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https://doi.org/10.1080/1331677X.2021.1967772

The convergence of PM2.5 concentration in Chinese cities: a distribution dynamic approach

Weiran Lin
Qiuqin He
Haijing Yu


Puni tekst: engleski pdf 2.343 Kb

str. 2555-2573

preuzimanja: 54

citiraj


Sažetak

To fill the gap in the research on the convergence trend of air
pollutants since 2013 in China and overcome the Galton fallacy
caused by the parametric regression method, this study examines
the convergence trend of the annual average concentration of
fine particulate matter 2.5 (PM2.5) in China’s prefecture-level cities
after 2013 using a distribution dynamic approach. The winter
PM2.5 pollution in Chinese cities is severe. Hence, the convergence of the average winter PM2.5 concentration of prefecturelevel cities is also explored in this study. The results show that
during 2015–2019, the annual average PM2.5 concentration level
improved significantly. However, the average PM2.5 winter concentration level in 2015–2018 did not significantly decrease, with
some cities showing severe pollution levels. The annual average
PM2.5 of China’s prefecture-level cities exhibit club convergence,
while the PM2.5 concentration in winter exhibits ‘unikurtosis’. In
the long run, the annual average PM2.5 clusters around two levels, at approximately 35 lg/m3 and 60 lg/m3
, while the average
PM2.5 in winter is concentrated at 100 lg/m3
. In the long run, in
the central region, PM2.5 pollution is more severe than in northern and southern areas, regardless of the annual or winter average PM2.5 concentration.

Ključne riječi

Pollution convergence; kernel density; distribution dynamic; PM2.5; China

Hrčak ID:

302287

URI

https://hrcak.srce.hr/302287

Datum izdavanja:

31.3.2023.

Posjeta: 128 *