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Air quality improvement assessment and exposure risk of Shandong Province in China during 2014 to 2020.
Wang, N N; Zhu, C Y; Li, Wei; Qiu, M Y; Wang, B L; Li, X Y; Jiang, B D; Qu, X Y; Li, Z S; Cheng, H C.
  • Wang NN; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Zhu CY; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Li W; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Qiu MY; State Grid of China Technology College, State Grid, Jinan, 250002 People's Republic of China.
  • Wang BL; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Li XY; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Jiang BD; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Qu XY; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Li ZS; College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 People's Republic of China.
  • Cheng HC; Weifang Municipal Ecology and Environment Bureau Shouguang Branch, Weifang, 262700 People's Republic of China.
Int J Environ Sci Technol (Tehran) ; : 1-10, 2022 Dec 19.
Article in English | MEDLINE | ID: covidwho-2175253
ABSTRACT
As one of the most polluted provinces in China, air pollution events occur frequently in Shandong. Based on the hourly (or daily) concentrations of six air pollutants (PM2.5, PM10, O3, NO2, SO2 and CO), the situations of air quality improvement in three kinds of cities (key cities, coastal cities and general cities) are assessed comprehensively during 2014-2020. Contrary to the daily maximum 8-h average ozone (MDA8 O3), the annual average concentrations of other pollutants show the downward trends during 2014-2020. Therein, the improvement rates of annual average concentrations of air pollutants in key cities are highest. By 2020, the day proportions of O3 as the primary pollutant are up to 38% in three kinds of cities. Besides, due to the impact of COVID-19, the monthly average concentrations of PM2.5, PM10, NO2, SO2 and CO in February 2020 decrease by 32.1-49.5% year-on-year. There are still about 50% of population exposed to high-risk regions (R i > 2), which are mainly concentrated in main urban areas and industrial areas. Thus, the adjustment of industrial structure and energy composition in the context of carbon peak and carbon neutrality should be implemented in the future. Supplementary Information The online version contains supplementary material available at 10.1007/s13762-022-04651-5.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Int J Environ Sci Technol (Tehran) Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Int J Environ Sci Technol (Tehran) Year: 2022 Document Type: Article