Using Short‐Term Data to Quickly and Quantitatively Determine Formation Mechanisms of PM2.5 and Ozone

The short‐term exposure to high concentrations of fine particulate matter (PM2.5) and ozone increases the mortality burden in megacities. Quickly identifying formation mechanisms of PM2.5 and ozone is essential for the pollution control in the early stage. Min/max autocorrelation factor analysis (MA...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Clean : soil, air, water air, water, 2021-09, Vol.49 (9), p.n/a
Hauptverfasser:	Zhao, Enmin, Kuo, Yi‐Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Air pollution Autocorrelation Boundary layers Carbon monoxide Decision making Factor analysis formation mechanisms Government Government agencies Local government Megacities Oxidation Ozone Particulate emissions Particulate matter photochemical reaction Photochemical reactions Photochemicals Photochemistry Planetary boundary layer Pollutants Pollution control Relative humidity secondary inorganic aerosol Suspended particulate matter Wind speed Wuhan
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!