Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM2.5 in Central North Carolina

Michael S. Breen; Thomas C. Long; Bradley D. Schultz; Ronald W. Williams; Jennifer Richmond-Bryant; Miyuki Breen; John E. Langstaff; Robert B. Devlin; Alexandra Schneider; Janet M. Burke; Stuart A. Batterman; Qing Yu Meng

doi:10.1021/acs.est.5b02765

Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM_2.5 in Central North Carolina

Michael S. Breen
, Thomas C. Long
, Bradley D. Schultz
, Ronald W. Williams
, Jennifer Richmond-Bryant
, Miyuki Breen
, John E. Langstaff
, Robert B. Devlin
, Alexandra Schneider
, Janet M. Burke
, Stuart A. Batterman
, Qing Yu Meng

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

Air pollution health studies of fine particulate matter (diameter ≥2.5 ?m, PM_2.5) often use outdoor concentrations as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM_2.5 and time indoors can induce exposure errors. We developed and evaluated an exposure model for individuals (EMI), which predicts five tiers of individual-level exposure metrics for ambient PM_2.5 using outdoor concentrations, questionnaires, weather, and time-location information. We linked a mechanistic air exchange rate (AER) model to a mass-balance PM_2.5 infiltration model to predict residential AER (Tier 1), infiltration factors (Tier 2), indoor concentrations (Tier 3), personal exposure factors (Tier 4), and personal exposures (Tier 5) for ambient PM_2.5. Using cross-validation, individual predictions were compared to 591 daily measurements from 31 homes (Tiers 1-3) and participants (Tiers 4-5) in central North Carolina. Median absolute differences were 39% (0.17 h^-1) for Tier 1, 18% (0.10) for Tier 2, 20% (2.0 ?g/m³) for Tier 3, 18% (0.10) for Tier 4, and 20% (1.8 ?g/m³) for Tier 5. The capability of EMI could help reduce the uncertainty of ambient PM_2.5 exposure metrics used in health studies.

Original language	English
Pages (from-to)	14184-14194
Number of pages	11
Journal	Environmental Science and Technology
Volume	49
Issue number	24
DOIs	https://doi.org/10.1021/acs.est.5b02765
State	Published - 15 Dec 2015
Externally published	Yes

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Breen, M. S., Long, T. C., Schultz, B. D., Williams, R. W., Richmond-Bryant, J., Breen, M., Langstaff, J. E., Devlin, R. B., Schneider, A., Burke, J. M., Batterman, S. A., & Meng, Q. Y. (2015). Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM_2.5 in Central North Carolina. Environmental Science and Technology, 49(24), 14184-14194. https://doi.org/10.1021/acs.est.5b02765

@article{f932ed7b13a2447fb275f1073ddd5591,

title = "Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM2.5 in Central North Carolina",

abstract = "Air pollution health studies of fine particulate matter (diameter ≥2.5 ?m, PM2.5) often use outdoor concentrations as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and time indoors can induce exposure errors. We developed and evaluated an exposure model for individuals (EMI), which predicts five tiers of individual-level exposure metrics for ambient PM2.5 using outdoor concentrations, questionnaires, weather, and time-location information. We linked a mechanistic air exchange rate (AER) model to a mass-balance PM2.5 infiltration model to predict residential AER (Tier 1), infiltration factors (Tier 2), indoor concentrations (Tier 3), personal exposure factors (Tier 4), and personal exposures (Tier 5) for ambient PM2.5. Using cross-validation, individual predictions were compared to 591 daily measurements from 31 homes (Tiers 1-3) and participants (Tiers 4-5) in central North Carolina. Median absolute differences were 39\% (0.17 h-1) for Tier 1, 18\% (0.10) for Tier 2, 20\% (2.0 ?g/m3) for Tier 3, 18\% (0.10) for Tier 4, and 20\% (1.8 ?g/m3) for Tier 5. The capability of EMI could help reduce the uncertainty of ambient PM2.5 exposure metrics used in health studies.",

author = "Breen, \{Michael S.\} and Long, \{Thomas C.\} and Schultz, \{Bradley D.\} and Williams, \{Ronald W.\} and Jennifer Richmond-Bryant and Miyuki Breen and Langstaff, \{John E.\} and Devlin, \{Robert B.\} and Alexandra Schneider and Burke, \{Janet M.\} and Batterman, \{Stuart A.\} and Meng, \{Qing Yu\}",

