def _map_origin2magnitude(self, db, mtype='ml'): """ Return an obspy Magnitude from an dict of CSS key/values corresponding to one record. Inputs ====== db : dict of key/values of CSS fields from the 'origin' table Returns ======= obspy.core.event.Magnitude Notes ===== Any object that supports the dict 'get' method can be passed as input, e.g. OrderedDict, custom classes, etc. """ m = Magnitude() m.mag = db.get(mtype) m.magnitude_type = mtype m.creation_info = CreationInfo( creation_time = _utc(db.get('lddate')), agency_id = self.agency, version = db.get('orid'), author = db.get('auth'), ) if m.creation_info.author.startswith('orb'): m.evaluation_status = "preliminary" else: m.evaluation_status = "reviewed" m.resource_id = self._rid(m) return m
def _on_file_save(self): """ Creates a new obspy.core.event.Magnitude object and writes the moment magnitude to it. """ # Get the save filename. filename = QtGui.QFileDialog.getSaveFileName(caption="Save as...") filename = os.path.abspath(str(filename)) mag = Magnitude() mag.mag = self.final_result["moment_magnitude"] mag.magnitude_type = "Mw" mag.station_count = self.final_result["station_count"] mag.evaluation_mode = "manual" # Link to the used origin. mag.origin_id = self.current_state["event"].origins[0].resource_id mag.method_id = "Magnitude picker Krischer" # XXX: Potentially change once this program gets more stable. mag.evaluation_status = "preliminary" # Write the other results as Comments. mag.comments.append( \ Comment("Seismic moment in Nm: %g" % \ self.final_result["seismic_moment"])) mag.comments.append( \ Comment("Circular source radius in m: %.2f" % \ self.final_result["source_radius"])) mag.comments.append( \ Comment("Stress drop in Pa: %.2f" % \ self.final_result["stress_drop"])) mag.comments.append( \ Comment("Very rough Q estimation: %.1f" % \ self.final_result["quality_factor"])) event = copy.deepcopy(self.current_state["event"]) event.magnitudes.append(mag) cat = Catalog() cat.events.append(event) cat.write(filename, format="quakeml")
def _map_netmag2magnitude(self, db): """ Return an obspy Magnitude from an dict of CSS key/values corresponding to one record. Inputs ====== db : dict of key/values of CSS fields from the 'netmag' table Returns ======= obspy.core.event.Magnitude Notes ===== Any object that supports the dict 'get' method can be passed as input, e.g. OrderedDict, custom classes, etc. """ m = Magnitude() m.mag = db.get('magnitude') m.magnitude_type = db.get('magtype') m.mag_errors.uncertainty = db.get('uncertainty') m.station_count = db.get('nsta') posted_author = _str(db.get('auth')) mode, status = self.get_event_status(posted_author) m.evaluation_mode = mode m.evaluation_status = status m.creation_info = CreationInfo( creation_time = _utc(db.get('lddate')), agency_id = self.agency, version = db.get('magid'), author = posted_author, ) m.resource_id = self._rid(m) return m
def _on_file_save(self): """ Creates a new obspy.core.event.Magnitude object and writes the moment magnitude to it. """ # Get the save filename. filename = QtGui.QFileDialog.getSaveFileName(caption="Save as...") filename = os.path.abspath(str(filename)) mag = Magnitude() mag.mag = self.final_result["moment_magnitude"] mag.magnitude_type = "Mw" mag.station_count = self.final_result["station_count"] mag.evaluation_mode = "manual" # Link to the used origin. mag.origin_id = self.current_state["event"].origins[0].resource_id mag.method_id = "Magnitude picker Krischer" # XXX: Potentially change once this program gets more stable. mag.evaluation_status = "preliminary" # Write the other results as Comments. mag.comments.append( \ Comment("Seismic moment in Nm: %g" % \ self.final_result["seismic_moment"])) mag.comments.append( \ Comment("Circular source radius in m: %.2f" % \ self.final_result["source_radius"])) mag.comments.append( \ Comment("Stress drop in Pa: %.2f" % \ self.final_result["stress_drop"])) mag.comments.append( \ Comment("Very rough Q estimation: %.1f" % \ self.final_result["quality_factor"])) event = copy.deepcopy(self.current_state["event"]) event.magnitudes.append(mag) cat = Catalog() cat.events.append(event) cat.write(filename, format="quakeml")
