示例#1
0
    def _parseRecordM(self, line, event, pick):
        """
        Parses the 'surface wave record' M
        """
        #unused: Z_comp = line[7]
        Z_period = self._float(line[9:13])
        # note: according to the format documentation,
        # column 20 should be blank. However, it seems that
        # Z_amplitude includes that column
        Z_amplitude = self._float(line[13:21])  # micrometers
        #TODO: N_comp and E_comp seems to be never there
        MSZ_mag = line[49:52]
        Ms_mag = self._float(line[53:56])
        #unused: Ms_usage_flag = line[56]

        evid = event.resource_id.id.split('/')[-1]
        station_string =\
            pick.waveform_id.getSEEDString()\
            .replace(' ', '-').replace('.', '_').lower()
        amplitude = None
        if Z_amplitude is not None:
            amplitude = Amplitude()
            prefix = '/'.join((res_id_prefix, 'amp', evid, station_string))
            amplitude.resource_id = ResourceIdentifier(prefix=prefix)
            amplitude.generic_amplitude = Z_amplitude * 1E-6
            amplitude.unit = 'm'
            amplitude.period = Z_period
            amplitude.type = 'AS'
            amplitude.magnitude_hint = 'Ms'
            amplitude.pick_id = pick.resource_id
            event.amplitudes.append(amplitude)
        if MSZ_mag is not None:
            station_magnitude = StationMagnitude()
            prefix = '/'.join(
                (res_id_prefix, 'stationmagntiude', evid, station_string))
            station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
            station_magnitude.origin_id = event.origins[0].resource_id
            station_magnitude.mag = Ms_mag
            station_magnitude.station_magnitude_type = 'Ms'
            if amplitude is not None:
                station_magnitude.amplitude_id = amplitude.resource_id
            event.station_magnitudes.append(station_magnitude)
示例#2
0
文件: mchedr.py 项目: bonaime/obspy
    def _parse_record_m(self, line, event, pick):
        """
        Parses the 'surface wave record' M
        """
        # unused: Z_comp = line[7]
        z_period = self._float(line[9:13])
        # note: according to the format documentation,
        # column 20 should be blank. However, it seems that
        # z_amplitude includes that column
        z_amplitude = self._float(line[13:21])  # micrometers
        # TODO: N_comp and E_comp seems to be never there
        msz_mag = line[49:52]
        ms_mag = self._float(line[53:56])
        # unused: Ms_usage_flag = line[56]

        evid = event.resource_id.id.split('/')[-1]
        station_string = \
            pick.waveform_id.get_seed_string()\
            .replace(' ', '-').replace('.', '_').lower()
        amplitude = None
        if z_amplitude is not None:
            amplitude = Amplitude()
            prefix = '/'.join((res_id_prefix, 'amp', evid, station_string))
            amplitude.resource_id = ResourceIdentifier(prefix=prefix)
            amplitude.generic_amplitude = z_amplitude * 1E-6
            amplitude.unit = 'm'
            amplitude.period = z_period
            amplitude.type = 'AS'
            amplitude.magnitude_hint = 'Ms'
            amplitude.pick_id = pick.resource_id
            event.amplitudes.append(amplitude)
        if msz_mag is not None:
            station_magnitude = StationMagnitude()
            prefix = '/'.join((res_id_prefix, 'stationmagntiude',
                               evid, station_string))
            station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
            station_magnitude.origin_id = event.origins[0].resource_id
            station_magnitude.mag = ms_mag
            station_magnitude.station_magnitude_type = 'Ms'
            if amplitude is not None:
                station_magnitude.amplitude_id = amplitude.resource_id
            event.station_magnitudes.append(station_magnitude)
示例#3
0
文件: mchedr.py 项目: kaeufl/obspy
    def _parseRecordM(self, line, event, pick):
        """
        Parses the 'surface wave record' M
        """
        # unused: Z_comp = line[7]
        Z_period = self._float(line[9:13])
        # note: according to the format documentation,
        # column 20 should be blank. However, it seems that
        # Z_amplitude includes that column
        Z_amplitude = self._float(line[13:21])  # micrometers
        # TODO: N_comp and E_comp seems to be never there
        MSZ_mag = line[49:52]
        Ms_mag = self._float(line[53:56])
        # unused: Ms_usage_flag = line[56]

        evid = event.resource_id.id.split("/")[-1]
        station_string = pick.waveform_id.getSEEDString().replace(" ", "-").replace(".", "_").lower()
        amplitude = None
        if Z_amplitude is not None:
            amplitude = Amplitude()
            prefix = "/".join((res_id_prefix, "amp", evid, station_string))
            amplitude.resource_id = ResourceIdentifier(prefix=prefix)
            amplitude.generic_amplitude = Z_amplitude * 1e-6
            amplitude.unit = "m"
            amplitude.period = Z_period
            amplitude.type = "AS"
            amplitude.magnitude_hint = "Ms"
            amplitude.pick_id = pick.resource_id
            event.amplitudes.append(amplitude)
        if MSZ_mag is not None:
            station_magnitude = StationMagnitude()
            prefix = "/".join((res_id_prefix, "stationmagntiude", evid, station_string))
            station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
            station_magnitude.origin_id = event.origins[0].resource_id
            station_magnitude.mag = Ms_mag
            station_magnitude.station_magnitude_type = "Ms"
            if amplitude is not None:
                station_magnitude.amplitude_id = amplitude.resource_id
            event.station_magnitudes.append(station_magnitude)
示例#4
0
    def _parseRecordP(self, line, event):
        """
        Parses the 'primary phase record' P

