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Special Issue "Air Pollution Control in China: Progress, Challenges, and Perspectives (2nd Edition)"

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

Deadline for manuscript submissions: 22 December 2023 | Viewed by 2807

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Prof. Dr. Tao Zhu

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Guest Editor

School Chemical & Environmental Engineering, China University of Mining and Technology—Beijing, Beijing 100083, China
Interests: plasma; atmospheric particulate matter; VOCs governance; catalyst
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Dear Colleagues,

Air pollution control can be understood in three aspects. One refers to the use of laws to limit or prohibit the spread of pollutants. This requires determining which substances should be restricted and to what extent. In addition, it is necessary to study the impact of harmful substances on human health, damage to property, harm to aesthetics, the interaction of different pollutants in the atmosphere, and the migration and transformation laws of pollutants in the atmosphere. The second aspect refers to the meaning of "prevention". What methods are used to prevent air pollution from occurring? In addition to eliminating pollution sources that severely damage the environment and ecology, some methods can also reduce the amount of pollutants discharged to a level that does not seriously pollute the atmosphere. The third aspect refers to using scientific methods to deal with pollutants that already exist in the air.

At present, the main air pollutants are the soot, carbon dioxide, and sulfide produced by burning fossil fuels, as well as the carbon monoxide, hydrocarbons, and nitrogen oxides emitted from automobile exhaust. China’s past economic growth relied on fossil fuel consumption to a large extent, causing serious air pollution problems. Solving the contradiction between economic growth and pollution improvement has become the key to China’s development as an ecological civilization. Since 2013, China has taken many measures to address air pollution and has achieved many successes. However, air quality is still not optimistic, and it is still necessary to continue to increase efforts to prevent and control air pollution. The purpose of this Special Issue is to provide the latest research on the progress, challenges, and future development prospects of China's air pollution control. Manuscripts on various aspects of China’s air pollution control are welcome.

Prof. Dr. Tao Zhu
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.

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Keywords

air pollution
control
prevention

Published Papers (3 papers)

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Research

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Open AccessArticle

Hybrid Prediction Model of Air Pollutant Concentration for PM_2.5 and PM₁₀

Yanrong Ma

Jun Ma

and

Yifan Wang

Atmosphere 2023, 14(7), 1106; https://doi.org/10.3390/atmos14071106 - 02 Jul 2023

Viewed by 434

Abstract

To alleviate the negative effects of air pollution, this paper explores a mixed prediction model of pollutant concentration based on the machine learning method. Firstly, in order to improve the prediction performance of the sparrow search algorithm least square support vector machine (SSA-LSSVM), a reverse learning strategy-lens principle is introduced, and a better solution is obtained by optimizing the current solution and reverse solution at the same time. Secondly, according to the nonlinear and non-stationary characteristics of the time series data of

{PM}_{2.5}

and

{PM}_{10}

, the variational mode decomposition (VMD) method is used to decompose the original data to obtain the appropriate K value. Finally, experimental verification and an empirical analysis are carried out. In experiment 1, we verified the good performance of the model on University of California Irvine Machine Learning Repository (UCI) datasets. In experiment 2, we predicted the pollutant data of different cities in the Beijing–Tianjin–Hebei region in different time periods, and obtained five error results and compared them with six other algorithms. The results show that the prediction method in this paper has good robustness and the expected results can be obtained under different prediction conditions. Full article

(This article belongs to the Special Issue Air Pollution Control in China: Progress, Challenges, and Perspectives (2nd Edition))

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Open AccessArticle

A Two-Stage Hybrid Model for Determining the Scopes and Priorities of Joint Air Pollution Control

and

Atmosphere 2023, 14(5), 891; https://doi.org/10.3390/atmos14050891 - 19 May 2023

Viewed by 699

Abstract

Due to the spillover nature of air pollution, the territorial separate governance mode is ineffective in combating pollution, making Joint Prevention and Control of Air Pollution (JPCAP) among multiple regions the only viable option. However, determining the appropriate scopes and priorities for JPCAP is known to be a challenging and significant issue. To address this, we propose a new two-stage hybrid model. In the first stage, making use of long-term, wide area monitoring data provided by the air pollution monitoring network, we propose a new method for subdividing large regions into sub-regions by using data mining techniques. In the second stage, we propose a comprehensive decision-making framework to evaluate the priorities of JPCAP sub-regions from three different perspectives, namely, the impact of a sub-region on the pollution level of the entire target region, as well as the urgency and elasticity of sub-regional air pollution control. A case study is conducted on 27 cities of the Yangtze River Delta region of China. The case study demonstrates the validity and practicality of the proposed two-stage hybrid model. This work provides a viable tool for the effective implementation of air pollution control in China and other regions of the world. Full article

(This article belongs to the Special Issue Air Pollution Control in China: Progress, Challenges, and Perspectives (2nd Edition))

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Review

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Open AccessEditor’s ChoiceReview

Deactivation Mechanism and Anti-Deactivation Measures of Metal Catalyst in the Dry Reforming of Methane: A Review

and

Atmosphere 2023, 14(5), 770; https://doi.org/10.3390/atmos14050770 - 23 Apr 2023

Cited by 1 | Viewed by 1402

Abstract

In recent decades, the massive emission of greenhouse gases, such as carbon dioxide and methane, into the atmosphere has had a serious impact on the ecological environment. The dry reforming of carbon dioxide and methane to syngas cannot only realize the resource utilization of methane and carbon dioxide but also reduce global climate change. It is of great significance in carbon emission reduction. Owing to the dry reforming of methane (DRM) being a strongly endothermic reaction, it needs to be carried out under high-temperature conditions. It makes the catalyst have problems of the sintering of metal, carbon deposition, and poisoning. This article revolves around the problem of catalyst deactivation during the DRM reaction. It expands upon the thermodynamics and mechanisms of the DRM reaction, analyzes the causes of metal catalyst deactivation due to carbon deposition, sintering, and poisoning, and summarizes how the active components, supports, and additives of metal catalysts restrain the DRM catalyst deactivation during the reaction. The analysis revealed that changing the type and size of the active metal, adjusting the properties of the support, and adding additives can further regulate the dispersion of the active component, the interaction between the active component and the support, the oxygen vacancies of the support, and the acidity and basicity of the catalyst surface, ultimately achieving control over the metal catalyst’s resistance to sintering, carbon deposition, and sulfur poisoning. In addition, it discusses the application of metal catalysts in photothermal and plasma-catalyzed DRM. Finally, it outlines the prospects for research on metal catalysts for the DRM. Full article

(This article belongs to the Special Issue Air Pollution Control in China: Progress, Challenges, and Perspectives (2nd Edition))

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