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 (Sk) from InSAR-derived surface deformation and S-wave velocity (Vs). We first constructed a 3D Vs model in the Kumamoto area, southwest Japan, by applying 3D empirical Bayesian kr...

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Autores principales:	Mohamed Mourad, Takeshi Tsuji, Tatsunori Ikeda, Kazuya Ishitsuka, Shigeki Senna, Kiyoshi Ide
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	storage coefficient InSAR-derived deformation S-wave velocity microtremor survey Science Q
Acceso en línea:	https://doaj.org/article/79bf9305466f4c5d930f35b0bb8e3d57
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spelling	oai:doaj.org-article:79bf9305466f4c5d930f35b0bb8e3d572021-11-11T18:55:14ZMapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan10.3390/rs132143912072-4292https://doaj.org/article/79bf9305466f4c5d930f35b0bb8e3d572021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4391https://doaj.org/toc/2072-4292We 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.Mohamed MouradTakeshi TsujiTatsunori IkedaKazuya IshitsukaShigeki SennaKiyoshi IdeMDPI AGarticlestorage coefficientInSAR-derived deformationS-wave velocitymicrotremor surveyScienceQENRemote Sensing, Vol 13, Iss 4391, p 4391 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	storage coefficient InSAR-derived deformation S-wave velocity microtremor survey Science Q
spellingShingle	storage coefficient InSAR-derived deformation S-wave velocity microtremor survey Science Q Mohamed Mourad Takeshi Tsuji Tatsunori Ikeda Kazuya Ishitsuka Shigeki Senna Kiyoshi Ide Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
description	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.
format	article
author	Mohamed Mourad Takeshi Tsuji Tatsunori Ikeda Kazuya Ishitsuka Shigeki Senna Kiyoshi Ide
author_facet	Mohamed Mourad Takeshi Tsuji Tatsunori Ikeda Kazuya Ishitsuka Shigeki Senna Kiyoshi Ide
author_sort	Mohamed Mourad
title	Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
title_short	Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
title_full	Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
title_fullStr	Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
title_full_unstemmed	Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan
title_sort	mapping aquifer storage properties using s-wave velocity and insar-derived surface displacement in the kumamoto area, southwest japan
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/79bf9305466f4c5d930f35b0bb8e3d57
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Mapping Aquifer Storage Properties Using S-Wave Velocity and InSAR-Derived Surface Displacement in the Kumamoto Area, Southwest Japan

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