Beispiel #1
0
 def __init__(self, filename):
     '''
     :param str filename:
         Name of the catalogue file in ndk format
     '''
     self.filename = filename
     self.data = GCMTCatalogue()
    def read_file(self, start_year=None, end_year=None):
        '''
        Reads the file
        '''
        raw_data = getlines(self.filename)
        num_lines = len(raw_data)
        if ((float(num_lines) / 5.) - float(num_lines // 5)) > 1E-9:
            raise IOError('GCMT represented by 5 lines - number in file not'
                          ' a multiple of 5!')
        number_gcmts = num_lines // 5
        # Pre-allocates list
        data_gcmts = [None for i in range(number_gcmts)]
        id0 = 0
        print('Parsing catalogue ...')
        for iloc in range(number_gcmts):
            data_gcmts[iloc] = self.read_ndk_event(raw_data, id0)
            id0 += 5
        print('complete. Contains %s moment tensors' % len(data_gcmts))
        if not start_year:
            start_year = data_gcmts[0].centroid.date.year

        if not end_year:
            end_year = data_gcmts[-1].centroid.date.year
        
        return GCMTCatalogue(start_year, end_year, data_gcmts)
    def __init__(self):
        """
        Initialise the catalogue with an empty data dictionary
        """
        self.data = {}

        for attribute in self.TOTAL_ATTRIBUTE_LIST:
            if attribute in self.FLOAT_ATTRIBUTE_LIST:
                self.data[attribute] = np.array([], dtype=float)
            elif attribute in self.INT_ATTRIBUTE_LIST:
                self.data[attribute] = np.array([], dtype=int)
            else:
                self.data[attribute] = []

        self.number_earthquakes = 0
        self.gcmt_catalogue = GCMTCatalogue()
Beispiel #4
0
class ParseNDKtoGCMT(object):
    '''
    Implements the parser to read a file in ndk format to the GCMT catalogue
    '''
    def __init__(self, filename):
        '''
        :param str filename:
            Name of the catalogue file in ndk format
        '''
        self.filename = filename
        self.data = GCMTCatalogue()

    def read_file(self, start_year=None, end_year=None):
        '''
        Reads the file
        '''
        raw_data = getlines(self.filename)
        num_lines = len(raw_data)
        if ((float(num_lines) / 5.) - float(num_lines / 5)) > 1E-9:
            raise IOError('GCMT represented by 5 lines - number in file not'
                          ' a multiple of 5!')
        self.data.number_gcmts = num_lines / 5
        self.data.gcmts = [None] * self.data.number_gcmts  #Pre-allocates list
        id0 = 0
        print 'Parsing catalogue ...'
        for iloc in range(0, self.data.number_gcmts):
            self.data.gcmts[iloc] = self.read_ndk_event(raw_data, id0)
            id0 += 5
        print 'complete. Contains %s moment tensors' \
            % self.data.number_events()
        if not start_year:
            self.data.start_year = self.data.gcmts[1].centroid.date.year

        if not end_year:
            self.data.end_year = self.data.gcmts[-1].centroid.date.year

        return self.data

    def read_ndk_event(self, raw_data, id0):
        '''
        Reads a 5-line batch of data into a set of GCMTs
        '''
        gcmt = GCMTEvent()
        # Get hypocentre
        ndkstring = raw_data[id0].rstrip('\n')
        gcmt.hypocentre = self._read_hypocentre_from_ndk_string(ndkstring)

        # GCMT metadata
        ndkstring = raw_data[id0 + 1].rstrip('\n')
        gcmt = self._get_metadata_from_ndk_string(gcmt, ndkstring)

        # Get Centroid
        ndkstring = raw_data[id0 + 2].rstrip('\n')
        gcmt.centroid = self._read_centroid_from_ndk_string(
            ndkstring, gcmt.hypocentre)

        # Get Moment Tensor
        ndkstring = raw_data[id0 + 3].rstrip('\n')
        gcmt.moment_tensor = self._get_moment_tensor_from_ndk_string(ndkstring)

        # Get principal axes
        ndkstring = raw_data[id0 + 4].rstrip('\n')
        gcmt.principal_axes = self._get_principal_axes_from_ndk_string(
            ndkstring[3:48], exponent=gcmt.moment_tensor.exponent)

