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Sustainable Air Pollution Assessment and Management
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Sustainable Air Pollution Assessment and Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 3237

Special Issue Editors

Prof. Dr. Shaocai Yu

E-Mail Website
Guest Editor
Research Center for Air Pollution and Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Interests: air pollution control; climate change; atmospheric and environmental effects; regional modeling; aerosols and clouds
Prof. Dr. Pengfei Li

E-Mail Website
Guest Editor
College of Science and Technology, Hebei Agricultural University, Baoding, China
Interests: air pollution; climate change; satellite observations; numerical simulation
Prof. Dr. Xiaobing Pang

E-Mail Website
Guest Editor
Environmental School, Zhejiang University of Technology, Hangzhou 310000, China
Interests: atmospheric measuring technique; atmospheric chemistry; technologies for air pollution control

Special Issue Information

Dear Colleagues,

Air pollution has played a negative role in human health, ecological environment, and climate change over the past 100 years, which has significantly worsened in recent decades and is likely to be persistent in the future. Such “sustainable” threats, without doubt, require sustainable assessment and management. However, huge gaps remain due to not only vast puzzles in air pollution mechanisms but also insufficient techniques for sustainable assessment and management. A catastrophic consequence of this is that there is still a large amount of air pollution worldwide that is not being monitored or controlled.

The objective of this Special Issue is to provide broad scientific advances in the sustainable assessment and management of air pollution, with special technical focuses on breakthroughs in fundamental theories, real-world measurements, retrospective simulations, trend forecasts, source apportionments, end-of-pipe treatment, and policymaking. Topics of interest for this Special Issue include, but are not limited to, the following:

  • New knowledge of air pollution mechanisms;
  • New techniques of anthropogenic emission reduction;
  • New insight on energy structure adjustment;
  • New path to industrial transformation;
  • New cost–benefit analysis on anthropogenic emission reduction;
  • Advances in sustainable in situ measurements of air pollutants;
  • Advances in sustainable satellite measurements of air pollutants;
  • Advances in sustainable policies of air pollution control.

Prof. Dr. Shaocai Yu
Prof. Dr. Pengfei Li
Prof. Dr. Xiaobing Pang
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. Sustainability is an international peer-reviewed open access semimonthly 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
  • sustainable assessment
  • sustainable management
  • air pollution measurements
  • air pollution simulation
  • anthropogenic emission reduction

Published Papers (2 papers)

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Research

17 pages, 453 KiB  
Article
Air Pollution Governance and Residents’ Happiness: Evidence of Blue Sky Defense in China
by Jie Zhu, Chuntian Lu and Anrui Song
Sustainability 2023, 15(21), 15288; https://doi.org/10.3390/su152115288 - 25 Oct 2023
Viewed by 880
Abstract
Enhancing people’s happiness should be the standard of public policies. With the growing prominence of air pollution issues, governments and scholars have started to pay attention to happiness as it relates to air pollution. However, the relevant research has been limited in China, [...] Read more.
Enhancing people’s happiness should be the standard of public policies. With the growing prominence of air pollution issues, governments and scholars have started to pay attention to happiness as it relates to air pollution. However, the relevant research has been limited in China, and the results are not clear, with little attention given to subjective perception related to air pollution. In recent years, China has strengthened its efforts in containing air pollution, striving to fulfill the people’s longing for a blue sky. In this study, we aimed to investigate the impact of pollution governance on residents’ happiness, considering both objective and subjective aspects. Using the Chinese General Social Survey and data on PM10, our study was diachronic in nature, analyzing residents’ happiness and the improvement in air quality as well as people’s evaluation of governance concerning pollution. The statistical methods used primarily included t-tests and multiple linear regression. The results showed the following: (1) Residents’ happiness showed a significant improvement from 2013 to 2021, accompanied by enhancements in both an objective improvement in air quality and subjective evaluation of pollution governance. (2) Both an objective improvement in air quality and the subjective evaluation of pollution governance showed positive effects on residents’ happiness. This study not only enriches the theoretical understanding of the relationship between air pollution and happiness but also provides valuable insights for formulating policies that are more conducive to pollution governance and public happiness. To enhance happiness, the government needs to continue improving the air quality and guide residents in appropriately evaluating pollution governance. Full article
(This article belongs to the Special Issue Sustainable Air Pollution Assessment and Management)
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13 pages, 3726 KiB  
Communication
Development of a Portable and Sensitive CO2 Measurement Device with NDIR Sensor Clusters and Minimizing Water Vapor Impact
by Zhentao Wu, Xiaobing Pang, Bo Xing, Qianqian Shang, Hai Wu, Yu Lu, Haonan Wu, Yan Lyu, Jingjing Li, Baozhen Wang, Shimin Ding, Dongzhi Chen and Jianmeng Chen
Sustainability 2023, 15(2), 1533; https://doi.org/10.3390/su15021533 - 12 Jan 2023
Cited by 2 | Viewed by 1880
Abstract
Increasing carbon dioxide (CO2) concentrations threaten human production and life. Currently the equipment used for CO2 monitoring is heavy and expensive, without a portable CO2 detector that is inexpensive and resistant to interference. Here we designed a portable CO [...] Read more.
Increasing carbon dioxide (CO2) concentrations threaten human production and life. Currently the equipment used for CO2 monitoring is heavy and expensive, without a portable CO2 detector that is inexpensive and resistant to interference. Here we designed a portable CO2 detector based on no-dispersive infrared sensors to measure CO2 concentration. The detector, which has a mass of 1 kg, is powered by a lithium battery with dimensions of 200 mm (length) × 150 mm (width) × 100 mm (height). Considering the fact that field observations are susceptible to humidity, a series of experiments were carried out to reduce the humidity interference on sensor responses at a laboratory. The values of humidity and CO2 variation were used in a regression model analysis to determine a quadratic function with an R2 above 0.94. The detector was compared with a reference analyzer in ambient CO2 measurement during a 7-day field campaign in Hangzhou, China. After humidity correction, the data show better correlation with the reference data, with the R2 0.62–0.97 increasing from 0.62–0.97 compared to before the correction and the value deviation decreasing to less than 3%. Cluster analysis of sensors revealed a reduction in average relative deviation of up to 1.4% as the number of sensors increased. Full article
(This article belongs to the Special Issue Sustainable Air Pollution Assessment and Management)
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