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Atmosphere
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Urban Carbon Emissions
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Urban Carbon Emissions

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (21 February 2025) | Viewed by 7218

Special Issue Editors

Prof. Dr. Linyu Xu

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Guest Editor
State Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, Beijing 100875, China
Interests: urban ecological environment; economic environmental management; environmental risk assessment; urban ecological planning
Special Issues, Collections and Topics in MDPI journals
Dr. Lei Chen

E-Mail
Guest Editor
Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China
Interests: industrial carbon emission evaluation; environment–energy system simulation; energy–water nexus analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With rapid urbanization worldwide, the amount of carbon emissions generated by urban activities has been rapidly increasing, which can have a significant impact on the global climate and environment.

The study of urban carbon emissions helps to better understand the sources and characteristics of these emissions, to develop appropriate policies and measures to reduce emissions, and to promote sustainable urban development. This is particularly important in rapidly developing countries, where urbanization and industrialization are occurring at high speeds, leading to a rapid increase in carbon emissions. Furthermore, more efficient and environmentally friendly energy sources and technologies are needed to promote the use of renewable energy and to reduce the greenhouse gas emissions in urban areas. Therefore, it is necessary to study urban carbon emissions to promote energy conservation and resource utilization efficiency and to achieve sustainable development.

Prof. Dr. Linyu Xu
Dr. Lei Chen
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. Atmosphere is an international peer-reviewed open access monthly 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

  • urbanization
  • carbon emissions
  • carbon footprints
  • resource and environmental management
  • energy consumption
  • city level

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Published Papers (5 papers)

