Literature DB >> 31494643

Building science approaches for vapor intrusion studies.

Elham Shirazi1, Sweta Ojha1, Kelly G Pennell2.   

Abstract

Indoor air concentrations are susceptible to temporal and spatial variations and have long posed a challenge to characterize for vapor intrusion scientists, in part, because there was a lack of evidence to draw conclusions about the role that building and weather conditions played in altering vapor intrusion exposure risks. Importantly, a large body of evidence is available within the building science discipline that provides information to support vapor intrusion scientists in drawing connections about fate and transport processes that influence exposure risks. Modeling tools developed within the building sciences provide evidence of reported temporal and spatial variation of indoor air contaminant concentrations. In addition, these modeling tools can be useful by calculating building air exchange rates (AERs) using building specific features. Combining building science models with vapor intrusion models, new insight to facilitate decision-making by estimating indoor air concentrations and building ventilation conditions under various conditions can be gained. This review highlights existing building science research and summarizes the utility of building science models to improve vapor intrusion exposure risk assessments.

Entities:  

Keywords:  building science; indoor air quality; modeling; volatile organic compounds

Mesh:

Substances:

Year:  2019        PMID: 31494643      PMCID: PMC6944199          DOI: 10.1515/reveh-2019-0015

Source DB:  PubMed          Journal:  Rev Environ Health        ISSN: 0048-7554            Impact factor:   4.022


  8 in total

1.  Effect of vapor source-building separation and building construction on soil vapor intrusion as studied with a three-dimensional numerical model.

Authors:  Lilian D V Abreu; Paul C Johnson
Journal:  Environ Sci Technol       Date:  2005-06-15       Impact factor: 9.028

2.  A one-dimensional analytical model for airborne contaminant transport in airliner cabins.

Authors:  S Mazumdar; Q Chen
Journal:  Indoor Air       Date:  2009-02       Impact factor: 5.770

Review 3.  A review of air exchange rate models for air pollution exposure assessments.

Authors:  Michael S Breen; Bradley D Schultz; Michael D Sohn; Thomas Long; John Langstaff; Ronald Williams; Kristin Isaacs; Qing Yu Meng; Casson Stallings; Luther Smith
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-05-29       Impact factor: 5.563

4.  Temporal variability of indoor air concentrations under natural conditions in a house overlying a dilute chlorinated solvent groundwater plume.

Authors:  Chase Holton; Hong Luo; Paul Dahlen; Kyle Gorder; Erik Dettenmaier; Paul C Johnson
Journal:  Environ Sci Technol       Date:  2013-11-14       Impact factor: 9.028

5.  CFD and ventilation research.

Authors:  Y Li; P V Nielsen
Journal:  Indoor Air       Date:  2011-07-04       Impact factor: 5.770

6.  US residential building air exchange rates: new perspectives to improve decision making at vapor intrusion sites.

Authors:  Rivka Reichman; Elham Shirazi; Donald G Colliver; Kelly G Pennell
Journal:  Environ Sci Process Impacts       Date:  2017-02-22       Impact factor: 4.238

7.  Three-dimensional vapor intrusion modeling approach that combines wind and stack effects on indoor, atmospheric, and subsurface domains.

Authors:  Elham Shirazi; Kelly G Pennell
Journal:  Environ Sci Process Impacts       Date:  2017-12-13       Impact factor: 4.238

8.  Development and application of a three-dimensional finite element vapor intrusion model.

Authors:  Kelly G Pennell; Ozgur Bozkurt; Eric M Suuberg
Journal:  J Air Waste Manag Assoc       Date:  2009-04       Impact factor: 2.235

  8 in total
  2 in total

1.  Comparison of modeled and measured indoor air trichloroethene (TCE) concentrations at a vapor intrusion site: influence of wind, temperature, and building characteristics.

Authors:  Elham Shirazi; Gregory S Hawk; Chase W Holton; Arnold J Stromberg; Kelly G Pennell
Journal:  Environ Sci Process Impacts       Date:  2020-03-04       Impact factor: 4.238

2.  A Simulation Analyzing Approach to Estimating the Probability of Airborne Infection Risks in Railway Station Platform Coupling with the Wells-Riley Model and Pathfinder Model.

Authors:  Yi-Zheng Dai; Yan-Jiao Chen; Chen-Yang Zhang
Journal:  J Healthc Eng       Date:  2021-12-21       Impact factor: 2.682

  2 in total

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