def toTensor(a):
t = Tensor(m_rr=a[0, 0],
m_tt=a[1, 1],
m_pp=a[2, 2],
m_rt=a[0, 1],
m_rp=a[0, 2],
m_tp=a[1, 2])
return t
def _parseRecordDt(self, line, focal_mechanism):
"""
Parses the 'source parameter data - tensor' record Dt
"""
tensor = Tensor()
exponent = self._intZero(line[3:5])
scale = math.pow(10, exponent)
for i in xrange(6, 51 + 1, 9):
code = line[i:i + 2]
value = self._floatWithFormat(line[i + 2:i + 6], '4.2', scale)
error = self._floatWithFormat(line[i + 6:i + 9], '3.2', scale)
self._tensorStore(tensor, code, value, error)
focal_mechanism.moment_tensor.tensor = tensor
def event_to_quakeml(event, filename):
"""
Write one of those events to QuakeML.
"""
# Create all objects.
cat = Catalog()
ev = Event()
org = Origin()
mag = Magnitude()
fm = FocalMechanism()
mt = MomentTensor()
t = Tensor()
# Link them together.
cat.append(ev)
ev.origins.append(org)
ev.magnitudes.append(mag)
ev.focal_mechanisms.append(fm)
fm.moment_tensor = mt
mt.tensor = t
# Fill values
ev.resource_id = "smi:inversion/%s" % str(event["identifier"])
org.time = event["time"]
org.longitude = event["longitude"]
org.latitude = event["latitude"]
org.depth = event["depth_in_km"] * 1000
mag.mag = event["Mw"]
mag.magnitude_type = "Mw"
t.m_rr = event["Mrr"]
t.m_tt = event["Mpp"]
t.m_pp = event["Mtt"]
t.m_rt = event["Mrt"]
t.m_rp = event["Mrp"]
t.m_tp = event["Mtp"]
cat.write(filename, format="quakeml")
def event_to_quakeml(event, filename):
"""
Write one of those events to QuakeML.
"""
# Create all objects.
cat = Catalog()
ev = Event()
org = Origin()
mag = Magnitude()
fm = FocalMechanism()
mt = MomentTensor()
t = Tensor()
# Link them together.
cat.append(ev)
ev.origins.append(org)
ev.magnitudes.append(mag)
ev.focal_mechanisms.append(fm)
fm.moment_tensor = mt
mt.tensor = t
# Fill values
ev.resource_id = "smi:inversion/%s" % str(event["identifier"])
org.time = event["time"]
org.longitude = event["longitude"]
org.latitude = event["latitude"]
org.depth = event["depth_in_km"] * 1000
mag.mag = event["Mw"]
mag.magnitude_type = "Mw"
t.m_rr = event["Mrr"]
t.m_tt = event["Mpp"]
t.m_pp = event["Mtt"]
t.m_rt = event["Mrt"]
t.m_rp = event["Mrp"]
t.m_tp = event["Mtp"]
cat.write(filename, format="quakeml")
def test_creating_minimal_quakeml_with_mt(self):
"""
Tests the creation of a minimal QuakeML containing origin, magnitude
and moment tensor.
"""
# Rotate into physical domain
lat, lon, depth, org_time = 10.0, -20.0, 12000, UTCDateTime(2012, 1, 1)
mrr, mtt, mpp, mtr, mpr, mtp = 1E18, 2E18, 3E18, 3E18, 2E18, 1E18
scalar_moment = math.sqrt(
mrr ** 2 + mtt ** 2 + mpp ** 2 + mtr ** 2 + mpr ** 2 + mtp ** 2)
moment_magnitude = 0.667 * (math.log10(scalar_moment) - 9.1)
# Initialise event
ev = Event(event_type="earthquake")
ev_origin = Origin(time=org_time, latitude=lat, longitude=lon,
depth=depth, resource_id=ResourceIdentifier())
ev.origins.append(ev_origin)
# populate event moment tensor
ev_tensor = Tensor(m_rr=mrr, m_tt=mtt, m_pp=mpp, m_rt=mtr, m_rp=mpr,
m_tp=mtp)
ev_momenttensor = MomentTensor(tensor=ev_tensor)
ev_momenttensor.scalar_moment = scalar_moment
ev_momenttensor.derived_origin_id = ev_origin.resource_id
ev_focalmechanism = FocalMechanism(moment_tensor=ev_momenttensor)
ev.focal_mechanisms.append(ev_focalmechanism)
# populate event magnitude
ev_magnitude = Magnitude()
ev_magnitude.mag = moment_magnitude
ev_magnitude.magnitude_type = 'Mw'
ev_magnitude.evaluation_mode = 'automatic'
ev.magnitudes.append(ev_magnitude)
# write QuakeML file
cat = Catalog(events=[ev])
memfile = io.BytesIO()
cat.write(memfile, format="quakeml", validate=IS_RECENT_LXML)
memfile.seek(0, 0)
new_cat = _read_quakeml(memfile)
self.assertEqual(len(new_cat), 1)
event = new_cat[0]
self.assertEqual(len(event.origins), 1)
self.assertEqual(len(event.magnitudes), 1)
self.assertEqual(len(event.focal_mechanisms), 1)
org = event.origins[0]
mag = event.magnitudes[0]
fm = event.focal_mechanisms[0]
self.assertEqual(org.latitude, lat)
self.assertEqual(org.longitude, lon)
self.assertEqual(org.depth, depth)
self.assertEqual(org.time, org_time)
# Moment tensor.
mt = fm.moment_tensor.tensor
self.assertTrue((fm.moment_tensor.scalar_moment - scalar_moment) /
scalar_moment < scalar_moment * 1E-10)
self.assertEqual(mt.m_rr, mrr)
self.assertEqual(mt.m_pp, mpp)
self.assertEqual(mt.m_tt, mtt)
self.assertEqual(mt.m_rt, mtr)
self.assertEqual(mt.m_rp, mpr)
self.assertEqual(mt.m_tp, mtp)
# Mag
self.assertAlmostEqual(mag.mag, moment_magnitude)
self.assertEqual(mag.magnitude_type, "Mw")
self.assertEqual(mag.evaluation_mode, "automatic")
def _read_ndk(filename, *args, **kwargs): # @UnusedVariable
"""
Reads an NDK file to a :class:`~obspy.core.event.Catalog` object.
:param filename: File or file-like object in text mode.
"""
# Read the whole file at once. While an iterator would be more efficient
# the largest NDK file out in the wild is 13.7 MB so it does not matter
# much.
if not hasattr(filename, "read"):
# Check if it exists, otherwise assume its a string.
try:
with open(filename, "rt") as fh:
data = fh.read()
except Exception:
try:
data = filename.decode()
except Exception:
data = str(filename)
data = data.strip()
else:
data = filename.read()
if hasattr(data, "decode"):
data = data.decode()
# Create iterator that yields lines.
def lines_iter():
prev_line = -1
while True:
next_line = data.find("\n", prev_line + 1)
if next_line < 0:
break
yield data[prev_line + 1:next_line]
prev_line = next_line
if len(data) > prev_line + 1:
yield data[prev_line + 1:]
# Use one Flinn Engdahl object for all region determinations.
fe = FlinnEngdahl()
cat = Catalog(resource_id=_get_resource_id("catalog", str(uuid.uuid4())))
# Loop over 5 lines at once.
for _i, lines in enumerate(zip_longest(*[lines_iter()] * 5)):
if None in lines:
msg = "Skipped last %i lines. Not a multiple of 5 lines." % (
lines.count(None))
warnings.warn(msg, ObsPyNDKWarning)
continue
# Parse the lines to a human readable dictionary.
try:
record = _read_lines(*lines)
except (ValueError, ObsPyNDKException):
exc = traceback.format_exc()
msg = ("Could not parse event %i (faulty file?). Will be "
"skipped. Lines of the event:\n"
"\t%s\n"
"%s") % (_i + 1, "\n\t".join(lines), exc)
warnings.warn(msg, ObsPyNDKWarning)
continue
# Use one creation info for essentially every item.
creation_info = CreationInfo(agency_id="GCMT",
version=record["version_code"])
# Use the ObsPy Flinn Engdahl region determiner as the region in the
# NDK files is oftentimes trimmed.
region = fe.get_region(record["centroid_longitude"],
record["centroid_latitude"])
# Create an event object.
event = Event(force_resource_id=False,
event_type="earthquake",
event_type_certainty="known",
event_descriptions=[
EventDescription(text=region,
type="Flinn-Engdahl region"),
EventDescription(text=record["cmt_event_name"],
type="earthquake name")
])
# Assemble the time for the reference origin.
try:
time = _parse_date_time(record["date"], record["time"])
except ObsPyNDKException:
msg = ("Invalid time in event %i. '%s' and '%s' cannot be "
"assembled to a valid time. Event will be skipped.") % \
(_i + 1, record["date"], record["time"])
warnings.warn(msg, ObsPyNDKWarning)
continue
# Create two origins, one with the reference latitude/longitude and
# one with the centroidal values.
ref_origin = Origin(
force_resource_id=False,
time=time,
longitude=record["hypo_lng"],
latitude=record["hypo_lat"],
# Convert to m.
depth=record["hypo_depth_in_km"] * 1000.0,
origin_type="hypocenter",
comments=[
Comment(text="Hypocenter catalog: %s" %
record["hypocenter_reference_catalog"],
force_resource_id=False)
])
ref_origin.comments[0].resource_id = _get_resource_id(
record["cmt_event_name"], "comment", tag="ref_origin")
ref_origin.resource_id = _get_resource_id(record["cmt_event_name"],
"origin",
tag="reforigin")
cmt_origin = Origin(
force_resource_id=False,
longitude=record["centroid_longitude"],
longitude_errors={
"uncertainty": record["centroid_longitude_error"]
},
latitude=record["centroid_latitude"],
latitude_errors={"uncertainty": record["centroid_latitude_error"]},
# Convert to m.
depth=record["centroid_depth_in_km"] * 1000.0,
depth_errors={
"uncertainty": record["centroid_depth_in_km_error"] * 1000
},
time=ref_origin["time"] + record["centroid_time"],
time_errors={"uncertainty": record["centroid_time_error"]},
depth_type=record["type_of_centroid_depth"],
origin_type="centroid",
time_fixed=False,
epicenter_fixed=False,
creation_info=creation_info.copy())
cmt_origin.resource_id = _get_resource_id(record["cmt_event_name"],
"origin",
tag="cmtorigin")
event.origins = [ref_origin, cmt_origin]
event.preferred_origin_id = cmt_origin.resource_id.id
# Create the magnitude object.
mag = Magnitude(force_resource_id=False,
mag=round(record["Mw"], 2),
magnitude_type="Mwc",
origin_id=cmt_origin.resource_id,
creation_info=creation_info.copy())
mag.resource_id = _get_resource_id(record["cmt_event_name"],
"magnitude",
tag="moment_mag")
event.magnitudes = [mag]
event.preferred_magnitude_id = mag.resource_id.id
# Add the reported mb, MS magnitudes as additional magnitude objects.
event.magnitudes.append(
Magnitude(
force_resource_id=False,
mag=record["mb"],
magnitude_type="mb",
comments=[
Comment(
force_resource_id=False,
text="Reported magnitude in NDK file. Most likely 'mb'."
)
]))
event.magnitudes[-1].comments[-1].resource_id = _get_resource_id(
record["cmt_event_name"], "comment", tag="mb_magnitude")
event.magnitudes[-1].resource_id = _get_resource_id(
record["cmt_event_name"], "magnitude", tag="mb")
event.magnitudes.append(
Magnitude(
force_resource_id=False,
mag=record["MS"],
magnitude_type="MS",
comments=[
Comment(
force_resource_id=False,
text="Reported magnitude in NDK file. Most likely 'MS'."
)
]))
event.magnitudes[-1].comments[-1].resource_id = _get_resource_id(
record["cmt_event_name"], "comment", tag="MS_magnitude")
event.magnitudes[-1].resource_id = _get_resource_id(
record["cmt_event_name"], "magnitude", tag="MS")
# Take care of the moment tensor.
tensor = Tensor(m_rr=record["m_rr"],
m_rr_errors={"uncertainty": record["m_rr_error"]},
m_pp=record["m_pp"],
m_pp_errors={"uncertainty": record["m_pp_error"]},
m_tt=record["m_tt"],
m_tt_errors={"uncertainty": record["m_tt_error"]},
m_rt=record["m_rt"],
m_rt_errors={"uncertainty": record["m_rt_error"]},
m_rp=record["m_rp"],
m_rp_errors={"uncertainty": record["m_rp_error"]},
m_tp=record["m_tp"],
m_tp_errors={"uncertainty": record["m_tp_error"]},
creation_info=creation_info.copy())
mt = MomentTensor(
force_resource_id=False,
scalar_moment=record["scalar_moment"],
tensor=tensor,
data_used=[DataUsed(**i) for i in record["data_used"]],
inversion_type=record["source_type"],
source_time_function=SourceTimeFunction(
type=record["moment_rate_type"],
duration=record["moment_rate_duration"]),
derived_origin_id=cmt_origin.resource_id,
creation_info=creation_info.copy())
mt.resource_id = _get_resource_id(record["cmt_event_name"],
"momenttensor")
axis = [Axis(**i) for i in record["principal_axis"]]
focmec = FocalMechanism(
force_resource_id=False,
moment_tensor=mt,
principal_axes=PrincipalAxes(
# The ordering is the same as for the IRIS SPUD service and
# from a website of the Saint Louis University Earthquake
# center so it should be correct.
t_axis=axis[0],
p_axis=axis[2],
n_axis=axis[1]),
nodal_planes=NodalPlanes(
nodal_plane_1=NodalPlane(**record["nodal_plane_1"]),
nodal_plane_2=NodalPlane(**record["nodal_plane_2"])),
comments=[
Comment(force_resource_id=False,
text="CMT Analysis Type: %s" %
record["cmt_type"].capitalize()),
Comment(force_resource_id=False,
text="CMT Timestamp: %s" % record["cmt_timestamp"])
],
creation_info=creation_info.copy())
focmec.comments[0].resource_id = _get_resource_id(
record["cmt_event_name"], "comment", tag="cmt_type")
focmec.comments[1].resource_id = _get_resource_id(
record["cmt_event_name"], "comment", tag="cmt_timestamp")
focmec.resource_id = _get_resource_id(record["cmt_event_name"],
"focal_mechanism")
event.focal_mechanisms = [focmec]
event.preferred_focal_mechanism_id = focmec.resource_id.id
# Set at end to avoid duplicate resource id warning.
event.resource_id = _get_resource_id(record["cmt_event_name"], "event")
cat.append(event)
if len(cat) == 0:
msg = "No valid events found in NDK file."
raise ObsPyNDKException(msg)
return cat
def makeCatalog(StazList, mt, scale, args):
epi = args.epi.rsplit()
model = args.model.split(os.sep)
NrSt = len(StazList)
NrCo = NrSt * 3
(Fmin, Fmax) = getFreq(args)
Tmin = ('%.0f' % (1 / Fmax))
Tmax = ('%.0f' % (1 / Fmin))
mo = ('%.3e' % (mt[0]))
mw = ('%.2f' % (mt[1]))
Pdc = ('%.2f' % (float(mt[2]) / 100))
Pclvd = ('%.2f' % (float(mt[3]) / 100))
Tval = ('%10.3e' % (mt[22]))
Tplg = ('%4.1f' % (mt[23]))
Tazi = ('%5.1f' % (mt[24]))
Nval = ('%10.3e' % (mt[25]))
Nplg = ('%4.1f' % (mt[26]))
Nazi = ('%5.1f' % (mt[27]))
Pval = ('%10.3e' % (mt[28]))
Pplg = ('%4.1f' % (mt[29]))
Pazi = ('%5.1f' % (mt[30]))
STp1 = ('%5.1f' % (mt[31]))
DPp1 = ('%4.1f' % (mt[32]))
RAp1 = ('%6.1f' % (mt[33]))
STp2 = ('%5.1f' % (mt[34]))
DPp2 = ('%4.1f' % (mt[35]))
RAp2 = ('%6.1f' % (mt[36]))
var = ('%.2f' % (mt[37]))
qua = ('%d' % (mt[38]))
mij = [mt[4], mt[5], mt[6], mt[7], mt[8], mt[9]]
mm0 = str('%10.3e' % (mij[0]))
mm1 = str('%10.3e' % (mij[1]))
mm2 = str('%10.3e' % (mij[2]))
mm3 = str('%10.3e' % (mij[3]))
mm4 = str('%10.3e' % (mij[4]))
mm5 = str('%10.3e' % (mij[5]))
# Aki konvention
Mrr = mm5
Mtt = mm0
Mff = mm1
Mrt = mm3
Mrf = mm4
Mtf = mm2
# stress regime
A1 = PrincipalAxis(val=mt[22], dip=mt[23], strike=mt[24])
A2 = PrincipalAxis(val=mt[25], dip=mt[26], strike=mt[27])
A3 = PrincipalAxis(val=mt[28], dip=mt[29], strike=mt[30])
(regime, sh) = stressRegime(A1, A2, A3)
sh = ('%5.1f' % (sh))
