def ORNL_events_to_cat(ornl_file):
"""Make Catalog from ORNL locations"""
cat = Catalog()
loc_df = pd.read_csv(ornl_file, infer_datetime_format=True)
loc_df = loc_df.set_index('event_datetime')
eid = 0
for dt, row in loc_df.iterrows():
ot = UTCDateTime(dt)
hmc_east = row['x(m)']
hmc_north = row['y(m)']
hmc_elev = row['z(m)']
errX = row['error_x (m)']
errY = row['error_y (m)']
errZ = row['error_z (m)']
rms = row['rms (millisecond)']
converter = SURF_converter()
lon, lat, elev = converter.to_lonlat((hmc_east, hmc_north,
hmc_elev))
o = Origin(time=ot, latitude=lat, longitude=lon, depth=130 - elev)
o.origin_uncertainty = OriginUncertainty()
o.quality = OriginQuality()
ou = o.origin_uncertainty
oq = o.quality
ou.max_horizontal_uncertainty = np.max([errX, errY])
ou.min_horizontal_uncertainty = np.min([errX, errY])
o.depth_errors.uncertainty = errZ
oq.standard_error = rms * 1e3
extra = AttribDict({
'hmc_east': {
'value': hmc_east,
'namespace': 'smi:local/hmc'
},
'hmc_north': {
'value': hmc_north,
'namespace': 'smi:local/hmc'
},
'hmc_elev': {
'value': hmc_elev,
'namespace': 'smi:local/hmc'
},
'hmc_eid': {
'value': eid,
'namespace': 'smi:local/hmc'
}
})
o.extra = extra
rid = ResourceIdentifier(id=ot.strftime('%Y%m%d%H%M%S%f'))
# Dummy magnitude of 1. for all events until further notice
mag = Magnitude(mag=1., mag_errors=QuantityError(uncertainty=1.))
ev = Event(origins=[o], magnitudes=[mag], resource_id=rid)
ev.preferred_origin_id = o.resource_id.id
cat.events.append(ev)
eid += 1
return cat
def surf_events_to_cat(loc_file, pick_file):
"""
Take location files (hypoinverse formatted) and picks (format TBD)
and creates a single obspy catalog for later use and dissemination.
:param loc_file: File path
:param pick_file: File path
:return: obspy.core.Catalog
"""
# Read/parse location file and create Events for each
surf_cat = Catalog()
# Parse the pick file to a dictionary
pick_dict = parse_picks(pick_file)
with open(loc_file, 'r') as f:
next(f)
for ln in f:
ln = ln.strip('\n')
line = ln.split(',')
eid = line[0]
if eid not in pick_dict:
print('No picks for this location, skipping for now.')
continue
ot = UTCDateTime(line[1])
hmc_east = float(line[2])
hmc_north = float(line[3])
hmc_elev = float(line[4])
gap = float(line[-5])
rms = float(line[-3])
errXY = float(line[-2])
errZ = float(line[-1])
converter = SURF_converter()
lon, lat, elev = converter.to_lonlat((hmc_east, hmc_north,
hmc_elev))
o = Origin(time=ot, longitude=lon, latitude=lat, depth=130 - elev)
o.origin_uncertainty = OriginUncertainty()
o.quality = OriginQuality()
ou = o.origin_uncertainty
oq = o.quality
ou.horizontal_uncertainty = errXY * 1e3
ou.preferred_description = "horizontal uncertainty"
o.depth_errors.uncertainty = errZ * 1e3
oq.standard_error = rms
oq.azimuthal_gap = gap
extra = AttribDict({
'hmc_east': {
'value': hmc_east,
'namespace': 'smi:local/hmc'
},
'hmc_north': {
'value': hmc_north,
'namespace': 'smi:local/hmc'
},
'hmc_elev': {
'value': hmc_elev,
'namespace': 'smi:local/hmc'
},
'hmc_eid': {
'value': eid,
'namespace': 'smi:local/hmc'
}
})
o.extra = extra
rid = ResourceIdentifier(id=ot.strftime('%Y%m%d%H%M%S%f'))
# Dummy magnitude of 1. for all events until further notice
mag = Magnitude(mag=1., mag_errors=QuantityError(uncertainty=1.))
ev = Event(origins=[o], magnitudes=[mag],
picks=pick_dict[eid], resource_id=rid)
surf_cat.append(ev)
return surf_cat
def _map_join2origin(self, db):
"""
Return an Origin instance from an dict of CSS key/values
Inputs
======
db : dict of key/values of CSS fields related to the origin (see Join)
Returns
=======
obspy.core.event.Origin
Notes
=====
Any object that supports the dict 'get' method can be passed as
input, e.g. OrderedDict, custom classes, etc.
Join
----
origin <- origerr (outer)
"""
#-- Basic location ------------------------------------------
origin = Origin()
origin.latitude = db.get('lat')
origin.longitude = db.get('lon')
origin.depth = _km2m(db.get('depth'))
origin.time = _utc(db.get('time'))
origin.extra = {}
#-- Quality -------------------------------------------------
quality = OriginQuality(
associated_phase_count = db.get('nass'),
used_phase_count = db.get('ndef'),
standard_error = db.get('sdobs'),
)
origin.quality = quality
#-- Solution Uncertainties ----------------------------------
# in CSS the ellipse is projected onto the horizontal plane
# using the covariance matrix
uncertainty = OriginUncertainty()
a = _km2m(db.get('smajax'))
b = _km2m(db.get('sminax'))
s = db.get('strike')
dep_u = _km2m(db.get('sdepth'))
time_u = db.get('stime')
uncertainty.max_horizontal_uncertainty = a
uncertainty.min_horizontal_uncertainty = b
uncertainty.azimuth_max_horizontal_uncertainty = s
uncertainty.horizontal_uncertainty = a
uncertainty.preferred_description = "horizontal uncertainty"
if db.get('conf') is not None:
uncertainty.confidence_level = db.get('conf') * 100.
if uncertainty.horizontal_uncertainty is not None:
origin.origin_uncertainty = uncertainty
#-- Parameter Uncertainties ---------------------------------
if all([a, b, s]):
n, e = _get_NE_on_ellipse(a, b, s)
lat_u = _m2deg_lat(n)
lon_u = _m2deg_lon(e, lat=origin.latitude)
origin.latitude_errors = {'uncertainty': lat_u}
origin.longitude_errors = {'uncertainty': lon_u}
if dep_u:
origin.depth_errors = {'uncertainty': dep_u}
if time_u:
origin.time_errors = {'uncertainty': time_u}
#-- Analyst-determined Status -------------------------------
posted_author = _str(db.get('auth'))
mode, status = self.get_event_status(posted_author)
origin.evaluation_mode = mode
origin.evaluation_status = status
# Save etype per origin due to schema differences...
css_etype = _str(db.get('etype'))
# Compatible with future patch rename "_namespace" -> "namespace"
origin.extra['etype'] = {
'value': css_etype,
'namespace': CSS_NAMESPACE
}
origin.creation_info = CreationInfo(
creation_time = _utc(db.get('lddate')),
agency_id = self.agency,
version = db.get('orid'),
author = posted_author,
)
origin.resource_id = self._rid(origin)
return origin
