savedir = "web/PyGema_Web/PyGema_Web/static/figs_html"
deadtime = 5
while True:
utc_now = UTCDateTime().now()
starttime = utc_now - 60 * 30
endtime = utc_now
for network, station in zip(networks, stations):
try:
if network == "GM":
# read and process data
st, gaps = get_streams_gema([network], [station],
starttime,
endtime,
only_vertical_channel=True,
local_dir_name=None)
if len(st) > 0:
# compute rsam
twin, freqmin, freqmax = load_rsam_parameters()
rsam_utcs, rsam_values = compute_rsam(st,
twin,
freqmin,
freqmax,
overlap=0.6)
# compute ssam
twin, freqmin, freqmax, nfreqs = load_ssam_parameters()
ssam_utcs, ssam_values, ssam_freqs = compute_ssam(
st, twin, freqmin, freqmax, nfreqs, overlap=0.6)
if len(events_list) > 0:
for event in events_list:
evtime = event[0]
evlon = event[1]
evlat = event[2]
evdep = event[3]
evnstats = event[4]
evgap = event[5]
evrms = event[6]
# calculate local magnitude
t1 = evtime - 60
t2 = evtime + 300
st, gaps = get_streams_gema(networks,
stations,
t1,
t2,
only_vertical_channel=True,
local_dir_name=None)
evmag = get_local_magnitude(st,
stations,
stlons,
stlats,
evtime,
evlon,
evlat,
evdep,
freqmin=1,
freqmax=10,
max_epicenter_dist=100)
# insert event to pygema db
def build_event_directory_for_nonlinloc(event_time,
networks,
stations,
freqmin=None,
freqmax=None,
deconvolve=False,
only_vertical_channel=False,
time_before=60,
time_after=300):
starttime = event_time - time_before
endtime = event_time + time_after
print("+ Reading seismic data from server ...")
st, gaps = get_streams_gema(networks,
stations,
starttime,
endtime,
only_vertical_channel=only_vertical_channel,
local_dir_name=None)
print("+ Pre-processing seismic data ...")
if len(st) > 0:
for tr in st:
try:
if deconvolve:
tr = remove_instrument_response(tr,
pre_filt=(0.01, 0.02, 50,
100),
detrend=True,
taper=True,
dataless_file=None)
else:
tr.detrend('demean')
tr.detrend('linear')
tr.taper(max_percentage=0.005, type='hann')
if freqmin is not None and freqmax is not None:
tr.filter("bandpass",
freqmin=freqmin,
freqmax=freqmax,
corners=3)
except:
st.remove(tr)
continue
outdir = "%s" % (event_time.strftime("%Y-%m-%d-%H%M%S"))
if len(st) > 0:
print("+ Exporting waveforms ...")
if not os.path.isdir(outdir):
os.makedirs(outdir)
for tr in st:
outfile = "%s/%s.%s.%s.%s.%s-%s.sac" % (
outdir, tr.stats.network, tr.stats.station,
tr.stats.location, tr.stats.channel,
tr.stats.starttime.strftime("%Y%m%d%H%M%S"),
tr.stats.endtime.strftime("%Y%m%d%H%M%S"))
#print(outfile)
tr.write(outfile, "SAC")
else:
print("+ No data found ...")
return outdir
def plot_triggers_stalta(networks, stations, starttime, endtime, freqmin=1, freqmax=10, include_trig_off=False, dark_background=False, show_plot=False, save_plot=True, savedir=None, format='jpg', dpi=150):
if dark_background:
plt.style.use(['dark_background'])
else:
plt.style.use(['default'])
fig = plt.figure(dpi=dpi)
adjustFigAspect(fig,aspect=1.75)
gs = mpl.gridspec.GridSpec(len(stations), 1, hspace=0.)
date_format = DateFormatter('%H:%M:%S')
for i in range(len(stations)):
network = networks[i]
station = stations[i]
if i == 0:
ax1 = fig.add_subplot(gs[i])
ax1.set_title("last update: %s UTC" % (UTCDateTime().now().strftime("%Y/%m/%d %H:%M:%S")), fontsize=4.5, loc='right')
else:
ax1 = fig.add_subplot(gs[i], sharex=ax1)
ax1.minorticks_on()
ax1.tick_params(axis='both', which='major', labelsize=8, bottom='off', top='off', left='off', right='off', direction='in')
ax1.tick_params(axis='both', which='minor', labelsize=8, bottom='off', top='off', left='off', right='off', direction='in')
ax1.tick_params(axis='x', which='major', labelsize=6, bottom='off', top='off', left='off', right='off', direction='in', rotation=0)
ax1.tick_params(axis='x', which='minor', labelsize=6, bottom='off', top='off', left='off', right='off', direction='in', rotation=0)
ax1.spines['right'].set_visible(False)
ax1.spines['top'].set_visible(False)
ax1.spines['left'].set_visible(False)
ax1.spines['bottom'].set_visible(False)
ax1.set_ylabel(network+"."+station, fontsize=5, rotation=0, labelpad=10)
ax1.xaxis.set_major_formatter(date_format)
ax1.set_xlim([ date2num(starttime.datetime), date2num(endtime.datetime) ])
plt.setp( ax1.get_yticklabels(), visible=False)
plt.setp(ax1.spines.values(), linewidth=.5)
ax1.grid(axis='x', lw=0.7, ls=':', color='0.75')
if i == len(stations)-1:
plt.setp( ax1.get_xticklabels(), visible=True)
else:
plt.setp( ax1.get_xticklabels(), visible=False)
try:
st, gaps = get_streams_gema([network], [station], starttime, endtime, only_vertical_channel=True, local_dir_name=None)
tr = st.select(station=station)
if len(tr)>0:
tr = tr[0]
if not isinstance(tr.data, np.ma.masked_array):
tr.detrend('demean')
tr.detrend('linear')
tr.taper(max_percentage=0.005,type='hann')
tr.filter("bandpass", freqmin=freqmin, freqmax=freqmax, corners=2)
if dark_background:
ax1.plot(tr.times("matplotlib"), tr.data, lw=0.09, color="0.85")
else:
ax1.plot(tr.times("matplotlib"), tr.data, lw=0.09, color="k")
triggers_list = select_triggers_stalta(station, starttime, endtime)
for trigger in triggers_list:
on = date2num(trigger[0].datetime)
off = date2num(trigger[1].datetime)
y1 = ax1.get_ylim()[0]; y2 = ax1.get_ylim()[1]
ax1.axvline(on, y1, y2, lw=0.5, color='r', zorder=100, clip_on=True, alpha=0.9)
#ax1.annotate( "P", (on, y2), color='r', zorder=100, fontsize=6)
if include_trig_off:
ax1.axvline(off, y1, y2, lw=0.7, color='g', zorder=100)
if dark_background:
ax1.add_patch( Rectangle((on, y1), off-on, y2-y1, fill=True, edgecolor=None, facecolor='w', alpha=0.8, linewidth=0, zorder=10) )
else:
ax1.add_patch( Rectangle((on, y1), off-on, y2-y1, fill=True, edgecolor=None, facecolor='w', alpha=0.8, linewidth=0, zorder=10) )
except:
continue
if save_plot:
if savedir is None:
outdir = "figs"
else:
outdir = "%s" % (savedir)
if not os.path.isdir(outdir):
os.makedirs(outdir)
figname = "%s/triggers_stalta.%s" % (outdir, format)
plt.savefig(figname, dpi=dpi, bbox_inches='tight', transparent=False)
if not show_plot:
plt.close('all')
if show_plot:
plt.show()
plt.close('all')