Calibration of a low-cost PM2.5 monitor using a random forest model
Background: Particle air pollution has adverse health effects, and low-cost monitoring among a large population group is an effective method for performing environmental health studies. However, concern about the accuracy of low-cost monitors has affected their popularization in monitoring projects....
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-12-01
|
| Series: | Environment International |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412019322780 |