Data Analysis of Low-cost Air Quality Sensors in Helsinki

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http://hdl.handle.net/10138/333822

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Zaidan , M , Hossein Motlagh , N , Fung , P L , Timonen , H , Tarkoma , S , Hussein , T , Petäjä , T & Kulmala , M 2020 , Data Analysis of Low-cost Air Quality Sensors in Helsinki . Nordic Society for Aerosol Research (NOSA) , Denmark .

Titel: Data Analysis of Low-cost Air Quality Sensors in Helsinki
Författare: Zaidan, Martha; Hossein Motlagh, Naser; Fung, Pak Lun; Timonen, Hilkka; Tarkoma, Sasu; Hussein, Tareq; Petäjä, Tuukka; Kulmala, Markku
Upphovmannens organisation: Global Atmosphere-Earth surface feedbacks
INAR Physics
Department of Computer Science
Air quality research group
Content-Centric Structures and Networking research group / Sasu Tarkoma
Helsinki Institute for Information Technology
Department of Physics
Institute for Atmospheric and Earth System Research (INAR)
Utgivare: Nordic Society for Aerosol Research (NOSA)
Datum: 2020-06
Språk: eng
Sidantal: 1
Permanenta länken (URI): http://hdl.handle.net/10138/333822
Abstrakt: High population density is exposed with excess anthropogenic emissions impacting environment and health effects. Highly accurate and reliable air quality monitoring stations which have been established to continuously monitor the air pollution are expensive and complex in operation and maintenance. Dense deployment of low-cost air quality sensors in urban areas allows detecting the pollution hotspots in real-time. In this paper, we present data analysis of two identical low-cost sensors that measure meteorological variables, PM2.5 and CO2. The low-cost sensors were installed at a reference station. The results demonstrate that the sensors are consistent among themselves. When the sensors were compared with the reference station’s measurements, the sensors demonstrate adequate accuracy for meteorological variables. However, for PM2.5 and CO2, the sensors accuracies are not satisfactory, indicating that the sensors need to be calibrated or a proxy needs to be developed.
Subject: 113 Computer and information sciences
Referentgranskad: Nej
Användningsbegränsning: openAccess
Parallelpublicerad version: acceptedVersion


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