Recent Studies of Industrial Air Pollution

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

Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 11057

Special Issue Editors

Department of Environmental Engineering, Henan University of Science & Technology, Luoyang 471023, China
Interests: mining pollution; environmental engineering; heavy metals in the environment; soil acidification; site remediation

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Guest Editor
Department of Building, Civil, and Environmental Engineering, Concordia University, Montréal, QC H3G 1M8, Canada
Interests: risk assessment; pollution control; environmental multimedia modelling; environmental application of systems analysis and information technology
School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
Interests: uncertainty modeling of ecosystem services; environmental risk analysis; environmental planning; decision-making systems

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Guest Editor
Department of Building, Civil, and Environmental Engineering, Concordia University, Montréal, QC H3G 1M8, Canada
Interests: life cycle assessment; air quality modelling; air pollution control; artificial intelligence; climate change impact; decision making analysis
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Special Issue Information

Dear Colleagues,

Air pollution studies have been focused on industrial air pollution. Particularly, air pollution worldwide is getting better but still needs more support and attention to deal with emerging issues and better contribute to clean air locally and internationally. This Special Issue will provide an update of recent studies of industrial air pollution in the area of air pollution assessment and future trends, emerging air pollution problems, including nanoparticles, air pollution, role of greenhouse gases in industrial air pollution, and associated health risk.  Research articles, review articles, and case studies are welcome. Contributions should focus on advanced methods and novel techniques to identify industrial emission sources and generate inventory, integrated air quality modeling, decision support, and new air pollution monitoring technologies. Topics include but are not limited to:

  • Regional air quality assessment;
  • Transboundary air pollution;
  • Integrated air quality modeling;
  • Emerging air pollutants, including nanoparticles and heavy metals;
  • Decision support for air pollution control;
  • New air pollution monitoring technologies, including smart sensors and remote sensing;
  • Life cycle analysis for industrial air pollution;
  • The relation between LUCC (Land Use and Land Cover Change ) and air pollution;
  • Air emissions factors and quantification.

Dr. Hui Wang
Prof. Dr. Zhi Chen
Dr. Shuming Ma
Dr. Zunaira Asif
Guest Editors

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Keywords

  • air emission inventory
  • air quality
  • air pollution control
  • air dispersion modeling
  • life cycle assessment
  • industrial air pollution
  • emerging pollutants
  • greenhouse gases
  • remote sensing techniques
  • smart solutions

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Published Papers (4 papers)

