Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies
Description:
This article maps the dynamics of PM2.5 concentrations at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus.
Date:
July 8, 2020
Creator:
Hart, Ronan; Liang, Lu & Dong, Pinliang
Item Type:
Refine your search to only
Article
Partner:
UNT College of Liberal Arts & Social Sciences