Hydrological Parameter Estimations from a Conservative Tracer Test With Variable-Density Effects at the Boise Hydrogeophysical Research Site

Abstract

Reliable predictions of groundwater flow and solute transport require an estimation of the detailed distribution of the parameters (e.g., hydraulic conductivity, effective porosity)controlling these processes. However, such parameters are difficult to estimate because of the inaccessibility and complexity of the subsurface. In this regard, developments in parameter estimation techniques and investigations of field experiments are still challenging and necessary to improve our understanding and the prediction of hydrological processes. Here we analyze a conservative tracer test conducted at the Boise Hydrogeophysical Research Site in 2001 in a heterogeneous unconfined fluvial aquifer. Some relevant characteristics of this test include: variable-density (sinking) effects because of the injection concentration of the bromide tracer, the relatively small size of the experiment, and the availability of various sources of geophysical and hydrological information. The information contained in this experiment is evaluated through several parameter estimation approaches, including a grid-search-based strategy, stochastic simulation of hydrological property distributions, and deterministic inversion using regularization and pilot-point techniques.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 2011
Accession Number
ADA558939

Entities

People

  • B. Dafflon
  • M. Cardiff
  • T. C. Johnson
  • W. Barrash

Organizations

  • Boise State University

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Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Boltzmann Equation
  • Computational Science
  • Computer Programs
  • Conductivity
  • Data Acquisition
  • Data Mining
  • Data Sets
  • Earth Sciences
  • Electrical Conductivity
  • Groundwater
  • High Resolution
  • Information Science
  • Measurement
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  • Three Dimensional
  • Water Resources

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  • Environmental science

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  • Computational Modeling and Simulation
  • Environmental Engineering
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