def _map_fplane2focalmech(self, db): """ Return an obspy FocalMechanism from an dict of CSS key/values corresponding to one record. See the 'Join' section for the implied database join expected. Inputs ====== db : dict of key/values of CSS fields from the 'fplane' table Returns ======= obspy.core.event.FocalMechanism Notes ===== Any object that supports the dict 'get' method can be passed as input, e.g. OrderedDict, custom classes, etc. """ # # NOTE: Antelope schema for this is wrong, no nulls defined # fm = FocalMechanism() nps = NodalPlanes() nps.nodal_plane_1 = NodalPlane(db.get('str1'), db.get('dip1'), db.get('rake1')) nps.nodal_plane_2 = NodalPlane(db.get('str2'), db.get('dip2'), db.get('rake2')) nps.preferred_plane = 1 prin_ax = PrincipalAxes() prin_ax.t_axis = Axis(db.get('taxazm'),db.get('taxplg')) prin_ax.p_axis = Axis(db.get('paxazm'),db.get('paxplg')) fm.nodal_planes = nps fm.principal_axes = prin_ax author_string = ':'.join([db['algorithm'], db['auth']]) fm.creation_info = CreationInfo( version = db.get('mechid'), creation_time = UTCDateTime(db['lddate']), agency_id = self.agency, author = author_string, ) fm.resource_id = self._rid(fm) return fm
def __toFocalMechanism(parser, focmec_el): """ """ global CURRENT_TYPE focmec = FocalMechanism() focmec.resource_id = ResourceIdentifier( prefix="/".join([RESOURCE_ROOT, "focal_mechanism"])) if CURRENT_TYPE == "obspyck": focmec.method_id = "%s/focal_mechanism_method/focmec/1" % RESOURCE_ROOT else: focmec.method_id = "%s/focal_mechanism_method/%s/1" % ( RESOURCE_ROOT, parser.xpath2obj('program', focmec_el)) if str(focmec.method_id).lower().endswith("none"): focmec.method_id = None focmec.station_polarity_count = parser.xpath2obj("stationPolarityCount", focmec_el, int) if focmec.station_polarity_count: focmec.misfit = parser.xpath2obj("stationPolarityErrorCount", focmec_el, int) / float( focmec.station_polarity_count) focmec.nodal_planes = NodalPlanes() focmec.nodal_planes.nodal_plane_1 = NodalPlane() nodal_plane = focmec_el.find("nodalPlanes") if nodal_plane is None or not len(nodal_plane): return None n_p = focmec.nodal_planes.nodal_plane_1 # There is always only one nodal plane, called nodalPlane1 n_p.strike, strike_uncertainty = __toFloatQuantity( parser, focmec_el, "nodalPlanes/nodalPlane1/strike") n_p.dip, dip_uncertainty = __toFloatQuantity( parser, focmec_el, "nodalPlanes/nodalPlane1/dip") n_p.rake, rake_uncertainty = __toFloatQuantity( parser, focmec_el, "nodalPlanes/nodalPlane1/rake") if hasattr(strike_uncertainty, "uncertainty"): n_p.strike_errors.uncertainty = strike_uncertainty["uncertainty"] if hasattr(dip_uncertainty, "uncertainty"): n_p.dip_errors.uncertainty = dip_uncertainty["uncertainty"] if hasattr(rake_uncertainty, "uncertainty"): n_p.rake_errors.uncertainty = rake_uncertainty["uncertainty"] solution_count = parser.xpath2obj("possibleSolutionCount", focmec_el, int) if solution_count: focmec.comments.append( Comment(force_resource_id=False, resource_id=None, text="Possible Solution Count: %i" % solution_count)) return focmec
def __toFocalMechanism(parser, focmec_el): """ """ global CURRENT_TYPE focmec = FocalMechanism() focmec.resource_id = ResourceIdentifier(prefix="/".join([RESOURCE_ROOT, "focal_mechanism"])) if CURRENT_TYPE == "obspyck": focmec.method_id = "%s/focal_mechanism_method/focmec/1" % RESOURCE_ROOT else: focmec.method_id = "%s/focal_mechanism_method/%s/1" % (RESOURCE_ROOT, parser.xpath2obj('program', focmec_el)) if str(focmec.method_id).lower().endswith("none"): focmec.method_id = None focmec.station_polarity_count = parser.xpath2obj("stationPolarityCount", focmec_el, int) if focmec.station_polarity_count: focmec.misfit = parser.xpath2obj("stationPolarityErrorCount", focmec_el, int) / float(focmec.station_polarity_count) focmec.nodal_planes = NodalPlanes() focmec.nodal_planes.nodal_plane_1 = NodalPlane() nodal_plane = focmec_el.find("nodalPlanes") if nodal_plane is None or not len(nodal_plane): return None n_p = focmec.nodal_planes.nodal_plane_1 # There is always only one nodal plane, called nodalPlane1 n_p.strike, strike_uncertainty = __toFloatQuantity(parser, focmec_el, "nodalPlanes/nodalPlane1/strike") n_p.dip, dip_uncertainty = __toFloatQuantity(parser, focmec_el, "nodalPlanes/nodalPlane1/dip") n_p.rake, rake_uncertainty = __toFloatQuantity(parser, focmec_el, "nodalPlanes/nodalPlane1/rake") if hasattr(strike_uncertainty, "uncertainty"): n_p.strike_errors.uncertainty = strike_uncertainty["uncertainty"] if hasattr(dip_uncertainty, "uncertainty"): n_p.dip_errors.uncertainty = dip_uncertainty["uncertainty"] if hasattr(rake_uncertainty, "uncertainty"): n_p.rake_errors.uncertainty = rake_uncertainty["uncertainty"] solution_count = parser.xpath2obj("possibleSolutionCount", focmec_el, int) if solution_count: focmec.comments.append(Comment( force_resource_id=False, resource_id=None, text="Possible Solution Count: %i" % solution_count)) return focmec
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 _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: try: data = filename.decode() except: 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(itertools.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 _parseRecordDp(self, line, event): """ Parses the 'source parameter data - primary' record Dp """ source_contributor = line[2:6].strip() computation_type = line[6] exponent = self._intZero(line[7]) scale = math.pow(10, exponent) centroid_origin_time = line[8:14] + '.' + line[14] orig_time_stderr = line[15:17] if orig_time_stderr == 'FX': orig_time_stderr = 'Fixed' else: orig_time_stderr =\ self._floatWithFormat(orig_time_stderr, '2.1', scale) centroid_latitude = self._floatWithFormat(line[17:21], '4.2') lat_type = line[21] if centroid_latitude is not None: centroid_latitude *= self._coordinateSign(lat_type) lat_stderr = line[22:25] if lat_stderr == 'FX': lat_stderr = 'Fixed' else: lat_stderr = self._floatWithFormat(lat_stderr, '3.2', scale) centroid_longitude = self._floatWithFormat(line[25:30], '5.2') lon_type = line[30] if centroid_longitude is not None: centroid_longitude *= self._coordinateSign(lon_type) lon_stderr = line[31:34] if lon_stderr == 'FX': lon_stderr = 'Fixed' else: lon_stderr = self._floatWithFormat(lon_stderr, '3.2', scale) centroid_depth = self._floatWithFormat(line[34:38], '4.1') depth_stderr = line[38:40] if depth_stderr == 'FX' or depth_stderr == 'BD': depth_stderr = 'Fixed' else: depth_stderr = self._floatWithFormat(depth_stderr, '2.1', scale) station_number = self._intZero(line[40:43]) component_number = self._intZero(line[43:46]) station_number2 = self._intZero(line[46:48]) component_number2 = self._intZero(line[48:51]) #unused: half_duration = self._floatWithFormat(line[51:54], '3.1') moment = self._floatWithFormat(line[54:56], '2.1') moment_stderr = self._floatWithFormat(line[56:58], '2.1') moment_exponent = self._int(line[58:60]) if (moment is not None) and (moment_exponent is not None): moment *= math.pow(10, moment_exponent) if (moment_stderr is not None) and (moment_exponent is not None): moment_stderr *= math.pow(10, moment_exponent) evid = event.resource_id.id.split('/')[-1] #Create a new origin only if centroid time is defined: origin = None if centroid_origin_time.strip() != '.': origin = Origin() res_id = '/'.join( (res_id_prefix, 'origin', evid, source_contributor.lower(), 'mw' + computation_type.lower())) origin.resource_id = ResourceIdentifier(id=res_id) origin.creation_info =\ CreationInfo(agency_id=source_contributor) date = event.origins[0].time.strftime('%Y%m%d') origin.time = UTCDateTime(date + centroid_origin_time) #Check if centroid time is on the next day: if origin.time < event.origins[0].time: origin.time += timedelta(days=1) self._storeUncertainty(origin.time_errors, orig_time_stderr) origin.latitude = centroid_latitude origin.longitude = centroid_longitude origin.depth = centroid_depth * 1000 if lat_stderr == 'Fixed' and lon_stderr == 'Fixed': origin.epicenter_fixed = True else: self._storeUncertainty(origin.latitude_errors, self._latErrToDeg(lat_stderr)) self._storeUncertainty( origin.longitude_errors, self._lonErrToDeg(lon_stderr, origin.latitude)) if depth_stderr == 'Fixed': origin.depth_type = 'operator assigned' else: origin.depth_type = 'from location' self._storeUncertainty(origin.depth_errors, depth_stderr, scale=1000) quality = OriginQuality() quality.used_station_count =\ station_number + station_number2 quality.used_phase_count =\ component_number + component_number2 origin.quality = quality origin.type = 'centroid' event.origins.append(origin) focal_mechanism = FocalMechanism() res_id = '/'.join( (res_id_prefix, 'focalmechanism', evid, source_contributor.lower(), 'mw' + computation_type.lower())) focal_mechanism.resource_id = ResourceIdentifier(id=res_id) focal_mechanism.creation_info =\ CreationInfo(agency_id=source_contributor) moment_tensor = MomentTensor() if origin is not None: moment_tensor.derived_origin_id = origin.resource_id else: #this is required for QuakeML validation: res_id = '/'.join((res_id_prefix, 'no-origin')) moment_tensor.derived_origin_id =\ ResourceIdentifier(id=res_id) for mag in event.magnitudes: if mag.creation_info.agency_id == source_contributor: moment_tensor.moment_magnitude_id = mag.resource_id res_id = '/'.join( (res_id_prefix, 'momenttensor', evid, source_contributor.lower(), 'mw' + computation_type.lower())) moment_tensor.resource_id = ResourceIdentifier(id=res_id) moment_tensor.scalar_moment = moment self._storeUncertainty(moment_tensor.scalar_moment_errors, moment_stderr) data_used = DataUsed() data_used.station_count = station_number + station_number2 data_used.component_count = component_number + component_number2 if computation_type == 'C': res_id = '/'.join((res_id_prefix, 'methodID=CMT')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) #CMT algorithm uses long-period body waves, #very-long-period surface waves and #intermediate period surface waves (since 2004 #for shallow and intermediate-depth earthquakes # --Ekstrom et al., 2012) data_used.wave_type = 'combined' if computation_type == 'M': res_id = '/'.join((res_id_prefix, 'methodID=moment_tensor')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) #FIXME: not sure which kind of data is used by #"moment tensor" algorithm. data_used.wave_type = 'unknown' elif computation_type == 'B': res_id = '/'.join((res_id_prefix, 'methodID=broadband_data')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) #FIXME: is 'combined' correct here? data_used.wave_type = 'combined' elif computation_type == 'F': res_id = '/'.join((res_id_prefix, 'methodID=P-wave_first_motion')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) data_used.wave_type = 'P waves' elif computation_type == 'S': res_id = '/'.join((res_id_prefix, 'methodID=scalar_moment')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) #FIXME: not sure which kind of data is used #for scalar moment determination. data_used.wave_type = 'unknown' moment_tensor.data_used = data_used focal_mechanism.moment_tensor = moment_tensor event.focal_mechanisms.append(focal_mechanism) return focal_mechanism
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 outputOBSPY(hp, event=None, only_fm_picks=False): """ Make an Event which includes the current focal mechanism information from HASH Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism. This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones. Inputs ------- hp : hashpy.HashPype instance event : obspy.core.event.Event only_fm_picks : bool of whether to overwrite the picks/arrivals lists Returns ------- obspy.core.event.Event Event will be new if no event was input, FocalMech added to existing event """ # Returns new (or updates existing) Event with HASH solution n = hp.npol if event is None: event = Event(focal_mechanisms=[], picks=[], origins=[]) origin = Origin(arrivals=[]) origin.time = UTCDateTime(hp.tstamp) origin.latitude = hp.qlat origin.longitude = hp.qlon origin.depth = hp.qdep origin.creation_info = CreationInfo(version=hp.icusp) origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format( hp.icusp)) for _i in range(n): p = Pick() p.creation_info = CreationInfo(version=hp.arid[_i]) p.resource_id = ResourceIdentifier('smi:nsl/Pick/{0}'.format( p.creation_info.version)) p.waveform_id = WaveformStreamID(network_code=hp.snet[_i], station_code=hp.sname[_i], channel_code=hp.scomp[_i]) if hp.p_pol[_i] > 0: p.polarity = 'positive' else: p.polarity = 'negative' a = Arrival() a.creation_info = CreationInfo(version=hp.arid[_i]) a.resource_id = ResourceIdentifier('smi:nsl/Arrival/{0}'.format( p.creation_info.version)) a.azimuth = hp.p_azi_mc[_i, 0] a.takeoff_angle = 180. - hp.p_the_mc[_i, 0] a.pick_id = p.resource_id origin.arrivals.append(a) event.picks.append(p) event.origins.append(origin) event.preferred_origin_id = origin.resource_id.resource_id else: # just update the changes origin = event.preferred_origin() picks = [] arrivals = [] for _i in range(n): ind = hp.p_index[_i] a = origin.arrivals[ind] p = a.pick_id.getReferredObject() a.takeoff_angle = hp.p_the_mc[_i, 0] picks.append(p) arrivals.append(a) if only_fm_picks: origin.arrivals = arrivals event.picks = picks # Use me double couple calculator and populate planes/axes etc x = hp._best_quality_index # Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred for s in range(hp.nmult): dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]]) ax = dc.axis focal_mech = FocalMechanism() focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(), author=hp.author) focal_mech.triggering_origin_id = origin.resource_id focal_mech.resource_id = ResourceIdentifier( 'smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s + 1)) focal_mech.method_id = ResourceIdentifier('HASH') focal_mech.nodal_planes = NodalPlanes() focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1) focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2) focal_mech.principal_axes = PrincipalAxes() focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'], plunge=ax['T']['dip']) focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'], plunge=ax['P']['dip']) focal_mech.station_polarity_count = n focal_mech.azimuthal_gap = hp.magap focal_mech.misfit = hp.mfrac[s] focal_mech.station_distribution_ratio = hp.stdr[s] focal_mech.comments.append( Comment( hp.qual[s], resource_id=ResourceIdentifier( focal_mech.resource_id.resource_id + '/comment/quality'))) #---------------------------------------- event.focal_mechanisms.append(focal_mech) if s == x: event.preferred_focal_mechanism_id = focal_mech.resource_id.resource_id return event
def _parse_record_dp(self, line, event): """ Parses the 'source parameter data - primary' record Dp """ source_contributor = line[2:6].strip() computation_type = line[6] exponent = self._int_zero(line[7]) scale = math.pow(10, exponent) centroid_origin_time = line[8:14] + '.' + line[14] orig_time_stderr = line[15:17] if orig_time_stderr == 'FX': orig_time_stderr = 'Fixed' else: orig_time_stderr = \ self._float_with_format(orig_time_stderr, '2.1', scale) centroid_latitude = self._float_with_format(line[17:21], '4.2') lat_type = line[21] if centroid_latitude is not None: centroid_latitude *= self._coordinate_sign(lat_type) lat_stderr = line[22:25] if lat_stderr == 'FX': lat_stderr = 'Fixed' else: lat_stderr = self._float_with_format(lat_stderr, '3.2', scale) centroid_longitude = self._float_with_format(line[25:30], '5.2') lon_type = line[30] if centroid_longitude is not None: centroid_longitude *= self._coordinate_sign(lon_type) lon_stderr = line[31:34] if lon_stderr == 'FX': lon_stderr = 'Fixed' else: lon_stderr = self._float_with_format(lon_stderr, '3.2', scale) centroid_depth = self._float_with_format(line[34:38], '4.1') depth_stderr = line[38:40] if depth_stderr == 'FX' or depth_stderr == 'BD': depth_stderr = 'Fixed' else: depth_stderr = self._float_with_format(depth_stderr, '2.1', scale) station_number = self._int_zero(line[40:43]) component_number = self._int_zero(line[43:46]) station_number2 = self._int_zero(line[46:48]) component_number2 = self._int_zero(line[48:51]) # unused: half_duration = self._float_with_format(line[51:54], '3.1') moment = self._float_with_format(line[54:56], '2.1') moment_stderr = self._float_with_format(line[56:58], '2.1') moment_exponent = self._int(line[58:60]) if (moment is not None) and (moment_exponent is not None): moment *= math.pow(10, moment_exponent) if (moment_stderr is not None) and (moment_exponent is not None): moment_stderr *= math.pow(10, moment_exponent) evid = event.resource_id.id.split('/')[-1] # Create a new origin only if centroid time is defined: origin = None if centroid_origin_time.strip() != '.': origin = Origin() res_id = '/'.join((res_id_prefix, 'origin', evid, source_contributor.lower(), 'mw' + computation_type.lower())) origin.resource_id = ResourceIdentifier(id=res_id) origin.creation_info = \ CreationInfo(agency_id=source_contributor) date = event.origins[0].time.strftime('%Y%m%d') origin.time = UTCDateTime(date + centroid_origin_time) # Check if centroid time is on the next day: if origin.time < event.origins[0].time: origin.time += timedelta(days=1) self._store_uncertainty(origin.time_errors, orig_time_stderr) origin.latitude = centroid_latitude origin.longitude = centroid_longitude origin.depth = centroid_depth * 1000 if lat_stderr == 'Fixed' and lon_stderr == 'Fixed': origin.epicenter_fixed = True else: self._store_uncertainty(origin.latitude_errors, self._lat_err_to_deg(lat_stderr)) self._store_uncertainty(origin.longitude_errors, self._lon_err_to_deg(lon_stderr, origin.latitude)) if depth_stderr == 'Fixed': origin.depth_type = 'operator assigned' else: origin.depth_type = 'from location' self._store_uncertainty(origin.depth_errors, depth_stderr, scale=1000) quality = OriginQuality() quality.used_station_count = \ station_number + station_number2 quality.used_phase_count = \ component_number + component_number2 origin.quality = quality origin.origin_type = 'centroid' event.origins.append(origin) focal_mechanism = FocalMechanism() res_id = '/'.join((res_id_prefix, 'focalmechanism', evid, source_contributor.lower(), 'mw' + computation_type.lower())) focal_mechanism.resource_id = ResourceIdentifier(id=res_id) focal_mechanism.creation_info = \ CreationInfo(agency_id=source_contributor) moment_tensor = MomentTensor() if origin is not None: moment_tensor.derived_origin_id = origin.resource_id else: # this is required for QuakeML validation: res_id = '/'.join((res_id_prefix, 'no-origin')) moment_tensor.derived_origin_id = \ ResourceIdentifier(id=res_id) for mag in event.magnitudes: if mag.creation_info.agency_id == source_contributor: moment_tensor.moment_magnitude_id = mag.resource_id res_id = '/'.join((res_id_prefix, 'momenttensor', evid, source_contributor.lower(), 'mw' + computation_type.lower())) moment_tensor.resource_id = ResourceIdentifier(id=res_id) moment_tensor.scalar_moment = moment self._store_uncertainty(moment_tensor.scalar_moment_errors, moment_stderr) data_used = DataUsed() data_used.station_count = station_number + station_number2 data_used.component_count = component_number + component_number2 if computation_type == 'C': res_id = '/'.join((res_id_prefix, 'methodID=CMT')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # CMT algorithm uses long-period body waves, # very-long-period surface waves and # intermediate period surface waves (since 2004 # for shallow and intermediate-depth earthquakes # --Ekstrom et al., 2012) data_used.wave_type = 'combined' if computation_type == 'M': res_id = '/'.join((res_id_prefix, 'methodID=moment_tensor')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # FIXME: not sure which kind of data is used by # "moment tensor" algorithm. data_used.wave_type = 'unknown' elif computation_type == 'B': res_id = '/'.join((res_id_prefix, 'methodID=broadband_data')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # FIXME: is 'combined' correct here? data_used.wave_type = 'combined' elif computation_type == 'F': res_id = '/'.join((res_id_prefix, 'methodID=P-wave_first_motion')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) data_used.wave_type = 'P waves' elif computation_type == 'S': res_id = '/'.join((res_id_prefix, 'methodID=scalar_moment')) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # FIXME: not sure which kind of data is used # for scalar moment determination. data_used.wave_type = 'unknown' moment_tensor.data_used = [data_used] focal_mechanism.moment_tensor = moment_tensor event.focal_mechanisms.append(focal_mechanism) return focal_mechanism
def outputOBSPY(hp, event=None, only_fm_picks=False): """ Make an Event which includes the current focal mechanism information from HASH Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism. This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones. Inputs ------- hp : hashpy.HashPype instance event : obspy.core.event.Event only_fm_picks : bool of whether to overwrite the picks/arrivals lists Returns ------- obspy.core.event.Event Event will be new if no event was input, FocalMech added to existing event """ # Returns new (or updates existing) Event with HASH solution n = hp.npol if event is None: event = Event(focal_mechanisms=[], picks=[], origins=[]) origin = Origin(arrivals=[]) origin.time = UTCDateTime(hp.tstamp) origin.latitude = hp.qlat origin.longitude = hp.qlon origin.depth = hp.qdep origin.creation_info = CreationInfo(version=hp.icusp) origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format(hp.icusp)) for _i in range(n): p = Pick() p.creation_info = CreationInfo(version=hp.arid[_i]) p.resource_id = ResourceIdentifier('smi:hash/Pick/{0}'.format(p.creation_info.version)) p.waveform_id = WaveformStreamID(network_code=hp.snet[_i], station_code=hp.sname[_i], channel_code=hp.scomp[_i]) if hp.p_pol[_i] > 0: p.polarity = 'positive' else: p.polarity = 'negative' a = Arrival() a.creation_info = CreationInfo(version=hp.arid[_i]) a.resource_id = ResourceIdentifier('smi:hash/Arrival/{0}'.format(p.creation_info.version)) a.azimuth = hp.p_azi_mc[_i,0] a.takeoff_angle = 180. - hp.p_the_mc[_i,0] a.pick_id = p.resource_id origin.arrivals.append(a) event.picks.append(p) event.origins.append(origin) event.preferred_origin_id = str(origin.resource_id) else: # just update the changes origin = event.preferred_origin() picks = [] arrivals = [] for _i in range(n): ind = hp.p_index[_i] a = origin.arrivals[ind] p = a.pick_id.getReferredObject() a.takeoff_angle = hp.p_the_mc[_i,0] picks.append(p) arrivals.append(a) if only_fm_picks: origin.arrivals = arrivals event.picks = picks # Use me double couple calculator and populate planes/axes etc x = hp._best_quality_index # Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred for s in range(hp.nmult): dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]]) ax = dc.axis focal_mech = FocalMechanism() focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(), author=hp.author) focal_mech.triggering_origin_id = origin.resource_id focal_mech.resource_id = ResourceIdentifier('smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s+1)) focal_mech.method_id = ResourceIdentifier('HASH') focal_mech.nodal_planes = NodalPlanes() focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1) focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2) focal_mech.principal_axes = PrincipalAxes() focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'], plunge=ax['T']['dip']) focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'], plunge=ax['P']['dip']) focal_mech.station_polarity_count = n focal_mech.azimuthal_gap = hp.magap focal_mech.misfit = hp.mfrac[s] focal_mech.station_distribution_ratio = hp.stdr[s] focal_mech.comments.append( Comment(hp.qual[s], resource_id=ResourceIdentifier(str(focal_mech.resource_id) + '/comment/quality')) ) #---------------------------------------- event.focal_mechanisms.append(focal_mech) if s == x: event.preferred_focal_mechanism_id = str(focal_mech.resource_id) return event
def build(self): """ Build an obspy moment tensor focal mech event This makes the tensor output into an Event containing: 1) a FocalMechanism with a MomentTensor, NodalPlanes, and PrincipalAxes 2) a Magnitude of the Mw from the Tensor Which is what we want for outputting QuakeML using the (slightly modified) obspy code. Input ----- filehandle => open file OR str from filehandle.read() Output ------ event => instance of Event() class as described above """ p = self.parser event = Event(event_type='earthquake') origin = Origin() focal_mech = FocalMechanism() nodal_planes = NodalPlanes() moment_tensor = MomentTensor() principal_ax = PrincipalAxes() magnitude = Magnitude() data_used = DataUsed() creation_info = CreationInfo(agency_id='NN') ev_mode = 'automatic' ev_stat = 'preliminary' evid = None orid = None # Parse the entire file line by line. for n,l in enumerate(p.line): if 'REVIEWED BY NSL STAFF' in l: ev_mode = 'manual' ev_stat = 'reviewed' if 'Event ID' in l: evid = p._id(n) if 'Origin ID' in l: orid = p._id(n) if 'Ichinose' in l: moment_tensor.category = 'regional' if re.match(r'^\d{4}\/\d{2}\/\d{2}', l): ev = p._event_info(n) if 'Depth' in l: derived_depth = p._depth(n) if 'Mw' in l: magnitude.mag = p._mw(n) magnitude.magnitude_type = 'Mw' if 'Mo' in l and 'dyne' in l: moment_tensor.scalar_moment = p._mo(n) if 'Percent Double Couple' in l: moment_tensor.double_couple = p._percent(n) if 'Percent CLVD' in l: moment_tensor.clvd = p._percent(n) if 'Epsilon' in l: moment_tensor.variance = p._epsilon(n) if 'Percent Variance Reduction' in l: moment_tensor.variance_reduction = p._percent(n) if 'Major Double Couple' in l and 'strike' in p.line[n+1]: np = p._double_couple(n) nodal_planes.nodal_plane_1 = NodalPlane(*np[0]) nodal_planes.nodal_plane_2 = NodalPlane(*np[1]) nodal_planes.preferred_plane = 1 if 'Spherical Coordinates' in l: mt = p._mt_sphere(n) moment_tensor.tensor = Tensor( m_rr = mt['Mrr'], m_tt = mt['Mtt'], m_pp = mt['Mff'], m_rt = mt['Mrt'], m_rp = mt['Mrf'], m_tp = mt['Mtf'], ) if 'Eigenvalues and eigenvectors of the Major Double Couple' in l: ax = p._vectors(n) principal_ax.t_axis = Axis(ax['T']['trend'], ax['T']['plunge'], ax['T']['ev']) principal_ax.p_axis = Axis(ax['P']['trend'], ax['P']['plunge'], ax['P']['ev']) principal_ax.n_axis = Axis(ax['N']['trend'], ax['N']['plunge'], ax['N']['ev']) if 'Number of Stations' in l: data_used.station_count = p._number_of_stations(n) if 'Maximum' in l and 'Gap' in l: focal_mech.azimuthal_gap = p._gap(n) if re.match(r'^Date', l): creation_info.creation_time = p._creation_time(n) # Creation Time creation_info.version = orid # Fill in magnitude values magnitude.evaluation_mode = ev_mode magnitude.evaluation_status = ev_stat magnitude.creation_info = creation_info.copy() magnitude.resource_id = self._rid(magnitude) # Stub origin origin.time = ev.get('time') origin.latitude = ev.get('lat') origin.longitude = ev.get('lon') origin.depth = derived_depth * 1000. origin.depth_type = "from moment tensor inversion" origin.creation_info = creation_info.copy() # Unique from true origin ID _oid = self._rid(origin) origin.resource_id = ResourceIdentifier(str(_oid) + '/mt') del _oid # Make an id for the MT that references this origin ogid = str(origin.resource_id) doid = ResourceIdentifier(ogid, referred_object=origin) # Make an id for the moment tensor mag which references this mag mrid = str(magnitude.resource_id) mmid = ResourceIdentifier(mrid, referred_object=magnitude) # MT todo: could check/use URL for RID if parsing the php file moment_tensor.evaluation_mode = ev_mode moment_tensor.evaluation_status = ev_stat moment_tensor.data_used = data_used moment_tensor.moment_magnitude_id = mmid moment_tensor.derived_origin_id = doid moment_tensor.creation_info = creation_info.copy() moment_tensor.resource_id = self._rid(moment_tensor) # Fill in focal_mech values focal_mech.nodal_planes = nodal_planes focal_mech.moment_tensor = moment_tensor focal_mech.principal_axes = principal_ax focal_mech.creation_info = creation_info.copy() focal_mech.resource_id = self._rid(focal_mech) # add mech and new magnitude to event event.focal_mechanisms = [focal_mech] event.magnitudes = [magnitude] event.origins = [origin] event.creation_info = creation_info.copy() # If an MT was done, that's the preferred mag/mech event.preferred_magnitude_id = str(magnitude.resource_id) event.preferred_focal_mechanism_id = str(focal_mech.resource_id) if evid: event.creation_info.version = evid event.resource_id = self._rid(event) self.event = event
def _parseRecordDp(self, line, event): """ Parses the 'source parameter data - primary' record Dp """ source_contributor = line[2:6].strip() computation_type = line[6] exponent = self._intZero(line[7]) scale = math.pow(10, exponent) centroid_origin_time = line[8:14] + "." + line[14] orig_time_stderr = line[15:17] if orig_time_stderr == "FX": orig_time_stderr = "Fixed" else: orig_time_stderr = self._floatWithFormat(orig_time_stderr, "2.1", scale) centroid_latitude = self._floatWithFormat(line[17:21], "4.2") lat_type = line[21] if centroid_latitude is not None: centroid_latitude *= self._coordinateSign(lat_type) lat_stderr = line[22:25] if lat_stderr == "FX": lat_stderr = "Fixed" else: lat_stderr = self._floatWithFormat(lat_stderr, "3.2", scale) centroid_longitude = self._floatWithFormat(line[25:30], "5.2") lon_type = line[30] if centroid_longitude is not None: centroid_longitude *= self._coordinateSign(lon_type) lon_stderr = line[31:34] if lon_stderr == "FX": lon_stderr = "Fixed" else: lon_stderr = self._floatWithFormat(lon_stderr, "3.2", scale) centroid_depth = self._floatWithFormat(line[34:38], "4.1") depth_stderr = line[38:40] if depth_stderr == "FX" or depth_stderr == "BD": depth_stderr = "Fixed" else: depth_stderr = self._floatWithFormat(depth_stderr, "2.1", scale) station_number = self._intZero(line[40:43]) component_number = self._intZero(line[43:46]) station_number2 = self._intZero(line[46:48]) component_number2 = self._intZero(line[48:51]) # unused: half_duration = self._floatWithFormat(line[51:54], '3.1') moment = self._floatWithFormat(line[54:56], "2.1") moment_stderr = self._floatWithFormat(line[56:58], "2.1") moment_exponent = self._int(line[58:60]) if (moment is not None) and (moment_exponent is not None): moment *= math.pow(10, moment_exponent) if (moment_stderr is not None) and (moment_exponent is not None): moment_stderr *= math.pow(10, moment_exponent) evid = event.resource_id.id.split("/")[-1] # Create a new origin only if centroid time is defined: origin = None if centroid_origin_time.strip() != ".": origin = Origin() res_id = "/".join( (res_id_prefix, "origin", evid, source_contributor.lower(), "mw" + computation_type.lower()) ) origin.resource_id = ResourceIdentifier(id=res_id) origin.creation_info = CreationInfo(agency_id=source_contributor) date = event.origins[0].time.strftime("%Y%m%d") origin.time = UTCDateTime(date + centroid_origin_time) # Check if centroid time is on the next day: if origin.time < event.origins[0].time: origin.time += timedelta(days=1) self._storeUncertainty(origin.time_errors, orig_time_stderr) origin.latitude = centroid_latitude origin.longitude = centroid_longitude origin.depth = centroid_depth * 1000 if lat_stderr == "Fixed" and lon_stderr == "Fixed": origin.epicenter_fixed = True else: self._storeUncertainty(origin.latitude_errors, self._latErrToDeg(lat_stderr)) self._storeUncertainty(origin.longitude_errors, self._lonErrToDeg(lon_stderr, origin.latitude)) if depth_stderr == "Fixed": origin.depth_type = "operator assigned" else: origin.depth_type = "from location" self._storeUncertainty(origin.depth_errors, depth_stderr, scale=1000) quality = OriginQuality() quality.used_station_count = station_number + station_number2 quality.used_phase_count = component_number + component_number2 origin.quality = quality origin.type = "centroid" event.origins.append(origin) focal_mechanism = FocalMechanism() res_id = "/".join( (res_id_prefix, "focalmechanism", evid, source_contributor.lower(), "mw" + computation_type.lower()) ) focal_mechanism.resource_id = ResourceIdentifier(id=res_id) focal_mechanism.creation_info = CreationInfo(agency_id=source_contributor) moment_tensor = MomentTensor() if origin is not None: moment_tensor.derived_origin_id = origin.resource_id else: # this is required for QuakeML validation: res_id = "/".join((res_id_prefix, "no-origin")) moment_tensor.derived_origin_id = ResourceIdentifier(id=res_id) for mag in event.magnitudes: if mag.creation_info.agency_id == source_contributor: moment_tensor.moment_magnitude_id = mag.resource_id res_id = "/".join( (res_id_prefix, "momenttensor", evid, source_contributor.lower(), "mw" + computation_type.lower()) ) moment_tensor.resource_id = ResourceIdentifier(id=res_id) moment_tensor.scalar_moment = moment self._storeUncertainty(moment_tensor.scalar_moment_errors, moment_stderr) data_used = DataUsed() data_used.station_count = station_number + station_number2 data_used.component_count = component_number + component_number2 if computation_type == "C": res_id = "/".join((res_id_prefix, "methodID=CMT")) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # CMT algorithm uses long-period body waves, # very-long-period surface waves and # intermediate period surface waves (since 2004 # for shallow and intermediate-depth earthquakes # --Ekstrom et al., 2012) data_used.wave_type = "combined" if computation_type == "M": res_id = "/".join((res_id_prefix, "methodID=moment_tensor")) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # FIXME: not sure which kind of data is used by # "moment tensor" algorithm. data_used.wave_type = "unknown" elif computation_type == "B": res_id = "/".join((res_id_prefix, "methodID=broadband_data")) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # FIXME: is 'combined' correct here? data_used.wave_type = "combined" elif computation_type == "F": res_id = "/".join((res_id_prefix, "methodID=P-wave_first_motion")) focal_mechanism.method_id = ResourceIdentifier(id=res_id) data_used.wave_type = "P waves" elif computation_type == "S": res_id = "/".join((res_id_prefix, "methodID=scalar_moment")) focal_mechanism.method_id = ResourceIdentifier(id=res_id) # FIXME: not sure which kind of data is used # for scalar moment determination. data_used.wave_type = "unknown" moment_tensor.data_used = data_used focal_mechanism.moment_tensor = moment_tensor event.focal_mechanisms.append(focal_mechanism) return focal_mechanism
def write_qml(config, sourcepar): if not config.options.qml_file: return qml_file = config.options.qml_file cat = read_events(qml_file) evid = config.hypo.evid try: ev = [e for e in cat if evid in str(e.resource_id)][0] except Exception: logging.warning('Unable to find evid "{}" in QuakeML file. ' 'QuakeML output will not be written.'.format(evid)) origin = ev.preferred_origin() if origin is None: origin = ev.origins[0] origin_id = origin.resource_id origin_id_strip = origin_id.id.split('/')[-1] origin_id_strip = origin_id_strip.replace(config.smi_strip_from_origin_id, '') # Common parameters ssp_version = get_versions()['version'] method_id = config.smi_base + '/sourcespec/' + ssp_version cr_info = CreationInfo() cr_info.agency_id = config.agency_id if config.author is None: author = '{}@{}'.format(getuser(), gethostname()) else: author = config.author cr_info.author = author cr_info.creation_time = UTCDateTime() means = sourcepar.means_weight errors = sourcepar.errors_weight stationpar = sourcepar.station_parameters # Magnitude mag = Magnitude() _id = config.smi_magnitude_template.replace('$SMI_BASE', config.smi_base) _id = _id.replace('$ORIGIN_ID', origin_id_strip) mag.resource_id = ResourceIdentifier(id=_id) mag.method_id = ResourceIdentifier(id=method_id) mag.origin_id = origin_id mag.magnitude_type = 'Mw' mag.mag = means['Mw'] mag_err = QuantityError() mag_err.uncertainty = errors['Mw'] mag_err.confidence_level = 68.2 mag.mag_errors = mag_err mag.station_count = len([_s for _s in stationpar.keys()]) mag.evaluation_mode = 'automatic' mag.creation_info = cr_info # Seismic moment -- It has to be stored in a MomentTensor object # which, in turn, is part of a FocalMechanism object mt = MomentTensor() _id = config.smi_moment_tensor_template.replace('$SMI_BASE', config.smi_base) _id = _id.replace('$ORIGIN_ID', origin_id_strip) mt.resource_id = ResourceIdentifier(id=_id) mt.derived_origin_id = origin_id mt.moment_magnitude_id = mag.resource_id mt.scalar_moment = means['Mo'] mt_err = QuantityError() mt_err.lower_uncertainty = errors['Mo'][0] mt_err.upper_uncertainty = errors['Mo'][1] mt_err.confidence_level = 68.2 mt.scalar_moment_errors = mt_err mt.method_id = method_id mt.creation_info = cr_info # And here is the FocalMechanism object fm = FocalMechanism() _id = config.smi_focal_mechanism_template.replace('$SMI_BASE', config.smi_base) _id = _id.replace('$ORIGIN_ID', origin_id_strip) fm.resource_id = ResourceIdentifier(id=_id) fm.triggering_origin_id = origin_id fm.method_id = ResourceIdentifier(id=method_id) fm.moment_tensor = mt fm.creation_info = cr_info ev.focal_mechanisms.append(fm) # Station magnitudes for statId in sorted(stationpar.keys()): par = stationpar[statId] st_mag = StationMagnitude() seed_id = statId.split()[0] _id = config.smi_station_magnitude_template.replace( '$SMI_MAGNITUDE_TEMPLATE', config.smi_magnitude_template) _id = _id.replace('$ORIGIN_ID', origin_id_strip) _id = _id.replace('$SMI_BASE', config.smi_base) _id = _id.replace('$WAVEFORM_ID', seed_id) st_mag.resource_id = ResourceIdentifier(id=_id) st_mag.origin_id = origin_id st_mag.mag = par['Mw'] st_mag.station_magnitude_type = 'Mw' st_mag.method_id = mag.method_id st_mag.creation_info = cr_info st_mag.waveform_id = WaveformStreamID(seed_string=seed_id) st_mag.extra = SSPExtra() st_mag.extra.moment = SSPTag(par['Mo']) st_mag.extra.corner_frequency = SSPTag(par['fc']) st_mag.extra.t_star = SSPTag(par['t_star']) ev.station_magnitudes.append(st_mag) st_mag_contrib = StationMagnitudeContribution() st_mag_contrib.station_magnitude_id = st_mag.resource_id mag.station_magnitude_contributions.append(st_mag_contrib) ev.magnitudes.append(mag) # Write other average parameters as custom tags ev.extra = SSPExtra() ev.extra.corner_frequency = SSPContainerTag() ev.extra.corner_frequency.value.value = SSPTag(means['fc']) ev.extra.corner_frequency.value.lower_uncertainty =\ SSPTag(errors['fc'][0]) ev.extra.corner_frequency.value.upper_uncertainty =\ SSPTag(errors['fc'][1]) ev.extra.corner_frequency.value.confidence_level = SSPTag(68.2) ev.extra.t_star = SSPContainerTag() ev.extra.t_star.value.value = SSPTag(means['t_star']) ev.extra.t_star.value.uncertainty = SSPTag(errors['t_star']) ev.extra.t_star.value.confidence_level = SSPTag(68.2) ev.extra.source_radius = SSPContainerTag() ev.extra.source_radius.value.value = SSPTag(means['ra']) ev.extra.source_radius.value.lower_uncertainty =\ SSPTag(errors['ra'][0]) ev.extra.source_radius.value.upper_uncertainty =\ SSPTag(errors['ra'][1]) ev.extra.source_radius.value.confidence_level = SSPTag(68.2) ev.extra.stress_drop = SSPContainerTag() ev.extra.stress_drop.value.value = SSPTag(means['bsd']) ev.extra.stress_drop.value.lower_uncertainty =\ SSPTag(errors['bsd'][0]) ev.extra.stress_drop.value.upper_uncertainty =\ SSPTag(errors['bsd'][1]) ev.extra.stress_drop.value.confidence_level = SSPTag(68.2) if config.set_preferred_magnitude: ev.preferred_magnitude_id = mag.resource_id.id qml_file_out = os.path.join(config.options.outdir, evid + '.xml') ev.write(qml_file_out, format='QUAKEML') logging.info('QuakeML file written to: ' + qml_file_out)