气候变化领域集成服务门户(CCPortal): Using publicly available data and quantitative models of uncertainty to characterize composition of consumer products in a simulation model of chemical exposure

CCPortal

	Using publicly available data and quantitative models of uncertainty to characterize composition of consumer products in a simulation model of chemical exposure
	Price, Paul; Dionisio, Kathie; Isaacs, Kristin; Phillips, Katherine
发表日期	2018-08-19
ISSN	0065-7727
卷号	256
语种	英语
WOS记录号	WOS:000447600000369
来源期刊	ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
来源机构	美国环保署
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/62560
作者单位	US EPA, ORD, Res Triangle Pk, NC USA
推荐引用方式 GB/T 7714	Price, Paul,Dionisio, Kathie,Isaacs, Kristin,et al. Using publicly available data and quantitative models of uncertainty to characterize composition of consumer products in a simulation model of chemical exposure[J]. 美国环保署,2018,256.
APA	Price, Paul,Dionisio, Kathie,Isaacs, Kristin,&Phillips, Katherine.(2018).Using publicly available data and quantitative models of uncertainty to characterize composition of consumer products in a simulation model of chemical exposure.ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY,256.
MLA	Price, Paul,et al."Using publicly available data and quantitative models of uncertainty to characterize composition of consumer products in a simulation model of chemical exposure".ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256(2018).