Articles | Volume 382
https://doi.org/10.5194/piahs-382-457-2020
https://doi.org/10.5194/piahs-382-457-2020
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

Blending measurements and numerical models: a novel methodological approach for land subsidence prediction with uncertainty quantification

Laura Gazzola, Massimiliano Ferronato, Matteo Frigo, Pietro Teatini, Claudia Zoccarato, Anna Antonia Irene Corradi, Maria Carolina Dacome, Ernesto Della Rossa, Michela De Simoni, and Stefano Mantica

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Cited articles

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Baù, D., Alzraiee, A., Zoccarato, C., Gambolati, G., Ferronato, M., Bottazzi, F., Mantica, S., and Teatini, P.: Testing a data assimilation approach to reduce geomechanical uncertainties in modelling land subsidence, Environmental Geotechnics, 3, 386–396, https://doi.org/10.1680/envgeo.15.00005, 2016. a, b
Chen, Y. and Oliver, D.: Levenberg-Marquardt forms of the iterative ensemble smoother for efficient hystory matching and uncertainty quantification, Computat. Geosci., 17, 689–703, https://doi.org/10.1007/s10596-013-9351-5, 2013. a
De Souza Neto, E., Peric, D., and Owen, D.: Computational methods for plasticity, theory and application, Wiley, UK, https://doi.org/10.1002/9780470694626, 814 pp., 2008. a
Evensen, G.: The Ensemble Kalman Filer:theoretical formulation and pratical implementation, Ocean Dynam., 53, 343–367, https://doi.org/10.1007/s10236-003-0036-9, 2003. a