The New Zealand Active Faults Database

Langridge, R.; Ries, W.; Litchfield, Nicola; Villamor, Pilar; Dissen, R. J. Van; Barrell, Dja; Rattenbury, Mark; Heron, David; Haubrock, Soren; Townsend, D.; Lee, Jang-Ming; Berryman, K. R.; Nicol, Andy; Cox, Simon C.; Stirling, M

doi:10.1080/00288306.2015.1112818

Cited by 225 publications

(167 citation statements)

References 19 publications

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“…The database structure (see the Supplement) was inspired by other databases developed in the world, such as the ones from the USA (QFAULT; Haller et al, 2004), New Zealand (NZAFD; Langridge et al, 2016), Japan (Active Fault Database of Japan; AIST, 2016), Italy (ITHACA; Michetti et al, 2000) and Iberia (QAFI; García-Mayordomo et al, 2012). The proposed map for metropolitan France is associated with a relational database describing the state of knowledge for each fault segment.…”

Section: Discriminating Whether a Fault Is Considered Active Or Notmentioning

confidence: 99%

Transposing an active fault database into a seismic hazard fault model for nuclear facilities – Part 1: Building a database of potentially active faults (BDFA) for metropolitan France

Jomard

Cushing

Palumbo³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. The French Institute for Radiation Protection and Nuclear Safety (IRSN), with the support of the Ministry of Environment, compiled a database (BDFA) to define and characterize known potentially active faults of metropolitan France. The general structure of BDFA is presented in this paper. BDFA reports to date 136 faults and represents a first step toward the implementation of seismic source models that would be used for both deterministic and probabilistic seismic hazard calculations. A robustness index was introduced, highlighting that less than 15 % of the database is controlled by reasonably complete data sets. An example of transposing BDFA into a fault source model for PSHA (probabilistic seismic hazard analysis) calculation is presented for the Upper Rhine Graben (eastern France) and exploited in the companion paper (Chartier et al., 2017, hereafter Part 2) in order to illustrate ongoing challenges for probabilistic faultbased seismic hazard calculations.

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Section: Discriminating Whether a Fault Is Considered Active Or Notmentioning

confidence: 99%

Transposing an active fault database into a seismic hazard fault model for nuclear facilities – Part 1: Building a database of potentially active faults (BDFA) for metropolitan France

Jomard

Cushing

Palumbo³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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“…Active faults from the GNS Science Active Faults Database (Langridge et al, 2016) are shown in black. The temporal isolation of each phase of injection allows us to relate near-well seismicity to high-resolution injection parameters without contamination from multiple, concurrent injections.…”

Section: Introductionmentioning

confidence: 99%

Seismic Response to Injection Well Stimulation in a High‐Temperature, High‐Permeability Reservoir

Hopp

Sewell

Mroczek

et al. 2019

Geochem Geophys Geosyst

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Fluid injection into the Earth's crust can induce seismic events that cause damage to local infrastructure but also offer valuable insight into seismogenesis. The factors that influence the magnitude, location, and number of induced events remain poorly understood but include injection flow rate and pressure as well as reservoir temperature and permeability. The relationship between injection parameters and injection‐induced seismicity in high‐temperature, high‐permeability reservoirs has not been extensively studied. Here we focus on the Ngatamariki geothermal field in the central Taupō Volcanic Zone, New Zealand, where three stimulation/injection tests have occurred since 2012. We present a catalog of seismicity from 2012 to 2015 created using a matched‐filter detection technique. We analyze the stress state in the reservoir during the injection tests from first motion‐derived focal mechanisms, yielding an average direction of maximum horizontal compressive stress (SHmax) consistent with the regional NE‐SW trend. However, there is significant variation in the direction of maximum compressive stress (σ1), which may reflect geological differences between wells. We use the ratio of injection flow rate to overpressure, referred to as injectivity index, as a proxy for near‐well permeability and compare changes in injectivity index to spatiotemporal characteristics of seismicity accompanying each test. Observed increases in injectivity index are generally poorly correlated with seismicity, suggesting that the locations of microearthquakes are not coincident with the zone of stimulation (i.e., increased permeability). Our findings augment a growing body of work suggesting that aseismic opening or slip, rather than seismic shear, is the active process driving well stimulation in many environments.

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“…Relevant information about the active faults is available from the New Zealand Active Faults Database, which is widely used for geological research, hazard modeling, and infrastructure planning (Langridge et al 2016;Litchfield et al 2013). A multi-fault rupture model was reported by Hamling et al (2017).…”

Section: Coseismic Slip Modelmentioning

confidence: 99%

Coseismic and postseismic deformation associated with the 2016 Mw 7.8 Kaikoura earthquake, New Zealand: fault movement investigation and seismic hazard analysis

Jiang

Huang

Yuan

et al. 2018

Earth Planets Space

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The 2016 moment magnitude (Mw) 7.8 Kaikoura earthquake demonstrated that multiple fault segments can undergo rupture during a single seismic event. Here, we employ Global Positioning System (GPS) observations and geodetic modeling methods to create detailed images of coseismic slip and postseismic afterslip associated with the Kaikoura earthquake. Our optimal geodetic coseismic model suggests that rupture not only occurred on shallow crustal faults but also to some extent at the Hikurangi subduction interface. The GPS-inverted moment release during the earthquake is equivalent to a Mw 7.9 event. The near-field postseismic deformation is mainly derived from rightlateral strike-slip motions on shallow crustal faults. The afterslip did not only significantly extend northeastward on the Needles fault but also appeared at the plate interface, slowly releasing energy over the past 6 months, equivalent to a Mw 7.3 earthquake. Coulomb stress changes induced by coseismic deformation exhibit complex patterns and diversity at different depths, undoubtedly reflecting multi-fault rupture complexity associated with the earthquake. The Coulomb stress can reach several MPa during coseismic deformation, which can explain the trigger mechanisms of afterslip in two high-slip regions and the majority of aftershocks. Based on the deformation characteristics of the Kaikoura earthquake, interseismic plate coverage, and historical earthquakes, we conclude that Wellington is under higher seismic threat after the earthquake and great attention should be paid to potential large earthquake disasters in the near future.

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The New Zealand Active Faults Database

Cited by 225 publications

References 19 publications

Transposing an active fault database into a seismic hazard fault model for nuclear facilities – Part 1: Building a database of potentially active faults (BDFA) for metropolitan France

Transposing an active fault database into a seismic hazard fault model for nuclear facilities – Part 1: Building a database of potentially active faults (BDFA) for metropolitan France

Seismic Response to Injection Well Stimulation in a High‐Temperature, High‐Permeability Reservoir

Coseismic and postseismic deformation associated with the 2016 Mw 7.8 Kaikoura earthquake, New Zealand: fault movement investigation and seismic hazard analysis

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