Abstract
Repeated manifestations of hydrogeochemical anomalies in groundwater ion content variations before local strong earthquakes were recorded in three flowing wells of the Petropavlovsk-Kamchatsky test site. A model of changes in chemical composition of groundwater is considered using observational data and modeling of two waters mixing with contrasting composition in a zone of increased permeability in aquifer. Hydrodynamic parameters of the model—relaxation time of water pressure impulses and the time of mixed water movement in aquifer and wellbore—can vary from days to hundreds of days in individual wells. These parameters determine the duration and morphological features of anomaly in mixed water from a well. Using observational data from self-flowing well M-1, an assessment was made of chemical composition and mineralization of two mixing waters and their ratio in mixed water under background conditions and during the preparation of earthquake on 2 March 1992, Mw = 6.9.
Highlights
Observations of ion-salt groundwater composition in wells to search for hydrogeochemical earthquake precursors (HGCP) have been carried out for more fifty years in seismically active regions of the Earth, including Russia [1,2], Uzbekistan [3], China [4], India [5], Japan [6], Italy [7], Iceland [8] and other countries [9]
This paper presents data on preseismic groundwater ion content variations obtained as a result of hydrogeochemical observations in three flowing wells on the Kamchatka
On the Kamchatka Peninsula, hydrogeochemical anomalies were observed in three self-flowing wells for a period of one to nine months before six earthquakes with Mw = 6.5
Summary
Observations of ion-salt groundwater composition in wells to search for hydrogeochemical earthquake precursors (HGCP) have been carried out for more fifty years in seismically active regions of the Earth, including Russia [1,2], Uzbekistan [3], China [4], India [5], Japan [6], Italy [7], Iceland [8] and other countries [9] Such studies are carried out to obtain data on spatiotemporal manifestations of HGCP, depending on parameters of earthquakes and to assess the prospects for using HGCP for earthquake prediction.
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