Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework

DOI10.1007/S00477-010-0384-1zbMath1409.62236OpenAlexW1989843961MaRDI QIDQ1731722

Albert J. Valocchi, Douglas D. Walker, Abhishek Singh, Barbara S. Minsker

Publication date: 14 March 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-010-0384-1

zbMATH Keywords

uncertaintyinteractiveregularizationcalibrationgenetic algorithmgroundwaterstochasticmulti-objective

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• GSLIB
• DSSIM-HR

Cites Work

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• Estimating the dimension of a model
• Conditioning mean steady state flow on hydraulic head and conductivity through geostatistical inversion
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Special issue: Stochastic approaches to subsurface hydrology. Selected papers of the ModelCARE 2002 conference, Prague, Czech Republic, June 17--20, 2002.
• Direct sequential simulation and cosimulation
• Optimal Choice of AR and MA Parts in Autoregressive Moving Average Models
• Bayes Factors

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