Integrating Uncertainty Analysis in the Risk Characterization of In-Place Remedial Strategies for Contaminated Sediments

Abstract

The overarching goal of this work was to characterize and bound the uncertainties associated with the impact of sediment processes (with focus on ebullition and advection) on the long-term performance of in situ capping strategies. The approach was a combination of experimental work and modeling to enable evaluation of the impact of ebullition and advection on both sediment bed stability and contaminant fluxes (here: PAH) from the sediment. The experiments were focused on the quantification of ebullition metrics, PAH flux measurements, and sediment resuspension measurements conducted in batch systems and flume configurations using sediments collected from the Anacostia River Capping Project. These sitespecific data were aimed at narrowing the process uncertainties as they are currently reported in the literature. A geostatistical model was developed and applied to enable comparison of microbial data collected at the field and laboratory scales. The integrative modeling approach evolved from a generic water quality model to a custom-designed sediment flux model (SFM) that allowed for the integration of data collected at various scales, to link the flume and field aspects of the study.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA512785

Entities

People

  • Cyndee L. Gruden
  • John Wolfe
  • Joseph Depinto
  • Noemi Barabas
  • Peter Adriaens
  • Steven J. Wright
  • Todd Redder

Organizations

  • University of Michigan

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Chemical Properties
  • Chemical Synthesis
  • Chemistry
  • Computational Science
  • Ecology
  • Environmental Protection
  • Fish
  • Fluid Dynamics
  • Geography
  • Glaciology
  • Habitats
  • Measurement
  • Mechanics
  • Oceanography
  • Ridges
  • Topography
  • Turbulent Mixing

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation
  • Groundwater Contamination Remediation.

Technology Areas

  • Biotechnology
  • Biotechnology - Bioremediation