Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
We present a novel approach to mapping the storage coefficient (<i>Sk</i>) from InSAR-derived surface deformation and S-wave velocity (<i>Vs</i>). We first constructed a 3D <i>Vs</i> model in the Kumamoto area, southwest Japan, by applying 3D empirical Bayesian kr...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/79bf9305466f4c5d930f35b0bb8e3d57 |
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| Sumario: | We present a novel approach to mapping the storage coefficient (<i>Sk</i>) from InSAR-derived surface deformation and S-wave velocity (<i>Vs</i>). We first constructed a 3D <i>Vs</i> model in the Kumamoto area, southwest Japan, by applying 3D empirical Bayesian kriging to the 1D <i>Vs</i> profiles estimated by the surface-wave analysis at 676 measured points. We also used the time series of InSAR deformation and groundwater-level data at 13 well sites covering April 2016 and December 2018 and estimated the <i>Sk</i> of the confined aquifer. The <i>Sk</i> estimated from InSAR, and well data ranged from ~0.03 to 2 × 10<sup>−3</sup>, with an average of 7.23 × 10<sup>−3</sup>, values typical for semi-confined and confined conditions. We found a clear relationship between the <i>Sk</i> and <i>Vs</i> at well locations, indicating that the compressibility of an aquifer is related to the stiffness or <i>Vs</i>. By applying the relationship to the 3D <i>Vs</i> model, we succeeded in mapping the <i>Sk</i> in an extensive area. Furthermore, the estimated <i>Sk</i> distribution correlates well with the hydrogeological setting: semi-confined conditions are predicted in the Kumamoto alluvial plain with a high <i>Sk</i>. Our approach is thus effective for estimating aquifer storage properties from <i>Vs</i>, even where limited groundwater-level data are available. Furthermore, we can estimate groundwater-level variation from the geodetic data. |
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