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Applied Sciences
Special Issues
Short- and Long-Term Air Pollution Analysis, Modeling and Prediction
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Special Issue "Short- and Long-Term Air Pollution Analysis, Modeling and Prediction"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: 20 October 2023 | Viewed by 470

Special Issue Editors

Prof. Dr. Hyo Choi

E-Mail Website
Guest Editor
1. Department of Atmospheric & Environmental Sciences, College of Natural Sciences, Gangneung-Wonju National University (GWNU), Jukheongil 7, Gangneung, Gangwondo 25457, Korea
2. Atmospheric & Oceanic Disaster Research Institute, Dalim Apt. 209ho, Namgang-chogyo 2gil 44, Gangneung, Gangwondo 25563, Korea
Interests: numerical modeling of air pollution; air pollutant measurement and assessment; coastal and oceanic atmospheric boundary layer modeling; physical oceanographic modeling (waves and typhoons); statistical modeling (artificial neuron network modeling, multiple regression modeling)
Special Issues, Collections and Topics in MDPI journals
Dr. Milton S. Speer

E-Mail Website
Guest Editor
1. School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney, Australia
2. Climate Change Research Centre, Faculty of Science, The University of New South Wales, Sydney, Australia
Interests: severe weather; climate variability and change; synoptic and mesoscale meteorology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Selahattin Incecik

E-Mail Website
Guest Editor
Department of Meteorological Engineering, Istanbul Technical University, Maslak, 34469 Istanbul, Turkey
Interests: air pollution; air quality; physics of global warming; numerical weather prediction; air pollution modeling; meteorology; climatology

Special Issue Information

Dear Colleagues,

In recent decades, with the industrialization of most countries in the world and the desertification of land through climate change due to the increase in carbon dioxide, severe air pollution has been generated.  Either our human activities in farm fields, industrial zones, and urban areas or natural phenomena have created important issues that are still underlying, both in advanced and in undeveloped countries. By investigating the characteristics of atmospheric pollutants, we attempt to suggest various effective ways of improving the air pollution condition. We would like to invite scientific papers on “Short- and Long-term Air Pollution Analysis, Modeling and Prediction”, related to air pollution mapping and monitoring using satellite and GIS, air pollution assessment and control strategy, the photochemical reaction of air pollutants and their phase changes, indoor air pollution, and the prediction of particulate matter and gas concentrations using artificial neural network modeling, multivariate statistical modeling and numerical modeling, the atmospheric boundary layer effect on severe air pollution, the meteorological effect on a high air pollution state, the emission and transport of atmospheric pollutants, air pollution modeling for its local, regional, and global scales, air pollution impact on human health and its control, etc. Finally, we would like to welcome any manuscripts which may be slightly outside the above topics.

Prof. Dr. Hyo Choi
Dr. Milton S. Speer
Prof. Dr. Selahattin Incecik
Guest Editors

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2300 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 monitoring and analysis of particulate matters and gaseous
  • air pollution mapping and monitoring using satellite and geographical information system (GIS)
  • artificial neural network modeling, multivariate statistical modeling, and numerical modeling on air pollutant concentration and its dispersion
  • air quality variation affected by the atmospheric boundary layer and severe weather
  • renewable energy
  • desertification of land through climate change due to the increase in carbon dioxide
  • emission and transport of air pollutants
  • air pollution impact on human health
  • improvement of air pollution state

Published Papers (1 paper)

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Research

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Article
Air Quality Improvement in Urban Street Canyons: An Assessment of the Effects of Selected Traffic Management Strategies Using OSPM Model
by
Robert Oleniacz
,
Marek Bogacki
,
Mateusz Rzeszutek
and
Paulina Bździuch
Appl. Sci. 2023, 13(11), 6431; https://doi.org/10.3390/app13116431 - 24 May 2023
Viewed by 295
Abstract
Constantly changing vehicle stock, modification of road infrastructure, and other conditions result in a need to update the knowledge on the effectiveness of individual traffic management strategies, which could form the basis for actions taken by local authorities to improve air quality in [...] Read more.
Constantly changing vehicle stock, modification of road infrastructure, and other conditions result in a need to update the knowledge on the effectiveness of individual traffic management strategies, which could form the basis for actions taken by local authorities to improve air quality in crowded city centers, especially in street canyons. The article presents research results that evaluate the theoretical effects of introducing select traffic reorganization scenarios in the example of four street canyons located in Krakow (Poland) that are different in terms of vehicle traffic volume and canyon geometry. These scenarios were based on a reduction in the average traffic speed, road capacity or the admission of cars meeting certain exhaust emission standards. The authors estimated changes in emissions of nitrogen oxides (NO, NO2 and total NOx) and particulate matter (PM10 and PM2.5) as well as investigated the effect of these changes on air quality in the canyons using the Operational Street Pollution Model (OSPM). Significant effects in terms of improving air quality were identified only in scenarios based on a significant reduction in traffic volume and the elimination of passenger cars and light commercial vehicles with internal combustion engines that did not meet the requirements of the Euro 4, Euro 5 or Euro 6 emission standards. For these scenarios, depending on the variant and canyon analyzed, the emission reduction was achieved at a level of approximately 36–66% for NO, 28–77% for NO2, 35–67% for NOx and 44–78% for both PM10 and PM2.5. The expected effect of improving air quality in individual street canyons for these substances was 15–44%, 5–14%, 11–36% and 3–14%, respectively. The differences obtained in the percentage reduction of emissions and pollutant concentrations in the air were the result of a relatively high background of pollutants that suppress the achieved effect of improving air quality to a large extent. Full article
(This article belongs to the Special Issue Short- and Long-Term Air Pollution Analysis, Modeling and Prediction)
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