openquake.hmtk.seismicity.declusterer package

Submodules

openquake.hmtk.seismicity.declusterer.base module

Module openquake.hmtk.parsers.catalogue.base defines an abstract base class for CatalogueParser.

class openquake.hmtk.seismicity.declusterer.base.BaseCatalogueDecluster[source]

Bases: object

Abstract base class for implementation of declustering algorithms

decluster(catalogue, config)[source]

Implements declustering algorithms

Parameters:
  • catalogue – Catalogue of earthquakes
  • config (Dictionary) – Declustering configuration dictionary

Returns two vectors

openquake.hmtk.seismicity.declusterer.dec_afteran module

class openquake.hmtk.seismicity.declusterer.dec_afteran.Afteran[source]

Bases: openquake.hmtk.seismicity.declusterer.base.BaseCatalogueDecluster

This implements the Afteran algorithm as described in this paper: Musson, R. (1999), Probabilistic seismic hazard maps for the North Balkan Region, Annali Di Geofisica, 42(6), 1109 - 1124

decluster(catalogue, config)[source]

catalogue_matrix, window_opt=TDW_GARDNERKNOPOFF, time_window=60.):

Parameters:
  • catalogue (Instance of the openquake.hmtk.seismicity.catalogue.Catalogue() class) – a catalogue object
  • window_opt (string) – method used in calculating distance and time windows
  • time_window (positive float) – Length (in days) of moving time window
Returns:

vcl vector indicating cluster number, flagvector indicating which earthquakes belong to a cluster
Return type:

numpy.ndarray

openquake.hmtk.seismicity.declusterer.dec_gardner_knopoff module

Module openquake.hmtk.seismicity.declusterer.dec_gardner_knopoff defines the Gardner and Knopoff declustering algorithm

class openquake.hmtk.seismicity.declusterer.dec_gardner_knopoff.GardnerKnopoffType1[source]

Bases: openquake.hmtk.seismicity.declusterer.base.BaseCatalogueDecluster

This class implements the Gardner Knopoff algorithm as described in this paper: Gardner, J. K. and Knopoff, L. (1974). Is the sequence of aftershocks in Southern California, with aftershocks removed, poissonian?. Bull. Seism. Soc. Am., 64(5): 1363-1367.

decluster(catalogue, config)[source]

The configuration of this declustering algorithm requires two objects: - A time-distance window object (key is ‘time_distance_window’) - A value in the interval [0,1] expressing the fraction of the time window used for aftershocks (key is ‘fs_time_prop’)

Parameters:
  • catalogue (Dictionary) – Catalogue of earthquakes
  • config (Dictionary) – Configuration parameters
Returns:

vcl vector indicating cluster number, flagvector indicating which eq events belong to a cluster
Return type:

numpy.ndarray

openquake.hmtk.seismicity.declusterer.distance_time_windows module

class openquake.hmtk.seismicity.declusterer.distance_time_windows.BaseDistanceTimeWindow[source]

Bases: object

Defines the space and time windows, within which an event is identified as a cluster.

calc(magnitude)[source]

Allows to calculate distance and time windows (sw_space, sw_time) see reference: Van Stiphout et al (2011).

Parameters:magnitude (numpy.ndarray) – magnitude
Returns:distance and time windows
Return type:numpy.ndarray
class openquake.hmtk.seismicity.declusterer.distance_time_windows.GardnerKnopoffWindow[source]

Bases: openquake.hmtk.seismicity.declusterer.distance_time_windows.BaseDistanceTimeWindow

Gardner Knopoff method for calculating distance and time windows

calc(magnitude)[source]
class openquake.hmtk.seismicity.declusterer.distance_time_windows.GruenthalWindow[source]

Bases: openquake.hmtk.seismicity.declusterer.distance_time_windows.BaseDistanceTimeWindow

Gruenthal method for calculating distance and time windows

calc(magnitude)[source]
class openquake.hmtk.seismicity.declusterer.distance_time_windows.UhrhammerWindow[source]

Bases: openquake.hmtk.seismicity.declusterer.distance_time_windows.BaseDistanceTimeWindow

Uhrhammer method for calculating distance and time windows

calc(magnitude)[source]

Module contents