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A probabilistic model of aquifer susceptibility to earthquake-induced groundwater-level changes

Konrad C. Weaver, R. Arnold, C. Holden, J. Townend and S. C. Cox
A probabilistic model of aquifer susceptibility to earthquake-induced groundwater-level changes
Bulletin of the Seismological Society of America (May 2020) 110 (3): 1046-1063

Abstract

A probabilistic model for earthquake-induced persistent groundwater-level response as a function of peak ground velocity (PGV) has been constructed using a catalog of monitoring well observations spanning multiple earthquakes. The regional-scale, multi-site, multi-earthquake investigation addresses the occurrence and absence of hydraulic responses to large earthquakes spanning almost a decade of seismic shaking. Persistent groundwater-level changes, or absences of change, have been quantified in 495 monitoring wells in response to one or more of 11 recent New Zealand earthquakes larger than Mw 5.4 that occurred between 2008 and 2017. A binary logistic regression model with random effects has been applied to the dataset using three predictors: earthquake shaking (PGV), degree of hydrogeological confinement (monitoring well depth), and rock strength (site-average shear-wave velocity). Random effects were included as a partial proxy for variations in monitoring wells' susceptibilities to earthquake-induced persistent water-level changes. Marginal probabilities have been calculated as a function of PGV and related to modified Mercalli intensity (MMI) levels using a New Zealand-specific MMI-PGV relationship that enables the likelihood of persistent water-level changes to be expressed for MMIs of II-VIII. This study capitalizes on one of the largest catalogs of earthquake hydrological observations compiled worldwide and is the first attempt at incorporating seismic and hydrogeological factors in a common probabilistic description of earthquake-induced groundwater-level changes. This modeling framework provides a more generalizable approach to quantifying responses than alternative metrics based on epicentral distance, magnitude, and seismic energy density. It has potential to enable better comparison of international studies and to inform practitioners making engineering or investment decisions to mitigate risk and increase the resilience of water-supply infrastructure.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 110
Serial Issue: 3
Title: A probabilistic model of aquifer susceptibility to earthquake-induced groundwater-level changes
Affiliation: Victoria University of Wellington, School of Geography, Environment and Earth Sciences, Wellington, New Zealand
Pages: 1046-1063
Published: 20200512
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 85
Accession Number: 2020-057895
Categories: SeismologyHydrogeology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 9 tables, sketch maps
S47°30'00" - S34°30'00", E166°30'00" - E178°30'00"
Secondary Affiliation: GNS Science, NZL, New Zealand
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2020, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202035
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