Spatial characterization of periodic behaviors of ground PM2.5 concentration across the Yangtze River Delta and the North China Plain during 2014–2024: A new insight on driving processes of regional air pollution

Fine particulate matter (PM2.5) has long been the major air pollutant across China, but its periodic behaviors are still not comprehensively understood at a regional scale. Spatial characterization of the periodic behaviors can sufficiently extract the spatiotemporal information of PM2.5 time series...

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Vydané v:	Environmental research Ročník 277; s. 121648
Hlavní autori:	Liu, Ying, Adamu, Andualem Tsehaye, Tan, Jianguo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 15.07.2025
Predmet:	air pollutants air pollution algorithms China coal cold season combustion FFT Fine particulate matter heat latitude particulates Periodic dynamics periodicity regression analysis river deltas Spatial pattern Temporal variation time series analysis vibration Yangtze River China Yangtze River Periodic dynamics Spatial pattern Fine particulate matter Temporal variation FFT
ISSN:	0013-9351, 1096-0953, 1096-0953
On-line prístup:	Získať plný text
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