Variations in characteristics and transport pathways of PM2.5 during heavy pollution episodes in 2013–2019 in Jinan, a central city in the north China Plain

Wang, Gang; Zhu, Zhongyi; Zhao, Na; Peng, Wei; Li, Guohao; Zhang, Hanyu

doi:10.1016/j.envpol.2021.117450

Cited by 14 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zheng et al (2020b) reported that levels of sulfate, organic carbon, and secondary inorganic aerosols increased by 2.5%-8.7% in Wuhan city from January 23 to February 22, 2020, suggesting the enhanced secondary formation of PM 2.5 with increased humidity. Our previous results found that the increasing conversions from precursor gases to corresponding particulate phases resulted in higher PM 2.5 concentrations during heavy pollution episodes (Liu et al, 2017;Wang et al, 2021). Therefore, in terms of wind speed and humidity, the meteorological conditions during COVID-19 in 2019 were more favorable for the diffusion of pollutants compared with the same period in 2020.…”

Section: Improved Air Quality With 2019 Covid-19 Outbreak Except Jina...mentioning

confidence: 92%

“…The modal aerosol dynamics model for Europe (MADE/SORGAM) was used to calculate the aerosol chemistry. The initial and lateral meteorological boundary conditions for WRF/Chem were generated from the National Centre for Environmental Prediction (NCEP) Final Analysis (FNL) data, which were available at a 1 • × 1 • resolution and temporal resolution of 6 h. Our previous work contains more detailed descriptions of WRF/Chem (Chen et al, 2018;Wang et al, 2021;Zhao et al, 2021b). A two-level nested-grid architecture was employed for implementation of the WRF/Chem modeling system (Fig.…”

Section: Modeling System 221 Model Selection and Parameter Settingsmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions

Zhao

Wang

et al. 2021

Atmospheric Environment

Self Cite

View full text Add to dashboard Cite

Section: Improved Air Quality With 2019 Covid-19 Outbreak Except Jina...mentioning

confidence: 92%

Section: Modeling System 221 Model Selection and Parameter Settingsmentioning

confidence: 99%

Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions

Zhao

Wang

et al. 2021

Atmospheric Environment

Self Cite

View full text Add to dashboard Cite

“…Recently, the air quality in Ji'nan has received considerable attention 31 . However, the air pollution problem has long been a vital factor limiting the development of Ji'nan city and surrounding regions.…”

mentioning

confidence: 99%

The regional impact of the COVID-19 lockdown on the air quality in Ji'nan, China

Jiang

et al. 2022

Sci Rep

View full text Add to dashboard Cite

A number of strict lockdown measures were implemented in the areas most affected by COVID-19 in China, including Ji’nan city, from 24 January to 7 February 2020. Due to these forced restrictions, the pollution levels in cities across the country drastically decreased within just a few days. Since traffic pollution and industrial emissions are important factors affecting regional air quality, congestion has a significant impact on the environment. Therefore, using the aid of air quality data for six pollutants (PM10, PM2.5, SO2, NO2, CO and O3) from 11 monitoring stations (located in urban, suburban and urban-industrial regions) across Ji’nan, we employed the air quality index (AQI) to investigate the spatial pattern of air quality in the pre-COVID-19 (pre-COVID) and COVID-19-related lockdown (COVID lockdown) periods. The results showed that air quality significantly improved during the COVID lockdown period. Among the selected pollutants, compared to the corresponding pre-COVID levels, the greatest reduction was observed for the concentration of NO2 (54.02%), while the smallest reduction was observed for the concentration of SO2 (27.92%). The PM2.5 (38.73%), PM10 (44.92%) and CO (30.60%) levels also decreased during the COVID lockdown period; only the O3 concentration increased (37.42%) during this period. Overall, air quality improved by approximate improvements of 37.33% during the COVID lockdown period. Approximately 35.48%, 37.01% and 43.43% in the AQI were observed in urban, suburban and urban-industrial regions, respectively. Therefore, the AQI exhibited remarkable regional differences in Ji'nan. This study demonstrates the contributions of the transportation sector and local emissions to improving air quality in typical urban areas, and these research results can provide guidance for the further monitoring of air pollution in northern Chinese cities.

show abstract

“…Over the past two decades, with the rapid development of urbanization and industrialization, China, as the largest developing country in the world, has been faced with extremely serious air quality problems, and all parts of the country have been deeply affected by haze weather [1,2]. Zhengzhou is a representative city of cold areas in central China, assuming the role of a national transportation hub.…”

Section: Introductionmentioning

confidence: 99%

Accumulation and Diffusion of PM from Outdoor to Indoor by Clothing under Haze Conditions: A Case Study of Zhengzhou, China

Chen

et al. 2023

Indoor Air

View full text Add to dashboard Cite

Clothing can absorb fine particulate pollutants from the atmosphere outdoors and then release them after entering the room in a form similar to three-handed smoke. In this study, the experimental site in Zhengzhou, a typical city with heavy pollution in central China, was used to investigate the adsorption and diffusion patterns of three different fabrics of polyester, polyester-cotton, and cotton clothing for fine particle pollutants, to guide people’s behavior patterns and indoor air distribution, and to reduce indoor pollution exposure. The results showed that when garments of three different fabrics were exposed to moderate and heavy PM2.5 pollution for 1 h, 2 h, and 3 h, respectively, and then transferred to the diffusion chamber, polyester always released the highest PM2.5 concentration to indoor air during the same release cycle, followed by cotton and polyester-cotton. In addition, the concentration of indoor air pollutants will be periodically affected by the diffusion of fine particulate adsorbed by clothing fabrics. With the increase in outdoor pollution and exposure duration, the indoor PM2.5 concentration takes longer to stabilize at certain levels after the clothing is transferred to the indoor side. Finally, the comparison of natural ventilation experiments proved that it is not feasible to rely solely on natural ventilation to improve the influence of clothing pollution sources on indoor air quality.

show abstract

Variations in characteristics and transport pathways of PM2.5 during heavy pollution episodes in 2013–2019 in Jinan, a central city in the north China Plain

Cited by 14 publications

References 26 publications

Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions

Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions

The regional impact of the COVID-19 lockdown on the air quality in Ji'nan, China

Accumulation and Diffusion of PM from Outdoor to Indoor by Clothing under Haze Conditions: A Case Study of Zhengzhou, China

Contact Info

Product

Resources

About