def example_calc(apply):
sitecol = SiteCollection([
Site(Point(30.0, 30.0), 760., 1.0, 1.0),
Site(Point(30.25, 30.25), 760., 1.0, 1.0),
Site(Point(30.4, 30.4), 760., 1.0, 1.0)
])
mfd_1 = TruncatedGRMFD(4.5, 8.0, 0.1, 4.0, 1.0)
mfd_2 = TruncatedGRMFD(4.5, 7.5, 0.1, 3.5, 1.1)
sources = [
PointSource('001', 'Point1', 'Active Shallow Crust', mfd_1, 1.0,
WC1994(), 1.0, PoissonTOM(50.0), 0.0, 30.0,
Point(30.0, 30.5), PMF([(1.0, NodalPlane(0.0, 90.0,
0.0))]),
PMF([(1.0, 10.0)])),
PointSource('002', 'Point2', 'Active Shallow Crust', mfd_2, 1.0,
WC1994(), 1.0, PoissonTOM(50.0), 0.0, 30.0,
Point(30.0, 30.5), PMF([(1.0, NodalPlane(0.0, 90.0,
0.0))]),
PMF([(1.0, 10.0)]))
]
imtls = {
'PGA': [0.01, 0.1, 0.2, 0.5, 0.8],
'SA(0.5)': [0.01, 0.1, 0.2, 0.5, 0.8]
}
gsims = {'Active Shallow Crust': AkkarBommer2010()}
return calc_hazard_curves(sources,
sitecol,
imtls,
gsims,
apply=apply,
filter_distance='rrup')
def setUp(self):
"""
"""
mfd_1 = TruncatedGRMFD(4.5, 8.0, 0.1, 4.0, 1.0)
mfd_2 = TruncatedGRMFD(4.5, 7.5, 0.1, 3.5, 1.1)
self.source_model = [
PointSource('001', 'Point1', 'Active Shallow Crust', mfd_1, 1.0,
WC1994(), 1.0, PoissonTOM(50.0), 0.0, 30.0,
Point(30.0, 30.5),
PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))]),
PMF([(1.0, 10.0)])),
PointSource('002', 'Point2', 'Active Shallow Crust', mfd_2, 1.0,
WC1994(), 1.0, PoissonTOM(50.0), 0.0, 30.0,
Point(30.0, 30.5),
PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))]),
PMF([(1.0, 10.0)]))
]
self.sites = SiteCollection([
Site(Point(30.0, 30.0), 760., True, 1.0, 1.0, 1),
Site(Point(30.25, 30.25), 760., True, 1.0, 1.0, 2),
Site(Point(30.4, 30.4), 760., True, 1.0, 1.0, 2)
])
self.gsims = {'Active Shallow Crust': 'AkkarBommer2010'}
self.imts = ['PGA', 'SA(0.5)']
self.imls = [[0.01, 0.1, 0.2, 0.5, 0.8]]
def reference_psha_calculation_openquake():
"""
Sets up the reference PSHA calculation calling OpenQuake directly. All
subsequent implementations should match this example
"""
# Site model - 3 Sites
site_model = SiteCollection([
Site(Point(30.0, 30.0), 760., True, 1.0, 1.0, 1),
Site(Point(30.25, 30.25), 760., True, 1.0, 1.0, 2),
Site(Point(30.4, 30.4), 760., True, 1.0, 1.0, 2)
])
# Source Model Two Point Sources
mfd_1 = TruncatedGRMFD(4.5, 8.0, 0.1, 4.0, 1.0)
mfd_2 = TruncatedGRMFD(4.5, 7.5, 0.1, 3.5, 1.1)
source_model = [
PointSource('001', 'Point1', 'Active Shallow Crust', mfd_1, 1.0,
WC1994(), 1.0, PoissonTOM(50.0), 0.0, 30.0,
Point(30.0, 30.5), PMF([(1.0, NodalPlane(0.0, 90.0,
0.0))]),
PMF([(1.0, 10.0)])),
PointSource('002', 'Point2', 'Active Shallow Crust', mfd_2, 1.0,
WC1994(), 1.0, PoissonTOM(50.0), 0.0, 30.0,
Point(30.0, 30.5), PMF([(1.0, NodalPlane(0.0, 90.0,
0.0))]),
PMF([(1.0, 10.0)]))
]
imts = {
'PGA': [0.01, 0.1, 0.2, 0.5, 0.8],
'SA(0.5)': [0.01, 0.1, 0.2, 0.5, 0.8]
}
# Akkar & Bommer (2010) GMPE
gsims = {'Active Shallow Crust': gsim.akkar_bommer_2010.AkkarBommer2010()}
truncation_level = None
return calc_hazard_curves(source_model, site_model, imts, gsims,
truncation_level)
def __init__(
self,
source_id,
name,
tectonic_region_type,
mfd,
rupture_mesh_spacing,
magnitude_scaling_relationship,
rupture_aspect_ratio,
temporal_occurrence_model,
# complex fault specific parameters
edges,
rake,
):
super(ComplexFaultSource, self).__init__(
source_id,
name,
tectonic_region_type,
mfd,
rupture_mesh_spacing,
magnitude_scaling_relationship,
rupture_aspect_ratio,
temporal_occurrence_model,
)
NodalPlane.check_rake(rake)
ComplexFaultSurface.check_fault_data(edges, rupture_mesh_spacing)
self.edges = edges
self.rake = rake
def __init__(self, source_id, name, tectonic_region_type,
mfd, rupture_mesh_spacing,
magnitude_scaling_relationship, rupture_aspect_ratio,
# simple fault specific parameters
upper_seismogenic_depth, lower_seismogenic_depth,
fault_trace, dip, rake):
super(SimpleFaultSource, self).__init__(
source_id, name, tectonic_region_type, mfd, rupture_mesh_spacing,
magnitude_scaling_relationship, rupture_aspect_ratio
)
NodalPlane.check_rake(rake)
SimpleFaultSurface.check_fault_data(
fault_trace, upper_seismogenic_depth, lower_seismogenic_depth,
dip, rupture_mesh_spacing
)
self.fault_trace = fault_trace
self.upper_seismogenic_depth = upper_seismogenic_depth
self.lower_seismogenic_depth = lower_seismogenic_depth
self.dip = dip
self.rake = rake
min_mag = self.mfd.get_min_mag()
cols_rows = self._get_rupture_dimensions(float('inf'), float('inf'),
min_mag)
if 1 in cols_rows:
raise ValueError('mesh spacing %s is too low to represent '
'ruptures of magnitude %s' %
(rupture_mesh_spacing, min_mag))
def setUp(self):
"""
"""
#~ self.npd_as_list = [models.NodalPlane(0.5, 0., 90., 0.),
#~ models.NodalPlane(0.5, 90., 90., 180.)]
self.npd_as_pmf = PMF([(0.5, NodalPlane(0., 90., 0.)),
(0.5, NodalPlane(90., 90., 180.))])
self.npd_as_pmf_bad = PMF([(0.5, None),
(0.5, NodalPlane(90., 90., 180.))])
def __init__(self, mag, rake, tectonic_region_type, hypocenter,
surface, rupture_slip_direction=None):
if not mag > 0:
raise ValueError('magnitude must be positive')
NodalPlane.check_rake(rake)
self.tectonic_region_type = tectonic_region_type
self.rake = rake
self.mag = mag
self.hypocenter = hypocenter
self.surface = surface
self.rupture_slip_direction = rupture_slip_direction
def __init__(self,
strike,
dip,
top_left,
top_right,
bottom_right,
bottom_left,
check=True):
if check:
if not (top_left.depth == top_right.depth
and bottom_left.depth == bottom_right.depth):
raise ValueError("top and bottom edges must be parallel "
"to the earth surface")
NodalPlane.check_dip(dip)
NodalPlane.check_strike(strike)
self.dip = dip
self.strike = strike
self.corner_lons = numpy.array([
top_left.longitude, top_right.longitude, bottom_left.longitude,
bottom_right.longitude
])
self.corner_lats = numpy.array([
top_left.latitude, top_right.latitude, bottom_left.latitude,
bottom_right.latitude
])
self.corner_depths = numpy.array([
top_left.depth, top_right.depth, bottom_left.depth,
bottom_right.depth
])
# now set the attributes normal, d, uv1, uv2, zero_zero
self._init_plane()
# now we can check surface for validity
dists, xx, yy = self._project(self.mesh.xyz)
# "length" of the rupture is measured along the top edge
length1, length2 = xx[1] - xx[0], xx[3] - xx[2]
# "width" of the rupture is measured along downdip direction
width1, width2 = yy[2] - yy[0], yy[3] - yy[1]
self.width = (width1 + width2) / 2.0
self.length = (length1 + length2) / 2.0
if check:
# calculate the imperfect rectangle tolerance
# relative to surface's area
tolerance = (self.width * self.length *
self.IMPERFECT_RECTANGLE_TOLERANCE)
if numpy.max(numpy.abs(dists)) > tolerance:
logging.warning("corner points do not lie on the same plane")
if length2 < 0:
raise ValueError("corners are in the wrong order")
if abs(length1 - length2) > tolerance:
raise ValueError("top and bottom edges have different lengths")
def __init__(self, mag, rake, tectonic_region_type, hypocenter, surface, source_typology):
if not mag > 0:
raise ValueError("magnitude must be positive")
if not hypocenter.depth > 0:
raise ValueError("rupture hypocenter must have positive depth")
NodalPlane.check_rake(rake)
self.tectonic_region_type = tectonic_region_type
self.rake = rake
self.mag = mag
self.hypocenter = hypocenter
self.surface = surface
self.source_typology = source_typology
def __init__(self, mag, rake, tectonic_region_type, hypocenter,
surface, rupture_slip_direction=None, weight=None):
if not mag > 0:
raise ValueError('magnitude must be positive')
NodalPlane.check_rake(rake)
self.tectonic_region_type = tectonic_region_type
self.rake = rake
self.mag = mag
self.hypocenter = hypocenter
self.surface = surface
self.rupture_slip_direction = rupture_slip_direction
self.weight = weight
def __init__(self, mesh_spacing, strike, dip,
top_left, top_right, bottom_right, bottom_left):
super(PlanarSurface, self).__init__()
if not (top_left.depth == top_right.depth
and bottom_left.depth == bottom_right.depth):
raise ValueError("top and bottom edges must be parallel "
"to the earth surface")
if not mesh_spacing > 0:
raise ValueError("mesh spacing must be positive")
self.mesh_spacing = mesh_spacing
NodalPlane.check_dip(dip)
NodalPlane.check_strike(strike)
self.dip = dip
self.strike = strike
self.corner_lons = numpy.array([
top_left.longitude, top_right.longitude,
bottom_left.longitude, bottom_right.longitude
])
self.corner_lats = numpy.array([
top_left.latitude, top_right.latitude,
bottom_left.latitude, bottom_right.latitude
])
self.corner_depths = numpy.array([
top_left.depth, top_right.depth,
bottom_left.depth, bottom_right.depth
])
self._init_plane()
# now we can check surface for validity
dists, xx, yy = self._project(self.corner_lons, self.corner_lats,
self.corner_depths)
# "length" of the rupture is measured along the top edge
length1, length2 = xx[1] - xx[0], xx[3] - xx[2]
# "width" of the rupture is measured along downdip direction
width1, width2 = yy[2] - yy[0], yy[3] - yy[1]
self.width = (width1 + width2) / 2.0
self.length = (length1 + length2) / 2.0
# calculate the imperfect rectangle tolerance
# relative to surface's area
tolerance = (self.width * self.length
* self.IMPERFECT_RECTANGLE_TOLERANCE)
if numpy.max(numpy.abs(dists)) > tolerance:
raise ValueError("corner points do not lie on the same plane")
if length2 < 0:
raise ValueError("corners are in the wrong order")
if abs(length1 - length2) > tolerance:
raise ValueError("top and bottom edges have different lengths")
if abs(xx[0] - xx[2]) > tolerance:
raise ValueError("surface's angles are not right")
def __init__(self, mag, rake, tectonic_region_type, hypocenter, surface,
source_typology):
if not mag > 0:
raise ValueError('magnitude must be positive')
if not hypocenter.depth > 0:
raise ValueError('rupture hypocenter must have positive depth')
NodalPlane.check_rake(rake)
self.tectonic_region_type = tectonic_region_type
self.rake = rake
self.mag = mag
self.hypocenter = hypocenter
self.surface = surface
self.source_typology = source_typology
def __init__(self, source_id, name, tectonic_region_type, mfd,
rupture_mesh_spacing, magnitude_scaling_relationship,
rupture_aspect_ratio, temporal_occurrence_model,
# complex fault specific parameters
edges, rake):
super().__init__(
source_id, name, tectonic_region_type, mfd, rupture_mesh_spacing,
magnitude_scaling_relationship, rupture_aspect_ratio,
temporal_occurrence_model)
NodalPlane.check_rake(rake)
ComplexFaultSurface.check_fault_data(edges, rupture_mesh_spacing)
self.edges = edges
self.rake = rake
def __init__(
self,
source_id,
name,
tectonic_region_type,
mfd,
rupture_mesh_spacing,
magnitude_scaling_relationship,
rupture_aspect_ratio,
temporal_occurrence_model,
# simple fault specific parameters
upper_seismogenic_depth,
lower_seismogenic_depth,
fault_trace,
dip,
rake,
hypo_list=(),
slip_list=()):
super(SimpleFaultSource,
self).__init__(source_id, name, tectonic_region_type, mfd,
rupture_mesh_spacing,
magnitude_scaling_relationship,
rupture_aspect_ratio, temporal_occurrence_model)
NodalPlane.check_rake(rake)
SimpleFaultSurface.check_fault_data(fault_trace,
upper_seismogenic_depth,
lower_seismogenic_depth, dip,
rupture_mesh_spacing)
self.fault_trace = fault_trace
self.upper_seismogenic_depth = upper_seismogenic_depth
self.lower_seismogenic_depth = lower_seismogenic_depth
self.dip = dip
self.rake = rake
min_mag, max_mag = self.mfd.get_min_max_mag()
cols_rows = self._get_rupture_dimensions(float('inf'), float('inf'),
min_mag)
self.slip_list = slip_list
self.hypo_list = hypo_list
if (len(self.hypo_list) and not len(self.slip_list)
or not len(self.hypo_list) and len(self.slip_list)):
raise ValueError('hypo_list and slip_list have to be both given '
'or neither given')
if 1 in cols_rows:
raise ValueError('mesh spacing %s is too high to represent '
'ruptures of magnitude %s' %
(rupture_mesh_spacing, min_mag))
def __init__(self, mag, rake, tectonic_region_type, hypocenter,
surface, source_typology, rupture_slip_direction=None, surface_nodes=()):
if not mag > 0:
raise ValueError('magnitude must be positive')
if not hypocenter.depth > 0:
raise ValueError('rupture hypocenter must have positive depth')
NodalPlane.check_rake(rake)
self.tectonic_region_type = tectonic_region_type
self.rake = rake
self.mag = mag
self.hypocenter = hypocenter
self.surface = surface
self.source_typology = source_typology
self.surface_nodes = surface_nodes
self.rupture_slip_direction = rupture_slip_direction
def setUp(self):
mfd = TruncatedGRMFD(min_mag=4.0, max_mag=6.0, bin_width=0.1,
a_val=2.0, b_val=1.0)
msr = WC1994()
tom = PoissonTOM(1.0)
pol = Polygon([Point(longitude=0.0, latitude=0.0),
Point(longitude=1.0, latitude=0.0),
Point(longitude=1.0, latitude=1.0),
Point(longitude=0.0, latitude=1.0)])
npd = PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))])
hpd = PMF([(0.7, 10.), (0.3, 20.0)])
self.src1 = AreaSource(source_id='1',
name='1',
tectonic_region_type='Test',
mfd=mfd,
rupture_mesh_spacing=1,
magnitude_scaling_relationship=msr,
rupture_aspect_ratio=1.,
temporal_occurrence_model=tom,
upper_seismogenic_depth=0,
lower_seismogenic_depth=100.,
nodal_plane_distribution=npd,
hypocenter_distribution=hpd,
polygon=pol,
area_discretization=10.)
