Articles | Volume 28, issue 12
https://doi.org/10.5194/hess-28-2661-2024
https://doi.org/10.5194/hess-28-2661-2024
Research article
 | 
25 Jun 2024
Research article |  | 25 Jun 2024

A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models

Andrea Manzoni, Giovanni Michele Porta, Laura Guadagnini, Alberto Guadagnini, and Monica Riva

Viewed

Total article views: 1,150 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
868 230 52 1,150 78 45 43
  • HTML: 868
  • PDF: 230
  • XML: 52
  • Total: 1,150
  • Supplement: 78
  • BibTeX: 45
  • EndNote: 43
Views and downloads (calculated since 11 Dec 2023)
Cumulative views and downloads (calculated since 11 Dec 2023)

Viewed (geographical distribution)

Total article views: 1,150 (including HTML, PDF, and XML) Thereof 1,093 with geography defined and 57 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
We introduce a comprehensive methodology that combines multi-objective optimization, global sensitivity analysis (GSA) and 3D groundwater modeling to analyze subsurface flow dynamics across large-scale domains. In this way, we effectively consider the inherent uncertainty associated with subsurface system characterizations and their interactions with surface waterbodies. We demonstrate the effectiveness of our proposed approach by applying it to the largest groundwater system in Italy.