory Sensing of Air Quality
title_fullStr	City Wide Participatory Sensing of Air Quality
title_full_unstemmed	City Wide Participatory Sensing of Air Quality
title_sort	city wide participatory sensing of air quality
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/b4bd745b59ec4a6cab7ebe27352cb3ac
work_keys_str_mv	AT andrewrebeirohargrave citywideparticipatorysensingofairquality AT paklunfung citywideparticipatorysensingofairquality AT samuvarjonen citywideparticipatorysensingofairquality AT andreshuertas citywideparticipatorysensingofairquality AT sallasillanpaa citywideparticipatorysensingofairquality AT kristaluoma citywideparticipatorysensingofairquality AT tareqhussein citywideparticipatorysensingofairquality AT tuukkapetaja citywideparticipatorysensingofairquality AT hilkkatimonen citywideparticipatorysensingofairquality AT jukkalimo citywideparticipatorysensingofairquality AT villenousiainen citywideparticipatorysensingofairquality AT sasutarkoma citywideparticipatorysensingofairquality
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City Wide Participatory Sensing of Air Quality

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