dc.contributor.author | Hassani, Amirhossein | |
dc.contributor.author | Castell, Nuria | |
dc.contributor.author | Watne, Ågot K. | |
dc.contributor.author | Schneider, Philipp | |
dc.date.accessioned | 2023-05-08T07:21:47Z | |
dc.date.available | 2023-05-08T07:21:47Z | |
dc.date.created | 2023-05-05T14:21:28Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Sustainable Cities and Society. 2023, 95, 104607. | en_US |
dc.identifier.issn | 2210-6707 | |
dc.identifier.uri | https://hdl.handle.net/11250/3066682 | |
dc.description.abstract | Research communities, engagement campaigns, and administrative agents are increasingly valuing low-cost air-quality monitoring technologies, despite data quality concerns. Mobile low-cost sensors have already been used for delivering a spatial representation of pollutant concentrations, though less attention is given to their uncertainty quantification. Here, we perform static/on-bike inter-comparison tests to assess the performance of the Snifferbike sensor kit in measuring outdoor PM2.5 (Particulate Matter < 2.5 μm). We build a network of citizen-operated Snifferbike sensors in Kristiansand, Norway, and calibrate the measurements using Machine Learning techniques to estimate the concentrations of PM2.5 along the city roads. We also propose a method to estimate the minimum number of PM2.5 measurements required per road segment to assure data representativeness. The co-location of three Snifferbike kits (Sensirion SPS30) at the monitoring station showed a RMSD of 7.55 μg m−3. We approximate that one km h−1 increase in the speed of the bikes will add 0.03 - 0.04 μg m−3 to the Standard Deviation of the Snifferbike PM2.5 measurements. We estimate that at least 27 measurements per road segment are required (50 m here) if the data are sufficiently dispersed over time. We recommend calibrating the mobile sensors when they coincide with reference monitoring stations. | en_US |
dc.language.iso | eng | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application | en_US |
dc.title.alternative | Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2023 The Authors. Published by Elsevier Ltd. | en_US |
dc.source.volume | 95 | en_US |
dc.source.journal | Sustainable Cities and Society (SCS) | en_US |
dc.identifier.doi | 10.1016/j.scs.2023.104607 | |
dc.identifier.cristin | 2145857 | |
dc.relation.project | Nordforsk: 95326 | en_US |
dc.relation.project | NILU: 119154 | |
dc.source.articlenumber | 104607 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |