School of Public Administration, Southwestern University of Finance and Economics, Chengdu, China.
Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia.
Sci Rep. 2021 Feb 8;11(1):3323. doi: 10.1038/s41598-021-81754-y.
Accurate, long-term, full-coverage carbon dioxide (CO) data in units of prefecture-level cities are necessary for evaluations of CO emission reductions in China, which has become one of the world's largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program's Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China's future CO research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.
准确、长期、全覆盖的地级市二氧化碳（CO）数据对于评估中国的 CO 减排至关重要，中国已成为世界上最大的碳排放国之一。本研究开发了一种新的方法来匹配基于卫星的国防气象卫星计划的业务陆地卫星系统（DMSP/OLS）和苏米国家极地轨道伙伴关系的可见红外成像辐射计套件（NPP/VIIRS）夜间灯光数据，并估计了 1992 年至 2017 年中国 334 个地级市的 CO 排放量。结果表明，东部和沿海地区的碳排放较高，但碳强度下降速度比其他地区更快。与之前的研究相比，我们提供了迄今为止最广泛和长期的 CO 数据集，这些数据对于进一步的社会经济研究将具有重要价值。具体来说，该数据集为中国未来的 CO 研究和减排战略提供了基础数据源。此外，该方法可应用于世界其他地区。
