outDir='NM/testFigS/')
for i in range(50):
tool.plotWaveformByMat(quakeLs[10][i], staInfos)
tool.plotWaveformByMat(quakeLs[0][25], staInfos)
tool.plotWaveformByMat(quakeLs[1][8], staInfos)
timeL0, mlL0, laL0, loL0, laL00, loL00 = tool.getCatalog()
timeL, laL, loL = tool.dayTimeDis(quakeLs,
staInfos,
mlL0,
minCover=0.0,
isBox=True)
tool.compareTime(timeL, timeL0, laL, loL, laL00, loL00)
quakeL = []
loc = locator(staInfos)
for qL in quakeLs:
for q in qL:
q, res = loc.locate(q, maxDT=50)
if res < 2 and res > 0:
print(q)
quakeL.append(q)
tool.saveQuakeLs([quakeL], 'NM/phaseLsNM20190901All')
m=detecQuake.plotQuakeDis([quakeL],output='NM/quakeStaDis.pdf',R=[36,44,96,105],staInfos=staInfos,\
markersize=0.8,alpha=0.6,minCover=0.2,minSta=3,cmd='.b',topo='Ordos.grd',laL0=laL0,loL0=loL0,isBox=True)
quakeLsTrain = tool.readQuakeLs('phaseLst_Train', staInfos)
dTimeL = []
for qL in quakeLsTrain:
for q in qL:
for r in q:
staInfos = sacTool.readStaInfos(staLstFile)
taupM = tool.quickTaupModel(modelFile='iaspTaupMat')
modelL = [trainPS.loadModel('modelP_320000_100-2-15'),\
trainPS.loadModel('modelS_320000_100-2-15')]
aMat = sacTool.areaMat(laL, loL, laN, loN)
staTimeML = detecQuake.getStaTimeL(staInfos, aMat, taupM=taupM)
quakeLs = list()
bSec = UTCDateTime(2015, 6, 1).timestamp + 0 * 86400 * 230
eSec = UTCDateTime(2015, 10, 1).timestamp + 0 * 86400 * 231
for date in range(int(bSec), int(eSec), 86400):
dayNum = int(date / 86400)
dayDir = workDir + 'output20190901/' + str(dayNum)
if os.path.exists(dayDir):
print('done')
continue
date = UTCDateTime(float(date))
print('pick on ', date)
staL = detecQuake.getStaL(staInfos, aMat, staTimeML,\
modelL, date, getFileName=names.NMFileName,\
mode='norm',f=[2,15])
quakeLs.append(detecQuake.associateSta(staL, aMat, \
staTimeML, timeR=10, maxDTime=3, N=1,locator=\
locator(staInfos)))
tool.saveQuakeLWaveform(staL, quakeLs[-1], \
matDir=workDir+'output20190901/',\
index0=-1500,index1=1500)
tool.saveQuakeLs(quakeLs, workDir + 'phaseLsNM20190901V6')
detecQuake.plotResS(staL, quakeLs[-1], outDir=workDir + 'output20190901/')
staL = []
import mapTool as mt
import tomoDD
import locate
import iterconv
import locate
import matplotlib.pyplot as plt
import pyMFTCuda
import names
import time
import torch
staInfos = sacTool.readStaInfos('staLst_NM')
R = [37.5, 43, 95, 104.5]
RML = [38.7, 39.3, 101.8, 102]
loc = locate.locator(staInfos)
quakeTomoRelocLs = tool.readQuakeLs('NM/phaseLstTomoReloc', staInfos)
quakeWLXL=tool.selectQuake(quakeTomoRelocLs,RML,staInfos,minSta=8,maxCount=5,outDir='NM/output/',\
minCover=0.7,laN=5,loN=5)
quakeWLXL=tool.selectQuake([quakeTomoL],RML,staInfos,minSta=6,maxCount=5,outDir='NM/output/',\
minCover=0.7,laN=5,loN=5)
for quake in quakeWLXL:
loc.locate(quake, isDel=True)
tool.saveQuakeLs([quakeWLXL], 'NM/phaseLstWLX')
WLXDIR = '/home/jiangyr/MatchLocate/NM2/'
tmpDir = WLXDIR + 'Template/'
for quake in quakeWLXL:
sacTool.cutSacByQuakeForCmpAz(quake,staInfos,names.NMFileNameHour,R=[38,40,100,104],outDir=tmpDir,\
decMul=2,B=0,E=70,isFromO=True,nameMode='ML',maxDT=30)
staInfos = sacTool.readStaInfos(staLstFile)
laL = [35, 45]
loL = [96, 105]
laN = 35
loN = 35
taupM = tool.quickTaupModel(modelFile='iaspTaupMat')
modelL = [trainPS.loadModel('modelP_320000_100-2-15'),\
trainPS.loadModel('modelS_320000_100-2-15')]#-with
aMat = sacTool.areaMat(laL, loL, laN, loN)
staTimeML = detecQuake.getStaTimeL(staInfos, aMat, taupM=taupM)
quakeLs = list()
bSec = UTCDateTime(2015, 1, 1).timestamp + 0 * 86400 * 230
eSec = UTCDateTime(2015, 2, 1).timestamp + 0 * 86400 * 231
for date in range(int(bSec), int(eSec), 86400):
dayNum = int(date / 86400)
dayDir = workDir + 'output20191003/' + str(dayNum)
if os.path.exists(dayDir):
print('done')
continue
date = UTCDateTime(float(date))
print('pick on ', date)
staL = detecQuake.getStaL(staInfos, aMat, staTimeML, modelL, date, \
getFileName=names.NMFileName,mode='norm',f=[2,15])
quakeLs.append(detecQuake.associateSta(staL, aMat, staTimeML,\
timeR=10, maxDTime=3, N=1,locator=locator(staInfos)))
tool.saveQuakeLWaveform(staL, quakeLs[-1], matDir=workDir+'output20191003/',\
index0=-1500,index1=1500)
tool.saveQuakeLs(quakeLs, workDir + 'phaseLsNM20191003V7')
detecQuake.plotResS(staL, quakeLs[-1], outDir=workDir + 'output20191003/')
staL = []
modelL = [trainPS.loadModel('modelPNew2_15'),trainPS.loadModel('modelSNew2_15')]
aMat=sacTool.areaMat(laL,loL,laN,loN)
staTimeML= detecQuake.getStaTimeL(staInfos, aMat, taupM=taupM)
quakeLs=list()
for i in range(181, 210):
print('pick on ',i)
date = UTCDateTime(2008,1,1)+i*86400
dayNum=int(date.timestamp/86400)
dayDir='output/'+str(dayNum)
if os.path.exists(dayDir):
print('done')
continue
staL = detecQuake.getStaL(staInfos, aMat, staTimeML, modelL, date, taupM=taupM, mode='mid')
quakeLs.append(detecQuake.associateSta(staL, aMat, staTimeML, timeR=10, maxDTime=3, N=1,\
locator=locator(staInfos)))
tool.saveQuakeLs(quakeLs, 'phaseLst2')
tool.saveQuakeLWaveform(staL, quakeLs[-1], matDir='output/')
detecQuake.plotResS(staL,quakeLs[-1])
tool.saveQuakeLs(quakeLs, 'phaseLst2')
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
import detecQuake
#import trainPS
import sacTool
from imp import reload
from obspy import UTCDateTime
import numpy as np
import tool
sacFileNames=sacFileNames+glob(fileP)
return sacFileNames
taupM=tool.quickTaupModel(modelFile='iaspTaupMat')
laL=[32,44]
loL=[102,118]
laN=40
loN=40
modelL = [trainPS.loadModel('modelPNew2_15'),trainPS.loadModel('modelSNew2_15')]
aMat=sacTool.areaMat(laL,loL,laN,loN)
staTimeML= detecQuake.getStaTimeL(staInfos, aMat, taupM=taupM)
quakeLs=list()
bSec=UTCDateTime(2014,1,1).timestamp+0*86400*230
eSec=UTCDateTime(2017,2,4).timestamp+0*86400*231
for date in range(int(bSec),int(eSec),86400):
dayNum=int(date/86400)
dayDir='output/'+str(dayNum)
if os.path.exists(dayDir):
print('done')
continue
date=UTCDateTime(float(date))
print('pick on ',date)
#date = UTCDateTime(2015,1,1)+i*86400
staL = detecQuake.getStaL(staInfos, aMat, staTimeML, modelL, date, getFileName=NMFileName,mode='mid')
quakeLs.append(detecQuake.associateSta(staL, aMat, staTimeML, timeR=10, maxDTime=3, N=1,locator=locator(staInfos)))
tool.saveQuakeLWaveform(staL, quakeLs[-1], matDir='output/')
tool.saveQuakeLs(quakeLs, 'phaseLstHimaNewV100')
detecQuake.plotResS(staL,quakeLs[-1])
staL=[]