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A methodology for the characterization of portable sensors for air quality measure with the goal of deployment in citizen science
- Source :
- Science of the Total Environment, Science of the Total Environment, 2020, 708, pp.134698. ⟨10.1016/j.scitotenv.2019.134698⟩, Science of the Total Environment, Elsevier, 2020, 708, pp.134698. ⟨10.1016/j.scitotenv.2019.134698⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; The field of small air quality sensors is of growing interest within the scientific community, especially because this new technology is liable to improve air pollutant monitoring as well as be used for personal exposure quantification. Amongst the myriad existing devices, the performances are highly variable; this is why the sensors must be rigorously assessed before deployment, according to the intended use. This study is included in the Polluscope project; its purpose is to quantify personal exposure to air pollutants by using portable sensors. This paper designs and applies a methodology for the evaluation of portable air quality sensors to eight devices measuring PM, BC, NO2 and O3. The dedicated testing protocol includes static ambient air measurements compared with reference instruments, controlled chamber and mobility tests, as well as reproducibility evaluation. Three sensors (AE51, Cairclip and Canarin) were retained to be used for the field campaigns. The reliability of their performances were robustly quantified by using several metrics. These three devices (for a total of 36 units) were deployed to be worn by volunteers for a week. The results show the ability of sensors to discriminate between different environments (i.e., cooking, commuting or in an office). This work demonstrates, first, the ability of the three selected sensors to deliver data reliable enough to enable personal exposure estimations, and second, the robustness of this testing methodology.
- Subjects :
- Environmental Engineering
010504 meteorology & atmospheric sciences
Computer science
Real-time computing
010501 environmental sciences
01 natural sciences
Black carbon
Air pollutants
Robustness (computer science)
11. Sustainability
Citizen science
[SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health
Environmental Chemistry
Waste Management and Disposal
Air quality index
Nitrogen oxides
0105 earth and related environmental sciences
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health
[SDE.IE]Environmental Sciences/Environmental Engineering
Paris region
Pollution
Ambient air
Personal exposure
[SDU]Sciences of the Universe [physics]
Software deployment
[SDE.IE] Environmental Sciences/Environmental Engineering
Mobile measurements
Particulate matter
Subjects
Details
- Language :
- English
- ISSN :
- 00489697 and 18791026
- Database :
- OpenAIRE
- Journal :
- Science of the Total Environment, Science of the Total Environment, 2020, 708, pp.134698. ⟨10.1016/j.scitotenv.2019.134698⟩, Science of the Total Environment, Elsevier, 2020, 708, pp.134698. ⟨10.1016/j.scitotenv.2019.134698⟩
- Accession number :
- edsair.doi.dedup.....27b9d7b004310e2af4011cada2aa98b7
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2019.134698⟩