def ReadStnPara(self):
"""
读取redis中的台站参数信息，台站信息存入一维数组station_list，通道信息存入二维数组channel_list
"""
stn_para_key = 'StnPara'
self.station_number = int(self.r.hget(stn_para_key, "station_number"))
self.trace_list = [[Trace() for col in range(3)]
for row in range(self.station_number)]
print('++++')
print(type(self.trace_list[0][0]))
self.channel_list = [[0 for col in range(3)]
for row in range(self.station_number)]
self.station_list = [0 for col in range(self.station_number)]
# multilist = [[0 for col in range(5)] for row in range(3)] #二维数组
coordinates = AttribDict()
channel_name = [0 for col in range(3)]
for key in ['latitude', 'longitude', 'elevation']:
coordinates[key] = 0
chnNum = 0
for key in ['Z', 'E', 'N']:
channel_name[chnNum] = key
chnNum = chnNum + 1
for staNo in range(0, self.station_number):
stn_para_field = '{0:0>4}'.format(staNo)
stn_para_res = self.r.hget(stn_para_key, stn_para_field)
stn_par = stn_para_res.decode('utf-8').split()
# print(str(staNo) + str(stn_par))
stn_para_defaults = AttribDict()
stn_para_defaults['coordinates'] = AttribDict()
stn_para_defaults['coordinates'] = coordinates
stn_para_defaults['network'] = stn_par[1]
stn_para_defaults['station'] = stn_par[2]
stn_para_defaults['channel'] = stn_par[4]
stn_para_defaults['location'] = stn_par[5]
stn_para_defaults['latitude'] = float(stn_par[6])
stn_para_defaults['longitude'] = float(stn_par[7])
stn_para_defaults['elevation'] = float(stn_par[8])
stn_para_defaults['channelNum'] = int(stn_par[9])
stn_para_defaults['sampling_rate'] = int(stn_par[10])
self.station_list[staNo] = stn_para_defaults
for chnNo in range(0, self.station_list[staNo]['channelNum']):
chn_para_defaults = Stats(AttribDict())
chn_para_defaults['sampling_rate'] = self.station_list[staNo][
'sampling_rate']
chn_para_defaults['delta'] = 1.0
chn_para_defaults['calib'] = 1.0
chn_para_defaults['starttime'] = UTCDateTime(0)
chn_para_defaults['npts'] = 0
chn_para_defaults['network'] = stn_para_defaults['network']
chn_para_defaults['station'] = stn_para_defaults['station']
chn_para_defaults['channel'] = stn_para_defaults[
'channel'] + channel_name[chnNo]
chn_para_defaults['location'] = stn_para_defaults['location']
chn_para_defaults['response'] = float(stn_par[11 + chnNo])
self.channel_list[staNo][chnNo] = chn_para_defaults
def readstructtag(fid):
y = AttribDict()
data = np.fromfile(fid, structtag_dtypes, 1)
for (key, (format, size)) in structtag_dtypes.fields.items():
if str(format).count("S") != 0:
y[key] = data[key][0].decode('UTF-8')
else:
y[key] = data[key][0]
return y
def readstructtag(fid):
y = AttribDict()
# avoid passing np.intXX down to SpooledTemporaryFile.read() since it
# errors out on numpy integer types on at least Python 3.6, seems fixed in
# Python 3.7
# see https://ci.appveyor.com/project/obspy/obspy/
# builds/29252080/job/9gr8bqkgr005523n#L742
data = fid.read(int(structtag_dtypes.itemsize))
data = from_buffer(data, structtag_dtypes)
for (key, (fmt, size)) in structtag_dtypes.fields.items():
if str(fmt).count("S") != 0:
y[key] = data[key][0].decode('UTF-8')
else:
y[key] = data[key][0]
return y
def test_issue217(self):
"""
Tests issue #217.
Reading a MiniSEED file without sequence numbers and a record length of
1024.
"""
file = os.path.join(self.path, 'data',
'reclen_1024_without_sequence_numbers.mseed')
tr = read(file)[0]
ms = AttribDict({'record_length': 1024, 'encoding': 'STEIM1',
'filesize': 2048, 'dataquality': 'D',
'number_of_records': 2, 'byteorder': '>'})
self.assertEqual('XX.STF1..HHN', tr.id)
self.assertEqual(ms, tr.stats.mseed)
self.assertEqual(932, tr.stats.npts)
self.assertEqual(UTCDateTime(2007, 5, 31, 22, 45, 46, 720000),
tr.stats.endtime)
def write_stream_to_sac(str1, write_dir='data', ext='', verbose=False):
if ext != '':
ext = '.' + ext
if not os.path.isdir(write_dir):
sys.exit('No such dir to write sac', write_dir)
for tr in str1:
sac = AttribDict()
(sac.kstnm, sac.knetwk, sac.kcmpnm,
sac.khole) = (str(tr.stats.station), str(tr.stats.network),
str(tr.stats.channel), str(tr.stats.location))
(sac.stla, sac.stlo,
sac.stel) = (tr.stats.station_coordinates.latitude,
tr.stats.station_coordinates.longitude,
tr.stats.station_coordinates.elevation)
ev = tr.stats.event_origin
time = ev.time
# sac depth is in km
sac.evla, sac.evlo, sac.evdp, sac.mag = ev.latitude, ev.longitude, ev.depth / 1000., tr.stats.event_mag.mag
sac.evla, sac.evlo, sac.evdp, sac.mag = ev.latitude, ev.longitude, ev.depth / 1000., tr.stats.event_mag.mag
# sac uses millisec while obspy uses microsec.
sac.nzyear, sac.nzjday, sac.nzhour, sac.nzmin, sac.nzsec, sac.nzmsec = time.year, time.julday, time.hour, time.minute, time.second, time.microsecond / 1000
sac.o = 0.
sac.b = tr.stats.starttime - time # this is very important!!
sac.kevnm = str(time)
# dip is from horizontal downward; inc is from vertical downward
# in SAC component "incidence angle" relative to the vertical
sac.cmpaz, sac.cmpinc = tr.stats.cmpaz, tr.stats.dip + 90
sac.gcarc, sac.dist, sac.az, sac.baz = tr.stats.gcarc, tr.stats.distance / 1000, tr.stats.azimuth, tr.stats.back_azimuth
# traveltimes
sac.a = tr.stats.Parr.arrival_time
sac.ka = 'P' # cannot add S time because user1 is assigned to ray parameter
# the ray parameter required by hk code is in sin(th)/v
(sac.user0, sac.user1) = (tr.stats.Parr.rayp / radiusOfEarth,
tr.stats.Sarr.rayp / radiusOfEarth)
# add sac header to tr.stats
tr.stats.sac = sac
# set sac file name
tr_name = write_dir + '/' + tr.stats.station + '.' + tr.stats.network + '.' + tr.stats.location + '.' + tr.stats.channel + ext + '.sac'
tr.write(tr_name, format='SAC')
if verbose:
print('Writing sac file ...' + tr_name)
def test_issue160(self):
"""
Tests issue #160.
Reading the header of SEED file.
