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Development and Performance Evaluation of a Low-Cost Portable $PM_{2.5}$ Monitor for Mobile Deployment
| Content Provider | MDPI |
|---|---|
| Author | Chen, Mingjian Yuan, Weichang Cao, Chang Buehler, Colby Gentner, Drew R. Lee, Xuhui |
| Copyright Year | 2022 |
| Description | The concentration of fine particulate matter $(PM_{2.5}$) is known to vary spatially across a city landscape. Current networks of regulatory air quality monitoring are too sparse to capture these intra-city variations. In this study, we developed a low-cost (60 USD) portable $PM_{2.5}$ monitor called Smart-P, for use on bicycles, with the goal of mapping street-level variations in $PM_{2.5}$ concentration. The Smart-P is compact in size (85 × 85 × 42 mm) and light in weight (147 g). Data communication and geolocation are achieved with the cyclist’s smartphone with the help of a user-friendly app. Good agreement was observed between the Smart-P monitors and a regulatory-grade monitor (mean bias error: −3.0 to 1.5 μg $m^{−3}$ for the four monitors tested) in ambient conditions with relative humidity ranging from 38 to 100%. Monitor performance decreased in humidity > 70% condition. The measurement precision, represented as coefficient of variation, was 6 to 9% in stationary mode and 6% in biking mode across the four tested monitors. Street tests in a city with low background $PM_{2.5}$ concentrations (8 to 9 μg $m^{−3}$) and in two cities with high background concentrations (41 to 74 μg $m^{−3}$) showed that the Smart-P was capable of observing local emission hotspots and that its measurement was not sensitive to bicycle speed. The low-cost and user-friendly nature are two features that make the Smart-P a good choice for empowering citizen scientists to participate in local air quality monitoring. |
| Starting Page | 2767 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s22072767 |
| Journal | Sensors |
| Issue Number | 7 |
| Volume Number | 22 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-04-04 |
| Access Restriction | Open |
| Subject Keyword | Sensors Industrial Engineering Transportation Science and Technology Low-cost Sensor Air Quality Hotspot Public Health Portable Monitor Crowdsourcing |
| Content Type | Text |
| Resource Type | Article |