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Sustainable Air Pollution Management
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Sustainable Air Pollution Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Chemical Engineering and Technology".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 16715

Special Issue Editor

Dr. Md. Aynul Bari

E-Mail Website
Guest Editor
Department of Environmental and Sustainable Engineering, University at Albany, State University of New York (SUNY), Albany, NY 12222, USA
Interests: ambient air quality monitoring and characterization; indoor and outdoor behavior of air pollutants; particulate air pollution; source characterization and apportionment; sustainable air pollution management; atmospheric deposition of air pollutants; environmental impact assessment; influence of energy development on air quality; residential wood burning; low-cost air pollution sensors; air pollution exposure and public health risk assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There has been growing awareness and public health concerns about the state of air quality in urban and rural areas. Both ambient (outdoor) and household (indoor) air pollution are now considered as the leading environmental health risks. Despite improvement in air pollution control technologies in developed nations, air pollution problems (e.g., high levels of ground-level ozone and secondary particulate matter pollution) exist in some urban and rural areas, primarily due to a lack of effective implementation measures and/or changes in policy. Meanwhile, some Asian countries (e.g., China, India) are experiencing severe air pollution problems like smog and haze in recent years due to rapid industrial development including fossil fuel consumption with lack of adequate emission controls and policy implementation.

The overall focus of this Special Issue is to provide innovative approaches to air pollution control strategies and cost-effective solutions to reduce air emissions in order to support the initiatives of achieving sustainable air quality. Key aspects of sustainable air pollution management include sustainable energy and transportation, green infrastructure, sustainable and energy-efficient buildings, cost-effective air quality monitoring systems, citizen science, life cycle analysis, and cost–benefit analysis of sustainable approaches to reduce emissions. Therefore, the purpose of this Special Issue is to present the current state-of-the-art in strategies for cost-effective air pollution measurements, modeling, and controls towards sustainable communities, and this will add new information to the existing literature.

Topics of interest for this Special Issue include, but are not limited to the following:

  • Sustainable energy development and air quality;
  • Sustainable transportation and air quality;
  • Effects of green infrastructure on air quality;
  • Sustainable agriculture for air pollution reduction;
  • Life cycle analysis for near-field and far-field exposure assessment;
  • Role of low-cost internet of things (IoT) in sustainable air quality;
  • Energy-efficient and cost-effective approaches for sustainable indoor air quality;
  • Cost–benefit analysis for assessing air pollution reduction;
  • Sustainable policies and role of mass media for air pollution control.

Dr. Md. Aynul Bari
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. 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

  • Ambient air quality
  • Pollution prevention
  • Sustainable design
  • Green engineering
  • Life cycle analysis
  • Household air pollution
  • Low-cost sensors
  • Sustainable policies

Published Papers (4 papers)

