Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.6
2.5
Journals
Atmosphere
Special Issues
Dust Aerosols in Urban Atmospheres: Emissions, Air Quality Impact and...
share announcement

Dust Aerosols in Urban Atmospheres: Emissions, Air Quality Impact and Source Apportionment

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

Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 8339

Special Issue Editor

Dr. Jorge Pey

E-Mail Website
Guest Editor
ARAID Researcher, Pyrenean Institute of Ecology-CSIC, 50059 Zaragoza, Spain
Interests: desert dust; aerosol deposition; paleoatmospheres; source apportionment; characterization of emission sources; interaction of aerosols with climate, ecosystems and human health

Special Issue Information

Dear Colleagues,

Urban aerosols are a mixture of anthropogenic and natural contributions from different sources. Atmospheric particles can be either primary (such as mineral dust, sea salts, or soot) or secondary (including sulfates, nitrates, or secondary organic aerosols, among others) in origin. Over certain regions, the arrival and/or the regular presence of dust aerosols from desert regions are incorporated in the urban atmospheric cocktail, increasing PM concentrations, activating atmospheric processing of gas-species, or exacerbating aerosol health-related effects. In these and other cases, local to regional contributions of dust aerosols can be very relevant, and are typically related to road dust inputs, industrial emissions or agricultural activities. The characterization of dust emissions, the assessment of their impact on air quality or their quantification at different spatial and temporal scales are important considerations when developing efficient abatement strategies, or when evaluating their potential impact on human health.

This Special Issue welcomes scientific contributions in the following areas: physical and chemical characterization of emission sources of dust; PM mass and particle number impact of dust aerosols; dust deposition; modeling studies; source apportionment studies; or any review study on these topics.

Dr. Jorge Pey
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

  • urban aerosols
  • desert dust
  • road dust
  • industrial dust
  • agricultural dust
  • source apportionment
  • dust deposition
  • modeling.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

14 pages, 2328 KiB  
Article
The Impact of Intense Winter Saharan Dust Events on PM and Optical Properties at Urban Sites in the Southeast of the Iberian Peninsula
by Alba López-Caravaca, Ramón Castañer, Alvaro Clemente, Eduardo Yubero, Nuria Galindo, Javier Crespo and Jose Francisco Nicolás
Atmosphere 2021, 12(11), 1469; https://doi.org/10.3390/atmos12111469 - 6 Nov 2021
Cited by 5 | Viewed by 1909
Abstract
The influence of three Saharan dust events (SDE) on particulate matter (PM) concentrations and aerosol optical properties (AOP) during February 2021 was studied. The physical characteristics of the African aerosol were different for each episode. Therefore, the impacts of the three events on [...] Read more.
The influence of three Saharan dust events (SDE) on particulate matter (PM) concentrations and aerosol optical properties (AOP) during February 2021 was studied. The physical characteristics of the African aerosol were different for each episode. Therefore, the impacts of the three events on PM and AOP were analyzed separately. The monitoring sites were placed in Elche, in the southeast of the Iberian Peninsula. The sites can be classified as urban background locations. The procedure used to obtain the contribution of SDE to PM10 mass concentrations was the 40th percentile method. Nearly half of the days during the study period were under the influence of Saharan air masses. The average contribution of mineral dust (MD) to the PM10 mean concentration was ~50%, which was the highest contribution during the month of February in the last 14 years. The results show that those events characterized by a high input of fine particles (PM1 and PM2.5) caused larger increases in the absorption (σap) and scattering (σsp) coefficients than SDE in which coarse particles predominated. Nevertheless, as expected, SAE (Scattering Angström Exponent) values were lowest during these episodes. AAE (Absorption Angström Exponent) values during SDE were slightly higher than those observed in the absence of African dust, suggesting some contribution from MD to the absorption process. Full article
(This article belongs to the Special Issue Dust Aerosols in Urban Atmospheres: Emissions, Air Quality Impact and Source Apportionment)
►▼ Show Figures

Figure 1

Review

Jump to: Research

19 pages, 2236 KiB  
Review
Statistical Approaches for Forecasting Primary Air Pollutants: A Review
by Kuo Liao, Xiaohui Huang, Haofei Dang, Yin Ren, Shudi Zuo and Chensong Duan
Atmosphere 2021, 12(6), 686; https://doi.org/10.3390/atmos12060686 - 27 May 2021
Cited by 39 | Viewed by 5547
Abstract
Air pollutant forecasting can be used to quantitatively estimate pollutant reduction trends. Combining bibliometrics with the evolutionary tree and Markov chain methods can achieve a superior quantitative analysis of research hotspots and trends. In this work, we adopted a bibliometric method to review [...] Read more.
Air pollutant forecasting can be used to quantitatively estimate pollutant reduction trends. Combining bibliometrics with the evolutionary tree and Markov chain methods can achieve a superior quantitative analysis of research hotspots and trends. In this work, we adopted a bibliometric method to review the research status of statistical prediction methods for air pollution, used evolutionary trees to analyze the development trend of such research, and applied the Markov chain to predict future research trends for major air pollutants. The results indicate that papers mainly focused on the effects of air pollution on human diseases, urban pollution exposure models, and land use regression (LUR) methods. Particulate matter (PM), nitrogen oxides (NOx), and ozone (O3) were the most investigated pollutants. Artificial neural network (ANN) methods were preferred in studies of PM and O3, while LUR were more widely used in studies of NOx. Additionally, multi-method hybrid techniques gradually became the most widely used approach between 2010 and 2018. In the future, the statistical prediction of air pollution is expected to be based on a mixed method to simultaneously predict multiple pollutants, and the interaction between pollutants will be the most challenging aspect of research on air pollution prediction. The research results summarized in this paper provide technical support for the accurate prediction of atmospheric pollution and the emergency management of regional air quality. Full article
(This article belongs to the Special Issue Dust Aerosols in Urban Atmospheres: Emissions, Air Quality Impact and Source Apportionment)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop