210988 An Analytic Method for Exposure Reconstruction

Monday, November 9, 2009: 11:30 AM

Mustafa M. Aral, PhD , School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA
Jiabao Guan, PhD , School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA
Morris L. Maslia, PE, DEE , Division of Health Assessment and Consultation, Agency for Toxic Substances and Disease Registry, Atlanta, GA
A health risk assessment of exposure to contaminants in drinking water frequently requires reconstruction of the groundwater contamination history in aquifers and the water supply wells in the aquifer that are contributing water to the water distribution system used in the community. The development of groundwater flow and fate and transport models that are used in exposure reconstruction analysis may tend to be time-consuming and expensive although this approach is the accepted norm in exposure reconstruction studies. To overcome this burden, new approaches need to be explored to reconstruct groundwater contamination history at a site that would reduce the time and the computational expense of the traditional numerical modeling techniques. The purpose of this study is to investigate the feasibility of the use of a new computational procedure to estimate the historical contamination events and migration of contaminants at a site when there is limited historical data to perform the health risk assessment study.

Learning Objectives:
Formulation of a control theory based methodology for exposure reconstruction with limited field data.

Keywords: Environmental Exposures, Methodology

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a professor at Ga Tech. and I am the principal investigator of the study that will be presented.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.