def __init__(self, strike, dip,
top_left, top_right, bottom_right, bottom_left, check=True):
if check:
if not (top_left.depth == top_right.depth and
bottom_left.depth == bottom_right.depth):
raise ValueError("top and bottom edges must be parallel "
"to the earth surface")
NodalPlane.check_dip(dip)
NodalPlane.check_strike(strike)
self.dip = dip
self.strike = strike
self.corner_lons = numpy.array([
top_left.longitude, top_right.longitude,
bottom_left.longitude, bottom_right.longitude
])
self.corner_lats = numpy.array([
top_left.latitude, top_right.latitude,
bottom_left.latitude, bottom_right.latitude
])
self.corner_depths = numpy.array([
top_left.depth, top_right.depth,
bottom_left.depth, bottom_right.depth
])
# now set the attributes normal, d, uv1, uv2, zero_zero
self._init_plane()
# now we can check surface for validity
dists, xx, yy = self._project(self.mesh.xyz)
# "length" of the rupture is measured along the top edge
length1, length2 = xx[1] - xx[0], xx[3] - xx[2]
# "width" of the rupture is measured along downdip direction
width1, width2 = yy[2] - yy[0], yy[3] - yy[1]
self.width = (width1 + width2) / 2.0
self.length = (length1 + length2) / 2.0
if check:
# calculate the imperfect rectangle tolerance
# relative to surface's area
tolerance = (self.width * self.length *
self.IMPERFECT_RECTANGLE_TOLERANCE)
if numpy.max(numpy.abs(dists)) > tolerance:
logging.warning("corner points do not lie on the same plane")
if length2 < 0:
raise ValueError("corners are in the wrong order")
if abs(length1 - length2) > tolerance:
raise ValueError("top and bottom edges have different lengths")
def npd_to_pmf(nodal_plane_dist, use_default=False):
"""
Returns the nodal plane distribution as an instance of the PMF class
"""
if isinstance(nodal_plane_dist, PMF):
# Aready in PMF format - return
return nodal_plane_dist
elif isinstance(nodal_plane_dist, list):
npd_list = []
for npd in nodal_plane_dist:
assert isinstance(npd, models.NodalPlane)
npd_list.append(
(npd.probability, NodalPlane(npd.strike, npd.dip, npd.rake)))
return PMF(npd_list)
else:
if use_default:
return PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))])
else:
raise ValueError('Nodal Plane distribution not defined')
def test_render_nodal_planes_as_pmf_bad_2(self):
'''
Tests the workflow when nodal planes input as a PMF without
probabilities summing to 1.0
'''
self.npd_as_pmf.data[1] = (0.4, NodalPlane(90., 90., 180.))
with self.assertRaises(ValueError) as ae:
output = conv.render_npd(self.npd_as_pmf)
self.assertEqual(ae.exception.message,
'Nodal Plane probabilities do not sum to 1.0')
def _test_broken_input(self, broken_parameter, **kwargs):
with self.assertRaises(ValueError) as ae:
NodalPlane(**kwargs)
self.assertTrue(str(ae.exception).startswith(broken_parameter),
str(ae.exception))
checker = getattr(NodalPlane, 'check_%s' % broken_parameter)
with self.assertRaises(ValueError) as ae:
checker(kwargs[broken_parameter])
self.assertTrue(str(ae.exception).startswith(broken_parameter),
str(ae.exception))
def npd_to_pmf(nodal_plane_dist, use_default=False):
"""
Returns the nodal plane distribution as an instance of the PMF class
"""
if isinstance(nodal_plane_dist, PMF):
# Aready in PMF format - return
return nodal_plane_dist
else:
if use_default:
return PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))])
else:
raise ValueError('Nodal Plane distribution not defined')
def __init__(self, source_id, name, tectonic_region_type,
mfd, rupture_mesh_spacing,
magnitude_scaling_relationship, rupture_aspect_ratio,
temporal_occurrence_model,
# simple fault specific parameters
upper_seismogenic_depth, lower_seismogenic_depth,
fault_trace, dip, rake, hypo_list=(), slip_list=()):
super(SimpleFaultSource, self).__init__(
source_id, name, tectonic_region_type, mfd, rupture_mesh_spacing,
magnitude_scaling_relationship, rupture_aspect_ratio,
temporal_occurrence_model
)
NodalPlane.check_rake(rake)
SimpleFaultSurface.check_fault_data(
fault_trace, upper_seismogenic_depth, lower_seismogenic_depth,
dip, rupture_mesh_spacing
)
self.fault_trace = fault_trace
self.upper_seismogenic_depth = upper_seismogenic_depth
self.lower_seismogenic_depth = lower_seismogenic_depth
self.dip = dip
self.rake = rake
min_mag, max_mag = self.mfd.get_min_max_mag()
cols_rows = self._get_rupture_dimensions(float('inf'), float('inf'),
min_mag)
self.slip_list = slip_list
self.hypo_list = hypo_list
if (len(self.hypo_list) and not len(self.slip_list) or
not len(self.hypo_list) and len(self.slip_list)):
raise ValueError('hypo_list and slip_list have to be both given '
'or neither given')
if 1 in cols_rows:
raise ValueError('mesh spacing %s is too high to represent '
'ruptures of magnitude %s' %
(rupture_mesh_spacing, min_mag))
def __init__(
self,
source_id,
name,
tectonic_region_type,
mfd,
rupture_mesh_spacing,
magnitude_scaling_relationship,
rupture_aspect_ratio,
# simple fault specific parameters
upper_seismogenic_depth,
lower_seismogenic_depth,
fault_trace,
dip,
rake):
super(SimpleFaultSource,
