Recent Advances in Air Quality Management

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

Deadline for manuscript submissions: closed (26 January 2024) | Viewed by 2223

Special Issue Editor


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Guest Editor
Department of Chemical Engineering, University of West Macedonia, 50100 Kozani, Greece
Interests: outdoor air pollution; indoor air pollution; IoT-based and cloud computing for indoor/outdoor air quality; development of mobile applications for the dissemination of air quality indices

Special Issue Information

Dear Colleagues,

Air pollution is not a recent phenomenon (Seneca the Younger complained bitterly about air quality in ancient Rome) and attempts to control it date back to the 1880s. In recent decades, emissions of many air pollutants have been significantly reduced in many countries, resulting in improved air quality. However, the risks remain high for several populations, and there is still much to learn about the sources and impacts of air pollution. To effectively monitor air pollution in an area, information from fixed measurements may be supplemented by modelling techniques and/or indicative measurements to enable point data to be interpreted in terms of geographical distribution of concentrations.

Dr. Vasilios Evagelopoulos
Guest Editor

Manuscript Submission Information

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Keywords

  • outdoor air pollution
  • indoor air pollution
  • air pollution monitoring
  • air pollution management
  • air quality modeling
  • urban air pollution
  • industrial emissions
  • climate change and air pollution

Published Papers (2 papers)

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Research

21 pages, 3398 KiB  
Article
Variability of Air Pollutant Concentrations and Their Relationships with Meteorological Parameters during COVID-19 Lockdown in Western Macedonia
by Paraskevi Begou, Vasilios Evagelopoulos and Nikolaos D. Charisiou
Atmosphere 2023, 14(9), 1398; https://doi.org/10.3390/atmos14091398 - 04 Sep 2023
Cited by 1 | Viewed by 741
Abstract
The lockdown implemented to tackle the spread of the COVID-19 pandemic had a positive impact on air quality. Globally, studies have shown that air pollutant levels decreased temporally during the restriction measures. In this study, we evaluated the impact of COVID-19 restrictions on [...] Read more.
The lockdown implemented to tackle the spread of the COVID-19 pandemic had a positive impact on air quality. Globally, studies have shown that air pollutant levels decreased temporally during the restriction measures. In this study, we evaluated the impact of COVID-19 restrictions on the air quality of Western Macedonia, Greece, using the concentrations of PM2.5 and PM10 along with meteorological data from the Air Quality Monitoring Stations (AQMS) operated by the Lignite Center of Western Macedonia. In Western Macedonia, previous studies have identified a general reduction in air pollutant levels during the last decade due to the coal phase-out plan for power generation. During the lockdown, the levels of PM2.5 and PM10 decreased further. The reduced emissions from the local mining activities and lignite-fired power plant electricity generation, as well as the weather conditions, seem to contribute to improving air quality. Full article
(This article belongs to the Special Issue Recent Advances in Air Quality Management)
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18 pages, 2202 KiB  
Article
Assessing the Effects of Environmental Smog Warning Policy on Preventing Traffic Deaths Based on RDD Strategy
by Juan Gao, Cheng Ying, Liyuan Hu, Zixiang Lin and Hao Xie
Atmosphere 2023, 14(6), 1043; https://doi.org/10.3390/atmos14061043 - 17 Jun 2023
Viewed by 959
Abstract
This paper assessed the impacts of environmental smog early-warning signals on road traffic deaths. For an accurate assessment, we used the daily traffic death data from 2016 to 2020 in 295 Chinese cities and constructed a rigorous Regression Discontinuity Design (RDD) strategy to [...] Read more.
This paper assessed the impacts of environmental smog early-warning signals on road traffic deaths. For an accurate assessment, we used the daily traffic death data from 2016 to 2020 in 295 Chinese cities and constructed a rigorous Regression Discontinuity Design (RDD) strategy to identify the causality and adopted the high-dimensional fixed-effect method to deal with the interference of meteorological factors. The results indicate that light smog and moderate smog early warnings decreased road fatalities by about 3.6% and 4.3%, respectively. Surprisingly, the heavy smog early-warning signal had no significant effect, possibly because of the self-consciousness mechanism instead of the early-warning signal mechanism. Further heterogeneity analysis showed that women drivers, highly-educated drivers, older drivers (over 60 years), two-wheeled vehicle drivers, and drivers on country roads and freeways are more sensitive to smog early-warning signals. Full article
(This article belongs to the Special Issue Recent Advances in Air Quality Management)
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