"""
file = os.path.join(self.path, 'data',
'BW.BGLD.__.EHE.D.2008.001.first_10_records')
tr_one = read(file)[0]
tr_two = read(file, headonly=True)[0]
ms = AttribDict({'record_length': 512, 'encoding': 'STEIM1',
'filesize': 5120, 'dataquality': 'D',
'number_of_records': 10, 'byteorder': '>'})
for tr in tr_one, tr_two:
self.assertEqual('BW.BGLD..EHE', tr.id)
self.assertEqual(ms, tr.stats.mseed)
self.assertEqual(4120, tr.stats.npts)
self.assertEqual(UTCDateTime(2008, 1, 1, 0, 0, 20, 510000),
tr.stats.endtime)
def stream_add_stats(data_stream,inv,evt,write_sac=False,rotate_in_obspy=False):
for net in inv:
for sta in net:
str1=data_stream.select(network=net.code,station=sta.code)
print(str(net.code),str(sta.code),len(str1))
if len(str1) == 0:
continue
# update in future to deal with multiple channel (total_number_of channels)
if len(str1) % 3 !=0:
print('Problem: missing components', str1); exit()
for tr in str1:
for chan in sta:
if tr.stats.channel == chan.code and tr.stats.location == chan.location_code:
break
else:
print('Problem finding channel in inventory',tr); exit()
tr.stats.coordinates={'latitude':chan.latitude,'longitude':chan.longitude}
(tr.stats.distance,tr.stats.azimuth,tr.stats.back_azimuth)=gps2dist_azimuth(
chan.latitude, chan.longitude, evt.origins[0].latitude, evt.origins[0].longitude)
if write_sac==True:
sac= AttribDict()
sac.kstnm=str(sta.code);
sac.knetwk=str(net.code);
sac.kcmpnm=str(chan.code)
sac.khole=str(chan.location_code)
sac.stla=chan.latitude; sac.stlo=chan.longitude; sac.stel=chan.elevation
sac.evla=evt.origins[0].latitude; sac.evlo=evt.origins[0].longitude;
sac.evdp=evt.origins[0].depth/1000. # in km
sac.mag=evt.magnitudes[0].mag; time=evt.origins[0].time
sac.nzyear, sac.nzjday, sac.nzhour, sac.nzmin, sac.nzsec, sac.nzmsec=time.year, time.julday, time.hour, time.minute, time.second, time.microsecond/1000
sac.o=0.
sac.b=tr.stats.starttime-time # this is very important!!
sac.kevnm=str(time)
sac.cmpaz=chan.azimuth
# dip is from horizontal downward; inc is from vertical downward
sac.cmpinc=chan.dip+90
sac.gcarc = locations2degrees(evt.origins[0].latitude, evt.origins[0].longitude, chan.latitude, chan.longitude)
sac.dist,sac.az,sac.baz= tr.stats.distance/1000,tr.stats.azimuth,tr.stats.back_azimuth
tr.stats.sac=sac
tr_name=sta.code+'.'+net.code+'.'+chan.location_code+'.'+chan.code+'.sac'
tr.write(tr_name,format='SAC')
def _read_dmx(filename, head_only=None, **kwargs):
station = None
if "station" in kwargs:
station = kwargs["station"]
traces = []
with open(filename, "rb") as fid:
content = fid.read()
with SpooledTemporaryFile(mode='w+b') as fid:
fid.write(content)
fid.seek(0)
while fid.read(12): # we require at least 1 full structtag
fid.seek(-12, 1)
structtag = readstructtag(fid)
if structtag.id_struct == 7:
descripttrace = readdescripttrace(fid)
if station is None or descripttrace.st_name.strip() == station:
data = readdata(fid, descripttrace.length,
descripttrace.datatype)
tr = Trace(data=np.asarray(data))
tr.stats.network = descripttrace.network.strip()
tr.stats.station = descripttrace.st_name.strip()
tr.stats.channel = descripttrace.component
tr.stats.sampling_rate = descripttrace.rate
tr.stats.starttime = UTCDateTime(descripttrace.begintime)
tr.stats.dmx = AttribDict({
"descripttrace": descripttrace,
"structtag": structtag
})
traces.append(tr)
else:
fid.seek(int(structtag.len_data), 1)
else:
fid.seek(
int(structtag.len_struct) + int(structtag.len_data), 1)
st = Stream(traces=traces)
# print(st)
return st
def keep_longest(stream):
"""
keeps the longest record of each channel
"""
st_tmp = Stream()
st_tmp.sort(['npts'])
channels = AttribDict()
for i, tr in enumerate(stream):
if tr.stats.channel in channels:
continue
else:
# Append the name of channel, samplingpoints and number of trace
channels[tr.stats.channel] = [tr.stats.npts, i]
st_tmp.append(stream[i])
stream = st_tmp
return stream
def cut_events(in_, out):
print 'read events...'
catalog = readEvents(in_, 'QUAKEML')
print 'cut events...'
