| 1. |
- Castell, Nuria, et al.
(author)
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Citizen Science for Environmental Governance in the Nordic Region
- 2023
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In: Fast Track to Vision 2030. - Oslo : NordForsk.
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Other publication (other academic/artistic)abstract
- Environmental citizen science can be a great tool for a green, competitive, and socially sustainable Nordic Region. It fosters collaboration between citizens, researchers, communities, and authorities to collectively tackle environmental challenges, and encourages participation in decision-making processes related to environmental policies and conservation efforts. To advocate its importance and significance, this policy brief proposes four recommendations for the Nordic Council of Ministers and describes how best to connect and integrate environmental citizen science in the Nordic Region so as to achieve three relevant objectives of the Council's Action Plan.
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| 2. |
- Ekman, Karin, 1971, et al.
(author)
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Agency and responsibility in smart air pollution monitoring.
- 2023
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In: Proceedings of the 8th International Conference on Smart and Sustainable Technologies (SpliTech), 21-23 June, 2023. Split-Bol, Croatia.. - : IEEE Publisher. - 9798350323207
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Conference paper (peer-reviewed)abstract
- In this paper, we use two cases to illustrate the role of citizens, researchers, and low-cost sensors for air quality monitoring in communal smart environments. In these settings, human-sensor collaborations might reconfigure relations between actors of Citizen Science and the political processes in the terms of roles, agency, and responsibilities. By looking at two cases run in Denmark and Norway, we strive to understand the roles played by citizens, researchers, and sensors in air quality monitoring, the responsibilities assigned to citizens and sensors in producing data about air pollution, and how the quality of the collected data was judged. The two cases show that low-cost sensors constitute an important driver for participation. By collecting data that can be used by local governments to derive relevant insights and informing action, citizens can be more actively involved in improving and maintaining the quality of their living environment. In both cases, we see the sensors as holding the potential to change the way citizens look at their living environments and facilitate data creation as a purposeful and meaningful social activity.
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| 3. |
- Hassani, Amirhossein, et al.
(author)
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Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application
- 2023
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In: Sustainable cities and society. - Göteborg : IVL Svenska Miljöinstitutet AB. - 2210-6707. ; 95, s. 104607-104607
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Journal article (peer-reviewed)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 MachineLearning 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.
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| 4. |
- Watne, Ågot K., et al.
(author)
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Tackling Data Quality When Using Low-Cost Air Quality Sensors in Citizen Science Projects
- 2021
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In: Frontiers in Environmental Science. - : Frontiers Media S.A.. - 2296-665X. ; 9
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Journal article (peer-reviewed)abstract
- Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities.LCS can provide an opportunity for the citizens to collect and contributewith their own air qualitydata. However, low data quality is often an issue when using LCS and with it a risk of unrealisticexpectations of a higher degree of empowerment than what is possible. If the data quality andintended use of the data is not harmonized, conclusionsmay be drawn on the wrong basis anddata can be rendered unusable.Ensuring high data quality is demanding in terms of labor andresources. The expertise, sensor performance assessment, post-processing, as well as thegeneral workload required will depend strongly on the purpose and intended use of the airquality data. It is therefore a balancing act to ensure that the data quality is high enough for thespecific purpose, while minimizing the validation effort. The aim of this perspective paper is toincrease awareness of data quality issues and provide strategies to minimizing labor intensityand expenses while maintaining adequate QA/QC for robust applications of LCS in citizenscience projects.We believe that air quality measurements performed by citizens can be betterutilized with increased awareness about data quality and measurement requirements, incombination with improved metadata collection. Well-documented metadata can not onlyincrease the value and usefulness for the actors collecting the data, but it also the foundation forassessment of potential integration of the data collected by citizens in a broader perspective.
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