Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25020252
- Type
- D - Journal article
- DOI
-
10.1038/s41598-019-43716-3
- Title of journal
- Scientific Reports
- Article number
- 7497
- First page
- -
- Volume
- 9
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
8
- Research group(s)
-
C - Cyber Security
- Citation count
- 43
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this paper we characterise low-cost Particulate Matter sensors as indicators of Air Quality. The sensors are of low accuracy but can be used to indicate fluctuations in PM. This six location, 24 sensor field experiment is significant as these sensors are being deployed in large numbers across the globe, without a clear understanding of their limitations. This publication resulted in a second stage ongoing larger field deployment with over 200 sensors. It is also the basis of a third study and open source project (PyonAir). The supporting open source sensor drivers have been installed over 1000 times (https://github.com/FEEprojects).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -