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Title: Detecting groundwater level changes related to the 2016 Kumamoto Earthquake
Authors: Yamamoto, Shun
Koike, Katsuaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-2195-1369 (unconfirmed)
Yamashiki, Yosuke Alexandre
Shimada, Jun
Author's alias: 山本, 駿
小池, 克明
山敷, 庸亮
嶋田, 純
Keywords: Hydrogeology
Seismology
Issue Date: 21-Dec-2023
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 13
Thesis number: 22916
Abstract: This study presented the first attempt to detect precursory changes in groundwater level before the 2016 Kumamoto Earthquake. This detection was achieved by accurately determining the relationship between long-term groundwater level fluctuation and crustal deformation over 16 years through analysis of groundwater level time-series data acquired at 17 sites within the study area. Here, we show that the observed groundwater levels were lower than the modelled levels in aquifers composed of porous strata (Togawa lava and part of the pre-Aso volcanic rocks), and that there were larger differences until 2014, which diminished until the occurrence of the Kumamoto Earthquake. The initial reduction in the modelled groundwater level and the latter recovery were most likely caused by crustal strain relaxation associated with the large 2011 earthquake off the Pacific coast of Tohoku (Mw 9.0) and the strain accumulation prior to the 2016 Kumamoto Earthquake.
Description: 直下型地震と地下水位変動の関係の解明 --地下水位は地殻歪みを感知するセンサーとして機能--. 京都大学プレスリリース. 2024-03-07.
Rights: © The Author(s) 2023
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
URI: http://hdl.handle.net/2433/287273
DOI(Published Version): 10.1038/s41598-023-50133-0
PubMed ID: 38129502
Related Link: https://www.kyoto-u.ac.jp/ja/research-news/2024-03-07-1
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