Source code for openquake.hmtk.faults.active_fault_model
# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# LICENSE
#
# Copyright (C) 2010-2021 GEM Foundation, G. Weatherill, M. Pagani,
# D. Monelli.
#
# The Hazard Modeller's Toolkit 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.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>
#
# DISCLAIMER
#
# The software Hazard Modeller's Toolkit (openquake.hmtk) provided herein
# is released as a prototype implementation on behalf of
# scientists and engineers working within the GEM Foundation (Global
# Earthquake Model).
#
# It is distributed for the purpose of open collaboration and in the
# hope that it will be useful to the scientific, engineering, disaster
# risk and software design communities.
#
# The software is NOT distributed as part of GEM's OpenQuake suite
# (https://www.globalquakemodel.org/tools-products) and must be considered as a
# separate entity. The software provided herein is designed and implemented
# by scientific staff. It is not developed to the design standards, nor
# subject to same level of critical review by professional software
# developers, as GEM's OpenQuake software suite.
#
# Feedback and contribution to the software is welcome, and can be
# directed to the hazard scientific staff of the GEM Model Facility
# (hazard@globalquakemodel.org).
#
# The Hazard Modeller's Toolkit (openquake.hmtk) is therefore distributed
# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
# The GEM Foundation, and the authors of the software, assume no
# liability for use of the software.
'''
Module :mod:`openquake.hmtk.faults.active_fault_model.mtkActiveFaultModel`
implements a wrapper class for a set of active fault sources
'''
from copy import deepcopy
import numpy as np
from openquake.hazardlib.scalerel.wc1994 import WC1994
from openquake.hmtk.sources.source_model import mtkSourceModel
[docs]class mtkActiveFaultModel(object):
'''
Class to define a compilation of active fault sources
:param str id:
Identifier for the model
:param str name:
Fault model name
:param list faults:
Active faults as a list of tuples where each tuple is an instance
of (openquake.hmtk.faults.fault_model.mtkActiveFault,
[list of MFD configurations for that fault])
:param source_model:
Instance of openquake.hmtk.source.source_model.mtkSourceModel class
'''
def __init__(self, identifier=None, name=None, faults=None):
'''
'''
self.id = identifier
self.name = name
if isinstance(faults, list):
self.faults = faults
else:
if faults:
raise ValueError('Faults must be input as list')
else:
self.faults = []
self.source_model = None
[docs] def get_number_faults(self):
'''
Returns the number of faults in the model
'''
return len(self.faults)
[docs] def build_fault_model(self, collapse=False, rendered_msr=WC1994(),
bin_width=0.1, mfd_config=None):
'''
Constructs a full fault model with epistemic uncertainty by
enumerating all the possible recurrence models of each fault as
separate faults, with the recurrence rates multiplied by the
corresponding weights.
:param bool collapse:
Determines whether or not to collapse the branches
:param rendered_msr:
If the option is taken to collapse the branches then a recurrence
model for rendering must be defined
:param list/dict mfd_config:
Universal list or dictionay of configuration parameters for the
magnitude frequency distribution - will overwrite whatever is
previously defined for the fault!
'''
self.source_model = mtkSourceModel(self.id, self.name)
for fault in self.faults:
fault.generate_recurrence_models(collapse,
bin_width=bin_width,
config=mfd_config,
rendered_msr=rendered_msr)
src_model, src_weight = fault.generate_fault_source_model()
for iloc, model in enumerate(src_model):
new_model = deepcopy(model)
new_model.id = str(model.id) + '_%g' % (iloc + 1)
new_model.mfd.occurrence_rates = \
(np.array(new_model.mfd.occurrence_rates) *
src_weight[iloc]).tolist()
self.source_model.sources.append(new_model)