Main Title |
Reliability-Based Uncertainty Analysis of Groundwater Contaminant Transport an Remediation. |
Author |
Hamed, M. M. ;
Bedient, P. B. ;
|
CORP Author |
Rice Univ., Houston, TX.;National Risk Management Research Lab., Ada, OK. Subsurface Protection and Remediation Div. |
Publisher |
Jun 1999 |
Year Published |
1999 |
Report Number |
EPA-CR-821906; EPA/600/R-99/028; |
Stock Number |
PB2007-107081 |
Additional Subjects |
Ground water ;
Environmental transport ;
Water pollution ;
Remediation ;
Contaminate plumes ;
Cleanup ;
Downgradient wells ;
Estimates ;
Reliability-based uncertainty analysis ;
Analytical groundwater models ;
Probabilistic modeling tools
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB2007-107081 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
82p |
Abstract |
Failure to rigorously accommodate physical parameter uncertainty in groundwater transport models casts serious doubts on our ability to accurately delineate the contaminant plume at a given site. This failure could also considerably reduce the possibility of success of the remediation scheme intended to clean up a plume within the specified time. In this research, the probability that a contaminant leaking from a waste source will exceed some predetermined target level at a down-gradient well is estimated, along with the sensitivity of this probably to the basic uncertainty in input parameters. The relevant parameters are assumed random with prescribed probability distributions. We present a probabilistic modeling tool based on first- and second-order reliability methods (FORM and SORM) to account for parameter uncertainty in groundwater contaminant transport and remediation. The methodology is applied to analytical groundwater models to provide a simple screening tool for the assessment of contamination and remediation. In addition, numerical-based reliability models are developed to account for aquifer spatial heterogeneity and correlation structure in more complex systems. |