Literature DB >> 22068152

Measurement of the proximity effect for indoor air pollutant sources in two homes.

Viviana Acevedo-Bolton1, Kai-Chung Cheng, Ruo-Ting Jiang, Wayne R Ott, Neil E Klepeis, Lynn M Hildemann.   

Abstract

Personal exposure to air pollutants can be substantially higher in close proximity to an active source due to non-instantaneous mixing of emissions. The research presented in this paper quantifies this proximity effect for a non-buoyant source in 2 naturally ventilated homes in Northern California (CA), assessing its spatial and temporal variation and the influence of factors such as ventilation rate on its magnitude. To quantify how proximity to residential sources of indoor air pollutants affects human exposure, we performed 16 separate monitoring experiments in the living rooms of two detached single-family homes. CO (as a tracer gas) was released from a point source in the center of the room at a controlled emission rate for 5-12 h per experiment, while an array of 30-37 real-time monitors simultaneously measured CO concentrations with 15 s time resolution at radial distances ranging from 0.25-5 m under a range of ventilation conditions. Concentrations measured in close proximity (within 1 m) to the source were highly variable, with 5 min averages that typically varied by >100-fold. This variability was due to short-duration (<1 min) pollutant concentration peaks ("microplumes") that were frequently recorded in close proximity to the source. We decomposed the random microplume component from the total concentrations by subtracting predicted concentrations that assumed uniform, instantaneous mixing within the room and found that these microplumes can be modeled using a 3-parameter lognormal distribution. Average concentrations measured within 0.25 m of the source were 6-20 times as high as the predicted well-mixed concentrations.

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Year:  2011        PMID: 22068152     DOI: 10.1039/c1em10521c

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  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.  Covid-19 Exposure Assessment Tool (CEAT): Easy-to-use tool to quantify exposure based on airflow, group behavior, and infection prevalence in the community.

Authors:  Brian J Schimmoller; Nídia S Trovão; Molly Isbell; Chirag Goel; Benjamin F Heck; Tenley C Archer; Klint D Cardinal; Neil B Naik; Som Dutta; Ahleah Rohr Daniel; Afshin Beheshti
Journal:  medRxiv       Date:  2022-03-16

3.  COVID-19 Exposure Assessment Tool (CEAT): Exposure quantification based on ventilation, infection prevalence, group characteristics, and behavior.

Authors:  Brian J Schimmoller; Nídia S Trovão; Molly Isbell; Chirag Goel; Benjamin F Heck; Tenley C Archer; Klint D Cardinal; Neil B Naik; Som Dutta; Ahleah Rohr Daniel; Afshin Beheshti
Journal:  Sci Adv       Date:  2022-09-30       Impact factor: 14.957

4.  A cross sectional analysis of behaviors related to operating gas stoves and pneumonia in U.S. children under the age of 5.

Authors:  Eric S Coker; Ellen Smit; Anna K Harding; John Molitor; Molly L Kile
Journal:  BMC Public Health       Date:  2015-02-04       Impact factor: 3.295

5.  Classroom aerosol dispersion: desk spacing and divider impacts.

Authors:  P Dacunto; D Moser; A Ng; M Benson
Journal:  Int J Environ Sci Technol (Tehran)       Date:  2021-07-30       Impact factor: 2.860

  5 in total

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