About GEM Center
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To develop, demonstrate, and promote an integrated, data-driven approach to groundwater evaluation and management that utilizes advanced and emerging technologies.
Long-Term Research Goals
- To improve the quantitative and qualitative understanding of hydrogeological properties and processes through the use of geophysical data.
- To characterize the properties, which control the storage and movement groundwater in the subsurface, with the accuracy and spatial coverage needed to parameterize models.
- Relate geophysical and other forms of data to hydrogeological processes/properties in order to obtain qualitative and quantitative, static and dynamic, information.
- Use more spatially extensive geophysical data to link borehole(geophysical and hydrogeological) and other point measurements to hydraulic properties at a range of temporal and spatial scales (local, catchment and/or watershed).
- Integrate hydrogeologic processes into the acquisition, processing, inversion/interpretation and modeling of the observed geophysical signals.
- Integrate geophysical and all other forms of data by accounting for the physics of each measurement, and the resulting variation in the measured parameter, measurement scale, and resolution.
- Use rock physics relationships to transform measured geophysical parameters to the hydrologic parameters of interest.
- Estimate the hydrologic parameters of interest through the use of various integration methods and joint inversion methods.
Short-Term (4-year) Research Goals
- Obtain better conceptual and numerical models to predict dynamic behavior.
- Develop new rock physics relationships and upscaling methodologies to derive hydrogeological properties from geophysical parameters.
- Improve joint geophysical and hydrogeological inversions.
- Establish a state-of-the art methodology: Improve the selection and combination of geophysical methods for specific groundwater applications such as artificial recharge and coastal zones/seawater intrusion (forward modeling, survey evaluation and design). Improve 'seamless' data flow from acquisition to interpretation.
- Demonstrate the benefits of combining borehole data (logging data) for calibration (i.e as compared to 'standard' hydrologeologic well data) of surface geophysical methods and optimal inversion.
- Test the benefits of geophysical spatio-temporal sampling (i.e time-lapse or 4D) (i.e. as compared to 'standard' hydrogeologic data).
- Improve geophysical methods that utilize existing instruments. This includes all aspects of data acquisition, modeling and inversion.