Source code for openquake.hazardlib.gsim.zhao_2016

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2012-2023 GEM Foundation
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.
"""
Module exports :class:`ZhaoEtAl2016Asc`,
               :class:`ZhaoEtAl2016AscSiteSigma`,
               :class:`ZhaoEtAl2016UpperMantle`,
               :class:`ZhaoEtAl2016UpperMantleSiteSigma`,
               :class:`ZhaoEtAl2016SInter`,
               :class:`ZhaoEtAl2016SInterSiteSigma`,
               :class:`ZhaoEtAl2016SSlab`,
               :class:`ZhaoEtAl2016SSlabSiteSigma`,
               :class:`ZhaoEtAl2016SSlabPErg`
"""
import copy
import numpy as np
import pandas as pd

from openquake.baselib.general import CallableDict
from openquake.hazardlib.gsim.base import GMPE, CoeffsTable
from openquake.hazardlib.geo.packager import fiona
from openquake.hazardlib import const
from openquake.hazardlib.imt import PGA, SA
from openquake.hazardlib.geo import Point
from openquake.hazardlib.geo import Polygon
from openquake.hazardlib.gsim.zhao_2016_volc_perg import volc_perg


CONSTANTS = {"m_c": 7.1,
             "xcro": 2.0,
             "xinto": 10.0,  # Used in subduction Interface class
             "alpha": 2.0,
             "beta": 0.6,
             "Imin": 1.0,
             "Imax": 12.0,
             "m_sc": 6.3}  # Used in Subduction Slab class

# Impedence ratio factors for each site class
IMF = {1: (1. + 0.8 * 2.73) / 3.5,  # IMF 0.91
       2: 3.07 / 3.0,
       3: (1. + 0.9 * 1.76) / 2.5,
       4: (1. + 0.6 * 2.02) / 3.0}

get_magnitude_scaling_term = CallableDict()

# Coefficients table taken from spreadsheet supplied by the author
COEFFS_SLAB = CoeffsTable(sa_damping=5, table="""\
imt                alpha   beta      cSL     cSL2      dSL              bSLH       gSL      gLL      eSLV       eSL       eSLH       gamma         S2         S3         S4              lnSC1AM    sigma     tau  sigma_T  sc1_sigma_S  sc1_tau_S  sc1_sigma_ST  sc2_sigma_S  sc2_tau_S  sc2_sigma_ST  sc3_sigma_S  sc3_tau_S  sc3_sigma_ST  sc4_sigma_S  sc4_tau_S  sc4_sigma_ST
pga    -5.30118903954448  1.151  1.44758  0.37625  0.42646  0.01825668401347  -1.98471  1.12071  -0.01499  -0.00340  -0.000501   -9.879560   0.232000   0.143711   0.147037   0.3230000000000000   0.5870  0.4570   0.7440       0.3981     0.5107        0.6475       0.4174     0.4494        0.6133       0.4091     0.4306        0.5940       0.4152     0.4217        0.5918
0.005  -5.30118903954448  1.151  1.44758  0.37625  0.42646  0.01825668401347  -1.98471  1.12071  -0.01499  -0.00340  -0.000501   -9.879560   0.232000   0.143711   0.147037   0.3230000000000000   0.5870  0.4570   0.7440       0.3981     0.5107        0.6475       0.4174     0.4494        0.6133       0.4091     0.4306        0.5940       0.4152     0.4217        0.5918
0.010  -5.28843513142218  1.151  1.45400  0.38099  0.42075  0.01825668401347  -1.96360  1.03278  -0.01503  -0.00331  -0.000501   -9.512690   0.228860   0.139780   0.132840   0.2050000000000000   0.5870  0.4590   0.7460       0.3968     0.5166        0.6514       0.4173     0.4499        0.6136       0.4086     0.4314        0.5941       0.4149     0.4183        0.5892
0.020  -5.27568122329988  1.151  1.46625  0.39101  0.40055  0.01825668401347  -1.91839  0.94715  -0.01517  -0.00345  -0.000501   -9.266260   0.218250   0.126000   0.144310   0.0830000000000000   0.5870  0.4650   0.7490       0.3951     0.5180        0.6515       0.4172     0.4488        0.6128       0.4082     0.4313        0.5938       0.4158     0.4245        0.5942
0.030  -5.26822066531069  1.151  1.49246  0.41976  0.36433  0.01825668401347  -1.89271  0.93420  -0.01567  -0.00391  -0.000501   -9.331500   0.187370   0.061640   0.066000   0.0410000000000000   0.5880  0.4800   0.7590       0.3894     0.5369        0.6633       0.4179     0.4492        0.6135       0.4088     0.4300        0.5933       0.4166     0.4224        0.5933
0.040  -5.26292731517758  1.151  1.50129  0.45746  0.32072  0.01825668401347  -1.87260  0.97168  -0.01616  -0.00454  -0.000501   -9.507980   0.123320  -0.017050  -0.017140   0.0340000000000000   0.6000  0.5200   0.7940       0.3873     0.5716        0.6905       0.4201     0.4559        0.6200       0.4125     0.4281        0.5945       0.4201     0.4308        0.6017
0.050  -5.25882147383339  1.151  1.51051  0.48601  0.30000  0.01825668401347  -1.85351  1.01492  -0.01676  -0.00510  -0.000501   -9.728580   0.072070  -0.063310  -0.073120   0.0460000000000000   0.6070  0.5550   0.8230       0.3874     0.5857        0.7022       0.4219     0.4794        0.6386       0.4089     0.4286        0.5924       0.4217     0.4387        0.6085
0.060  -5.25546675718839  1.151  1.51380  0.50311  0.31147  0.01825668401347  -1.83395  1.06854  -0.01722  -0.00552  -0.000501   -9.966280   0.027010  -0.101030  -0.119550   0.0690000000000000   0.6230  0.5840   0.8540       0.3970     0.6131        0.7304       0.4160     0.5074        0.6561       0.4012     0.4485        0.6018       0.4227     0.4450        0.6138
0.070  -5.25263038467956  1.151  1.51111  0.50704  0.32673  0.01825668401347  -1.81345  1.13401  -0.01752  -0.00588  -0.000487  -10.225830  -0.006210  -0.146840  -0.160060   0.0980000000000000   0.6380  0.5980   0.8750       0.4027     0.6326        0.7499       0.4121     0.5317        0.6727       0.3942     0.4556        0.6025       0.4203     0.4732        0.6329
0.080  -5.25017340705527  1.151  1.50406  0.50004  0.34289  0.01825668401347  -1.79189  1.20364  -0.01768  -0.00615  -0.000479  -10.551110   0.015650  -0.144790  -0.124340   0.1320000000000000   0.6510  0.5980   0.8840       0.4130     0.6434        0.7646       0.4124     0.5554        0.6918       0.3887     0.4554        0.5987       0.4230     0.4905        0.6477
0.090  -5.24800619919920  1.151  1.49423  0.48071  0.35921  0.01825668401347  -1.76931  1.25808  -0.01772  -0.00635  -0.000476  -10.807210   0.050890  -0.126660  -0.072930   0.1690000000000000   0.6630  0.5850   0.8840       0.4221     0.6307        0.7589       0.4122     0.5677        0.7015       0.3905     0.4752        0.6151       0.4269     0.5177        0.6710
0.100  -5.24606756571109  1.151  1.48300  0.45759  0.37000  0.01825668401347  -1.74581  1.30112  -0.01768  -0.00652  -0.000478  -11.021900   0.095600  -0.093190  -0.014580   0.2080000000000000   0.6740  0.5670   0.8810       0.4286     0.6258        0.7585       0.4177     0.5662        0.7036       0.3936     0.5067        0.6416       0.4263     0.5593        0.7033
0.120  -5.24271284906608  1.151  1.45559  0.41355  0.40606  0.01825668401347  -1.73746  1.39137  -0.01742  -0.00660  -0.000489  -11.365300   0.200370  -0.008780   0.082520   0.2880000000000000   0.6900  0.5340   0.8720       0.4402     0.6135        0.7551       0.4285     0.5695        0.7127       0.4279     0.5479        0.6951       0.4445     0.5762        0.7277
0.140  -5.23987647655726  1.151  1.44277  0.37828  0.43450  0.01825668401347  -1.74463  1.47084  -0.01700  -0.00652  -0.000508  -11.730390   0.303720   0.089260   0.171510   0.3700000000000000   0.6920  0.5040   0.8560       0.4411     0.6126        0.7549       0.4347     0.5971        0.7386       0.4326     0.5072        0.6666       0.4424     0.5608        0.7143
0.150  -5.23860700772190  1.151  1.43314  0.36308  0.45000  0.01825668401347  -1.74972  1.50784  -0.01676  -0.00647  -0.000520  -11.880130   0.342840   0.136020   0.209320   0.4120000000000000   0.6960  0.4860   0.8500       0.4495     0.6023        0.7515       0.4399     0.5985        0.7428       0.4200     0.4896        0.6450       0.4401     0.5546        0.7080
0.160  -5.23741949893297  1.151  1.43253  0.34919  0.46055  0.01825668401347  -1.76259  1.54326  -0.01649  -0.00636  -0.000532  -12.056370   0.374000   0.177510   0.241170   0.4530000000000000   0.6970  0.4650   0.8380       0.4518     0.5987        0.7500       0.4443     0.5970        0.7442       0.4239     0.4939        0.6509       0.4369     0.5517        0.7037
0.180  -5.23525229107689  1.151  1.43710  0.32464  0.48439  0.01825668401347  -1.78989  1.60985  -0.01594  -0.00614  -0.000559  -12.420440   0.427000   0.253090   0.298960   0.5350000000000000   0.7040  0.4300   0.8250       0.4540     0.5990        0.7516       0.4474     0.6005        0.7489       0.4463     0.5003        0.6704       0.4361     0.5534        0.7046
0.200  -5.23331365758879  1.151  1.44781  0.30358  0.50900  0.01825668401347  -1.82110  1.67146  -0.01537  -0.00590  -0.000588  -12.785420   0.462970   0.320050   0.345910   0.6060000000000000   0.7130  0.4060   0.8210       0.4622     0.5897        0.7493       0.4499     0.5962        0.7469       0.4411     0.4907        0.6598       0.4322     0.5617        0.7088
0.250  -5.22920781624461  1.151  1.48260  0.26174  0.55500  0.01825668401347  -1.90412  1.80738  -0.01395  -0.00526  -0.000667  -13.635370   0.508560   0.453040   0.442310   0.6700000000000000   0.7110  0.3850   0.8080       0.4743     0.5545        0.7297       0.4702     0.6010        0.7631       0.4587     0.4500        0.6426       0.4319     0.5065        0.6657
0.300  -5.22585309959960  1.151  1.51881  0.23036  0.59300  0.01825668401347  -1.98439  1.92242  -0.01261  -0.00468  -0.000749  -14.380860   0.507760   0.548750   0.517820   0.7100000000000000   0.6830  0.3650   0.7750       0.4723     0.5320        0.7114       0.4749     0.5574        0.7322       0.4369     0.4989        0.6631       0.4323     0.4889        0.6526
0.350  -5.22301672709078  1.151  1.55291  0.20580  0.62500  0.01825668401347  -2.05756  2.02102  -0.01139  -0.00415  -0.000831  -15.035110   0.497100   0.617130   0.575960   0.7189367707551090   0.6650  0.3730   0.7620       0.4677     0.5050        0.6883       0.4780     0.5178        0.7047       0.4435     0.5315        0.6922       0.4318     0.4630        0.6331
0.400  -5.22055974946649  1.151  1.58443  0.18597  0.65200  0.01825668401347  -2.12282  2.10642  -0.01029  -0.00369  -0.000912  -15.615990   0.480650   0.666340   0.622390   0.7056101598849490   0.6570  0.3830   0.7610       0.4574     0.4792        0.6625       0.4836     0.4878        0.6868       0.4530     0.5458        0.7093       0.4155     0.4661        0.6244
0.450  -5.21839254161041  1.151  1.61360  0.16960  0.67500  0.01825668401347  -2.18047  2.18097  -0.00931  -0.00327  -0.000993  -16.138300   0.461590   0.701110   0.659760   0.6928932372909810   0.6470  0.3910   0.7560       0.4500     0.4608        0.6441       0.4772     0.4790        0.6761       0.4771     0.5294        0.7127       0.4079     0.4613        0.6158
0.500  -5.21645390812230  1.151  1.64075  0.15585  0.69500  0.01825668401347  -2.23118  2.24651  -0.00843  -0.00290  -0.001071  -16.613239   0.442240   0.725580   0.690660   0.6807534705053220   0.6400  0.4030   0.7560       0.4452     0.4506        0.6334       0.4696     0.4713        0.6653       0.4718     0.4947        0.6836       0.4087     0.4665        0.6202
0.600  -5.21309919147730  1.151  1.69020  0.13405  0.72900  0.01825668401347  -2.31475  2.35602  -0.00694  -0.00227  -0.001239  -17.452980   0.405370   0.752940   0.737960   0.6580415130288750   0.6330  0.4120   0.7550       0.4480     0.4355        0.6248       0.4597     0.4671        0.6553       0.4590     0.4701        0.6570       0.4065     0.4335        0.5943
0.700  -5.21026281896847  1.151  1.73450  0.11757  0.75600  0.01825668401347  -2.37885  2.44331  -0.00574  -0.00178  -0.001393  -18.180950   0.373420   0.762450   0.772260   0.6371531353146750   0.6330  0.4320   0.7660       0.4396     0.4299        0.6149       0.4595     0.4642        0.6532       0.4611     0.4727        0.6604       0.4031     0.4300        0.5894
0.800  -5.20780584134418  1.151  1.77474  0.10476  0.77800  0.01825668401347  -2.42769  2.51391  -0.00477  -0.00139  -0.001535  -18.824989   0.346230   0.761190   0.797360   0.6178103254041100   0.6360  0.4360   0.7710       0.4412     0.4269        0.6139       0.4596     0.4559        0.6474       0.4573     0.4565        0.6461       0.4067     0.4543        0.6097
0.900  -5.20563863348810  1.151  1.81162  0.09458  0.79600  0.01825668401347  -2.46450  2.57166  -0.00398  -0.00109  -0.001664  -19.403130   0.323640   0.753840   0.816160   0.5997867391697460   0.6360  0.4370   0.7720       0.4345     0.4314        0.6123       0.4559     0.4659        0.6519       0.4490     0.4391        0.6280       0.4082     0.4556        0.6117
1.000  -5.20370000000000  1.151  1.84561  0.08636  0.81200  0.01825668401347  -2.49170  2.61931  -0.00333  -0.00086  -0.001781  -19.927660   0.304790   0.742790   0.830090   0.5829000000000000   0.6370  0.4360   0.7720       0.4270     0.4400        0.6131       0.4479     0.4663        0.6466       0.4419     0.4415        0.6246       0.4080     0.4619        0.6163
1.250  -5.19959415865582  1.151  1.92015  0.07173  0.84100  0.01807627932941  -2.52758  2.70638  -0.00215  -0.00052  -0.001989  -21.058180   0.270260   0.708330   0.850360   0.5447531267038370   0.6350  0.4440   0.7750       0.4126     0.4401        0.6032       0.4422     0.4755        0.6493       0.4279     0.4321        0.6081       0.4123     0.4437        0.6057
1.500  -5.19623944201081  1.151  1.98274  0.06258  0.86100  0.01785908731221  -2.53359  2.76244  -0.00142  -0.00043  -0.002134  -21.996330   0.248310   0.672560   0.857320   0.5111822983011660   0.6450  0.4480   0.7850       0.4157     0.4485        0.6115       0.4477     0.4730        0.6513       0.4177     0.4605        0.6217       0.4178     0.4432        0.6090
2.000  -5.19094609187770  1.151  2.08214  0.05327  0.88400  0.01717728835933  -2.49565  2.82205  -0.00067  -0.00070  -0.002245  -23.488390   0.225290   0.610670   0.849910   0.4538170835899950   0.6330  0.4240   0.7620       0.4089     0.4409        0.6013       0.4371     0.4624        0.6362       0.4061     0.4720        0.6227       0.4133     0.4392        0.6031
2.500  -5.18684025053352  1.151  2.15841  0.05036  0.90000  0.01628389643418  -2.42623  2.84475  -0.00039  -0.00127  -0.002188  -24.647409   0.215400   0.564030   0.827570   0.4056165742693500   0.6080  0.4130   0.7350       0.3979     0.4247        0.5820       0.4293     0.4273        0.6057       0.3868     0.4841        0.6197       0.4139     0.4267        0.5945
3.000  -5.18348553388851  1.151  2.22046  0.04536  0.90000  0.01549254642056  -2.34726  2.84988  -0.00030  -0.00198  -0.002068  -25.597130   0.211540   0.526120   0.799110   0.3638313271186210   0.5820  0.4070   0.7110       0.3901     0.3963        0.5561       0.4227     0.4071        0.5869       0.3688     0.4470        0.5795       0.4117     0.4309        0.5959
3.500  -5.18064916137969  1.151  2.27406  0.04536  0.90000  0.01489171351523  -2.27002  2.84667  -0.00026  -0.00271  -0.001926  -26.409969   0.209756   0.497660   0.767820   0.3268167127622250   0.5620  0.3940   0.6870       0.3858     0.3856        0.5454       0.4104     0.4011        0.5738       0.3763     0.4339        0.5743       0.4016     0.4127        0.5758
4.000  -5.17819218375539  1.151  2.32307  0.04536  0.90000  0.01458020631717  -2.19947  2.83992  -0.00021  -0.00341  -0.001798  -27.131809   0.208748   0.476850   0.735940   0.2935047212753080   0.5400  0.3810   0.6600       0.3766     0.3728        0.5299       0.4104     0.3862        0.5636       0.3621     0.4064        0.5443       0.3943     0.3906        0.5550
4.500  -5.17602497589932  1.151  2.37009  0.04536  0.90000  0.01458710652043  -2.12528  2.82802  -0.00021  -0.00421  -0.001701  -27.792990   0.207737   0.462230   0.704070   0.2630000000000000   0.5250  0.3650   0.6400       0.3604     0.3635        0.5119       0.4116     0.3731        0.5555       0.3675     0.3831        0.5309       0.3853     0.3664        0.5317
5.000  -5.17408634241121  1.151  2.37009  0.04536  0.90000  0.01458710652043  -2.02646  2.82521  -0.00021  -0.00500  -0.001575  -28.313459   0.206721   0.452670   0.672200   0.2350000000000000   0.5220  0.3780   0.6450       0.3612     0.3588        0.5091       0.4469     0.3219        0.5508       0.3806     0.3163        0.4949       0.3799     0.3235        0.4990
    """)

# Coefficients specific to the site amplification
COEFFS_SITE_SLAB = CoeffsTable(sa_damping=5, table="""\
    imt    LnAmax1D1   LnAmax1D2   LnAmax1D3   LnAmax1D4     Src1D1     Src1D2     Src1D3     Src1D4     fsr1    fsr2    fsr3    fsr4
    pga     0.650220    0.709730    0.644340    0.404280   8.429000   1.913680   1.117140   0.836440   1.0000  1.0000  1.0000  1.0000
    0.005   0.650220    0.709730    0.644340    0.404280   8.429000   1.913680   1.117140   0.836440   1.0000  1.0000  1.0000  1.0000
    0.010   0.651810    0.706790    0.646240    0.404280   8.090000   1.882560   1.114440   0.836440   1.0000  1.0000  1.0000  1.0000
    0.020   0.653620    0.694650    0.638650    0.387890   6.992000   1.778610   1.124370   0.830000   1.0000  1.0000  1.0000  1.0500
    0.030   0.654670    0.687550    0.634210    0.378300   6.350000   1.717810   1.130170   0.826240   1.0000  1.0000  1.0000  0.5800
    0.040   0.652850    0.698920    0.606040    0.317370   4.883000   2.052340   1.150800   0.767580   1.0000  1.0060  1.0000  0.4820
    0.050   0.672640    0.701370    0.617160    0.309340   5.043000   2.387130   1.239710   0.786320   1.0000  0.8510  1.0000  0.4720
    0.060   0.699660    0.724450    0.637970    0.325300   6.271000   2.833990   1.348190   0.837750   1.0000  0.8030  1.0440  0.5060
    0.070   0.717130    0.743430    0.654370    0.354120   7.667000   3.294470   1.451810   0.926160   1.0000  0.9180  0.9750  0.5870
    0.080   0.716030    0.785980    0.680190    0.392820   9.034000   3.990910   1.583150   1.022280   1.0000  1.0620  0.9640  0.6830
    0.090   0.725610    0.797210    0.708890    0.421840  11.251000   4.465760   1.732920   1.118020   1.0000  1.1060  0.9800  0.7820
    0.100   0.742000    0.816680    0.718810    0.437360  14.817000   5.045610   1.841340   1.165780   1.0000  1.0710  0.9700  0.8230
    0.120   0.762360    0.845230    0.725810    0.472080  14.817000   5.899600   2.030290   1.285510   0.0000  0.9515  1.0220  1.0290
    0.140   0.752150    0.782960    0.745250    0.512780  14.817000   5.053530   2.281330   1.398080   0.0000  0.6720  0.8890  0.9910
