Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.1
2.9
Journals
Atmosphere
Special Issues
Atmospheric Particle Pollution and Interactions with Meteorological Factors
share announcement

Atmospheric Particle Pollution and Interactions with Meteorological Factors

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

Deadline for manuscript submissions: closed (1 December 2023) | Viewed by 5314

Special Issue Editor

Dr. Min Shao

E-Mail Website
Guest Editor
School of Environment, Nanjing Normal University, Nanjing 210098, China
Interests: atmospheric remote sensing; atmospheric modeling; data assimilation; air quality

Special Issue Information

Dear Colleagues,

Air pollution episodes are usually the result of heavy anthropogenic emissions and unfavorable meteorological conditions. Given the fact that anthropogenic emissions have decreased substantially globally, unfavorable meteorological conditions have become a key factor, or even a direct trigger, for the emergence of air pollution episodes.

Atmospheric particle pollution is a result of the accumulation and generation of particles in the planetray boundary layer. Impact factors are not limited to anthropogenic emissions, but also include temperature, relative humidity, wind in both horizontal and vertical extents and their diurnal variations, the development of the planetary boundary layer, climate change, and some extreme meteorological events. Besides, atmospheric particles such as black carbon can also have non-negligible feedback on meteorological conditions, such as the vertical structure of the temperautre in the planetray boundary layer.

Therefore, an indepth understanding of the interactions between atmospheric particles and meteorological factors is needed to develop better atmospheric pollution control measures. Studies that illuminate the physical and chemical mechanisms of the formation of atmospheric particle pollution and feedback effects are especially welcome. Long-time statistical and modeling analyses of the interactions between atmospheric particles and climate change are also welcome

Dr. Min Shao
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 particle
  • meteorological factors
  • mechanism
  • climate change

Published Papers (4 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

18 pages, 1731 KiB  
Article
New Observations of the Meteorological Conditions Associated with Particulate Matter Air Pollution Episodes in Santiago, Chile
by Ricardo C. Muñoz, René Garreaud, José A. Rutllant, Rodrigo Seguel and Marcelo Corral
Atmosphere 2023, 14(9), 1454; https://doi.org/10.3390/atmos14091454 - 19 Sep 2023
Cited by 1 | Viewed by 994
Abstract
The meteorological factors of the severe wintertime particulate matter (PM) air pollution problem of the city of Santiago, Chile, are investigated with newly available observations, including a 30 m tower measuring near-surface stability, winds and turbulence, as well as lower-tropospheric vertical profiles of [...] Read more.
The meteorological factors of the severe wintertime particulate matter (PM) air pollution problem of the city of Santiago, Chile, are investigated with newly available observations, including a 30 m tower measuring near-surface stability, winds and turbulence, as well as lower-tropospheric vertical profiles of temperature and winds measured by commercial airplanes operating from the Santiago airport (AMDAR database). Focusing on the cold season of the years 2017–2019, high-PM days are defined using an index of evening concentrations measured in the western part of the city. The diurnal cycles of the different meteorological variables computed over 25 PM episodes are compared against the overall diurnal cycles. PM episodes are associated with enhanced surface stability and weaker surface winds and turbulence during the evening and night. AMDAR vertical profiles of temperature and winds during episodes reveal a substantial lower-tropospheric warming attributed to enhanced regional subsidence, which is consistent with the shallower daytime boundary layer depth and the increased surface thermal amplitude observed during these days. An explanation for the weak surface winds during PM episodes was not evident, considering that these are clear days that would strengthen the local valley wind system. Two possible mechanisms are put forward to resolve this issue, which can be tested in the future using high-resolution numerical modeling validated with the new data described here. Full article
(This article belongs to the Special Issue Atmospheric Particle Pollution and Interactions with Meteorological Factors)
►▼ Show Figures

Figure 1

20 pages, 4470 KiB  
Article
The Commuting Patterns and Health Effects among Urban Residents in Low-Visibility Air Pollution Environments: An Empirical Study of Gaoyou City, China
by Yang Cao, Hao Xu, Hao Wu, Xi Lu and Shuwen Shen
Atmosphere 2023, 14(7), 1140; https://doi.org/10.3390/atmos14071140 - 12 Jul 2023
Viewed by 1216
Abstract
Low-visibility air pollution frequently occurs in the major cities of China and affects residents’ physical and mental health. This study, using Gaoyou City as a case study, selected 10 typical residential communities with different locations and types and conducted a questionnaire survey for [...] Read more.
Low-visibility air pollution frequently occurs in the major cities of China and affects residents’ physical and mental health. This study, using Gaoyou City as a case study, selected 10 typical residential communities with different locations and types and conducted a questionnaire survey for two consecutive weeks to measure commuting behavior characteristics and health effects among residents in environments with different degrees of air pollution from November to December 2022. Concerning commuting distance, the average straight distance for short-distance commuting was 1.4 km, and the median commuting distance was 13.2 km. In air-polluted environments, residents’ commuting times were mainly concentrated within 1.5 h, with a majority taking 20 min to 30 min. The working and living spaces presented a circular core distribution pattern, with low-visibility air pollution significantly affecting the choice of commuting mode and having an indirect impact on health. The proportion of people who chose bus commuting significantly increased as air pollution changed from mild to moderate, whereas the proportion of people choosing slower commuting, such as walking, significantly decreased. While no significant fluctuations in physical health levels occurred, psychological health levels significantly decreased. In high air pollution environments, residents’ sleep quality, attitudes towards life, emotional states, and other assessed factors exhibited an inverted U-shaped correlation with commuting patterns. Low-visibility air pollution indirectly damaged the health of residents by affecting their commuting patterns, reducing their physical activity intensity and commuting options, and increasing their psychological stress and anxiety. Full article
(This article belongs to the Special Issue Atmospheric Particle Pollution and Interactions with Meteorological Factors)
►▼ Show Figures