self).__init__(source_id, name, tectonic_region_type, mfd,
rupture_mesh_spacing,
magnitude_scaling_relationship,
rupture_aspect_ratio)
NodalPlane.check_rake(rake)
SimpleFaultSurface.check_fault_data(fault_trace,
upper_seismogenic_depth,
lower_seismogenic_depth, dip,
rupture_mesh_spacing)
self.fault_trace = fault_trace
self.upper_seismogenic_depth = upper_seismogenic_depth
self.lower_seismogenic_depth = lower_seismogenic_depth
self.dip = dip
self.rake = rake
min_mag = self.mfd.get_min_mag()
cols_rows = self._get_rupture_dimensions(float('inf'), float('inf'),
min_mag)
if 1 in cols_rows:
raise ValueError('mesh spacing %s is too low to represent '
'ruptures of magnitude %s' %
(rupture_mesh_spacing, min_mag))
def make_rupture(trt, mag, msr=PointMSR(), aspect_ratio=1.0, seismo=(10, 30),
nodal_plane_tup=(0, 90, 0), hc_tup=(0, 0, 20),
occurrence_rate=1, tom=None):
hc = Point(*hc_tup)
np = NodalPlane(*nodal_plane_tup)
ps = object.__new__(PointSource)
ps.magnitude_scaling_relationship = msr
ps.upper_seismogenic_depth = seismo[0]
ps.lower_seismogenic_depth = seismo[1]
ps.rupture_aspect_ratio = aspect_ratio
surface, nhc = ps._get_rupture_surface(mag, np, hc)
rup = ParametricProbabilisticRupture(
mag, np.rake, trt, hc, surface, occurrence_rate, tom)
return rup
def node_to_nodal_planes(node):
"""
Parses the nodal plane distribution to a PMF
"""
if not len(node):
return None
npd_pmf = []
for plane in node.nodes:
if not all(plane.attrib[key] for key in plane.attrib):
# One plane fails - return None
return None
npd = NodalPlane(float(plane.attrib["strike"]),
float(plane.attrib["dip"]),
float(plane.attrib["rake"]))
npd_pmf.append((float(plane.attrib["probability"]), npd))
return PMF(npd_pmf)
def test(self):
sitecol = SiteCollection([Site(Point(30.0, 30.0), 760., 1.0, 1.0)])
mfd = TruncatedGRMFD(4.5, 8.0, 0.1, 4.0, 1.0)
sources = [PointSource('001', 'Point1', 'Active Shallow Crust',
mfd, 1.0, WC1994(), 1.0, PoissonTOM(50.0),
0.0, 30.0, Point(30.0, 30.5),
PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))]),
PMF([(1.0, 10.0)]))]
imtls = {'PGA': [0.01, 0.1, 0.2, 0.5, 0.8]}
hc1 = calc_hazard_curves(sources, sitecol, imtls, {
'Active Shallow Crust': AkkarBommer2010()})['PGA']
hc2 = calc_hazard_curves(sources, sitecol, imtls, {
'Active Shallow Crust': SadighEtAl1997()})['PGA']
hc = .6 * hc1 + .4 * hc2
ag = AvgGMPE(b1=dict(AkkarBommer2010={'weight': .6}),
b2=dict(SadighEtAl1997={'weight': .4}))
hcm = calc_hazard_curves(sources, sitecol, imtls, {
'Active Shallow Crust': ag})['PGA']
# the AvgGMPE is not producing real means!!
numpy.testing.assert_almost_equal(hc, hcm, decimal=3)
def setUp(self):
"""
"""
#
# coordinates of point sources
lons = [10.00, 10.10, 10.20, 10.00, 10.10, 10.20, 10.00, 10.10, 10.20]
lats = [45.10, 45.10, 45.10, 45.05, 45.05, 45.05, 45.00, 45.00, 45.00]
deps = [10.00, 10.00, 10.00, 10.00, 10.00, 10.00, 10.00, 10.00, 10.00]
self.lons = lons
self.lats = lats
#
# set main parameters
mfd = TruncatedGRMFD(min_mag=4.0,
max_mag=6.0,
bin_width=0.1,
a_val=2.0,
b_val=1.0)
msr = WC1994()
tom = PoissonTOM(1.0)
npd = PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))])
hdd = PMF([(0.7, 4.), (0.3, 8.0)])
#
# create the list of sources
srcs = []
for idx, (lon, lat, dep) in enumerate(zip(lons, lats, deps)):
src = PointSource(source_id='1',
name='Test',
tectonic_region_type=TRT.ACTIVE_SHALLOW_CRUST,
mfd=mfd,
rupture_mesh_spacing=5.0,
magnitude_scaling_relationship=msr,
rupture_aspect_ratio=1.0,
temporal_occurrence_model=tom,
upper_seismogenic_depth=0,
lower_seismogenic_depth=10.,
location=Point(lon, lat, dep),
nodal_plane_distribution=npd,
hypocenter_distribution=hdd)
srcs.append(src)
self.points = srcs
def test_point_surface(self):
sid = 0
name = 'test'
trt = TRT.ACTIVE_SHALLOW_CRUST
mfd = ArbitraryMFD([7.0], [1.])
rms = 2.5
msr = WC1994()
rar = 1.0
tom = PoissonTOM(1.)
usd = 0.0
lsd = 20.0
loc = Point(0.0, 0.0)
npd = PMF([(1.0, NodalPlane(90., 90., 90.))])
hyd = PMF([(1.0, 10.)])
src = PointSource(sid, name, trt, mfd, rms, msr, rar, tom, usd, lsd,
loc, npd, hyd)
rups = [r for r in src.iter_ruptures()]
# Compute distances
param = 'closest_point'
sites = SiteCollection(
[Site(Point(0.0, 0.0, 0.0)),
Site(Point(-0.2, 0.0, 0.0))])
dsts = get_distances(rups[0], sites, param)
# Check first point
msg = 'The longitude of the first point is wrong'
self.assertTrue(abs(dsts[0, 0] - 0.0) < 1e-2, msg)
msg = 'The latitude of the first point is wrong'
self.assertTrue(abs(dsts[0, 1] - 0.0) < 1e-2, msg)
# Check second point
msg = 'The longitude of the second point is wrong'
self.assertTrue(abs(dsts[1, 0] + 0.1666) < 1e-2, msg)
msg = 'The latitude of the second point is wrong'
self.assertTrue(abs(dsts[1, 1] - 0.0) < 1e-2, msg)
dom['DEP_LOWER'] = 15
hypo_depth_dist = PMF([(0.5, dom['DEP_BEST']),
(0.25, dom['DEP_LOWER']),
(0.25, dom['DEP_UPPER'])])
# Define nodal planes as thrusts except for special cases
str1 = dom['SHMAX'] + 90.
str2 = dom['SHMAX'] + 270.
str3 = dom['SHMAX'] + dom['SHMAX_SIG'] + 90.
