Evaluating Human Exposure to Fine Particulate Matter Part II: Modeling

被引:6
|
作者
Millar, Gail [1 ]
Abel, Tyler [1 ]
Allen, Janice [1 ]
Barn, Prabjit [2 ]
Noullett, Melanie [1 ]
Spagnol, John [1 ]
Jackson, Peter L. [1 ]
机构
[1] Univ Northern British Columbia, Environm Sci & Engn, 3333 Univ Way, Prince George, BC V2N 4Z9, Canada
[2] BC Ctr Dis Control, Environm Hlth Div, Vancouver, BC, Canada
来源
GEOGRAPHY COMPASS | 2010年 / 4卷 / 07期
关键词
D O I
10.1111/j.1749-8198.2010.00344.x
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Exposure modeling has become a fundamental component of exposure analysis as it provides an efficient and economical means for assessing exposure of individuals to populations over a variety of spatial and temporal scales for past, current, future, or hypothetical conditions. For airborne particulate matter, traditional modeling approaches typically utilize ambient concentration data to assign exposure levels across an area of interest for a given period of time. Technological advancements have allowed for more sophisticated and innovative modeling approaches that combine exposure measurements and/or models to integrate the strengths of individual methods. The purpose of this article is to provide a general overview of both conventional and novel approaches of modeling exposure to fine particulate matter.
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页码:731 / 749
页数:19
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