#### Build classes #################################
#
#Resource Id is the event origin time for definition
res_id = ResourceIdentifier(args.ori)
nowUTC = datetime.datetime.utcnow()
info = CreationInfo(author="pytdmt", version="2.4", creation_time=nowUTC)
evOrigin = Origin(resource_id=res_id,
time=args.ori,
latitude=epi[0],
longitude=epi[1],
depth=epi[2],
earth_model_id=model[-1],
creation_info=info)
# Magnitudes
magnitude = Magnitude(mag=mw, magnitude_type="Mw")
# Nodal Planes
np1 = NodalPlane(strike=STp1, dip=DPp1, rake=RAp1)
np2 = NodalPlane(strike=STp2, dip=DPp2, rake=RAp2)
planes = NodalPlanes(nodal_plane_1=np1, nodal_plane_2=np2)
# Principal axes
Taxe = Axis(azimuth=Tazi, plunge=Tplg, length=Tval)
Naxe = Axis(azimuth=Nazi, plunge=Nplg, length=Nval)
Paxe = Axis(azimuth=Pazi, plunge=Pplg, length=Pval)
axes = PrincipalAxes(t_axis=Taxe, p_axis=Paxe, n_axis=Naxe)
# MT elements
MT = Tensor(m_rr=Mrr, m_tt=Mtt, m_pp=Mff, m_rt=Mrt, m_rp=Mrf, m_tp=Mtf)
# Stress regime
regStr = 'Stress regime: ' + regime + ' - SH = ' + sh
strDes = EventDescription(regStr)
# MT dataset
dataInfo = DataUsed(wave_type="combined",
station_count=NrSt,
component_count=NrCo,
shortest_period=Tmin,
longest_period=Tmax)
source = MomentTensor(data_used=dataInfo,
scalar_moment=mo,
tensor=MT,
variance_reduction=var,
double_couple=Pdc,
clvd=Pclvd,
iso=0)
focMec = FocalMechanism(moment_tensor=source,
nodal_planes=planes,
principal_axes=axes,
azimuthal_gap=-1)
#Initialize Event Catalog
mtSolution = Event(creation_info=info)
mtSolution.origins.append(evOrigin)
mtSolution.magnitudes.append(magnitude)
mtSolution.focal_mechanisms.append(focMec)
mtSolution.event_descriptions.append(strDes)
cat = Catalog()
cat.append(mtSolution)
return cat
def _internal_read_single_cmtsolution(buf):
"""
Reads a single CMTSOLUTION file to a :class:`~obspy.core.event.Catalog`
object.
:param buf: File to read.
:type buf: open file or file-like object
"""
# The first line encodes the preliminary epicenter.
line = buf.readline()
hypocenter_catalog = line[:5].strip().decode()
origin_time = line[5:].strip().split()[:6]
values = list(map(int, origin_time[:-1])) + \
[float(origin_time[-1])]
try:
origin_time = UTCDateTime(*values)
except (TypeError, ValueError):
warnings.warn("Could not determine origin time from line: %s. Will "
"be set to zero." % line)
origin_time = UTCDateTime(0)
line = line[28:].split()
latitude, longitude, depth, body_wave_mag, surface_wave_mag = \
map(float, line[:5])
# The rest encodes the centroid solution.
event_name = buf.readline().strip().split()[-1].decode()
preliminary_origin = Origin(
resource_id=_get_resource_id(event_name, "origin", tag="prelim"),
time=origin_time,
longitude=longitude,
latitude=latitude,
# Depth is in meters.
depth=depth * 1000.0,
origin_type="hypocenter",
region=_fe.get_region(longitude=longitude, latitude=latitude),
evaluation_status="preliminary")
preliminary_bw_magnitude = Magnitude(
resource_id=_get_resource_id(event_name, "magnitude", tag="prelim_bw"),
mag=body_wave_mag,
magnitude_type="Mb",
evaluation_status="preliminary",
origin_id=preliminary_origin.resource_id)
preliminary_sw_magnitude = Magnitude(
resource_id=_get_resource_id(event_name, "magnitude", tag="prelim_sw"),
mag=surface_wave_mag,
magnitude_type="MS",
evaluation_status="preliminary",
origin_id=preliminary_origin.resource_id)
values = [
"time_shift", "half_duration", "latitude", "longitude", "depth",
"m_rr", "m_tt", "m_pp", "m_rt", "m_rp", "m_tp"
]
cmt_values = {
_i: float(buf.readline().strip().split()[-1])
for _i in values
}
# Moment magnitude calculation in dyne * cm.
m_0 = 1.0 / math.sqrt(2.0) * math.sqrt(
cmt_values["m_rr"]**2 + cmt_values["m_tt"]**2 + cmt_values["m_pp"]**2 +
2.0 * cmt_values["m_rt"]**2 + 2.0 * cmt_values["m_rp"]**2 +
2.0 * cmt_values["m_tp"]**2)
m_w = 2.0 / 3.0 * (math.log10(m_0) - 16.1)
# Convert to meters.
cmt_values["depth"] *= 1000.0
# Convert to Newton meter.
values = ["m_rr", "m_tt", "m_pp", "m_rt", "m_rp", "m_tp"]
for value in values:
cmt_values[value] /= 1E7
cmt_origin = Origin(
resource_id=_get_resource_id(event_name, "origin", tag="cmt"),
time=origin_time + cmt_values["time_shift"],
longitude=cmt_values["longitude"],
latitude=cmt_values["latitude"],
depth=cmt_values["depth"],
origin_type="centroid",
# Could rarely be different than the epicentral region.
region=_fe.get_region(longitude=cmt_values["longitude"],
latitude=cmt_values["latitude"])
# No evaluation status as it could be any of several and the file
# format does not provide that information.
)
cmt_mag = Magnitude(
resource_id=_get_resource_id(event_name, "magnitude", tag="mw"),
# Round to 2 digits.
mag=round(m_w, 2),
magnitude_type="mw",
origin_id=cmt_origin.resource_id)
foc_mec = FocalMechanism(
resource_id=_get_resource_id(event_name, "focal_mechanism"),
# The preliminary origin most likely triggered the focal mechanism
# determination.
triggering_origin_id=preliminary_origin.resource_id)
tensor = Tensor(m_rr=cmt_values["m_rr"],
m_pp=cmt_values["m_pp"],
m_tt=cmt_values["m_tt"],
m_rt=cmt_values["m_rt"],
m_rp=cmt_values["m_rp"],
m_tp=cmt_values["m_tp"])
# Source time function is a triangle, according to the SPECFEM manual.
stf = SourceTimeFunction(
type="triangle",
# The duration is twice the half duration.
duration=2.0 * cmt_values["half_duration"])
mt = MomentTensor(
resource_id=_get_resource_id(event_name, "moment_tensor"),
derived_origin_id=cmt_origin.resource_id,
moment_magnitude_id=cmt_mag.resource_id,
# Convert to Nm.
scalar_moment=m_0 / 1E7,
tensor=tensor,
source_time_function=stf)
# Assemble everything.
foc_mec.moment_tensor = mt
ev = Event(resource_id=_get_resource_id(event_name, "event"),
event_type="earthquake")
ev.event_descriptions.append(
EventDescription(text=event_name, type="earthquake name"))
ev.comments.append(
Comment(text="Hypocenter catalog: %s" % hypocenter_catalog,
force_resource_id=False))
ev.origins.append(cmt_origin)
ev.origins.append(preliminary_origin)
ev.magnitudes.append(cmt_mag)
ev.magnitudes.append(preliminary_bw_magnitude)
ev.magnitudes.append(preliminary_sw_magnitude)
ev.focal_mechanisms.append(foc_mec)
# Set the preferred items.
ev.preferred_origin_id = cmt_origin.resource_id.id
ev.preferred_magnitude_id = cmt_mag.resource_id.id
ev.preferred_focal_mechanism_id = foc_mec.resource_id.id
ev.scope_resource_ids()
return ev
def __read_single_fnetmt_entry(line, **kwargs):
"""
Reads a single F-net moment tensor solution to a
:class:`~obspy.core.event.Event` object.
:param line: String containing moment tensor information.
:type line: str.
"""
a = line.split()
try:
ot = UTCDateTime().strptime(a[0], '%Y/%m/%d,%H:%M:%S.%f')
except ValueError:
ot = UTCDateTime().strptime(a[0], '%Y/%m/%d,%H:%M:%S')
lat, lon, depjma, magjma = map(float, a[1:5])
depjma *= 1000
region = a[5]
strike = tuple(map(int, a[6].split(';')))
dip = tuple(map(int, a[7].split(';')))
rake = tuple(map(int, a[8].split(';')))
mo = float(a[9])
depmt = float(a[10]) * 1000
magmt = float(a[11])
var_red = float(a[12])
mxx, mxy, mxz, myy, myz, mzz, unit = map(float, a[13:20])
event_name = util.gen_sc3_id(ot)
e = Event(event_type="earthquake")
e.resource_id = _get_resource_id(event_name, 'event')
# Standard JMA solution
o_jma = Origin(time=ot,
latitude=lat,
longitude=lon,
depth=depjma,
depth_type="from location",
region=region)
o_jma.resource_id = _get_resource_id(event_name, 'origin', 'JMA')
m_jma = Magnitude(mag=magjma,
magnitude_type='ML',
origin_id=o_jma.resource_id)
m_jma.resource_id = _get_resource_id(event_name, 'magnitude', 'JMA')
# MT solution
o_mt = Origin(time=ot,
latitude=lat,
longitude=lon,
depth=depmt,
region=region,
depth_type="from moment tensor inversion")
o_mt.resource_id = _get_resource_id(event_name, 'origin', 'MT')
m_mt = Magnitude(mag=magmt,
magnitude_type='Mw',
origin_id=o_mt.resource_id)
m_mt.resource_id = _get_resource_id(event_name, 'magnitude', 'MT')
foc_mec = FocalMechanism(triggering_origin_id=o_jma.resource_id)
foc_mec.resource_id = _get_resource_id(event_name, "focal_mechanism")
nod1 = NodalPlane(strike=strike[0], dip=dip[0], rake=rake[0])
nod2 = NodalPlane(strike=strike[1], dip=dip[1], rake=rake[1])
nod = NodalPlanes(nodal_plane_1=nod1, nodal_plane_2=nod2)
foc_mec.nodal_planes = nod
tensor = Tensor(m_rr=mxx, m_tt=myy, m_pp=mzz, m_rt=mxy, m_rp=mxz, m_tp=myz)
cm = Comment(text="Basis system: North,East,Down (Jost and \
Herrmann 1989")
cm.resource_id = _get_resource_id(event_name, 'comment', 'mt')
mt = MomentTensor(derived_origin_id=o_mt.resource_id,
moment_magnitude_id=m_mt.resource_id,
scalar_moment=mo,
comments=[cm],
tensor=tensor,
variance_reduction=var_red)
mt.resource_id = _get_resource_id(event_name, 'moment_tensor')
foc_mec.moment_tensor = mt
e.origins = [o_jma, o_mt]
e.magnitudes = [m_jma, m_mt]
e.focal_mechanisms = [foc_mec]
e.preferred_magnitude_id = m_mt.resource_id.id
e.preferred_origin_id = o_mt.resource_id.id
e.preferred_focal_mechanism_id = foc_mec.resource_id.id
return e
def par2quakeml(Par_filename,
QuakeML_filename,
rotation_axis=[0.0, 1.0, 0.0],
rotation_angle=-57.5,
origin_time="2000-01-01 00:00:00.0",
event_type="other event"):
# initialise event
ev = Event()
# open and read Par file
fid = open(Par_filename, 'r')
fid.readline()
fid.readline()
fid.readline()
fid.readline()
lat_old = 90.0 - float(fid.readline().strip().split()[0])
lon_old = float(fid.readline().strip().split()[0])
depth = float(fid.readline().strip().split()[0])
fid.readline()
