Main Title |
Application of a Geographic Information System for Containment Leak Detection. |
Author |
Ross, R. R. ;
Beljin, M. S. ;
Vieux, B. E. ;
|
CORP Author |
National Risk Management Research Lab., Ada, OK. Subsurface Protection and Remediation Div. ;Beljin and Associates, Cincinnati, OH. ;Oklahoma Univ., Norman. School of Civil Engineering and Environmental Science. |
Publisher |
2000 |
Year Published |
2000 |
Report Number |
EPA/600/A-01/029; |
Stock Number |
PB2001-104741 |
Additional Subjects |
Leak detection ;
Containment systems ;
Geographic information systems ;
Water pollution control ;
Hydraulics ;
Ground water ;
Hazardous waste sites ;
Monitoring ;
Modeling ;
Hydraulic signatures
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB2001-104741 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
30p |
Abstract |
The use of physical and hydraulic containment systems for the isolation of contaminated ground water associated with hazardous waste sites has increased during the last decade. Existing methodologies for monitoring and evaluating leakage from hazardous waste containment system rely primarily on limited hydraulic head data. The number of hydraulic head monitoring points available at most sites employing physical containment systems may be insufficient to identify significant leakage. A general approach for evaluating the performance of containment systems based on estimations of apparent leakage rates is used to introduce a methodology for determining the number of monitoring points necessary to identify the hydraulic signature of leakage from a containment system. The probabilistic method is based on the principles of geometry probability. A raster-based GIS (IDRISI) was used to determine the critical dimensions of the hydraulic conditions using a three-dimensional ground-water flow model. MODRISI, a set of computer programs was used to integrate ground-water flow modeling results into the hydraulic signature assessment method. |