Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Internet Explorer is no longer a supported browser.

This website may not display properly with Internet Explorer. For the best experience, please use a more recent browser such as the latest versions of Google Chrome, Microsoft Edge, and/or Mozilla Firefox. Thank you.

Your Environment. Your Health.

Progress Reports: Brown University: Indoor Air Concentration Dynamics and Vapor Intrusion

Superfund Research Program

Indoor Air Concentration Dynamics and Vapor Intrusion

Project Leader: Eric M. Suuberg
Grant Number: P42ES013660
Funding Period: 2009-2021
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

Learn More About the Grantee

Visit the grantee's eNewsletter page Visit the grantee's eNewsletter page Visit the grantee's Twitter page Visit the grantee's Facebook page Visit the grantee's Video page

Progress Reports

Year:   2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009 

People spend a majority of their lives indoors, and this environment offers potential for human exposure to harmful chemicals, including those entering via vapor intrusion (VI) from the soil. Their concentrations may vary widely over time, and this project is examining the dynamics of such contaminant exposure, developing mathematical modeling tools to describe and predict it. A major problem in managing VI risk is the highly variable nature of indoor contaminant concentrations, which empirical field investigative methods can easily miss. This project will provide those tasked with managing VI sites new computational tools for better understanding the variability in concentrations that may be expected and will allow them to make more realistic predictions of exposures than are possible now. Project researchers have earlier developed advanced engineering modeling tools to predict what indoor concentrations might be expected in certain steady exposure scenarios. The researchers now are modifying these earlier models to explain the now recognized variability. The models will be validated against actual field data, which the researchers will take at local VI-impacted sites. The project researchers have begun the necessary activities both in terms of revising the earlier VI model and in developing simple, unobtrusive field-deployable measurement devices that can provide them the necessary indoor dynamic concentration information. The chemical of special focus in this project is trichloroethylene (TCE) since recent environmental health literature has suggested certain short-term exposures to low concentrations of TCE might be of considerable significance.

Back
to Top