Air Quality in Europe: Observation and Measurement of Concentration and Composition

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 8896

Special Issue Editor


E-Mail Website
Guest Editor
Air Environment Research, University of Brighton, Brighton BN2 4GJ, UK
Interests: air quality; tropospheric composition; tropospheric change; secondary organic aerosol; ultrafine particles; volatile organic compounds; atmospheric reactivity

Special Issue Information

Dear Colleagues,

Air quality has deteriorated around the world since the onset of industrialization, especially over the last few decades, in line with a steep rise in global population and the prolific use of fossil fuel burning processes. As a result, we are now at a point where air pollution is arguably the single biggest threat we face as a global society today. Indeed, it has been estimated that 91% of the world’s population live in areas where levels of air pollutants exceed safe limits, and that resultant exposure is leading to 8 million deaths each year. Owing to a high population density with numerous large cities and several key areas of industrial activity, Europe is now considered a global air pollution hotspot. It has been estimated that exposure to air pollutants in Europe results in nearly half a million deaths across the region annually and that on average, breathing polluted air reduces the average European citizen’s life expectancy by roughly one year. The financial implications are equally staggering, with studies indicating that costs of air pollution related deaths and diseases are of the order of USD 1.6 trillion, roughly one tenth of the region’s gross domestic product. On the back of a rapidly evolving atmosphere post-COVID-19, it is more crucial than ever that we focus our attention on measuring and characterizing the composition of Europe’s airscape. In such a complex, dynamic region, many questions remain to be answered, for which we need detailed observations that will allow us to determine the concentrations, sources, transportation mechanisms, and chemical transformation pathways of atmospheric components that can affect our air quality and impose an array of long-lasting impacts. In this Special Issue, we bring together work from a range of monitoring studies investigating air pollution in Europe in an effort to investigate issues ranging from chemical composition and evolution or gases and particles, to impacts of pollutants on health and the environment.

Dr. Kevin P. Wyche
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • air pollution
  • air quality
  • Europe
  • monitoring
  • nitrogen dioxide
  • Ozone
  • particulate matter
  • dust
  • secondary aerosol
  • ammonia

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

20 pages, 9493 KiB  
Article
Correlating Traffic Data, Spectral Noise and Air Pollution Measurements: Retrospective Analysis of Simultaneous Measurements near a Highway in The Netherlands
by Luc Dekoninck and Marcel Severijnen
Atmosphere 2022, 13(5), 740; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos13050740 - 05 May 2022
Cited by 1 | Viewed by 1719
Abstract
Road traffic simultaneously emits noise and air pollution. This relation is primarily assessed by comparing A-weighted noise levels (LAeq) and various air pollutants. However, despite the common local traffic source, LAeq and the various sets of air pollution show a [...] Read more.
Road traffic simultaneously emits noise and air pollution. This relation is primarily assessed by comparing A-weighted noise levels (LAeq) and various air pollutants. However, despite the common local traffic source, LAeq and the various sets of air pollution show a lower correlation than expected. Prior work, using simultaneous mobile noise and air pollution measurements, shows that the spectral content of the noise explains the complex and highly nonlinear relation between noise and air pollution significantly better. The spectral content distinguishes between traffic volume and traffic dynamics, two relevant modifiers explaining both the variability in noise and air pollution emissions of the local traffic flow. In May 2011, the environmental agency in the Netherlands performed noise and air pollutant measurements near a major highway and included spectral noise. In the resulting report, the analysis of the traffic, the noise and a wide set of air pollutants only showed a strong correlation between noise and NO. In this work, this dataset is re-evaluated using the noise-related covariates, engine noise and cruising noise, defined in prior work. The modeling approach proves valid for most of the measured air pollutants except for the large PM fractions. Conclusion: the prior established methodology explains the complex interaction between traffic dynamics, noise emission and air pollution emissions for a wide variety of air pollutants. The applicability of the ‘noise-as-a-traffic-proxy’ approach is extended. Full article
Show Figures

