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Atmosphere
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Techniques for Ultrafine Aerosols Sampling and Measurement: Experiment and Modelling
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Techniques for Ultrafine Aerosols Sampling and Measurement: Experiment and Modelling

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

Deadline for manuscript submissions: closed (24 February 2023) | Viewed by 11127

Special Issue Editor

Prof. Dr. Cheng-Hsiung Huang

E-Mail Website
Guest Editor
Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300102, Taiwan
Interests: ultrafine aerosol sampling; particle dynamics in fluid; aerosols instrumentation; nanoparticle technology; air pollution; air quality monitoring

Special Issue Information

Dear Colleagues,

The sampling and measurement of airborne nanoparticles is of great significance for the evaluation of particle characteristics in ambient air or workplaces. Based on propagation, proper particle sampling and measurement is important to help to identify ultrafine aerosol sources. Therefore, the characterization of ultrafine aerosols needs to be explored for robust assessment, quantification, and attribution of nanoparticles produced by various activities.

The purpose of this Special Issue is to present the latest experimental and modeling results in the sampling and measurement of ultrafine aerosols. Submissions are encouraged to address discrepancies and impact assessments due to ultrafine aerosol sampling and measurement techniques, as well as correlations between source attribution and quantification. These include the use of continuous or manual instruments to measure ultrafine aerosol concentration and particle size distribution, and even compositional analysis. It may also involve modeling calculations for ultrafine particle transport or deposition in components of various metrology instruments, as well as discussions of recent advances in the development of ultrafine aerosol sampling and measurement methods.

Prof. Dr. Cheng-Hsiung Huang
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

  • ultrafine aerosols
  • sampling and measurement
  • airborne nanoparticles
  • ultrafine aerosol concentration
  • particle size distribution
  • aerosol continuous instruments
  • ultrafine particle transport
  • ultrafine aerosol deposition

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Published Papers (4 papers)

