import numpy as np
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
iris = Client("IRIS")
t2 = UTCDateTime.now()
t1 = t2 - timedelta(days=30)
cat = Catalog()
cat2 = Catalog()
try:
cat += iris.get_events(starttime=t1,
endtime=t2,
latitude=YOUR_LATITUDE,
longitude=YOUR_LONGITUDE,
maxradius=15)
except:
pass
try:
cat2 += iris.get_events(starttime=t1, endtime=t2, minmagnitude=6)
except:
pass
print(cat.__str__(print_all=True))
print(cat2.__str__(print_all=True))
cat.write('evtlocal30days.xml', format='QUAKEML')
cat2.write('evtmajor30days.xml', format='QUAKEML')
from obspy.clients.fdsn.client import Client
import obspy
client = Client('IRIS')
starttime = obspy.core.utcdatetime.UTCDateTime('2011-12-01')
endtime = obspy.core.utcdatetime.UTCDateTime('2011-12-31')
cat = client.get_events(starttime=starttime,
endtime=endtime,
minmagnitude=5.5,
catalog='ISC',
magnitudetype='mb')
cat
def test_to_pyrocko_events(self):
from obspy.clients.fdsn.client import Client
client = Client('IRIS')
cat = client.get_events(eventid=609301)
events = cat.to_pyrocko_events()
self.assertEqual(len(events), len(cat))
sds = Client_SDS(cfg.sds_url)
logging.info("Retrieving event's info...")
# get events info
# catalog object is returned and
# the first element -event object- is retrieved
# get the event between 1 second from
# the input event time
# if two events occur between 1 second
# it will just get the first one
event = fdsn.get_events(
starttime=date,
#endtime=date+1,
minmagnitude=cfg.mag_thres,
magnitudetype="MLh",
includeallorigins=False,
includeallmagnitudes=False,
includearrivals=True,
orderby="time-asc",
limit=1)[0]
# the requested time window
# of which start time is set 'timewindow_start' minutes before the Origin
# and end time is set 'timewindow_end' minutes after the Origin
starttime = event.origins[0].time - cfg.timewindow_start #sec
endtime = event.origins[0].time + cfg.timewindow_end #sec
# select those picks with stations
# that have been not been excluded
# picks/stations are sorted in ascending order of pick time
picks=filter(lambda pick: not pick.waveform_id['station_code'] \
def preprocess():
"""
This script preprocesses the MSEED files in the input directories
specified in the input file.
"""
# Create output directory, if necessary
outdir = os.path.join('data','processed')
if rank == 0 and not os.path.exists(outdir):
os.mkdir(outdir)
if rank == 0 and cfg.verbose:
print(cfg.__dict__)
comm.Barrier()
event_filter = None
if cfg.gcmt_exclude:
if rank == 0:
c = Client()
cata = c.get_events(starttime=UTCDateTime(cfg.gcmt_begin),
endtime=UTCDateTime(cfg.gcmt_end),catalog='GCMT',
minmagnitude=5.6)
event_filter = get_event_filter(cata,cfg.Fs_new[-1],
t0=UTCDateTime(cfg.gcmt_begin),
t1=UTCDateTime(cfg.gcmt_end))
# communicate event_filter (would it be better
# if every rank sets it up individually?)
event_filter = comm.bcast(event_filter,root=0)
if cfg.event_exclude_local_cat:
local_cat = Catalog()
if rank == 0:
c = Client()
local_cat.extend(c.get_events(
starttime=UTCDateTime(cfg.event_exclude_local_cat_begin),
endtime=UTCDateTime(cfg.event_exclude_local_cat_end),
#catalog=catalog,
minmagnitude=cfg.event_exclude_local_cat_minmag,
latitude=cfg.event_exclude_local_cat_lat,
longitude=cfg.event_exclude_local_cat_lon,
maxradius=cfg.event_exclude_local_cat_radius))
print(len(local_cat),"events in local earthquake catalog.")
