Spatial characteristics of change trends of air pollutants in Chinese urban areas during 2016–2020: The impact of air pollution controls and the COVID-19 pandemic

Gao, Chanchan; Zhang, Fengying; Fang, Dekun; Wang, Qingtao; Liu, Min

doi:10.1016/j.atmosres.2022.106539

Cited by 22 publications

(16 citation statements)

References 48 publications

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“…The CO and NO 2 concentrations displayed a significant relationship with atmosphere temperature, while the O 3 concentration was closely linked to relative humidity and the sunshine duration [ 53 ]. Decreases in PM 2.5 , PM 10 , NO 2 , SO 2 , and CO levels were found in about 91%, 92%, 75%, 94%, and 89% of 336 Chinese cities from 2016 to 2020, respectively, while an increase in O 3 was found in about 87% of 336 Chinese cities [ 54 ].…”

Section: Resultsmentioning

confidence: 99%

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Guo

Wang

2023

Toxics

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Air pollution affects climate change, food production, traffic safety, and human health. In this paper, we analyze the changes in air quality index (AQI) and concentrations of six air pollutants in Jinan during 2014–2021. The results indicate that the annual average concentrations of PM10, PM2.5, NO2, SO2, CO, and O3 and AQI values all declined year after year during 2014–2021. Compared with 2014, AQI in Jinan City fell by 27.3% in 2021. Air quality in the four seasons of 2021 was obviously better than that in 2014. PM2.5 concentration was the highest in winter and PM2.5 concentration was the lowest in summer, while it was the opposite for O3 concentration. AQI in Jinan during the COVID epoch in 2020 was remarkably lower compared with that during the same epoch in 2021. Nevertheless, air quality during the post-COVID epoch in 2020 conspicuously deteriorated compared with that in 2021. Socioeconomic elements were the main reasons for the changes in air quality. AQI in Jinan was majorly influenced by energy consumption per 10,000-yuan GDP (ECPGDP), SO2 emissions (SDE), NOx emissions (NOE), particulate emissions (PE), PM2.5, and PM10. Clean policies in Jinan City played a key role in improving air quality. Unfavorable meteorological conditions led to heavy pollution weather in the winter. These results could provide a scientific reference for the control of air pollution in Jinan City.

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Section: Resultsmentioning

confidence: 99%

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Guo

Wang

2023

Toxics

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“…In response to the outbreak of coronavirus disease 2019 (COVID-19), the Chinese government rapidly implemented a series of prevention and control measures [ 51 ]. During the epidemic, measures such as business shutdowns and vehicle restrictions reduced air pollution from industrial production and vehicle emissions [ 52 ], potentially affecting the reduction in ICH mortality. Future studies may specifically investigate the effects of COVID-19 prevention and control measures on ICH mortality in Tianjin residents.…”

Section: Discussionmentioning

confidence: 99%

Effects of air pollution control policies on intracerebral hemorrhage mortality among residents in Tianjin, China

Yin

Wang

et al. 2023

BMC Public Health

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Background Exposure to air pollution is an important risk factor for intracerebral hemorrhage (ICH), which is a major cause of death worldwide. However, the relationship between ICH mortality and air quality improvement has been poorly studied. This study aims to evaluate the impact of the air pollution control policies in the Beijing-Tianjin-Hebei region on ICH mortality among Tianjin residents. Methods This study used an interrupted time series analysis. We fitted autoregressive integrated moving average (ARIMA) models to assess the changes in ICH deaths before and after the interventions of air pollution control policies based on the data of ICH deaths in Tianjin collected by the Tianjin Center for Disease Control and Prevention. Results Between 2009 and 2020, there were 63,944 ICH deaths in Tianjin, and there was an overall decreasing trend in ICH mortality. The intervention conducted in June 2014 resulted in a statistically significant (p = 0.03) long-term trend change, reducing the number of deaths from ICH by 0.69 (95% confidence interval [CI]: -1.30 to -0.07) per month. The intervention in October 2017 resulted in a statistically significant (p = 0.04) immediate decrease of 25.74 (95% CI: -50.62 to -0.85) deaths from ICH in that month. The intervention in December 2017 caused a statistically significant (p = 0.04) immediate reduction of 26.58 (95% CI: -52.02 to -1.14) deaths from ICH in that month. The intervention in March 2018 resulted in a statistically significant (p = 0.02) immediate decrease of 30.40 (95% CI: -56.41 to -4.40) deaths from ICH in that month. No significant differences were observed in the changes of male ICH mortality after any of the four interventions. However, female ICH deaths showed statistically significant long-term trend change after the intervention in June 2014 and immediate changes after the interventions in December 2017 and March 2018. Overall, the interventions prevented an estimated 5984.76 deaths due to ICH. Conclusion During the study period, some interventions of air pollution control policies were significantly associated with the reductions in the number of deaths from ICH among residents in Tianjin. ICH survivors and females were more sensitive to the protective effects of the interventions. Interventions for air pollution control can achieve public health gains in cities with high levels of air pollution.

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“…In order to achieve the goals of reducing O3 and PM2.5 by 5% and 25% by 2025, respectively, regional SO2, NOx, NH3, VOCs, and primary PM2.5 emissions should be reduced by 23%, 18%, 14%, 17%, and 33% compared to 2017, respectively (Dong et al, 2023). Based on the harmonic model, decreases in PM10, PM2.5, SO2, NO2, and CO levels were found in 91.9%, 90.7%, 94.3%, 75.2%, and 88.7% of Chinese cities over 2016-2020, respectively, while an increase in O3 was found in 87.2% of Chinese cities (Gao et al, 2023). The trough O3 increases by 4.5 µg m -3 per year in Beijing from 2014 to 2019.…”

Section: Comparison With Other Literaturesmentioning

confidence: 93%

The Characteristics of Air Quality Changes in Hohhot City in China and their Relationship with Meteorological and Socio-economic Factors

Guo,

He,

Wang

2024

Aerosol Air Qual. Res.

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Air pollution affects sustainable development of the natural environment and social economy. In this article, the changes in air quality index (AQI) and six air pollutants in Hohhot during 2014-2022 are analyzed. The results imply that the annual average concentrations of five air pollutants (SO2, PM10, PM2.5, NO2, and CO) and AQI values declined year by year over 2014-2022. Compared with 2014, AQI in Hohhot fell by 22.5% in 2022. However, the annual average concentrations of O3 increased year by year. PM2.5 and PM10 were the major factors in influencing AQI. Among the five types of atmospheric pollutants, the relationship between NO2 and O3 is strongest, implying that NO2 plays a significant influence in the formation of O3 and PM2.5. Meteorological and socioeconomic factors have a significant impact on air quality. The average wind speed (AWS), average pressure (AP), sulfur dioxide emissions (SOE), nitrogen oxide emissions (NOE), and particulate matter emissions (PME) have a positive effect on changes in air quality. The results provide the information of great importance for the management of air quality in Hohhot City.

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Spatial characteristics of change trends of air pollutants in Chinese urban areas during 2016–2020: The impact of air pollution controls and the COVID-19 pandemic

Cited by 22 publications

References 48 publications

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Effects of air pollution control policies on intracerebral hemorrhage mortality among residents in Tianjin, China

The Characteristics of Air Quality Changes in Hohhot City in China and their Relationship with Meteorological and Socio-economic Factors

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