A DDDAS Framework for Volcanic Ash Propagation and Hazard Analysis

Abstract

In this paper we will present early work on using a DDDAS based approach to the construction of probabilistic estimates of volcanic ash transport and dispersal. Our primary modeling tools will be a combination of a plume eruption model BENT and the ash transport model PUFF. Data from satellite imagery, observation of vent parameters and windfields will drive our simulations. We will use uncertainty quantification methodology ? polynomial chaos quadrature in combination with data integration to complete the DDDAS loop.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA562610

Entities

People

  • A. K. Patra
  • E. B. Pitman
  • J. Dehn
  • M. Bursik
  • M. Pavolonis
  • McArthur Jones, Jr.
  • P. Singla
  • P. Webley
  • Talwinder Singh

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Science
  • Detection
  • Differential Equations
  • Fluid Dynamics
  • Fokker Planck Equations
  • Kalman Filters
  • Mathematical Filters
  • Probability
  • Probability Distributions
  • Random Variables
  • Satellite Imaging
  • Sequential Monte Carlo Methods
  • Simulations
  • Stochastic Processes

Readers

  • Aerosol Science/Aerosol Physics
  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers