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Special Issue "Sustainable Air Pollution Assessment and Management"

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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

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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

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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

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Keywords

air pollution
sustainable assessment
sustainable management
air pollution measurements
air pollution simulation
anthropogenic emission reduction

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Research

17 pages, 453 KiB

Open AccessArticle

Air Pollution Governance and Residents’ Happiness: Evidence of Blue Sky Defense in China

Jie Zhu

Chuntian Lu

and

Anrui Song

Sustainability 2023, 15(21), 15288; https://doi.org/10.3390/su152115288 - 25 Oct 2023

Viewed by 472

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, 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

Open AccessCommunication

Development of a Portable and Sensitive CO₂ Measurement Device with NDIR Sensor Clusters and Minimizing Water Vapor Impact

and

Sustainability 2023, 15(2), 1533; https://doi.org/10.3390/su15021533 - 12 Jan 2023

Viewed by 1383

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 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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