def xml_vs_mfd(source_id, source_model_fname, model_id,
oqmbt_project_fname):
"""
:param str source_id:
The ID of the source to be analysed
:param str source_model_fname:
The name of the xml shapefile
:param str model_id:
The model ID
"""
#
# read the source_model
src_model, info = read(source_model_fname)
#
# compute total mfd sources
tmfd = get_total_mfd(src_model)
#
# read project
oqtkp = OQtProject.load_from_file(oqmbt_project_fname)
model_id = oqtkp.active_model_id
model = oqtkp.models[model_id]
#
# get source mfd
src = model.sources[source_id]
mfd = src.mfd
if isinstance(src.mfd, TruncatedGRMFD):
mfd = get_evenlyDiscretizedMFD_from_truncatedGRMFD(mfd)
#
# compute total mfd sources
plt.figure(figsize=(10, 8))
plot_mfd_cumulative(tmfd)
plot_mfd_cumulative(mfd, title=source_model_fname)
def get_total_mfd(sources, trt=None):
"""
:param list sources:
A list of :class:`openquake.hazardlib.source.Source` instances
:returns:
A :class:`openquake.man.checks.mfd.EEvenlyDiscretizedMFD` instance
"""
#
#
mfdall = mfdt.EEvenlyDiscretizedMFD(5.1, 0.1, [1e-20])
for src in sources:
if ((trt is not None and trt == src.tectonic_region_type)
or (trt is None)):
mfd = src.mfd
if isinstance(src.mfd, TruncatedGRMFD):
mfd = mfdt.get_evenlyDiscretizedMFD_from_truncatedGRMFD(mfd)
mfdall.stack(mfd)
return mfdall
def check_mfds(fname_input_pattern: str, fname_config: str):
for fname in sorted(glob(fname_input_pattern)):
src_id = _get_src_id(fname)
model = toml.load(fname_config)
binw = 0.1
sourceconv = SourceConverter(investigation_time=1.0,
rupture_mesh_spacing=5.0,
complex_fault_mesh_spacing=5.0,
width_of_mfd_bin=binw)
ssm = to_python(fname, sourceconv)
for grp in ssm:
for i, src in enumerate(grp):
if i == 0:
nmfd = EEvenlyDiscretizedMFD.from_mfd(src.mfd, binw)
else:
tmfd = get_evenlyDiscretizedMFD_from_truncatedGRMFD(src.mfd, nmfd.bin_width)
nmfd.stack(tmfd)
occ = np.array(nmfd.get_annual_occurrence_rates())
bgr = model["sources"][src_id]["bgr_weichert"]
agr = model["sources"][src_id]["agr_weichert"]
tmp = occ[:,0] - binw
mfd = 10.0**(agr-bgr*tmp[:-1])-10.0**(agr-bgr*(tmp[:-1]+binw))
fig = plt.figure(figsize=(8, 6))
plt.plot(occ[:, 0], occ[:, 1], 'o')
plt.plot(tmp[:-1]+binw/2, mfd, 'x')
print(mfd)
plt.title(fname)
plt.xlabel('Magnitude')
plt.ylabel('Annual occurrence rate')
plt.yscale('log')
plt.show()