Understanding the Spatial-Temporal Patterns and Influential Factors on Air Quality Index: The Case of North China

International Journal of Environmental Research and Public Health
Wenxuan XuXueqian Zhang

Abstract

North China has become one of the worst air quality regions in China and the world. Based on the daily air quality index (AQI) monitoring data in 96 cities from 2014-2016, the spatiotemporal patterns of AQI in North China were investigated, then the influence of meteorological and socio-economic factors on AQI was discussed by statistical analysis and ESDA-GWR (exploratory spatial data analysis-geographically weighted regression) model. The principal results are as follows: (1) The average annual AQI from 2014-2016 exceeded or were close to the Grade II standard of Chinese Ambient Air Quality (CAAQ), although the area experiencing heavy pollution decreased. Meanwhile, the positive spatial autocorrelation of AQI was enhanced in the sample period. (2) The occurrence of a distinct seasonal cycle in air pollution which exhibit a sinusoidal pattern of fluctuations and can be described as "heavy winter and light summer." Although the AQI generally decreased in other seasons, the air pollution intensity increased in winter with the rapid expansion of higher AQI value in the southern of Hebei and Shanxi. (3) The correlation analysis of daily meteorological factors and AQI shows that air quality can be significantly improved when daily ...Continue Reading

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Citations

Jan 18, 2020·International Journal of Environmental Research and Public Health·Ruyin LongQianwen Li
Dec 28, 2019·International Journal of Environmental Research and Public Health·Wei XueZhonghua Wu
May 13, 2021·Environmental Science and Pollution Research International·Hui Liu, Xinyu Zhang
Jul 25, 2021·Environmental Monitoring and Assessment·Shangkun YuWangsheng Dou

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