# communicate event_filter (would it be better
# if every rank sets it up individually?)
local_cat = comm.bcast(local_cat,root=0)
# Create own output directory, if necessary
rankdir = os.path.join(outdir,
'rank_%g' %rank)
if not os.path.exists(rankdir):
os.mkdir(rankdir)
#- Find input files
content = find_files(cfg.input_dirs,
cfg.input_format)
if rank==0:
print(len(content), "files found")
#print(content)
# processing report file
sys.stdout.flush()
output_file = os.path.join(rankdir,
'processing_report_rank%g.txt' %rank)
if os.path.exists(output_file):
ofid = open(output_file,'a')
print('UPDATING, Date:',file=ofid)
print(time.strftime('%Y.%m.%dT%H:%M'),file=ofid)
else:
ofid = open(output_file,'w')
print('PROCESSING, Date:',file=ofid)
print(time.strftime('%Y.%m.%dT%H:%M'),file=ofid)
# select input files for this rank
content = content[rank::size]
if cfg.testrun: # Only 3 files randomly selected
indices = randint(0,len(content),3)
content = [content[j] for j in indices]
# Loop over input files
for filepath in content:
print('-------------------------------------',file=ofid)
print('Attempting to process:',file=ofid)
print(os.path.basename(filepath),file=ofid)
try:
prstr = PrepStream(filepath,ofid)
except:
print('** Problem opening file, skipping: ',file=ofid)
print('** %s' %filepath,file=ofid)
continue
if len(prstr.stream) == 0:
print('** No data in file, skipping: ',file=ofid)
print('** %s' %filepath,file=ofid)
continue
try:
prstr.prepare(cfg)
except:
print('** Problems preparing stream: ',file=ofid)
print('** %s' %filepath,file=ofid)
continue
try:
prstr.process(cfg,event_filter,local_cat)
except:
print('** Problems processing stream: ',file=ofid)
print('** %s' %filepath,file=ofid)
continue
try:
prstr.write(rankdir,cfg)
except:
print('** Problems writing stream: ',file=ofid)
print('** %s' %filepath,file=ofid)
ofid.flush()
ofid.close()
print("Rank %g has completed processing."
%rank,file=None)
try:
os.system('mv '+rankdir+'/* '+outdir)
except:
pass
os.system('rmdir '+rankdir)
t2 = UTCDateTime.now()
t2str = t2.strftime('%Y-%m-%d %H:%M UTC')
t1 = t2 - timedelta(days=DURATION)
cat = Catalog()
nrcat = Catalog()
cat2 = Catalog()
####### LOCAL ########
try:
print('%s%% - Getting local earthquakes within %s degrees from IRIS...' %
(p2, LOCAL_RADIUS))
cat += iris.get_events(starttime=t1,
endtime=t2,
latitude=YOUR_LATITUDE,
longitude=YOUR_LONGITUDE,
minmagnitude=LOCAL_MAG,
maxradius=LOCAL_RADIUS)
for evt in cat:
evt['event_descriptions'][0]['text'] = TitleCase(
evt['event_descriptions'][0]['text'].split('/')[0])
try:
evt['magnitudes'][0]['creation_info']['author'] = evt['origins'][
0]['creation_info']['author'].split(',')[0]
except TypeError as e:
au = evt['origins'][0]['creation_info']['author'].split(',')[0]
tm = evt['origins'][0]['time']
evt['magnitudes'][0]['creation_info'] = CreationInfo(author=au,
time=tm)
print(
"%s%% - Warning: manually assigned a quake CreationInfo (author: %s, time: %s)"
class Downloader:
def __init__(self,df,station,outdir):
self.station = station
self.data = df
self.out = outdir
# self.summary = [] # list to hold all tr_ids
# print(self.data)
# Resets indexing of DataFrame
# print('{}/{}_downloaded_streams.txt'.format(outdir,outdir.split('/')[-1]))
try:
#print('Make /Users/ja17375/Shear_Wave_Splitting/Data/SAC_files/{}'.format(station))
os.mkdir('{}/{}'.format(self.out,station))
except FileExistsError:
print('It already exists, Hooray! Less work for me!')
# pass
# Made
#self.outfile = open('/Users/ja17375/Shear_Wave_Splitting/Data/SAC_files/{}/{}_downloaded_streams_Jacks_Split.txt'.format(station,station),'w+')
self.attempts = 0 #Counter for how many attempted downloads there were
self.fdsnx = 0 #Counter for how many attempts hit a FDSNNoDataException
self.dwn = 0 #Counter for how many events were downloaded
self.ex = 0 #Counter for how many event already exist in filesystem and therefore werent downloaded
self.ts = 0 #Counter for events who;s traces are too short.
self.fdsnclient_evt = Client('IRIS') # Serparate client for events (hopefully to get round the "no event avialbel bug")
self.fdsnclient = Client('IRIS')
# Download Station Data
def download_station_data(self):
"""
Download or read important station data and make sure it is right
"""
try:
stat = self.fdsnclient.get_stations(channel='BH?',station='{}'.format(self.station))
self.network = stat.networks[0].code
self.stla = stat.networks[0].stations[0].latitude
self.stlo = stat.networks[0].stations[0].longitude
# print(self.network)
return True
except FDSNNoDataException:
return False
def set_event_data(self,i,sep):
"""
Function to download event information so we can get mroe accurate start times
"""
self.evla = self.data.EVLA[i]
self.evlo = self.data.EVLO[i]
if sep is False:
self.date = self.data.DATE[i]
if 'TIME' in self.data.columns:
self.time = self.data.TIME[i]
else:
self.time = '0000'
datetime = str(self.date) + "T" + self.time #Combined date and time inputs for converstion t UTCDateTime object
self.start = obspy.core.UTCDateTime(datetime)
try:
if 'TIME' in self.data.columns:
end = self.start + 60
print('Search starts {} , ends at {}'.format(self.start,end))
cat = self.fdsnclient_evt.get_events(starttime=self.start,endtime=self.start+86400 ,latitude=self.evla,longitude=self.evlo,maxradius=0.25,minmag=5.5) #Get event in order to get more accurate event times.
# self.time = '{:02d}{:02d}{:02d}'.format(cat[0].origins[0].time.hour,cat[0].origins[0].time.minute,cat[0].origins[0].time.second)
else:
# No Time so we need to search over the whole day
end = self.start + 86400
print('Search starts {} , ends at {}'.format(self.start,end))
cat = self.fdsnclient_evt.get_events(starttime=self.start,endtime=self.start+86400 ,latitude=self.evla,longitude=self.evlo,maxradius=0.25,minmag=5.5) #Get event in order to get more accurate event times.
if len(cat) > 1:
print("WARNING: MORE THAN ONE EVENT OCCURS WITHIN 5km Search!!")
print('Selecting Event with the largest magnitude')
# Select biggest magnitude
max_mag = max([cat[j].magnitudes[0].mag for j in [i for i,c in enumerate(cat)]])
cat = cat.filter('magnitude >= {}'.format(max_mag))
print(cat)
self.time = '{:02d}{:02d}{:02d}'.format(cat[0].origins[0].time.hour,cat[0].origins[0].time.minute,cat[0].origins[0].time.second)
self.start.minute = cat[0].origins[0].time.minute
self.start.hour = cat[0].origins[0].time.hour
print(self.time)
self.start.second = cat[0].origins[0].time.second
# Lines commented out as they are only needed if TIME is prvoided as hhmm (For Deng's events there is
# no TIME provided so we just have to used the event time downloaded)
# if self.start.minute != cat[0].origins[0].time.minute:
# self.time = self.time[:2] + str(cat[0].origins[0].time.minute) # Time is hhmm so we subtract the old minute value and add the new one
dep = cat[0].origins[0].depth
if dep is not None:
self.evdp = dep/1000.0 # divide by 1000 to convert depth to [km[]
else:
self.evdp = 10.0 #Hard code depth to 10.0 km if evdp cannot be found
except FDSNNoDataException:
print("No Event Data Available")
self.evdp = 0
except FDSNException:
print("FDSNException for get_events")
# pass
elif sep is True:
self.start = obspy.core.UTCDateTime('{}'.format(self.data.DATE[i])) #iso8601=True
self.date = '{:04d}{:03d}'.format(self.start.year,self.start.julday)
self.time = '{:02d}{:02d}{:02d}'.format(self.start.hour,self.start.minute,self.start.second)
self.evdp = self.data.EVDP[i]
def download_traces(self,ch):
"""
Function that downloads the traces for a given event and station
"""
# if len(self.time) is 6:
print('Start: {}. self.time: {}'.format(self.start,self.time))
tr_id = "{}/{}/{}_{}_{}_{}.sac".format(self.out,self.station,self.station,self.date,self.time,ch)
# elif len(self.time) is 4:
# tr_id = "{}/{}/{}_{}_{}{}_{}.sac".format(self.out,self.station,self.station,self.date,self.time,self.start.second,ch)
# print("Looking for :", tr_id)
if ch == 'BHE':
self.attempts += 1 # Counts the number of traces that downloads are attempted for
if os.path.isfile(tr_id) == True:
print("{} exists. It was not downloaded".format(tr_id)) # File does not exist
if ch == 'BHE':
out_id = '_'.join(tr_id.split('_')[0:-1])
self.outfile.write('{}_\n'.format(out_id))
# self.summary.append(out_id)
self.ex += 1
else:
# print("It doesnt exists. Download attempted")
st = obspy.core.stream.Stream() # Initialises our stream variable
if self.network is 'BK':
download_client = obspy.clients.fdsn.Client('NCEDC')
else:
download_client = obspy.clients.fdsn.Client('IRIS')
try:
st = download_client.get_waveforms(self.network,self.station,'??',ch,self.start,self.start + 3000,attach_response=True)
# print(st)
if len(st) > 3:
print("WARNING: More than three traces downloaded for event ", tr_id)
elif len(st) < 3:
self.ts += 1
dist_client = iris.Client() # Creates client to calculate event - station distance
print('STLA {} STLO {} EVLA {} EVLO {}'.format(self.stla,self.stlo,self.evla,self.evlo))
self.d = dist_client.distaz(stalat=self.stla,stalon=self.stlo,evtlat=self.evla,evtlon=self.evlo)
print('Source-Reciever distance is {}'.format(self.d['distance']))
if (self.d['distance'] >= 85.0) or (self.d['distance'] >=145.0):
if st[0].stats.endtime - st[0].stats.starttime >= 2000:
# print('Record length is {}, which is ok'.format(st[0].stats.endtime - st[0].stats.starttime))
self.write_st(st,tr_id)
if ch == 'BHE':
self.dwn += 1
out_id = '_'.join(tr_id.split('_')[0:-1])
self.outfile.write('{}_\n'.format(out_id))
# self.summary.append(out_id)
else:
print('Record length is {}, which is too short'.format(st[0].stats.endtime - st[0].stats.starttime))
if ch == 'BHE':
self.ts += 1
else:
print("Source Reciever Distance is too small")
if ch == 'BHE':
self.ts += 1
except FDSNException:
print('No Data Exception??')
if ch == 'BHE':
self.fdsnx += 1
def write_st(self,st,tr_id):
"""
"""
# print('Writing {}'.format(tr_id))
st[0].write('holder.sac', format='SAC',) # Writes traces as SAC files
#st.plot()
st_2 = obspy.core.read('holder.sac')
#sac = AttribDict() # Creates a dictionary sacd to contain all the header information I want.
## Set origin times
st_2[0].stats.sac.nzyear = self.start.year
st_2[0].stats.sac.nzjday = self.start.julday
st_2[0].stats.sac.nzhour = self.start.hour
st_2[0].stats.sac.nzmin = self.start.minute
st_2[0].stats.sac.nzsec = self.start.second
st_2[0].stats.sac.nzmsec = self.start.microsecond
## Station Paramters
st_2[0].stats.sac.stla = self.stla
st_2[0].stats.sac.stlo = self.stlo
## Event Paramters
st_2[0].stats.sac.evla = self.evla#cat[0].origins[0].latitude # Event latitude
st_2[0].stats.sac.evlo = self.evlo#cat[0].origins[0].longitude # Event longitude
st_2[0].stats.sac.evdp = self.evdp#cat[0].origins[0].depth/1000 # Event depth
st_2[0].stats.sac.kstnm = '{:>8}'.format(self.station)
# print('stla = {}, stlo = {}, evla = {}, evlo = {}'.format(stla,stlo,evla,evlo))
st_2[0].stats.sac.gcarc = self.d['distance'] # d.values returns the values from dictionary d produced by distaz. list converts this to a list attribute which can then be indexed to extract the great cricle distance in degrees
st_2[0].stats.sac.dist = self.d['distancemeters']/1000 # Distnace in kilometers
st_2[0].stats.sac.baz = self.d['backazimuth'] # Backzimuth (Reciever - SOurce)
st_2[0].stats.sac.az = self.d['azimuth'] # Azimuth (Source - Receiver)
st_2[0].write(tr_id, format='SAC',byteorder=1)
import obspy
from obspy.clients.fdsn.client import Client
import matplotlib.pyplot as plt
import numpy as np
starttime = obspy.core.utcdatetime.UTCDateTime('2001-01-01')
endtime = obspy.core.utcdatetime.UTCDateTime('2008-01-01')
client=Client('IRIS')
cat = client.get_events(starttime=starttime, endtime=endtime, minmagnitude=6.5,
minlatitude=25., maxlatitude=40., minlongitude=65., maxlongitude=75., catalog='ISC', magnitudetype='MS')
i = 1
evlo = cat[i].origins[0].longitude; evla = cat[i].origins[0].latitude
otime = cat[i].origins[0].time
stla = 34.945910; stlo = -106.457200
dist, az, baz=obspy.geodetics.gps2dist_azimuth(evla, evlo, stla, stlo) # distance is in m
t0 = 3600.*2.
print evlo, evla
print cat[i].event_descriptions[0]
print otime
print 'Mw = ',cat[1].magnitudes[0].mag
st = client.get_waveforms(network='IU', station='ANMO', location='00', channel='LHZ',
starttime=otime, endtime=otime+t0, attach_response=True)
pre_filt = (0.001, 0.005, 1, 100.0)
st.detrend()
st.remove_response(pre_filt=pre_filt, taper_fraction=0.1)
st.filter(type='bandpass', freqmin=0.01, freqmax=0.05, corners=4)
tr1=st[0].copy()
def get_events(self, startdate, enddate, add2dbase=True, gcmt=False, Mmin=5.5, Mmax=None,
minlatitude=None, maxlatitude=None, minlongitude=None, maxlongitude=None, latitude=None, longitude=None,\
minradius=None, maxradius=None, mindepth=None, maxdepth=None, magnitudetype=None, outquakeml=None):
"""Get earthquake catalog from IRIS server
=======================================================================================================
::: input parameters :::
startdate, enddate - start/end date for searching
Mmin, Mmax - minimum/maximum magnitude for searching
minlatitude - Limit to events with a latitude larger than the specified minimum.
maxlatitude - Limit to events with a latitude smaller than the specified maximum.
minlongitude - Limit to events with a longitude larger than the specified minimum.
maxlongitude - Limit to events with a longitude smaller than the specified maximum.
latitude - Specify the latitude to be used for a radius search.
longitude - Specify the longitude to the used for a radius search.
minradius - Limit to events within the specified minimum number of degrees from the
geographic point defined by the latitude and longitude parameters.
maxradius - Limit to events within the specified maximum number of degrees from the
geographic point defined by the latitude and longitude parameters.
mindepth - Limit to events with depth, in kilometers, larger than the specified minimum.
maxdepth - Limit to events with depth, in kilometers, smaller than the specified maximum.
magnitudetype - Specify a magnitude type to use for testing the minimum and maximum limits.
=======================================================================================================
"""
starttime = obspy.core.utcdatetime.UTCDateTime(startdate)
endtime = obspy.core.utcdatetime.UTCDateTime(enddate)
if not gcmt:
client = Client('IRIS')
try:
catISC = client.get_events(starttime=starttime, endtime=endtime, minmagnitude=Mmin, maxmagnitude=Mmax, catalog='ISC',
minlatitude=minlatitude, maxlatitude=maxlatitude, minlongitude=minlongitude, maxlongitude=maxlongitude,
latitude=latitude, longitude=longitude, minradius=minradius, maxradius=maxradius, mindepth=mindepth,
maxdepth=maxdepth, magnitudetype=magnitudetype)
endtimeISC = catISC[0].origins[0].time
except:
catISC = obspy.core.event.Catalog()
endtimeISC = starttime
if endtime.julday-endtimeISC.julday >1:
try:
catPDE = client.get_events(starttime=endtimeISC, endtime=endtime, minmagnitude=Mmin, maxmagnitude=Mmax, catalog='NEIC PDE',
minlatitude=minlatitude, maxlatitude=maxlatitude, minlongitude=minlongitude, maxlongitude=maxlongitude,
latitude=latitude, longitude=longitude, minradius=minradius, maxradius=maxradius, mindepth=mindepth,
maxdepth=maxdepth, magnitudetype=magnitudetype)
catalog = catISC+catPDE
except:
catalog = catISC
else:
catalog = catISC
outcatalog = obspy.core.event.Catalog()
# check magnitude
for event in catalog:
if event.magnitudes[0].mag < Mmin:
continue
outcatalog.append(event)
else:
# Updated the URL on Jul 25th, 2020
gcmt_url_old = 'http://www.ldeo.columbia.edu/~gcmt/projects/CMT/catalog/jan76_dec17.ndk'
gcmt_new = 'http://www.ldeo.columbia.edu/~gcmt/projects/CMT/catalog/NEW_MONTHLY'
if starttime.year < 2005:
print('--- Loading catalog: '+gcmt_url_old)
cat_old = obspy.read_events(gcmt_url_old)
if Mmax != None:
cat_old = cat_old.filter("magnitude <= %g" %Mmax)
if maxlongitude != None:
cat_old = cat_old.filter("longitude <= %g" %maxlongitude)
if minlongitude != None:
cat_old = cat_old.filter("longitude >= %g" %minlongitude)
if maxlatitude != None:
cat_old = cat_old.filter("latitude <= %g" %maxlatitude)
if minlatitude != None:
cat_old = cat_old.filter("latitude >= %g" %minlatitude)
if maxdepth != None:
cat_old = cat_old.filter("depth <= %g" %(maxdepth*1000.))
if mindepth != None:
cat_old = cat_old.filter("depth >= %g" %(mindepth*1000.))
temp_stime = obspy.core.utcdatetime.UTCDateTime('2018-01-01')
outcatalog = cat_old.filter("magnitude >= %g" %Mmin, "time >= %s" %str(starttime), "time <= %s" %str(endtime) )
else:
outcatalog = obspy.core.event.Catalog()
temp_stime = copy.deepcopy(starttime)
temp_stime.day = 1
while (temp_stime < endtime):
year = temp_stime.year
month = temp_stime.month
yearstr = str(int(year))[2:]
monstr = monthdict[month]
monstr = monstr.lower()
if year==2005 and month==6:
monstr = 'june'
if year==2005 and month==7:
monstr = 'july'
if year==2005 and month==9:
monstr = 'sept'
gcmt_url_new = gcmt_new+'/'+str(int(year))+'/'+monstr+yearstr+'.ndk'
try:
cat_new = obspy.read_events(gcmt_url_new, format='ndk')
print('--- Loading catalog: '+gcmt_url_new)
except:
print('--- Link not found: '+gcmt_url_new)
break
cat_new = cat_new.filter("magnitude >= %g" %Mmin, "time >= %s" %str(starttime), "time <= %s" %str(endtime) )
if Mmax != None:
cat_new = cat_new.filter("magnitude <= %g" %Mmax)
if maxlongitude != None:
cat_new = cat_new.filter("longitude <= %g" %maxlongitude)
if minlongitude!=None:
cat_new = cat_new.filter("longitude >= %g" %minlongitude)
if maxlatitude!=None:
cat_new = cat_new.filter("latitude <= %g" %maxlatitude)
if minlatitude!=None:
cat_new = cat_new.filter("latitude >= %g" %minlatitude)
if maxdepth != None:
cat_new = cat_new.filter("depth <= %g" %(maxdepth*1000.))
if mindepth != None:
cat_new = cat_new.filter("depth >= %g" %(mindepth*1000.))
outcatalog += cat_new
try:
temp_stime.month +=1
except:
temp_stime.year +=1
temp_stime.month = 1
try:
self.cat += outcatalog
except:
self.cat = outcatalog
if add2dbase:
self.add_quakeml(outcatalog)
if outquakeml is not None:
self.cat.write(outquakeml, format='quakeml')
return
import obspy
from obspy.clients.fdsn.client import Client
client = Client('IRIS')
catISC = client.get_events(minmagnitude=3.0,
catalog='ISC',
starttime=obspy.UTCDateTime('19910101'),
minlatitude=52.,
maxlatitude=73.,
minlongitude=-170.,
maxlongitude=-120.)