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Research

20 pages, 258 KiB  
Article
Digital Infrastructure, New Digital Infrastructure, and Urban Carbon Emissions: Evidence from China
by Jiayun Nie, Jia Shen and Xiaohong Ren
Atmosphere 2025, 16(2), 199; https://doi.org/10.3390/atmos16020199 - 10 Feb 2025
Cited by 2 | Viewed by 1052
Abstract
To advance the global sustainable development agenda and uphold the emission reduction commitments of the Paris Agreement, this study is dedicated to exploring the potential of digital infrastructure construction in fostering carbon emission reductions. Drawing on panel data from 249 cities in China [...] Read more.
To advance the global sustainable development agenda and uphold the emission reduction commitments of the Paris Agreement, this study is dedicated to exploring the potential of digital infrastructure construction in fostering carbon emission reductions. Drawing on panel data from 249 cities in China spanning the period from 2010 to 2021, we empirically analyze the impact, mechanisms, and heterogeneous effects of digital infrastructure construction on urban carbon emissions using a two-way fixed-effect model. Furthermore, we delve into the carbon-reducing effects of new-type digital infrastructure construction. The research findings indicate that digital infrastructure construction can significantly decrease urban carbon emissions; it achieves this by enhancing urban green innovation and heightening public environmental awareness, thereby further reducing urban carbon emissions. In city samples located in western regions, with higher government fiscal expenditures and better foundations for new energy utilization, the promotional effect of digital infrastructure construction on urban carbon emission reductions is more pronounced. Additionally, new-type digital infrastructure construction demonstrates a significant reduction in urban carbon emissions, and where new-type digital infrastructure is well developed, the carbon-reducing effect of digital infrastructure is even more evident. This study deepens our understanding of the mechanisms through which digitization empowers carbon emission reductions and the regional variations involved, providing empirical evidence for governments to formulate differentiated policies on digital infrastructure construction and carbon emission reductions. In future research, we plan to expand the scope of our investigation to more countries and regions globally; concurrently, we will conduct an in-depth analysis of the long-term effects of digital infrastructure construction on carbon emissions. Full article
(This article belongs to the Special Issue Urban Carbon Emissions)
21 pages, 6027 KiB  
Article
The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China
by Zheng Wang, Kangkang Gu and Hu Yu
Atmosphere 2025, 16(1), 80; https://doi.org/10.3390/atmos16010080 - 14 Jan 2025
Viewed by 777
Abstract
Cities are of wide concern to scholars due to their major share of global carbon emissions. Energy-related carbon emissions differ significantly among cities, especially megacities, due to regional heterogeneity in socioeconomic conditions. To analyze the differences in influencing factors on carbon emissions within [...] Read more.
Cities are of wide concern to scholars due to their major share of global carbon emissions. Energy-related carbon emissions differ significantly among cities, especially megacities, due to regional heterogeneity in socioeconomic conditions. To analyze the differences in influencing factors on carbon emissions within megacities, and further target emission reductions, measures were developed. Beijing was selected to investigate influencing factor differences in the core zones, developing zones and ecological zones using the STIRPAT model on the county level. The results show the following: (1) Regional heterogeneity existed in Beijing in carbon emissions changes from 2010 to 2022. The carbon emissions of the core zones grew steadily and were demonstrated as a major part of Beijing. (2) There were variations in the influencing factors of emissions. Population size was the major driving factor of emissions in the core zones, while emissions in the developing zones and ecological zones were driven primarily by GDP per capita. Notably, urbanization promoted the increase in carbon emissions in the developing zones, but had a negative influence on emissions in the ecological zones. The energy intensity was the primary negative force of carbon emissions in the three zones. (3) The differences in population, economic scale, industrial structure and technological level lead to the heterogeneity of carbon emissions in Beijing. The three zones should formulate targeted emission reduction measures based on the primary factors of carbon emissions and their functional positioning. Full article
(This article belongs to the Special Issue Urban Carbon Emissions)
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26 pages, 6003 KiB  
Article
Seasonal Contributions and Influencing Factors of Urban Carbon Emission Intensity: A Case Study of Tianjin, China
by Tianchun Xiang, Jiang Bian, Yumeng Li, Yiming Gu, Yang Wang, Yahui Zhang and Junfeng Wang
Atmosphere 2024, 15(8), 947; https://doi.org/10.3390/atmos15080947 - 8 Aug 2024
Cited by 1 | Viewed by 1151
Abstract
The escalating concern over global warming has garnered significant international attention, with carbon emission intensity emerging as a crucial barrier to sustainable economic development across various regions. While previous studies have largely focused on annual scales, this study introduces a novel examination of [...] Read more.
