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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