Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale
As global climate change accelerates, the need for precise and high-resolution carbon emission inventories becomes increasingly urgent, particularly in rapidly developing regions. This study introduces an advanced methodology for constructing regional-scale gridded anthropogenic CO2 emission invento...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-01-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2425182 |
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| author | Meiqi Xu Ge Han Zhipeng Pei Hongwei Yu Siwei Li Wei Gong |
| author_facet | Meiqi Xu Ge Han Zhipeng Pei Hongwei Yu Siwei Li Wei Gong |
| author_sort | Meiqi Xu |
| collection | DOAJ |
| description | As global climate change accelerates, the need for precise and high-resolution carbon emission inventories becomes increasingly urgent, particularly in rapidly developing regions. This study introduces an advanced methodology for constructing regional-scale gridded anthropogenic CO2 emission inventories, integrating the latest energy consumption data and remote sensing technologies. By systematically calculating emissions across various sectors and energy types, and utilizing Geographic Information System (GIS) for spatial distribution, we have generated a high-resolution emission map with a 1 km × 1 km grid. The accuracy of the map was validated through regression analysis with the Multi-resolution Emission Inventory for China (MEIC) dataset, ensuring its reliability. This work provides critical insights for targeted emission reduction strategies, contributing to the formulation of sustainable development policies that align with global climate objectives. |
| format | Article |
| id | doaj-art-0a0e44b2002c43fc9e20431341cbb741 |
| institution | OA Journals |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-0a0e44b2002c43fc9e20431341cbb7412025-08-20T02:38:21ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532025-01-0128111713010.1080/10095020.2024.2425182Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scaleMeiqi Xu0Ge Han1Zhipeng Pei2Hongwei Yu3Siwei Li4Wei Gong5Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaPerception and Effectiveness Assessment for Carbon-neutrality Efforts Engineering Research Center of Ministry of Education, Institute for Carbon Neutrality, Wuhan University, Wuhan, ChinaHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaAs global climate change accelerates, the need for precise and high-resolution carbon emission inventories becomes increasingly urgent, particularly in rapidly developing regions. This study introduces an advanced methodology for constructing regional-scale gridded anthropogenic CO2 emission inventories, integrating the latest energy consumption data and remote sensing technologies. By systematically calculating emissions across various sectors and energy types, and utilizing Geographic Information System (GIS) for spatial distribution, we have generated a high-resolution emission map with a 1 km × 1 km grid. The accuracy of the map was validated through regression analysis with the Multi-resolution Emission Inventory for China (MEIC) dataset, ensuring its reliability. This work provides critical insights for targeted emission reduction strategies, contributing to the formulation of sustainable development policies that align with global climate objectives.https://www.tandfonline.com/doi/10.1080/10095020.2024.2425182Energy balance tablecarbon emissionshigh-resolutionspatial allocation |
| spellingShingle | Meiqi Xu Ge Han Zhipeng Pei Hongwei Yu Siwei Li Wei Gong Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale Geo-spatial Information Science Energy balance table carbon emissions high-resolution spatial allocation |
| title | Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale |
| title_full | Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale |
| title_fullStr | Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale |
| title_full_unstemmed | Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale |
| title_short | Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale |
| title_sort | advanced method for compiling a high resolution gridded anthropogenic co2 emission inventory at a regional scale |
| topic | Energy balance table carbon emissions high-resolution spatial allocation |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2024.2425182 |
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