Mtt_old = float(fid.readline().strip().split()[0])
Mpp_old = float(fid.readline().strip().split()[0])
Mrr_old = float(fid.readline().strip().split()[0])
Mtp_old = float(fid.readline().strip().split()[0])
Mtr_old = float(fid.readline().strip().split()[0])
Mpr_old = float(fid.readline().strip().split()[0])
# rotate event into physical domain
lat, lon = rot.rotate_lat_lon(lat_old, lon_old, rotation_axis,
rotation_angle)
Mrr, Mtt, Mpp, Mtr, Mpr, Mtp = rot.rotate_moment_tensor(
Mrr_old, Mtt_old, Mpp_old, Mtr_old, Mpr_old, Mtp_old, lat_old, lon_old,
rotation_axis, rotation_angle)
# populate event origin data
ev.event_type = event_type
ev_origin = Origin()
ev_origin.time = UTCDateTime(origin_time)
ev_origin.latitude = lat
ev_origin.longitude = lon
ev_origin.depth = depth
ev.origins.append(ev_origin)
# populte event moment tensor
ev_tensor = Tensor()
ev_tensor.m_rr = Mrr
ev_tensor.m_tt = Mtt
ev_tensor.m_pp = Mpp
ev_tensor.m_rt = Mtr
ev_tensor.m_rp = Mpr
ev_tensor.m_tp = Mtp
ev_momenttensor = MomentTensor()
ev_momenttensor.tensor = ev_tensor
ev_momenttensor.scalar_moment = np.sqrt(Mrr**2 + Mtt**2 + Mpp**2 + Mtr**2 +
Mpr**2 + Mtp**2)
ev_focalmechanism = FocalMechanism()
ev_focalmechanism.moment_tensor = ev_momenttensor
ev_focalmechanism.nodal_planes = NodalPlanes().setdefault(0, 0)
ev.focal_mechanisms.append(ev_focalmechanism)
# populate event magnitude
ev_magnitude = Magnitude()
ev_magnitude.mag = 0.667 * (np.log10(ev_momenttensor.scalar_moment) - 9.1)
ev_magnitude.magnitude_type = 'Mw'
ev.magnitudes.append(ev_magnitude)
# write QuakeML file
cat = Catalog()
cat.append(ev)
cat.write(QuakeML_filename, format="quakeml")
# clean up
fid.close()
def full_test_event():
"""
Function to generate a basic, full test event
"""
test_event = Event()
test_event.origins.append(
Origin(time=UTCDateTime("2012-03-26") + 1.2,
latitude=45.0,
longitude=25.0,
depth=15000))
test_event.event_descriptions.append(EventDescription())
test_event.event_descriptions[0].text = 'LE'
test_event.creation_info = CreationInfo(agency_id='TES')
test_event.magnitudes.append(
Magnitude(mag=0.1,
magnitude_type='ML',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[0].resource_id))
test_event.magnitudes.append(
Magnitude(mag=0.5,
magnitude_type='Mc',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[0].resource_id))
test_event.magnitudes.append(
Magnitude(mag=1.3,
magnitude_type='Ms',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[0].resource_id))
# Define the test pick
_waveform_id_1 = WaveformStreamID(station_code='FOZ',
channel_code='SHZ',
network_code='NZ')
_waveform_id_2 = WaveformStreamID(station_code='WTSZ',
channel_code='BH1',
network_code=' ')
# Pick to associate with amplitude
test_event.picks.append(
Pick(waveform_id=_waveform_id_1,
phase_hint='IAML',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"))
# Need a second pick for coda
test_event.picks.append(
Pick(waveform_id=_waveform_id_1,
onset='impulsive',
phase_hint='PN',
polarity='positive',
time=UTCDateTime("2012-03-26") + 1.68,
evaluation_mode="manual"))
# Unassociated pick
test_event.picks.append(
Pick(waveform_id=_waveform_id_2,
onset='impulsive',
phase_hint='SG',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.72,
evaluation_mode="manual"))
# Unassociated pick
test_event.picks.append(
Pick(waveform_id=_waveform_id_2,
onset='impulsive',
phase_hint='PN',
polarity='undecidable',
time=UTCDateTime("2012-03-26") + 1.62,
evaluation_mode="automatic"))
# Test a generic local magnitude amplitude pick
test_event.amplitudes.append(
Amplitude(generic_amplitude=2.0,
period=0.4,
pick_id=test_event.picks[0].resource_id,
waveform_id=test_event.picks[0].waveform_id,
unit='m',
magnitude_hint='ML',
category='point',
type='AML'))
# Test a coda magnitude pick
test_event.amplitudes.append(
Amplitude(generic_amplitude=10,
pick_id=test_event.picks[1].resource_id,
waveform_id=test_event.picks[1].waveform_id,
type='END',
category='duration',
unit='s',
magnitude_hint='Mc',
snr=2.3))
test_event.origins[0].arrivals.append(
Arrival(time_weight=0,
phase=test_event.picks[1].phase_hint,
pick_id=test_event.picks[1].resource_id))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[2].phase_hint,
pick_id=test_event.picks[2].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
test_event.origins[0].arrivals.append(
Arrival(time_weight=2,
phase=test_event.picks[3].phase_hint,
pick_id=test_event.picks[3].resource_id,
backazimuth_residual=5,
time_residual=0.2,
distance=15,
azimuth=25))
# Add in error info (line E)
test_event.origins[0].quality = OriginQuality(standard_error=0.01,
azimuthal_gap=36)
# Origin uncertainty in Seisan is output as long-lat-depth, quakeML has
# semi-major and semi-minor
test_event.origins[0].origin_uncertainty = OriginUncertainty(
confidence_ellipsoid=ConfidenceEllipsoid(
semi_major_axis_length=3000,
semi_minor_axis_length=1000,
semi_intermediate_axis_length=2000,
major_axis_plunge=20,
major_axis_azimuth=100,
major_axis_rotation=4))
test_event.origins[0].time_errors = QuantityError(uncertainty=0.5)
# Add in fault-plane solution info (line F) - Note have to check program
# used to determine which fields are filled....
test_event.focal_mechanisms.append(
FocalMechanism(nodal_planes=NodalPlanes(
nodal_plane_1=NodalPlane(strike=180,
dip=20,
rake=30,
strike_errors=QuantityError(10),
dip_errors=QuantityError(10),
rake_errors=QuantityError(20))),
method_id=ResourceIdentifier(
"smi:nc.anss.org/focalMechanism/FPFIT"),
creation_info=CreationInfo(agency_id="NC"),
misfit=0.5,
station_distribution_ratio=0.8))
# Need to test high-precision origin and that it is preferred origin.
# Moment tensor includes another origin
test_event.origins.append(
Origin(time=UTCDateTime("2012-03-26") + 1.2,
latitude=45.1,
longitude=25.2,
depth=14500))
test_event.magnitudes.append(
Magnitude(mag=0.1,
magnitude_type='MW',
creation_info=CreationInfo('TES'),
origin_id=test_event.origins[-1].resource_id))
# Moment tensors go with focal-mechanisms
test_event.focal_mechanisms.append(
FocalMechanism(moment_tensor=MomentTensor(
derived_origin_id=test_event.origins[-1].resource_id,
moment_magnitude_id=test_event.magnitudes[-1].resource_id,
scalar_moment=100,
tensor=Tensor(
m_rr=100, m_tt=100, m_pp=10, m_rt=1, m_rp=20, m_tp=15),
method_id=ResourceIdentifier(
'smi:nc.anss.org/momentTensor/BLAH'))))
return test_event
def par2quakeml(Par_filename, QuakeML_filename, rotation_axis=[0.0, 1.0, 0.0],
rotation_angle=-57.5, origin_time="2000-01-01 00:00:00.0",
event_type="other event"):
# initialise event
ev = Event()
# open and read Par file
fid = open(Par_filename, 'r')
fid.readline()
fid.readline()
fid.readline()
fid.readline()
lat_old = 90.0 - float(fid.readline().strip().split()[0])
lon_old = float(fid.readline().strip().split()[0])
depth = float(fid.readline().strip().split()[0])
fid.readline()
Mtt_old = float(fid.readline().strip().split()[0])
Mpp_old = float(fid.readline().strip().split()[0])
Mrr_old = float(fid.readline().strip().split()[0])
Mtp_old = float(fid.readline().strip().split()[0])
Mtr_old = float(fid.readline().strip().split()[0])
Mpr_old = float(fid.readline().strip().split()[0])
# rotate event into physical domain
lat, lon = rot.rotate_lat_lon(lat_old, lon_old, rotation_axis,
rotation_angle)
Mrr, Mtt, Mpp, Mtr, Mpr, Mtp = rot.rotate_moment_tensor(
Mrr_old, Mtt_old, Mpp_old, Mtr_old, Mpr_old, Mtp_old, lat_old, lon_old,
rotation_axis, rotation_angle)
# populate event origin data
ev.event_type = event_type
ev_origin = Origin()
ev_origin.time = UTCDateTime(origin_time)
ev_origin.latitude = lat
ev_origin.longitude = lon
ev_origin.depth = depth
ev.origins.append(ev_origin)
# populte event moment tensor
ev_tensor = Tensor()
ev_tensor.m_rr = Mrr
ev_tensor.m_tt = Mtt
ev_tensor.m_pp = Mpp
ev_tensor.m_rt = Mtr
ev_tensor.m_rp = Mpr
ev_tensor.m_tp = Mtp
ev_momenttensor = MomentTensor()
ev_momenttensor.tensor = ev_tensor
ev_momenttensor.scalar_moment = np.sqrt(Mrr ** 2 + Mtt ** 2 + Mpp ** 2 +
Mtr ** 2 + Mpr ** 2 + Mtp ** 2)
ev_focalmechanism = FocalMechanism()
ev_focalmechanism.moment_tensor = ev_momenttensor
ev_focalmechanism.nodal_planes = NodalPlanes().setdefault(0, 0)
ev.focal_mechanisms.append(ev_focalmechanism)
# populate event magnitude
ev_magnitude = Magnitude()
ev_magnitude.mag = 0.667 * (np.log10(ev_momenttensor.scalar_moment) - 9.1)
ev_magnitude.magnitude_type = 'Mw'
ev.magnitudes.append(ev_magnitude)
# write QuakeML file
cat = Catalog()
cat.append(ev)
cat.write(QuakeML_filename, format="quakeml")
# clean up
fid.close()
def _internal_read_single_scardec(buf):
"""
Reads a single SCARDEC file to a :class:`~obspy.core.event.Catalog`
object.
