Spatial and temporal distribution characteristics of PM2.5 and PM10 in the urban agglomeration of China’s Yangtze River Delta, China

• Autorzy: Yu Y. , Wang J. , Yu J. , Chen H. , Liu M.
• Języki publikacji: EN

Abstrakty

EN

Fine particles (PM₂.₅) and particulate matter (PM₁₀) monitoring data from 2015 to 2016 in 18 major cities in the Yangtze River Delta were analyzed to determine the temporal and spatial distribution characteristics of PM₂.₅ and PM₁₀ pollution in the Yangtze River Delta urban agglomeration, China. The results showed that the cities with the most serious PM₂.₅ and PM₁₀ pollution were mainly distributed along the Yangtze River in Jiangsu Province, while the lowest concentrations of PM₂.₅ and PM₁₀ were measured in Zhoushan of Zhejiang Province. The PM₂.₅ and PM₁₀ concentrations in 2016 were lower than those in 2015. In 2015 and 2016, the PM₂.₅ and PM₁₀ concentrations were the highest in winter, followed by spring, and the concentrations were the lowest in summer. In 2015 and 2016 the average annual concentrations of PM₂.₅ and PM₁₀ were lower than the ambient air quality standard of China (Grade II; PM₂.₅: 35 µg/g and PM₁₀: 70 µg/g) in Zhoushan only, but were higher than the particulate pollutant emission limits of the United States and the European Union. The ratios of PM₂.₅/PM₁₀ in the urban agglomeration were greater than 0.5, indicating that the pollution in the atmospheric particulate matter in the Yangtze River Delta was generally less than 2.5 μm.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2019
• Tom: 28
• Numer: 1
• Opis fizyczny: p.445-452,fig.,ref.

Twórcy

autor

Yu Y.

• School of Urban Planning, Yancheng Teachers University, Yancheng, China

autor

Wang J.

• Key Laboratory of Estuarine and Coastal Sciences, East China Normal University, Shanghai, Shanghai, China

autor

Yu J.

• Fifth Geological Brigade of Hebei Bureau of Geology and Mineral Resources, Tangshan, China

autor

Chen H.

• School of Urban Planning, Yancheng Teachers University, Yancheng, China

autor

Liu M.

• School of Geographic Sciences, East China Normal University, Shanghai, China

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Identyfikatory

DOI

10.15244/pjoes/83730