Long-Term Dust Transport

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

Deadline for manuscript submissions: 25 August 2025 | Viewed by 723

Special Issue Editor

School of Natural Resources, University of Missouri, Columbia, MO 65211, USA
Interests: patiotemporal statistics; applications in remote sensing; environmental science and climatic analytics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Dust is one of the most significant air pollutants due to its ability to transport over long distances and wide ranges, and thus it has crucial impacts on human health and the environment. It also plays a role in influencing Earth's energy balance and global climate patterns. Consequently, detecting, monitoring, and analyzing dust is vital for protecting both human and natural ecosystems.

Recent advancements in remote sensing technologies, big data analytics, and computational resources have enabled researchers to study dust with enhanced spatial, temporal, and spectral resolutions, as well as extended temporal coverage. However, challenges remain in terms of parameter sensitivity, adaptability across various regions, and the long-term reliability of these methods. These issues can challenge the accuracies of dust transport studies, such as those focusing on transatlantic dust movement.

To overcome these challenges, innovative methods are needed to investigate dust transport patterns, leveraging increasing computational power, artificial intelligence techniques, and big data frameworks. This Special Issue aims to highlight the latest advancements in the detection, tracking, and analysis of long-term dust transport, exploring how new technologies, datasets, and algorithms can advance this field. Submissions related to dust applications or reviews summarizing current research are also encouraged.

Potential topics include, but are not limited to:

  • Detection and monitoring of long-term dust transport characteristics and patterns (e.g., transatlantic dust);
  • Simulation and prediction of dust trajectories and events;
  • Interactions between airborne dust, clouds, precipitation, and other pollutants;
  • Applications of artificial intelligence-based approaches for dust tracking, detection, monitoring, and analysis.

Dr. Qian Liu
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

  • atmospheric dust
  • sand and dust storm
  • road dust

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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

Research

29 pages, 6449 KiB  
Article
Long-Term Spatio-Temporal Analysis, Distribution, and Trends of Dust Events over Iran
by Abbas Ranjbar Saadat Abadi, Nasim Hossein Hamzeh, Dimitris G. Kaskaoutis, Christian Opp and Amin Fazl Kazemi
Atmosphere 2025, 16(3), 334; https://doi.org/10.3390/atmos16030334 - 16 Mar 2025
Cited by 1 | Viewed by 482
Abstract
This study provides a comprehensive evaluation of dust events over Iran, using synoptic data from 286 meteorological stations. The dust events are classified according to synoptic dust codes as suspended dust and others (i.e., blowing dust, dust storms) and based on their intensity [...] Read more.
This study provides a comprehensive evaluation of dust events over Iran, using synoptic data from 286 meteorological stations. The dust events are classified according to synoptic dust codes as suspended dust and others (i.e., blowing dust, dust storms) and based on their intensity with horizontal visibility ≤1, 3, 5, and 10 km. Severe events (visibility ≤ 1 km) of suspended dust (code 06) occurred primarily in the western parts of Iran, while blowing dust events of moderate or severe intensity dominated over the south and eastern Iran, thus revealing a contrasting spatial distribution regarding the type and frequency of dust events. Furthermore, a distinct seasonality is revealed in the number of dust events, since suspended dust maximized in SW Iran from March to July, highly associated with Shamal winds, while blowing dust storms over south and east Iran maximized from April to August. Zabol city, east Iran, and some stations along the coast of the Arabian Sea are highly impacted by this type of dust storm throughout the year. Trend analysis revealed a notable increase in frequency of dust events during the period 1994–2023, particularly in the western part of Iran, mostly attributed to transboundary dust from the Mesopotamian plains. The large increase in dust activity during 1994–2009 was followed by a decrease during the 2010s at many stations, while notable differences were observed in the spatial distribution of the trends in suspended and blowing dust. An inverse correlation between dust events and precipitation anomalies was observed, since years with abnormal precipitation (e.g., 2019; 138% increase) were related to a substantial decrease in dust occurrence. Over an 11-year period, surface dust concentrations exceeded the annual PM10 threshold of 50 µg/m3 on more than 800 days, with maximum concentrations reaching up to 1411 µg/m3. This highlights the urgent need for effective management strategies to mitigate the impacts of dust storms on air quality and public health in Iran. Full article
(This article belongs to the Special Issue Long-Term Dust Transport)
Show Figures

Figure 1

Back to TopTop