Air Pollution in Urban and Regional Level: Sources, Sinks and Transportation (3rd Edition)

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

Deadline for manuscript submissions: 16 April 2025 | Viewed by 1346

Special Issue Editors


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Guest Editor
National institute of meteorology and hydrology, Department" Meteorology", 66, Tsarigradsko Shose Blvd, 1784 Sofia, Bulgaria
Interests: air pollution; air particulate matter; airborne black carbon; source apportionment; precipitation chemistry
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Guest Editor

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Guest Editor
Institute for Nuclear Reseast (ATOMKI), 4026 Debrecen, Hungary
Interests: atmospheric pollution; airborne particulate matter; elemental analysis; source apportionment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a sequel to the first Special Issue entitled “Air Pollution in Urban and Regional Level: Sources, Sinks and Transportation (2nd Edition)” (https://www.mdpi.com/journal/atmosphere/special_issues/0Q62Z8ZMZQ), published in Atmosphere in 2023.

More than half of the world’s population (55%) lives in urban areas, where they are subjected to high particulate matter (PM)-related pollution. PM can originate from a vast number of different sources, but is mainly attributed to industrial emissions, local traffic, biomass burning, and natural sources like soil dust and sea salt. Therefore, research aimed at better understanding the sources of PM and the processes they undergo in the atmosphere continues to be very relevant.

The goal of this Special Issue is to bring together the latest scientific knowledge aimed at assessing air pollution at urban and regional levels, including experimental and numerical model studies. The Special Issue will focus on identifying sources of particulate air pollution, their trends, and inter-urban and regional transport. In addition, the Special Issue will cover all major aspects of urban aerosol observations, including the chemical characterization of particulate matter and its impact on human health. 

Dr. Elena Hristova
Dr. Manousos Ioannis Manousakas
Dr. Anikó Angyal
Guest Editors

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Keywords

  • air pollutants
  • particulate matter (PM)
  • particulate matter chemical characterization
  • long-range transport
  • wet and dry deposition
  • source apportionment
  • air pollution modelling
  • air quality impact on health

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Published Papers (2 papers)

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Research

29 pages, 6251 KiB  
Article
Spatial and Temporal Patterns of Trace Element Deposition in Urban Thessaloniki: A Syntrichia Moss Biomonitoring Study
by Themistoklis Sfetsas, Sopio Ghoghoberidze, Panagiotis Karnoutsos, Vassilis Tziakas, Marios Karagiovanidis and Dimitrios Katsantonis
Atmosphere 2024, 15(11), 1378; https://doi.org/10.3390/atmos15111378 - 15 Nov 2024
Viewed by 268
Abstract
Urban air pollution, especially from heavy metal (HM) contamination, poses significant risks to human health and environmental sustainability. This study investigates the spatial and temporal distribution of HM contamination in Thessaloniki, Greece, using Syntrichia moss as a bioindicator to inform urban environmental management [...] Read more.
Urban air pollution, especially from heavy metal (HM) contamination, poses significant risks to human health and environmental sustainability. This study investigates the spatial and temporal distribution of HM contamination in Thessaloniki, Greece, using Syntrichia moss as a bioindicator to inform urban environmental management strategies. Moss samples were collected from 16 locations representing diverse urban activity zones (motorway, industrial, city center, airport) in March, May, and July 2024. The concentrations of 12 HMs (Al, Sb, As, Ba, Cd, Cr, Co, Cu, Pb, Ni, V, and Zn) were analyzed using ICP-MS, and the contamination factors were calculated relative to controlled moss samples. The results revealed significant spatial variation, with elevated levels of As, Cd, Cr, Pb, and Zn, particularly in high-traffic and industrial zones, exceeding the background levels by up to severe and extreme contamination categories. Temporal trends showed decreases in Al, Ba, and Ni from March to July 2024, while Cr and Cu increased, suggesting seasonally varying sources. Multivariate analyses further distinguished the contamination patterns, implicating traffic and industrial activities as key contributors. Syntrichia effectively captures HM contamination variability, demonstrating its value as a cost-effective bioindicator. These findings provide critical data that can guide urban planners in developing targeted pollution mitigation strategies, ensuring compliance with the European Green Deal’s Zero Pollution Action Plan. Full article
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36 pages, 24080 KiB  
Article
Evaluation of Emission Factors for Particulate Matter and NO2 from Road Transport in Sofia, Bulgaria
by Margret Velizarova, Reneta Dimitrova, Petar O. Hristov, Angel Burov, Danail Brezov, Elena Hristova and Orlin Gueorguiev
Atmosphere 2024, 15(7), 773; https://doi.org/10.3390/atmos15070773 - 28 Jun 2024
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Abstract
Traffic-related air pollution has a significant impact on the concentration of particulate matter (PM) and nitrogen oxides (NOx) in urban areas, but there are many uncertainties associated with the modeling of PM concentration due to non-exhaust emissions. Bulgarian weather, road surfaces [...] Read more.
Traffic-related air pollution has a significant impact on the concentration of particulate matter (PM) and nitrogen oxides (NOx) in urban areas, but there are many uncertainties associated with the modeling of PM concentration due to non-exhaust emissions. Bulgarian weather, road surfaces and traffic conditions differ significantly from the UK’s and other EU countries’ averages, which underpin many assumptions in established models. The hypothesis is that the emission factors differ from those used to calculate traffic emissions using the EMIT model. The objective of this work is to adjust the emissions for PM and the relationship between the fractions of NOx and PM using the hourly mean concentrations from road transport and urban background automatic air quality stations in Sofia, Bulgaria. Various already-published and newly developed methods are applied to local observations to derive functions and relations that better represent Bulgarian road and traffic conditions. The ADMS-Urban model is validated and evaluated by comparing pollutant concentrations from simulations using original and adjusted emissions, showing an improvement in results after applying functions and relationships derived from local observations. This work is part of our efforts to improve air quality modeling in urban areas in Bulgaria. Full article
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