        The primary phase is the first phase of the reading,
        regardless its type.
        """
        station = line[2:7].strip()
        phase = line[7:15]
        arrival_time = line[15:24]
        residual = self._float(line[25:30])
        #unused: residual_flag = line[30]
        distance = self._float(line[32:38])  # degrees
        azimuth = self._float(line[39:44])
        backazimuth = round(azimuth % -360 + 180, 1)
        mb_period = self._float(line[44:48])
        mb_amplitude = self._float(line[48:55])  # nanometers
        mb_magnitude = self._float(line[56:59])
        #unused: mb_usage_flag = line[59]

        origin = event.origins[0]
        evid = event.resource_id.id.split('/')[-1]
        waveform_id = WaveformStreamID()
        waveform_id.station_code = station
        #network_code is required for QuakeML validation
        waveform_id.network_code = '  '
        station_string =\
            waveform_id.getSEEDString()\
            .replace(' ', '-').replace('.', '_').lower()
        prefix = '/'.join(
            (res_id_prefix, 'waveformstream', evid, station_string))
        waveform_id.resource_uri = ResourceIdentifier(prefix=prefix)
        pick = Pick()
        prefix = '/'.join((res_id_prefix, 'pick', evid, station_string))
        pick.resource_id = ResourceIdentifier(prefix=prefix)
        date = origin.time.strftime('%Y%m%d')
        pick.time = UTCDateTime(date + arrival_time)
        #Check if pick is on the next day:
        if pick.time < origin.time:
            pick.time += timedelta(days=1)
        pick.waveform_id = waveform_id
        pick.backazimuth = backazimuth
        onset = phase[0]
        if onset == 'e':
            pick.onset = 'emergent'
            phase = phase[1:]
        elif onset == 'i':
            pick.onset = 'impulsive'
            phase = phase[1:]
        elif onset == 'q':
            pick.onset = 'questionable'
            phase = phase[1:]
        pick.phase_hint = phase.strip()
        event.picks.append(pick)
        if mb_amplitude is not None:
            amplitude = Amplitude()
            prefix = '/'.join((res_id_prefix, 'amp', evid, station_string))
            amplitude.resource_id = ResourceIdentifier(prefix=prefix)
            amplitude.generic_amplitude = mb_amplitude * 1E-9
            amplitude.unit = 'm'
            amplitude.period = mb_period
            amplitude.type = 'AB'
            amplitude.magnitude_hint = 'Mb'
            amplitude.pick_id = pick.resource_id
            amplitude.waveform_id = pick.waveform_id
            event.amplitudes.append(amplitude)
            station_magnitude = StationMagnitude()
            prefix = '/'.join(
                (res_id_prefix, 'stationmagntiude', evid, station_string))
            station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
            station_magnitude.origin_id = origin.resource_id
            station_magnitude.mag = mb_magnitude
            #station_magnitude.mag_errors['uncertainty'] = 0.0
            station_magnitude.station_magnitude_type = 'Mb'
            station_magnitude.amplitude_id = amplitude.resource_id
            station_magnitude.waveform_id = pick.waveform_id
            res_id = '/'.join(
                (res_id_prefix, 'magnitude/generic/body_wave_magnitude'))
            station_magnitude.method_id =\
                ResourceIdentifier(id=res_id)
            event.station_magnitudes.append(station_magnitude)
        arrival = Arrival()
        prefix = '/'.join((res_id_prefix, 'arrival', evid, station_string))
        arrival.resource_id = ResourceIdentifier(prefix=prefix)
        arrival.pick_id = pick.resource_id
        arrival.phase = pick.phase_hint
        arrival.azimuth = azimuth
        arrival.distance = distance
        arrival.time_residual = residual
        res_id = '/'.join((res_id_prefix, 'earthmodel/ak135'))
        arrival.earth_model_id = ResourceIdentifier(id=res_id)
        origin.arrivals.append(arrival)
        origin.quality.minimum_distance = min(
            d for d in (arrival.distance, origin.quality.minimum_distance)
            if d is not None)
        origin.quality.maximum_distance =\
            max(arrival.distance, origin.quality.minimum_distance)
        origin.quality.associated_phase_count += 1
        return pick, arrival
示例#5
0
    def _parse_arrivals(self, event, origin, origin_res_id):
        # Skip header of arrivals
        next(self.lines)

