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An automatic locally-adaptive method to estimate heavily-tailed breakthrough curves from particle distributions

Autor
Pedretti, D.; Fernandez, D.
Tipus d'activitat
Article en revista
Revista
Advances in water resources
Data de publicació
2013-09
Número
59
Pàgina inicial
52
Pàgina final
65
DOI
https://doi.org/10.1016/j.advwatres.2013.05.006 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0309170813000869?via%3Dihub Obrir en finestra nova
Resum
Particle tracking methods to simulate solute transport deal with the issue of having to reconstruct smooth concentrations from a limited number of particles. This is an error-prone process that typically leads to large fluctuations in the determined late-time behavior of breakthrough curves (BTCs). Kernel density estimators (KDE) can be used to automatically reconstruct smooth BTCs from a small number of particles. The kernel approach incorporates the uncertainty associated with subsampling a la...
Paraules clau
Anomalous solute transport, Heterogeneity, Kernel density estimator, Particle tracking, Random walk
Grup de recerca
GHS - Grup d'Hidrologia Subterrània

Participants