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4.1
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Journals
Atmosphere
Special Issues
Characteristics and Control of Particulate Matter
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Characteristics and Control of Particulate Matter

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 2437

Special Issue Editors

Dr. Jianlong Li

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Guest Editor
School of Resources and Environment, Nanchang University, Nanchang 330031, China
Interests: particulate matter; filtration; dust control; filter regeneration; gas-particle flow
Special Issues, Collections and Topics in MDPI journals
Dr. Jianwu Chen

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Guest Editor
Institute of Occupational Health, China Academy of Safety Science and Technology, Beijing 100012, China
Interests: particulate matter; occupational health; indoor air purification; respiratory protection; health risk assessment
Prof. Dr. Hong Huang

E-Mail Website
Guest Editor
School of Resources and Environment, Nanchang University, Nanchang 330031, China
Interests: atmosphere aerosol characterization; carbon aerosol emission characteristics; toxicological effect of particulate matter; aging mechanism of aerosol; optical property of aerosol
Dr. Cuiping Yan

E-Mail Website
Guest Editor
Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China
Interests: particulate matter control; dust filtration; dust collector optimization; filter regeneration; particulate matter characterization

Special Issue Information

Dear Colleagues,

PM is harmful to human health and the environment. PM can arise from natural sources or anthropogenic sources. It comes in many sizes and shapes and has a huge surface area. PM can enrich hundreds of chemical toxicants. For this Special Issue, we aim to compile high-quality research and provide the community with a valuable resource on the study of the characteristics and control of particulate matter.

This Special Issue welcomes contributions focused on particulate-matter physicochemical properties, specific measurement techniques, recent developments and applications of novel control or purification design, control-system optimization and purification-mechanism understanding. Alternatively, authors can contribute manuscripts that focus on particulate-matter monitoring, migration and simulation. Finally, topics relating to particle pollution, individual respiratory protection and health impacts are also welcome in this Special Issue. If any doubts about the suitability of the research for this Special Issue arise, potential authors are invited to discuss the topic with the Guest Editor before preparing the paper.

Dr. Jianlong Li
Dr. Jianwu Chen
Prof. Dr. Hong Huang
Dr. Cuiping Yan
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. 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

  • particulate-matter properties
  • particle pollution
  • health impacts
  • control approach
  • filtration and purification
  • individual respiratory protection
  • particulate-matter monitoring
  • particle migration and simulation

Published Papers (2 papers)

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Research

17 pages, 3935 KiB  
Article
Study on Dynamic Characteristics of Magnetic Coagulation of Fe-Based Fine Particles in Iron and Steel Industry
by Dengke Xu, Zuxiang Hu, Li’an Zhang and Wenqing Zhang
Atmosphere 2023, 14(9), 1434; https://doi.org/10.3390/atmos14091434 - 14 Sep 2023
Viewed by 752
Abstract
Fine dust, represented by Fe-based fine particles and emitted from the production process of the iron and steel industry, is the primary factor causing many diseases represented by industrial pneumoconiosis, and ultra-low dust emission has always been a thorny problem to be solved [...] Read more.
Fine dust, represented by Fe-based fine particles and emitted from the production process of the iron and steel industry, is the primary factor causing many diseases represented by industrial pneumoconiosis, and ultra-low dust emission has always been a thorny problem to be solved urgently. To explore the magnetic coagulation effect of Fe-based fine particles in the magnetic field when removing them from industrial flue gas by the magnetic field effect in the iron and steel industry, using FLUENT software, magnetic dipole force was added between particles through user defined function (UDF) based on the computational fluid dynamics-discrete phase model (CFD-DPM) method so that the collision process of particles was then equivalent to their mutual trapping process. Next, the effects of particle size, particle volume fraction, external magnetic field strength, and particle magnetic susceptibility on the magnetic coagulation process were comprehensively studied. Meanwhile, the proton balance equation (PBE) was solved using the partition method on the basis of the computational fluid dynamics-population balance model (CFD-PBM) to compare the coagulation removal effect under random and aligned orientations of magnetic dipoles, respectively. The results showed that the magnetic coagulation strength under the random orientation of magnetic dipoles was greater than that under the aligned orientation. When the particle size of Fe-based fine particles increased from 0.5 μm to 1.5 μm, the magnetic coagulation coefficient decreased from 0.5414 to 0.2882, and the difference in the removal efficiency under the two different orientations of magnetic dipoles became smaller. When the particle volume fraction increased from 0.01 to 0.03, the magnetic coagulation coefficient increased from 0.2353 to 0.5061, and the difference in the removal efficiency under two orientations was enlarged. When the applied external magnetic field strength increased from 0.5 T to 1.0 T, the magnetic coagulation coefficient increased from 0.3940 to 0.5288, and the magnetic susceptibility increased from 0.0250 to 0.0500, the coagulation coefficient increased from 0.3940 to 0.5288, and the difference under two orientations basically stayed unchanged. Full article
(This article belongs to the Special Issue Characteristics and Control of Particulate Matter)
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19 pages, 4763 KiB  
Article
Seasonal Distribution and Source Apportionment of Chemical Compositions in PM2.5 in Nanchang, Inland Area of East China
by Hong Huang, Xin Yin, Yuan Tang, Changwei Zou, Jianlong Li, Chenglong Yu and Fangxu Zhu
Atmosphere 2023, 14(7), 1172; https://doi.org/10.3390/atmos14071172 - 20 Jul 2023
Cited by 2 | Viewed by 1217
Abstract
PM2.5 was sampled in four seasons of 2021 in Nanchang. Organic carbon (OC), elemental carbon (EC), and water-soluble ions were the main chemical compositions in PM2.5. The annual average of OC/PM2.5 and EC/PM2.5 was 17.1% and 2.1%, respectively, [...] Read more.
PM2.5 was sampled in four seasons of 2021 in Nanchang. Organic carbon (OC), elemental carbon (EC), and water-soluble ions were the main chemical compositions in PM2.5. The annual average of OC/PM2.5 and EC/PM2.5 was 17.1% and 2.1%, respectively, while nine water-soluble ions were 56.7%. The order of each ion percentage in PM2.5 was NO3− > SO42− > K+ > Na+ > NH4+ > Cl− > NO2− > Ca2+ > Mg2+. The OC/EC (6.54, 13.17, 8.95, 7.99) and Char-EC/Soot-EC (0.88, 0.64, 1.32, 3.74) indicated that the carbon aerosols mainly originated from coal combustion, biomass combustion, and motor-vehicle emissions. High concentrations of Cl− and Ca2+ in spring were associated with dust sources. A good correlation between Na+, SO42−, and NO3− suggests the formation of Na2SO4 and NaNO3. The results of PM2.5 source apportionment by positive matrix factorisation (PMF) showed five main sources: motor-vehicle sources (18–33%), secondary sources (16–36%), coal combustion sources (16–30%), biomass-combustion sources (10–28%), and dust sources (5–7%). Backward trajectory clustering analysis showed PM2.5 in spring and autumn were more influenced by medium distance and local air but mainly influenced by local sources in winter. Full article
(This article belongs to the Special Issue Characteristics and Control of Particulate Matter)
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