Figure 1

18 pages, 6647 KiB  
Article
The Relationship between PM2.5 and PM10 in Central Italy: Application of Machine Learning Model to Segregate Anthropogenic from Natural Sources
by Carlo Colangeli, Sergio Palermi, Sebastiano Bianco, Eleonora Aruffo, Piero Chiacchiaretta and Piero Di Carlo
Atmosphere 2022, 13(3), 484; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos13030484 - 16 Mar 2022
Cited by 4 | Viewed by 2155
Abstract
Particular Matter (PM) data are the most used for the assessment of air quality, but it is also useful to monitor VOC and CO. The health impact of PM increases with decreasing aerodynamic dimensions, therefore most of the monitoring is aimed at PM10 [...] Read more.
Particular Matter (PM) data are the most used for the assessment of air quality, but it is also useful to monitor VOC and CO. The health impact of PM increases with decreasing aerodynamic dimensions, therefore most of the monitoring is aimed at PM10 (fraction of PM with aerodynamic dimensions smaller than 10 µm) and PM2.5 (fraction with aerodynamic dimensions lower than 2.5 µm). Generally, anthropogenic emissions contribute mainly to PM2.5 levels, whereas natural sources can largely affect PM10 concentrations. PM2.5/PM10 ratio can be used as a proxy of the origin (anthropogenic vs natural) of the PM, providing a useful indication about the main sources of PM that characterizes a specific geographical or urban setting. This paper presents the results of the analysis of continuous measurements of PM10 and PM2.5 concentrations at eight stations of the regional air quality monitoring network in Abruzzo (Central Italy), in the period 2017–2018. The application of models based on machine learning technique shows that PM2.5/PM10 ratio can be used to classify PM emissions and to know the nature of the emission source (natural and anthropogenic), under determinate conditions, and properly taking into account the meteorological parameters. Full article
Show Figures

Figure 1

16 pages, 2908 KiB  
Article
Outdoor Atmospheric Microplastics within the Humber Region (United Kingdom): Quantification and Chemical Characterisation of Deposited Particles Present
by Lauren C. Jenner, Laura R. Sadofsky, Evangelos Danopoulos, Emma Chapman, David White, Rebecca L. Jenkins and Jeanette M. Rotchell
Atmosphere 2022, 13(2), 265; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos13020265 - 04 Feb 2022
Cited by 14 | Viewed by 4068
Abstract
Atmospheric microplastics (MPs) have been consistently captured within air samples on a global scale. Locations with high human activity are reported to have high MP levels. An urban sampling site in the Humber region (U.K.) has been sampled over a 13-month period, providing [...] Read more.
Atmospheric microplastics (MPs) have been consistently captured within air samples on a global scale. Locations with high human activity are reported to have high MP levels. An urban sampling site in the Humber region (U.K.) has been sampled over a 13-month period, providing a seasonal variation profile of MP levels, size, shape, and polymer types that humans are exposed to. Mean MP levels, measured using passive fallout into a container, were 3055 ± 5072 MP m−2 day−1 (1164 median). An increase in levels with a decrease in MP size was observed, consisting of mainly film-shaped MPs (67%) that were polyethylene (31%) and nylon (28%) polymer types. No relationship between rainfall and MP fallout levels was observed. In parallel, MPs within five urbanised locations relevant to human exposure were characterised over a 2-week period. An overall MP mean (and standard deviation) of 1500 ± 1279 was observed (1012 median), from which petroleum resin accounted for 32% of MP polymer type, with a higher prevalence within industrial and roadside zones. These comprised mainly fragment (52%) and film (42%) shapes, and the MPs levels increased with decreasing particle size. The results provide novel information on characterising polymer levels and types, and can inform cellular toxicity studies, investigating the consequences of human MP exposure. Full article
Show Figures

Graphical abstract

Back to TopTop