The Numerical Solution of Stochastic PDEs an application in hydrology PowerPoint PPT Presentation

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Title: The Numerical Solution of Stochastic PDEs an application in hydrology


1
The Numerical Solution ofStochastic PDEs -an
application in hydrology
  • K. Burrage, T. Tianhai, P. Burrage
  • Mathematics Department
  • University of Queensland
  • kb_at_maths.uq.edu.au

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Contents
  • 1. The stochastic model
  • 2. Method of Lines
  • 3. Computing a stochastic process in time and
    space
  • 4. Numerical methods and stiffness
  • 5. Results and conclusions
  • 6. Bibliography

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1. The stochastic model
  • Modelling solute transport in an aquifer
  • Darcys Law

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  • Introduce the concept of stochastic velocity -
    describes motion of a tracer in a porous medium
  • represents uncertainties due to
    pore structure.
  • Stochastic flux - to model hydrodynamic
    dispersion
  • is Diagonal diffusivity matrix,
    same form.

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  • Simplification
  • homogeneous and isotropic,
  • constant, 1
    dimensional
  • Approaches
  • strong solutions - trajectories
  • weak solutions - statistics
  • distributions

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2. Method of Lines
  • Uniform spatial mesh
  • Second order differential - central
  • First order - forward

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  • Linear
  • Stiff in deterministic and stochastic components

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  • 3. Stochastic processes in
  • time and space
  • Consider stochastic process
  • with mean 0, spatial covariance
  • C is bounded, symmetric and p.d., with spectral
    decomposition

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  • Kahunen-Loeve expansion
  • Hydrological Example

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  • Define the spatial correlation matrix
  • compute Eq

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  • Examples of spatial correlation

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4. Numerical methods and stiffness
  • General SDE (Ito form)
  • Euler methods - strong order 0.5

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  • Apply to
  • Balanced method - strong order 0.5

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  • Choose such that
  • has an inverse and
  • Applied to Eq,
  • The can be chosen appropriately for
    hydrological problem so that M is diagonal with
    diagonals gt 1.

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5. Numerical Results

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Bibliography
  • T. Tianhai, K. Burrage and R. Volker (1999), The
    stochastic model and numerical simulations for
    solute transport in porous media.
  • J.H. Cushman (1987), Development of stochastic
    partial differential equations for subsurface
    hydrology, Stoch. Hydrol. Hydraul. 1, 241-264.
  • G. Dagan (1989), Flow and transport in porous
    formations, Springer, Berlin.
  • Y. Rubin (1997), Transport of inert solutes by
    groundwater recent developments and current
    issues in subsurface flow and transport a
    stochastic approach, CU Press
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