TY - JOUR
T1 - A two-level comparison of CO2 emission data in China
T2 - Evidence from three gridded data sources
AU - Wang, Mingshu
AU - Cai, Bofeng
PY - 2017/4/1
Y1 - 2017/4/1
N2 - Carbon dioxide (CO2) emissions from fossil-fuel combustion are a global concern, and since 2007, China has become the nation with the highest amount of CO2 emissions. In order to understand China's carbon science research and reduction policies, it is crucial to benchmark CO2 emission estimates from different sources at multiple administrative levels. Therefore, this paper firstly compares the Emission Database for Global Atmospheric Research (EDGAR), the Fossil Fuel Data Assimilation System (FFDAS), and the China High Resolution Emission Gridded Data (CHRED) against energy census data from the National Bureau of Statistics of China (NBSC) at the province level. Results revealed that CHRED—today's finest resolution and most bottom-up approach of CO2 emission estimation in China—is the most consistent dataset with NBSC among the three (with both Pearson's R and Kendall's τ of 0.86). Secondly, EDGAR and FFDAS are compared with CHRED at the prefectural level. Finally, empirical models were developed to reconcile EDGAR and FFDAS with CHRED at both province and prefectural levels to facilitate future longitudinal studies of CO2 emissions in China.
AB - Carbon dioxide (CO2) emissions from fossil-fuel combustion are a global concern, and since 2007, China has become the nation with the highest amount of CO2 emissions. In order to understand China's carbon science research and reduction policies, it is crucial to benchmark CO2 emission estimates from different sources at multiple administrative levels. Therefore, this paper firstly compares the Emission Database for Global Atmospheric Research (EDGAR), the Fossil Fuel Data Assimilation System (FFDAS), and the China High Resolution Emission Gridded Data (CHRED) against energy census data from the National Bureau of Statistics of China (NBSC) at the province level. Results revealed that CHRED—today's finest resolution and most bottom-up approach of CO2 emission estimation in China—is the most consistent dataset with NBSC among the three (with both Pearson's R and Kendall's τ of 0.86). Secondly, EDGAR and FFDAS are compared with CHRED at the prefectural level. Finally, empirical models were developed to reconcile EDGAR and FFDAS with CHRED at both province and prefectural levels to facilitate future longitudinal studies of CO2 emissions in China.
KW - Benchmark
KW - China
KW - CHRED
KW - CO
KW - EDGAR
KW - FFDAS
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2017/isi/wang_two.pdf
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1016/j.jclepro.2017.02.003
U2 - 10.1016/j.jclepro.2017.02.003
DO - 10.1016/j.jclepro.2017.02.003
M3 - Article
AN - SCOPUS:85014867818
SN - 0959-6526
VL - 148
SP - 194
EP - 201
JO - Journal of cleaner production
JF - Journal of cleaner production
ER -