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Research

20 pages, 945 KiB  
Article
“Following the Science”: In Search of Evidence-Based Policy for Indoor Air Pollution from Radon in Ireland
by Anthea R. Lacchia, Geertje Schuitema and Aparajita Banerjee
Sustainability 2020, 12(21), 9197; https://0-doi-org.brum.beds.ac.uk/10.3390/su12219197 - 05 Nov 2020
Cited by 7 | Viewed by 3218
Abstract
Radon, a naturally occurring radioactive gas that can accumulate inside dwellings, represents the second biggest cause of lung cancer globally. In Ireland, radon is linked to approximately 300 lung cancer cases every year, equating to 12% of all lung cancer deaths. Despite the [...] Read more.
Radon, a naturally occurring radioactive gas that can accumulate inside dwellings, represents the second biggest cause of lung cancer globally. In Ireland, radon is linked to approximately 300 lung cancer cases every year, equating to 12% of all lung cancer deaths. Despite the health risks posed by radon air pollution, Ireland lacks well-defined and universally applicable air pollution-related public health policies. Through purposive literature sampling, we critically examine the case of indoor radon policy development in Ireland. Specifically, we analyse the evidence-based policymaking process relating to indoor radon pollution from three different knowledge dimensions, namely political, scientific, and practical knowledge. In doing so, we identify various challenges inherent to pollution-related public policymaking. We highlight the difficulties of balancing and integrating information from multiple disciplines and perspectives and argue that input from multiple scientific areas is crucial, but can only be achieved through continued, dialogic communication between stakeholders. On the basis of our analysis, we suggest that a transdisciplinary perspective, defined as a holistic approach which subordinates disciplines and looks at the dynamics of whole systems, will allow evidence-based policymaking to be effective. We end with recommendations for evidence-based policymaking when it comes to public health hazards such as radon, which are applicable to sustainable air pollution management beyond Ireland. Full article
(This article belongs to the Special Issue Sustainable Air Pollution Management)
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15 pages, 265 KiB  
Article
Impact of Environmental Regulations on Environmental Quality and Public Health in China: Empirical Analysis with Panel Data Approach
by Liwei Tang, Ke Li and Pinrong Jia
Sustainability 2020, 12(2), 623; https://0-doi-org.brum.beds.ac.uk/10.3390/su12020623 - 15 Jan 2020
Cited by 18 | Viewed by 2825
Abstract
Achieving high-quality environmental development through environmental regulations and thus enhancing public health is a goal of the Chinese government. Based on the panel data of 30 Chinese provinces from 1998 to 2017, this study demonstrates the co-benefits of environmental regulations on air quality, [...] Read more.
Achieving high-quality environmental development through environmental regulations and thus enhancing public health is a goal of the Chinese government. Based on the panel data of 30 Chinese provinces from 1998 to 2017, this study demonstrates the co-benefits of environmental regulations on air quality, water, and public health through a panel Granger causality model and mediation effect model. The findings indicate that environmental regulations have a Granger causal effect on public health costs and air and water pollution. Furthermore, the results from the mediation effect model suggest that waste gas treatment could improve air quality, thus reducing public health costs; wastewater treatments could not only reduce public health costs through improvement of the water environment but also increase social welfare. Additionally, air pollution exhibits a greater negative externality impact on health than water pollution. Thus, environmental regulation policies should pay more attention to air pollution control. The findings of this study indicate that environmental regulations have a significant co-benefit on high-quality environmental development and public health. Full article
(This article belongs to the Special Issue Sustainable Air Pollution Management)
22 pages, 4064 KiB  
Article
Observed Daily Profiles of Polyaromatic Hydrocarbons and Quinones in the Gas and PM1 Phases: Sources and Secondary Production in a Metropolitan Area of Mexico
by Valeria Ojeda-Castillo, Iván Y. Hernández-Paniagua, Leonel Hernández-Mena, Alberto López-López, José de Jesús Díaz-Torres, Sergio Alonso-Romero and Jorge del Real-Olvera
Sustainability 2019, 11(22), 6345; https://0-doi-org.brum.beds.ac.uk/10.3390/su11226345 - 12 Nov 2019
Cited by 1 | Viewed by 2298
Abstract
The diel variation of meteorological conditions strongly influences the formation processes of secondary air pollutants. However, due to the complexity of sampling highly reactive chemical compounds, significant information about their transformation and source can be lost when sampling over long periods, affecting the [...] Read more.
The diel variation of meteorological conditions strongly influences the formation processes of secondary air pollutants. However, due to the complexity of sampling highly reactive chemical compounds, significant information about their transformation and source can be lost when sampling over long periods, affecting the representativeness of the samples. In order to determine the contribution of primary and secondary sources to ambient levels of polyaromatic hydrocarbons (PAHs) and quinones, measurements of gas and PM1 phases were conducted at an urban site in the Guadalajara Metropolitan Area (GMA) using a 4-h sampling protocol. The relation between PAHs, quinones, criteria pollutants, and meteorology was also addressed using statistical analyses. Total PAHs (gas phase + PM1 phase) ambient levels ranged between 184.03 ng m−3 from 19:00 to 23:00 h and 607.90 ng m−3 from 07:00 to 11:00 h. These figures both coincide with the highest vehicular activity peak in the morning and at night near the sampling site, highlighting the dominant role of vehicular emissions on PAHs levels. For the gas phase, PAHs ranged from 177.59 to 595.03 ng m−3, while for PM1, they ranged between 4.81 and 17.44 ng m−3. The distribution of the different PAHs compounds between the gas and PM1 phases was consistent with their vapour pressure (p °L) reported in the literature, the PAHs with vapour pressure ≤ 1 × 10−3 Pa were partitioned to the PM1, and PAHs with vapour pressures ≥ 1 × 10−3 Pa were partitioned to the gas phase. PAHs diagnostic ratios confirmed an anthropogenic emission source, suggesting that incomplete gasoline and diesel combustion from motor vehicles represent the major share of primary emissions. Quinones ambient levels ranged between 18.02 ng m−3 at 19:00–23:00 h and 48.78 ng m−3 at 15:00–19:00 h, with significant increases during the daytime. The distribution of quinone species with vapour pressures (p °L) below 1 × 10−4 Pa were primarily partitioned to the PM1, and quinones with vapour pressures above 1 × 10−4 Pa were mainly partitioned to the gas phase. The analysis of the distribution of phases in quinones suggested emissions from primary sources and their consequent degradation in the gas phase, while quinones in PM1 showed mainly secondary formation modulated by UV, temperature, O3, and wind speed. The sampling protocol proposed in this study allowed obtaining detailed information on PAHs and quinone sources and their secondary processing to be compared to existing studies within the GMA. Full article
(This article belongs to the Special Issue Sustainable Air Pollution Management)
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11 pages, 795 KiB  
Article
Markov Chain Model Development for Forecasting Air Pollution Index of Miri, Sarawak
by Nurul Nnadiah Zakaria, Mahmod Othman, Rajalingam Sokkalingam, Hanita Daud, Lazim Abdullah and Evizal Abdul Kadir
Sustainability 2019, 11(19), 5190; https://0-doi-org.brum.beds.ac.uk/10.3390/su11195190 - 22 Sep 2019
Cited by 25 | Viewed by 6404
Abstract
A Markov chain is commonly used in stock market analysis, manpower planning, and in many other areas because of its efficiency in predicting long run behavior. However, the Air Quality Index (AQI) suffers from not using a Markov chain in its forecasting approach. [...] Read more.
A Markov chain is commonly used in stock market analysis, manpower planning, and in many other areas because of its efficiency in predicting long run behavior. However, the Air Quality Index (AQI) suffers from not using a Markov chain in its forecasting approach. Therefore, this paper proposes a simple forecasting tool to predict the future air quality with a Markov chain model. The proposed method introduces the Markov chain as an operator to evaluate the distribution of the pollution level in the long term. Initial state vector and state transition probability were used in forecasting the behavior of Air Pollution Index (API) that has been obtained from the observed frequency for one state shift to another. The study explores that regardless of the present status of API, in the long run, the index shows a probability of 0.9231 for a good state, and a moderate and unhealthy state with a probability of 0.0722 and 0.0037, while for very unhealthy and hazardous states a probability of 0.0001 and 0.0009. The outcome of this study reveals that the model development could be used as a forecasting method that able to help government to project a prevention action plan during hazy weather. Full article
(This article belongs to the Special Issue Sustainable Air Pollution Management)
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