Source code for openquake.hazardlib.source.area

# The Hazard Library
# Copyright (C) 2012-2017 GEM Foundation
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
"""
Module :mod:`openquake.hazardlib.source.area` defines :class:`AreaSource`.
"""
import math
from copy import deepcopy
from openquake.hazardlib import geo, mfd
from openquake.hazardlib.source.point import PointSource
from openquake.hazardlib.source.base import ParametricSeismicSource
from openquake.hazardlib.source.rupture import ParametricProbabilisticRupture
from openquake.baselib.slots import with_slots


[docs]@with_slots class AreaSource(ParametricSeismicSource): """ Area source represents uniform seismicity occurring over a geographical region. :param polygon: An instance of :class:`openquake.hazardlib.geo.polygon.Polygon` that defines source's area. :param area_discretization: Float number, polygon area discretization spacing in kilometers. See :meth:`openquake.hazardlib.source.area.AreaSource.iter_ruptures`. Other parameters (except ``location``) are the same as for :class:`~openquake.hazardlib.source.point.PointSource`. """ _slots_ = ParametricSeismicSource._slots_ + '''upper_seismogenic_depth lower_seismogenic_depth nodal_plane_distribution hypocenter_distribution polygon area_discretization'''.split() MODIFICATIONS = set(()) RUPTURE_WEIGHT = 0.1 def __init__(self, source_id, name, tectonic_region_type, mfd, rupture_mesh_spacing, magnitude_scaling_relationship, rupture_aspect_ratio, temporal_occurrence_model, # point-specific parameters (excluding location) upper_seismogenic_depth, lower_seismogenic_depth, nodal_plane_distribution, hypocenter_distribution, # area-specific parameters polygon, area_discretization): super(AreaSource, self).__init__( source_id, name, tectonic_region_type, mfd, rupture_mesh_spacing, magnitude_scaling_relationship, rupture_aspect_ratio, temporal_occurrence_model) self.upper_seismogenic_depth = upper_seismogenic_depth self.lower_seismogenic_depth = lower_seismogenic_depth self.nodal_plane_distribution = nodal_plane_distribution self.hypocenter_distribution = hypocenter_distribution self.polygon = polygon self.area_discretization = area_discretization self.max_radius = 0
[docs] def get_rupture_enclosing_polygon(self, dilation=0): """ Extends the area source polygon by ``dilation`` plus :meth:`~openquake.hazardlib.source.point.PointSource._get_max_rupture_projection_radius`. See :meth:`superclass method <openquake.hazardlib.source.base.BaseSeismicSource.get_rupture_enclosing_polygon>` for parameter and return value definition. """ max_rup_radius = self._get_max_rupture_projection_radius() return self.polygon.dilate(max_rup_radius + dilation)
[docs] def iter_ruptures(self): """ See :meth:`openquake.hazardlib.source.base.BaseSeismicSource.iter_ruptures` for description of parameters and return value. Area sources are treated as a collection of point sources (see :mod:`openquake.hazardlib.source.point`) with uniform parameters. Ruptures of area source are just a union of ruptures of those point sources. The actual positions of the implied point sources form a uniformly spaced mesh on the polygon. Polygon's method :meth: `~openquake.hazardlib.geo.polygon.Polygon.discretize` is used for creating a mesh of points on the source's area. Constructor's parameter ``area_discretization`` is used as polygon's discretization spacing (not to be confused with rupture surface's mesh spacing which is as well provided to the constructor). The ruptures' occurrence rates are rescaled with respect to number of points the polygon discretizes to. """ polygon_mesh = self.polygon.discretize(self.area_discretization) rate_scaling_factor = 1.0 / len(polygon_mesh) # take the very first point of the polygon mesh [epicenter0] = polygon_mesh[0:1] # generate "reference ruptures" -- all the ruptures that have the same # epicenter location (first point of the polygon's mesh) but different # magnitudes, nodal planes, hypocenters' depths and occurrence rates ref_ruptures = [] for (mag, mag_occ_rate) in self.get_annual_occurrence_rates(): for (np_prob, np) in self.nodal_plane_distribution.data: for (hc_prob, hc_depth) in self.hypocenter_distribution.data: hypocenter = geo.Point(latitude=epicenter0.latitude, longitude=epicenter0.longitude, depth=hc_depth) occurrence_rate = (mag_occ_rate * float(np_prob) * float(hc_prob)) occurrence_rate *= rate_scaling_factor surface = self._get_rupture_surface(mag, np, hypocenter) ref_ruptures.append((mag, np.rake, hc_depth, surface, occurrence_rate)) # for each of the epicenter positions generate as many ruptures # as we generated "reference" ones: new ruptures differ only # in hypocenter and surface location for epicenter in polygon_mesh: for mag, rake, hc_depth, surface, occ_rate in ref_ruptures: # translate the surface from first epicenter position # to the target one preserving it's geometry surface = surface.translate(epicenter0, epicenter) hypocenter = deepcopy(epicenter) hypocenter.depth = hc_depth rupture = ParametricProbabilisticRupture( mag, rake, self.tectonic_region_type, hypocenter, surface, type(self), occ_rate, self.temporal_occurrence_model) yield rupture
[docs] def count_ruptures(self): """ See :meth:`openquake.hazardlib.source.base.BaseSeismicSource.count_ruptures` for description of parameters and return value. """ polygon_mesh = self.polygon.discretize(self.area_discretization) return (len(polygon_mesh) * len(self.get_annual_occurrence_rates()) * len(self.nodal_plane_distribution.data) * len(self.hypocenter_distribution.data))
_get_rupture_dimensions = PointSource.__dict__['_get_rupture_dimensions'] _get_max_rupture_projection_radius = PointSource.__dict__[ '_get_max_rupture_projection_radius'] _get_rupture_surface = PointSource.__dict__['_get_rupture_surface'] def __iter__(self): """ Split an area source into a generator of point sources. MFDs will be rescaled appropriately for the number of points in the area mesh. """ mesh = self.polygon.discretize(self.area_discretization) num_points = len(mesh) area_mfd = self.mfd if isinstance(area_mfd, mfd.TruncatedGRMFD): new_mfd = mfd.TruncatedGRMFD( a_val=area_mfd.a_val - math.log10(num_points), b_val=area_mfd.b_val, bin_width=area_mfd.bin_width, min_mag=area_mfd.min_mag, max_mag=area_mfd.max_mag) elif isinstance(area_mfd, mfd.EvenlyDiscretizedMFD): new_occur_rates = [x/num_points for x in area_mfd.occurrence_rates] new_mfd = mfd.EvenlyDiscretizedMFD( min_mag=area_mfd.min_mag, bin_width=area_mfd.bin_width, occurrence_rates=new_occur_rates) elif isinstance(area_mfd, mfd.ArbitraryMFD): new_occur_rates = [x/num_points for x in area_mfd.occurrence_rates] new_mfd = mfd.ArbitraryMFD( magnitudes=area_mfd.magnitudes, occurrence_rates=new_occur_rates) elif isinstance(area_mfd, mfd.YoungsCoppersmith1985MFD): new_mfd = mfd.YoungsCoppersmith1985MFD.from_characteristic_rate( area_mfd.min_mag, area_mfd.b_val, area_mfd.char_mag, area_mfd.char_rate / num_points, area_mfd.bin_width) else: raise TypeError('Unknown MFD: %s' % area_mfd) for i, (lon, lat) in enumerate(zip(mesh.lons, mesh.lats)): pt = PointSource( # Generate a new ID and name source_id='%s:%s' % (self.source_id, i), name=self.name, tectonic_region_type=self.tectonic_region_type, mfd=new_mfd, rupture_mesh_spacing=self.rupture_mesh_spacing, magnitude_scaling_relationship= self.magnitude_scaling_relationship, rupture_aspect_ratio=self.rupture_aspect_ratio, upper_seismogenic_depth=self.upper_seismogenic_depth, lower_seismogenic_depth=self.lower_seismogenic_depth, location=geo.Point(lon, lat), nodal_plane_distribution=self.nodal_plane_distribution, hypocenter_distribution=self.hypocenter_distribution, temporal_occurrence_model=self.temporal_occurrence_model) pt.num_ruptures = pt.count_ruptures() yield pt