        # Stop the loop after 2 empty lines (according to the standard).
        previous_line_empty = False

        for line in self.lines:
            line_empty = not line or line.isspace()

            if not self.event_point_separator:
                # Event are separated by two empty lines
                if line_empty and previous_line_empty:
                    break
            else:
                # Event are separated by '.'
                if line.startswith('.'):
                    break

            previous_line_empty = line_empty

            if line_empty:
                # Skip empty lines when the loop should be stopped by
                # point
                continue

            magnitude_types = []
            magnitude_values = []

            fields = self.fields['arrival']

            station = line[fields['sta']].strip()
            distance = line[fields['dist']].strip()
            event_azimuth = line[fields['ev_az']].strip()
            evaluation_mode = line[fields['picktype']].strip()
            direction = line[fields['direction']].strip()
            onset = line[fields['detchar']].strip()
            phase = line[fields['phase']].strip()
            time = line[fields['time']].strip().replace('/', '-')
            time_residual = line[fields['t_res']].strip()
            arrival_azimuth = line[fields['azim']].strip()
            azimuth_residual = line[fields['az_res']].strip()
            slowness = line[fields['slow']].strip()
            slowness_residual = line[fields['s_res']].strip()
            time_defining_flag = line[fields['t_def']].strip()
            azimuth_defining_flag = line[fields['a_def']].strip()
            slowness_defining_flag = line[fields['s_def']].strip()
            snr = line[fields['snr']].strip()
            amplitude_value = line[fields['amp']].strip()
            period = line[fields['per']].strip()
            magnitude_types.append(line[fields['mag_type_1']].strip())
            magnitude_values.append(line[fields['mag_1']].strip())
            magnitude_types.append(line[fields['mag_type_2']].strip())
            magnitude_values.append(line[fields['mag_2']].strip())
            line_id = line[fields['id']].strip()

            # Don't take pick and arrival with wrong time residual
            if '*' in time_residual:
                continue

            try:
                pick = Pick()
                pick.creation_info = self._get_creation_info()
                pick.waveform_id = WaveformStreamID()
                pick.waveform_id.station_code = station
                pick.time = UTCDateTime(time)

                network_code = self.default_network_code
                location_code = self.default_location_code
                channel_code = self.default_channel_code

                try:
                    network_code, channel = self._get_channel(
                        station, pick.time)
                    if channel:
                        channel_code = channel.code
                        location_code = channel.location_code
                except TypeError:
                    pass

                pick.waveform_id.network_code = network_code
                pick.waveform_id.channel_code = channel_code
                if location_code:
                    pick.waveform_id.location_code = location_code

                try:
                    ev_mode = EVALUATION_MODES[evaluation_mode]
                    pick.evaluation_mode = ev_mode
                except KeyError:
                    pass
                try:
                    pick.polarity = PICK_POLARITIES[direction]
                except KeyError:
                    pass
                try:
                    pick.onset = PICK_ONSETS[onset]
                except KeyError:
                    pass
                pick.phase_hint = phase
                try:
                    pick.backazimuth = float(arrival_azimuth)
                except ValueError:
                    pass
                try:
                    pick.horizontal_slowness = float(slowness)
                except ValueError:
                    pass

                public_id = "pick/%s" % line_id
                pick.resource_id = self._get_res_id(public_id)
                event.picks.append(pick)
            except (TypeError, ValueError, AttributeError):
                # Can't parse pick, skip arrival and amplitude parsing
                continue

            arrival = Arrival()
            arrival.creation_info = self._get_creation_info()

            try:
                arrival.pick_id = pick.resource_id.id
            except AttributeError:
                pass
            arrival.phase = phase
            try:
                arrival.azimuth = float(event_azimuth)
            except ValueError:
                pass
            try:
                arrival.distance = float(distance)
            except ValueError:
                pass
            try:
                arrival.time_residual = float(time_residual)
            except ValueError:
                pass
            try:
                arrival.backazimuth_residual = float(azimuth_residual)
            except ValueError:
                pass
            try:
                arrival.horizontal_slowness_residual = float(slowness_residual)
            except ValueError:
                pass

            if time_defining_flag == 'T':
                arrival.time_weight = 1

            if azimuth_defining_flag == 'A':
                arrival.backazimuth_weight = 1

            if slowness_defining_flag == 'S':
                arrival.horizontal_slowness_weight = 1

            public_id = "arrival/%s" % line_id
            arrival.resource_id = self._get_res_id(public_id,
                                                   parent_res_id=origin_res_id)
            origin.arrivals.append(arrival)

            try:
                amplitude = Amplitude()
                amplitude.creation_info = self._get_creation_info()
                amplitude.generic_amplitude = float(amplitude_value)
                try:
                    amplitude.pick_id = pick.resource_id
                    amplitude.waveform_id = pick.waveform_id
                except AttributeError:
                    pass
                try:
                    amplitude.period = float(period)
                except ValueError:
                    pass
                try:
                    amplitude.snr = float(snr)
                except ValueError:
                    pass

                for i in [0, 1]:
                    if magnitude_types[i] and not magnitude_types[i].isspace():
                        amplitude.magnitude_hint = magnitude_types[i]

                public_id = "amplitude/%s" % line_id
                amplitude.resource_id = self._get_res_id(public_id)
                event.amplitudes.append(amplitude)

                for i in [0, 1]:
                    sta_mag = StationMagnitude()
                    sta_mag.creation_info = self._get_creation_info()
                    sta_mag.origin_id = origin_res_id
                    sta_mag.amplitude_id = amplitude.resource_id
                    sta_mag.station_magnitude_type = magnitude_types[i]
                    sta_mag.mag = magnitude_values[i]
                    sta_mag.waveform_id = pick.waveform_id
                    public_id = "magnitude/station/%s/%s" % (line_id, i)
                    sta_mag.resource_id = self._get_res_id(public_id)
                    event.station_magnitudes.append(sta_mag)

