Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM<sub>2.5</sub> for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM<sub>2.5</sub> for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Fine particulate matter with an aerodynamic diameter of less than 2.5 µm (PM<sub>2.5</sub>) is highly variable in space and time. In this study, the dynamics of PM<sub>2.5</sub> concentrations were mapped at high spatio-temporal resolutions using bicycle-based, mobile measure...

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Bibliographic Details
Main Authors: Ronan Hart, Lu Liang, Pinliang Dong
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
particulate pollution
landscape pattern
mobile monitoring
GIS
Lidar
Online Access:https://www.mdpi.com/1660-4601/17/14/4914

Internet

https://www.mdpi.com/1660-4601/17/14/4914

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