Modeling vapor intrusion processes and evaluating risks using subslab data

E. M. Suuberg, Y. Yao, R. Shen, O. Bozkurt, K. G. Pennell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper considers the significance of observed subslab contaminant concentrations on the vapor intrusion process. In field measurements, there is observed wide variability in the ratio of indoor air contaminant concentration to subslab contaminant concentration. Here various aspects of the relationship of subslab concentrations to indoor contaminant levels are explored using a three-dimensional fluid dynamics model of the process. Subslab concentrations are determined mainly by diffusional processes and they are reasonably uniform across the subslab for buildings on homogeneous soils (with no significant advective subsurface disturbance). Also, subslab concentrations do not determine the main mode of contaminant entry into a structure (advection or diffusion), and widely different contaminant entry rates can be obtained with very similar subslab concentrations, depending upon whether the soil type supports advection or not.

Original languageEnglish
Title of host publicationEnvironmental Health and Biomedicine
Pages115-125
Number of pages11
DOIs
StatePublished - 2011
Event6th Int. Conf. on the Impact of Environmental Factors on Health, and 9th Int. Conf. on Modelling in Medicine and Biology - Environmental Health Risk 2011, EHR 2011 - Riga, Latvia
Duration: Jul 25 2011Jul 27 2011

Publication series

NameWIT Transactions on Biomedicine and Health
Volume15
ISSN (Print)1743-3525

Conference

Conference6th Int. Conf. on the Impact of Environmental Factors on Health, and 9th Int. Conf. on Modelling in Medicine and Biology - Environmental Health Risk 2011, EHR 2011
Country/TerritoryLatvia
CityRiga
Period7/25/117/27/11

Keywords

  • Numerical modeling
  • Subslab
  • Vapor intrusion

ASJC Scopus subject areas

  • Modeling and Simulation
  • Biomedical Engineering
  • Computer Science Applications
  • Public Health, Environmental and Occupational Health

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