note = "Publisher Copyright: {\textcopyright} 2015 American Chemical Society.",

year = "2015",

month = dec,

day = "15",

doi = "10.1021/acs.est.5b02765",

language = "English",

volume = "49",

pages = "14184--14194",

journal = "Environmental Science and Technology",

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Breen, MS, Long, TC, Schultz, BD, Williams, RW, Richmond-Bryant, J, Breen, M, Langstaff, JE, Devlin, RB, Schneider, A, Burke, JM, Batterman, SA & Meng, QY 2015, 'Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM_2.5 in Central North Carolina', Environmental Science and Technology, vol. 49, no. 24, pp. 14184-14194. https://doi.org/10.1021/acs.est.5b02765

TY - JOUR

T1 - Air Pollution Exposure Model for Individuals (EMI) in Health Studies

T2 - Evaluation for Ambient PM2.5 in Central North Carolina

AU - Breen, Michael S.

AU - Long, Thomas C.

AU - Schultz, Bradley D.

AU - Williams, Ronald W.

AU - Richmond-Bryant, Jennifer

AU - Breen, Miyuki

AU - Langstaff, John E.

AU - Devlin, Robert B.

AU - Schneider, Alexandra

AU - Burke, Janet M.

AU - Batterman, Stuart A.

AU - Meng, Qing Yu

PY - 2015/12/15

Y1 - 2015/12/15

N2 - Air pollution health studies of fine particulate matter (diameter ≥2.5 ?m, PM2.5) often use outdoor concentrations as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and time indoors can induce exposure errors. We developed and evaluated an exposure model for individuals (EMI), which predicts five tiers of individual-level exposure metrics for ambient PM2.5 using outdoor concentrations, questionnaires, weather, and time-location information. We linked a mechanistic air exchange rate (AER) model to a mass-balance PM2.5 infiltration model to predict residential AER (Tier 1), infiltration factors (Tier 2), indoor concentrations (Tier 3), personal exposure factors (Tier 4), and personal exposures (Tier 5) for ambient PM2.5. Using cross-validation, individual predictions were compared to 591 daily measurements from 31 homes (Tiers 1-3) and participants (Tiers 4-5) in central North Carolina. Median absolute differences were 39% (0.17 h-1) for Tier 1, 18% (0.10) for Tier 2, 20% (2.0 ?g/m3) for Tier 3, 18% (0.10) for Tier 4, and 20% (1.8 ?g/m3) for Tier 5. The capability of EMI could help reduce the uncertainty of ambient PM2.5 exposure metrics used in health studies.

AB - Air pollution health studies of fine particulate matter (diameter ≥2.5 ?m, PM2.5) often use outdoor concentrations as exposure surrogates. Failure to account for variability of indoor infiltration of ambient PM2.5 and time indoors can induce exposure errors. We developed and evaluated an exposure model for individuals (EMI), which predicts five tiers of individual-level exposure metrics for ambient PM2.5 using outdoor concentrations, questionnaires, weather, and time-location information. We linked a mechanistic air exchange rate (AER) model to a mass-balance PM2.5 infiltration model to predict residential AER (Tier 1), infiltration factors (Tier 2), indoor concentrations (Tier 3), personal exposure factors (Tier 4), and personal exposures (Tier 5) for ambient PM2.5. Using cross-validation, individual predictions were compared to 591 daily measurements from 31 homes (Tiers 1-3) and participants (Tiers 4-5) in central North Carolina. Median absolute differences were 39% (0.17 h-1) for Tier 1, 18% (0.10) for Tier 2, 20% (2.0 ?g/m3) for Tier 3, 18% (0.10) for Tier 4, and 20% (1.8 ?g/m3) for Tier 5. The capability of EMI could help reduce the uncertainty of ambient PM2.5 exposure metrics used in health studies.

UR - https://www.scopus.com/pages/publications/84950115881

U2 - 10.1021/acs.est.5b02765

DO - 10.1021/acs.est.5b02765

M3 - Article

C2 - 26561729

AN - SCOPUS:84950115881

SN - 0013-936X

VL - 49

SP - 14184

EP - 14194

JO - Environmental Science and Technology

JF - Environmental Science and Technology

IS - 24

ER -

Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM2.5 in Central North Carolina

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Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM_2.5 in Central North Carolina