def _parse_component_data(self, wfid, proc_data):
"""
Parses the information for each component
"""
filter_params = {
'Type': proc_data['comp_ordered.filter_type'],
'Order': proc_data['comp_ordered.filter_order'],
'Passes': get_int(
proc_data['comp_ordered.filter_number_of_passes']),
'NRoll': get_int(proc_data['comp_ordered.nroll']),
'High-Cut': get_float(proc_data['comp_ordered.high_cut_freq']),
'Low-Cut': get_float(proc_data['comp_ordered.low_cut_freq'])}
intensity_measures = {
# All m - convert to cm
'PGA': get_float(proc_data['comp_ordered.pga']),
'PGV': get_float(proc_data['comp_ordered.pgv']),
'PGD': get_float(proc_data['comp_ordered.pgd'])
}
for imkey in intensity_measures.keys():
if intensity_measures[imkey]:
intensity_measures[imkey] = 100.0 * intensity_measures[imkey]
comp = Component(wfid,
proc_data['comp_ordered.orientation'],
ims=intensity_measures,
longest_period=None,
waveform_filter=filter_params,
baseline=proc_data['comp_ordered.baseline_correction'])
return comp
def _parse_event_data(self, metadata):
"""
Read in the distance related metadata and return an instance of the
:class: smtk.sm_database.Earthquake
"""
metadata["MODY"] = metadata["MODY"].zfill(4)
metadata["HRMN"] = metadata["HRMN"].zfill(4)
# Date and Time
year = get_int(metadata["YEAR"])
month = get_int(metadata["MODY"][:2])
day = get_int(metadata["MODY"][2:])
hour = get_int(metadata["HRMN"][:2])
minute = get_int(metadata["HRMN"][2:])
eq_datetime = datetime(year, month, day, hour, minute)
# Event ID and Name
eq_id = metadata["EQID"]
eq_name = metadata["Earthquake Name"]
# Focal Mechanism
focal_mechanism = self._get_focal_mechanism(eq_id, eq_name, metadata)
focal_mechanism.scalar_moment = get_float(metadata["Mo (dyne.cm)"]) *\
1E-7
# Read magnitude
pref_mag = Magnitude(get_float(metadata["Earthquake Magnitude"]),
metadata["Magnitude Type"],
sigma=get_float(metadata["Uncertainty"]))
# Create Earthquake Class
eqk = Earthquake(eq_id, eq_name, eq_datetime,
get_float(metadata["Hypocenter Longitude (deg)"]),
get_float(metadata["Hypocenter Latitude (deg)"]),
get_float(metadata["Hypocenter Depth (km)"]),
pref_mag, focal_mechanism, metadata["Country"])
hypo_loc = (0.5, 0.7) # Hypocentre Location
msr = WC1994()
# Warning rake set to 0.0 in scaling relationship
area = msr.get_median_area(pref_mag.value, 0.0)
aspect_ratio = 1.5 # Assumed Fixed
width_model = np.sqrt(area / aspect_ratio)
length_model = aspect_ratio * width_model
ztor_model = eqk.depth - width_model / 2.
if ztor_model < 0:
ztor_model = 0.0
length = get_float(metadata["Fault Rupture Length (km)"])
if length is None:
length = length_model
width = get_float(metadata["Fault Rupture Width (km)"])
if width is None:
width = width_model
ztor = get_float(metadata["Depth to Top Of Fault Rupture Model"])
if ztor is None:
ztor = ztor_model
# Rupture
eqk.rupture = Rupture(eq_id, eq_name, pref_mag, length, width, ztor)
# get_float(metadata["Fault Rupture Length (km)"]),
# get_float(metadata["Fault Rupture Width (km)"]),
# get_float(metadata["Depth to Top Of Fault Rupture Model"]))
eqk.rupture.get_area()
return eqk
def _parse_distance_data(self, metadata):
"""
Parses the distance data
"""
return RecordDistance(get_float(metadata['distance_repi']),
get_float(metadata['distance_rhyp']),
rjb = get_float(metadata['distance_rjb']),
rrup = get_float(metadata['distance_rrup']),
r_x = None,
flag = get_int(metadata['distance_flag']))
def _parse_processing_data(self, wfid, metadata):
"""
Parses the information for each component
"""
filter_params1 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_int(metadata['npass']),
'NRoll': get_int(metadata['nroll']),
'High-Cut': get_float(metadata["LP-H1 (Hz)"]),
'Low-Cut': get_float(metadata["HP-H1 (Hz)"])
}
filter_params2 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_int(metadata['npass']),
'NRoll': get_int(metadata['nroll']),
'High-Cut': get_float(metadata["LP-H2 (Hz)"]),
'Low-Cut': get_float(metadata["HP-H2 (Hz)"])
}
intensity_measures = {
# All m - convert to cm
'PGA': None,
'PGV': None,
'PGD': None
}
lup1 = 1. / get_float(metadata["Lowest Usable Freq - H1 (Hz)"])
lup2 = 1. / get_float(metadata["Lowest Usable Freq - H2 (Hz)"])
xcomp = Component(wfid,
"1",
ims=intensity_measures,
longest_period=lup1,
waveform_filter=filter_params1,
units=metadata["Unit"])
ycomp = Component(wfid,
"2",
ims=intensity_measures,
longest_period=lup2,
waveform_filter=filter_params2,
units=metadata["Unit"])
return xcomp, ycomp, None
def _parse_processing_data(self, wfid, metadata):
"""
Parses the information for each component
"""
filter_params1 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]] ,
'Order': None,
'Passes': get_int(metadata['npass']),
'NRoll': get_int(metadata['nroll']),
'High-Cut': get_float(metadata["LP-H1 (Hz)"]),
'Low-Cut': get_float(metadata["HP-H1 (Hz)"])}
filter_params2 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]] ,
'Order': None,
'Passes': get_int(metadata['npass']),
'NRoll': get_int(metadata['nroll']),
'High-Cut': get_float(metadata["LP-H2 (Hz)"]),
'Low-Cut': get_float(metadata["HP-H2 (Hz)"])}
intensity_measures = {
# All m - convert to cm
'PGA': None,
'PGV': None,
'PGD': None
}
lup1 = 1. / get_float(metadata["Lowest Usable Freq - H1 (Hz)"])
lup2 = 1. / get_float(metadata["Lowest Usable Freq - H2 (Hz)"])
xcomp = Component(wfid, "1",
ims=intensity_measures,
longest_period=lup1,
waveform_filter=filter_params1,
units=metadata["Unit"])
ycomp = Component(wfid, "2",
ims=intensity_measures,
longest_period=lup2,
waveform_filter=filter_params2,
units=metadata["Unit"])
return xcomp, ycomp, None
def _validate_datetime(metadata):
"""
SARA flatfile should be formatted correctly but other flatfiles
are prone to bad datetime values - these will be overwritten
"""
return (get_int(metadata["Year"]), get_int(metadata["Month"]),
get_int(metadata["Day"]), get_int(metadata["Hour"]),
get_int(metadata["Minute"]), get_int(metadata["Second"]))
def _validate_datetime(metadata):
"""
SARA flatfile should be formatted correctly but other flatfiles
are prone to bad datetime values - these will be overwritten
"""
return (get_int(metadata["Year"]), get_int(metadata["Month"]),
get_int(metadata["Day"]), get_int(metadata["Hour"]),
get_int(metadata["Minute"]), get_int(metadata["Second"]))
def _parse_site_data(self, metadata):
"""
Parse the site data
"""
site = RecordSite(
metadata['station.oid'],
metadata['station.name'],
metadata['station.code'],
get_float(metadata['station.longitude']),
get_float(metadata['station.latitude']),
get_float(metadata['station.altitude']),
vs30=get_float(metadata['station.vs30']),
vs30_measured=get_int(metadata['station.vs30_measured']),
network_code=metadata['station.agency.name'],
country=metadata['station.country.name'])
site.vs30_measured_type = metadata['station.vs30_measured_type']
site.instrument_type = metadata['recording_type']
site.digitiser = metadata['digitalizer']
site.building_structure = metadata['station.building_struct.name']
site.number_floors = get_int(metadata['station.number_of_floor'])
site.floor = metadata['station.installed_on_floor']
site.ec8 = metadata['station.ec8']
return site
def _parse_processing_data(self, wfid, metadata):
"""
Parses the information for each component
"""
if metadata["Type of Filter"]:
filter_params1 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_positive_int(metadata['npass']),
'NRoll': get_positive_int(metadata['nroll']),
'High-Cut': get_positive_float(metadata["LP-H1 (Hz)"]),
'Low-Cut': get_positive_float(metadata["HP-H1 (Hz)"])}
filter_params2 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_positive_int(metadata['npass']),
'NRoll': get_positive_int(metadata['nroll']),
'High-Cut': get_positive_float(metadata["LP-H2 (Hz)"]),
'Low-Cut': get_positive_float(metadata["HP-H2 (Hz)"])}
else:
filter_params1, filter_params2 = None, None
intensity_measures = {
# All m - convert to cm
'PGA': None,
'PGV': None,
'PGD': None
}
luf1 = get_float(metadata["Lowest Usable Freq - H1 (Hz)"])
if luf1 and luf1 > 0.0:
lup1 = 1. / luf1
else:
lup1 = None
luf2 = get_float(metadata["Lowest Usable Freq - H2 (Hz)"])
if luf2 and luf2 > 0.0:
lup2 = 1. / luf2
else:
lup2 = None
xcomp = Component(wfid, "1",
ims=intensity_measures,
longest_period=lup1,
waveform_filter=filter_params1,
units=metadata["Unit (cm/s/s; m/s/s; g)"])
ycomp = Component(wfid, "2",
ims=intensity_measures,
longest_period=lup2,
waveform_filter=filter_params2,
units=metadata["Unit (cm/s/s; m/s/s; g)"])
luf3 = get_float(metadata["Lowest Usable Freq - V (Hz)"])
if luf3 and luf3 > 0.0:
filter_params3 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_int(metadata['npass']),
'NRoll': get_int(metadata['nroll']),
'High-Cut': get_float(metadata["LP-V (Hz)"]),
'Low-Cut': get_float(metadata["HP-V (Hz)"])}
lup3 = 1. / luf3
zcomp = Component(wfid, "V",
ims=intensity_measures,
longest_period=lup3,
waveform_filter=filter_params3,
units=metadata["Unit (cm/s/s; m/s/s; g)"])
return xcomp, ycomp, zcomp
else:
return xcomp, ycomp, None
def _parse_event(self, metadata, file_str):
"""
Parses the event metadata to return an instance of the :class:
smtk.sm_database.Earthquake
"""
months = {
'ENERO': 1,
'FEBRERO': 2,
'MARZO': 3,
'ABRIL': 4,
'MAYO': 5,
'JUNIO': 6,
'JULIO': 7,
'AGOSTO': 8,
'SEPTIEMBRE': 9,
'OCTUBURE': 10,
'NOVIEMBRE': 11,
'DICIEMBRE': 12
}
# Date and time
try: # UNAM DATES
year, month, day = (
get_int(metadata["FECHA DEL SISMO [GMT]"].split("/")[0]),
get_int(metadata["FECHA DEL SISMO [GMT]"].split("/")[1]),
get_int(metadata["FECHA DEL SISMO [GMT]"].split("/")[2]))
except: # CICESE DATES
year, month, day = (
get_int(metadata["FECHA DEL SISMO (GMT)"][-4:]),
months[metadata["FECHA DEL SISMO (GMT)"].split()[2]],
get_int(metadata["FECHA DEL SISMO (GMT)"][:2]))
# Get event time, naming is not consistent (e.g. 07.1, 00, 17,1)
for i in metadata:
if 'HORA EPICENTRO (GMT)' in i:
hour, minute, second = (
get_int(metadata[i].split(":")[0]),
get_int(metadata[i].split(":")[1]),
int(
float(metadata[i].split(":")[2].replace(
"0", "", 1).replace(",", "."))))
try:
eq_datetime = datetime(year, month, day, hour, minute, second)
except:
raise ValueError("Record %s is missing event time" % file_str)
# Event ID - No EVID, so use the date and time of the event
eq_id = str(eq_datetime).replace(" ", "_")
# Event Name
eq_name = None
# Get magnitudes, below are the different types given in ASA files
moment_mag = None
surface_mag = None
body_mag = None
c_mag = None
l_mag = None
e_mag = None
a_mag = None
m_mag = None
mag_list = []
mag = metadata["MAGNITUD(ES)"].split("/")
for i in range(0, len(mag)):
if mag[i][0:2] == "":
continue
if mag[i][0:2] == "Mw":
m_w = get_float(mag[i][3:])
moment_mag = Magnitude(m_w, "Mw")
mag_list.append(moment_mag)
if mag[i][0:2] == "Ms":
m_s = get_float(mag[i][3:])
surface_mag = Magnitude(m_s, "Ms")
mag_list.append(surface_mag)
if mag[i][0:2] == "Mb":
m_b = get_float(mag[i][3:])
body_mag = Magnitude(m_b, "Mb")
mag_list.append(body_mag)
if mag[i][0:2] == "Mc":
m = get_float(mag[i][3:])
c_mag = Magnitude(m, "Mc")
mag_list.append(c_mag)
if mag[i][0:2] == "Ml":
m = get_float(mag[i][3:])
l_mag = Magnitude(m, "Ml")
mag_list.append(l_mag)
if mag[i][0:2] == "Me" or mag[i][0:2] == "ME":
m = get_float(mag[i][3:])
e_mag = Magnitude(m, "Me")
mag_list.append(e_mag)
if mag[i][0:2] == "Ma":
m = get_float(mag[i][3:])
a_mag = Magnitude(m, "Ma")
mag_list.append(a_mag)
if mag[i][0:2] == "M=":
m = get_float(mag[i][2:])
m_mag = Magnitude(m, "M")
mag_list.append(m_mag)
# magnitude hierarchy for defining pref_mag
if moment_mag is not None:
pref_mag = moment_mag
elif surface_mag is not None:
pref_mag = surface_mag
elif body_mag is not None:
pref_mag = body_mag
elif c_mag is not None:
pref_mag = c_mag
elif l_mag is not None:
pref_mag = l_mag
elif e_mag is not None:
pref_mag = e_mag
elif a_mag is not None:
pref_mag = a_mag
elif m_mag is not None:
pref_mag = m_mag
else:
raise ValueError("Record %s has no magnitude!" % file_str)
# Get focal mechanism data (not given in ASA file)
foc_mech = FocalMechanism(eq_id,
eq_name,
None,
None,
mechanism_type=None)
# Get depths, naming is not consistent so allow for variation
for i in metadata:
if 'PROFUNDIDAD ' in i:
# assume <5km = 5km
evtdepth = get_float(re.sub('[ <>]', '', metadata[i]))
if evtdepth is None:
raise ValueError("Record %s is missing event depth" % file_str)
# Build event
eqk = Earthquake(
eq_id, eq_name, eq_datetime,
get_float(metadata["COORDENADAS DEL EPICENTRO"].split(" ")[3]),
get_float(metadata["COORDENADAS DEL EPICENTRO"].split(" ")[0]),
evtdepth, pref_mag, foc_mech)
eqk.magnitude_list = mag_list
return eqk
def _parse_event_data(self, metadata):
"""
Read in the distance related metadata and return an instance of the
:class: smtk.sm_database.Earthquake
"""
data_fields = ['Month', 'Day', 'Hour', 'Minute', 'Second']
for f in data_fields:
metadata[f] = metadata[f].zfill(2)
# Date and Time
year = get_int(metadata["Year"])
month = get_int(metadata["Month"])
day = get_int(metadata["Day"])
hour = get_int(metadata["Hour"])
minute = get_int(metadata["Minute"])
second = get_int(metadata["Second"])
eq_datetime = datetime(year, month, day, hour, minute, second)
# Event ID and Name
eq_id = metadata["EQID"]
eq_name = metadata["Earthquake Name"]
# Focal Mechanism
focal_mechanism = self._get_focal_mechanism(eq_id, eq_name, metadata)
focal_mechanism.scalar_moment = get_float(metadata["Mo (dyne.cm)"]) *\
1E-7
# Read magnitude
pref_mag = Magnitude(get_float(metadata["Magnitude"]),
metadata["Magnitude type"],
sigma=get_float(metadata["Magnitude uncertainty"]))
# Create Earthquake Class
eqk = Earthquake(eq_id, eq_name, eq_datetime,
get_float(metadata["Epicenter Longitude (deg; positive E)"]),
get_float(metadata["Epicenter Latitude (deg; positive N)"]),
get_float(metadata["Hypocenter Depth (km)"]),
pref_mag,
focal_mechanism,
metadata["Country"])
# hypocenter location
f1 = get_float(metadata[
"Along-strike Hypocenter location " +
"on the fault (fraction between 0 and 1)"])
f2 = get_float(metadata[
"Along-width Hypocenter location " +
"on the fault (fraction between 0 and 1)"])
if f1 is None or f2 is None:
hypo_loc = (0.5, 0.7)
else:
hypo_loc = (f1, f2)
evt_tectonic_region = metadata["Tectonic environment (Crustal; Inslab; Interface; Stable; Geothermal; Volcanic; Oceanic_crust)"]
if evt_tectonic_region == "Stable" or evt_tectonic_region == "Crustal":
msr=WC1994()
elif evt_tectonic_region == "Inslab":
msr=StrasserIntraslab()
elif evt_tectonic_region == "Interface":
msr=StrasserInterface()
# Warning rake set to 0.0 in scaling relationship - applies only
# to WC1994
area = msr.get_median_area(pref_mag.value, 0.0)
aspect_ratio = 1.5
width_model = np.sqrt(area / aspect_ratio)
length_model = aspect_ratio * width_model
ztor_model = eqk.depth - width_model / 2.
if ztor_model < 0:
ztor_model = 0.0
length = get_float(metadata["Fault Rupture Length (km)"])
if length is None:
length = length_model
width = get_float(metadata["Fault Rupture Width (km)"])
if width is None:
width = width_model
ztor = get_float(metadata["Depth to Top Of Fault Rupture Model"])
if ztor is None:
ztor=ztor_model
# Rupture
eqk.rupture = Rupture(eq_id,
length,
width,
ztor,
hypo_loc=hypo_loc)
# get_float(metadata["Fault Rupture Length (km)"]),
# get_float(metadata["Fault Rupture Width (km)"]),
# get_float(metadata["Depth to Top Of Fault Rupture Model"]),
# hypo_loc=hypo_loc)
eqk.rupture.get_area()
return eqk
def _parse_event_data(self, metadata):
"""
Read in the distance related metadata and return an instance of the
:class: smtk.sm_database.Earthquake
"""
metadata["MODY"] = metadata["MODY"].zfill(4)
metadata["HRMN"] = metadata["HRMN"].zfill(4)
# Date and Time
year = get_int(metadata["YEAR"])
month = get_int(metadata["MODY"][:2])
day = get_int(metadata["MODY"][2:])
hour = get_int(metadata["HRMN"][:2])
minute = get_int(metadata["HRMN"][2:])
eq_datetime = datetime(year, month, day, hour, minute)
# Event ID and Name
eq_id = metadata["EQID"]
eq_name = metadata["Earthquake Name"]
# Focal Mechanism
focal_mechanism = self._get_focal_mechanism(eq_id, eq_name, metadata)
focal_mechanism.scalar_moment = get_float(metadata["Mo (dyne.cm)"]) *\
1E-7
# Read magnitude
pref_mag = Magnitude(get_float(metadata["Earthquake Magnitude"]),
metadata["Magnitude Type"],
sigma=get_float(metadata["Uncertainty"]))
# Create Earthquake Class
eqk = Earthquake(eq_id, eq_name, eq_datetime,
get_float(metadata["Hypocenter Longitude (deg)"]),
get_float(metadata["Hypocenter Latitude (deg)"]),
get_float(metadata["Hypocenter Depth (km)"]),
pref_mag,
focal_mechanism,
metadata["Country"])
hypo_loc = (0.5, 0.7) # Hypocentre Location
msr=WC1994()
# Warning rake set to 0.0 in scaling relationship
area = msr.get_median_area(pref_mag.value,0.0)
aspect_ratio = 1.5 # Assumed Fixed
width_model = np.sqrt(area / aspect_ratio)
length_model = aspect_ratio * width_model
ztor_model = eqk.depth - width_model / 2.