                    # Associate station mag with network mag of same type
                    mag = self._find_magnitude_by_type(event, origin_res_id,
                                                       magnitude_types[i])
                    if mag:
                        contrib = StationMagnitudeContribution()
                        contrib.station_magnitude_id = sta_mag.resource_id
                        contrib.weight = 1.0
                        mag.station_magnitude_contributions.append(contrib)
            except ValueError:
                pass
def __toAmplitude(parser, el):
    """
    """
    amp = Amplitude()
    amp.resource_id = ResourceIdentifier(
        prefix="/".join([RESOURCE_ROOT, "amplitude"]))

    if CURRENT_TYPE == "obspyck":
        amp.method_id = "%s/amplitude_method/obspyck/1" % RESOURCE_ROOT
    else:
        msg = "encountered non-obspyck amplitude!"
        raise Exception(msg)

    amp.generic_amplitude, amp.generic_amplitude_errors = \
        __toFloatQuantity(parser, el, "genericAmplitude")

    amp.unit = parser.xpath2obj('unit', el, str)

    waveform = el.xpath("waveform")[0]
    network = waveform.get("networkCode")
    station = fix_station_name(waveform.get("stationCode"))
    # Map some station names.
    if station in STATION_DICT:
        station = STATION_DICT[station]
    if not network:
        network = NETWORK_DICT[station]

    location = waveform.get("locationCode") or ""
    channel = waveform.get("channelCode") or ""
    amp.waveform_id = WaveformStreamID(
        network_code=network,
        station_code=station,
        channel_code=channel,
        location_code=location)

    # Amplitudes without generic_amplitude are not quakeml conform
    if amp.generic_amplitude is None:
        print ("Amplitude has no generic_amplitude value and is "
               "ignored: %s" % station)
        return None

    # generate time_window
    amp.time_window = TimeWindow()
    t_min = parser.xpath2obj('timeWindow/reference', el, UTCDateTime)
    t_max = t_min + parser.xpath2obj('timeWindow/end', el, float)
    dt_abs = abs(t_max - t_min)
    amp.time_window.reference = t_min
    if t_min < t_max:
        amp.time_window.begin = 0.0
        amp.time_window.end = dt_abs
    else:
        amp.time_window.begin = dt_abs
        amp.time_window.end = 0.0

    # we have so far saved frequency in Hz as "period" tag
    # use two times dt instead
    ##amp.period = 1.0 / parser.xpath2obj('period', el, float)
    amp.period = 2.0 * dt_abs

    t = ("PGV; reference time is time of minimum amplitude. if minimum comes "
         "before maximum, start is 0 and end is relative time of maximum. "
         "otherwise end is 0, start is relative time of minimum.")
    comment = Comment(force_resource_id=False, resource_id=None, text=t)
    amp.comments.append(comment)

    return amp
示例#7
0
文件: bulletin.py 项目: Brtle/obspy
    def _parse_arrivals(self, event, origin, origin_res_id):
        # Skip header of arrivals
        next(self.lines)

        # Stop the loop after 2 empty lines (according to the standard).
        previous_line_empty = False

        for line in self.lines:
            line_empty = not line or line.isspace()

            if not self.event_point_separator:
                # Event are separated by two empty lines
                if line_empty and previous_line_empty:
                    break
            else:
                # Event are separated by '.'
                if line.startswith('.'):
                    break

            previous_line_empty = line_empty

            if line_empty:
                # Skip empty lines when the loop should be stopped by
                # point
                continue

            magnitude_types = []
            magnitude_values = []

            fields = self.fields['arrival']

            station = line[fields['sta']].strip()
            distance = line[fields['dist']].strip()
            event_azimuth = line[fields['ev_az']].strip()
            evaluation_mode = line[fields['picktype']].strip()
            direction = line[fields['direction']].strip()
            onset = line[fields['detchar']].strip()
            phase = line[fields['phase']].strip()
            time = line[fields['time']].strip().replace('/', '-')
            time_residual = line[fields['t_res']].strip()
            arrival_azimuth = line[fields['azim']].strip()
            azimuth_residual = line[fields['az_res']].strip()
            slowness = line[fields['slow']].strip()
            slowness_residual = line[fields['s_res']].strip()
            time_defining_flag = line[fields['t_def']].strip()
            azimuth_defining_flag = line[fields['a_def']].strip()
            slowness_defining_flag = line[fields['s_def']].strip()
            snr = line[fields['snr']].strip()
            amplitude_value = line[fields['amp']].strip()
            period = line[fields['per']].strip()
            magnitude_types.append(line[fields['mag_type_1']].strip())
            magnitude_values.append(line[fields['mag_1']].strip())
            magnitude_types.append(line[fields['mag_type_2']].strip())
            magnitude_values.append(line[fields['mag_2']].strip())
            line_id = line[fields['id']].strip()

            # Don't take pick and arrival with wrong time residual
            if '*' in time_residual:
                continue

            try:
                pick = Pick()
                pick.creation_info = self._get_creation_info()
                pick.waveform_id = WaveformStreamID()
                pick.waveform_id.station_code = station
                pick.time = UTCDateTime(time)

                network_code = self.default_network_code
                location_code = self.default_location_code
                channel_code = self.default_channel_code

                try:
                    network_code, channel = self._get_channel(station,
                                                              pick.time)
                    if channel:
                        channel_code = channel.code
                        location_code = channel.location_code
                except TypeError:
                    pass

                pick.waveform_id.network_code = network_code
                pick.waveform_id.channel_code = channel_code
                if location_code:
                    pick.waveform_id.location_code = location_code

                try:
                    ev_mode = EVALUATION_MODES[evaluation_mode]
                    pick.evaluation_mode = ev_mode
                except KeyError:
                    pass
                try:
                    pick.polarity = PICK_POLARITIES[direction]
                except KeyError:
                    pass
                try:
                    pick.onset = PICK_ONSETS[onset]
                except KeyError:
                    pass
                pick.phase_hint = phase
                try:
                    pick.backazimuth = float(arrival_azimuth)
                except ValueError:
                    pass
                try:
                    pick.horizontal_slowness = float(slowness)
                except ValueError:
                    pass

                public_id = "pick/%s" % line_id
                pick.resource_id = self._get_res_id(public_id)
                event.picks.append(pick)
            except (TypeError, ValueError, AttributeError):
                # Can't parse pick, skip arrival and amplitude parsing
                continue

            arrival = Arrival()
            arrival.creation_info = self._get_creation_info()

            try:
                arrival.pick_id = pick.resource_id.id
            except AttributeError:
                pass
            arrival.phase = phase
            try:
                arrival.azimuth = float(event_azimuth)
            except ValueError:
                pass
            try:
                arrival.distance = float(distance)
            except ValueError:
                pass
            try:
                arrival.time_residual = float(time_residual)
            except ValueError:
                pass
            try:
                arrival.backazimuth_residual = float(azimuth_residual)
            except ValueError:
                pass
            try:
                arrival.horizontal_slowness_residual = float(slowness_residual)
            except ValueError:
                pass

            if time_defining_flag == 'T':
                arrival.time_weight = 1

            if azimuth_defining_flag == 'A':
                arrival.backazimuth_weight = 1

            if slowness_defining_flag == 'S':
                arrival.horizontal_slowness_weight = 1

            public_id = "arrival/%s" % line_id
            arrival.resource_id = self._get_res_id(public_id,
                                                   parent_res_id=origin_res_id)
            origin.arrivals.append(arrival)

            try:
                amplitude = Amplitude()
                amplitude.creation_info = self._get_creation_info()
                amplitude.generic_amplitude = float(amplitude_value)
                try:
                    amplitude.pick_id = pick.resource_id
                    amplitude.waveform_id = pick.waveform_id
                except AttributeError:
                    pass
                try:
                    amplitude.period = float(period)
                except ValueError:
                    pass
                try:
                    amplitude.snr = float(snr)
                except ValueError:
                    pass

                for i in [0, 1]:
                    if magnitude_types[i] and not magnitude_types[i].isspace():
                        amplitude.magnitude_hint = magnitude_types[i]

                public_id = "amplitude/%s" % line_id
                amplitude.resource_id = self._get_res_id(public_id)
                event.amplitudes.append(amplitude)

                for i in [0, 1]:
                    sta_mag = StationMagnitude()
                    sta_mag.creation_info = self._get_creation_info()
                    sta_mag.origin_id = origin_res_id
                    sta_mag.amplitude_id = amplitude.resource_id
                    sta_mag.station_magnitude_type = magnitude_types[i]
                    sta_mag.mag = magnitude_values[i]
                    public_id = "magnitude/station/%s/%s" % (line_id, i)
                    sta_mag.resource_id = self._get_res_id(public_id)
                    event.station_magnitudes.append(sta_mag)
            except ValueError:
                pass
示例#8
0
文件: mchedr.py 项目: bonaime/obspy
    def _parse_record_p(self, line, event):
        """
        Parses the 'primary phase record' P

        The primary phase is the first phase of the reading,
        regardless its type.
        """
        station = line[2:7].strip()
        phase = line[7:15]
        arrival_time = line[15:24]
        residual = self._float(line[25:30])
        # unused: residual_flag = line[30]
        distance = self._float(line[32:38])  # degrees
        azimuth = self._float(line[39:44])
        backazimuth = round(azimuth % -360 + 180, 1)
        mb_period = self._float(line[44:48])
        mb_amplitude = self._float(line[48:55])  # nanometers
        mb_magnitude = self._float(line[56:59])
        # unused: mb_usage_flag = line[59]

        origin = event.origins[0]
        evid = event.resource_id.id.split('/')[-1]
        waveform_id = WaveformStreamID()
        waveform_id.station_code = station
        # network_code is required for QuakeML validation
        waveform_id.network_code = '  '
        station_string = \
            waveform_id.get_seed_string()\
            .replace(' ', '-').replace('.', '_').lower()
        prefix = '/'.join((res_id_prefix, 'waveformstream',
                           evid, station_string))
        waveform_id.resource_uri = ResourceIdentifier(prefix=prefix)
        pick = Pick()
        prefix = '/'.join((res_id_prefix, 'pick', evid, station_string))
        pick.resource_id = ResourceIdentifier(prefix=prefix)
        date = origin.time.strftime('%Y%m%d')
        pick.time = UTCDateTime(date + arrival_time)
        # Check if pick is on the next day:
        if pick.time < origin.time:
            pick.time += timedelta(days=1)
        pick.waveform_id = waveform_id
        pick.backazimuth = backazimuth
        onset = phase[0]
        if onset == 'e':
            pick.onset = 'emergent'
            phase = phase[1:]
        elif onset == 'i':
            pick.onset = 'impulsive'
            phase = phase[1:]
        elif onset == 'q':
            pick.onset = 'questionable'
            phase = phase[1:]
        pick.phase_hint = phase.strip()
        event.picks.append(pick)
        if mb_amplitude is not None:
            amplitude = Amplitude()
            prefix = '/'.join((res_id_prefix, 'amp', evid, station_string))
            amplitude.resource_id = ResourceIdentifier(prefix=prefix)
            amplitude.generic_amplitude = mb_amplitude * 1E-9
            amplitude.unit = 'm'
            amplitude.period = mb_period
            amplitude.type = 'AB'
            amplitude.magnitude_hint = 'Mb'
            amplitude.pick_id = pick.resource_id
            amplitude.waveform_id = pick.waveform_id
            event.amplitudes.append(amplitude)
            station_magnitude = StationMagnitude()
            prefix = '/'.join((res_id_prefix, 'stationmagntiude',
                               evid, station_string))
            station_magnitude.resource_id = ResourceIdentifier(prefix=prefix)
            station_magnitude.origin_id = origin.resource_id
            station_magnitude.mag = mb_magnitude
            # station_magnitude.mag_errors['uncertainty'] = 0.0
            station_magnitude.station_magnitude_type = 'Mb'
            station_magnitude.amplitude_id = amplitude.resource_id
            station_magnitude.waveform_id = pick.waveform_id
            res_id = '/'.join(
                (res_id_prefix, 'magnitude/generic/body_wave_magnitude'))
            station_magnitude.method_id = \
                ResourceIdentifier(id=res_id)
            event.station_magnitudes.append(station_magnitude)
        arrival = Arrival()
        prefix = '/'.join((res_id_prefix, 'arrival', evid, station_string))
        arrival.resource_id = ResourceIdentifier(prefix=prefix)
        arrival.pick_id = pick.resource_id
        arrival.phase = pick.phase_hint
        arrival.azimuth = azimuth
        arrival.distance = distance
        arrival.time_residual = residual
        res_id = '/'.join((res_id_prefix, 'earthmodel/ak135'))
        arrival.earth_model_id = ResourceIdentifier(id=res_id)
        origin.arrivals.append(arrival)
        origin.quality.minimum_distance = min(
            d for d in (arrival.distance, origin.quality.minimum_distance)
            if d is not None)
        origin.quality.maximum_distance = \
            max(arrival.distance, origin.quality.minimum_distance)
        origin.quality.associated_phase_count += 1
        return pick, arrival
def __toAmplitude(parser, el):
    """
    """
    amp = Amplitude()
    amp.resource_id = ResourceIdentifier(
        prefix="/".join([RESOURCE_ROOT, "amplitude"]))

    if CURRENT_TYPE == "obspyck":
        amp.method_id = "%s/amplitude_method/obspyck/1" % RESOURCE_ROOT
    else:
        msg = "encountered non-obspyck amplitude!"
        raise Exception(msg)

    amp.generic_amplitude, amp.generic_amplitude_errors = \
        __toFloatQuantity(parser, el, "genericAmplitude")

    amp.unit = parser.xpath2obj('unit', el, str)

    waveform = el.xpath("waveform")[0]
    network = waveform.get("networkCode")
    station = fix_station_name(waveform.get("stationCode"))
    # Map some station names.
    if station in STATION_DICT:
        station = STATION_DICT[station]
    if not network:
        network = NETWORK_DICT[station]

    location = waveform.get("locationCode") or ""
    channel = waveform.get("channelCode") or ""
    amp.waveform_id = WaveformStreamID(network_code=network,
                                       station_code=station,
                                       channel_code=channel,
                                       location_code=location)

