Monitoring and Assessment of Air Pollution—Global Diversity in Sources and Impacts

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

Deadline for manuscript submissions: closed (10 September 2022) | Viewed by 4134

Special Issue Editors

Atmospheric Composition Analysis Group, Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
Interests: air quality; atmospheric chemistry; environmental health; emission inventory; radiative transfer; remote sensing
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Guest Editor
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
Interests: air pollution; atmospheric modeling; greenhouse gas; climate–chemistry interactions
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Department of Atmospheric and Oceanic Science, Peking University, Beijing 100080, China
Interests: air quality; atmospheric modeling; PM2.5; public health

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Guest Editor
Nicholas School of Environment, Duke University, Durham, NC 27709, USA
Interests: intercontinental air quality transport; interactions between climate change, air quality, and human health; urban air pollution; assessments of climate change, social factors, economics, and agriculture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Air pollution has significantly interacted with human society during late modern and contemporary history. With usually short lifetimes and strong heterogeneity in sources, air pollution exhibits global diversities in abundances and trends, also yielding strong regionally and locally variant impacts on human and planetary health. The historical dominance of fossil-fuel emissions in causing particulate matter and ozone pollutions over developed regions have been gradually reduced, relative to the competitive or stronger contributions from other sources, which are more uncertain to characterize. Meanwhile, challenges remain in terms of correctly assessing and interpreting severe air pollutions and their impacts over developing areas, due to the stronger complexity of relevant sources and processes and the scarcity of observational information. Opportunities to quantify air pollution sources and impacts have been recently enhanced by emerging monitoring facilities, such as satellite remote sensing, low-cost sensors, and unmanned aerial vehicles, and by more sophisticated interpretation capabilities from numeric modeling and data science/machine learning techniques.

This Special Issue seeks original research or review papers that advance the characterization and/or understanding of air pollution worldwide. The specific subjects include but are not limited to:

1) Emerging observations of air pollution over under-monitored regions of the world, including new/modified observation platforms and capabilities;

2) Investigations that unveil unrecognized sources or new insights of air pollution, based on a synthesis of observations and modeling;

3) Assessment of air pollution impacts on human and planetary health, and their attribution to sources;

4) New interpretation and insights of air pollution sources and impacts arising from data science/machine learning techniques.

Dr. Chi Li
Prof. Dr. Xiao Lu
Dr. Jun-Wei Xu
Dr. Yuqiang Zhang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • atmospheric composition
  • sources and sinks
  • health impacts of air pollution
  • remote sensing
  • low-cost sensors
  • unmanned aerial vehicles
  • atmospheric modeling
  • data science/machine learning

Published Papers (2 papers)

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Research

19 pages, 4856 KiB  
Article
Multivariate Urban Air Quality Assessment of Indoor and Outdoor Environments at Chennai Metropolis in South India
by Manikanda Bharath Karuppasamy, Usha Natesan, Shankar Karuppannan, Lakshmi Narasimhan Chandrasekaran, Sajjad Hussain, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry, Ibrahim Alkayyadi and Hazem Ghassan Abdo
Atmosphere 2022, 13(10), 1627; https://doi.org/10.3390/atmos13101627 - 6 Oct 2022
Cited by 10 | Viewed by 1989
Abstract
The present study examines indoor and outdoor environmental particulate matter and gaseous pollutants in order to evaluate the urban air quality, the sources and pathways of pollutants, and its impact on Chennai megacity, South India. A total number of 25 air conditioner filter [...] Read more.
The present study examines indoor and outdoor environmental particulate matter and gaseous pollutants in order to evaluate the urban air quality, the sources and pathways of pollutants, and its impact on Chennai megacity, South India. A total number of 25 air conditioner filter particulate matter samples collected from residential buildings, schools, colleges, commercial shopping malls, and buildings near urban highways were studied for indoor air quality. Similarly, outdoor air quality assessments have been done in various parts of the Chennai metropolis, including the Manali-Industrial area, the Velachery-Residential site, and the Alandur Bus Depot, as well as collected air quality data sets from the Central Pollution Control Board at continuous ambient air quality monitoring stations. The suspended atmospheric particles where the highest concentration (47%) occurred were mostly located in the roadside environments followed by commercial areas (42%), which indicates the increase in air pollution in the roadside areas. Further, environmental magnetism and ecological risk indices were studied from the collected data set. The study predicts that the air pollutants were predominantly from anthropogenic sources, such as vehicle emissions, effluents from power plants, abrasion of tires, steelworks, burning of fossil fuels and construction materials, etc. As a result, the current study suggests 68% of indoor pollutants were from the anthropogenic input, 18% from the pedogenic origin, and 14% from high heavy metal pollution at the sampling sites. This indicates that raising the ventilation rate via mechanical components significantly enhances the indoor air quality. These findings might be valuable in improving urban air quality, reducing traffic-related pollutants, and improving environmental quality. Full article
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18 pages, 11000 KiB  
Article
Ozone Pollution and Its Response to Nitrogen Dioxide Change from a Dense Ground-Based Network in the Yangtze River Delta: Implications for Ozone Abatement in Urban Agglomeration
by Zhonghua He, Yue He, Gaofeng Fan, Zhengquan Li, Zhuoran Liang, He Fang and Zhao-Cheng Zeng
Atmosphere 2022, 13(9), 1450; https://doi.org/10.3390/atmos13091450 - 7 Sep 2022
Cited by 5 | Viewed by 1314
Abstract
Understanding the response of tropospheric ozone (O3) to nitrogen dioxide (NO2) change is important for local O3 control. The relationship between O3 and NO2 at county scale in China has been extensively studied using models, but [...] Read more.
Understanding the response of tropospheric ozone (O3) to nitrogen dioxide (NO2) change is important for local O3 control. The relationship between O3 and NO2 at county scale in China has been extensively studied using models, but there is a lack of results from direct measurements. In this study, we used measurements of O3, NO2 and meteorological conditions from a dense network in the Yangtze River Delta (YRD), and satellite observed formaldehyde (HCHO) and NO2 column densities for the analysis of O3 variabilities and its relationship to NO2. As a result, severe O3 pollution occurred mainly in Shanghai city, southern Jiangsu and northern Zhejiang provinces in YRD during April–September. In addition, meteorological conditions could explain 54% the diurnal O3 variation over YRD. During April–September 2015–2021, O3 showed a significant positive relationship (r = 0.61 ± 0.10) with NO2 after removing the impact from meteorological conditions. However, the relationship could be reversed with NO2 concentration change. Our result suggested that the controllable O3 related to NO2 change is up to 100 μg·m−3 in megacities over Shanghai and northern Zhejiang province. The O3 is much more sensitive to the NO2 reduction in megacities than surrounding areas. Our results evaluate the different impacts of NO2 changes on O3 formation, which provides explanation for the simultaneously alleviated O3 pollution and reduced NO2 in 2020 in Shanghai and northern Zhejiang, as well as the increased O3 in most counties before 2019 with reduced NO2 during October–March. The driving mechanism as revealed from this study for O3 and NO2 will be valuable for the O3 abatement through NO2 reduction at sub-county scale over YRD in China. Full article
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