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 calculate_moment_magnitudes(cat, output_file): """ :param cat: obspy.core.event.Catalog object. """ Mws = [] Mls = [] Mws_std = [] for event in cat: if not event.origins: print "No origin for event %s" % event.resource_id continue if not event.magnitudes: print "No magnitude for event %s" % event.resource_id continue origin_time = event.origins[0].time local_magnitude = event.magnitudes[0].mag #if local_magnitude < 1.0: #continue moments = [] source_radii = [] corner_frequencies = [] for pick in event.picks: # Only p phase picks. if pick.phase_hint.lower() == "p": radiation_pattern = 0.52 velocity = V_P k = 0.32 elif pick.phase_hint.lower() == "s": radiation_pattern = 0.63 velocity = V_S k = 0.21 else: continue distance = (pick.time - origin_time) * velocity if distance <= 0.0: continue stream = get_corresponding_stream(pick.waveform_id, pick.time, PADDING) if stream is None or len(stream) != 3: continue omegas = [] corner_freqs = [] for trace in stream: # Get the index of the pick. pick_index = int(round((pick.time - trace.stats.starttime) / \ trace.stats.delta)) # Choose date window 0.5 seconds before and 1 second after pick. data_window = trace.data[pick_index - \ int(TIME_BEFORE_PICK * trace.stats.sampling_rate): \ pick_index + int(TIME_AFTER_PICK * trace.stats.sampling_rate)] # Calculate the spectrum. spec, freq = mtspec.mtspec(data_window, trace.stats.delta, 2) try: fit = fit_spectrum(spec, freq, pick.time - origin_time, spec.max(), 10.0) except: continue if fit is None: continue Omega_0, f_c, err, _ = fit Omega_0 = np.sqrt(Omega_0) omegas.append(Omega_0) corner_freqs.append(f_c) M_0 = 4.0 * np.pi * DENSITY * velocity ** 3 * distance * \ np.sqrt(omegas[0] ** 2 + omegas[1] ** 2 + omegas[2] ** 2) / \ radiation_pattern r = 3 * k * V_S / sum(corner_freqs) moments.append(M_0) source_radii.append(r) corner_frequencies.extend(corner_freqs) if not len(moments): print "No moments could be calculated for event %s" % \ event.resource_id.resource_id continue # Calculate the seismic moment via basic statistics. moments = np.array(moments) moment = moments.mean() moment_std = moments.std() corner_frequencies = np.array(corner_frequencies) corner_frequency = corner_frequencies.mean() corner_frequency_std = corner_frequencies.std() # Calculate the source radius. source_radii = np.array(source_radii) source_radius = source_radii.mean() source_radius_std = source_radii.std() # Calculate the stress drop of the event based on the average moment and # source radii. stress_drop = (7 * moment) / (16 * source_radius ** 3) stress_drop_std = np.sqrt((stress_drop ** 2) * \ (((moment_std ** 2) / (moment ** 2)) + \ (9 * source_radius * source_radius_std ** 2))) if source_radius > 0 and source_radius_std < source_radius: print "Source radius:", source_radius, " Std:", source_radius_std print "Stress drop:", stress_drop / 1E5, " Std:", stress_drop_std / 1E5 Mw = 2.0 / 3.0 * (np.log10(moment) - 9.1) Mw_std = 2.0 / 3.0 * moment_std / (moment * np.log(10)) Mws_std.append(Mw_std) Mws.append(Mw) Mls.append(local_magnitude) calc_diff = abs(Mw - local_magnitude) Mw = ("%.3f" % Mw).rjust(7) Ml = ("%.3f" % local_magnitude).rjust(7) diff = ("%.3e" % calc_diff).rjust(7) ret_string = colorama.Fore.GREEN + \ "For event %s: Ml=%s | Mw=%s | " % (event.resource_id.resource_id, Ml, Mw) if calc_diff >= 1.0: ret_string += colorama.Fore.RED ret_string += "Diff=%s" % diff ret_string += colorama.Fore.GREEN ret_string += " | Determined at %i stations" % len(moments) ret_string += colorama.Style.RESET_ALL print ret_string mag = Magnitude() mag.mag = Mw mag.mag_errors.uncertainty = Mw_std mag.magnitude_type = "Mw" mag.origin_id = event.origins[0].resource_id mag.method_id = "smi:com.github/krischer/moment_magnitude_calculator/automatic/1" mag.station_count = len(moments) mag.evaluation_mode = "automatic" mag.evaluation_status = "preliminary" mag.comments.append(Comment( \ "Seismic Moment=%e Nm; standard deviation=%e" % (moment, moment_std))) mag.comments.append(Comment("Custom fit to Boatwright spectrum")) if source_radius > 0 and source_radius_std < source_radius: mag.comments.append(Comment( \ "Source radius=%.2fm; standard deviation=%.2f" % (source_radius, source_radius_std))) event.magnitudes.append(mag) print "Writing output file..." cat.write(output_file, format="quakeml")