for event in ProgressBar()(catalog):
oid = get_event_id(event.origins[0].resource_id.getQuakeMLURI())
ori = event.origins[0]
etime = ori.time
#print 'Select', event
st = Stream()
for arrival in ori.arrivals:
arrival.pick_id.convertIDToQuakeMLURI()
pick = arrival.pick_id.getReferredObject()
if not pick:
print 'FAIL to get pick from arrival'
continue
ptime = pick.time
seed_id = pick.waveform_id.getSEEDString()
try:
st1 = Stream(
data.client.getWaveform(*(seed_id.split('.') +
[ptime - 50, ptime + 250])))
except Exception as ex:
print '%s for %s' % (ex, seed_id)
continue
st1.merge()
#print 'load %s %s %.1f' % (seed_id, pick.phase_hint, ptime - etime)
st1[0].stats['event'] = AttribDict(
id=event.resource_id.resource_id,
origin_id=oid,
etime=etime,
ptime=ptime,
lat=ori.latitude,
lon=ori.longitude,
depth=ori.depth,
rms=ori.quality.standard_error,
mag=event.magnitudes[0].mag)
st += st1
st.write(out % oid, 'Q')
def gauge2sac(gauge_file,dictionary,xyfile,outdir,time_epi,dt):
'''
Convert output from fort.gauge file intop individual sac files
'''
from numpy import genfromtxt,unique,where,arange,interp
from obspy import Stream,Trace
from obspy.core.util.attribdict import AttribDict
#Read gauge file
gauges=genfromtxt(gauge_file)
#Read names
plume_name=genfromtxt(dictionary,usecols=0,dtype='S')
claw_name=genfromtxt(dictionary,usecols=1)
lat=genfromtxt(xyfile,usecols=2)
lon=genfromtxt(xyfile,usecols=3)
#Find unique stations
gauge_list=unique(gauges[:,0])
for k in range(len(gauge_list)):
print k
st=Stream(Trace())
i=where(gauges[:,0]==gauge_list[k])[0]
data=gauges[i,6]
time=gauges[i,2]
ti=arange(0,time.max(),dt)
tsunami=interp(ti,time,data)
st[0].data=tsunami
st[0].stats.starttime=time_epi
st[0].stats.delta=dt
iname=where(claw_name==gauge_list[k])[0][0]
st[0].stats.station=plume_name[iname]
sac=AttribDict()
sac.stla=lat[iname]
sac.stlo=lon[iname]
sac.evla=46.607
sac.evlo=153.230
#sac.iztype='IO'
st[0].stats['sac']=sac
st.write(outdir+'/'+plume_name[iname]+'.tsun.sac',format='SAC')
def __init__(self):
self.config = AttribDict()
self.events = events.ses3dCatalog()
self.stalst = stations.StaLst()
# self.vmodel
return
def _unpack_trace(data):
ah_stats = AttribDict({
'version': '2.0',
'event': AttribDict(),
'station': AttribDict(),
'record': AttribDict(),
'extras': []
})
# station info
data.unpack_int() # undocumented extra int?
ah_stats.station.code = _unpack_string(data)
data.unpack_int() # here too?
ah_stats.station.channel = _unpack_string(data)
data.unpack_int() # and again?
ah_stats.station.type = _unpack_string(data)
ah_stats.station.recorder = _unpack_string(data)
ah_stats.station.sensor = _unpack_string(data)
ah_stats.station.azimuth = data.unpack_float() # degrees E from N
ah_stats.station.dip = data.unpack_float() # up = -90, down = +90
ah_stats.station.latitude = data.unpack_double()
ah_stats.station.longitude = data.unpack_double()
ah_stats.station.elevation = data.unpack_float()
ah_stats.station.gain = data.unpack_float()
ah_stats.station.normalization = data.unpack_float() # A0
npoles = data.unpack_int()
ah_stats.station.poles = []
for _i in range(npoles):
r = data.unpack_float()
i = data.unpack_float()
ah_stats.station.poles.append(complex(r, i))
nzeros = data.unpack_int()
ah_stats.station.zeros = []
for _i in range(nzeros):
r = data.unpack_float()
i = data.unpack_float()
ah_stats.station.zeros.append(complex(r, i))
ah_stats.station.comment = _unpack_string(data)
# event info
ah_stats.event.latitude = data.unpack_double()
ah_stats.event.longitude = data.unpack_double()
ah_stats.event.depth = data.unpack_float()
ot_year = data.unpack_int()
ot_mon = data.unpack_int()
ot_day = data.unpack_int()
ot_hour = data.unpack_int()
ot_min = data.unpack_int()
ot_sec = data.unpack_float()
try:
ot = UTCDateTime(ot_year, ot_mon, ot_day, ot_hour, ot_min, ot_sec)
except:
ot = None
ah_stats.event.origin_time = ot
data.unpack_int() # and again?