Figure 1

14 pages, 11863 KiB  
Article
Analysis of the Severe Dust Process and Its Impact on Air Quality in Northern China
by Xiaoyu Liu, Yu Zhang, Hailan Yao, Qinlai Lian and Jianjun Xu
Atmosphere 2023, 14(7), 1071; https://doi.org/10.3390/atmos14071071 - 25 Jun 2023
Cited by 1 | Viewed by 1195
Abstract
Extreme meteorological events can influence air quality. In March 2021, northern China experienced a severe dust event, leading to widespread air quality deterioration. Using reanalysis datasets and station data, we investigate the synoptic weather patterns, dust transport characteristics, and associated impacts on air [...] Read more.
Extreme meteorological events can influence air quality. In March 2021, northern China experienced a severe dust event, leading to widespread air quality deterioration. Using reanalysis datasets and station data, we investigate the synoptic weather patterns, dust transport characteristics, and associated impacts on air quality during this event. The results are as follows. (1) The dust event is closely linked to the Mongolian cyclone, providing favorable conditions for dust emission and long-distance transport. (2) The Gobi Desert in Mongolia is the primary source, with dust particles transported from Mongolia to northern China via the northwesterly flow. Dust transport exhibits a complex three-dimensional structure, with the most intense dust transport at approximately 2500 m altitude. (3) The impact of this dust event on air quality was characterized by its remarkable intensity, extensive spatial coverage, and prolonged duration. Additionally, 58.8% of the stations in northern China experienced pollution, 36.3% of them reached severe pollution levels or higher, and 35.9% of the sites experienced more than 12 h of pollution. (4) The visibility at the northern stations near the dust source rapidly decreases due to solid dust particles. In contrast, the southern stations, with higher moisture content, are primarily affected by liquid particles in terms of visibility. After the frontal passage, wet deposition from the precipitation process gradually improves visibility. Full article
(This article belongs to the Special Issue Atmospheric Particle Pollution and Interactions with Meteorological Factors)
►▼ Show Figures

Figure 1

14 pages, 6620 KiB  
Article
Impacts of Complex Terrain Features on Local Wind Field and PM2.5 Concentration
by Yuqiang Song and Min Shao
Atmosphere 2023, 14(5), 761; https://doi.org/10.3390/atmos14050761 - 22 Apr 2023
Cited by 3 | Viewed by 1297
Abstract
Complex topography has nonnegligible effects on local meteorological conditions as well as the transportation of atmospheric pollutants, which deserves more extensive study. In this study, the impacts of complex terrain features (mountains and river valleys) on local wind field and PM2.5 concentration [...] Read more.
Complex topography has nonnegligible effects on local meteorological conditions as well as the transportation of atmospheric pollutants, which deserves more extensive study. In this study, the impacts of complex terrain features (mountains and river valleys) on local wind field and PM2.5 concentration in a typically developed mega city along the Yangtze River were studied numerically using the WRFCALMET-CALPUFF system. The impacts of different model grid and terrain horizontal resolutions were firstly investigated against observations. Then, the impacts of terrain features, specifically the impacts of Mt. LS and the Yangtze River, on wind field and PM2.5 transportation were analyzed by “removing” Mt. LS and the Yangtze River from the meteorological diagnostic model and simulating the dispersion of PM2.5 from three virtual point sources in the chemical model. Results showed that: (i) higher terrain elevation and model horizontal resolutions, and updated land cover types, can effectively improve the prediction of wind direction where terrain features are complex; (ii) Mt. LS mainly acts as a barrier, and ridge wind is weakened after “removing” Mt. LS; (iii) after “removing” the Yangtze River, the transport of PM2.5 along the Yangtze River is weakened; (iv) the simulation of PM2.5 from virtual point sources showed that Mt. LS could have an effect of up to 55% on the PM2.5 concentration in Nanjing. This study showed that the local complex topographies have an obvious effect on the local wind field and the concentration of PM2.5. Therefore, it is important to consider the influence of local topographies and land cover types when predicting local wind field and air quality. Full article
(This article belongs to the Special Issue Atmospheric Particle Pollution and Interactions with Meteorological Factors)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop