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spelling ftfrontimediafig:oai:figshare.com:article/13292195 2023-05-15T16:58:44+02:00 datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx Galina Kopylova Svetlana Boldina 2020-11-26T10:42:13Z https://doi.org/10.3389/feart.2020.576017.s002 https://figshare.com/articles/dataset/datasheet2_Hydrogeological_Earthquake_Precursors_A_Case_Study_From_the_Kamchatka_Peninsula_docx/13292195 unknown doi:10.3389/feart.2020.576017.s002 https://figshare.com/articles/dataset/datasheet2_Hydrogeological_Earthquake_Precursors_A_Case_Study_From_the_Kamchatka_Peninsula_docx/13292195 CC BY 4.0 CC-BY Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change precursor earthquake seismic forecast observational well water-level Kamchatka Peninsula groundwater chemical composition Dataset 2020 ftfrontimediafig https://doi.org/10.3389/feart.2020.576017.s002 2020-12-02T23:58:50Z The relevance of hydrogeological precursors (HGPs) study is justified by the need to obtain reliable information about the spatio-temporal manifestations and the relationships of HGPs with the parameters of subsequent earthquakes for seismic forecasting. In the review the data on repeated manifestations of HGPs before strong earthquakes obtained from long-term observations in five deep wells on the Kamchatka Peninsula (Far East of Russia) are presented. The analysis of the correlation of HGPs occurring in several wells is carried out in comparison with earthquake parameters characterizing both earthquake sources (magnitude, linear size of the source) and the impact of earthquakes in the area of wells (specific energy density in wave, intensity of shaking). It is shown that the manifestation of HGPs in several wells is observed before earthquakes with M w = 6.6–7.8 at epicentral distances up to the first hundreds of km to observation wells in the near and intermediate zones of the sources with the ratio of the epicentral distances and the source sizes no more than 1–5. A feature of our study was the use of certain types of HGPs in water-level changes for predictive assessments of the strong earthquakes in the Kamchatka Peninsula. The review presents precursors in water-level changes detected in real time and the corresponding earthquake forecasts, which were recognized as successful according to the conclusions of the expert council on earthquake prediction. Dataset Kamchatka Kamchatka Peninsula Frontiers: Figshare Kamchatka Peninsula ENVELOPE(160.000,160.000,56.000,56.000)
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Solid Earth Sciences
Climate Science
Atmospheric Sciences not elsewhere classified
Exploration Geochemistry
Inorganic Geochemistry
Isotope Geochemistry
Organic Geochemistry
Geochemistry not elsewhere classified
Igneous and Metamorphic Petrology
Ore Deposit Petrology
Palaeontology (incl. Palynology)
Structural Geology
Tectonics
Volcanology
Geology not elsewhere classified
Seismology and Seismic Exploration
Glaciology
Hydrogeology
Natural Hazards
Quaternary Environments
Earth Sciences not elsewhere classified
Evolutionary Impacts of Climate Change
precursor
earthquake
seismic forecast
observational well
water-level
Kamchatka Peninsula
groundwater chemical composition
spellingShingle Solid Earth Sciences
Climate Science
Atmospheric Sciences not elsewhere classified
Exploration Geochemistry
Inorganic Geochemistry
Isotope Geochemistry
Organic Geochemistry
Geochemistry not elsewhere classified
Igneous and Metamorphic Petrology
Ore Deposit Petrology
Palaeontology (incl. Palynology)
Structural Geology
Tectonics
Volcanology
Geology not elsewhere classified
Seismology and Seismic Exploration
Glaciology
Hydrogeology
Natural Hazards
Quaternary Environments
Earth Sciences not elsewhere classified
Evolutionary Impacts of Climate Change
precursor
earthquake
seismic forecast
observational well
water-level
Kamchatka Peninsula
groundwater chemical composition
Galina Kopylova
Svetlana Boldina
datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx
topic_facet Solid Earth Sciences
Climate Science
Atmospheric Sciences not elsewhere classified
Exploration Geochemistry
Inorganic Geochemistry
Isotope Geochemistry
Organic Geochemistry
Geochemistry not elsewhere classified
Igneous and Metamorphic Petrology
Ore Deposit Petrology
Palaeontology (incl. Palynology)
Structural Geology
Tectonics
Volcanology
Geology not elsewhere classified
Seismology and Seismic Exploration
Glaciology
Hydrogeology
Natural Hazards
Quaternary Environments
Earth Sciences not elsewhere classified
Evolutionary Impacts of Climate Change
precursor
earthquake
seismic forecast
observational well
water-level
Kamchatka Peninsula
groundwater chemical composition
description The relevance of hydrogeological precursors (HGPs) study is justified by the need to obtain reliable information about the spatio-temporal manifestations and the relationships of HGPs with the parameters of subsequent earthquakes for seismic forecasting. In the review the data on repeated manifestations of HGPs before strong earthquakes obtained from long-term observations in five deep wells on the Kamchatka Peninsula (Far East of Russia) are presented. The analysis of the correlation of HGPs occurring in several wells is carried out in comparison with earthquake parameters characterizing both earthquake sources (magnitude, linear size of the source) and the impact of earthquakes in the area of wells (specific energy density in wave, intensity of shaking). It is shown that the manifestation of HGPs in several wells is observed before earthquakes with M w = 6.6–7.8 at epicentral distances up to the first hundreds of km to observation wells in the near and intermediate zones of the sources with the ratio of the epicentral distances and the source sizes no more than 1–5. A feature of our study was the use of certain types of HGPs in water-level changes for predictive assessments of the strong earthquakes in the Kamchatka Peninsula. The review presents precursors in water-level changes detected in real time and the corresponding earthquake forecasts, which were recognized as successful according to the conclusions of the expert council on earthquake prediction.
format Dataset
author Galina Kopylova
Svetlana Boldina
author_facet Galina Kopylova
Svetlana Boldina
author_sort Galina Kopylova
title datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx
title_short datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx
title_full datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx
title_fullStr datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx
title_full_unstemmed datasheet2_Hydrogeological Earthquake Precursors: A Case Study From the Kamchatka Peninsula.docx
title_sort datasheet2_hydrogeological earthquake precursors: a case study from the kamchatka peninsula.docx
publishDate 2020
url https://doi.org/10.3389/feart.2020.576017.s002
https://figshare.com/articles/dataset/datasheet2_Hydrogeological_Earthquake_Precursors_A_Case_Study_From_the_Kamchatka_Peninsula_docx/13292195
long_lat ENVELOPE(160.000,160.000,56.000,56.000)
geographic Kamchatka Peninsula
geographic_facet Kamchatka Peninsula
genre Kamchatka
Kamchatka Peninsula
genre_facet Kamchatka
Kamchatka Peninsula
op_relation doi:10.3389/feart.2020.576017.s002
https://figshare.com/articles/dataset/datasheet2_Hydrogeological_Earthquake_Precursors_A_Case_Study_From_the_Kamchatka_Peninsula_docx/13292195
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/feart.2020.576017.s002
_version_ 1766050822101139456