ah_stats.event.comment = _unpack_string(data)
# record info
ah_stats.record.type = dtype = data.unpack_int() # data type
ah_stats.record.ndata = ndata = data.unpack_uint() # number of samples
ah_stats.record.delta = data.unpack_float() # sampling interval
ah_stats.record.max_amplitude = data.unpack_float()
at_year = data.unpack_int()
at_mon = data.unpack_int()
at_day = data.unpack_int()
at_hour = data.unpack_int()
at_min = data.unpack_int()
at_sec = data.unpack_float()
at = UTCDateTime(at_year, at_mon, at_day, at_hour, at_min, at_sec)
ah_stats.record.start_time = at
ah_stats.record.units = _unpack_string(data)
ah_stats.record.inunits = _unpack_string(data)
ah_stats.record.outunits = _unpack_string(data)
data.unpack_int() # and again?
ah_stats.record.comment = _unpack_string(data)
data.unpack_int() # and again?
ah_stats.record.log = _unpack_string(data)
# user attributes
nusrattr = data.unpack_int()
ah_stats.usrattr = {}
for _i in range(nusrattr):
key = _unpack_string(data)
value = _unpack_string(data)
ah_stats.usrattr[key] = value
# unpack data using dtype from record info
if dtype == 1:
# float
temp = data.unpack_farray(ndata, data.unpack_float)
elif dtype == 6:
# double
temp = data.unpack_farray(ndata, data.unpack_double)
else:
# e.g. 3 (vector), 2 (complex), 4 (tensor)
msg = 'Unsupported AH v2 record type %d'
raise NotImplementedError(msg % (dtype))
tr = Trace(np.array(temp))
tr.stats.ah = ah_stats
tr.stats.delta = ah_stats.record.delta
tr.stats.starttime = ah_stats.record.start_time
tr.stats.station = ah_stats.station.code
tr.stats.channel = ah_stats.station.channel
return tr
def _unpack_trace(data):
ah_stats = AttribDict({
'version': '1.0',
'event': AttribDict(),
'station': AttribDict(),
'record': AttribDict(),
'extras': []
})
# station info
ah_stats.station.code = _unpack_string(data)
ah_stats.station.channel = _unpack_string(data)
ah_stats.station.type = _unpack_string(data)
ah_stats.station.latitude = data.unpack_float()
ah_stats.station.longitude = data.unpack_float()
ah_stats.station.elevation = data.unpack_float()
ah_stats.station.gain = data.unpack_float()
ah_stats.station.normalization = data.unpack_float() # A0
poles = []
zeros = []
for _i in range(0, 30):
r = data.unpack_float()
i = data.unpack_float()
poles.append(complex(r, i))
r = data.unpack_float()
i = data.unpack_float()
zeros.append(complex(r, i))
# first value describes number of poles/zeros
npoles = int(poles[0].real) + 1
nzeros = int(zeros[0].real) + 1
ah_stats.station.poles = poles[1:npoles]
ah_stats.station.zeros = zeros[1:nzeros]
# event info
ah_stats.event.latitude = data.unpack_float()
ah_stats.event.longitude = data.unpack_float()
ah_stats.event.depth = data.unpack_float()
ot_year = data.unpack_int()
ot_mon = data.unpack_int()
ot_day = data.unpack_int()
ot_hour = data.unpack_int()
ot_min = data.unpack_int()
ot_sec = data.unpack_float()
try:
ot = UTCDateTime(ot_year, ot_mon, ot_day, ot_hour, ot_min, ot_sec)
except:
ot = None
ah_stats.event.origin_time = ot
ah_stats.event.comment = _unpack_string(data)
# record info
ah_stats.record.type = dtype = data.unpack_int() # data type
ah_stats.record.ndata = ndata = data.unpack_uint() # number of samples
ah_stats.record.delta = data.unpack_float() # sampling interval
ah_stats.record.max_amplitude = data.unpack_float()
at_year = data.unpack_int()
at_mon = data.unpack_int()
at_day = data.unpack_int()
at_hour = data.unpack_int()
at_min = data.unpack_int()
at_sec = data.unpack_float()
at = UTCDateTime(at_year, at_mon, at_day, at_hour, at_min, at_sec)
ah_stats.record.start_time = at
ah_stats.record.abscissa_min = data.unpack_float()
ah_stats.record.comment = _unpack_string(data)
ah_stats.record.log = _unpack_string(data)
# extras
ah_stats.extras = data.unpack_array(data.unpack_float)
# unpack data using dtype from record info
if dtype == 1:
# float
temp = data.unpack_farray(ndata, data.unpack_float)
elif dtype == 6:
# double
temp = data.unpack_farray(ndata, data.unpack_double)
else:
# e.g. 3 (vector), 2 (complex), 4 (tensor)
msg = 'Unsupported AH v1 record type %d'
raise NotImplementedError(msg % (dtype))
tr = Trace(np.array(temp))
tr.stats.ah = ah_stats
tr.stats.delta = ah_stats.record.delta
tr.stats.starttime = ah_stats.record.start_time
tr.stats.station = ah_stats.station.code
tr.stats.channel = ah_stats.station.channel
return tr
def txt2sac(txt,output_dir = os.getcwd()):
''' This function will convert txt file to SAC file'''
with open(txt,encoding='iso-8859-9') as eqfile:
if os.stat(txt).st_size == 0:
print(txt + ' is empty')
return
head = [next(eqfile) for x in range(14)]
head = [line.rstrip('\n') for line in head]
hd = AttribDict()
hd['sac'] = AttribDict()
# Retrieve Event Information
# Retrieve EventTime
s = ''.join(i for i in head[2] if i.isdigit())
evtime = datetime.strptime(s, '%Y%m%d%H%M%S%f')
# Retrieve EVLA, EVLO
_,coors = head[3].split(':')
# Remove space, N and E
coors = coors.replace(' ','')
coors = coors.replace('N','')
coors = coors.replace('E','')
evla,evlo = coors.split('-')
hd['sac'].evla = float(evla.replace(',','.')); hd['sac'].evlo = float(evlo.replace(',','.'))
# Retrieve EVDP
_,depth = head[4].split(':')
evdp = depth.replace(' ','')
hd['sac'].evdp = float(evdp)
# Retrieve MAG
_,mags = head[5].split(':')
# Check if multiple Magnitude types are associated with the earthquake
if ',' in mags:
mag,imagtyp = mag_seperator(mags)
hd['sac'].imagtyp = imagtyp
else:
_, mag,imagtyp = mags.split(' ')
hd['sac'].imagtyp = mag_type(imagtyp)
hd['sac'].mag = float(mag.replace(',','.'))
# Retrieve Station Information
# Assign Network
hd['network'] = 'TK'
# Assing Location
hd['location'] = 00
# Retrieve KSTNM
_,stnm = head[6].split(':')
kstnm = stnm.replace(' ','')
hd['station'] = kstnm
# Retrieve STLA, STLO
_,coors = head[7].split(':')
# Remove space, N and E
coors = coors.replace(' ','')
coors = coors.replace('N','')
coors = coors.replace('E','')
stla,stlo = coors.split('-')
hd['sac'].stla = float(stla.replace(',','.')); hd['sac'].stlo = float(stlo.replace(',','.'))
# Retrieve STEL
_,el = head[8].split(':')
stel = el.replace(' ','')
hd['stel'] = float(stel.replace(',','.'))
