In the context of climate change, it is crucial to examine the contributions of leading countries in greenhouse gas (GHG) emissions. This research provides an overview of global GHG emissions from 1970 to 2022 for the world's most polluting countries: the United States, China, India, Russia, Brazil, Indonesia, Japan, Iran, Mexico, and Saudi Arabia. These countries collectively account for approximately 64% of GHG emissions. The aim is to understand the impact of various economic sectors, such as industry, energy, agriculture, and transportation, on overall emissions. The analysis highlights the disparity in per capita emissions, with smaller but major oil-producing countries in the Persian Gulf, such as Qatar and the United Arab Emirates, exhibiting high per capita emission levels, while more populated countries like the United States and South Korea show lower per capita values but significant total emission volumes. The study suggests that transitioning to renewable energy, improving energy efficiency in industry, promoting sustainable agriculture, reforestation, and electrifying transportation are key methods to achieve United Nations Sustainable Development Goals (UN SDG). Recommendations include encouraging technological innovations, implementing stringent government regulations and standards, and garnering active support for GHG reduction programs from governments, financial institutions, and the business community. The urgency is emphasized for global efforts to combat climate change for ensuring a sustainable future.
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http://dx.doi.org/10.1016/j.scitotenv.2024.173895 | DOI Listing |
Anim Front
December 2024
Livestock Nutrient Management Research Unit, USDA-ARS, Bushland, TX 79012, USA.
Rapid urbanization and escalating climate crises place cities at the critical juncture of environmental and public health action. Urban areas are home to more than half of the global population, contributing ~ 75% of global greenhouse gas emissions. Structured surveys were completed by 191 leaders in city governments and civil society from 118 cities in 52 countries (February-April 2024).
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Physics, Indian Institute of Technology Indore, Simrol 453552, India.
Electronic devices cover a large subset of daily life gadgets which use power to run, hence increasing the load of the energy needs and indirectly impacting greenhouse gas emissions. Smart electrochromic windows provide a solution to this through remarkable energy saving by adjusting optical behavior depending on the environmental conditions. Since the electrochromic windows also need power to run, a self-powered electrochromic panel will be a better solution.
View Article and Find Full Text PDFACS Sens
January 2025
College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to screen gas sensor materials for detecting GHGs. In this study, we propose an ideal gas sensor design strategy with high screening efficiency and low cost targeting four typical GHGs (CO, CH, NO, SF). This strategy introduces machine learning (ML) methods based on density functional theory (DFT) to achieve accurate and rapid screening from a large number of candidate gas sensor materials.
View Article and Find Full Text PDFEnergy Clim Chang
December 2024
South China University of Technology, School of Future Technology, 777 Xingye Ave East, Panyu District, Guangzhou, Guangdong, 511442, China.
Hydrogen can be used as an energy carrier and chemical feedstock to reduce greenhouse gas emissions, especially in difficult-to-decarbonize markets such as medium- and heavy-duty vehicles, aviation and maritime, iron and steel, and the production of fuels and chemicals. Significant literature has been accumulated on engineering-based assessments of various hydrogen technologies, and real-world projects are validating technology performance at larger scales and for low-carbon supply chains. While energy system models continue to be updated to track this progress, many are currently limited in their representation of hydrogen, and as a group they tend to generate highly variable results under decarbonization constraints.
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