County-level CO2 emissions and sequestration in China during 1997–2017

By Jiandong Chen, M. Gao, Shulei Cheng, Wenxuan Hou, M. Song, Xin Liu, Yu Liu, Yuli Shan. Scientific Data, 2020

727 citations recorded by the source corpus.

With the implementation of China’s top-down CO 2 emissions reduction strategy, the regional differences should be considered. As the most basic governmental unit in China, counties could better capture the regional heterogeneity than provinces and prefecture-level city, and county-level CO 2 emissions could be used for the development of strategic policies tailored to local conditions. However, most of the previous accounts of CO 2 emissions in China have only focused on the national, provincial, or city levels, owing to limited methods and smaller-scale data. In this study, a particle swarm optimization-back propagation (PSO-BP) algorithm was employed to unify the scale of DMSP/OLS and NPP/VIIRS satellite imagery and estimate the CO 2 emissions in 2,735 Chinese counties during 1997–2017. Moreover, as vegetation has a significant ability to sequester and reduce CO 2 emissions, we calculated the county-level carbon sequestration value of terrestrial vegetation. The results presented here can contribute to existing data gaps and enable the development of strategies to reduce CO 2 emissions in China. Measurement(s) carbon dioxide emission • carbon dioxide sequestration Technology Type(s) machine learning Factor Type(s) temporal interval • geographic location Sample Characteristic - Environment carbon dioxide Sample Characteristic - Location China Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13090370

Subfields: Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/dbcf9e49e609aa8d5ab82347ad475ba6ef77722d