# Retrieve Record Information
# Retrieve Recordtime
s = ''.join(i for i in head[11] if i.isdigit())
starttime = datetime.strptime(s, '%d%m%Y%H%M%S%f')
hd['starttime'] = UTCDateTime(starttime)
hd['sac'].o = UTCDateTime(starttime) - UTCDateTime(evtime)
# Retrieve NPTS
_,nptss = head[12].split(':')
npts = nptss.replace(' ','')
hd['npts'] = int(npts)
# Retrieve DELTA
_,dt = head[13].split(':')
delta = dt.replace(' ','')
hd['delta'] = float(delta.replace(',','.'))
hd['sampling_rate'] = 1/hd['delta']
hd['endtime'] = hd['starttime'] + hd['npts']*hd['delta']
hd['sac'].lcalda = 1; hd['sac'].lovrok = 1
eqfile.close()
# Read Waveform
with open(txt,encoding='iso-8859-9') as eqfile:
wfs = eqfile.readlines()[18:]
wfs = [line.rstrip('\n') for line in wfs]
wfs = [line.split(' ') for line in wfs]
wfs = [list(filter(None, line)) for line in wfs]
e = []; n = []; z = [];
for line in wfs:
n.append(line[0])
e.append(line[1])
z.append(line[2])
#East
tracee = Trace(np.asarray(e))
hd['channel'] = 'HGE'
tracee.stats = hd
st = Stream(traces=[tracee])
st.write(os.path.join(output_dir,st[0].id + '.SAC'), format='SAC')
#North
tracen = Trace(np.asarray(n))
hd['channel'] = 'HGN'
tracen.stats = hd
st = Stream(traces=[tracen])
st.write(os.path.join(output_dir,st[0].id + '.SAC'), format='SAC')
#Vertical
tracez = Trace(np.asarray(z))
hd['channel'] = 'HGZ'
tracez.stats = hd
st = Stream(traces=[tracez])
st.write(os.path.join(output_dir,st[0].id + '.SAC'), format='SAC')
return
def get_syngine_data(model,
client=None,
reclat=None,
reclon=None,
inv=None,
eventid=None,
origins=None,
m_tensor=None,
source_dc=None):
"""
param reclat:
type reclat: list of floats
param reclon:
type reclon: list of floats
"""
if client:
client = fdsnClient(client)
synclient = synClient()
if inv:
streams = AttribDict()
for network in inv:
stream = obspy.Stream()
for station in network:
print(station)
if eventid:
stream_tmp = synclient.get_waveforms(model=model,
network=network.code,
station=station.code,
eventid=eventid)
else:
stream_tmp = synclient.get_waveforms(
model=model,
network=network.code,
station=station.code,
origintime=origins.time,
sourcelatitude=origins.latitude,
sourcelongitude=origins.longitude,
sourcedepthinmeters=origins.depth,
sourcemomenttensor=m_tensor,
sourcedoublecouple=source_dc)
stream.append(stream_tmp[0])
streams[network.code] = stream
if reclat and reclon:
stream = obspy.Stream()
for rlat, rlon in zip(reclat, reclon):
if eventid:
stream_tmp = synclient.get_waveforms(model=model,
receiverlatitude=rlat,
receiverlongitude=rlon,
eventid=eventid)
else:
stream_tmp = synclient.get_waveforms(
model=model,
receiverlatitude=rlat,
receiverlongitude=rlon,
origintime=origins.time,
sourcelatitude=origins.latitude,
sourcelongitude=origins.longitude,
sourcedepthinmeters=origins.depth,
sourcemomenttensor=m_tensor,
sourcedoublecouple=source_dc)
stream.append(stream_tmp[0])
streams = stream
if origins:
starttime = origins.time - 120
endtime = starttime + 120
if client:
cat = client.get_events(starttime,
endtime,
minlatitude=origins.latitude - .5,
maxlatitude=origins.latitude + .5)
else:
cat = None
else:
cat = None
return streams, cat
def RGF_from_SW4(path_to_green=".",
t0=0,
file_name=None,
origin_time=None,
event_lat=None,
event_lon=None,
depth=None,
station_name=None,
station_lat=None,
station_lon=None,
output_directory="sw4out"):
"""
Function to convert reciprocal Green's functions from SW4 to tensor format
Reads the reciprocal Green's functions (displacement/unit force) from SW4 and
performs the summation to get the Green's function tensor.
