The National Seismic Hazard Model (NSHM) for New Zealand provides probabilistic estimates of the strength of earthquake shaking that can be expected according to a user-defined time period and probability, e.g. the peak ground acceleration (PGA) that has a 10% chance of happening in any 50 year time window. Probabilistic Seismic Hazard Analysis (PSHA) uses the location, recurrence behaviour, and predicted ground motions of earthquake sources to estimate the hazard at a site, or across a grid of sites as shown in the map below for Class C (shallow soil) site conditions. The NSHM is an algorithm that draws upon several component models to calculate its results. It uses a fault model that combines New Zealand’s active fault database, which includes 536 fault sources, and the 170 year historical earthquake catalogue. The background model is comprised of a multi-layered background seismicity grid DOI: https://doi.org/10.21420/MX74-Q807 Site as: GNS Science. (2020). National Seismic Hazard Model (NSHM) for New Zealand. GNS Science. https://doi.org/10.21420/MX74-Q807

This dataset contains onshore active faults data for New Zealand. Active faults in New Zealand are defined as those that have ruptured and/or caused ground deformation during the last 125,000 years (except for in the Taupo Volcanic Zone, where the definition of activity is restricted to only include the last 25,000 years). The dataset is produced by GNS Science and represents the most current mapping of active faults for New Zealand in a single dataset, designed for portrayal at 1:250,000. The data are derived from the QMAP Geological Map of New Zealand Project and the high resolution New Zealand Active Faults Database (NZAFD). The primary source of the dataset is an ESRI vector feature class managed in a PostgreSQL database, with updates intermittently published to the GNS ArcGIS server as a web map service. The data can also be viewed through the NZAFD website and downloaded from there in shapefile, KML, JSON and text formats; however, these are not updated as frequently as the map service and are static copies of the database with the timestamp in the file name. The dataset comprises polylines, with each line representing the location of an active fault trace at or near the surface. Each fault trace has attributes that describes its name, orientation, displacement, sense of movement, time of last movement and other fault activity parameters. DOI: https://doi.org/10.21420/R1QN-BM52 Cite data as: GNS Science. (2016). New Zealand Active Faults Database 1:250,000 scale [Data set]. GNS Science. https://doi.org/10.21420/R1QN-BM52

This dataset contains 2016 Kaikōura surface ruptures mapped at a scale of 1:250,000. The dataset is simplified to this scale from the high resolution New Zealand Active Faults Database (NZAFD). Please note this dataset is a subset taken from NZAFD 1:250,000 scale (the primary source) on the 28 July 2020. The primary source of the dataset is an ESRI vector feature class managed in a PostgreSQL database, with updates intermittently published to the GNS ArcGIS server as a web map service. The data can also be viewed through the NZAFD website and downloaded from there in shapefile, KML, JSON and text formats. The dataset comprises polylines, with each line representing the location of an active fault trace at or near the surface. Each fault trace has attributes that describes its name, orientation, displacement, sense of movement, time of last movement and other fault activity parameters. DOI: https://doi.org/10.21420/KG20-N635 Cite data as: GNS Science. (2019). 2016 Kaikōura surface ruptures 1:250,000 scale [Data set]. GNS Science. https://doi.org/10.21420/KG20-N635