    # Amplitudes without generic_amplitude are not quakeml conform
    if amp.generic_amplitude is None:
        print(
            "Amplitude has no generic_amplitude value and is "
            "ignored: %s" % station)
        return None

    # generate time_window
    amp.time_window = TimeWindow()
    t_min = parser.xpath2obj('timeWindow/reference', el, UTCDateTime)
    t_max = t_min + parser.xpath2obj('timeWindow/end', el, float)
    dt_abs = abs(t_max - t_min)
    amp.time_window.reference = t_min
    if t_min < t_max:
        amp.time_window.begin = 0.0
        amp.time_window.end = dt_abs
    else:
        amp.time_window.begin = dt_abs
        amp.time_window.end = 0.0

    # we have so far saved frequency in Hz as "period" tag
    # use two times dt instead
    ##amp.period = 1.0 / parser.xpath2obj('period', el, float)
    amp.period = 2.0 * dt_abs

    t = ("PGV; reference time is time of minimum amplitude. if minimum comes "
         "before maximum, start is 0 and end is relative time of maximum. "
         "otherwise end is 0, start is relative time of minimum.")
    comment = Comment(force_resource_id=False, resource_id=None, text=t)
    amp.comments.append(comment)

    return amp
示例#10
0
def _read_single_event(event_file, locate_dir, units, local_mag_ph):
    """
    Parse an event file from QuakeMigrate into an obspy Event object.

    Parameters
    ----------
    event_file : `pathlib.Path` object
        Path to .event file to read.
    locate_dir : `pathlib.Path` object
        Path to locate directory (contains "events", "picks" etc. directories).
    units : {"km", "m"}
        Grid projection coordinates for QM LUT (determines units of depths and
        uncertainties in the .event files).
    local_mag_ph : {"S", "P"}
        Amplitude measurement used to calculate local magnitudes.

    Returns
    -------
    event : `obspy.Event` object
        Event object populated with all available information output by
        :class:`~quakemigrate.signal.scan.locate()`, including event locations
        and uncertainties, picks, and amplitudes and magnitudes if available.

    """

    # Parse information from event file
    event_info = pd.read_csv(event_file).iloc[0]
    event_uid = str(event_info["EventID"])

    # Set distance conversion factor (from units of QM LUT projection units).
    if units == "km":
        factor = 1e3
    elif units == "m":
        factor = 1
    else:
        raise AttributeError(f"units must be 'km' or 'm'; not {units}")

    # Create event object to store origin and pick information
    event = Event()
    event.extra = AttribDict()
    event.resource_id = str(event_info["EventID"])
    event.creation_info = CreationInfo(author="QuakeMigrate",
                                       version=quakemigrate.__version__)

    # Add COA info to extra
    event.extra.coa = {"value": event_info["COA"], "namespace": ns}
    event.extra.coa_norm = {"value": event_info["COA_NORM"], "namespace": ns}
    event.extra.trig_coa = {"value": event_info["TRIG_COA"], "namespace": ns}
    event.extra.dec_coa = {"value": event_info["DEC_COA"], "namespace": ns}
    event.extra.dec_coa_norm = {
        "value": event_info["DEC_COA_NORM"],
        "namespace": ns
    }

    # Determine location of cut waveform data - add to event object as a
    # custom extra attribute.
    mseed = locate_dir / "raw_cut_waveforms" / event_uid
    event.extra.cut_waveforms_file = {
        "value": str(mseed.with_suffix(".m").resolve()),
        "namespace": ns
    }
    if (locate_dir / "real_cut_waveforms").exists():
        mseed = locate_dir / "real_cut_waveforms" / event_uid
        event.extra.real_cut_waveforms_file = {
            "value": str(mseed.with_suffix(".m").resolve()),
            "namespace": ns
        }
    if (locate_dir / "wa_cut_waveforms").exists():
        mseed = locate_dir / "wa_cut_waveforms" / event_uid
        event.extra.wa_cut_waveforms_file = {
            "value": str(mseed.with_suffix(".m").resolve()),
            "namespace": ns
        }

    # Create origin with spline location and set to preferred event origin.
    origin = Origin()
    origin.method_id = "spline"
    origin.longitude = event_info["X"]
    origin.latitude = event_info["Y"]
    origin.depth = event_info["Z"] * factor
    origin.time = UTCDateTime(event_info["DT"])
    event.origins = [origin]
    event.preferred_origin_id = origin.resource_id

    # Create origin with gaussian location and associate with event
    origin = Origin()
    origin.method_id = "gaussian"
    origin.longitude = event_info["GAU_X"]
    origin.latitude = event_info["GAU_Y"]
    origin.depth = event_info["GAU_Z"] * factor
    origin.time = UTCDateTime(event_info["DT"])
    event.origins.append(origin)

    ouc = OriginUncertainty()
    ce = ConfidenceEllipsoid()
    ce.semi_major_axis_length = event_info["COV_ErrY"] * factor
    ce.semi_intermediate_axis_length = event_info["COV_ErrX"] * factor
    ce.semi_minor_axis_length = event_info["COV_ErrZ"] * factor
    ce.major_axis_plunge = 0
    ce.major_axis_azimuth = 0
    ce.major_axis_rotation = 0
    ouc.confidence_ellipsoid = ce
    ouc.preferred_description = "confidence ellipsoid"