RGFs from SW4 are oriented north, east and positive down by setting az=0.
Assumes the following file structure:
f[x,y,z]/station_name/event_name.[x,y,z]
"""
import os
from obspy.core import read, Stream
from obspy.geodetics.base import gps2dist_azimuth
from obspy.core.util.attribdict import AttribDict
# Defined variables (do not change)
dirs = ["fz", "fx", "fy"] # directory to displacement per unit force
du = [
"duxdx", "duydy", "duzdz", "duydx", "duxdy", "duzdx", "duxdz", "duzdy",
"duydz"
]
orientation = ["Z", "N", "E"] # set az=0 in SW4 so x=north, y=east
cmpaz = [0, 0, 90]
cmpinc = [0, 90, 90]
# Create a new output directory under path_to_green
dirout = "%s/%s" % (path_to_green, output_directory)
if os.path.exists(dirout):
print("Warning: output directory '%s' already exists." % dirout)
else:
print("Creating output directory '%s'." % dirout)
os.mkdir(dirout)
# Loop over each directory fx, fy, fz
nsta = len(station_name)
for i in range(3):
# Set headers according to the orientation
if dirs[i][-1].upper() == "Z":
scale = -1 # change to positive up
else:
scale = 1
# Loop over each station
for j in range(nsta):
station = station_name[j]
stlo = station_lon[j]
stla = station_lat[j]
dirin = "%s/%s/%s" % (path_to_green, dirs[i], station)
print("Reading RGFs from %s:" % (dirin))
st = Stream()
for gradient in du:
fname = "%s/%s.%s" % (dirin, file_name, gradient)
st += read(fname, format="SAC")
# Set station headers
starttime = origin_time - t0
dist, az, baz = gps2dist_azimuth(event_lat, event_lon, stla, stlo)
# SAC headers
sacd = AttribDict()
sacd.stla = stla
sacd.stlo = stlo
sacd.evla = event_lat
sacd.evlo = event_lon
sacd.az = az
sacd.baz = baz
sacd.dist = dist / 1000 # convert to kilometers
sacd.o = 0
sacd.b = -1 * t0
sacd.cmpaz = cmpaz[i]
sacd.cmpinc = cmpinc[i]
sacd.kstnm = station
# Update start time
for tr in st:
tr.stats.starttime = starttime
tr.stats.distance = dist
tr.stats.back_azimuth = baz
# Sum displacement gradients to get reciprocal Green's functions
tensor = Stream()
for gradient, element in zip(["duxdx", "duydy", "duzdz"],
["XX", "YY", "ZZ"]):
trace = st.select(channel=gradient)[0].copy()
trace.stats.channel = "%s%s" % (orientation[i], element)
tensor += trace
trace = st.select(channel="duydx")[0].copy()
trace.data += st.select(channel="duxdy")[0].data
trace.stats.channel = "%s%s" % (orientation[i], "XY")
tensor += trace
trace = st.select(channel="duzdx")[0].copy()
trace.data += st.select(channel="duxdz")[0].data
trace.stats.channel = "%s%s" % (orientation[i], "XZ")
tensor += trace
trace = st.select(channel="duzdy")[0].copy()
trace.data += st.select(channel="duydz")[0].data
trace.stats.channel = "%s%s" % (orientation[i], "YZ")
tensor += trace
# Set sac headers before saving
print(" Saving GFs to %s" % dirout)
for tr in tensor:
tr.trim(origin_time, tr.stats.endtime)
tr.data = scale * tr.data
tr.stats.sac = sacd
sacout = "%s/%s.%.4f.%s" % (dirout, station, depth,
tr.stats.channel)
#print("Writing %s to file."%sacout)
tr.write(sacout, format="SAC")