str4 = dom['SHMAX'] + dom['SHMAX_SIG'] + 270.
str5 = dom['SHMAX'] - dom['SHMAX_SIG'] + 90.
str6 = dom['SHMAX'] - dom['SHMAX_SIG'] + 270.
strikes = [str1, str2, str3, str4, str5, str6]
for i, strike in enumerate(strikes):
if strike >= 360:
strikes[i] = strike - 360
nodal_plane_dist = PMF([(0.34, NodalPlane(strikes[0], 30, 90)),
(0.34, NodalPlane(strikes[1], 30, 90)),
(0.08, NodalPlane(strikes[2], 30, 90)),
(0.08, NodalPlane(strikes[3], 30, 90)),
(0.08, NodalPlane(strikes[4], 30, 90)),
(0.08, NodalPlane(strikes[5], 30, 90))])
if dom['CODE'] == 'WARM' or dom['CODE'] == 'WAPM':
print 'Define special case for WARM'
nodal_plane_dist = PMF([(0.75, NodalPlane(45, 90, 0)),
(0.125, NodalPlane(strikes[0], 30,
90)),
(0.125, NodalPlane(strikes[1], 30,
90))])
if dom['CODE'] == 'FMLR':
print 'Define special case for FMLR, 0.5 thrust, 0.5 SS'
nodal_plane_dist = PMF([(0.17, NodalPlane(strikes[0], 30, 90)),
from openquake.hmtk.comparison.rate_grids import RateGrid, RatePolygon
SOURCE_MODEL_FILE = os.path.join(os.path.dirname(__file__),
"rate_grid_test_model.xml")
POINT_SOURCE = PointSource("PNT000", "Point 000",
"Active Shallow Crust",
EvenlyDiscretizedMFD(5.0, 0.1, [1.0]),
1.0,
PointMSR(),
1.0,
PoissonTOM(1.0),
0.0,
20.0,
Point(15.05, 15.05),
PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))]),
PMF([(1.0, 5.0)]))
BORDER_POINT_SOURCE = PointSource("PNT000", "Point 000",
"Active Shallow Crust",
EvenlyDiscretizedMFD(5.0, 0.1, [1.0]),
1.0,
PointMSR(),
1.0,
PoissonTOM(1.0),
0.0,
20.0,
Point(15.0, 15.0),
PMF([(1.0, NodalPlane(0.0, 90.0, 0.0))]),
PMF([(1.0, 5.0)]))
def _get_nodal_plane_distribution(data):
out = []
for tmp in data:
out.append([tmp[0], NodalPlane(tmp[1], tmp[2], tmp[3])])
return PMF(out)
def setUp(self):
self.npd_as_pmf = PMF([(0.5, NodalPlane(0., 90., 0.)),
(0.5, NodalPlane(90., 90., 180.))])
self.npd_as_pmf_bad = PMF([(0.5, None),
(0.5, NodalPlane(90., 90., 180.))])
def combine_ss_models(filename_stem,
domains_shp,
params,
lt,
bval_key,
output_dir='./',
nrml_version='04',
weight=1.): #, id_base = 'ASS'):
""" Combine smoothed seismicity models based on tectonic region types
:params filename_stem:
String for the start of the xml filename for the source model,
assuming generic components (non generic are inferred,
e.g. bvalue and completeness model)
:params domains_shp:
shapefile defining tectonic domain regions
:params params:
list of dicts containing parameters derivded from the shapefile
:bval_key
key for the dicts in params as we are merging by
bvalues (best, lower, upper)
:params lt:
LogicTree object containing relevant values and weights for Mmax
:params outfile:
output nrml formatted file
"""
dsf = shapefile.Reader(domains_shp)
dom_shapes = dsf.shapes()
# Get indicies of relevant fields
for i, f in enumerate(dsf.fields):
if f[0] == 'CODE':
code_index = i - 1
if f[0] == 'TRT':
trt_index = i - 1
hypo_depth_dist_nc = PMF([(0.5, 10.0), (0.25, 5.0), (0.25, 15.0)])
hypo_depth_dist_c = PMF([(0.5, 5.0), (0.25, 2.5), (0.25, 10.0)])
hypo_depth_dist_ex = hypo_depth_dist_c
hypo_depth_dict = {
'Cratonic': hypo_depth_dist_c,
'Non_cratonic': hypo_depth_dist_nc,
'Extended': hypo_depth_dist_ex
}
# FIXME! - Temporary solution until nodal plan logic tree
# info can be read directly from shapefile attributes
nodal_plane_dist = PMF([(0.3, NodalPlane(0, 30, 90)),
(0.2, NodalPlane(90, 30, 90)),
(0.3, NodalPlane(180, 30, 90)),
(0.2, NodalPlane(270, 30, 90))])
merged_pts = []
# Get mmax values and weights
mmaxs = {}
mmaxs_w = {}
for dom in params:
print 'Processing source %s' % dom['CODE']
print dom['TRT']
if dom['TRT'] == 'NCratonic':
dom['TRT'] = 'Non_cratonic'
# For the moment, only consider regions within AUstralia
if dom['TRT'] == 'Active' or dom['TRT'] == 'Interface' or \
dom['TRT'] == 'Oceanic' or \
dom['TRT'] == 'Intraslab' or dom['CODE'] == 'NECS' or \
dom['CODE'] == 'NWO':
print 'Source %s not on continental Australia, skipping' % dom[
'CODE']
continue
elif dom['TRT'] == 'Cratonic':
if dom['DOMAIN'] == 1:
mmax_values, mmax_weights = lt.get_weights('Mmax', 'Archean')
else:
mmax_values, mmax_weights = lt.get_weights(
'Mmax', 'Proterozoic')
# elif dom['TRT'] == 'Active':
# print 'MMax logic tree not yet defined for active crust, using extended crust'
# mmax_values, mmax_weights = lt.get_weights('Mmax', 'Extended')
else:
mmax_values, mmax_weights = lt.get_weights('Mmax', dom['TRT'])
mmax_values = [float(i) for i in mmax_values]
mmax_weights = [float(i) for i in mmax_weights]
print mmax_values
print mmax_weights
mmaxs[dom['CODE']] = mmax_values
mmaxs_w[dom['CODE']] = mmax_weights
pt_ids = []
#for trt, filename in filedict.iteritems():
# print trt
completeness_string = 'comp'
for ym in dom['COMPLETENESS']:
completeness_string += '_%i_%.1f' % (ym[0], ym[1])
mmin = dom['COMPLETENESS'][0][1]
filename = "%s_b%.3f_mmin%.1f_%s.xml" % (filename_stem, dom[bval_key],
mmin, completeness_string)
print 'Parsing %s' % filename
# TA kluge - hardwire jdg547 path
jdgpath = '/short/w84/NSHA18/sandpit/jdg547/NSHA2018/source_models/smoothed_seismicity/'
print filename
# Only keep points within domain
pts = read_pt_source(filename)
# shapes = np.where(trt_types
for shape in dsf.shapeRecords():
# print code_index
print shape.record[code_index]
if shape.record[code_index] == dom['CODE']:
# Check for undefined depths (-999 values)
if dom['DEP_BEST'] < 0:
print 'Setting best depth to 10 km'
dom['DEP_BEST'] = 10
if dom['DEP_UPPER'] < 0:
print 'Setting upper depth to 5 km'
dom['DEP_UPPER'] = 5
if dom['DEP_LOWER'] < 0:
print 'Setting lower depth to 15 km'
dom['DEP_LOWER'] = 15
hypo_depth_dist = PMF([(0.5, dom['DEP_BEST']),
(0.25, dom['DEP_LOWER']),
(0.25, dom['DEP_UPPER'])])
# Define nodal planes as thrusts except for special cases
str1 = dom['SHMAX'] + 90.
