Exposure to ambient black carbon derived from a unique inventory and high-resolution model.
Black carbon (BC) is increasingly recognized as a significant air pollutant with harmful effects on human health, either in its own right or as a carrier of other chemicals. The adverse impact is of particular concern in those developing regions with high emissions and a growing population density. The results of recent studies indicate that BC emissions could be underestimated by a factor of 2-3 and this is particularly true for the hot-spot Asian region. Here we present a unique inventory at 10-km resolution based on a recently published global fuel consumption data product and updated emission factor measurements. The unique inventory is coupled to an Asia-nested (∼50 km) atmospheric model and used to calculate the global population exposure to BC with fully quantified uncertainty. Evaluating the modeled surface BC concentrations against observations reveals great improvement. The bias is reduced from -88% to -35% in Asia when the unique inventory and higher-resolution model replace a previous inventory combined with a coarse-resolution model. The bias can be further reduced to -12% by downscaling to 10 km using emission as a proxy. Our estimated global population-weighted BC exposure concentration constrained by observations is 2.14 μg⋅m(-3); 130% higher than that obtained using less detailed inventories and low-resolution models.
Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, and Sino-French Institute for Earth System Science, Peking University, Beijing 100871, China.
Rong
R
Wang
Shu
S
Tao
Yves
Y
Balkanski
Philippe
P
Ciais
Olivier
O
Boucher
Junfeng
J
Liu
Shilong
S
Piao
Huizhong
H
Shen
Maria Raffaella
MR
Vuolo
Myrto
M
Valari
Han
H
Chen
Yuanchen
Y
Chen
Anne
A
Cozic
Ye
Y
Huang
Bengang
B
Li
Wei
W
Li
Guofeng
G
Shen
Bin
B
Wang
Yanyan
Y
Zhang
D000336:Aerosols / Q000737:chemistry*; D000393:Air Pollutants / Q000032:analysis*; D001272:Atmosphere; D002681:China; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D005843:Geography; D006801:Humans; D008962:Models, Theoretical; D053260:Soot / Q000032:analysis*
D000336:Aerosols; D000393:Air Pollutants; D053260:Soot
air pollution; climate change; emission inventory; model resolution