Literature DB >> 2054162

Use of an indoor air quality model (IAQM) to estimate indoor ozone levels.

S R Hayes1.   

Abstract

Currently, outdoor ozone levels in many U.S. cities exceed the primary health-based national ambient air quality standard. While outdoor ozone levels are an important measure of the severity of those exceedances, people typically spend more than 80 percent of their time indoors, where ozone levels are lower. Indoor ozone levels range from 10 to 80 percent of outdoor levels, with many people receiving a substantial portion of their ozone exposure while indoors. This paper uses an indoor air quality model (IAQM) to estimate indoor ozone levels by microenvironment type (home, office, and vehicle) and configuration (windows open, windows closed, older construction, weatherized, and air conditioned). The formulation of IAQM is discussed, along with specification of model parameters for ozone. The multicompartment version of IAQM is described, with a single-compartment version used for the analyses. IAQM-calculated ozone indoor-outdoor ratios compare well with research-reported values. Results indicate that ozone peak-concentration indoor-outdoor ratios range as follows: home--0.65 (windows open), 0.36 (air conditioned), 0.23 (typical construction, windows closed), and 0.05 (energy-efficient construction, windows closed); office--0.82 (heating, ventilation and air conditioning systems supplying 100 percent outdoor air), 0.60 (typical HVAC), and 0.32 (energy-efficient HVAC); and vehicle--0.41 (85 mph), 0.33 (55 mph), and 0.21 (10 mph). Analysis results are presented to characterize IAQM's sensitivity to assumed model parameters.

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Year:  1991        PMID: 2054162     DOI: 10.1080/10473289.1991.10466833

Source DB:  PubMed          Journal:  J Air Waste Manage Assoc        ISSN: 1047-3289


  9 in total

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2.  Stochastic modeling of short-term exposure close to an air pollution source in a naturally ventilated room: an autocorrelated random walk method.

Authors:  Kai-Chung Cheng; Viviana Acevedo-Bolton; Ruo-Ting Jiang; Neil E Klepeis; Wayne R Ott; Peter K Kitanidis; Lynn M Hildemann
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3.  Temporal evolution of the main processes that control indoor pollution in an office microenvironment: a case study.

Authors:  Christos H Halios; Costas G Helmis
Journal:  Environ Monit Assess       Date:  2009-06-27       Impact factor: 2.513

Review 4.  Who is more affected by ozone pollution? A systematic review and meta-analysis.

Authors:  Michelle L Bell; Antonella Zanobetti; Francesca Dominici
Journal:  Am J Epidemiol       Date:  2014-05-28       Impact factor: 4.897

5.  Mechanistic modeling of emergency events: assessing the impact of hypothetical releases of anthrax.

Authors:  S S Isukapalli; P J Lioy; P G Georgopoulos
Journal:  Risk Anal       Date:  2008-06       Impact factor: 4.000

6.  Personal exposure and long-term health effects in survivors of the union carbide disaster at bhopal.

Authors:  V Ramana Dhara; Rosaline Dhara; Sushma D Acquilla; Paul Cullinan
Journal:  Environ Health Perspect       Date:  2002-05       Impact factor: 9.031

7.  Long-term concentrations of ambient air pollutants and incident lung cancer in California adults: results from the AHSMOG study.Adventist Health Study on Smog.

Authors:  W L Beeson; D E Abbey; S F Knutsen
Journal:  Environ Health Perspect       Date:  1998-12       Impact factor: 9.031

8.  Air pollution and daily hospital admissions in metropolitan Los Angeles.

Authors:  W S Linn; Y Szlachcic; H Gong; P L Kinney; K T Berhane
Journal:  Environ Health Perspect       Date:  2000-05       Impact factor: 9.031

9.  Ventilation and Air Quality in Student Dormitories in China: A Case Study during Summer in Nanjing.

Authors:  Zhe Yang; Jialei Shen; Zhi Gao
Journal:  Int J Environ Res Public Health       Date:  2018-06-25       Impact factor: 3.390

  9 in total

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