        # Get Nodal Planes
        gcmt.nodal_planes = self._get_nodal_planes_from_ndk_string(
            ndkstring[57:])

        # Get Moment and Magnitude
        gcmt.moment, gcmt.version, gcmt.magnitude = \
            self._get_moment_from_ndk_string(ndkstring,
                                             gcmt.moment_tensor.exponent)

        return gcmt

    def _read_hypocentre_from_ndk_string(self, linestring):
        '''
        Reads the hypocentre data from the ndk string to return an
        instance of the GCMTHypocentre class
        '''
        hypo = GCMTHypocentre()
        hypo.source = linestring[0:4]
        hypo.date = _read_date_from_string(linestring[5:15])
        hypo.time = _read_time_from_string(linestring[16:26])
        hypo.latitude = float(linestring[27:33])
        hypo.longitude = float(linestring[34:41])
        hypo.depth = float(linestring[42:47])
        magnitudes = map(float, (linestring[48:55]).split(' '))
        if magnitudes[0] > 0.:
            hypo.m_b = magnitudes[0]
        if magnitudes[1] > 0.:
            hypo.m_s = magnitudes[1]
        hypo.location = linestring[56:]
        return hypo

    def _get_metadata_from_ndk_string(self, gcmt, ndk_string):
        '''
        Reads the GCMT metadata from line 2 of the ndk batch
        '''
        gcmt.identifier = ndk_string[:16]
        inversion_data = re.split('[A-Z:]+', ndk_string[17:61])
        gcmt.metadata['BODY'] = map(float, inversion_data[1].split())
        gcmt.metadata['SURFACE'] = map(float, inversion_data[2].split())
        gcmt.metadata['MANTLE'] = map(float, inversion_data[3].split())
        further_meta = re.split('[: ]+', ndk_string[62:])
        gcmt.metadata['CMT'] = int(further_meta[1])
        gcmt.metadata['FUNCTION'] = {
            'TYPE': further_meta[2],
            'DURATION': float(further_meta[3])
        }
        return gcmt

    def _read_centroid_from_ndk_string(self, ndk_string, hypocentre):
        '''
        Reads the centroid data from the ndk string to return an
        instance of the GCMTCentroid class
        :param str ndk_string:
            String of data (line 3 of ndk format)
        :param hypocentre:
            Instance of the GCMTHypocentre class
        '''
        centroid = GCMTCentroid(hypocentre.date, hypocentre.time)

        data = ndk_string[:58].split()
        centroid.centroid_type = data[0].rstrip(':')
        data = map(float, data[1:])
        time_diff = data[0]
        if fabs(time_diff) > 1E-6:
            centroid._get_centroid_time(time_diff)
        centroid.time_error = data[1]
        centroid.latitude = data[2]
        centroid.latitude_error = data[3]
        centroid.longitude = data[4]
        centroid.longitude_error = data[5]
        centroid.depth = data[6]
        centroid.depth_error = data[7]
        centroid.depth_type = ndk_string[59:63]
        centroid.centroid_id = ndk_string[64:]
        return centroid

    def _get_moment_tensor_from_ndk_string(self, ndk_string):
        '''
        Reads the moment tensor from the ndk_string and returns an instance of
        the GCMTMomentTensor class.
        By default the ndk format uses the Up, South, East (USE) reference 
        system.
        '''
        moment_tensor = GCMTMomentTensor('USE')
        tensor_data = _read_moment_tensor_from_ndk_string(ndk_string, 'USE')
        moment_tensor.tensor = tensor_data[0]
        moment_tensor.tensor_sigma = tensor_data[1]
        moment_tensor.exponent = tensor_data[2]
        return moment_tensor

    def _get_principal_axes_from_ndk_string(self, ndk_string, exponent):
        '''
        Gets the principal axes from the ndk string and returns an instance
        of the GCMTPrincipalAxes class
        '''
        axes = GCMTPrincipalAxes()
        # The principal axes is defined in characters 3:48 of the 5th line
        exponent = 10.**exponent
        axes.t_axis = {
            'eigenvalue': exponent * float(ndk_string[0:8]),
            'plunge': float(ndk_string[8:11]),
            'azimuth': float(ndk_string[11:15])
        }

        axes.b_axis = {
            'eigenvalue': exponent * float(ndk_string[15:23]),
            'plunge': float(ndk_string[23:26]),
            'azimuth': float(ndk_string[26:30])
        }

        axes.p_axis = {
            'eigenvalue': exponent * float(ndk_string[30:38]),
            'plunge': float(ndk_string[38:41]),
            'azimuth': float(ndk_string[41:])
        }
        return axes

    def _get_nodal_planes_from_ndk_string(self, ndk_string):
        '''
        Reads the nodal plane information (represented by 5th line [57:] of the
        tensor representation) and returns an instance of the GCMTNodalPlanes
        class
        '''
        planes = GCMTNodalPlanes()
        planes.nodal_plane_1 = {
            'strike': float(ndk_string[0:3]),
            'dip': float(ndk_string[3:6]),
            'rake': float(ndk_string[6:11])
        }
        planes.nodal_plane_2 = {
            'strike': float(ndk_string[11:15]),
            'dip': float(ndk_string[15:18]),
            'rake': float(ndk_string[18:])
        }
        return planes

    def _get_moment_from_ndk_string(self, ndk_string, exponent):
        '''
        Gets the moment and the moment magnitude
        '''
        moment = float(ndk_string[49:56]) * (10.**exponent)
        version = ndk_string[:3]
        magnitude = utils.moment_magnitude_scalar(moment)
        return moment, version, magnitude