An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China

Wu, Huisheng; Hu, Maogui; Zhang, Yaping; Yuan, Han

doi:10.3390/su132212901

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Meteorological factors include temperature, humidity, wind speed, visibility, and precipitation. It is generally believed that air quality has a trend of improving year by year in China [29], which we assume also exists in Tangshan. The model was controlled with a dummy variable Trend, which was introduced only when the number of study days per year exceeded six months.…”

Section: Difference-in-differences (Did) Modelmentioning

confidence: 97%

Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China

Shan

Liu

et al. 2023

IJERPH

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This study aimed to analyze the main factors influencing air quality in Tangshan during COVID-19, covering three different periods: the COVID-19 period, the Level I response period, and the Spring Festival period. Comparative analysis and the difference-in-differences (DID) method were used to explore differences in air quality between different stages of the epidemic and different years. During the COVID-19 period, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3-8h) decreased significantly compared to 2017–2019. For the Level I response period, the reduction in AQI caused by COVID-19 control measures were 29.07%, 31.43%, and 20.04% in February, March, and April of 2020, respectively. During the Spring Festival, the concentrations of the six pollutants were significantly higher than those in 2019 and 2021, which may be related to heavy pollution events caused by unfavorable meteorological conditions and regional transport. As for the further improvement in air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors.

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Section: Difference-in-differences (Did) Modelmentioning

confidence: 97%

Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China

Shan

Liu

et al. 2023

IJERPH

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show abstract

“…Meteorological factors include temperature, humidity, wind speed, visibility, and precipitation. It is usually that there is a trend of improving air quality year by year (Wu et al 2021), and…”

Section: Difference-in-differences (Did) Modelmentioning

confidence: 99%

Analysis of factors influencing air quality in different periods during COVID- 19: A case study of Tangshan, China

Shan

Liu

et al. 2022

Preprint

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Since the outbreak of COVID-19, China has experienced the Level I, Level II, and Level III responses to the epidemic, with different measures have an impact on air quality in difference periods. This study aimed to analyze the main factors influencing air quality in three different periods during COVID-19 in Tangshan: the COVID-19 period, the Level I response period, and the Spring Festival period. Here, we used comparative analysis and difference-in-differences (DID) method to explore differences in air quality. During COVID-19, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3-8h) decreased significantly compared to 2017–2019. Air quality improved may be the result of industry closures not related to livelihoods during COVID-19 in 2020. For the Level I response period, multiple linear regression (MLR) models were used to quantify the impact of COVID-19 control measures on AQI, and it was shown that the measures reduced the average AQI by 29.07%, 31.43%, and 20.04% in February, March, and April 2020, respectively. During the Spring Festival, the concentrations of the above-mentioned six pollutants were significantly higher than those in 2019 and 2021 as there were two heavy pollution episodes in 2020, and the possible pollutant sources were local emissions and short-distance transportation. As for the further improvement of air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors.

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Quantification for photochemical loss of volatile organic compounds upon ozone formation chemistry at an industrial city (Zibo) in North China Plain

Wang,

Zheng,

Liu

et al. 2024

Environmental Research

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An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China

Cited by 6 publications

References 19 publications

Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China

Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China

Analysis of factors influencing air quality in different periods during COVID- 19: A case study of Tangshan, China

Quantification for photochemical loss of volatile organic compounds upon ozone formation chemistry at an industrial city (Zibo) in North China Plain

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