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Atmosphere
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Air pollution and meteorology interaction
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Air pollution and meteorology interaction

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5905

Special Issue Editors

Dr. Changqing Lin

E-Mail Website
Guest Editor
Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong, China
Interests: remote sensing; aerosols; air pollutions; public health
Special Issues, Collections and Topics in MDPI journals
Dr. Guangming Shi

E-Mail Website
Guest Editor
College of Architecture & Environment, Sichuan University, Chengdu, China
Interests: air pollution; meteorology; particulate matter
Dr. Tianning Su

E-Mail Website
Guest Editor
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Interests: remote sensing; planetary boundary layer; aerosols; cloud; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Air pollution is the leading environmental risk factor affecting health, causing around 7 million premature deaths per year. Pollutant concentrations still far exceed the air quality standards of the World Health Organization in most regions, particularly in developing countries such as China and India. The formation of air pollution is complex in ambient air. Meanwhile, the interaction between air pollution and meteorology plays an essential role in worsening the long-term concentration levels and in the formation of severe air pollution episodes. The prevailing wind condition is associated with large-scale atmospheric circulations and determines the general pollution transport feature for a specific region. Synoptic-scale weather systems, such as tropical cyclones and weather fronts, may lead to a surge in air pollutant concentrations. Mesoscale systems such as the land–sea breeze circulation can cause boundary-layer convergence and thus have a trapping effect on air pollution. In addition, the dispersion of air pollutants is greatly determined by atmospheric stability and boundary-layer structures such as temperature inversion. In particular, the aerosol–boundary-layer interaction can substantially increase pollutant concentrations when there is a high loading of aerosols. Understanding the interaction between air pollution and meteorology has become the focus of improving air quality, and is the key to win the battle towards a blue sky. This Special Issue is open to all publications on air quality and meteorological impacts around the world.

Dr. Changqing Lin
Dr. Guangming Shi
Dr. Tianning Su
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

  • air pollution
  • meteorology
  • atmospheric circulation
  • boundary layer
  • regional transport
  • aerosol
  • trace gas
  • emission
  • air quality modeling
  • exposure and health

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Published Papers (2 papers)

