TY - JOUR
T1 - High-resolution simulation of wintertime fossil fuel CO2 in Beijing, China
T2 - Characteristics, sources, and regional transport
AU - Feng, Tian
AU - Zhou, Weijian
AU - Wu, Shugang
AU - Niu, Zhenchuan
AU - Cheng, Peng
AU - Xiong, Xiaohu
AU - Li, Guohui
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/2/1
Y1 - 2019/2/1
N2 - In this study, a high-resolution simulation of fossil fuel CO2 in Beijing and surrounding areas, China, during January 2014 is performed to investigate the characteristics and sources of Beijing fossil fuel CO2 (FFCO2) mixing ratios and the impact of regional transport. The model reasonably reproduces the observed meteorological fields in the study domain, including temperature, relative humidity, wind speed, and wind direction. The simulated CO2 and CO mixing ratios in Beijing are in good agreement with the measurements. Elevated FFCO2 levels are produced by the model in megacities, such as Beijing, Tianjin, Shijiazhuang, and Baoding. The model result shows that FFCO2 mixing ratios are significantly correlated with observed total CO2, CO, and PM2.5 concentrations in Beijing. Sensitivity experiments show that Beijing FFCO2 is mainly from industry and residential emissions (35% for each), followed by power plant (21%) and transportation (9%) emissions in January 2014. Spatially, the largest contributor for Beijing FFCO2 is the local source, and regional transport also plays an important role in winter. The impact of regional transport is associated with wind direction, in which south/east (north/west) wind tends to accumulate (dilute) Beijing FFCO2. In addition, the roles of regional transport during haze and clean episodes are significantly distinct in winter, and more contribution is found in haze episodes.
AB - In this study, a high-resolution simulation of fossil fuel CO2 in Beijing and surrounding areas, China, during January 2014 is performed to investigate the characteristics and sources of Beijing fossil fuel CO2 (FFCO2) mixing ratios and the impact of regional transport. The model reasonably reproduces the observed meteorological fields in the study domain, including temperature, relative humidity, wind speed, and wind direction. The simulated CO2 and CO mixing ratios in Beijing are in good agreement with the measurements. Elevated FFCO2 levels are produced by the model in megacities, such as Beijing, Tianjin, Shijiazhuang, and Baoding. The model result shows that FFCO2 mixing ratios are significantly correlated with observed total CO2, CO, and PM2.5 concentrations in Beijing. Sensitivity experiments show that Beijing FFCO2 is mainly from industry and residential emissions (35% for each), followed by power plant (21%) and transportation (9%) emissions in January 2014. Spatially, the largest contributor for Beijing FFCO2 is the local source, and regional transport also plays an important role in winter. The impact of regional transport is associated with wind direction, in which south/east (north/west) wind tends to accumulate (dilute) Beijing FFCO2. In addition, the roles of regional transport during haze and clean episodes are significantly distinct in winter, and more contribution is found in haze episodes.
KW - Fossil fuel CO
KW - PM
KW - Regional transport
KW - WRF-Chem
UR - https://www.scopus.com/pages/publications/85056184138
U2 - 10.1016/j.atmosenv.2018.10.054
DO - 10.1016/j.atmosenv.2018.10.054
M3 - 文章
AN - SCOPUS:85056184138
SN - 1352-2310
VL - 198
SP - 226
EP - 235
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -