Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps
We present an approach to analyzing fine particulate matter (PM<sub>2.5</sub>) data from a network of “low cost air quality monitors„ (LCAQM) to obtain a finely resolved concentration map. In the approach, based on a dispersion model, we first identify the probable lo...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-04-01
|
| Series: | International Journal of Environmental Research and Public Health |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1660-4601/16/7/1252 |