    0.150   0.738190    0.794800    0.761030    0.534320  14.817000   5.204900   2.444130   1.443270   0.0000  0.6310  0.8610  0.9830
    0.160   0.719110    0.808610    0.768130    0.550220  14.817000   5.386940   2.580170   1.471770   0.0000  0.6000  0.8310  0.9730
    0.180   0.654080    0.843310    0.756900    0.572790  14.817000   5.871650   2.741610   1.546940   0.0000  0.5710  0.7480  0.9790
    0.200   0.583950    0.877700    0.717850    0.596740  14.817000   6.573910   2.825870   1.644010   0.0000  0.5650  0.6500  1.0060
    0.250   0.583950    0.937670    0.654700    0.611360  14.817000   8.500000   2.718930   1.790130   0.0000  0.6010  0.4790  1.0270
    0.300   0.583950    0.950000    0.696190    0.626380  14.817000  10.670300   2.417590   1.823450   0.0000  0.5790  0.4490  1.0210
    0.350   0.583950    1.000000    0.779070    0.630120  14.817000  10.670300   2.303750   1.790370   0.0000  0.6790  0.4820  1.0030
    0.400   0.583950    1.000000    0.827760    0.647730  14.817000  10.670300   2.236250   1.768440   0.0000  0.6550  0.4990  1.0100
    0.450   0.583950    1.000000    0.876450    0.641520  14.817000  10.670300   2.216780   1.675390   0.0000  0.6150  0.5150  0.9850
    0.500   0.583950    1.000000    0.925140    0.655820  14.817000  10.670300   2.243380   1.625390   0.0000  0.5500  0.5300  0.9900
    0.600   0.583950    1.000000    0.973830    0.686680  14.817000  10.670300   2.805350   1.524530   0.0000  0.0000  0.5300  1.0060
    0.700   0.583950    1.000000    1.022520    0.705600  14.817000  10.670300   6.658390   1.397240   0.0000  0.0000  0.4990  1.0000
    0.800   0.583950    1.000000    1.071220    0.714290  14.817000  10.670300  30.000000   1.320290   0.0000  0.0000  0.3690  1.0000
    0.900   0.583950    1.000000    1.119910    0.703880  14.817000  10.670300  30.000000   1.266370   0.0000  0.0000  0.3000  0.9600
    1.000   0.583950    1.000000    1.168600    0.678130  14.817000  10.670300  30.000000   1.226800   0.0000  0.0000  0.2000  0.9040
    1.250   0.583950    1.000000    1.217290    0.611190  14.817000  10.670300  30.000000   1.220650   0.0000  0.0000  0.0000  0.7380
    1.500   0.583950    1.000000    1.265980    0.547360  14.817000  10.670300  30.000000   1.318050   0.0000  0.0000  0.0000  0.5350
    2.000   0.583950    1.000000    1.314670    0.459440  14.817000  10.670300  30.000000   2.124850   0.0000  0.0000  0.0000  0.3580
    2.500   0.583950    1.000000    1.363360    0.408460  14.817000  10.670300  30.000000  14.381810   0.0000  0.0000  0.0000  0.0000
    3.000   0.583950    1.000000    1.412050    0.364210  14.817000  10.670300  30.000000  14.381810   0.0000  0.0000  0.0000  0.0000
    3.500   0.583950    1.000000    1.460750    0.329840  14.817000  10.670300  30.000000  14.381810   0.0000  0.0000  0.0000  0.0000
    4.000   0.583950    1.000000    1.509440    0.309120  14.817000  10.670300  30.000000  14.381810   0.0000  0.0000  0.0000  0.0000
    4.500   0.583950    1.000000    1.558130    0.292510  14.817000  10.670300  30.000000  14.381810   0.0000  0.0000  0.0000  0.0000
    5.000   0.583950    1.000000    1.606820    0.547360  14.817000  10.670300  30.000000  14.381810   0.0000  0.0000  0.0000  0.0000
    """)


[docs]@get_magnitude_scaling_term.add( const.TRT.ACTIVE_SHALLOW_CRUST, const.TRT.UPPER_MANTLE) def get_magnitude_scaling_term_asc(trt, C, ctx): """ Returns the magnitude scaling term in equations 1 and 2 """ return np.where(ctx.mag <= CONSTANTS["m_c"], C["ccr"] * ctx.mag, C["ccr"] * CONSTANTS["m_c"] + C["dcr"] * (ctx.mag - CONSTANTS["m_c"]))
[docs]@get_magnitude_scaling_term.add(const.TRT.SUBDUCTION_INTERFACE) def get_magnitude_scaling_term_SInter(trt, C, ctx): """ Returns magnitude scaling term, which is dependent on top of rupture depth - as described in equations 1 and 2 """ c_int = np.where(ctx.ztor > 25.0, C["cint"], C["cintS"]) return np.where(ctx.mag <= CONSTANTS["m_c"], c_int * ctx.mag, c_int * CONSTANTS["m_c"] + C["dint"] * (ctx.mag - CONSTANTS["m_c"]))
[docs]@get_magnitude_scaling_term.add(const.TRT.SUBDUCTION_INTRASLAB) def get_magnitude_scaling_term_sslab(trt, C, ctx): """ Returns the magnitude scaling defined in equation 1 """ m_c = CONSTANTS["m_c"] return np.where( ctx.mag <= m_c, C["cSL"] * ctx.mag + C["cSL2"] * (ctx.mag - CONSTANTS["m_sc"]) ** 2., C["cSL"] * m_c + C["cSL2"] * (m_c - CONSTANTS["m_sc"]) ** 2. + C["dSL"] * (ctx.mag - m_c))
get_sof_term = CallableDict()
[docs]@get_sof_term.add(const.TRT.ACTIVE_SHALLOW_CRUST) def get_sof_term_asc(trt, C, ctx): """ Shallow crustal faults have a style-of-faulting dependence as normal faulting is found to produce higher ground motion (equation 1) """ res = np.zeros_like(ctx.rake) # adjustment for normal faulting res[(ctx.rake <= -45.0) & (ctx.rake >= -135.0)] = C["FN_CR"] return res
[docs]@get_sof_term.add(const.TRT.UPPER_MANTLE) def get_sof_term_um(trt, C, ctx): """ In the case of the upper mantle events separate coefficients are considered for normal, reverse and strike-slip """ res = np.zeros_like(ctx.rake) # adjustment for normal faulting res[(ctx.rake <= -45.0) & (ctx.rake >= -135.0)] = C["FN_UM"] # adjustment for reverse faulting res[(ctx.rake > 45.0) & (ctx.rake < 135.0)] = C["FRV_UM"] return res
[docs]@get_sof_term.add(const.TRT.SUBDUCTION_INTERFACE) def get_sof_term_SInter(trt, C, ctx): """ No style of faulting dependence here """ return 0.0
[docs]@get_sof_term.add(const.TRT.SUBDUCTION_INTRASLAB) def get_sof_term_sslab(trt, C, ctx): """ No style of faulting dependence here """ return 0.0
get_depth_term = CallableDict()
[docs]@get_depth_term.add(const.TRT.ACTIVE_SHALLOW_CRUST) def get_depth_term_asc(trt, C, ctx): """ Returns the top-of-rupture depth scaling (equation 1) """ return C["bcr"] * ctx.ztor
[docs]@get_depth_term.add(const.TRT.UPPER_MANTLE) def get_depth_term_um(trt, C, ctx): """ No top of rupture depth is considered for upper mantle events """ return 0.0
[docs]@get_depth_term.add(const.TRT.SUBDUCTION_INTERFACE) def get_depth_term_SInter(trt, C, ctx): """ Returns depth term (dependent on top of rupture depth) as given in equations 1 and 2 """ return (C["bint"] * ctx.ztor)
[docs]@get_depth_term.add(const.TRT.SUBDUCTION_INTRASLAB) def get_depth_term_sslab(trt, C, ctx): """ Returns depth term (dependent on top of rupture depth) as given in equations 1 Note that there is a ztor cap of 100 km that is introduced in the Fortran code but not mentioned in the original paper! """ return np.where(ctx.ztor > 100., C["bSLH"] * 100.0, C["bSLH"] * ctx.ztor)
get_distance_term = CallableDict()
[docs]@get_distance_term.add(const.TRT.ACTIVE_SHALLOW_CRUST) def get_distance_term_asc(trt, C, ctx, volc_arc_str=None, pgn_store=None, pgn_per_zone=None): """ Returns the distance scaling term defined in equation 3 """ x_ij = ctx.rrup gn_exp = np.exp(C["c1"] + 6.5 * C["c2"]) # Geometric attenuation scaling described in equation 6 g_n = C["gcrN"] * np.log(CONSTANTS["xcro"] + 30. + gn_exp) *\ np.ones_like(x_ij) idx = x_ij <= 30.0 if np.any(idx): g_n[idx] = C["gcrN"] * np.log(CONSTANTS["xcro"] + x_ij[idx] + gn_exp) # equation 5 c_m = np.minimum(ctx.mag, CONSTANTS["m_c"]) # equation 4 r_ij = CONSTANTS["xcro"] + x_ij + np.exp(C["c1"] + C["c2"] * c_m) return C["gcr"] * np.log(r_ij) + C["gcrL"] * np.log(x_ij + 200.0) +\ g_n + C["ecr"] * x_ij + C["ecrV"] * ctx.rvolc + C["gamma_S"]
[docs]@get_distance_term.add(const.TRT.UPPER_MANTLE) def get_distance_term_um(trt, C, ctx, volc_arc_str=None, pgn_store=None, pgn_per_zone=None): """ Returns the distance attenuation term """ x_ij = ctx.rrup gn_exp = np.exp(C["c1"] + 6.5 * C["c2"]) g_n = C["gcrN"] * np.log(CONSTANTS["xcro"] + 30. + gn_exp) *\ np.ones_like(x_ij) idx = x_ij <= 30.0 if np.any(idx): g_n[idx] = C["gcrN"] * np.log(CONSTANTS["xcro"] + x_ij[idx] + gn_exp) c_m = np.minimum(ctx.mag, CONSTANTS["m_c"]) r_ij = CONSTANTS["xcro"] + x_ij + np.exp(C["c1"] + C["c2"] * c_m) return (C["gUM"] * np.log(r_ij) + C["gcrL"] * np.log(x_ij + 200.0) + g_n + C["eum"] * x_ij + C["ecrV"] * ctx.rvolc + C["gamma_S"])
[docs]@get_distance_term.add(const.TRT.SUBDUCTION_INTERFACE) def get_distance_term_SInter(trt, C, ctx, volc_arc_str=None, pgn_store=None, pgn_per_zone=None): """ Returns distance scaling term, dependent on top of rupture depth, as described in equation 6 """ x_ij = ctx.rrup # Get r_ij - distance for geometric spreading (equations 4 & 5) c_m = np.minimum(ctx.mag, CONSTANTS["m_c"]) r_ij = CONSTANTS["xinto"] + x_ij + np.exp(C["alpha"] + C["beta"] * c_m) # Get factors common to both shallow and deep dterm = C["gint"] * np.log(r_ij) + C["eintV"] * ctx.rvolc + C["gammaint"] dterm += np.where( ctx.ztor < 25., # Shallow events have geometric and anelastic attenuation term (C["gintLS"] * np.log(x_ij + 200.0) + C["eintS"] * x_ij + C["gamma_ints"]), # Deep events do not have an anelastic attenuation term C["gintLD"] * np.log(x_ij + 200.0)) return dterm
[docs]@get_distance_term.add(const.TRT.SUBDUCTION_INTRASLAB) def get_distance_term_sslab(trt, C, ctx, volc_arc_str=None, pgn_store=None, pgn_per_zone=None): """ Returns the distance scaling term in equation 2a Non-ergodic path effects are applied here if specified within an implementation of :class:`ZhaoEtAl2016SSlabPErg`. """ cctx = copy.copy(ctx) # Check if need to apply non-ergodic path effects if volc_arc_str is not None: # Get distance traversed per travel path through volcanic zones (rvolc), # with rvolc capped at 80km if total distance traversed through zones is # greater than 80km, and set to 12 km if zones are traversed but the # total distance is less than 12 km. This min/max constraint to rvolc # is detailed within the publications for the Zhao et al. 2016 GMMs r_volc = volc_perg.get_rvolcs(ctx, pgn_store, pgn_per_zone) cctx.rvolc = r_volc x_ij = cctx.rrup # Get anelastic scaling term in equation 5 qslh = np.where(cctx.ztor >= 50., C["eSLH"] * (0.02 * cctx.ztor - 1.0), 0) # Get r_ij - distance for geometric spreading (equations 3 and 4) c_m = np.minimum(cctx.mag, CONSTANTS["m_c"]) r_ij = x_ij + np.exp(C["alpha"] + C["beta"] * c_m) return C["gSL"] * np.log(r_ij) + \ C["gLL"] * np.log(x_ij + 200.) +\ C["eSL"] * x_ij + qslh * x_ij +\ C["eSLV"] * cctx.rvolc + C["gamma"]
def _get_ln_sf(trt, C, C_SITE, idx, n_sites, ctx): """ Returns the log SF term required for equation 9 For events deeper than 25 km the rock-site factor is slightly different for site classes SCII, SCIII, SCIV """ ln_sf = np.zeros(n_sites) subint = trt == const.TRT.SUBDUCTION_INTERFACE for i in range(1, 5): ln_sf[idx[i]] += C["lnSC1AM"] - C_SITE["LnAmax1D{:g}".format(i)] if i > 1: for sid in idx[i].nonzero()[0]: if subint and ctx.ztor[sid] > 25.0: # For deep events site classes 5, 6, and 7 are used loc = i + 3 else: # For shallow events the conventional approach applies loc = i ln_sf[sid] += C["S{:g}".format(loc)] return ln_sf def _get_ln_a_n_max(trt, C, n_sites, idx, ctx): """ Defines the rock site amplification defined in equations 7a and 7b For events deeper than 25 km the rock-site factor is slightly different for site classes SCII, SCIII, SCIV """ ln_a_n_max = C["lnSC1AM"] * np.ones(n_sites) subint = trt == const.TRT.SUBDUCTION_INTERFACE for i in [2, 3, 4]: for sid in idx[i].nonzero()[0]: # For deep events site classes 5, 6 and 7 are used if subint and ctx.ztor[sid] > 25.0: loc = i + 3 else: loc = i ln_a_n_max[sid] += C["S{:g}".format(loc)] return ln_a_n_max
[docs]def add_site_amplification(trt, C, C_SITE, sa_rock, idx, ctx): """ Applies the site amplification scaling defined in equations from 10 to 15 """ n_sites = len(ctx.vs30) # Convert from reference rock to hard rock hard_rock_sa = sa_rock - C["lnSC1AM"] # Gets the elastic site amplification ratio ln_a_n_max = _get_ln_a_n_max(trt, C, n_sites, idx, ctx) # Retrieves coefficients needed to determine smr sreff, sreffc, f_sr = _get_smr_coeffs(C, C_SITE, idx, n_sites, hard_rock_sa) snc = np.zeros(n_sites) alpha = CONSTANTS["alpha"] beta = CONSTANTS["beta"] smr = np.zeros(n_sites) sa_soil = hard_rock_sa + ln_a_n_max # Get lnSF ln_sf = _get_ln_sf(trt, C, C_SITE, idx, n_sites, ctx) lnamax_idx = np.exp(ln_a_n_max) < 1.25 not_lnamax_idx = np.logical_not(lnamax_idx) for i in range(1, 5): idx_i = idx[i] if not np.any(idx_i): # No sites of the given site class continue idx2 = np.logical_and(lnamax_idx, idx_i) if np.any(idx2): # Use the approximate method for SRC and SNC c_a = C_SITE["LnAmax1D{:g}".format(i)] /\ (np.log(beta) - np.log(sreffc[idx2] ** alpha + beta)) c_b = -c_a * np.log(sreffc[idx2] ** alpha + beta) snc[idx2] = np.exp((c_a * (alpha - 1.) * np.log(beta) * np.log(10.0 * beta) - np.log(10.0) * (c_b + ln_sf[idx2])) / (c_a * (alpha * np.log(10.0 * beta) - np.log(beta)))) # For the cases when ln_a_n_max >= 1.25 idx2 = np.logical_and(not_lnamax_idx, idx_i) if np.any(idx2): snc[idx2] = (np.exp((ln_a_n_max[idx2] * np.log(sreffc[idx2] ** alpha + beta) - ln_sf[idx2] * np.log(beta)) / C_SITE["LnAmax1D{:g}".format(i)]) - beta) **\ (1.0 / alpha) smr[idx_i] = sreff[idx_i] * (snc[idx_i] / sreffc[idx_i]) *\ f_sr[idx_i] # For the cases when site class = i and SMR != 0 idx2 = np.logical_and(idx_i, np.fabs(smr) > 0.0) if np.any(idx2): sa_soil[idx2] += (-C_SITE["LnAmax1D{:g}".format(i)] * (np.log(smr[idx2] ** alpha + beta) - np.log(beta)) / (np.log(sreffc[idx2] ** alpha + beta) - np.log(beta))) return sa_soil
def _get_smr_coeffs(C, C_SITE, idx, n_sites, sa_rock): """ Returns the SReff and SReffC terms needed for equation 14 and 15 """ # Get SR sreff = np.zeros(n_sites) sreffc = np.zeros(n_sites) f_sr = np.zeros(n_sites) for i in range(1, 5): sreff[idx[i]] += (np.exp(sa_rock[idx[i]]) * IMF[i]) sreffc[idx[i]] += (C_SITE["Src1D{:g}".format(i)] * IMF[i]) # Get f_SR f_sr[idx[i]] += C_SITE["fsr{:g}".format(i)] return sreff, sreffc, f_sr def _get_site_classification(vs30): """ Define the site class categories based on Vs30. Returns a vector of site class values and a dictionary containing logical vectors for each of the site classes """ site_class = np.ones(vs30.shape, dtype=int) idx = {} idx[1] = vs30 > 600. idx[2] = np.logical_and(vs30 > 300., vs30 <= 600.) idx[3] = np.logical_and(vs30 > 200., vs30 <= 300.) idx[4] = vs30 <= 200. for i in [2, 3, 4]: site_class[idx[i]] = i return site_class, idx
[docs]def get_volc_zones(volc_polygons): """ Construct polygons from the vertex coordinates provided for each volcanic zone and assign the associated zone id """ # Get the volc zone polygons with fiona.open(volc_polygons,'r') as inp: zone_id, zone_lons, zone_lats = {}, {}, {} for i, f in enumerate(inp): # Get zone_id zone_id[i] = pd.Series(f['properties'])[0] # Per zone get lat and lon of each polygon vertices for c, coo in enumerate(f['geometry']['coordinates'][0]): zone_lons[zone_id[i], c] = f['geometry']['coordinates'][0][c][0] zone_lats[zone_id[i], c] = f['geometry']['coordinates'][0][c][1] # Store all required info in dict pgn_store = {'zone': zone_id, 'zone_lons': zone_lons, 'zone_lats': zone_lats} # Set dict for volcanic zones zone_dict = {pgn_store['zone'][z]: {} for z in pgn_store['zone']} # Get polygon per zone pnts_zone, zone_pgn = zone_dict, zone_dict for zone in pgn_store['zone']: zid = pgn_store['zone'][zone] for c, coo in enumerate(pgn_store['zone_lons']): if pgn_store['zone'][zone] in coo: pnts_zone[zid][c] = Point(pgn_store['zone_lons'][zid, coo[1]], pgn_store['zone_lats'][zid, coo[1]]) zone_pnts = [] for coo in pnts_zone[zid]: zone_pnts.append(pnts_zone[zid][coo]) zone_pgn[zid] = Polygon(zone_pnts) return pgn_store, zone_pgn
[docs]class ZhaoEtAl2016Asc(GMPE): """ Implements the GMPE of Zhao et al (2016a) for shallow crustal and upper mantle events from Japan. Only the shallow crustal version is implemented here. Zhao, J. X., Zhou, S., Zhou, J., Zhao, C., Zhang, H., Zhang, Y., Gao, P., Lan, X., Rhoades, D. A., Fukushima, Y., Somerville, P., Irikura, K., (2016c), "Ground-Motion Prediction Equations for Shallow Crustal and Uppe-Mantle Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions", Bulletin of the Seismological Society of America, 106(4), 1518-1534 Main version with standard deviations independent of site term """ #: Supported tectonic region type is active shallow crust DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.ACTIVE_SHALLOW_CRUST #: Supported intensity measure types are spectral acceleration, #: and peak ground acceleration DEFINED_FOR_INTENSITY_MEASURE_TYPES = {PGA, SA} #: Supported intensity measure component is geometric mean #: of two horizontal components : DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.GEOMETRIC_MEAN #: Supported standard deviation types are inter-event, intra-event #: and total DEFINED_FOR_STANDARD_DEVIATION_TYPES = { const.StdDev.TOTAL, const.StdDev.INTER_EVENT, const.StdDev.INTRA_EVENT} #: Required site parameters is Vs30 (converted to site class) REQUIRES_SITES_PARAMETERS = {'vs30'} #: Required rupture parameters are magnitude, top-of-rupture depth and #: style of faulting (rake) REQUIRES_RUPTURE_PARAMETERS = {'mag', 'ztor', 'rake'} #: Required distance measure is Rrup and Rvolc REQUIRES_DISTANCES = {'rrup', 'rvolc'} def __init__(self, volc_arc_file=None): if volc_arc_file is not None: with open(volc_arc_file, 'rb') as fle: self.volc_arc_str = fle.read().decode('utf-8') self.pgn_store, self.pgn_per_zone = get_volc_zones( self.volc_arc_str) else: self.volc_arc_str = None self.pgn_store = None self.pgn_per_zone = None
[docs] def compute(self, ctx: np.recarray, imts, mean, sig, tau, phi): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.compute>` for spec of input and result values. """ for m, imt in enumerate(imts): C = self.COEFFS[imt] C_SITE = self.COEFFS_SITE[imt] trt = self.DEFINED_FOR_TECTONIC_REGION_TYPE _s_c, idx = _get_site_classification(ctx.vs30) volc_arc_str = self.volc_arc_str pgn_store = self.pgn_store pgn_per_zone = self.pgn_per_zone sa_rock = (get_magnitude_scaling_term(trt, C, ctx) + get_sof_term(trt, C, ctx) + get_depth_term(trt, C, ctx) + get_distance_term(trt, C, ctx, volc_arc_str, pgn_store, pgn_per_zone)) mean[m] = add_site_amplification(trt, C, C_SITE, sa_rock, idx, ctx) if self.__class__.__name__.endswith('SiteSigma'): for i in range(1, 5): phi[m, idx[i]] += C["sc{:g}_sigma_S".format(i)] else: phi[m] = C["sigma"] tau[m] = C["tau"] sig[m] = np.sqrt(phi[m] ** 2. + tau[m] ** 2.)
# Coefficients taken from Excel spreadsheet provided by the author COEFFS = CoeffsTable(sa_damping=5, table="""\ imt c1 c2 ccr cum dcr FN_CR FRV_UM FN_UM FUM bcr gcr gUM gcrN gcrL ecr eum ecrV gamma_S lnSC1AM S2 S3 S4 sigma tau sigma_T sc1_sigma_S sc1_tau_S sc1_sigma_ST sc2_sigma_S sc2_tau_S sc2_sigma_ST sc3_sigma_S sc3_tau_S sc3_sigma_ST sc4_sigma_S sc4_tau_S sc4_sigma_ST pga -3.224 0.900 1.07312 1.07312 0.20000 0.312820000000000 -0.20236 0.251935430429416 0.0 0.009070000000000 -1.26034 -1.09985 -0.49919 1.265640000000000 -0.00794 -0.010830000000000 -0.00628 -9.087242726439600 0.323 0.28877 0.12210 0.20813 0.556 0.391 0.680 0.4153 0.3581 0.5484 0.4363 0.3620 0.5669 0.4235 0.3486 0.5485 0.4426 0.2778 0.5225 0.005 -3.224 0.900 1.07312 1.07312 0.20000 0.312820000000000 -0.20236 0.251935430429416 0.0 0.009070000000000 -1.26034 -1.09985 -0.49919 1.265640000000000 -0.00794 -0.010830000000000 -0.00628 -9.087242726439600 0.323 0.28877 0.12210 0.20813 0.556 0.391 0.680 0.4153 0.3581 0.5484 0.4363 0.3620 0.5669 0.4235 0.3486 0.5485 0.4426 0.2778 0.5225 0.010 -3.357 0.909 1.07850 1.07850 0.20000 0.315680000000000 -0.21425 0.258372637504816 0.0 0.009070000000000 -1.26949 -1.10720 -0.48684 1.241487880676370 -0.00772 -0.010580000000000 -0.00629 -9.052058022318450 0.205 0.29991 0.10321 0.21925 0.556 0.390 0.679 0.4142 0.3581 0.5475 0.4356 0.3627 0.5668 0.4230 0.3482 0.5479 0.4419 0.2804 0.5233 0.020 -3.552 0.927 1.07254 1.07254 0.20000 0.318540000000000 -0.22125 0.260697166781076 0.0 0.009070000000000 -1.28775 -1.11766 -0.44645 1.198941940195550 -0.00756 -0.010505216376958 -0.00634 -8.857750749461700 0.083 0.29778 0.11109 0.21713 0.555 0.396 0.682 0.4123 0.3581 0.5460 0.4344 0.3646 0.5671 0.4226 0.3483 0.5477 0.4418 0.2823 0.5243 0.030 -3.640 0.937 1.05736 1.05736 0.20000 0.320220000000000 -0.22306 0.260150407731831 0.0 0.009070000000000 -1.29619 -1.11392 -0.42175 1.186537103020870 -0.00788 -0.011005243836384 -0.00647 -8.627942448779750 0.041 0.22535 0.08972 0.15948 0.553 0.408 0.687 0.4089 0.3625 0.5465 0.4307 0.3580 0.5601 0.4207 0.3544 0.5501 0.4415 0.2857 0.5259 0.040 -3.758 0.944 1.03568 1.03568 0.20000 0.321410000000000 -0.22334 0.258909018258196 0.0 0.009070000000000 -1.25147 -1.07971 -0.37622 1.142133802990220 -0.00863 -0.011487892527436 -0.00681 -8.398219253745690 0.034 0.15865 0.04037 0.07029 0.558 0.438 0.710 0.4072 0.3832 0.5591 0.4275 0.3666 0.5632 0.4208 0.3544 0.5501 0.4435 0.2881 0.5289 0.050 -3.826 0.948 1.00578 1.00578 0.20000 0.321850000000000 -0.22297 0.257458255516038 0.0 0.009070000000000 -1.14724 -0.98606 -0.43576 1.141373265957230 -0.00988 -0.012291799210266 -0.00710 -8.153070000000000 0.046 0.08257 -0.05934 -0.03529 0.564 0.460 0.728 0.4059 0.4052 0.5735 0.4294 0.3760 0.5708 0.4168 0.3508 0.5448 0.4446 0.2945 0.5332 0.060 -3.890 0.956 0.98413 0.98413 0.20000 0.324710000000000 -0.22229 0.255956496918906 0.0 0.009070000000000 -1.09126 -0.93901 -0.46789 1.157491249527060 -0.01075 -0.012739417109939 -0.00724 -8.003270000000000 0.069 0.05542 -0.10956 -0.09017 0.577 0.481 0.751 0.4066 0.4341 0.5948 0.4304 0.3911 0.5816 0.4156 0.3453 0.5404 0.4415 0.3082 0.5384 0.070 -3.965 0.967 0.98059 0.98059 0.20000 0.328600000000000 -0.22145 0.254464785542036 0.0 0.009070000000000 -1.04676 -0.90036 -0.50260 1.186791451212470 -0.01130 -0.013080135792042 -0.00734 -8.047830000000000 0.098 0.04177 -0.13262 -0.09583 0.599 0.488 0.772 0.4171 0.4517 0.6148 0.4329 0.4057 0.5933 0.4215 0.3605 0.5546 0.4407 0.3378 0.5552 0.080 -4.055 0.980 0.98634 0.98634 0.20000 0.329844812501483 -0.22053 0.253008191936176 0.0 0.009070000000000 -1.01364 -0.87064 -0.53802 1.223378486073060 -0.01164 -0.013312834482819 -0.00741 -8.196910000000000 0.132 0.06040 -0.13537 -0.07321 0.616 0.481 0.782 0.4255 0.4745 0.6374 0.4361 0.4247 0.6088 0.4220 0.3821 0.5693 0.4351 0.3557 0.5619 0.090 -4.153 0.995 0.99121 0.99121 0.20000 0.336373431249984 -0.21956 0.251596694854290 0.0 0.009070000000000 -0.99232 -0.85080 -0.57301 1.264040913700510 -0.01182 -0.013454810030999 -0.00746 -8.350790000000000 0.169 0.09304 -0.12513 -0.03629 0.629 0.477 0.789 0.4315 0.4884 0.6517 0.4417 0.4445 0.6266 0.4161 0.3958 0.5743 0.4374 0.3784 0.5784 0.100 -4.255 1.009 1.00033 1.00033 0.20000 0.340964949991461 -0.21858 0.250233442665255 0.0 0.009070000000000 -0.98315 -0.84175 -0.60839 1.305257984164180 -0.01184 -0.013478869951054 -0.00749 -8.524300000000000 0.208 0.15210 -0.07090 0.01110 0.641 0.460 0.789 0.4371 0.4932 0.6590 0.4478 0.4485 0.6338 0.4241 0.4229 0.5989 0.4402 0.4182 0.6072 0.120 -4.466 1.040 1.03440 1.03440 0.20000 0.345623419543235 -0.21661 0.247649908306841 0.0 0.009579251858235 -0.97311 -0.82925 -0.67012 1.392835221341830 -0.01174 -0.013487990193394 -0.00751 -9.054780000000000 0.288 0.26161 0.00261 0.10298 0.657 0.437 0.789 0.4515 0.4927 0.6683 0.4476 0.4641 0.6448 0.4332 0.4768 0.6442 0.4594 0.4216 0.6236 0.140 -4.677 1.070 1.08388 1.08388 0.20000 0.345964793275106 -0.21469 0.245243568556044 0.0 0.010548033973543 -0.98324 -0.83484 -0.72524 1.477695244453800 -0.01142 -0.013335243001700 -0.00748 -9.676400000000000 0.370 0.35467 0.11202 0.21434 0.663 0.414 0.782 0.4559 0.4906 0.6697 0.4553 0.4758 0.6586 0.4347 0.4592 0.6323 0.4697 0.3869 0.6085 0.150 -4.781 1.085 1.10602 1.10602 0.20000 0.344999481637875 -0.21374 0.244100676565134 0.0 0.011218017682426 -0.99261 -0.84153 -0.74977 1.518814263594270 -0.01123 -0.013231344388198 -0.00746 -9.965950000000000 0.412 0.39410 0.15670 0.25574 0.666 0.402 0.778 0.4594 0.4815 0.6655 0.4547 0.4817 0.6624 0.4380 0.4519 0.6294 0.4707 0.3867 0.6092 0.160 -4.883 1.100 1.12674 1.12674 0.20000 0.343465417412490 -0.21282 0.242994687815017 0.0 0.011700559401692 -1.00423 -0.85033 -0.77240 1.558838786529320 -0.01101 -0.013114569632387 -0.00743 -10.241600000000000 0.453 0.42523 0.19678 0.29811 0.671 0.384 0.773 0.4647 0.4725 0.6627 0.4607 0.4820 0.6668 0.4419 0.4617 0.6391 0.4744 0.3788 0.6071 0.180 -5.085 1.129 1.16455 1.16455 0.20000 0.339107164829684 -0.21102 0.240884343952180 0.0 0.012332909878059 -1.03299 -0.87328 -0.81285 1.634757732666460 -0.01054 -0.012840476069927 -0.00735 -10.752000000000000 0.535 0.47642 0.27414 0.36360 0.680 0.380 0.779 0.4721 0.4640 0.6619 0.4697 0.4830 0.6737 0.4514 0.4660 0.6488 0.4784 0.3903 0.6174 0.200 -5.233 1.151 1.19837 1.19837 0.20000 0.333545099152249 -0.20929 0.238895952015333 0.0 0.013457084876985 -1.06493 -0.89945 -0.84625 1.706045133394880 -0.01007 -0.012558176324852 -0.00725 -11.224920000000000 0.606 0.51169 0.33785 0.42568 0.692 0.359 0.780 0.4722 0.4708 0.6668 0.4800 0.4932 0.6882 0.4493 0.4452 0.6325 0.4825 0.4010 0.6274 0.250 -5.229 1.151 1.27000 1.27000 0.20000 0.316942763583834 -0.20526 0.234370987754789 0.0 0.016170000000000 -1.15136 -0.97276 -0.90575 1.862468560694100 -0.00890 -0.011816876971470 -0.00696 -12.262750000000000 0.670 0.55177 0.47868 0.55643 0.694 0.340 0.773 0.4780 0.4650 0.6669 0.4882 0.5436 0.7306 0.4626 0.4192 0.6243 0.4843 0.3942 0.6244 0.300 -5.226 1.151 1.32852 1.32852 0.20000 0.299124734648411 -0.20159 0.230357423625167 0.0 0.018310000000000 -1.23723 -1.04809 -0.93933 1.991624592628190 -0.00784 -0.011099993928613 -0.00661 -13.141810000000000 0.710 0.55325 0.57391 0.65844 0.688 0.344 0.770 0.4906 0.4595 0.6722 0.4991 0.5246 0.7241 0.4833 0.4356 0.6507 0.4930 0.3725 0.6179 0.350 -5.223 1.151 1.37801 1.37801 0.20000 0.281669557686284 -0.19822 0.226742010930494 0.0 0.019800000000000 -1.31736 -1.12034 -0.95403 2.098225191698050 -0.00691 -0.010436248715154 -0.00624 -13.902540000000000 0.719 0.53555 0.63824 0.73536 0.675 0.353 0.762 0.4918 0.4432 0.6621 0.5043 0.4872 0.7012 0.4783 0.4689 0.6698 0.4914 0.3421 0.5988 0.400 -5.221 1.151 1.42087 1.42087 0.20000 0.265209162746323 -0.19511 0.223445783566271 0.0 0.020780000000000 -1.38989 -1.18735 -0.95484 2.186300573524260 -0.00610 -0.009830759490494 -0.00586 -14.573550000000000 0.706 0.50855 0.67945 0.79334 0.667 0.363 0.759 0.4951 0.4296 0.6555 0.5074 0.4722 0.6931 0.4720 0.4821 0.6747 0.4783 0.3466 0.5907 0.450 -5.218 1.151 1.45868 1.45868 0.20000 0.249966529741596 -0.19221 0.220411614509675 0.0 0.021380000000000 -1.45461 -1.24859 -0.94513 2.259336928898360 -0.00541 -0.009285306710044 -0.00548 -15.173840000000000 0.693 0.47913 0.70517 0.83853 0.665 0.359 0.756 0.4927 0.4310 0.6546 0.5074 0.4651 0.6883 0.4944 0.4638 0.6779 0.4787 0.3594 0.5986 0.500 -5.216 1.151 1.49250 1.49250 0.19000 0.235980866829892 -0.18950 0.217596832776964 0.0 0.021680000000000 -1.51219 -1.30439 -0.92771 2.319726842585720 -0.00482 -0.008788091918160 -0.00511 -15.715670000000000 0.681 0.45094 0.72065 0.87505 0.664 0.361 0.756 0.4890 0.4323 0.6527 0.5149 0.4493 0.6834 0.4949 0.4327 0.6574 0.4764 0.3998 0.6220 0.600 -5.213 1.151 1.55102 1.55102 0.17800 0.211571038601388 -0.18454 0.212501492886060 0.0 0.021610000000000 -1.60834 -1.40097 -0.87661 2.410718513737190 -0.00387 -0.007921609069809 -0.00439 -16.662190000000000 0.658 0.39849 0.72820 0.92621 0.669 0.362 0.761 0.4792 0.4402 0.6507 0.5177 0.4472 0.6841 0.4848 0.4577 0.6668 0.4854 0.4454 0.6588 0.700 -5.210 1.151 1.60051 1.60051 0.16200 0.191334420072367 -0.18008 0.207971451817460 0.0 0.020940000000000 -1.68374 -1.48074 -0.81164 2.471787807358160 -0.00315 -0.007193263566848 -0.00374 -17.467280000000000 0.637 0.35254 0.71582 0.95627 0.670 0.370 0.765 0.4665 0.4390 0.6406 0.5044 0.4515 0.6770 0.4816 0.4712 0.6737 0.4707 0.4982 0.6854 0.800 -5.208 1.151 1.64337 1.64337 0.14800 0.174557580328734 -0.17602 0.203882937318070 0.0 0.019870000000000 -1.74306 -1.54711 -0.73894 2.511003526994950 -0.00261 -0.006567782184498 -0.00315 -18.164530000000000 0.618 0.31707 0.69660 0.97619 0.674 0.378 0.773 0.4600 0.4491 0.6429 0.4954 0.4504 0.6696 0.4751 0.4622 0.6628 0.4837 0.5183 0.7089 0.900 -5.206 1.151 1.68118 1.68118 0.13600 0.160616866070260 -0.17229 0.200149921480523 0.0 0.018540000000000 -1.78967 -1.60263 -0.66214 2.534178788957430 -0.00220 -0.006025164356083 -0.00261 -18.777980000000000 0.600 0.28896 0.67366 0.98819 0.673 0.386 0.775 0.4541 0.4579 0.6449 0.4834 0.4559 0.6645 0.4554 0.4781 0.6603 0.4729 0.5358 0.7146 1.000 -5.204 1.151 1.71500 1.71500 0.12500 0.149000000000001 -0.16883 0.196710000000000 0.0 0.017040000000000 -1.82603 -1.64914 -0.58347 2.545383253429940 -0.00189 -0.005550701319875 -0.00214 -19.325620000000000 0.583 0.26685 0.64985 0.99485 0.670 0.390 0.776 0.4475 0.4663 0.6463 0.4720 0.4593 0.6586 0.4415 0.4743 0.6480 0.4709 0.5240 0.7045 1.250 -5.200 1.151 1.78663 1.78663 0.10100 0.127608506221474 -0.16113 0.189110834221069 0.0 0.012920000000000 -1.88672 -1.73810 -0.40237 2.547066045238380 -0.00139 -0.004579681056724 -0.00119 -20.467050000000000 0.545 0.22889 0.59394 0.99639 0.660 0.399 0.771 0.4404 0.4644 0.6400 0.4595 0.4606 0.6506 0.4380 0.4495 0.6276 0.4627 0.4932 0.6763 1.500 -5.196 1.151 1.84515 1.84515 0.08300 0.113816631375633 -0.15447 0.182585464558957 0.0 0.008630000000000 -1.91705 -1.79802 -0.24053 2.525806060977580 -0.00116 -0.003841842878586 -0.00054 -21.388220000000000 0.511 0.20778 0.55120 0.98814 0.656 0.397 0.767 0.4284 0.4546 0.6247 0.4499 0.4688 0.6497 0.4219 0.4633 0.6266 0.4564 0.4942 0.6727 2.000 -5.191 1.151 1.93750 1.93750 0.05300 0.099176091595634 -0.14326 0.171710489423896 0.0 0.000420000000000 -1.93178 -1.86912 -0.03590 2.497512890223570 -0.00109 -0.002838451894609 0.00000 -22.811700000000000 0.454 0.18675 0.50247 0.96004 0.631 0.381 0.737 0.4148 0.4190 0.5896 0.4374 0.4530 0.6297 0.4172 0.4718 0.6298 0.4323 0.5195 0.6758 2.500 -5.187 1.151 2.00913 2.00913 0.02967 0.093289958829313 -0.13399 0.162787337116202 0.0 -0.006870000000000 -1.91787 -1.90393 0.08743 2.478890119830560 -0.00125 -0.002226291691253 0.00000 -23.905120000000000 0.406 0.17749 0.48879 0.92903 0.605 0.376 0.713 0.4003 0.4084 0.5718 0.4343 0.4310 0.6119 0.3955 0.4530 0.6014 0.4128 0.5059 0.6529 3.000 -5.183 1.151 2.06765 2.06765 0.01078 0.091055639803074 -0.12604 0.155180191692808 0.0 -0.013150000000000 -1.89632 -1.92241 0.17408 2.464735244149810 -0.00144 -0.001844374770841 0.00000 -24.794480000000000 0.364 0.16807 0.48245 0.89351 0.591 0.363 0.694 0.4033 0.4052 0.5717 0.4328 0.4152 0.5997 0.3995 0.4030 0.5674 0.4170 0.4886 0.6424 3.500 -5.181 1.151 2.12357 2.12357 0.00000 0.090028774676100 -0.11905 0.148526449306405 0.0 -0.018490000000000 -1.87695 -1.93474 0.24501 2.452674190639510 -0.00159 -0.001603938312670 0.00000 -25.588720000000000 0.327 0.15988 0.47612 0.85603 0.578 0.363 0.682 0.4026 0.3861 0.5578 0.4214 0.3953 0.5778 0.4131 0.3803 0.5615 0.4265 0.4928 0.6517 4.000 -5.178 1.151 2.13734 2.13734 0.00000 0.088965758728213 -0.11280 0.142598301048652 0.0 -0.022980000000000 -1.86168 -1.94360 0.31173 2.442705939276230 -0.00171 -0.001487903801684 0.00000 -26.046350000000000 0.294 0.15433 0.46978 0.81676 0.556 0.376 0.671 0.3804 0.3756 0.5346 0.4264 0.3681 0.5633 0.4060 0.3228 0.5187 0.4259 0.4510 0.6203 4.500 -5.176 1.151 2.13734 2.13734 0.00000 0.087216625027152 -0.10713 0.137242613236394 0.0 -0.026720000000000 -1.85415 -1.95343 0.37949 2.433909230947000 -0.00176 -0.001451647632538 0.00000 -26.370080000000000 0.263 0.15116 0.46344 0.77379 0.542 0.377 0.661 0.3736 0.3595 0.5185 0.4290 0.3589 0.5593 0.3921 0.3069 0.4979 0.4256 0.4386 0.6111 5.000 -5.174 1.151 2.13734 2.13734 0.00000 0.084444226520033 -0.10194 0.132351162212196 0.0 -0.029800000000000 -1.85292 -1.96352 0.45204 2.426728340621800 -0.00177 -0.001498616447348 0.00000 -26.677970000000000 0.235 0.15275 0.45711 0.72802 0.538 0.395 0.667 0.3831 0.3594 0.5253 0.4378 0.3298 0.5481 0.3779 0.3076 0.4873 0.4195 0.3774 0.5643 """) # Coefficients specific to the site amplification COEFFS_SITE = CoeffsTable(sa_damping=5, table="""\ imt LnAmax1D1 LnAmax1D2 LnAmax1D3 LnAmax1D4 Src1D1 Src1D2 Src1D3 Src1D4 fsr1 fsr2 fsr3 fsr4 pga 0.650220 0.709730 0.644340 0.404280 8.429000 1.913680 1.117140 0.836440 1.000000 1.000000 1.000000 1.000000 0.005 0.650220 0.709730 0.644340 0.404280 8.429000 1.913680 1.117140 0.836440 1.000000 1.000000 1.000000 1.000000 0.010 0.651810 0.706790 0.646240 0.404280 8.090000 1.882560 1.114440 0.836440 1.000000 1.200000 1.000000 1.000000 0.020 0.653620 0.694650 0.638650 0.387890 6.992000 1.778610 1.124370 0.830000 1.000000 1.300000 1.000000 0.949000 0.030 0.654670 0.687550 0.634210 0.378300 6.350000 1.717810 1.130170 0.826240 1.000000 1.253000 1.000000 0.550000 0.040 0.652850 0.698920 0.606040 0.317370 4.883000 2.052340 1.150800 0.767580 1.000000 1.064000 1.000000 0.477000 0.050 0.672640 0.701370 0.617160 0.309340 5.043000 2.387130 1.239710 0.786320 1.000000 1.120000 1.000000 0.492000 0.060 0.699660 0.724450 0.637970 0.325300 6.271000 2.833990 1.348190 0.837750 1.000000 1.207000 1.000000 0.531000 0.070 0.717130 0.743430 0.654370 0.354120 7.667000 3.294470 1.451810 0.926160 1.000000 1.238000 1.000000 0.613000 0.080 0.716030 0.785980 0.680190 0.392820 9.034000 3.990910 1.583150 1.022280 1.000000 1.360000 1.000000 0.693000 0.090 0.725610 0.797210 0.708890 0.421840 11.251000 4.465760 1.732920 1.118020 1.000000 1.355000 1.000000 0.780000 0.100 0.742000 0.816680 0.718810 0.437360 14.817000 5.045610 1.841340 1.165780 1.000000 1.341000 1.080000 0.816000 0.120 0.762360 0.845230 0.725810 0.472080 14.817000 5.899600 2.030290 1.285510 0.000000 1.195000 1.093000 0.998000 0.140 0.752150 0.782960 0.745250 0.512780 14.817000 5.053530 2.281330 1.398080 0.000000 0.835000 0.948000 0.954000 0.150 0.738190 0.794800 0.761030 0.534320 14.817000 5.204900 2.444130 1.443270 0.000000 0.781000 0.908000 0.942000 0.160 0.719110 0.808610 0.768130 0.550220 14.817000 5.386940 2.580170 1.471770 0.000000 0.738000 0.862000 0.927000 0.180 0.654080 0.843310 0.756900 0.572790 14.817000 5.871650 2.741610 1.546940 0.000000 0.684000 0.745000 0.927000 0.200 0.583950 0.877700 0.717850 0.596740 14.817000 6.573910 2.825870 1.644010 0.000000 0.654000 0.623000 0.949000 0.250 0.583950 0.937670 0.654700 0.611360 14.817000 8.500000 2.718930 1.790130 0.000000 0.683000 0.436000 0.970000 0.300 0.583950 0.950000 0.696190 0.626380 14.817000 10.670300 2.417590 1.823450 0.000000 0.691000 0.400000 0.961000 0.350 0.583950 1.000000 0.779070 0.630120 14.817000 10.670300 2.303750 1.790370 0.000000 0.800000 0.433000 0.948000 0.400 0.583950 1.000000 0.827760 0.647730 14.817000 10.670300 2.236250 1.768440 0.000000 0.876000 0.460000 0.965000 0.450 0.583950 1.000000 0.876450 0.641520 14.817000 10.670300 2.216780 1.675390 0.000000 0.966000 0.496000 0.958000 0.500 0.583950 1.000000 0.925140 0.655820 14.817000 10.670300 2.243380 1.625390 0.000000 1.034000 0.529000 0.984000 0.600 0.583950 1.000000 0.973830 0.686680 14.817000 10.670300 2.805350 1.524530 0.000000 1.206000 0.578000 1.055000 0.700 0.583950 1.000000 1.022520 0.705600 14.817000 10.670300 6.658390 1.397240 0.000000 1.314000 0.578000 1.114000 0.800 0.583950 1.000000 1.071220 0.714290 14.817000 10.670300 30.000000 1.320290 0.000000 1.357000 0.578000 1.175000 0.900 0.583950 1.000000 1.119910 0.703880 14.817000 10.670300 30.000000 1.266370 0.000000 1.357000 0.578000 1.216000 1.000 0.583950 1.000000 1.168600 0.678130 14.817000 10.670300 30.000000 1.226800 0.000000 1.357000 0.000000 1.230000 1.250 0.583950 1.000000 1.217290 0.611190 14.817000 10.670300 30.000000 1.220650 0.000000 0.000000 0.000000 1.192000 1.500 0.583950 1.000000 1.265980 0.547360 14.817000 10.670300 30.000000 1.318050 0.000000 0.000000 0.000000 0.942000 2.000 0.583950 1.000000 1.314670 0.459440 14.817000 10.670300 30.000000 2.124850 0.000000 0.000000 0.000000 0.000000 2.500 0.583950 1.000000 1.363360 0.408460 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 3.000 0.583950 1.000000 1.412050 0.364210 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 3.500 0.583950 1.000000 1.460750 0.329840 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 4.000 0.583950 1.000000 1.509440 0.309120 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 4.500 0.583950 1.000000 1.558130 0.292510 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 5.000 0.583950 1.000000 1.606820 0.547360 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 """)
[docs]class ZhaoEtAl2016AscSiteSigma(ZhaoEtAl2016Asc): """ Adaption of the Zhao et al (2016a) GMPE for active shallow crust events for the case when within-event variability is dependent on site class """
[docs]class ZhaoEtAl2016UpperMantle(ZhaoEtAl2016Asc): """ Adaptation of the Zhao et al. (2016a) GMPE for the upper mantle events """ #: Supported tectonic region type is upper mantle DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.UPPER_MANTLE # For Upper Mantle COEFFS_SITE = CoeffsTable(sa_damping=5, table="""\ imt LnAmax1D1 LnAmax1D2 LnAmax1D3 LnAmax1D4 Src1D1 Src1D2 Src1D3 Src1D4 fsr1 fsr2 fsr3 fsr4 pga 0.650220 0.709730 0.644340 0.404280 8.429000 1.913680 1.117140 0.836440 1.000000 1.000000 1.000000 1.000000 0.005 0.650220 0.709730 0.644340 0.404280 8.429000 1.913680 1.117140 0.836440 1.000000 1.000000 1.000000 1.000000 0.010 0.651810 0.706790 0.646240 0.404280 8.090000 1.882560 1.114440 0.836440 1.000000 1.000000 1.000000 1.000000 0.020 0.653620 0.694650 0.638650 0.387890 6.992000 1.778610 1.124370 0.830000 1.000000 1.000000 1.000000 1.150000 0.030 0.654670 0.687550 0.634210 0.378300 6.350000 1.717810 1.130170 0.826240 1.000000 1.000000 1.000000 0.800000 0.040 0.652850 0.698920 0.606040 0.317370 4.883000 2.052340 1.150800 0.767580 1.000000 1.000000 1.000000 0.613000 0.050 0.672640 0.701370 0.617160 0.309340 5.043000 2.387130 1.239710 0.786320 1.000000 1.000000 1.000000 0.542000 0.060 0.699660 0.724450 0.637970 0.325300 6.271000 2.833990 1.348190 0.837750 1.000000 1.000000 1.000000 0.534000 0.070 0.717130 0.743430 0.654370 0.354120 7.667000 3.294470 1.451810 0.926160 1.000000 1.000000 1.000000 0.583000 0.080 0.716030 0.785980 0.680190 0.392820 9.034000 3.990910 1.583150 1.022280 1.000000 1.000000 0.830000 0.643000 0.090 0.725610 0.797210 0.708890 0.421840 11.251000 4.465760 1.732920 1.118020 1.000000 1.000000 0.706000 0.674000 0.100 0.742000 0.816680 0.718810 0.437360 14.817000 5.045610 1.841340 1.165780 1.000000 1.000000 0.800000 0.694000 0.120 0.762360 0.845230 0.725810 0.472080 14.817000 5.899600 2.030290 1.285510 0.000000 1.000000 0.759000 0.763000 0.140 0.752150 0.782960 0.745250 0.512780 14.817000 5.053530 2.281330 1.398080 0.000000 0.767000 0.715000 0.684000 0.150 0.738190 0.794800 0.761030 0.534320 14.817000 5.204900 2.444130 1.443270 0.000000 0.708000 0.686000 0.645000 0.160 0.719110 0.808610 0.768130 0.550220 14.817000 5.386940 2.580170 1.471770 0.000000 0.657000 0.644000 0.610000 0.180 0.654080 0.843310 0.756900 0.572790 14.817000 5.871650 2.741610 1.546940 0.000000 0.568000 0.549000 0.532000 0.200 0.583950 0.877700 0.717850 0.596740 14.817000 6.573910 2.825870 1.644010 0.000000 0.509000 0.434000 0.468000 0.250 0.583950 0.937670 0.654700 0.611360 14.817000 8.500000 2.718930 1.790130 0.000000 0.433000 0.292000 0.291000 0.300 0.583950 0.950000 0.696190 0.626380 14.817000 10.670300 2.417590 1.823450 0.000000 0.337000 0.275000 0.275000 0.350 0.583950 1.000000 0.779070 0.630120 14.817000 10.670300 2.303750 1.790370 0.000000 0.337000 0.295000 0.295000 0.400 0.583950 1.000000 0.827760 0.647730 14.817000 10.670300 2.236250 1.768440 0.000000 0.337000 0.293000 0.293000 0.450 0.583950 1.000000 0.876450 0.641520 14.817000 10.670300 2.216780 1.675390 0.000000 0.000000 0.000000 0.000000 0.500 0.583950 1.000000 0.925140 0.655820 14.817000 10.670300 2.243380 1.625390 0.000000 0.000000 0.000000 0.000000 0.600 0.583950 1.000000 0.973830 0.686680 14.817000 10.670300 2.805350 1.524530 0.000000 0.000000 0.000000 0.000000 0.700 0.583950 1.000000 1.022520 0.705600 14.817000 10.670300 6.658390 1.397240 0.000000 0.000000 0.000000 0.000000 0.800 0.583950 1.000000 1.071220 0.714290 14.817000 10.670300 30.000000 1.320290 0.000000 0.000000 0.000000 0.000000 0.900 0.583950 1.000000 1.119910 0.703880 14.817000 10.670300 30.000000 1.266370 0.000000 0.000000 0.000000 0.000000 1.000 0.583950 1.000000 1.168600 0.678130 14.817000 10.670300 30.000000 1.226800 0.000000 0.000000 0.000000 0.000000 1.250 0.583950 1.000000 1.217290 0.611190 14.817000 10.670300 30.000000 1.220650 0.000000 0.000000 0.000000 0.000000 1.500 0.583950 1.000000 1.265980 0.547360 14.817000 10.670300 30.000000 1.318050 0.000000 0.000000 0.000000 0.000000 2.000 0.583950 1.000000 1.314670 0.459440 14.817000 10.670300 30.000000 2.124850 0.000000 0.000000 0.000000 0.000000 2.500 0.583950 1.000000 1.363360 0.408460 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 3.000 0.583950 1.000000 1.412050 0.364210 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 3.500 0.583950 1.000000 1.460750 0.329840 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 4.000 0.583950 1.000000 1.509440 0.309120 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 4.500 0.583950 1.000000 1.558130 0.292510 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 5.000 0.583950 1.000000 1.606820 0.547360 14.817000 10.670300 30.000000 14.381810 0.000000 0.000000 0.000000 0.000000 """)
[docs]class ZhaoEtAl2016UpperMantleSiteSigma(ZhaoEtAl2016UpperMantle): """ Adaption of the Zhao et al (2016a) GMPE for upper mantle events for the case when within-event variability is dependent on site class """
[docs]class ZhaoEtAl2016SInter(ZhaoEtAl2016Asc): """ Implements the subduction interface GMPE of Zhao et al (2016b) Zhao, J. X., Liang, X., Jiang, F., Xing, H., Zhu, M., Hou, R., Zhang, Y., Lan, X., Rhoades, D. A., Irikura, K., Fukushima, Y., Somerville, P. (2016b), "Ground-Motion Prediction Equations for Subduction Interface Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions", Bulletin of the Seismological Society of America, 106(4), 1518-1534 Main version with standard deviations independent of site term """ #: Supported tectonic region type is subduction interface DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.SUBDUCTION_INTERFACE #: Required rupture parameters are magnitude and top-of-rupture depth REQUIRES_RUPTURE_PARAMETERS = {'mag', 'ztor'} # Coefficients table taken from spreadsheet supplied by the author COEFFS = CoeffsTable(sa_damping=5, table="""\ imt alpha beta cint cintS dint gamma_ints bint gint gintLD gintLS eintV eintS gammaint S2 S3 S4 S5 S6 S7 lnSC1AM sigma tau sigma_T sc1_sigma_S sc1_tau_S sc1_sigma_ST sc2_sigma_S sc2_tau_T sc2_sigma_ST sc3_sigma_S sc3_tau_S sc3_sigma_ST sc4_sigma_S sc4_tau_S sc4_sigma_ST pga -5.3011890395444800 1.151 1.09973 1.31479 0.553 -3.89528 0.01999 -2.05587 0.545410000000000 1.133644136349760 -0.01123 -0.00628 -4.49858 0.31288 -0.0043099999999998 0.22838 0.31288 -0.0043099999999998 0.22838 0.3059054757248630 0.553 0.377 0.669 0.398 0.419 0.571 0.417 0.424 0.597 0.409 0.376 0.544 0.415 0.346 0.574 0.005 -5.3011890395444800 