def compute_gmfs(job_id, sites, rupture_id, gmfcoll_id, realizations):
"""
Compute ground motion fields and store them in the db.
:param job_id:
ID of the currently running job.
:param sites:
The subset of the full SiteCollection scanned by this task
:param rupture_id:
The parsed rupture model from which we will generate
ground motion fields.
:param gmfcoll_id:
the id of a :class:`openquake.engine.db.models.Gmf` record
:param realizations:
Number of realizations to create.
"""
hc = models.HazardCalculation.objects.get(oqjob=job_id)
rupture_mdl = source.nrml_to_hazardlib(
models.ParsedRupture.objects.get(id=rupture_id).nrml,
hc.rupture_mesh_spacing, None, None)
imts = [haz_general.imt_to_hazardlib(x)
for x in hc.intensity_measure_types]
gsim = AVAILABLE_GSIMS[hc.gsim]() # instantiate the GSIM class
correlation_model = haz_general.get_correl_model(hc)
with EnginePerformanceMonitor('computing gmfs', job_id, gmfs):
gmf = ground_motion_fields(
rupture_mdl, sites, imts, gsim,
hc.truncation_level, realizations=realizations,
correlation_model=correlation_model)
with EnginePerformanceMonitor('saving gmfs', job_id, gmfs):
save_gmf(gmfcoll_id, gmf, sites)
def compute_gmfs(job_id, rupture_ids, output_id, task_no, realizations):
"""
Compute ground motion fields and store them in the db.
:param job_id:
ID of the currently running job.
:param rupture_ids:
List of ids of parsed rupture model from which we will generate
ground motion fields.
:param output_id:
output_id idenfitifies the reference to the output record.
:param task_no:
The task_no in which the calculation results will be placed.
This ID basically corresponds to the sequence number of the task,
in the context of the entire calculation.
:param realizations:
Number of realizations which are going to be created.
"""
hc = models.HazardCalculation.objects.get(oqjob=job_id)
rupture_mdl = source.nrml_to_hazardlib(
models.ParsedRupture.objects.get(id=rupture_ids[0]).nrml,
hc.rupture_mesh_spacing, None, None)
imts = [haz_general.imt_to_hazardlib(x)
for x in hc.intensity_measure_types]
gsim = AVAILABLE_GSIMS[hc.gsim]
correlation_model = haz_general.get_correl_model(hc)
gmf = ground_motion_fields(
rupture_mdl, hc.site_collection, imts, gsim(),
hc.truncation_level, realizations=realizations,
correlation_model=correlation_model)
save_gmf(output_id, gmf, hc.site_collection.mesh, task_no)
def compute_gmfs(job_id, sites, rupture, gmf_id, realizations):
"""
Compute ground motion fields and store them in the db.
:param job_id:
ID of the currently running job.
:param sites:
The subset of the full SiteCollection scanned by this task
:param rupture:
The hazardlib rupture from which we will generate
ground motion fields.
:param gmf_id:
the id of a :class:`openquake.engine.db.models.Gmf` record
:param realizations:
Number of realizations to create.
"""
hc = models.HazardCalculation.objects.get(oqjob=job_id)
imts = [from_string(x) for x in hc.intensity_measure_types]
gsim = AVAILABLE_GSIMS[hc.gsim]() # instantiate the GSIM class
correlation_model = haz_general.get_correl_model(hc)
with EnginePerformanceMonitor('computing gmfs', job_id, gmfs):
return ground_motion_fields(
rupture, sites, imts, gsim,
hc.truncation_level, realizations=realizations,
correlation_model=correlation_model)
def compute_gmfs(job_id, sites, rupture_id, output_id, realizations):
"""
Compute ground motion fields and store them in the db.
:param job_id:
ID of the currently running job.
:param sites:
The subset of the full SiteCollection scanned by this task
:param rupture_id:
The parsed rupture model from which we will generate
ground motion fields.
:param output_id:
output_id idenfitifies the reference to the output record.
:param realizations:
Number of realizations to create.
"""
hc = models.HazardCalculation.objects.get(oqjob=job_id)
rupture_mdl = source.nrml_to_hazardlib(
models.ParsedRupture.objects.get(id=rupture_id).nrml,
hc.rupture_mesh_spacing, None, None)
imts = [haz_general.imt_to_hazardlib(x)
for x in hc.intensity_measure_types]
gsim = AVAILABLE_GSIMS[hc.gsim]() # instantiate the GSIM class
correlation_model = haz_general.get_correl_model(hc)
gmf = ground_motion_fields(
rupture_mdl, sites, imts, gsim,
hc.truncation_level, realizations=realizations,
correlation_model=correlation_model)
save_gmf(output_id, gmf, sites.mesh)
def test_mearn_nearfault_distance_taper(self):
rupture = self.make_rupture()
site1 = Site(location=Point(27.9, 41), vs30=1200.,
vs30measured=True, z1pt0=2.36, z2pt5=2.)
site2 = Site(location=Point(28.1, 41), vs30=1200.,
vs30measured=True, z1pt0=2.36, z2pt5=2.)
sites = SiteCollection([site1, site2])
fields = ground_motion_fields(
rupture, sites, [PGV()], ChiouYoungs2014NearFaultEffect(),
truncation_level=0, realizations=1)
gmf = fields[PGV()]
self.assertAlmostEquals(2.27395, gmf[0], delta=1e-4)
self.assertAlmostEquals(3.38409, gmf[1], delta=1e-4)
def test_mearn_nearfault_distance_taper(self):
rupture = self.make_rupture()
site1 = Site(location=Point(27.9, 41), vs30=1200.,
vs30measured=True, z1pt0=2.36, z2pt5=2.)
site2 = Site(location=Point(28.1, 41), vs30=1200.,
vs30measured=True, z1pt0=2.36, z2pt5=2.)
sites = SiteCollection([site1, site2])
fields = ground_motion_fields(
rupture, sites, [PGV()], ChiouYoungs2014NearFaultEffect(),
truncation_level=0, realizations=1)
gmf = fields[PGV()]
self.assertAlmostEquals(2.27395, gmf[0], delta=1e-4)
self.assertAlmostEquals(3.38409, gmf[1], delta=1e-4)
def ground_motion_from_rupture(rupture,
sites=None,
imts=[PGA()],
gsim=ChiouYoungs2014(),
truncation_level=4,
realizations=1,
**kwargs):
gm = ground_motion_fields(rupture=rupture,
sites=sites,
imts=imts,
gsim=gsim,
truncation_level=truncation_level,
realizations=realizations)
return gm