:param buf: File to read.
:type buf: open file or file-like object
"""
# The first line encodes the origin time and epicenter
line = buf.readline()
origin_time = line.strip().split()[:6]
values = list(map(int, origin_time[:-1])) + \
[float(origin_time[-1])]
try:
origin_time = UTCDateTime(*values)
except (TypeError, ValueError):
warnings.warn("Could not determine origin time from line: %s. Will "
"be set to zero." % line)
origin_time = UTCDateTime(0)
line = line.split()[6:]
latitude, longitude = map(float, line[:2])
# The second line encodes depth and the two focal mechanisms
line = buf.readline()
line = line.split()
# First three values are depth, scalar moment (in Nm) and moment magnitude
depth, scalar_moment, moment_mag = map(float, line[0:3])
# depth is in km in SCARDEC files
depth *= 1e3
# Next six values are strike, dip, rake for both planes
strike1, dip1, rake1 = map(float, line[3:6])
strike2, dip2, rake2 = map(float, line[6:9])
# The rest of the file is the moment rate function
# In each line: time (sec), moment rate (Nm/sec)
stf_time = []
stf_mr = []
for line in buf:
stf_time.append(float(line.split()[0]))
stf_mr.append(float(line.split()[1]))
# Normalize the source time function
stf_mr = np.array(stf_mr)
stf_mr /= scalar_moment
# Calculate the time step
dt = np.mean(np.diff(stf_time))
# Calculate the stf offset (time of first sample wrt to origin time)
offset = stf_time[0]
# event name is set to generic value for now
event_name = 'SCARDEC_event'
cmt_origin = Origin(resource_id=_get_resource_id(event_name,
"origin",
tag="cmt"),
time=origin_time,
longitude=longitude,
latitude=latitude,
depth=depth,
origin_type="centroid",
region=_fe.get_region(longitude=longitude,
latitude=latitude))
cmt_mag = Magnitude(resource_id=_get_resource_id(event_name,
"magnitude",
tag="mw"),
mag=moment_mag,
magnitude_type="mw",
origin_id=cmt_origin.resource_id)
nod1 = NodalPlane(strike=strike1, dip=dip1, rake=rake1)
nod2 = NodalPlane(strike=strike2, dip=dip2, rake=rake2)
nod = NodalPlanes(nodal_plane_1=nod1, nodal_plane_2=nod2)
foc_mec = FocalMechanism(resource_id=_get_resource_id(
event_name, "focal_mechanism"),
nodal_planes=nod)
dip1 *= np.pi / 180.
rake1 *= np.pi / 180.
strike1 *= np.pi / 180.
mxx = -scalar_moment * (
(np.sin(dip1) * np.cos(rake1) * np.sin(2 * strike1)) +
(np.sin(2 * dip1) * np.sin(rake1) * np.sin(2 * strike1)))
mxy = scalar_moment * (
(np.sin(dip1) * np.cos(rake1) * np.cos(2 * strike1)) +
(np.sin(2 * dip1) * np.sin(rake1) * np.sin(2 * strike1) * 0.5))
myy = scalar_moment * (
(np.sin(dip1) * np.cos(rake1) * np.sin(2 * strike1)) -
(np.sin(2 * dip1) * np.sin(rake1) * np.cos(2 * strike1)))
mxz = -scalar_moment * (
(np.cos(dip1) * np.cos(rake1) * np.cos(strike1)) +
(np.cos(2 * dip1) * np.sin(rake1) * np.sin(strike1)))
myz = -scalar_moment * (
(np.cos(dip1) * np.cos(rake1) * np.sin(strike1)) -
(np.cos(2 * dip1) * np.sin(rake1) * np.cos(strike1)))
mzz = scalar_moment * (np.sin(2 * dip1) * np.sin(rake1))
tensor = Tensor(m_rr=mxx, m_tt=myy, m_pp=mzz, m_rt=mxy, m_rp=mxz, m_tp=myz)
cm = [
Comment(text="Basis system: North,East,Down \
(Jost and Herrmann 1989)")
]
cm[0].resource_id = _get_resource_id(event_name, 'comment', 'mt')
cm.append(
Comment(text="MT derived from focal mechanism, therefore \
constrained to pure double couple.",
force_resource_id=False))
# Write moment rate function
extra = {
'moment_rate': {
'value': stf_mr,
'namespace': r"http://test.org/xmlns/0.1"
},
'dt': {
'value': dt,
'namespace': r"http://test.org/xmlns/0.1"
},
'offset': {
'value': offset,
'namespace': r"http://test.org/xmlns/0.1"
}
}
# Source time function
stf = SourceTimeFunction(type="unknown")
stf.extra = extra
mt = MomentTensor(resource_id=_get_resource_id(event_name,
"moment_tensor"),
derived_origin_id=cmt_origin.resource_id,
moment_magnitude_id=cmt_mag.resource_id,
scalar_moment=scalar_moment,
tensor=tensor,
source_time_function=stf,
comments=cm)
# Assemble everything.
foc_mec.moment_tensor = mt
ev = Event(resource_id=_get_resource_id(event_name, "event"),
event_type="earthquake")
ev.event_descriptions.append(
EventDescription(text=event_name, type="earthquake name"))
ev.comments.append(
Comment(text="Hypocenter catalog: SCARDEC", force_resource_id=False))
ev.origins.append(cmt_origin)
ev.magnitudes.append(cmt_mag)
ev.focal_mechanisms.append(foc_mec)
# Set the preferred items.
ev.preferred_origin_id = cmt_origin.resource_id.id
ev.preferred_magnitude_id = cmt_mag.resource_id.id
ev.preferred_focal_mechanism_id = foc_mec.resource_id.id
ev.scope_resource_ids()
return ev