    # Set uncertainties for both as the gaussian uncertainties
    for origin in event.origins:
        origin.longitude_errors.uncertainty = kilometer2degrees(
            event_info["GAU_ErrX"] * factor / 1e3)
        origin.latitude_errors.uncertainty = kilometer2degrees(
            event_info["GAU_ErrY"] * factor / 1e3)
        origin.depth_errors.uncertainty = event_info["GAU_ErrZ"] * factor
        origin.origin_uncertainty = ouc

    # Add OriginQuality info to each origin?
    for origin in event.origins:
        origin.origin_type = "hypocenter"
        origin.evaluation_mode = "automatic"

    # --- Handle picks file ---
    pick_file = locate_dir / "picks" / event_uid
    if pick_file.with_suffix(".picks").is_file():
        picks = pd.read_csv(pick_file.with_suffix(".picks"))
    else:
        return None

    for _, pickline in picks.iterrows():
        station = str(pickline["Station"])
        phase = str(pickline["Phase"])
        wid = WaveformStreamID(network_code="", station_code=station)

        for method in ["modelled", "autopick"]:
            pick = Pick()
            pick.extra = AttribDict()
            pick.waveform_id = wid
            pick.method_id = method
            pick.phase_hint = phase
            if method == "autopick" and str(pickline["PickTime"]) != "-1":
                pick.time = UTCDateTime(pickline["PickTime"])
                pick.time_errors.uncertainty = float(pickline["PickError"])
                pick.extra.snr = {
                    "value": float(pickline["SNR"]),
                    "namespace": ns
                }
            elif method == "modelled":
                pick.time = UTCDateTime(pickline["ModelledTime"])
            else:
                continue
            event.picks.append(pick)

    # --- Handle amplitudes file ---
    amps_file = locate_dir / "amplitudes" / event_uid
    if amps_file.with_suffix(".amps").is_file():
        amps = pd.read_csv(amps_file.with_suffix(".amps"))

        i = 0
        for _, ampsline in amps.iterrows():
            wid = WaveformStreamID(seed_string=ampsline["id"])
            noise_amp = ampsline["Noise_amp"] / 1000  # mm to m
            for phase in ["P_amp", "S_amp"]:
                amp = Amplitude()
                if pd.isna(ampsline[phase]):
                    continue
                amp.generic_amplitude = ampsline[phase] / 1000  # mm to m
                amp.generic_amplitude_errors.uncertainty = noise_amp
                amp.unit = "m"
                amp.type = "AML"
                amp.method_id = phase
                amp.period = 1 / ampsline[f"{phase[0]}_freq"]
                amp.time_window = TimeWindow(
                    reference=UTCDateTime(ampsline[f"{phase[0]}_time"]))
                # amp.pick_id = ?
                amp.waveform_id = wid
                # amp.filter_id = ?
                amp.magnitude_hint = "ML"
                amp.evaluation_mode = "automatic"
                amp.extra = AttribDict()
                try:
                    amp.extra.filter_gain = {
                        "value": ampsline[f"{phase[0]}_filter_gain"],
                        "namespace": ns
                    }
                    amp.extra.avg_amp = {
                        "value": ampsline[f"{phase[0]}_avg_amp"] / 1000,  # m
                        "namespace": ns
                    }
                except KeyError:
                    pass

                if phase[0] == local_mag_ph and not pd.isna(ampsline["ML"]):
                    i += 1
                    stat_mag = StationMagnitude()
                    stat_mag.extra = AttribDict()
                    # stat_mag.origin_id = ? local_mag_loc
                    stat_mag.mag = ampsline["ML"]
                    stat_mag.mag_errors.uncertainty = ampsline["ML_Err"]
                    stat_mag.station_magnitude_type = "ML"
                    stat_mag.amplitude_id = amp.resource_id
                    stat_mag.extra.picked = {
                        "value": ampsline["is_picked"],
                        "namespace": ns
                    }
                    stat_mag.extra.epi_dist = {
                        "value": ampsline["epi_dist"],
                        "namespace": ns
                    }
                    stat_mag.extra.z_dist = {
                        "value": ampsline["z_dist"],
                        "namespace": ns
                    }

                    event.station_magnitudes.append(stat_mag)

                event.amplitudes.append(amp)

        mag = Magnitude()
        mag.extra = AttribDict()
        mag.mag = event_info["ML"]
        mag.mag_errors.uncertainty = event_info["ML_Err"]
        mag.magnitude_type = "ML"
        # mag.origin_id = ?
        mag.station_count = i
        mag.evaluation_mode = "automatic"
        mag.extra.r2 = {"value": event_info["ML_r2"], "namespace": ns}

        event.magnitudes = [mag]
        event.preferred_magnitude_id = mag.resource_id

    return event