Physical and Chemical Properties, Emission Characteristics and Sources of Atmospheric Aerosols

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 6418

Special Issue Editors

Department of Chemistry, University of Warwick, Coventry CV4 7AL, UK
Interests: aerosols; chemical characteristics; receptor model; source apportionment; aerosol acidity; formation mechanism
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Geography, Earth and Environmental Science, University of Birmingham, Birmingham B15 2TT, UK
Interests: source emissions; source apportionment; atmospheric chemistry; policy assessment
College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
Interests: receptor model; source apportionment; machine learning; air pollution.

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Guest Editor
School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK
Interests: aerosol chemistry; source apportionment; analytical developments; secondary organic aerosols
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Air pollution ranked the fourth largest risk factor in terms of human health according to the Global Burden of Disease Study in 2019. Largest increase in risk exposure has been seen for particulate matter (PM) pollution. In addition to health implications, aerosols acting as cloud condensation nuclei (CCN) or ice nuclei particles (INP) can interact with clouds thus affecting the global climate. To understand the role of aerosols in both public health and climate, we propose the Special Issue ‘Physical and Chemical Properties, Emission Characteristics and Sources of Atmospheric Aerosols’ to encourage researchers to share recent advances in such topic. This topic focuses on sources and processes of aerosols collected from traffic, urban, rural or marine atmosphere. Both natural (e.g., sea spray aerosols, mineral dust, biomass burning and biogenic aerosols, etc.) and anthropogenic (e.g., on-road vehicles, industrial, shipping, residential solid fuel burning, etc.) sources can contribute to the aerosol burden in the atmosphere. We welcome papers contributing to the characterization (e.g., chemical composition, size distribution, etc.) of source emissions from both laboratory studies and field measurements. Research on evolving/aging processes from source to receptor, physical and chemical properties and source apportionment of aerosols using online/ offline measurements are all welcome. Authors are also encouraged to include a section on the implications for future aerosols research, air quality improvement and possible abatement strategies, etc.

Topics of interest for the Special Issue include but are not limited to:

  • Investigation of ambient aerosols' physical and chemical properties
  • Aerosol emission flux measurements
  • Physical and chemical properties of aerosol source emissions
  • Aerosol source apportionment
  • Method development of PM-related organic compounds analysis
  • Comparison of different source apportionment methods

Dr. Jingsha Xu
Dr. Congbo Song
Dr. Qili Dai
Dr. Deepchandra Srivastava
Guest Editors

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Keywords

  • particulate matters
  • chemical compositions
  • emission characteristics
  • organic tracers
  • source apportionment
  • air pollution health impacts

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Published Papers (2 papers)

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Research

20 pages, 4697 KiB  
Article
Elucidating the Chemical Compositions and Source Apportionment of Multi-Size Atmospheric Particulate (PM10, PM2.5 and PM1) in 2019–2020 Winter in Xinxiang, North China
by Huanjia Liu, Mengke Jia, Ke You, Jingjing Wang, Jie Tao, Hengzhi Liu, Ruiqin Zhang, Lanqing Li, Mengyuan Xu, Yan Ren, Yijie Zhao, Yongli Liu, Ke Cheng, Yujuan Fan and Juexiu Li
Atmosphere 2022, 13(9), 1400; https://doi.org/10.3390/atmos13091400 - 31 Aug 2022
Cited by 6 | Viewed by 1870
Abstract
The pollution characteristics of multi-size atmospheric particulates in Xinxiang, which was one of the most polluted cities across China, are still unclear even through air quality in Xinxiang has been improved in recent years. PM10, PM2.5, and PM1 [...] Read more.
The pollution characteristics of multi-size atmospheric particulates in Xinxiang, which was one of the most polluted cities across China, are still unclear even through air quality in Xinxiang has been improved in recent years. PM10, PM2.5, and PM1 samples were synchronously collected from 21 December 2019 to 17 January 2020 to explore pollution levels and reveal sources of PM in Xinxiang. The average mass concentrations of PM10, PM2.5, and PM1 were as high as 155.53 μg m−3, 120.07 μg m−3, and 85.64 μg m−3 during the observation period, respectively. Almost all of the chemical compositions in PM10, PM2.5 and PM1 increased continuously and obviously with the aggravation of the pollution level. Compared with the clean period, the enhancement of sulfate (23–27%) in PM was obvious higher than nitrate (19–22%) during the pollution period, which demonstrated that sulfate was the main contributor to the high concentration of PM in this study. Similar source distributions for PM10, PM2.5, and PM1 were also found, including traffic source, combustion source, secondary aerosols, industrial source, and fugitive dust, by using the positive matrix factorization (PMF) model. Furthermore, the contributions of the combustion source and secondary aerosol were found to be higher in smaller particles (PM2.5 and PM1), while the contribution of fugitive dust was higher in PM10. Moreover, dust and sand were entrained by air masses from the northwest that increased the contribution of dust in PM at the observation site. The potential source contribution function (PSCF) analysis illustrated that regional emission sources in northern and eastern Xinxiang might be important potential contributors to PM pollution in Xinxiang. Full article
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17 pages, 2121 KiB  
Article
Air Pollutants and CO2 Emissions in Industrial Parks and Evaluation of Their Green Upgrade on Regional Air Quality Improvement: A Case Study of Seven Cities in Henan Province
by Wanting Hei, Xiao Li, Gengyu Gao, Shanshan Wang, Ruiqin Zhang and Ke Wang
Atmosphere 2022, 13(3), 383; https://doi.org/10.3390/atmos13030383 - 24 Feb 2022
Cited by 7 | Viewed by 3241
Abstract
Although central to the promotion of regional economic development, industrial parks discharge large quantities of air pollutants and CO2, counter to the goals of air quality improvement and CO2 reductions in China. In this study, 13 industrial parks in seven [...] Read more.
Although central to the promotion of regional economic development, industrial parks discharge large quantities of air pollutants and CO2, counter to the goals of air quality improvement and CO2 reductions in China. In this study, 13 industrial parks in seven cities in Henan Province were chosen to evaluate their emission of air pollutants and CO2 in 2017, their reduction potential under different green measures, and their air quality improvements under a Green Upgrade scenario. The results show that: (1) The total emissions of SO2, NOx, CO, PM10, PM2.5, VOCs and CO2 in the 13 industrial parks were 43, 39, 351, 19, 7, 18, 2 kt and 36 Mt, and would decrease by 72, 56, 19, 30, 26, 77 and 30%, respectively, under the Green Upgrade scenario. (2) The industrial process was the major source of CO, PM2.5, VOCs and NH3, whereas power plants were the largest source of SO2 and NOx, and they would be reduced by 93, 59, 94, 91, 23 and 28%, respectively, under the Green Upgrade scenario. (3) The terminal energy use sector (including industrial boilers and industrial process sources) was the main source of CO2, accounting for 75% of total CO2 emissions, and would be reduced by 76% under the Green Upgrade scenario. (4) WRF-CMAQ simulation results show that, under the Green Upgrade scenario, the concentration of PM2.5 in a transmission channel city would be improved by 1–36 μg/m3, with an annual average value of 9 μg/m3. Our results demonstrate the significant effect of the synergistic reduction in air pollutants and CO2 emissions using Green Technologies in industrial parks and the subsequent improvement in regional air quality. Full article
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