Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin
DOI10.1007/S13137-023-00219-8zbMath1524.76441arXiv2210.17388OpenAlexW4366210969MaRDI QIDQ6170700
Sauro Manenti, Giancarlo Sangalli, Alessandro Reali, Sara Todeschini, Lorenzo Tamellini, Emily A. Baker
Publication date: 13 July 2023
Published in: GEM - International Journal on Geomathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.17388
Monte Carlo methods (65C05) Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Inverse problems in geophysics (86A22) Geostatistics (86A32) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)
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