Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach. COMPUTERS & CHEMICAL ENGINEERING, (89):11-26, PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, June 2016. [PUMA: Finite Uncertainty Polynomial quantification; chaos; Hybrid method} projection; Galerkin volume Galerkin; stochastic model; {Clarifier-thickener]
UNCERTAINTY QUANTIFICATION FOR HYPERBOLIC CONSERVATION LAWS WITH FLUX COEFFICIENTS GIVEN BY SPATIOTEMPORAL RANDOM FIELDS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, (38)4:A2209-A2231, SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA, 2016. [PUMA: hyperbolic field; field} finite Carlo quantification; Monte method; differential uncertainty random Ornstein-Uhlenbeck {stochastic volume flux equation; spatiotemporal Gaussian partial process; function;]