Quantifying the distribution of inhalation exposure in human populations: Distribution of minute volumes in adults and children

被引:13
作者
Beals, JAJ [1 ]
Funk, LM [1 ]
Fountain, R [1 ]
Sedman, R [1 ]
机构
[1] PORTLAND STATE UNIV, DEPT MATH SCI, PORTLAND, OR 97207 USA
关键词
exposure; inhalation; minute volume; Monte Carlo; probabilistic; risk assessment;
D O I
10.2307/3433145
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assessments of inhalation exposure to environmental agents necessitate quantitative estimates of pulmonary ventilation rates. Estimating a range of exposures in a given population requires an understanding of the variability of ventilation rates in the population. Distributions of ventilation rates (Ve) were described based on the results of a large study where Ve were measured while subjects performed a variety of physical tasks. Three distinct ventilation levels were identified using cluster analyses of the mean Ve and then various activities were assigned to the three levels using a k-means procedure. Separate distributions were identified for the three Ve levels for adult males, adult females, and children. The variability of Ve was consistent with a lognormal distribution for all groups. An aggregate daily inhalation rate can be estimated based on the distributions of Ve.
引用
收藏
页码:974 / 979
页数:6
相关论文
共 33 条
[11]   THE BENEFITS OF PROBABILISTIC EXPOSURE ASSESSMENT - 3 CASE-STUDIES INVOLVING CONTAMINATED AIR, WATER, AND SOIL [J].
FINLEY, B ;
PAUSTENBACH, D .
RISK ANALYSIS, 1994, 14 (01) :53-73
[12]   RECOMMENDED DISTRIBUTIONS FOR EXPOSURE FACTORS FREQUENTLY USED IN HEALTH RISK ASSESSMENT [J].
FINLEY, B ;
PROCTOR, D ;
SCOTT, P ;
HARRINGTOIN, N ;
PAUSTENBACH, D ;
PRICE, P .
RISK ANALYSIS, 1994, 14 (04) :533-551
[13]   EVALUATING THE ADEQUACY OF MAXIMUM CONTAMINANT LEVELS AS HEALTH-PROTECTIVE CLEANUP GOALS - AN ANALYSIS BASED ON MONTE-CARLO TECHNIQUES [J].
FINLEY, BL ;
SCOTT, P ;
PAUSTENBACH, DJ .
REGULATORY TOXICOLOGY AND PHARMACOLOGY, 1993, 18 (03) :438-455
[14]   DEVELOPMENT OF A STANDARD SOIL-TO-SKIN ADHERENCE PROBABILITY DENSITY-FUNCTION FOR USE IN MONTE-CARLO ANALYSES OF DERMAL EXPOSURE [J].
FINLEY, BL ;
SCOTT, PK ;
MAYHALL, DA .
RISK ANALYSIS, 1994, 14 (04) :555-569
[15]   WHEN AND HOW CAN YOU SPECIFY A PROBABILITY-DISTRIBUTION WHEN YOU DONT KNOW MUCH [J].
HAIMES, YY ;
BARRY, T ;
LAMBERT, JH .
RISK ANALYSIS, 1994, 14 (05) :661-706
[16]  
*INT COMM RAD PROT, 1981, REP TASK GROUP REF M
[17]   DISTRIBUTION AND EXPECTED TIME OF RESIDENCE FOR UNITED-STATES HOUSEHOLDS [J].
ISRAELI, M ;
NELSON, CB .
RISK ANALYSIS, 1992, 12 (01) :65-72
[18]  
JOHNSON T, 1992, EPA450392011
[19]  
MACMILLAN MG, 1965, LANCET, V1, P728
[20]   PREDICTING THE UNCERTAINTIES IN RISK ASSESSMENT - A CALIFORNIA GROUNDWATER CASE-STUDY [J].
MCKONE, TE ;
BOGEN, KT .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1991, 25 (10) :1674-1681