Uncertainty propagation in puff-based dispersion models using polynomial chaos

Umamaheswara Konda, Tarunraj Singh, Puneet Singla, Peter D. Scott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A simple three-dimensional Gaussian puff-based dispersion model is designed to study the effect of uncertainties in the model parameters on the solution. A polynomial chaos approach to solve stochastic systems with parametric and initial uncertainties is described. The solution of the dispersion model is investigated numerically using this approach. The polynomial chaos solution is found to be an accurate approximation to ground truth, established by Monte Carlo simulation, while offering an efficient computational approach for large nonlinear systems with a relatively small number of uncertainties.

Original languageEnglish (US)
Title of host publication2009 12th International Conference on Information Fusion, FUSION 2009
Pages710-716
Number of pages7
StatePublished - Nov 18 2009
Event2009 12th International Conference on Information Fusion, FUSION 2009 - Seattle, WA, United States
Duration: Jul 6 2009Jul 9 2009

Publication series

Name2009 12th International Conference on Information Fusion, FUSION 2009

Other

Other2009 12th International Conference on Information Fusion, FUSION 2009
CountryUnited States
CitySeattle, WA
Period7/6/097/9/09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Information Systems
  • Software

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    Konda, U., Singh, T., Singla, P., & Scott, P. D. (2009). Uncertainty propagation in puff-based dispersion models using polynomial chaos. In 2009 12th International Conference on Information Fusion, FUSION 2009 (pp. 710-716). [5203763] (2009 12th International Conference on Information Fusion, FUSION 2009).