Leak Potential Index Model for Use in Priority Ranking of Underground Storage Tanks at Formerly Used Defense Sites.

Abstract

Abandoned underground storage tanks (USTs) that have not been properly closed at formerlC used defense sites (FUDS) may present potential leaking problems, spilling their hazardous contents into nearby soils, groundwater, and well water. The leaking USTs are potential sources of contaminants generally classified as containerized hazardous, toxic, and radioactive waste (CON/HTRW). CON/IITRW includes petroleum, oil, and lubricants (POL), benzene, toluene, ethylbenzene, xylene (BTEX), and radioactive waste products. The risk to the environment and population associated with the leaking USTs depends not only on the source, but on the migration pathway factor (MPF) (i.e., the ability of the medium of transport such as soil or water-to effectively transport the contaminants to the "receptor") and finally on the relative vulnerability of the potential receptor. Thus, the assessment of the relative risk begins with the calculation of the potential of the UST to leak. A method of predicting the risk of leakage of these USTs is therefore desirable. presently, however, leak prediction index (LPI) models (which are used to predict the age at which a UST will leak or the probability of a UST leak at any given age) require soil data that are not readily available, or not easily and economically obtained by LPI.model users. The Warren Rogers leak prediction model was developed circa 1981, and has been used for USTs and incorporated into leak prediction models for other types of underground steel structures.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1998
Accession Number
ADA341068

Entities

People

  • L. D. Stephenson

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Construction
  • Databases
  • Engineering
  • Environment
  • Environmental Pollutants
  • Groundwater
  • Hazardous Waste
  • Materials
  • Materials Science
  • Predictive Modeling
  • Radioactive Wastes
  • Regression Analysis
  • Storage Tanks
  • Surveys
  • United States
  • Waste Products
  • Water

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Environmental Remediation and Restoration.
  • Groundwater Contamination Remediation.