Practical Cost-Optimization of Characterization and Remediation Decisions at DNAPL Sites with Consideration of Prediction Uncertainty

Abstract

The goal of this project was to develop a practical tool for optimizing the design and operation of groundwater remediation systems that explicitly considers uncertainty in site and remediation system characteristics, performance and cost model limitations, and measurement uncertainties that affect predictions of remediation performance and cost. The project was specifically focused on chlorinated solvent contaminated sites with dense nonaqueous phase liquid (DNAPL) sources.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2011
Accession Number
ADA551907

Entities

People

  • Jack Parker
  • Jonghyun Lee
  • Mike Cardiff
  • Peter Kitanidis
  • Ungtae Kim
  • Xiaoyi Liu

Organizations

  • University of Tennessee system

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Confidence Limits
  • Cost Models
  • Cost Reductions
  • Costs
  • Groundwater
  • Mass Transfer
  • Mathematical Models
  • Measurement
  • Monte Carlo Method
  • Optimization
  • Probability Distributions
  • Random Variables
  • Two Dimensional
  • Water Resources

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Groundwater Contamination Remediation.
  • Life Cycle Cost Analysis