def test_to_pyrocko_events(self):
from obspy.clients.fdsn.client import Client
client = Client('IRIS')
cat = client.get_events(eventid=609301)
events = cat.to_pyrocko_events()
self.assertEqual(len(events), len(cat))
working_dir = '/Users/ljyi/Desktop/SYS6018/final_project'
os.chdir(working_dir)
# =========================== Data Exploration 1. =============================
# prepare variables for data downloading
client = Client('USGS')
start_time = UTCDateTime("1990-01-01T00:00:00")
end_time = UTCDateTime("1991-01-01T00:00:00") # "2018-11-01T00:00:00"
# sent start time and end time to collect data
t1 = start_time
t2 = end_time
# # download earthquake data
#cat = client.get_events(starttime=t1, endtime=t2, minmagnitude=5.5)
cat = client.get_events(starttime=t1, endtime=t2, minmagnitude=4.5)
# save data into a easier to use format
grid_size = 5
lat_list = []
lon_list = []
mag_list = []
depth_list = []
grid_list = []
time_diff_list = []
for an_event in cat:
lat = an_event.origins[0].latitude
lon = an_event.origins[0].longitude
depth = an_event.origins[0].depth * 0.001
mag = an_event.magnitudes[0].mag
origin_time = an_event.origins[0].time
from obspy.clients.fdsn.client import Client
import obspy
client=Client('IRIS')
starttime=obspy.core.utcdatetime.UTCDateTime('2011-12-01')
endtime=obspy.core.utcdatetime.UTCDateTime('2011-12-31')
cat = client.get_events(starttime=starttime, endtime=endtime, minmagnitude=5.5, catalog='ISC', magnitudetype='mb')
cat
from obspy.clients.fdsn.client import Client
import numpy as np
import timeit
import matplotlib.pyplot as plt
import obspy
startdate = '1991-01-01'
enddate = '2015-02-01'
starttime = obspy.core.utcdatetime.UTCDateTime(startdate)
endtime = obspy.core.utcdatetime.UTCDateTime(enddate)
client = Client('IRIS')
cat = client.get_events(catalog='NEIC PDE', minlatitude=55, maxlatitude=65, minlongitude=-170, maxlongitude=-140, \
mindepth=70., starttime=starttime, endtime=endtime)
def get_catalogues(self):
isc_catalogue = Client(self.sel_dlg_ret[0])
oth_catalogue = Client(self.sel_dlg_ret[1])
t_start = self.sel_dlg_ret[2]
t_end = self.sel_dlg_ret[3]
print('\nRequesting Earthquake Catalogues from Remote Servers.....')
self.isc_cat = isc_catalogue.get_events(starttime=t_start,
endtime=t_end)
self.oth_cat = oth_catalogue.get_events(starttime=t_start,
endtime=t_end)
# create empty data frame
self.isc_df = pd.DataFrame(data=None,
columns=[
'isc_ind', 'event_id', 'qtime', 'lat',
'lon', 'depth', 'mag'
])
self.oth_df = pd.DataFrame(data=None,
columns=[
'oth_ind', 'event_id', 'qtime', 'lat',
'lon', 'depth', 'mag'
])
# iterate through the events in oth cat
for _i, event in enumerate(self.oth_cat):
print "\r Parsing event from Local Cat", _i + 1, ' of ', len(
self.oth_cat), ' ....',
sys.stdout.flush()
# Get quake origin info
origin_info = event.preferred_origin() or event.origins[0]
try:
mag_info = event.preferred_magnitude() or event.magnitudes[0]
magnitude = mag_info.mag
except IndexError:
# No magnitude for event
magnitude = None
self.oth_df.loc[_i] = [
int(_i),
str(event.resource_id.id),
int(origin_info.time.timestamp), origin_info.latitude,
origin_info.longitude, origin_info.depth, magnitude
]
# Convert the depth field to Km from m
self.oth_df.loc[:, 'depth'] *= (1.0 / 1000)
print('\n')
# iterate through the events in isc cat
for _i, event in enumerate(self.isc_cat):
print "\r Parsing event from ISC Cat", _i + 1, ' of ', len(
self.isc_cat), ' ....',
sys.stdout.flush()
# Get quake origin info
origin_info = event.preferred_origin() or event.origins[0]
try:
mag_info = event.preferred_magnitude() or event.magnitudes[0]
magnitude = mag_info.mag
except IndexError:
# No magnitude for event
magnitude = None
self.isc_df.loc[_i] = [
int(_i),
str(event.resource_id.id),
int(origin_info.time.timestamp), origin_info.latitude,
origin_info.longitude, origin_info.depth, magnitude
]
# Convert the depth field to Km from m
self.isc_df.loc[:, 'depth'] *= (1.0 / 1000)
# =====================Finding matching events =======================
print('\nFinding Matching Events.....')