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Research

17 pages, 2912 KiB  
Article
Genesis of New Particle Formation Events in a Semi-Urban Location in Eastern Himalayan Foothills
by Barlin Das, Binita Pathak, Lakhima Chutia, Tamanna Subba and Pradip Kumar Bhuyan
Atmosphere 2023, 14(5), 795; https://doi.org/10.3390/atmos14050795 - 27 Apr 2023
Cited by 1 | Viewed by 1604
Abstract
New particle formation (NPF) events identified using scanning mobility particle sizer (SMPS) measurements, their subsequent growth and other characteristics over Dibrugarh, a semi-urban location in the eastern Himalayan foothills (EHF), during November–December 2016 are presented. The mean total number concentration of ultrafine aerosols [...] Read more.
New particle formation (NPF) events identified using scanning mobility particle sizer (SMPS) measurements, their subsequent growth and other characteristics over Dibrugarh, a semi-urban location in the eastern Himalayan foothills (EHF), during November–December 2016 are presented. The mean total number concentration of ultrafine aerosols was found to be high during morning and evening rush hours. The NPF occurrence frequency was found to be 14%. The temporal evolution of the hourly average aerosol number size distribution revealed that the nucleation burst occurred at a lower size spectrum, supporting the existence of NPF burst events. It continued to grow through coagulation loss and condensation sink with an average growth rate of 17.16 ± 12.29 nm/hr. The satellite-based observations showed a high concentration of the NPF precursors NO2, SO2, and HCHO during the NPF days. The backward air mass trajectories confirmed that the sources of emissions were confined within an area of radius ~100 km surrounding the observation site. These locally generated precursors and their associated photochemistry could be a probable reason for NPF occurrence at the study site. Full article
(This article belongs to the Special Issue Techniques for Ultrafine Aerosols Sampling and Measurement: Experiment and Modelling)
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15 pages, 4567 KiB  
Article
Spatiotemporal Variations in PM2.5 Concentration in Different Areas of Bus Cabin: A Case Study in Shenzhen, China
by Jiacheng Huang, Zhengdong Huang and Ying Zhang
Atmosphere 2023, 14(2), 326; https://doi.org/10.3390/atmos14020326 - 6 Feb 2023
Viewed by 1862
Abstract
Inhalable particulate pollution has adverse effects on human health. Many studies have been conducted to investigate levels and risks of exposure to particulate pollution in public transit, but scant attention has been paid to variations in the pollution levels among different positions inside [...] Read more.
Inhalable particulate pollution has adverse effects on human health. Many studies have been conducted to investigate levels and risks of exposure to particulate pollution in public transit, but scant attention has been paid to variations in the pollution levels among different positions inside the cabin. Differences can be observed among different positions inside transit vehicles, like passenger density and activities, which may lead to differentiated exposure risks between different positions. Therefore, this study investigates the level of PM2.5 concentrations and the spatiotemporal variations among three different positions (front, middle, and rear) inside the cabin during bus travel. The three positions represent the three areas inside the bus cabin, i.e., front area (FA), middle area (MA), and rear area (RA). We developed a portable monitoring system for in-cabin measurements, which consists of a mobile device with the designated app, a PM2.5 collecting device, and a temperature-relative humidity monitor. Surveys were carried out on buses of a route in Shenzhen, China, which include inbound and outbound trips during both morning and evening peaks of two working days. Based on spatial and temporal information embedded in data collection devices, PM2.5 concentration data were spatially and temporally referenced. Comparative and descriptive statistical analyses were employed to examine the differences and variations in PM2.5 concentration among the areas inside the bus cabin. There are three major findings. First, for all of the surveyed trips, FA showed the highest and RA showed the lowest PM2.5 concentration. Second, concerning the average pollution level of route segments along the routes, the PM2.5 concentrations in the three cabin areas were higher during inbound trips than during outbound trips. Third, within route segments, PM2.5 concentrations in FA and MA increased rapidly after the bus stopped at stops, and then gradually decreased, while in RA they were relatively stable. In general, a higher level of passenger density increased in-cabin PM2.5 concentration. The findings of our study could provide insight into improving the bus in-cabin microenvironment, such as the seating arrangement for vulnerable passengers. Full article
(This article belongs to the Special Issue Techniques for Ultrafine Aerosols Sampling and Measurement: Experiment and Modelling)
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22 pages, 8298 KiB  
Article
Using Low-Cost Sensors for Measuring and Monitoring Particulate Matter with a Focus on Fine and Ultrafine Particles
by Simona Kirešová, Milan Guzan and Branislav Sobota
Atmosphere 2023, 14(2), 324; https://doi.org/10.3390/atmos14020324 - 6 Feb 2023
Cited by 20 | Viewed by 4703
Abstract
The paper deals with the measurement of individual size components of particulate matter focusing on typical particle size, mass, and number concentrations primarily in the city of Košice (Slovak republic) and the surrounding countryside. The deployment of the sensor IPS-7100 in the 2nd [...] Read more.
The paper deals with the measurement of individual size components of particulate matter focusing on typical particle size, mass, and number concentrations primarily in the city of Košice (Slovak republic) and the surrounding countryside. The deployment of the sensor IPS-7100 in the 2nd half of December 2022 allowed us to measure the particles smaller than the detection limit of other low-cost optical sensors—namely SPS30 and SEN54. The results show that although the mass concentration of ultrafine particles is negligible in comparison to fine and coarse particles, in terms of number concentration ultrafine particles make up the dominant component of particulate matter, which stands as a warning from the health point of view. Full article
(This article belongs to the Special Issue Techniques for Ultrafine Aerosols Sampling and Measurement: Experiment and Modelling)
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15 pages, 5012 KiB  
Article
Emission Characteristics of Particulate Matter from Boiling Food
by Yujiao Zhao, Mengyao Wang, Pengfei Tao, Guozhi Qiu and Xueying Lu
Atmosphere 2023, 14(1), 167; https://doi.org/10.3390/atmos14010167 - 12 Jan 2023
Cited by 2 | Viewed by 2290
Abstract
Cooking food in water or soup, such as hot pot, is a widely used cooking method in China. This type of cooking requires no oil and cooks at a lower temperature, but that does not mean it produces fewer pollutants or is less [...] Read more.
Cooking food in water or soup, such as hot pot, is a widely used cooking method in China. This type of cooking requires no oil and cooks at a lower temperature, but that does not mean it produces fewer pollutants or is less harmful. There are few research studies on the emission characteristics and mechanisms of particulate matter emissions when eating hot pot (the boiling process), which leads to the unreasonable design of ventilation systems for this kind of catering. In this paper, the effects of boiling different ingredients (including noodles, potatoes, fish, tofu, meatballs, and pork) on particle number concentration emissions were studied. The particle number concentration and particle size distribution of PM with diameters of 0.3 μm and less, 0.3–0.5 μm and 0.5–1.0 μm (PM0.3, PM0.3–0.5 and PM0.5–1.0, respectively) were measured in an experimental chamber. The food type and shape showed very little change in the PM emission characteristics of boiling. When the boiling state was reached, the number concentration, particle size distribution, and arithmetic mean diameter of particles all fluctuated within 60 s. The emission characteristics of particles produced by boiling water and heating oil were compared. Heating oil produced more small particles, and boiling water released more large particles. Transient and steady methods were used to calculate the emission rate of particles, and the steady-state calculation has a high estimation of the emission rate. Full article
(This article belongs to the Special Issue Techniques for Ultrafine Aerosols Sampling and Measurement: Experiment and Modelling)
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