if ztor_model < 0:
ztor_model = 0.0
length = get_float(metadata["Fault Rupture Length (km)"])
if length is None:
length = length_model
width = get_float(metadata["Fault Rupture Width (km)"])
if width is None:
width = width_model
ztor = get_float(metadata["Depth to Top Of Fault Rupture Model"])
if ztor is None:
ztor=ztor_model
# Rupture
eqk.rupture = Rupture(eq_id,
eq_name,
pref_mag,
length,
width,
ztor)
# get_float(metadata["Fault Rupture Length (km)"]),
# get_float(metadata["Fault Rupture Width (km)"]),
# get_float(metadata["Depth to Top Of Fault Rupture Model"]))
eqk.rupture.get_area()
return eqk
def _parse_processing_data(self, wfid, metadata):
"""
Parses the information for each component
"""
if metadata["Type of Filter"]:
filter_params1 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_positive_int(metadata['npass']),
'NRoll': get_positive_int(metadata['nroll']),
'High-Cut': get_positive_float(metadata["LP-H1 (Hz)"]),
'Low-Cut': get_positive_float(metadata["HP-H1 (Hz)"])}
filter_params2 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_positive_int(metadata['npass']),
'NRoll': get_positive_int(metadata['nroll']),
'High-Cut': get_positive_float(metadata["LP-H2 (Hz)"]),
'Low-Cut': get_positive_float(metadata["HP-H2 (Hz)"])}
else:
filter_params1, filter_params2 = None, None
intensity_measures = {
# All m - convert to cm
'PGA': None,
'PGV': None,
'PGD': None
}
luf1 = get_float(metadata["Lowest Usable Freq - H1 (Hz)"])
if luf1 and luf1 > 0.0:
lup1 = 1. / luf1
else:
lup1 = None
luf2 = get_float(metadata["Lowest Usable Freq - H2 (Hz)"])
if luf2 and luf2 > 0.0:
lup2 = 1. / luf2
else:
lup2 = None
xcomp = Component(wfid, "1",
ims=intensity_measures,
longest_period=lup1,
waveform_filter=filter_params1,
units=metadata["Unit (cm/s/s; m/s/s; g)"])
ycomp = Component(wfid, "2",
ims=intensity_measures,
longest_period=lup2,
waveform_filter=filter_params2,
units=metadata["Unit (cm/s/s; m/s/s; g)"])
luf3 = get_float(metadata["Lowest Usable Freq - V (Hz)"])
if luf3 and luf3 > 0.0:
filter_params3 = {
'Type': FILTER_TYPE[metadata["Type of Filter"]],
'Order': None,
'Passes': get_int(metadata['npass']),
'NRoll': get_int(metadata['nroll']),
'High-Cut': get_float(metadata["LP-V (Hz)"]),
'Low-Cut': get_float(metadata["HP-V (Hz)"])}
lup3 = 1. / luf3
zcomp = Component(wfid, "V",
ims=intensity_measures,
longest_period=lup3,
waveform_filter=filter_params3,
units=metadata["Unit (cm/s/s; m/s/s; g)"])
return xcomp, ycomp, zcomp
else:
return xcomp, ycomp, None
def _parse_event(self, metadata, file_str):
"""
Parses the event metadata to return an instance of the :class:
smtk.sm_database.Earthquake. Coordinates in western hemisphere
are returned as negative values.
"""
months = {'ENERO': 1, 'FEBRERO': 2, 'MARZO': 3, 'ABRIL': 4, 'MAYO': 5,
'JUNIO': 6, 'JULIO': 7, 'AGOSTO': 8, 'SEPTIEMBRE': 9,
'OCTUBURE': 10, 'NOVIEMBRE': 11, 'DICIEMBRE': 12}
months_abrev = {'ENE': 1, 'FEB': 2, 'MAR': 3, 'ABR': 4, 'MAY': 5,
'JUN': 6, 'JUL': 7, 'AGO': 8, 'SEP': 9,
'OCT': 10, 'NOV': 11, 'DIC': 12}
# Date and time
if 'CICESE' in metadata["INSTITUCION RESPONSABLE"]:
year, month, day = (
get_int(metadata["FECHA DEL SISMO (GMT)"][-4:]),
months[metadata["FECHA DEL SISMO (GMT)"].split()[2]],
get_int(metadata["FECHA DEL SISMO (GMT)"][:2]))
elif 'CIRES' in metadata["INSTITUCION RESPONSABLE"]:
year, month, day = (
get_int('20'+metadata["FECHA DEL SISMO (GMT)"][-2:]),
months_abrev[metadata["FECHA DEL SISMO (GMT)"].split('/')[1]],
get_int(metadata["FECHA DEL SISMO (GMT)"][:2]))
# UNAM data, which is not always indicated in "INSTITUCION RESPONSABLE"
else:
year, month, day = (
get_int(metadata["FECHA DEL SISMO [GMT]"].split("/")[0]),
get_int(metadata["FECHA DEL SISMO [GMT]"].split("/")[1]),
get_int(metadata["FECHA DEL SISMO [GMT]"].split("/")[2]))
# Get event time, naming is not consistent (e.g. 07.1, 00, 17,1)
for i in metadata:
if 'HORA EPICENTRO (GMT)' in i:
hour, minute, second = (get_int(metadata[i].split(":")[0]),
get_int(metadata[i].split(":")[1]),
int(float(metadata[i].split(":")[2].
replace("0", "", 1).
replace(",", "."))))
try:
eq_datetime = datetime(year, month, day, hour, minute, second)
except:
raise ValueError("Record %s is missing event time" % file_str)
# Event ID - No EVID, so use the date and time of the event
eq_id = str(eq_datetime).replace(" ", "_")
# Event Name
eq_name = None
# Get magnitudes, below are the different types given in ASA files
moment_mag = None
surface_mag = None
body_mag = None
c_mag = None
l_mag = None
e_mag = None
a_mag = None
m_mag = None
mag_list = []
mag = metadata["MAGNITUD(ES)"].split("/")
for i in range(0, len(mag)):
if mag[i][0:2] == "":
continue
if mag[i][0:2] == "Mw":
m_w = get_float(mag[i][3:])
moment_mag = Magnitude(m_w, "Mw")
mag_list.append(moment_mag)
if mag[i][0:2] == "Ms":
m_s = get_float(mag[i][3:])
surface_mag = Magnitude(m_s, "Ms")
mag_list.append(surface_mag)
if mag[i][0:2] == "Mb":
m_b = get_float(mag[i][3:])
body_mag = Magnitude(m_b, "Mb")
mag_list.append(body_mag)
if mag[i][0:2] == "Mc":
m = get_float(mag[i][3:])
c_mag = Magnitude(m, "Mc")
mag_list.append(c_mag)
if mag[i][0:2] == "Ml":
m = get_float(mag[i][3:])
l_mag = Magnitude(m, "Ml")
mag_list.append(l_mag)
if mag[i][0:2] == "Me" or mag[i][0:2] == "ME":
m = get_float(mag[i][3:])
e_mag = Magnitude(m, "Me")
mag_list.append(e_mag)
if mag[i][0:2] == "Ma":
m = get_float(mag[i][3:])
a_mag = Magnitude(m, "Ma")
mag_list.append(a_mag)
if mag[i][0:2] == "M=":
m = get_float(mag[i][2:])
m_mag = Magnitude(m, "M")
mag_list.append(m_mag)
# magnitude hierarchy for defining pref_mag
if moment_mag is not None:
pref_mag = moment_mag
elif surface_mag is not None:
pref_mag = surface_mag
elif body_mag is not None:
pref_mag = body_mag
elif c_mag is not None:
pref_mag = c_mag
elif l_mag is not None:
pref_mag = l_mag
elif e_mag is not None:
pref_mag = e_mag
elif a_mag is not None:
pref_mag = a_mag
elif m_mag is not None:
pref_mag = m_mag
else:
raise ValueError("Record %s has no magnitude!" % file_str)
# Get focal mechanism data (not given in ASA file)
foc_mech = FocalMechanism(eq_id,
eq_name,
None,
None,
mechanism_type=None)
# Get depths, naming is not consistent so allow for variation
for i in metadata:
if 'PROFUNDIDAD ' in i:
# assume <5km = 5km
evtdepth = get_float(re.sub('[ <>]', '', metadata[i]))
if evtdepth is None:
raise ValueError("Record %s is missing event depth" % file_str)
# Build event
eqk = Earthquake(
eq_id,
eq_name,
eq_datetime,
-get_float(metadata["COORDENADAS DEL EPICENTRO"].split(" ")[3]),
get_float(metadata["COORDENADAS DEL EPICENTRO"].split(" ")[0]),
evtdepth,
pref_mag,
foc_mech)
eqk.magnitude_list = mag_list
return eqk
