Literature DB >> 12943312

Analytical solutions to compartmental indoor air quality models with application to environmental tobacco smoke concentrations measured in a house.

Wayne R Ott1, Neil E Klepeis, Paul Switzer.   

Abstract

This paper derives the analytical solutions to multi-compartment indoor air quality models for predicting indoor air pollutant concentrations in the home and evaluates the solutions using experimental measurements in the rooms of a single-story residence. The model uses Laplace transform methods to solve the mass balance equations for two interconnected compartments, obtaining analytical solutions that can be applied without a computer. Environmental tobacco smoke (ETS) sources such as the cigarette typically emit pollutants for relatively short times (7-11 min) and are represented mathematically by a "rectangular" source emission time function, or approximated by a short-duration source called an "impulse" time function. Other time-varying indoor sources also can be represented by Laplace transforms. The two-compartment model is more complicated than the single-compartment model and has more parameters, including the cigarette or combustion source emission rate as a function of time, room volumes, compartmental air change rates, and interzonal air flow factors expressed as dimensionless ratios. This paper provides analytical solutions for the impulse, step (Heaviside), and rectangular source emission time functions. It evaluates the indoor model in an unoccupied two-bedroom home using cigars and cigarettes as sources with continuous measurements of carbon monoxide (CO), respirable suspended particles (RSP), and particulate polycyclic aromatic hydrocarbons (PPAH). Fine particle mass concentrations (RSP or PM3.5) are measured using real-time monitors. In our experiments, simultaneous measurements of concentrations at three heights in a bedroom confirm an important assumption of the model-spatial uniformity of mixing. The parameter values of the two-compartment model were obtained using a "grid search" optimization method, and the predicted solutions agreed well with the measured concentration time series in the rooms of the home. The door and window positions in each room had considerable effect on the pollutant concentrations observed in the home. Because of the small volumes and low air change rates of most homes, indoor pollutant concentrations from smoking activity in a home can be very high and can persist at measurable levels indoors for many hours.

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Year:  2003        PMID: 12943312     DOI: 10.1080/10473289.2003.10466248

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  5 in total

1.  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
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-25       Impact factor: 5.563

2.  Air change rates and interzonal flows in residences, and the need for multi-zone models for exposure and health analyses.

Authors:  Liuliu Du; Stuart Batterman; Christopher Godwin; Jo-Yu Chin; Edith Parker; Michael Breen; Wilma Brakefield; Thomas Robins; Toby Lewis
Journal:  Int J Environ Res Public Health       Date:  2012-12-12       Impact factor: 3.390

3.  Promoting smoke-free homes: a novel behavioral intervention using real-time audio-visual feedback on airborne particle levels.

Authors:  Neil E Klepeis; Suzanne C Hughes; Rufus D Edwards; Tracy Allen; Michael Johnson; Zohir Chowdhury; Kirk R Smith; Marie Boman-Davis; John Bellettiere; Melbourne F Hovell
Journal:  PLoS One       Date:  2013-08-23       Impact factor: 3.240

4.  Fine particles in homes of predominantly low-income families with children and smokers: Key physical and behavioral determinants to inform indoor-air-quality interventions.

Authors:  Neil E Klepeis; John Bellettiere; Suzanne C Hughes; Benjamin Nguyen; Vincent Berardi; Sandy Liles; Saori Obayashi; C Richard Hofstetter; Elaine Blumberg; Melbourne F Hovell
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

Review 5.  Environmental monitoring of secondhand smoke exposure.

Authors:  Benjamin J Apelberg; Lisa M Hepp; Erika Avila-Tang; Lara Gundel; S Katharine Hammond; Melbourne F Hovell; Andrew Hyland; Neil E Klepeis; Camille C Madsen; Ana Navas-Acien; James Repace; Jonathan M Samet; Patrick N Breysse
Journal:  Tob Control       Date:  2012-09-04       Impact factor: 7.552

  5 in total

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