Probability density functions describing 24-hour inhalation rates for use in human health risk assessments: An update and comparison

被引:32
作者
Allan, Margaret [1 ]
Richardson, G. Mark [2 ]
Jones-Otazo, Heather [3 ]
机构
[1] Matrix Sollut Inc, Calgary, AB T2P 0C5, Canada
[2] Hlth Canada, Ottawa, ON K1A 0L2, Canada
[3] Hlth Canada, Toronto, ON, Canada
来源
HUMAN AND ECOLOGICAL RISK ASSESSMENT | 2008年 / 14卷 / 02期
关键词
daily inhalation rates; time-activity-ventilation; human exposure factors; probability density functions; Monte Carlo simulation; metabolic equivalents;
D O I
10.1080/10807030801934796
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Inhalation rates are used for quantifying inhalation health risks. The time-activity-ventilation (TAV) approach has had longstanding acceptance for estimating inhalation rate (IR) as a time-weighted average across a number of activity levels comprising a typical day. Probability density functions (PDFs) describing 24-hour inhalation rates were updated in this study by incorporating supplemental minute volume (Vi) and time-activity (ti) data published since the time of the previous study and by correlating Vi with metabolic equivalents (METs) for the physical activities at the time of measurement. The metabolic correlations are an improvement over the previous study because they enable interpolation to fill data gaps where Vi data are sparse or absent for certain age groups at specific levels of physical activity. The updated PDFs were developed using Monte Carlo simulation and can be described with log normal distributions. The updated PDFs were compared with IR distributions developed through two other approaches: the metabolic energy conversion (MEC) approach; and the doubly labeled water (DLW) approach. Compared to the previous TAV estimates, this study's PDFs suggest lower IR for toddlers and teenagers, higher IR for adults and seniors, and similar IR for infants and children.
引用
收藏
页码:372 / 391
页数:20
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