ABSTRACT
In hydrogeology, accurate predication of groundwater flow and solute transport relies on detailed knowledge of spatial distribution of hydraulic parameters. However, the subsurface structure is naturally heterogeneous at different scales. To obtain detailed spatially distribution of hydraulic parameters for a field problem, a direct measurement method usually requires a large number of measurements at many different locations, which is high costly and impractical (Cai & Yeh 2008). On the other hand, direct aquifer responses (i.e., hydraulic head) and indirect aquifer responses (i.e., surface deformation) are relatively inexpensive and easy to measure in practice. Theoretically, these responses can be used to inverse the characterization of deep underground such as the spatial distribution of hydraulic parameters. However, the detailed aquifer characterization using responses requires large number of measurements, therefore, requires cost-effective data collecting techniques (Li et al. 2009). Up to now, some methods using direct or indirect aquifer responses have been conducted to characterize aquifer parameters (de Barros & Rubin 2008, Gish et al. 2002, Ito et al. 2004, Vasco et al. 2002, Zhu & Yeh 2005). As a novel data measuring technique, the satellite InSAR observation method is not far mature with application to characterization of subsurface flow, though latest satellite technologies have greatly improved the development of this new method. In this paper, we firstly use CR-PS-InSAR technique to infer the earth’s surface deformation, and firstly use these measurements as indirect subsurface responses to conduct hydrogeological site characterization (Li & Ito 2008). The most innovation of our research program is to build a flexible modeling system to bridge CR-PS-InSAR measurements (and/or
tilt data) with subsurface parameters (i.e., head and/or permeability) via a strong coupled inverse analysis.
