ORIGINAL RESEARCH
Spatial Distribution of Air Pollution
and Its Relationship with Meteorological Factors:
A Case Study of 31 Provincial Capitals in China
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1
College of Geography and Oceanography, Minjiang University, Fuzhou 350108, China
2
Anhui Province Key Laboratory of Atmospheric Sciences and Satellite Remote Sensing,
Anhui Institute of Meteorological Sciences, Hefei 230031, China
3
China School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
Submission date: 2022-12-31
Final revision date: 2023-01-26
Acceptance date: 2023-02-16
Online publication date: 2023-04-03
Publication date: 2023-05-18
Corresponding author
Jinlong Yu
Anhui Province Key Laboratory of Atmospheric Sciences and Satellite Remote Sensing, Anhui Institute of Meteorological Sciences, China
Pol. J. Environ. Stud. 2023;32(3):2513-2521
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ABSTRACT
Analyzing the spatial distribution of meteorological factors and air pollutants and its correlation is
of great importance for urban air pollution prevention. This study explored the spatial distribution of
meteorological factors and air pollutants, analyzed the correlation between meteorological factors and air
pollutants, and revealed the main meteorological factors that influence the air pollutants in 31 provincial
capitals of China during 2010-2020. The results show that the spatial distribution characteristics of air
pollutants and the days of air quality equal to or above grade II in 31 provincial capitals of China during
2010-2020 vary obviously. The days of air quality equal to or above grade II are negatively correlated
with the annual average concentration of NO2 and annual average concentration of PM10 during
2010-2020, and annual average concentration of SO2 during 2010 to 2018. The temperature, precipitation,
and relative humidity are the main meteorological factors affecting the air quality in different seasons
in 31 provincial capitals of China during 2010-2020. The findings will provide a scientific basis for
atmospheric environment control and urban air quality forecast.