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Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies
This article maps the dynamics of PM2.5 concentrations at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus.
Date:
June 5, 2020
Creator:
Hart, Ronan; Liang, Lu & Dong, Pinliang
System:
The UNT Digital Library