Urban Air Quality and Greenhouse Gases

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (30 October 2022) | Viewed by 5756

Special Issue Editor


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Guest Editor
Climate Change & Environment Research Center, Sejong University, Seoul 05006, Korea
Interests: climate change; greenhouse gases; fine particulate matters; PM 2.5 secondary source
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Greenhouse gases can lead to changes in the environment caused by rising air temperatures, changes in rainfall, weather fluctuations such as heavy rain and drought, and can have a major impact on people's health. Accordingly, efforts are being made to reduce greenhouse gases, which are the main cause of climate change, worldwide.

Air pollutants, especially fine particle matter, have a bad enough effect on health to be classified as group 1 carcinogens by the World Health Organization (WHO). Some studies suggest that climate change is correlated with increasing levels of ozone (O3) and fine particulate matter, especially air pollutants. Air pollutants from urban areas share emission sources such as waste incineration facilities and automobile emissions that emit greenhouse gases. Temperature rise due to climate change reduces the mixing of the atmosphere up and down, which can increase the concentration of fine particle matter in the atmosphere. Therefore, the issues of climate change and air pollutants cannot be considered separately, and many related studies are needed to advance to a more sustainable society. This Special Issue will collect studies concerning solutions for improving and managing climate change or urban air quality. Topics related to this Special Issue are as follows: emission inventory, emission reduction, development of emission factors, urban air quality, and management of emission sources. Original papers relating to the above topics and dealing with general methodologies, numerical, and experimental investigations, and case studies addressing sustainable management in greenhouses and urban air quality are welcome. Thank you for your contributions.

Dr. Seongmin Kang
Guest Editor

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Keywords

  • secondary sources of fine particle matter
  • emission inventory
  • emission source sustainable management
  • greenhouse gases
  • urban air quality

Published Papers (2 papers)

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Research

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13 pages, 2429 KiB  
Article
CO2 and CH4 Emission Factors from Light-Duty Vehicles by Fuel Types in Thailand
by Duanpen Sirithian, Pantitcha Thanatrakolsri and Surangrat Pongpan
Atmosphere 2022, 13(10), 1588; https://doi.org/10.3390/atmos13101588 - 28 Sep 2022
Cited by 3 | Viewed by 3282
Abstract
Correct emission factors are necessary for evaluating vehicle emissions and making proper decisions to manage air pollution in the transportation sector. In this study, using a chassis dynamometer at the Automotive Emission Laboratory, CO2 and CH4 emission factors of light-duty vehicles [...] Read more.
Correct emission factors are necessary for evaluating vehicle emissions and making proper decisions to manage air pollution in the transportation sector. In this study, using a chassis dynamometer at the Automotive Emission Laboratory, CO2 and CH4 emission factors of light-duty vehicles (LDVs) were developed by fuel types and driving speeds. The Bangkok driving cycle was used for the vehicle’s running and controlling under the standard procedure. Results present that the highest average CO2 and CH4 emission factors were emitted from LDG vehicles, at 232.25 g/km and 9.50 mg/km, respectively. The average CO2 emission factor of the LDD vehicles was higher than that of the LDG vehicles, at 182.53 g/km and 171.01 g/km, respectively. Nevertheless, the average CH4 emission factors of the LDD vehicles were lower than those of the LDG vehicles, at 2.21 mg/km and 3.02 mg/km, respectively. The result reveals that the lower driving speed emitted higher CO2 emission factors for LDVs. It reflects the higher fuel consumption rate (L/100 km) and the lower fuel economy rate (km/L). Moreover, the portion of CO2 emissions emitted from LDVs was 99.96% of total GHG emissions. The CO2 and CH4 emission factors developed through this study will be used to support the greenhouse gas reduction policies, especially concerning the CO2 and CH4 emitted from vehicles. Furthermore, it can be used as a database that encourages Thailand’s green transportation management system. Full article
(This article belongs to the Special Issue Urban Air Quality and Greenhouse Gases)
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Review

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15 pages, 1585 KiB  
Review
Vehicle Pollutant Dispersion in the Urban Atmospheric Environment: A Review of Mechanism, Modeling, and Application
by Mingzhang Liang, Ye Chao, Yu Tu and Te Xu
Atmosphere 2023, 14(2), 279; https://doi.org/10.3390/atmos14020279 - 30 Jan 2023
Cited by 5 | Viewed by 2060
Abstract
In recent years, vehicle emissions have become one of the important pollutant sources of the urban atmosphere. Scholars and decision-makers are constantly expected to accurately grasp the dispersion of vehicle pollutants to formulate a series of policies and strategies which can facilitate a [...] Read more.
In recent years, vehicle emissions have become one of the important pollutant sources of the urban atmosphere. Scholars and decision-makers are constantly expected to accurately grasp the dispersion of vehicle pollutants to formulate a series of policies and strategies which can facilitate a friendly and sustainable urban environment, such as controlling the total number of vehicles, requiring higher emission standards, promoting new energy vehicles, improving public transit service, and optimizing non-motorized transportation systems. This paper provides a review of the mechanism research methods and mathematical modeling approaches for urban vehicle pollutant dispersion. The mechanism research methods reviewed include field measurements, wind tunnel experiments, and numerical simulations. The modeling approaches involve two kinds of popular models: Box models (STREET, CPBM, AURORA, PBM) and Gaussian models (CALINE, HIWAY, OSPM, CALPUFF, R-LINE, ADMS series, EPISODE, CityChem, SIRANE, MUNICH). Moreover, this paper clarifies the basic assumption, fundamental principle, related research, applicable conditions, and limitations of these mechanism research methods and modeling approaches. Full article
(This article belongs to the Special Issue Urban Air Quality and Greenhouse Gases)
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