Analysis of the Characteristics of Ozone Pollution in the North China Plain from 2016 to 2020

• Published in: Atmosphere Vol. 13; no. 5; p. 715
• Main Authors: Wang, Xinyu, Zhao, Wenhui, Zhang, Tianyue, Qiu, Yun, Ma, Pengfei, Li, Lingjun, Wang, Lili, Wang, Mi, Zheng, Dongyang, Zhao, Wenji
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-05-2022
• Subjects: Air pollution; Anthropogenic factors; Clean energy; Emissions; Emissions control; High temperature; Industrial plants; Industrial production; Interpolation; Kriging interpolation; Low pressure; Meteorological conditions; Monitoring systems; North China Plain; Outdoor air quality; Ozone; Pollutants; Pollution; pollution analysis; Precursors; Regions; Seasonal variability; Seasonal variation; Seasonal variations; Spatial analysis; Spatial distribution; Statistical methods; temporal and spatial distribution; Temporal distribution; Temporal variations; VOCs; Volatile organic compounds; Wind; Yangtze River Delta; Beijing China; China
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos13050715

As a major gaseous pollutant, ozone (O3) adversely affects human health and ecosystems. In recent years, ozone pollution in China has gradually become a prominent issue, especially in the North China Plain (NCP). To study the long-term spatio-temporal variation patterns of O3 in the NCP, this study selected 230 monitoring stations in the NCP from 2016 to 2020 as research objects, used the Kriging interpolation method and global Moran’s index to discuss the spatial-temporal distribution of O3, combining meteorological and social statistical data to analyze the causes underlying regional differences. The temporal analysis demonstrated that the O3-8h average concentrations increased annually from 2016 to 2018 and decreased from 2019 to 2020. The O3 concentrations were higher in spring and summer (117.89–154.20 μg/m3) and lower in autumn and winter (53.81–92.95 μg/m3). The spatial analysis revealed that O3 concentrations were low in the north and south of the NCP but high in the central area. The spatial distribution of O3 exhibited considerable cross-seasonal variability. Both meteorological conditions of high temperature and low pressure increased O3 concentrations. The spatial distribution of O3 varied depending on the period. However, the central and western regions of the Shandong Province were constantly characterized by high O3 concentrations. This pattern has been likely formed by heavy industry in the Shandong Province, as large-scale industrial production and frequent traffic flows produce a large amount of precursors, thereby exacerbating regional O3 pollution. These characteristics were attributed to emission reduction policies, meteorological conditions, the emission intensity of anthropogenic sources, and regional transport in the NCP. Overall, for cities with heavy industrial facilities in the central NCP, a timely adjustment of the energy and industrial structure, effectively controlling the emission of precursors, promoting new clean energy, and strengthening regional joint prevention and control are effective ways to alleviate O3 pollution.