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Hydrogeophysics: Parameter Estimation and Evaluation of Flow and Transport Models
Convener: Niklas Linde, ETH Zurich
Geophysical data that are sensitive to hydrological properties or dependent variables can provide independent information in hydrological modeling and inversion studies. Successful applications include: (i) estimating lithological zonations, (ii) providing direct constraints on hydrological parameters, (iii) incorporating geophysical data in hydrological inversions, and (iv) testing hydrological models and model predictions with geophysical models and time-lapse data. Complications in hydrogeophysical studies are often caused by non-unique relationships between geophysical models and data on the one hand, and hydrological properties and dependent variables on the other. Furthermore, the optimal target resolution in nonlinear inverse problems is difficult to define, such that error estimates of the resulting models and predictions are uncertain at best.
This special section will include method-oriented contributions that emphasize novel approaches for incorporating surface-based and crosshole geophysical data in quantitative hydrological flow and transport studies. Theoretical contributions and presentations based on field or laboratory experiments are most welcome. Research related to the integration or joint inversion of diverse data sets, model appraisal, ways to deal with space- and method-varying resolution, uncertainty estimation, and new hydrogeophysical rock physics models are also sought.
