Hydrologic Precursors
Abstract Predicting earthquakes is a long-desired goal. The main challenge is to identify precursory signals that reliably predict the impending earthquake. Since hydrological and hydrogeochemical properties and processes can be very sensitive to minute strains, the hope is that measurements from hy...
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2021
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crspringernat:10.1007/978-3-030-64308-9_13 2024-03-10T08:35:31+00:00 Hydrologic Precursors Wang, Chi-Yuen Manga, Michael 2021 http://dx.doi.org/10.1007/978-3-030-64308-9_13 https://link.springer.com/content/pdf/10.1007/978-3-030-64308-9_13 unknown Springer International Publishing https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 Lecture Notes in Earth System Sciences Water and Earthquakes page 343-368 ISSN 2193-8571 2193-858X ISBN 9783030643072 9783030643089 book-chapter 2021 crspringernat https://doi.org/10.1007/978-3-030-64308-9_13 2024-02-13T21:37:26Z Abstract Predicting earthquakes is a long-desired goal. The main challenge is to identify precursory signals that reliably predict the impending earthquake. Since hydrological and hydrogeochemical properties and processes can be very sensitive to minute strains, the hope is that measurements from hydrological systems might record precursory rock deformation that would otherwise be undetectable. Of the many hundreds of studies, we review a subset to illustrate how signals can be challenging to interpret and highlight questions raised by observations—examples come from China, Japan, Taiwan, India, the USA, Russia, France, Italy and Iceland. All are retrospective studies. Some signals seem to have no other explanation than being precursory, however, rarely is enough data available to undertake a thorough analysis. Some hydrological precursors might be recording deformation events that are slower than traditional earthquakes (and hence usually harder to detect). Long times series of data are critical for both identifying putative precursors and assessing their origin and reliability. Book Part Iceland Springer Nature 343 368 |
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Springer Nature |
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description |
Abstract Predicting earthquakes is a long-desired goal. The main challenge is to identify precursory signals that reliably predict the impending earthquake. Since hydrological and hydrogeochemical properties and processes can be very sensitive to minute strains, the hope is that measurements from hydrological systems might record precursory rock deformation that would otherwise be undetectable. Of the many hundreds of studies, we review a subset to illustrate how signals can be challenging to interpret and highlight questions raised by observations—examples come from China, Japan, Taiwan, India, the USA, Russia, France, Italy and Iceland. All are retrospective studies. Some signals seem to have no other explanation than being precursory, however, rarely is enough data available to undertake a thorough analysis. Some hydrological precursors might be recording deformation events that are slower than traditional earthquakes (and hence usually harder to detect). Long times series of data are critical for both identifying putative precursors and assessing their origin and reliability. |
format |
Book Part |
author |
Wang, Chi-Yuen Manga, Michael |
spellingShingle |
Wang, Chi-Yuen Manga, Michael Hydrologic Precursors |
author_facet |
Wang, Chi-Yuen Manga, Michael |
author_sort |
Wang, Chi-Yuen |
title |
Hydrologic Precursors |
title_short |
Hydrologic Precursors |
title_full |
Hydrologic Precursors |
title_fullStr |
Hydrologic Precursors |
title_full_unstemmed |
Hydrologic Precursors |
title_sort |
hydrologic precursors |
publisher |
Springer International Publishing |
publishDate |
2021 |
url |
http://dx.doi.org/10.1007/978-3-030-64308-9_13 https://link.springer.com/content/pdf/10.1007/978-3-030-64308-9_13 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Lecture Notes in Earth System Sciences Water and Earthquakes page 343-368 ISSN 2193-8571 2193-858X ISBN 9783030643072 9783030643089 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.1007/978-3-030-64308-9_13 |
container_start_page |
343 |
op_container_end_page |
368 |
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1793131910710427648 |