str2 = dom['SHMAX'] + 270.
str3 = dom['SHMAX'] + dom['SHMAX_SIG'] + 90.
str4 = dom['SHMAX'] + dom['SHMAX_SIG'] + 270.
str5 = dom['SHMAX'] - dom['SHMAX_SIG'] + 90.
str6 = dom['SHMAX'] - dom['SHMAX_SIG'] + 270.
strikes = [str1, str2, str3, str4, str5, str6]
for i, strike in enumerate(strikes):
if strike >= 360:
strikes[i] = strike - 360
# if strikes[i] >=360:
# strikes[i]=strikes[i]-360
nodal_plan_dist = PMF([(0.34, NodalPlane(strikes[0], 30, 90)),
(0.34, NodalPlane(strikes[1], 30, 90)),
(0.08, NodalPlane(strikes[2], 30, 90)),
(0.08, NodalPlane(strikes[3], 30, 90)),
(0.08, NodalPlane(strikes[4], 30, 90)),
(0.08, NodalPlane(strikes[5], 30, 90))])
if dom['CODE'] == 'WARM' or dom['CODE'] == 'WAPM':
print 'Define special case for WARM'
nodal_plan_dist = PMF([
(0.75, NodalPlane(45, 90, 0)),
(0.125, NodalPlane(strikes[0], 30, 90)),
(0.125, NodalPlane(strikes[1], 30, 90))
])
if dom['CODE'] == 'FMLR':
print 'Define special case for FMLR, 0.5 thrust, 0.5 SS'
nodal_plan_dist = PMF([
(0.17, NodalPlane(strikes[0], 30, 90)),
(0.17, NodalPlane(strikes[1], 30, 90)),
(0.04, NodalPlane(strikes[2], 30, 90)),
(0.04, NodalPlane(strikes[3], 30, 90)),
(0.04, NodalPlane(strikes[4], 30, 90)),
(0.04, NodalPlane(strikes[5], 30, 90)),
(0.17, NodalPlane(strikes[0], 90, 0)),
(0.17, NodalPlane(strikes[1], 90, 0)),
(0.04, NodalPlane(strikes[2], 90, 0)),
(0.04, NodalPlane(strikes[3], 90, 0)),
(0.04, NodalPlane(strikes[4], 90, 0)),
(0.04, NodalPlane(strikes[5], 90, 0))
])
dom_poly = Polygon(shape.shape.points)
for pt in pts:
pt_loc = Point(pt.location.x, pt.location.y)
if pt_loc.within(dom_poly):
pt.tectonic_region_type = dom['TRT']
pt.nodal_plane_distribution = nodal_plane_dist # FIXME! update based on data extracted from shapefile
pt.hypocenter_distribution = hypo_depth_dist
pt.rupture_aspect_ratio = 2
mfd = pt.mfd
new_mfd = gr2inc_mmax(mfd, mmaxs[dom['CODE']],
mmaxs_w[dom['CODE']], weight)
pt.mfd = new_mfd
if pt.source_id in pt_ids:
print 'Point source %s already exists!' % pt.source_id
print 'Skipping this source for trt %s' % zone_trt
else:
merged_pts.append(pt)
pt_ids.append(pt.source_id)
outfile = "%s_%s.xml" % (filename_stem, bval_key)
outfile = os.path.join(output_dir, outfile)
name = outfile.rstrip('.xml')
if nrml_version == '04':
nodes = list(map(obj_to_node, sorted(merged_pts)))
source_model = Node("sourceModel", {"name": name}, nodes=nodes)
with open(outfile, 'wb') as f:
nrml.write([source_model], f, '%s', xmlns=NAMESPACE)
return outfile
#print len(data[:,4])
tom = PoissonTOM(50) # Dummy temporal occurence model for building pt sources
msr = Leonard2014_SCR()
for j in range(len(data[:, 4])):
# print smoother.data[j,:]
identifier = 'FSS' + str(j)
name = 'Frankel' + str(j)
point = Point(data[j, 0], data[j, 1], data[j, 2])
rate = data[j, 4]
aval = np.log10(rate)
# aval = rate # trying this based on some testing
# aval = np.log10(rate) #+ bval*completeness_table_a[0][1]
# print aval
mfd = TruncatedGRMFD(min_mag, max_mag, 0.1, aval, bval)
hypo_depth_dist = PMF([(0.5, 10.0), (0.25, 5.0), (0.25, 15.0)])
nodal_plane_dist = PMF([(0.3, NodalPlane(0, 30, 90)),
(0.2, NodalPlane(90, 30, 90)),
(0.3, NodalPlane(180, 30, 90)),
(0.2, NodalPlane(270, 30, 90))])
point_source = PointSource(identifier, name, 'Non_cratonic', mfd, 2, msr,
2.0, tom, 0.1, 20.0, point, nodal_plane_dist,
hypo_depth_dist)
source_list.append(point_source)
# i+=1
# if j==1000:
# break
filename = "smoothed_frankel_50_3_mmin_%.1f_b%.3f_0.1.xml" % (
completeness_table_a[0][-1], bvalue)
mod_name = 'smoothed_frankel_50_3_mmin_%.1f_b%.3f_0.1' % (
completeness_table_a[0][-1], bvalue)
def run_smoothing(grid_lims,
smoothing_config,
catalogue,
completeness_table,
map_config,
run,
overwrite=True):
"""Run all the smoothing
"""
ystart = completeness_table[-1][0]
yend = catalogue.end_year
catalogue_comp = deepcopy(catalogue)
# Ensuring that catalogue is cleaned of earthquakes outside of
# completeness period
index = catalogue_comp.data['year'] >= ystart
catalogue_comp.purge_catalogue(index)
completeness_string = 'comp'
for ym in completeness_table:
completeness_string += '_%i_%.1f' % (ym[0], ym[1])
smoother_filename = 'Australia_Fixed_%i_%i_b%.3f_mmin_%.1f_0.1%s.csv' % (
smoothing_config["BandWidth"], smoothing_config["Length_Limit"],
bvalue, completeness_table[0][1], completeness_string)
filename = smoother_filename[:-4] + '.xml'
if os.path.exists(filename) and not overwrite:
print '%s already created, not overwriting!' % filename
return
smoother = SmoothedSeismicity(
[105., 160., 0.1, -47., -5, 0.1, 0., 20., 20.],
bvalue=smoothing_config['bvalue'])
print 'Running smoothing'
