TY - JOUR
T1 - Global emission of black carbon from motor vehicles from 1960 to 2006
AU - Wang, Rong
AU - Tao, Shu
AU - Shen, Huizhong
AU - Wang, Xilong
AU - Li, Bengang
AU - Shen, Guofeng
AU - Wang, Bin
AU - Li, Wei
AU - Liu, Xiaopeng
AU - Huang, Ye
AU - Zhang, Yanyan
AU - Lu, Yan
AU - Ouyang, Huiling
PY - 2012/1/17
Y1 - 2012/1/17
N2 - Black carbon (BC) is a key short-lived climate change forcer. Motor vehicles are important sources of BC in the environment. BC emission factors (EF BC), defined as BC emitted per mass of fuel consumed, are critical in the development of BC emission inventories for motor vehicles. However, measured EF BC for motor vehicles vary in orders of magnitude, which is one of the major sources of uncertainty in the estimation of emissions. In this study, the main factors affecting EF BC for motor vehicles were investigated based on 385 measured EF BC collected from the literature. It was found that EF BC for motor vehicles of a given year in a particular country can be predicted using gross domestic product per capita (GDP c), temperature, and the year a country's GDP c reached 3000 USD (Y 3000). GDP c represents technical progress in terms of emission control, while Y 3000 suggest the technical transfer from developed to developing countries. For global BC emission calculations, 87 and 64% of the variation can be eliminated for diesel and gasoline vehicles by using this model. In addition to a reduction in uncertainty, the model can be used to develop a global on-road vehicle BC emission inventory with spatial and temporal resolution.
AB - Black carbon (BC) is a key short-lived climate change forcer. Motor vehicles are important sources of BC in the environment. BC emission factors (EF BC), defined as BC emitted per mass of fuel consumed, are critical in the development of BC emission inventories for motor vehicles. However, measured EF BC for motor vehicles vary in orders of magnitude, which is one of the major sources of uncertainty in the estimation of emissions. In this study, the main factors affecting EF BC for motor vehicles were investigated based on 385 measured EF BC collected from the literature. It was found that EF BC for motor vehicles of a given year in a particular country can be predicted using gross domestic product per capita (GDP c), temperature, and the year a country's GDP c reached 3000 USD (Y 3000). GDP c represents technical progress in terms of emission control, while Y 3000 suggest the technical transfer from developed to developing countries. For global BC emission calculations, 87 and 64% of the variation can be eliminated for diesel and gasoline vehicles by using this model. In addition to a reduction in uncertainty, the model can be used to develop a global on-road vehicle BC emission inventory with spatial and temporal resolution.
UR - https://www.scopus.com/pages/publications/84855930685
U2 - 10.1021/es2032218
DO - 10.1021/es2032218
M3 - 文章
C2 - 22185218
AN - SCOPUS:84855930685
SN - 0013-936X
VL - 46
SP - 1278
EP - 1284
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 2
ER -