Industrial Air Pollution: Emission, Management and Policy (2nd Edition)

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

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2205

Special Issue Editor


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Guest Editor
Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, China
Interests: volatile organic compounds (VOCs); emission characteristics; reducing amount control; technology reduction; stationary sources
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Special Issue Information

Dear Colleagues,

This Special Issue is the second volume in a series of publications dedicated to “Industrial Air Pollution: Emission, Management and Policy” (https://www.mdpi.com/journal/atmosphere/special_issues/Industrial_Emis_Manag_Policy)

The industry uses complex processes utilizing many airborne pollutants, including airborne particulate matters (PM10 and PM2.5), sulfur oxides (SOx), nitrogen oxides (NOx), volatile organic compounds (VOCs), etc. Many of them pose significant risk to environmental and/or human health, an issue that has attracted global concern. Additionally, higher standards are required for risk control.

Many air diffusion models have been employed to simulate spatial changes in air pollution concentrations. Air diffusion models are suitable for simulating pollutant concentrations in air since they explicitly consider transmission and pollutant changes in the environment, and they provide an explanation for time variations.

In recognition of this, the open access journal Atmosphere is hosting a Special Issue to showcase the most recent findings related to industrial park air quality, emission characteristics, stationary source management strategies, standards and policies, air diffusion models, exposure risk and health effects, etc. With the recent expansion of research showing the management of air pollutants from industrial sources in the direction of refined treatments, this Special Issue is also an appropriate venue for papers that discuss industrial source analyses and the evaluation of control strategies. Ultimately, this Special Issue aims to showcase the most recent comparable evidence concerning the impact of industrial air quality on people and organizations.

Original results from the field and controlled investigations, subjective surveys, models, and review papers related to industrial air pollution are all welcome. Authors are encouraged to include a section pertaining to future issues, opportunities, and/or concerns related to their topics from a 5-, 10- and 20-year perspective.

Dr. Hailin Wang
Guest Editor

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Keywords

  • industrial park air pollution
  • industrial emissions
  • emission characteristics
  • air diffusion models
  • health effect
  • stationary source management strategies
  • standards and policies
  • control scenarios
  • air quality modeling

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Published Papers (2 papers)

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Research

13 pages, 28394 KiB  
Article
Emissions of Oxygenated Volatile Organic Compounds and Their Roles in Ozone Formation in Beijing
by Xiao Yan, Xionghui Qiu, Zhen Yao, Jiye Liu and Lin Wang
Atmosphere 2024, 15(8), 970; https://doi.org/10.3390/atmos15080970 - 14 Aug 2024
Viewed by 599
Abstract
Oxygenated volatile organic compound (OVOC) emissions play a critical role in tropospheric ozone (O3) formation. This paper aims to establish an emission inventory and source profile database for OVOCs in Beijing, utilizing revised and reconstructed data from field measurements and existing [...] Read more.
Oxygenated volatile organic compound (OVOC) emissions play a critical role in tropospheric ozone (O3) formation. This paper aims to establish an emission inventory and source profile database for OVOCs in Beijing, utilizing revised and reconstructed data from field measurements and existing literature. The study also assesses their potential impact on the O3 base on the ozone formation potential (OFP). Results indicate that OVOC emissions in Beijing predominantly originate from natural and residential sources, encompassing commercial solvent usage, cooking, residential combustion, construction adhesives, and construction coatings. OVOCs contributed 5.6% to OFP, which is significantly less than their emission contribution of 20.1%. Major OFP contributors include plant sources (26.2%), commercial solvent use (21.0%), cooking (20.5%), and construction adhesives (8.4%). The primary OVOC species contributing to OFP for OVOCs are acetaldehyde, methanol, hexanal, ethanol, and acetone, collectively contributing 59.0% of the total OFP. Natural sources exhibit significant seasonal variability, particularly in summer when plant emissions peak, constituting 78.9% of annual emissions and significantly impacting summer ozone pollution (OFP of 13,954 t). Conversely, emissions from other OVOC sources remain relatively stable year-round. Thus, strategies to mitigate summer ozone pollution in Beijing should prioritize plant sources while comprehensively addressing residential sources in other seasons. District-specific annual OVOC emissions are from Fangshan (3967 t), Changping (3958 t), Daxing (3853 t), and Chaoyang (3616 t), which reflect year-round forested areas in these regions and high populations. Full article
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19 pages, 2761 KiB  
Article
Driving Factors of NOx Emissions in China: Insights from Spatial Regression Analysis
by Mahmoud M. Abdelwahab, Ohood A. Shalaby, H. E. Semary and Mohamed R. Abonazel
Atmosphere 2024, 15(7), 793; https://doi.org/10.3390/atmos15070793 - 30 Jun 2024
Cited by 1 | Viewed by 1066
Abstract
China’s rapid industrialization and urbanization have led to significant nitrogen oxide (NOx) emissions, contributing to severe atmospheric pollution. Understanding the driving factors behind these emissions is crucial for effective pollution control and environmental management. Therefore, this study is an attempt to provide insights [...] Read more.
China’s rapid industrialization and urbanization have led to significant nitrogen oxide (NOx) emissions, contributing to severe atmospheric pollution. Understanding the driving factors behind these emissions is crucial for effective pollution control and environmental management. Therefore, this study is an attempt to provide insights into the influence of socioeconomic factors and explore spatial dependencies of NOx emissions in China in 2022 employing spatial regression models (SRMs). Among the SRMs considered, the spatial Durbin model (SDM) is identified as the most suitable for analyzing regional NOx emissions. The study highlights the importance of controlling electricity consumption and vehicle emissions for addressing air pollution in Chinese regions. Specifically, a one billion kilowatt-hour increase in electricity consumption leads to approximately 549.6 tons of NOx emissions, and an increase of 1000 vehicles in a region results in an average increase of 7113.4 tons of NOx emissions in the same region. Furthermore, per capita consumption expenditure (PCEXP) and research and development (R&D) expenditure exhibit negative direct and spillover impacts. Contrary to previous studies, this research finds that changes in urban population density do not have a significant direct or indirect effect on NOx emissions within the studied areas. Moreover, we conducted additional investigations to assess the effectiveness of government action plans in reducing NOx emissions. Specifically, we evaluated the impact of Phases 1 and 2 of the Clean Air Action Plan, launched in 2013 and 2018, respectively, on the socioeconomic drivers of NOx emissions. Therefore, the data were modeled for the years 2013 and 2017 and compared to the results obtained for 2022. The findings indicate that over the entire period (2013–2022), the emission controls mandated by the action plan resulted in significant reductions in the impact of many of the studied NOx drivers. In conclusion, based on the results, this study presents recommendations to mitigate NOx emissions. Full article
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