The escalating concern over global warming has garnered significant international attention, with carbon emission intensity emerging as a crucial barrier to sustainable economic development across various regions. While previous studies have largely focused on annual scales, this study introduces a novel examination of Tianjin’s quarterly carbon emission intensity and its influencing factors from 2012 to 2022 using quarterly data and the Logarithmic Mean Divisia Index (LMDI) model. The analysis considers the carbon emission effects of thermal power generation, the power supply structure, power intensity effects, and economic activity intensity. The results indicate a general decline in Tianjin’s carbon emission intensity from 2012 to 2020, followed by an increase in 2021 and 2022. This trend, exhibiting significant seasonal fluctuations, revealed the highest carbon emission intensity in the first quarter (an average of 1.4093) and the lowest in the second quarter (an average of 1.0019). Economic activity intensity emerged as the predominant factor influencing carbon emission intensity changes, particularly notable in the second quarter (an average of −0.0374). Thermal power generation and electricity intensity effects were significant in specific seasons, while the power supply structure’s impact remained relatively minor yet stable. These findings provide essential insights for formulating targeted carbon reduction strategies, underscoring the need to optimize energy structures, enhance energy efficiency, and account for the seasonal impacts of economic activity patterns on carbon emissions. Full article
(This article belongs to the Special Issue Urban Carbon Emissions)
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21 pages, 4193 KiB  
Article
Study on Spatial-Temporal Evolution, Decoupling Effect and Influencing Factors of Tourism Transportation Carbon Emissions: Taking North China as an Example
by Dongni Feng, Cheng Li and Yangzhou Li
Atmosphere 2024, 15(6), 720; https://doi.org/10.3390/atmos15060720 - 15 Jun 2024
Cited by 2 | Viewed by 1282
Abstract
As global warming intensifies, reducing carbon emissions has become a global common mission. Tourism transportation is one of the important sources of carbon emissions, and reducing its carbon emissions is a key part of achieving China’s carbon reduction goals. Based on the panel [...] Read more.
As global warming intensifies, reducing carbon emissions has become a global common mission. Tourism transportation is one of the important sources of carbon emissions, and reducing its carbon emissions is a key part of achieving China’s carbon reduction goals. Based on the panel data of various provinces and cities in North China from 2000 to 2022, this paper calculates the carbon emissions of tourism transportation by using the carbon emission coefficients of different transportation modes in different segments. Moreover, the temporal and spatial evolution of the tourism economy is systematically analyzed. The Tapio decoupling model and LMDI addition decomposition model are used to analyze the relationship between carbon emissions and tourism economic growth and the effects of 11 influencing factors on carbon emissions. The results show that: (1) The carbon emission of tourism transportation in North China has experienced four stages: a steady growth period, a transitional adaptation period, a stable equilibrium period, and a drastic decline period. The overall carbon emission level of tourism transportation is as follows: Hebei Province > Shanxi Province > Inner Mongolia Autonomous Region > Beijing City > Tianjin City. (2) The decoupling coefficient between tourism traffic carbon emissions and economic development fluctuates but mainly shows a weak decoupling state. (3) In terms of influencing factors, passenger size and passenger density have the greatest impact on the carbon emissions of tourism transportation. Full article
(This article belongs to the Special Issue Urban Carbon Emissions)
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12 pages, 2631 KiB  
Article
Carbon Fluxes from Soils of “Ladoga” Carbon Monitoring Site Leningrad Region, Russia
by Evgeny Abakumov, Maria Makarova, Nina Paramonova, Viktor Ivakhov, Timur Nizamutdinov and Vyacheslav Polyakov
Atmosphere 2024, 15(3), 360; https://doi.org/10.3390/atmos15030360 - 15 Mar 2024
Cited by 2 | Viewed by 1713
Abstract
For the first time, data on the emission of climate-active gases from soils of different types of use of the south taiga sub-zone were obtained. Soils of the boreal belt are key elements of the global carbon cycle. They determine the sink and [...] Read more.
For the first time, data on the emission of climate-active gases from soils of different types of use of the south taiga sub-zone were obtained. Soils of the boreal belt are key elements of the global carbon cycle. They determine the sink and emission of climate-active gases. Soils near large cities are a major carbon sink, in the face of climate change, soils from sinks can become a source of carbon and contribute significantly to climate change on the planet. Studies of FCO2 and FCH4 fluxes were carried out on the territory of the monitoring site “Ladoga” located in the southern taiga subzone in soils of land not used in agriculture, former agriculture lands, and wetlands. During the chamber measurements, a portable gas analyzer GLA131-GGA (ABB, Canada) was used. The chamber was placed on the soil, after which the concentration of CO2, CH4 and H2O in the mobile chamber was recorded. As a result of the study it was found that the lowest emission of carbon dioxide is characteristic of soils developing on the soils of wetland and is 0.64 gCO2/(m2*year). Which is associated with a high degree of hydrophobicity of the territory and changes in the redox regime. The highest emission of carbon dioxide is registered in soils on the land not used in agriculture and is 4.16 gCO2/(m2*year). This is due to the formation of predominantly labile forms of carbon in the soil, which can be relatively rapidly involved in the carbon cycle and affect the active emission of carbon from the soil. According to the data obtained on FCH4 emission from soils, it was found that soils of land not used in agriculture and former agriculture lands were net sinks, while soils of wetlands were characterized by CH4 source, the emission was from 0.05 to 0.83 gCH4/(m2*year). The results obtained indicate spatial heterogeneity and changes in the carbon cycle within the monitoring site “Ladoga”, which are due to the change of plant communities and habitat type. Monitoring the release of important greenhouse gases in close proximity to major urban areas is an important task in the face of predicted climate change and increasing rates of urbanization. Full article
(This article belongs to the Special Issue Urban Carbon Emissions)
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