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Earthquakes at GNS Kevin Fenaughty GeoNet Data Centre Manager Content • Hypocentres: origin time, latitude, longitude and depth • Magnitudes • Standard errors and quality information • “Felt” reports Structure • Each event can have many locations • Each location can have many magnitude determinations • Each event has a prime estimate to flatten the data for most purposes EVENT LOCATION MAGNITUDE Major characteristics • Stored in Oracle • Real-time updates from a VMS client • Publicly available from www.geonet.org.nz Users • • • • In-house GNS staff World-wide research community Insurance industry Schools Uses • Plotting seismicity maps – generally the first step in any seismological study • Looking for statistical trends: developing forecasting techniques • Investigating damage claims New Zealand deep seismicity Relationships • Earthquakes are linked to both the GNS landslide database and the active faults database • Hypocentres above magnitude 3.7 are provided to the International Seismological Centre in the United Kingdom for their world-wide catalogue Development plans • After July 2003, to make earthquake waveform data publicly accessible • After January 2004, to allow “felt” reports to be made on-line by the general public • Long-term: get into scientists’ “bottom drawers” for special studies Volcanoes at GNS Kevin Fenaughty on behalf of Brad Scott Volcano Surveillance Coordinator Content • • • • • • • • Visual observations Photographs Lake, stream and spring temperatures Water and gas chemistry Volcanic earthquakes Volcanic tremor Ground deformation Geology Another day at the office… Structure • Much of the data is digital, but not in a relational database • Apart from geology, most data can be organised as a time series Users • Direct users: – In-house GNS staff – World-wide research community • Indirect users (value-added): – Local, regional and central government agencies – The tourism and aviation industry – Media and the public Uses • Development of volcano monitoring techniques • Quantifying volcano behaviour • Eruption prediction • Ashfall prediction for aviation industry Relationships • The collection of volcanic gas and water chemistry data will be added to the GNS groundwater database • Lightning and wind information is supplied by MetService Development plans • Use the same tables as the GNS groundwater database to store low-volume time series data • Develop web-based graphical tools for displaying time series parameters • Long-term: preserve the knowledge behind paper-based archives