Exposure of a Food Crop to Trichloroethylene from a Contaminated Aquifer

Abstract

This research developed a methodology for assessment of the exposure of a mature corn crop to trichloroethylene from a contaminated aquifer. The methodology was then applied to the case of Hill AFB to determine the ability of the methodology to provide information about a specific exposure. Current procedures sample for food contamination but do not attempt to predict exposure problems. A review of the potential exposure pathways from the aquifer to the crop was conducted. Based on this review, the exposures due to soil gas and irrigation were modeled. Empirical estimated were used to approximate the expected flux of soil gas vaporizing directly from the aquifer. On the basis of this approximation, the exposure the air of the crop canopy was mathematically estimated. Analytical models were developed to simulate the amount of the contaminant reaching the crop from two different means of irrigation. The subsequent exposure once the contaminated irrigation water had reached the crop was modeled both in the air of the crop canopy and the soil phase near the root system. The methodology provided insights into which exposure pathways are more important than others and which environmental parameters most influence the amount of exposure.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA284828

Entities

People

  • Richard G. Baringer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Alkenes
  • Chemical Properties
  • Chemical Synthesis
  • Chemistry
  • Diffusion Coefficient
  • Ecology
  • Ecotoxicology
  • Environment
  • Environmental Health
  • Environmental Pollutants
  • Environmental Protection
  • Groundwater
  • Health
  • Liquid Phases
  • Mass Transfer
  • Organic Chemistry
  • Organic Compounds

Fields of Study

  • Agricultural and Food sciences
  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Groundwater Contamination Remediation.
  • Systems Analysis and Design