Efficient gHMC Reconstruction of Contaminant Release History

Efficient gHMC Reconstruction of Contaminant Release History

We present a generalized hybrid Monte Carlo (gHMC) method for fast, statistically optimal reconstruction of release histories of reactive contaminants. The approach is applicable to large-scale, strongly nonlinear systems with parametric uncertainties and data corrupted by measurement errors. The us...

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Bibliographic Details
Main Authors: David A. Barajas-Solano, Francis J. Alexander, Marian Anghel, Daniel M. Tartakovsky
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Environmental Science
Subjects:
source identification
contaminant transport
Markov Chain Monte Carlo
hybrid Monte Carlo
inverse problems
uncertainty quantification
Online Access:https://www.frontiersin.org/article/10.3389/fenvs.2019.00149/full

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https://www.frontiersin.org/article/10.3389/fenvs.2019.00149/full

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