smoothed_grid = smoother.run_analysis(
catalogue_comp,
smoothing_config,
completeness_table=completeness_table)
smoother.write_to_csv(smoother_filename)
from openquake.hazardlib.nrml import SourceModelParser, write, NAMESPACE
from openquake.baselib.node import Node
from openquake.hazardlib import nrml
from openquake.hazardlib.sourcewriter import obj_to_node
# Build nrml input file of point sources
source_list = []
#i=0
min_mag = 4.5
max_mag = 7.8
bval = bvalue # just define as 1 for time being
# Read in data again to solve number fomatting issue in smoother.data
# For some reason it just returns 0 for all a values
try:
data = np.genfromtxt(smoother_filename, delimiter=',', skip_header=1)
except ValueError:
print 'Something wrong with file %s' % smoother_filename
sys.exit()
tom = PoissonTOM(
50) # Dummy temporal occurence model for building pt sources
msr = Leonard2014_SCR()
for j in range(len(data[:, 4])):
# print smoother.data[j,:]
identifier = 'FSS' + str(j) + '_' + str(run)
name = 'Frankel' + str(j) + '_' + str(run)
point = Point(data[j, 0], data[j, 1], data[j, 2])
annual_rate = data[j, 4] / (yend - ystart + 1)
aval = np.log10(annual_rate) + smoothing_config[
'bvalue'] * completeness_table[0][1]
mfd = TruncatedGRMFD(min_mag, max_mag, 0.1, aval, bval)
hypo_depth_dist = PMF([(0.5, 10.0), (0.25, 5.0), (0.25, 15.0)])
nodal_plane_dist = PMF([(0.3, NodalPlane(0, 30, 90)),
(0.2, NodalPlane(90, 30, 90)),
(0.3, NodalPlane(180, 30, 90)),
(0.2, NodalPlane(270, 30, 90))])
point_source = PointSource(identifier, name, 'Non_cratonic', mfd, 2,
msr, 2.0, tom, 0.1, 20.0, point,
nodal_plane_dist, hypo_depth_dist)
source_list.append(point_source)
nodes = list(map(obj_to_node, sorted(source_list)))
source_model = Node("sourceModel", {"name": name}, nodes=nodes)
with open(filename, 'wb') as f:
nrml.write([source_model], f, '%s', xmlns=NAMESPACE)
# Creating a basemap - input a cconfiguration and (if desired) a title
title = 'Smoothed seismicity rate for learning \nperiod %i 2017, Mmin = %.1f' % (
completeness_table[0][0], completeness_table[0][1])
basemap1 = HMTKBaseMap(map_config, 'Smoothed seismicity rate')
# Adding the smoothed grip to the basemap
sym = (2., 3., 'cx')
x, y = basemap1.m(smoother.data[:, 0], smoother.data[:, 1])
basemap1.m.scatter(x,
y,
marker='s',
c=np.log10(smoother.data[:, 4]),
cmap=plt.cm.coolwarm,
zorder=10,
lw=0,
vmin=-6.5,
vmax=1.5)
basemap1.m.drawcoastlines(linewidth=1, zorder=50) # Add coastline on top
basemap1.m.drawmeridians(
np.arange(map_config['min_lat'], map_config['max_lat'], 5))
basemap1.m.drawparallels(
np.arange(map_config['min_lon'], map_config['max_lon'], 5))
plt.colorbar(label='log10(Smoothed rate per cell)')
plt.legend()
figname = smoother_filename[:-4] + '_smoothed_rates_map.png'
plt.savefig(figname)
from openquake.hazardlib.calc.filters import SourceFilter, FarAwayRupture
from openquake.hazardlib.mfd import EvenlyDiscretizedMFD
from openquake.hazardlib.sourceconverter import SourceConverter
# ######################## rupture calculator ############################ #
U16 = numpy.uint16
U32 = numpy.uint32
U64 = numpy.uint64
F32 = numpy.float32
# DEFAULT VALUES FOR UCERF BACKGROUND MODELS
DEFAULT_MESH_SPACING = 1.0
DEFAULT_TRT = "Active Shallow Crust"
HDD = PMF([(0.2, 3.0), (0.6, 6.0), (0.2, 9.0)])
NPD = PMF([(0.15, NodalPlane(0.0, 90.0, 0.0)),
(0.15, NodalPlane(45.0, 90.0, 0.0)),
(0.15, NodalPlane(90.0, 90.0, 0.0)),
(0.15, NodalPlane(135.0, 90.0, 0.0)),
(0.05, NodalPlane(0.0, 45.0, 90.)),
(0.05, NodalPlane(45.0, 45.0, 90.)),
(0.05, NodalPlane(90.0, 45.0, 90.)),
(0.05, NodalPlane(135.0, 45.0, 90.)),
(0.05, NodalPlane(180.0, 45.0, 90.)),
(0.05, NodalPlane(225.0, 45.0, 90.)),
(0.05, NodalPlane(270.0, 45.0, 90.)),
(0.05, NodalPlane(325.0, 45.0, 90.))])
class ImperfectPlanarSurface(PlanarSurface):
"""
def test_corner_cases(self):
np = NodalPlane(strike=0, dip=0.001, rake=-180 + 1e-5)
self.assertEqual((np.strike, np.dip, np.rake), (0, 0.001, -180 + 1e-5))
np = NodalPlane(strike=360 - 1e-5, dip=90, rake=+180)
self.assertEqual((np.strike, np.dip, np.rake), (360 - 1e-5, 90, +180))
def pt2fault_distance(pt_sources,
fault_sources,
min_distance=5.0,
filename='source_model.xml',
buffer_distance=100.,
nrml_version='04',
name=None):
"""Calculate distances from a pt source rupture plane
to the fault sources to then reduce Mmax on events that are
within a certain distance
:param pt_sources:
list of PointSource objects
:param fault_sources:
List of FaultSource objects
:param min_distance:
Minimum distance (km) within which we want a point source
rupture to be from a fault.
