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Journals
Atmosphere
Special Issues
Anthropic Activities and Greenhouse Gas Emission
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Anthropic Activities and Greenhouse Gas Emission

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

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 3664

Special Issue Editors

Dr. Bălănică Carmelia Dragomir

E-Mail Website
Guest Editor
Department of Chemistry, Universitatea Dunarea de Jos din Galati, 800201 Galati, Romania
Interests: aerosol; air pollution; air quality; CO2; NO2; waste treatment; environmental
Dr. Gabriel Murariu

E-Mail Website
Guest Editor
Department of Chemistry, Universitatea Dunarea de Jos din Galati, 800201 Galati, Romania
Interests: aerosol; air pollution; air quality; CO2; NO2; waste treatment; environment

Special Issue Information

Dear Colleagues,

Understanding the atmospheric chemistry of greenhouse gases is required to precisely quantify the correlation among human activities and climate. Industrialization and land-use modification have undoubtedly determined, in the greatest measure, the greenhouses gas emission increases, although natural emissions and sinks should not be omitted.

The purpose of this Special Issue is to present an overview of the scientific perspectives, current research, and forthcoming perspectives regarding greenhouse gases, mechanisms, and consequences in climate change and weather models at global and regional scales. Relevant research and additional studies are expected on the condition that they are precisely provided and properly evaluated. The contributions to this Special Issue contain a broad range of topics in anthropic activities and greenhouses gas emission including, but not limited to:

  • Greenhouse gas emissions and concentrations and their impacts on human health, forests, and terrestrial and aquatic ecosystems;
  • The impact of greenhouse gases on agriculture, water resources;
  • Monitoring the past and recent contributions of emissions sources;
  • Disrupting people's lives and damaging some sectors of the economy;
  • Deforestation and other changes in land use management.

Dr. Bălănică Carmelia Dragomir
Dr. Gabriel Murariu
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

  • air pollution
  • greenhouse gases
  • anthropogenic pollution
  • global warming
  • economic activities

Published Papers (2 papers)

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Research

20 pages, 19243 KiB  
Article
Dynamic Prediction and Driving Factors of Carbon Emission in Beijing, China, under Carbon Neutrality Targets
by Yunyan Li, Jian Dai, Shuo Zhang and Hua Cui
Atmosphere 2023, 14(5), 798; https://doi.org/10.3390/atmos14050798 - 27 Apr 2023
Cited by 2 | Viewed by 1632
Abstract
China has made remarkable achievements in reducing carbon emissions in recent years. However, there is still much reduction room before achieving carbon neutrality. In Beijing, the capital of China, it is a strategic choice to respond to global climate change by promoting green [...] Read more.
China has made remarkable achievements in reducing carbon emissions in recent years. However, there is still much reduction room before achieving carbon neutrality. In Beijing, the capital of China, it is a strategic choice to respond to global climate change by promoting green and low-carbon development. This paper calculates the carbon dioxide emissions of key industries in Beijing and analyzes the temporal evolution trend of carbon emissions. Carbon dioxide emissions in Beijing before 2030 are predicted based on the grey prediction GM (1,1) and BP neural network model. The effects of factors of carbon dioxide emissions are discussed using the threshold regression model under different economic conditions. The results show that energy consumption intensity, GDP per capita, and the ownership of civil cars have a positive impact on carbon dioxide emissions, while the number of permanent residents and urban green space areas have a negative impact on carbon dioxide emissions. These findings of carbon emission prediction and influencing factors contribute to carbon reduction path design. Related policy implications on carbon emission reduction are put forward from the aspects of promoting industrial upgrading, accelerating the construction of advanced economic structures, optimizing transportation structures, and strengthening green building development. Full article
(This article belongs to the Special Issue Anthropic Activities and Greenhouse Gas Emission)
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18 pages, 6340 KiB  
Article
Spatio-Temporal Variation of Carbon Emission Intensity and Spatial Heterogeneity of Influencing Factors in the Yangtze River Delta
by Jianhui Xu, Yuanyuan Li, Feng Hu, Li Wang, Kai Wang, Wenhao Ma, Ning Ruan and Weizong Jiang
Atmosphere 2023, 14(1), 163; https://doi.org/10.3390/atmos14010163 - 12 Jan 2023
Cited by 2 | Viewed by 1438
Abstract
The Yangtze River Delta plays an important strategic role in China’s economic development pattern, and its carbon emission intensity, which reflects the development of a low-carbon economy, has attracted much attention. From the perspective of the city-level, this study uses the coefficient of [...] Read more.
The Yangtze River Delta plays an important strategic role in China’s economic development pattern, and its carbon emission intensity, which reflects the development of a low-carbon economy, has attracted much attention. From the perspective of the city-level, this study uses the coefficient of variation, spatial autocorrelation and the Multi-scale Geographically Weighted Regression (MGWR) model to study the spatio-temporal characteristics of carbon emission intensity in the Yangtze River Delta from 1997 to 2017 and the spatial heterogeneity of its influencing factors. The results indicated that: (1) the carbon emission intensity in the Yangtze River Delta increased first and then decreased during the sample period, and the number of low-carbon emission intensity zones decreased first and then increased. (2) Through the coefficient of variation analysis, it is known that the ratio of nugget value to base value is much less than 25%, indicating that the correlation between the cities in the Yangtze River Delta is becoming more and more obvious, the spatial difference is becoming smaller, and the integration level is growing higher and higher. (3) The carbon emission intensity of the Yangtze River Delta has a strong positive spatial correlation, and the carbon emission intensity of the Yangtze River Delta decreases from the north to the south. (4) The effect of population size on carbon emission intensity is bidirectional, but the inhibition effect is greater than the promotion effect, and the average regression coefficient is −0.0796; the average regression coefficient of economic development level is 0.3674, and the average regression coefficient of industrial structure is 0.1702, both of which have a positive impact on carbon emission intensity. The degree of urbanization has a bidirectional effect, and the regression coefficient ranges from −0.920 to 0.091, and the negative effect is quite strong. Additionally, each factor has spatial heterogeneity. Full article
(This article belongs to the Special Issue Anthropic Activities and Greenhouse Gas Emission)
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