Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Browser

Observation and Modeling of Air Pollution

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Air, Climate Change and Sustainability".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4219

Share This Special Issue

Special Issue Editors

Dr. Md Firoz Khan

E-Mail Website
Guest Editor

Department of Environmental Management and Science, North South University, Dhaka 1229, Bangladesh
Interests: aerosol compositions; source apportionment; reactive gases; air quality monitoring; air quality modeling; legacy and emerging pollutants; aerosol–meteorology interaction; aerosol–health interaction

Dr. Ram Lal Verma

E-Mail Website
Guest Editor

Air Pollution Cluster, Regional Resource Center for Asia and the Pacific, Asian Institute of Technology, Pathum Thani 12120, Thailand
Interests: air pollution and transboundary issues; atmospheric aerosols; trace gases; climate science; climate change mitigation
Special Issues, Collections and Topics in MDPI journals

Dr. Nadim Khandaker

E-Mail Website
Guest Editor

Department of Civil and Environmental Engineering, North South University, Dhaka 1229, Bangladesh
Interests: arsenic mitigation and safe water supply; industrial wastewater treatment; renewable energy and energy; efficiency; engineering; public policy

Special Issue Information

Dear Colleagues,

Air quality is an environmental issue around the world. Changing air quality has recently become a daily phenomenon. It links broadly to climate change, agriculture, and farming and is deleterious to public health. Several volatile gases and particles are well referred to as climate pollutants and cause global warming. Reporting health interactions with air pollutants will potentially raise awareness among the people. It has been claimed by aerosol scientists that a 9 million death burden occurs yearly due to poor air quality. People in developing countries inhale poor air that exceeds the guidelines proposed by the world health organization (WHO). A margin of two years and eight months of life expectancy has been lost globally due to exposure to polluted air. The monitoring and appropriate management policy may assist the regulatory bodies in the countries affected to protect public health. Thus, the scope of this Special Issue will be a broader public interest, and the articles will be timely and worthy of future citation.

A Special Issue named “Observation and Management of Aerosols and Gaseous Air Pollution” has been proposed to launch soon under the journal Sustainability. The Issue will broadly but precisely cover the topic of interest in aerosol and volatile compositions in air pollution. Aerosols, their compositions, and volatile gases appropriately indicate the quality of air and possible health damage in the source locations. This Special Issue will reach out to the authors interested in air quality measurement and modeling. This Issue will also be a unique platform for the potential authors and readers as there is no existing literature journal that precisely addresses the size of aerosol and gas compositions and modeling

Dr. Md Firoz Khan
Dr. Ram Lal Verma
Dr. Nadim Khandaker
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

aerosol
black carbon
volatile toxic gases
meteorology
biomass burning
health effects
receptor modeling

Published Papers (3 papers)

Download All Papers

Research

27 pages, 6122 KiB

Open AccessArticle

Accuracy Assessment of WRF Model in the Context of Air Quality Modeling in Complex Terrain

by Mateusz Rzeszutek, Adriana Kłosowska and Robert Oleniacz

Sustainability 2023, 15(16), 12576; https://doi.org/10.3390/su151612576 - 18 Aug 2023

Viewed by 846

Abstract

Output data from the Weather Research and Forecasting (WRF) model are frequently used in air quality modeling for scientific, practical and regulatory purposes. Therefore, it is crucial to determine whether the accuracy of WRF predictions is suitable for application in air quality models on a local scale (<50 km) and in complex terrain. The presented research is unique because, to assess the accuracy of the WRF model, data from experimental data sets for the assessment of air quality models were used, which contained information about the actual conditions of selected meteorological parameters along the vertical profile of the atmosphere. The aim of the study was to conduct an evaluation of the WRF model using data derived from three field experiments designated to conduct air quality model evaluation studies for models such as AERMOD, ADMS or CALPUFF. Accuracy evaluation was carried out in relation to the grid resolution, station location (on-site and weather airport) and vertical profile of the atmosphere. Obtained results of the evaluation for temperature, wind speed and direction were analyzed with regard to the possibilities of application in air quality modeling systems. It was stated that the use of a grid with a resolution of 1 km generally resulted in statistically significantly lower values of errors for wind speed compared to a 4 km resolution. The outcomes of simulations for temperature and wind speed were sensitive with regard to the location. In on-site locations (complex terrain) significantly higher values of prediction errors (MB, MGE, RMSE) were obtained compared to the standard weather station locations (airport). In addition, wind speed predictions in on-site locations were generally biased (overestimated). Along the vertical profile of the atmosphere, up to the altitude of 100 m a.g.l., statistically significantly different outcomes of accuracy evaluation were achieved for wind speed and direction. Considering the above, caution should be exercised when using data from meteorological simulations in air quality modeling. Full article