def calculate_moment_magnitudes(cat, output_file): """ :param cat: obspy.core.event.Catalog object. """ Mws = [] Mls = [] Mws_std = [] for event in cat: if not event.origins: print "No origin for event %s" % event.resource_id continue if not event.magnitudes: print "No magnitude for event %s" % event.resource_id continue origin_time = event.origins[0].time local_magnitude = event.magnitudes[0].mag #if local_magnitude < 1.0: #continue moments = [] source_radii = [] corner_frequencies = [] for pick in event.picks: # Only p phase picks. if pick.phase_hint.lower() == "p": radiation_pattern = 0.52 velocity = V_P k = 0.32 elif pick.phase_hint.lower() == "s": radiation_pattern = 0.63 velocity = V_S k = 0.21 else: continue distance = (pick.time - origin_time) * velocity if distance <= 0.0: continue stream = get_corresponding_stream(pick.waveform_id, pick.time, PADDING) if stream is None or len(stream) != 3: continue omegas = [] corner_freqs = [] for trace in stream: # Get the index of the pick. pick_index = int(round((pick.time - trace.stats.starttime) / \ trace.stats.delta)) # Choose date window 0.5 seconds before and 1 second after pick. data_window = trace.data[pick_index - \ int(TIME_BEFORE_PICK * trace.stats.sampling_rate): \ pick_index + int(TIME_AFTER_PICK * trace.stats.sampling_rate)] # Calculate the spectrum. spec, freq = mtspec.mtspec(data_window, trace.stats.delta, 2) try: fit = fit_spectrum(spec, freq, pick.time - origin_time, spec.max(), 10.0) except: continue if fit is None: continue Omega_0, f_c, err, _ = fit Omega_0 = np.sqrt(Omega_0) omegas.append(Omega_0) corner_freqs.append(f_c) M_0 = 4.0 * np.pi * DENSITY * velocity ** 3 * distance * \ np.sqrt(omegas[0] ** 2 + omegas[1] ** 2 + omegas[2] ** 2) / \ radiation_pattern r = 3 * k * V_S / sum(corner_freqs) moments.append(M_0) source_radii.append(r) corner_frequencies.extend(corner_freqs) if not len(moments): print "No moments could be calculated for event %s" % \ event.resource_id.resource_id continue # Calculate the seismic moment via basic statistics. moments = np.array(moments) moment = moments.mean() moment_std = moments.std() corner_frequencies = np.array(corner_frequencies) corner_frequency = corner_frequencies.mean() corner_frequency_std = corner_frequencies.std() # Calculate the source radius. source_radii = np.array(source_radii) source_radius = source_radii.mean() source_radius_std = source_radii.std() # Calculate the stress drop of the event based on the average moment and # source radii. stress_drop = (7 * moment) / (16 * source_radius ** 3) stress_drop_std = np.sqrt((stress_drop ** 2) * \ (((moment_std ** 2) / (moment ** 2)) + \ (9 * source_radius * source_radius_std ** 2))) if source_radius > 0 and source_radius_std < source_radius: print "Source radius:", source_radius, " Std:", source_radius_std print "Stress drop:", stress_drop / 1E5, " Std:", stress_drop_std / 1E5 Mw = 2.0 / 3.0 * (np.log10(moment) - 9.1) Mw_std = 2.0 / 3.0 * moment_std / (moment * np.log(10)) Mws_std.append(Mw_std) Mws.append(Mw) Mls.append(local_magnitude) calc_diff = abs(Mw - local_magnitude) Mw = ("%.3f" % Mw).rjust(7) Ml = ("%.3f" % local_magnitude).rjust(7) diff = ("%.3e" % calc_diff).rjust(7) ret_string = colorama.Fore.GREEN + \ "For event %s: Ml=%s | Mw=%s | " % (event.resource_id.resource_id, Ml, Mw) if calc_diff >= 1.0: ret_string += colorama.Fore.RED ret_string += "Diff=%s" % diff ret_string += colorama.Fore.GREEN ret_string += " | Determined at %i stations" % len(moments) ret_string += colorama.Style.RESET_ALL print ret_string mag = Magnitude() mag.mag = Mw mag.mag_errors.uncertainty = Mw_std mag.magnitude_type = "Mw" mag.origin_id = event.origins[0].resource_id mag.method_id = "Custom fit to Boatwright spectrum" mag.station_count = len(moments) mag.evaluation_mode = "automatic" mag.evaluation_status = "preliminary" mag.comments.append(Comment( \ "Seismic Moment=%e Nm; standard deviation=%e" % (moment, moment_std))) if source_radius > 0 and source_radius_std < source_radius: mag.comments.append(Comment( \ "Source radius=%.2fm; standard deviation=%.2f" % (source_radius, source_radius_std))) event.magnitudes.append(mag) print "Writing output file..." cat.write(output_file, format="quakeml")