progressDialog = QtGui.QProgressDialog("Finding Matching Events",
"Cancel", 0, len(self.oth_df))
global match_index
global length_oth_df
match_index = 0
length_oth_df = len(self.oth_df)
def get_isc_match(row):
global match_index
global length_oth_df
progressDialog.setValue(match_index)
print "\r Matching event from Local Cat", match_index, ' of ', length_oth_df, ' ....',
sys.stdout.flush()
temp = self.isc_df_drop.apply(lambda x: abs(x - row),
axis=1) # Pandas DF
# NaNs are treated as small
smallest_temp = temp.nsmallest(2,
columns=['lat', 'lon', 'qtime'
]).iloc[0] # Pandas Series
distance_diff = degrees2kilometers(
math.sqrt(
abs(smallest_temp['lat'])**2 +
abs(smallest_temp['lon'])**2))
isc_index = smallest_temp.name
if smallest_temp['qtime'] <= 15 and \
(abs(smallest_temp['lon']) <= 1 or np.isnan(smallest_temp['lon'])) and \
(abs(smallest_temp['lat']) <= 1 or np.isnan(smallest_temp['lat'])):
ret_s = pd.Series([
isc_index, self.isc_df.loc[isc_index, 'event_id'],
self.isc_df.loc[isc_index, 'qtime'],
self.isc_df.loc[isc_index,
'lat'], self.isc_df.loc[isc_index, 'lon'],
self.isc_df.loc[isc_index, 'depth'],
self.isc_df.loc[isc_index, 'mag'], smallest_temp['qtime'],
distance_diff, smallest_temp['depth'], smallest_temp['mag']
],
index=[
'isc_ind', 'event_id_match',
'qtime_match', 'lat_match', 'lon_match',
'depth_match', 'mag_match', 'qtime_diff',
'dist_diff', 'depth_diff', 'mag_diff'
])
else:
ret_s = pd.Series([None, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
index=[
'isc_ind', 'event_id_match',
'qtime_match', 'lat_match', 'lon_match',
'depth_match', 'mag_match', 'qtime_diff',
'dist_diff', 'depth_diff', 'mag_diff'
])
match_index += 1
return ret_s
# Drop the event_id column (strings) from the data frame to apply vectorised function
self.oth_df_drop = self.oth_df.drop('event_id', axis=1)
self.isc_df_drop = self.isc_df.drop('event_id', axis=1)
self.matched_df = pd.concat(
(self.oth_df, self.oth_df_drop.apply(get_isc_match, axis=1)),
axis=1)
# drop a row from the matched df if isc_ind in matched df is NaN
# (I.e. there was no matching earthquake in isc cat)
self.matched_df.dropna(subset=['isc_ind'], inplace=True)
self.matched_df.reset_index(drop=True, inplace=True)
# find isc events not matched and oth events not matched
self.isc_not_matched_df = self.isc_df[~self.isc_df['isc_ind'].
isin(self.matched_df['isc_ind'])]
self.oth_not_matched_df = self.oth_df[~self.oth_df['oth_ind'].
isin(self.matched_df['oth_ind'])]
# prepare the log file
# location is based according to configuration
logging.basicConfig(filename=cfg.logfile, level=logging.INFO, format='%(asctime)s %(message)s\n')
try:
logging.info("Connecting to FDSN Server: " + cfg.fdsnws_url+"...")
fdsn = Client(cfg.fdsnws_url)
# get the first event
logging.info('Checking for timespan: ' + str(starttime) + ' - ' + str(endtime))
catalog=fdsn.get_events(starttime=starttime,
endtime=endtime,
minmagnitude=cfg.mag_thres,
magnitudetype="MLh",
includeallorigins=False,
includeallmagnitudes=False,
includearrivals=True,
orderby="time-asc",
limit=cfg.event_limit)
# for every event that is found, call the process
for event in catalog:
logging.info(str(event))
# call the python code
os.system("python " + cfg.extract + " " + str(event.origins[0].time))
# get event datetime
# cut off microseconds
# date=UTCDateTime(str(event.origins[0].time).partition(".")[0])
# create working dir folder respective to the event datetime