(This article belongs to the Special Issue Observation and Modeling of Air Pollution)

► Show Figures

Figure 1

17 pages, 1091 KiB

Open AccessArticle

The Sources of Polycyclic Aromatic Hydrocarbons in Road Dust and Their Potential Hazard

by Nurul Hidayah Hishamuddin, Md Firoz Khan, Hamidah Suradi, B. M. Zuhair Siraj, Md. Towhidul Islam, Nor Asrina Sairi, Hairul Anuar Tajuddin, Arniza Khairani Mohd Jamil, Md. Jahurul Haque Akanda and Sumiani Yusoff

Sustainability 2023, 15(16), 12532; https://doi.org/10.3390/su151612532 - 18 Aug 2023

Cited by 1 | Viewed by 1479

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants (POPs) found in the environment, posing significant health concerns for the population. This research aimed to assess the PAH levels in road dust near bus stops, identify their sources, and evaluate potential health risks. The analysis involved the use of a gas chromatography–flame ionization detector (GC-FID) to measure PAHs and absolute principal component score-multiple linear regression (APCS-MLR) for source apportionment of PAHs. The results indicated that the measured PAHs concentrations in road dust ranged from 137.8 to 5813 ng g⁻¹, with Indeno[1,2,3-c,d]pyrene having the highest PAHs concentrations. The study identified three main sources of PAHs such as oil spills, fuel combustion, and coal burning, determined through APCS-MLR modeling. Further analysis revealed that the aggregate incremental lifetime cancer risk (ILCR) for children and adults were 2.16 × 10⁻⁶ and 2.08 × 10⁻⁶, respectively. Additionally, the hazard index (HI) for children exceeded that of adults, suggesting greater vulnerability to the potential health effects of PAH exposure. The findings indicate that long-term exposure to PAHs may negatively impact lung function and increase the risk of cancer and skin diseases. As a result, it is crucial for the local government to implement effective measures aimed at improving fuel quality and promoting green public transportation within the city. These initiatives may help mitigate PAH emissions and safeguard public health. Full article

(This article belongs to the Special Issue Observation and Modeling of Air Pollution)

► Show Figures

Figure 1

17 pages, 1380 KiB

Open AccessArticle

Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases

by Mykola Dyvak, Iryna Spivak, Andriy Melnyk, Volodymyr Manzhula, Taras Dyvak, Artur Rot and Marcin Hernes

Sustainability 2023, 15(3), 2163; https://doi.org/10.3390/su15032163 - 24 Jan 2023

Cited by 11 | Viewed by 1379

Abstract

The article deals with the issue of modeling taking into consideration nitrogen dioxide pollution of the atmospheric surface layer caused by vehicle exhaust gases. The interval data analysis methods were suggested. The method of identifying the mathematical model of the distribution of nitrogen dioxide as an atmospheric air pollutant based on the analysis of data with known measurement errors was proposed and grounded for the first time. The obtained mathematical model in the form of a difference equation is characterized by the guaranteed accuracy of forecasting nitrogen dioxide concentrations in a specified area of the city. It also adequately takes into account traffic changes which significantly reduces the costs of environmental control and monitoring. The proposed new model identification method is more effective in terms of computational time complexity compared to the known method and it is based on taking into account measurement errors which in the final case provides predictive properties of the model with guaranteed accuracy. Full article

(This article belongs to the Special Issue Observation and Modeling of Air Pollution)

► Show Figures

Figure 1

Journal Menu

Journal Browser

Observation and Modeling of Air Pollution

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (3 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI