Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null-space Monte Carlo and multiple starting point methods

Water Resources Research

Volumn 49, Issue 1, 2013, Pages 536-553

  Yoon, Hongkyu ^a   Hart, David B ^a   McKenna, Sean A ^a  

^a SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GROUNDWATER; GROUNDWATER FLOW; INVERSE PROBLEMS; MONTE CARLO METHODS; PILOT PLANTS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRAVEL TIME; UNCERTAINTY ANALYSIS;

CALIBRATION SOLUTIONS; COMPUTATIONALLY EFFICIENT; CONSTRAINED PARAMETERS; GROUNDWATER MODELING; PREDICTIVE UNCERTAINTY; PROBABILISTIC ENSEMBLE; STOCHASTIC INVERSE MODELING; WASTE ISOLATION PILOT PLANTS;

PARAMETER ESTIMATION;

CALIBRATION; DOLOMITE; ENSEMBLE FORECASTING; GROUNDWATER FLOW; INVERSE ANALYSIS; MONTE CARLO ANALYSIS; PARAMETERIZATION; PREDICTION; SUBSURFACE FLOW; TRANSPORT PROCESS; TRAVEL TIME; UNCERTAINTY ANALYSIS;

NEW MEXICO; UNITED STATES;

EID: 84876587509     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20064     Document Type: Article

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