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Research

13 pages, 4037 KiB  
Article
Numerical Investigation on the PM Emission Potential of Metal Sulphides Open Storage
by Maria Grazia Badas, Valentina Dentoni, Federico Angius and Francesco Pinna
Atmosphere 2022, 13(9), 1417; https://doi.org/10.3390/atmos13091417 - 2 Sep 2022
Cited by 1 | Viewed by 1296
Abstract
Numerical simulations of the wind flow around isolated stockpiles of bulk material are performed to assess the emission potential (P) of particulate matter (PM) from the pile surfaces exposed to wind erosion (i.e., industrial wind erosion). The analysis is focused on two metal [...] Read more.
Numerical simulations of the wind flow around isolated stockpiles of bulk material are performed to assess the emission potential (P) of particulate matter (PM) from the pile surfaces exposed to wind erosion (i.e., industrial wind erosion). The analysis is focused on two metal sulphides (lead and zinc sulphides), which are typically stored in the open yards of industrial plants that operate in the commodity sector for the production of non-ferrous metals. The EPA methodology is applied to the numerical simulated flow fields to quantify the effect of the wind stress over the erodible surfaces of the two ores. Two alternative open bay geometries and different volumes of material stocked within the enclosing walls are considered. Moreover, the protective effect of the walls is assessed by comparing the same pile configurations without walls. This is found to be highly dependent on the wind direction, as well as to the pile configuration. A methodology that can be easily customized to specific industrial sites is proposed to define the best storage configuration for PM emission prevention and control. Full article
(This article belongs to the Special Issue Recent Studies of Industrial Air Pollution)
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18 pages, 53785 KiB  
Article
Long-Term Variability of Aerosol Concentrations and Optical Properties over the Indo-Gangetic Plain in South Asia
by Imran Shahid, Muhammad Zeeshaan Shahid, Zhi Chen and Zunaira Asif
Atmosphere 2022, 13(8), 1266; https://doi.org/10.3390/atmos13081266 - 10 Aug 2022
Cited by 9 | Viewed by 2747
Abstract
Emissions of atmospheric pollutants are rapidly increasing over South Asia. A greater understanding of seasonal variability in aerosol concentrations over South Asia is a scientific challenge and has consequences due to a lack of monitoring and modelling of air pollutants. Therefore, this study [...] Read more.
Emissions of atmospheric pollutants are rapidly increasing over South Asia. A greater understanding of seasonal variability in aerosol concentrations over South Asia is a scientific challenge and has consequences due to a lack of monitoring and modelling of air pollutants. Therefore, this study investigates aerosol patterns and trends over some major cities in the Indo-Gangetic Plain of the South Asia, i.e., Islamabad, Lahore, Delhi, and Dhaka, by using simulations from the Modern -Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) model and satellite measurements (Moderate Resolution Imaging Spectroradiometer, (MODIS)) from 2000 to 2020. The results show that seasonal MODIS–aerosol optical depth (AOD) during 2000−2020 in Lahore is 0.5, 0.52, 0.92, and 0.71, while in Islamabad 0.25, 0.32, 0.45, and 0.38, in Delhi 0.68, 0.6, 1.0, and 0.77, and in Dhaka 0.79, 0.75, 0.78 and 0.55 values are observed during different seasons, i.e., winter, spring, summer, and autumn, respectively. The analysis reveals a significant increase in aerosol concentrations by 25%, 24%, 19%, and 14%, and maximum AOD increased by 15%, 14%, 19%, and 22% during the winter of the last decade (2011–2020) over Islamabad, Lahore, Delhi, and Dhaka, respectively. In contrast, AOD values decreased during spring by −5%, −12%, and −5 over Islamabad, Lahore, and Delhi, respectively. In Dhaka, AOD shows an increasing trend for all seasons. Thus, this study provides the aerosol spatial and temporal variations over the South Asian region and would help policymakers to strategize suitable mitigation measurements. Full article
(This article belongs to the Special Issue Recent Studies of Industrial Air Pollution)
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16 pages, 1997 KiB  
Article
Effects of Manure Removal Frequencies and Deodorants on Ammonia and GHG Concentrations in Livestock House
by Xia Zhang, Jian Li, Le Shao, Hailin Huan, Feng Qin, Pin Zhai, Jie Yang and Xiaoqing Pan
Atmosphere 2022, 13(7), 1033; https://doi.org/10.3390/atmos13071033 - 29 Jun 2022
Cited by 6 | Viewed by 2068
Abstract
In order to mitigate the concentration of NH3 and greenhouse gases (GHGs: CO2, N2O, CH4) in livestock houses, two experiments, one determining the ideal manure removal frequency by cleaning the feces from a livestock house once, [...] Read more.
In order to mitigate the concentration of NH3 and greenhouse gases (GHGs: CO2, N2O, CH4) in livestock houses, two experiments, one determining the ideal manure removal frequency by cleaning the feces from a livestock house once, twice, three, and four times a day, and one in which microbial deodorant and VenaZn deodorant were sprayed, were conducted in a rabbit breeding house. The NH3, CO2, N2O, and CH4 concentrations were monitored continuously with an Innova 1512 photoacoustic gas monitor during the experiments. The results were as follows: the manure removal frequency had a significant impact on the average concentrations of NH3, CO2, and CH4 in the rabbit house. Cleaning the feces in the rabbit breeding house two to three times a day significantly reduced the NH3 concentration, and, on the contrary, cleaning the feces four times a day increased the NH3 concentration in rabbit house; increasing the manure removal frequency significantly reduced the concentrations of CO2 and CH4 in the rabbit house. Considering the average concentrations of NH3, CO2, N2O, and CH4 in the rabbit house and economic cost, it was better to remove feces twice a day. The average NH3 and CO2 concentration declined significantly within 3 days in the summer and winter; the N2O concentration declined within 3 days in the summer but did not decline in the winter; and there was no effect on the CH4 concentration in the summer and in the winter after spraying the rabbit house with microbial deodorant. Therefore, it was better to spray microbial deodorant twice a week on Monday and Thursday to reduce the NH3, CO2, and N2O concentrations in rabbit houses. The NH3, CO2, N2O, and CH4 concentrations first showed a decreasing trend and then an increasing trend over 5 days in the summer and 7 days in the winter after VenaZn deodorant was sprayed in the rabbit house, and the NH3, CO2, N2O, and CH4 concentrations on day 3 and day 4 were significantly lower than they were on the other days. Full article
(This article belongs to the Special Issue Recent Studies of Industrial Air Pollution)
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13 pages, 1213 KiB  
Article
China’s Port Carbon Emission Reduction: A Study of Emission-Driven Factors
by Yao Yu, Ruikai Sun, Yindong Sun, Jinyou Wu and Wanying Zhu
Atmosphere 2022, 13(4), 550; https://doi.org/10.3390/atmos13040550 - 29 Mar 2022
Cited by 9 | Viewed by 3949
Abstract
Ports offer an effective way to facilitate the global economy. However, massive carbon emission during port operating aggravates the atmospheric pollution in port cities. Capturing characteristics of port carbon emission is vital to reduce GHG (greenhouse gas) in the maritime realm as well [...] Read more.
Ports offer an effective way to facilitate the global economy. However, massive carbon emission during port operating aggravates the atmospheric pollution in port cities. Capturing characteristics of port carbon emission is vital to reduce GHG (greenhouse gas) in the maritime realm as well as to achieve China’s carbon neutral objective. In this work, an integrated framework is proposed for exploring the driving factors of China ports’ emissions combined with stochastic effects on population, affluence and technology regression (STIRPAT), Global Malmquist-Luenberger (GML) and multiple linear regression (MLR). The port efficiency is estimated for each port and the potential driving factors of carbon emission are explored. The results indicate that port carbon emissions have a strong connection with port throughput, productivity, containerization and intermodal transshipment. It is worth noting that the containerization ratio and port physical facility with fossil-free energy improvement have positively correlated with carbon emissions. However, the specific value of waterborne transshipment shows a complex impact on carbon dioxide emission as the ratio increases. The findings reveal that China port authorities need to improve containerization ratio and develop intermodal transportation; meanwhile, it is responsible for port authorities to update energy use and improve energy efficiency in ways to minimize the proportion of non-green energy consumption in accordance with optimizing port operation management including peak shaving and intelligent management systems under a new horizon of clean energy and automatic equipment. Full article
(This article belongs to the Special Issue Recent Studies of Industrial Air Pollution)
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