:param filename:
Name of output nrml file for revised pt source model
:param buffer_distance:
Km, initial filter to only process pts within this
distance from the fault
"""
if name is None:
name = filename[:-4] + '_geom_filtered'
id_index = 0 # We need to re-number all sources to avoid duplicate ids
# Extract the points of the fault source mesh
fault_lons = []
fault_lats = []
fault_depths = []
for fault in fault_sources:
whole_fault_surface = SimpleFaultSurface.from_fault_data(
fault.fault_trace, fault.upper_seismogenic_depth,
fault.lower_seismogenic_depth, fault.dip,
fault.rupture_mesh_spacing)
fault_lons.append(whole_fault_surface.mesh.lons.flatten())
fault_lats.append(whole_fault_surface.mesh.lats.flatten())
fault_depths.append(whole_fault_surface.mesh.depths.flatten())
fault_lons = np.concatenate(fault_lons)
fault_lats = np.concatenate(fault_lats)
fault_depths = np.concatenate(fault_depths)
min_fault_lon = np.min(fault_lons)
max_fault_lon = np.max(fault_lons)
min_fault_lat = np.min(fault_lats)
max_fault_lat = np.max(fault_lats)
# Generate ruptures for point sources
minimum_distance_list = []
revised_point_sources = {
'Cratonic': [],
'Non_cratonic': [],
'Extended': [],
'Banda': []
}
for pt in pt_sources:
print 'Looping over point sources'
# For speeding things up filter based on initial distances
# to find points very far from or very close to a fault
mfd_type = type(pt.mfd).__name__
pt_depths = []
for probs, depths in pt.hypocenter_distribution.data:
pt_depths.append(depths)
np_probs = []
np_list = []
for prob, nodal_plane in pt.nodal_plane_distribution.data:
np_probs.append(prob)
np_list.append(nodal_plane)
centroid_distances = []
for pt_depth in pt_depths:
centroid_distances.append(
distance(pt.location.longitude, pt.location.latitude, pt_depth,
fault_lons, fault_lats, fault_depths))
centroid_distances = np.array(centroid_distances).flatten()
# print 'Minimum distance', min(centroid_distances)
# print 'Maximum distance', max(centroid_distances)
if (min(centroid_distances)) > buffer_distance:
# Keep point as it, not within buffer distance of any faults
revised_point_sources[pt.tectonic_region_type].append(pt)
continue
if (min(centroid_distances)) < min_distance:
# Discard point sources as too close to a fault
print 'Discarding point source, too close to a fault'
continue
rupture_mags = []
rupture_lons = []
rupture_lats = []
rupture_depths = []
rupture_strikes = []
rupture_dips = []
ruptures = pt.iter_ruptures()
for rupture in ruptures:
rupture_mags.append(rupture.mag)
rupture_lons.append(rupture.surface.corner_lons)
rupture_lats.append(rupture.surface.corner_lats)
rupture_depths.append(rupture.surface.corner_depths)
rupture_strikes.append(rupture.surface.strike)
rupture_dips.append(rupture.surface.dip)
rupture_mags = np.array(rupture_mags).flatten()
# make the same length as the corners
rupture_mags = np.repeat(rupture_mags, 4)
rupture_strikes = np.repeat(rupture_strikes, 4)
rupture_dips = np.repeat(rupture_dips, 4)
rupture_lons = np.array(rupture_lons).flatten()
rupture_lats = np.array(rupture_lats).flatten()
rupture_depths = np.array(rupture_depths).flatten()
print 'Doing meshgrid'
lons1, lons2 = np.meshgrid(fault_lons, rupture_lons)
lats1, lats2 = np.meshgrid(fault_lats, rupture_lats)
depths1, depths2 = np.meshgrid(fault_depths, rupture_depths)
# Calculate distance from pt to all fault
print 'Distance calculations'
distances = distance(lons1, lats1, depths1, lons2, lats2, depths2)
closest_distance_to_faults = np.min(distances)
print 'Shortest pt to fault distance is', closest_distance_to_faults
minimum_distance_list.append(closest_distance_to_faults)
# Find where the distance is less than the threshold min_distance
too_close_lons = lons2[np.where(distances < min_distance)]
too_close_lats = lats2[np.where(distances < min_distance)]
if too_close_lons.size > 0:
lon_indices = np.where(np.in1d(rupture_lons, too_close_lons))[0]
lat_indices = np.where(np.in1d(rupture_lats, too_close_lats))[0]
too_close_mags = rupture_mags[np.intersect1d(
lon_indices, lat_indices)]
too_close_strikes = rupture_strikes[np.intersect1d(
lon_indices, lat_indices)]
too_close_dips = rupture_dips[np.intersect1d(
lon_indices, lat_indices)]
# print 'Magnitudes of rupture close to fault', too_close_mags
# print 'Strikes of rupture close to fault', too_close_strikes
# print 'Dips of rupture close to fault', too_close_dips
unique_strikes = np.unique(rupture_strikes)
unique_dips = np.unique(rupture_dips)
src_name_index = 0
for prob, nodal_plane in pt.nodal_plane_distribution.data:
id_index += 1
src_name_index += 1
# We are now splitting the source into many with different
# combinations of Mmaxs and nodal planes
new_pt = copy.deepcopy(pt)
new_pt.source_id = "%i" % id_index
new_pt.name = new_pt.name + ("_%i" % src_name_index)
new_np = NodalPlane(nodal_plane.strike, nodal_plane.dip,
nodal_plane.rake)
new_np_distribution = PMF([
(1.0, new_np)
]) # weight of nodal plane is 1 as making
# a separate source
# Calculate new rates based on probability of original nodal plane
new_pt.nodal_plane_distribution = new_np_distribution
if mfd_type == 'TruncatedGRMFD':
b_val = pt.mfd.b_val
# rescale a value in log sapce
a_val = np.log10(np.power(10, pt.mfd.a_val) *
prob) #*area_src_weight))
new_pt.mfd.modify_set_ab(a_val, b_val)
elif mfd_type == 'EvenlyDiscretizedMFD':
mag_bins, rates = zip(
*pt.mfd.get_annual_occurrence_rates())
mag_bins = np.array(mag_bins)
rates = np.array(rates)
new_rates = rates * prob #*area_src_weight)
new_pt.mfd.modify_set_mfd(new_pt.mfd.min_mag,
new_pt.mfd.bin_width,
list(new_rates))
else:
msg = 'Weighting method for mfd type %s not yet defined' % mfd_type
raise (msg)
pair_index = np.where(
np.logical_and(too_close_strikes == nodal_plane.strike,
too_close_dips == nodal_plane.dip))
# Deal with intersecting cases
if len(pair_index[0]) > 0:
intersecting_magnitudes = too_close_mags[pair_index]
minimum_magnitude_intersecting_fault = min(
intersecting_magnitudes)
if minimum_magnitude_intersecting_fault >= \
(pt.mfd.min_mag + pt.mfd.bin_width):
new_mmax = minimum_magnitude_intersecting_fault - \
pt.mfd.bin_width
if mfd_type == 'TruncatedGRMFD':
new_pt.mfd.max_mag = new_mmax
if mfd_type == 'EvenlyDiscretizedMFD':
trimmed_rates = new_rates[np.where(
mag_bins <= new_mmax)]
else:
print 'Minimum magnitude intersects fault, discarding source'
continue
else:
pass
# Append revised source for given nodal plane distribution to
# list of revised sources
print 'Appending revised source'
revised_point_sources[pt.tectonic_region_type].append(new_pt)
else:
id_index += 1
pt.source_id = "%i" % id_index
'Appending original source'
revised_point_sources[pt.tectonic_region_type].append(pt)
if len(minimum_distance_list) > 0:
print 'Overall minimum distance (km):', min(minimum_distance_list)
# Write pts to source model on their own
source_model_file = filename
print 'Writing to source model file %s' % source_model_file
if nrml_version == '04':
source_list = []
for trt, sources in revised_point_sources.iteritems():
for source in sources:
source_list.append(source)
nodes = list(map(obj_to_node, sorted(source_list)))
source_model = Node("sourceModel", {"name": name}, nodes=nodes)
with open(source_model_file, 'wb') as f:
nrml.write([source_model], f, '%s', xmlns=NAMESPACE)
elif nrml_version == '05':
source_group_list = []
id = 0
for trt, sources in revised_point_sources.iteritems():
source_group = SourceGroup(trt, sources=sources, id=id)
id += 1
source_group_list.append(source_group)
write_source_model(source_model_file, source_group_list, name=name)
else:
print 'Warning: nrml version not specfied, xml not created'
# Write pts to source model with faults
source_model_file = filename[:-4] + '_inc_faults.xml'
name = name + '_inc_faults'
write_combined_faults_points(revised_point_sources,
fault_sources,
source_model_file,
name,
nrml_version='04')
