scholarly journals A quasi-stable molybdenum sub-oxide with abundant oxygen vacancies that promotes CO2 hydrogenation to methanol

2021 ◽  
Author(s):  
Yasutaka Kuwahara ◽  
Takashi Mihogi ◽  
Koji Hamahara ◽  
Kazuki Kusu ◽  
Hisayoshi Kobayashi ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Chemical Process ◽  
Fossil Fuels ◽  
Oxygen Vacancies ◽  
Co2 Hydrogenation ◽  
Environmental Burden ◽  
Anthropogenic Carbon ◽  
Anthropogenic Carbon Dioxide

Production of methanol from anthropogenic carbon dioxide (CO2) is a promising chemical process that can alleviate both the environmental burden and the dependence on fossil fuels. In catalytic CO2 hydrogenation...

State of the art and perspectives in heterogeneous catalysis of CO2 hydrogenation to methanol

2020 ◽  
Vol 49 (5) ◽  
pp. 1385-1413 ◽  
Author(s):  
Jiawei Zhong ◽  
Xiaofeng Yang ◽  
Zhilian Wu ◽  
Binglian Liang ◽  
Yanqiang Huang ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Heterogeneous Catalysis ◽  
Environmental Impacts ◽  
State Of The Art ◽  
Co2 Hydrogenation ◽  
Anthropogenic Carbon ◽  
Anthropogenic Carbon Dioxide

The ever-increasing amount of anthropogenic carbon dioxide (CO2) emissions has resulted in great environmental impacts, the heterogeneous catalysis of CO2 hydrogenation to methanol is of great significance.

scholarly journals Vegetation sensitivity to global anthropogenic carbon dioxide emissions in a topographically complex region

2003 ◽  
Vol 17 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Noah S. Diffenbaugh ◽  
Lisa C. Sloan ◽  
Mark A. Snyder ◽  
Jason L. Bell ◽  
Jed Kaplan ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Complex Region ◽  
Anthropogenic Carbon ◽  
Anthropogenic Carbon Dioxide

scholarly journals Spatial allocation of anthropogenic carbon dioxide emission statistics data fusing multi-source data based on Bayesian network

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianbin Tao ◽  
XiangBing Kong
Keyword(s):  
Carbon Dioxide ◽  
Land Cover ◽  
Point Source ◽  
Bayesian Network ◽  
Prior Knowledge ◽  
Carbon Dioxide Emissions ◽  
Spatial Allocation ◽  
Source Data ◽  
Anthropogenic Carbon ◽  
Anthropogenic Carbon Dioxide

AbstractA gridded social-economic data is essential for geoscience analysis and multidisciplinary application. Spatial allocation of carbon dioxide statistics data is an important issue in the context of global climate change, which involves the carbon emissions accounting and decomposition of responsibility for carbon emission reductions. In this research a new spatial allocation method for non-point source anthropogenic carbon dioxide emissions (ACDE) fusing multi-source data using Bayesian Network (BN) was introduced. In addition to common-used DMSP (Defense Meteorological Satellite Program), PD (population density) and GDP (Gross Domestic Production) data, the land cover and vegetation data was imported into the model as prior knowledge to optimize the model fitting. The prior knowledge here was based on the understanding that ACDE was dominated by human activities and has strong correlations with land cover and vegetation conditions. A 1 km gridded ACDE map integrated emissions form point-source and non-point source was generated and validated. The model predicts ACDE with high accuracies and great improvement can be observed when fusing land cover and vegetation as prior knowledge. The model can achieve successful statistics data downscaling on national scale provided adequate sample data are available, offering a novel method for ACDE accounting in China.

Copernicus CO2M mission: Status of the instrument suite for monitoring anthropogenic carbon dioxide emissions from space

2021 ◽  
Author(s):  
Yannig Durand ◽  
Grégory Bazalgette Courrèges-Lacoste ◽  
Charlotte Pachot ◽  
Luc Boucher ◽  
Arnaud Pasquet ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Anthropogenic Carbon ◽  
Anthropogenic Carbon Dioxide
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