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Research

21 pages, 5459 KiB  
Article
Non-Stationarity of Aerosol Extinction Coefficient per Unit of Mass in Autumn and Winter in Chengdu, China
by Meng Yang, Changjian Ni, Yinshan Yang and Jin Fan
Atmosphere 2022, 13(7), 1064; https://doi.org/10.3390/atmos13071064 - 4 Jul 2022
Cited by 1 | Viewed by 1470
Abstract
Based on hourly observation data from the aethalometer and GRIMM180 environment particle monitor as well as the simultaneous data of visibility (V), relative humidity (RH) and nitrogen dioxide (NO2) from October to December in 2017 in Chengdu, the corresponding time series [...] Read more.
Based on hourly observation data from the aethalometer and GRIMM180 environment particle monitor as well as the simultaneous data of visibility (V), relative humidity (RH) and nitrogen dioxide (NO2) from October to December in 2017 in Chengdu, the corresponding time series of aerosol extinction coefficient per unit of mass is retrieved. The generalized additive models (GAMs) are adopted to analyze the non-stationarity of the time series of aerosol extinction coefficient per unit of mass and to explore the responses of the aerosol extinction coefficient per unit of mass to the aerosol component structure factors (ρBC/ρPM10, ρPM1/ρPM2.5, ρPM1~2.5/ρPM2.5 and ρPM2.5/ρPM10; ρ represents particle mass concentration) and RH. The results show that through the comparative analysis of stationary and non-stationary models, the time series of aerosol extinction coefficient per unit of mass in autumn and winter in Chengdu is non-stationary. In addition, the RH and aerosol component structure factors are all significant nonlinear covariates that affect the non-stationarity of the aerosol extinction coefficient per unit of mass. According to the influence of covariates, the sequence is as follows: RH > ρBC/ρPM10 > ρPM2.5/ρPM10 > ρPM1/ρPM2.5. At PM2.5 pollution concentration (ρPM2.5 > 75 μg m−3), according to the influence of covariates, the sequence is as follows: RH > ρPM1~2.5/ρPM2.5 > ρBC/ρPM10 > ρPM2.5/ρPM10. Moreover, the interaction between RH and aerosol component structure factors significantly affects the aerosol extinction coefficient per unit of mass. The condition of high RH, high ρPM2.5/ρPM10, high ρPM1/ρPM2.5 and low ρBC/ρPM10 has a synergistic amplification effect on the increase of the aerosol extinction coefficient per unit of mass. At PM2.5 pollution concentration, the synergistic effect of high RH, high ρPM2.5/ρPM10, high ρPM1~2.5/ρPM2.5 and low ρBC/ρPM10 is beneficial to the increase of the aerosol extinction coefficient per unit of mass. Full article
(This article belongs to the Special Issue Air pollution and meteorology interaction)
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17 pages, 5663 KiB  
Article
Monitoring Rainwater Properties and Outdoor Particulate Matter in a Former Steel Manufacturing City in Romania
by Daniel Dunea, Virgil Iordache, Loredana Neagu Frasin, Aurora Neagoe, Laurentiu Predescu and Stefania Iordache
Atmosphere 2021, 12(12), 1594; https://doi.org/10.3390/atmos12121594 - 29 Nov 2021
Cited by 3 | Viewed by 2682
Abstract
Wet deposition is influencing air quality because air pollutants are washed away from the surrounding air. Consequently, particulate matter and associated compounds are transported in the rainwater and enter into soil, surface waters, and groundwater. Nonpoint sources of heavy metals from stormwater runoff [...] Read more.
Wet deposition is influencing air quality because air pollutants are washed away from the surrounding air. Consequently, particulate matter and associated compounds are transported in the rainwater and enter into soil, surface waters, and groundwater. Nonpoint sources of heavy metals from stormwater runoff have increased in urban areas due to industrialization and the increasing impervious surfaces. In this work, we present an assessment of the rainwater composition regarding the nutrients and other physicochemical characteristics measured in three locations selected in Targoviste city, Romania, a city that had a specialized steel factory and important metallurgical facilities. The rainwater was collected using three PALMEX rain samplers and then was transferred to high-density polyethylene bottles and analyzed using ICP-MS. PM2.5 concentrations were also monitored continuously using optical monitors calibrated using a gravimetric sampler. A detailed analysis of the heavy metals content in rainwater and PM was presented for the pollution episodes occurring in October and November 2019. Backward trajectories were computed using the HYSPLIT model for these periods. The results showed that the PM2.5 ranged from 11.1 to 24.1 μg/m3 in 2019, while the heavy metals in collected rainwater were (µg L−1): 0.25 (Cd) − CV = 26.5%, 0.10 (Co) − CV = 58.1%, 1.77 (Cr) − CV = 24.3%, 377.37 (Ni) − CV = 27.9%, 0.67 (Pb) − CV = 74.3%, and 846.5 (Zn) − CV = 20.6%. Overall, Ni, Pb, Cr, and V had significant correlations between the concentrations from rainwater and PM. Negative associations were found between precipitation events and heavy metals both from rainwater and PM, but only a few showed statistical significance. However, this could explain the “washing” effect of the rain on the heavy metals from PM2.5. The potential sources of nitrogen in the rainwater collected in Targoviste could be from burning fossil fuels and the soils, including both biological processes and fertilization resulting from the intensive agriculture in the piedmont plain in which the city is located. Based on the results, rainwater monitoring can constitute a reliable method for air quality characterization. Additional research is required to better understand seasonality and sources of heterogeneity regarding the associations between PM and rainwater composition. Full article
(This article belongs to the Special Issue Air pollution and meteorology interaction)
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