Exposure to ambient black carbon derived from a unique inventory and high-resolution model | |
Wang, Rong ; Tao, Shu ; Balkanski, Yves ; Ciais, Philippe ; Boucher, Olivier ; Liu, Junfeng ; Piao, Shilong ; Shen, Huizhong ; Vuolo, Maria Raffaella ; Valari, Myrto ; Chen, Han ; Chen, Yuanchen ; Cozic, Anne ; Huang, Ye ; Li, Bengang ; Li, Wei ; Shen, Guofeng ; Wang, Bin ; Zhang, Yanyan | |
刊名 | proceedings of the national academy of sciences of the united states of america
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2014 | |
关键词 | air pollution climate change model resolution emission inventory PARTICULATE MATTER AEROSOL EMISSIONS COAL COMBUSTION GLOBAL EMISSION FINE-PARTICLE CHINESE CITY ASSOCIATIONS STOVES GASES |
DOI | 10.1073/pnas.1318763111 |
英文摘要 | 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 (similar to 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 mu g.m(-3); 130% higher than that obtained using less detailed inventories and low-resolution models.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000331396500022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Multidisciplinary Sciences; SCI(E); PubMed; 33; ARTICLE; taos@pku.edu.cn; 7; 2459-2463; 111 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/160588] ![]() |
专题 | 城市与环境学院 |
推荐引用方式 GB/T 7714 | Wang, Rong,Tao, Shu,Balkanski, Yves,et al. Exposure to ambient black carbon derived from a unique inventory and high-resolution model[J]. proceedings of the national academy of sciences of the united states of america,2014. |
APA | Wang, Rong.,Tao, Shu.,Balkanski, Yves.,Ciais, Philippe.,Boucher, Olivier.,...&Zhang, Yanyan.(2014).Exposure to ambient black carbon derived from a unique inventory and high-resolution model.proceedings of the national academy of sciences of the united states of america. |
MLA | Wang, Rong,et al."Exposure to ambient black carbon derived from a unique inventory and high-resolution model".proceedings of the national academy of sciences of the united states of america (2014). |
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