1.151 1.09973 1.31479 0.553 -3.89528 0.01999 -2.05587 0.545410000000000 1.133644136349760 -0.01123 -0.00628 -4.49858 0.31288 -0.0043099999999998 0.22838 0.31288 -0.0043099999999998 0.22838 0.3059054757248630 0.553 0.377 0.669 0.398 0.419 0.571 0.417 0.424 0.597 0.409 0.376 0.544 0.415 0.346 0.574 0.010 -5.2884351314221800 1.151 1.09848 1.31739 0.553 -3.89528 0.01999 -2.06565 0.549750000000000 1.133647532106160 -0.01125 -0.00625 -4.45894 0.30850 -0.0111500000000002 0.22305 0.30850 -0.0111500000000002 0.22305 0.2211189175034500 0.554 0.377 0.670 0.397 0.420 0.571 0.417 0.424 0.598 0.409 0.377 0.545 0.415 0.348 0.543 0.020 -5.2756812232998800 1.151 1.09227 1.31919 0.553 -3.89528 0.01999 -2.10231 0.561715000000000 1.133645539711160 -0.01127 -0.00616 -4.25807 0.29297 -0.0216599999999998 0.20892 0.29297 -0.0216599999999998 0.20892 0.1391818272825550 0.553 0.384 0.673 0.395 0.425 0.574 0.417 0.425 0.598 0.408 0.376 0.544 0.416 0.352 0.544 0.030 -5.2682206653106900 1.151 1.10690 1.34096 0.553 -3.89528 0.02066 -2.19232 0.578870000000000 1.133638051189290 -0.01158 -0.00572 -3.91800 0.22869 -0.1129091455512500 0.13314 0.22869 -0.0829091455512501 0.16314 0.0928148352701154 0.555 0.397 0.682 0.389 0.444 0.586 0.418 0.422 0.595 0.409 0.386 0.553 0.417 0.355 0.546 0.040 -5.2629273151775800 1.151 1.11578 1.38051 0.553 -3.89528 0.02308 -2.24640 0.493330000000000 0.988105377906839 -0.01203 -0.00532 -3.11423 0.16316 -0.1887005077743300 0.06959 0.16316 -0.1887005077743300 0.05959 0.0626979621246270 0.565 0.428 0.709 0.387 0.474 0.611 0.420 0.434 0.604 0.413 0.393 0.557 0.420 0.362 0.555 0.050 -5.2588214738333900 1.151 1.10234 1.43246 0.553 -3.89528 0.02709 -2.29341 0.491000000000000 0.904439734658832 -0.01256 -0.00503 -2.76035 0.12129 -0.2283118706921090 0.02845 0.12129 -0.2283118706921090 0.00845 0.0360112352938003 0.570 0.463 0.734 0.387 0.486 0.620 0.422 0.440 0.608 0.409 0.384 0.554 0.422 0.375 0.562 0.060 -5.2554667571883900 1.151 1.08611 1.46238 0.553 -3.89528 0.02972 -2.31172 0.508475000000000 0.887664211721920 -0.01312 -0.00528 -2.64088 0.12345 -0.2192024788530120 0.00070 0.12345 -0.2192024788530120 0.00070 0.0372315296271544 0.583 0.488 0.760 0.397 0.500 0.632 0.416 0.449 0.614 0.401 0.379 0.550 0.423 0.388 0.571 0.070 -5.2526303846795600 1.151 1.07291 1.47120 0.553 -3.89528 0.03207 -2.31101 0.527500000000000 0.904912893427476 -0.01359 -0.00569 -2.65622 0.13970 -0.1900877585085220 -0.00949 0.13970 -0.1900877585085220 0.00551 0.0491648511532895 0.602 0.501 0.784 0.403 0.531 0.658 0.412 0.466 0.628 0.394 0.377 0.558 0.420 0.410 0.587 0.080 -5.2501734070552700 1.151 1.06383 1.46432 0.553 -3.89461 0.03196 -2.28778 0.545953146186990 0.942062229717542 -0.01382 -0.00619 -2.75266 0.16385 -0.1549929496094120 -0.00485 0.16385 -0.1549929496094120 0.01415 0.0983337731804003 0.614 0.501 0.793 0.413 0.553 0.681 0.412 0.489 0.647 0.389 0.374 0.552 0.423 0.416 0.591 0.090 -5.2480061991992000 1.151 1.05863 1.44695 0.553 -3.90179 0.02972 -2.24680 0.563067703920420 0.986519531877540 -0.01393 -0.00673 -2.89920 0.20501 -0.1125034957053890 0.03047 0.20501 -0.1125034957053890 0.04047 0.1753764826899090 0.625 0.495 0.797 0.422 0.559 0.688 0.412 0.521 0.672 0.391 0.381 0.557 0.427 0.435 0.604 0.100 -5.2460675657110900 1.151 1.05673 1.42323 0.553 -3.90765 0.02789 -2.20410 0.576153228856880 1.035532649999650 -0.01395 -0.00718 -3.07698 0.24449 -0.0750832172171707 0.06080 0.24449 -0.0750832172171707 0.07080 0.2447184227049870 0.637 0.478 0.796 0.429 0.562 0.693 0.418 0.540 0.687 0.394 0.409 0.574 0.426 0.469 0.632 0.120 -5.2427128490660800 1.151 1.06051 1.36833 0.553 -3.91644 0.02470 -2.12011 0.592575859588849 1.135292002539040 -0.01381 -0.00793 -3.48283 0.32284 0.0150002886394358 0.14231 0.32284 0.0150002886394358 0.14031 0.3366973661131230 0.646 0.453 0.789 0.440 0.564 0.697 0.429 0.537 0.684 0.428 0.480 0.635 0.445 0.517 0.670 0.140 -5.2398764765572600 1.151 1.07135 1.31558 0.553 -3.92273 0.02117 -2.04337 0.609834200714791 1.234237180364630 -0.01351 -0.00853 -3.91612 0.40120 0.0969875152845021 0.22696 0.40120 0.0969875152845021 0.20196 0.4219918629306410 0.654 0.412 0.773 0.441 0.556 0.692 0.435 0.560 0.712 0.433 0.440 0.599 0.442 0.507 0.670 0.150 -5.2386070077219000 1.151 1.07856 1.29277 0.553 -3.92526 0.01951 -2.01088 0.619605756588544 1.281341268532020 -0.01333 -0.00879 -4.13481 0.43622 0.1458772263727260 0.25758 0.43622 0.1358772263727260 0.23258 0.4561999113437010 0.659 0.404 0.773 0.450 0.552 0.690 0.440 0.574 0.724 0.420 0.427 0.592 0.440 0.504 0.663 0.160 -5.2374194989329700 1.151 1.08664 1.27319 0.553 -3.92753 0.01793 -1.98301 0.630846000686806 1.326585227368230 -0.01312 -0.00902 -4.35243 0.46736 0.1879291503650610 0.30748 0.46736 0.1729291503650610 0.26248 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0.753 0.474 0.493 0.650 0.470 0.551 0.723 0.459 0.398 0.572 0.432 0.448 0.637 0.300 -5.2258530995996000 1.151 1.22970 1.22846 0.553 -3.94547 0.00438 -1.89141 0.859387831257168 1.781266639239090 -0.00998 -0.00952 -7.02003 0.60465 0.5161970850888910 0.57779 0.60465 0.5161970850888910 0.57779 0.6505259707420690 0.640 0.348 0.729 0.472 0.471 0.632 0.475 0.509 0.695 0.437 0.421 0.579 0.432 0.442 0.623 0.350 -5.2230167270907800 1.151 1.28058 1.24219 0.553 -3.94943 0.00215 -1.89299 0.923381083222217 1.884375114633360 -0.00898 -0.00933 -7.79153 0.60640 0.5695125616089470 0.63821 0.60640 0.5795125616089470 0.64821 0.6617360212939630 0.634 0.360 0.729 0.468 0.474 0.629 0.478 0.485 0.683 0.444 0.457 0.607 0.432 0.442 0.618 0.400 -5.2205597494664900 1.151 1.32873 1.26077 0.553 -3.95273 0.00000 -1.89531 0.980106570565885 1.967625670226430 -0.00808 -0.00911 -8.49551 0.60277 0.6236634605365610 0.70323 0.60277 0.6336634605365610 0.71323 0.6649532313027650 0.627 0.354 0.720 0.457 0.449 0.610 0.484 0.496 0.683 0.453 0.463 0.607 0.416 0.435 0.607 0.450 -5.2183925416104100 1.151 1.37394 1.28190 0.553 -3.95558 0.00000 -1.90578 1.022203929823320 2.035537053673680 -0.00727 -0.00888 -9.11351 0.58043 0.6581416274761160 0.75082 0.58043 0.6581416274761160 0.75082 0.6654266030879300 0.620 0.363 0.719 0.450 0.423 0.595 0.477 0.495 0.679 0.477 0.447 0.593 0.408 0.418 0.592 0.500 -5.2164539081223000 1.151 1.41630 1.30432 0.553 -3.95795 0.00000 -1.91467 1.058737908474810 2.091423339372400 -0.00656 -0.00866 -9.68515 0.55692 0.6867116556863830 0.79378 0.55692 0.6867116556863830 0.79378 0.6635290829305090 0.612 0.364 0.712 0.445 0.415 0.583 0.470 0.473 0.658 0.472 0.435 0.579 0.409 0.432 0.603 0.600 -5.2130991914773000 1.151 1.49310 1.35019 0.553 -3.96181 0.00000 -1.92743 1.118034334349720 2.176403198118720 -0.00534 -0.00824 -10.68946 0.50969 0.7122000042516460 0.84953 0.50969 0.7122000042516460 0.84953 0.6564608147533650 0.613 0.379 0.720 0.448 0.419 0.576 0.460 0.450 0.636 0.459 0.434 0.580 0.407 0.442 0.598 0.700 -5.2102628189684700 1.151 1.56069 1.39523 0.560 -3.96483 0.00000 -1.93452 1.163018824473690 2.235996913698260 -0.00437 -0.00787 -11.54596 0.46501 0.7123896083711760 0.87979 0.46501 0.7123896083711760 0.87979 0.6475225398028140 0.625 0.393 0.739 0.440 0.429 0.583 0.460 0.454 0.634 0.461 0.448 0.591 0.403 0.454 0.613 0.800 -5.2078058413441800 1.151 1.62055 1.43824 0.580 -3.96729 0.00000 -1.93739 1.197347867256100 2.278310911386920 -0.00359 -0.00755 -12.28722 0.42440 0.6993827558539090 0.89539 0.42440 0.6993827558539090 0.89539 0.6378151725112400 0.628 0.396 0.743 0.441 0.427 0.580 0.460 0.448 0.631 0.457 0.440 0.590 0.407 0.468 0.627 0.900 -5.2056386334881000 1.151 1.67390 1.47881 0.602 -3.96962 0.00000 -1.93725 1.223616172806850 2.308465259401480 -0.00296 -0.00726 -12.93630 0.38841 0.6799630664371980 0.90256 0.38841 0.6799630664371980 0.90256 0.6275299463931780 0.628 0.397 0.743 0.435 0.433 0.586 0.456 0.446 0.622 0.449 0.445 0.593 0.408 0.485 0.633 1.000 -5.2037000000000000 1.151 1.72171 1.51685 0.622 -3.97202 0.00000 -1.93505 1.243670000000000 2.329852618176160 -0.00244 -0.00700 -13.51000 0.35703 0.6582841883037910 0.90528 0.35703 0.6582841883037910 0.90528 0.6166948032035810 0.633 0.403 0.750 0.427 0.453 0.606 0.448 0.445 0.617 0.442 0.422 0.578 0.408 0.498 0.642 1.250 -5.1995941586558200 1.151 1.82188 1.60148 0.667 -3.97949 0.00000 -1.92471 1.272450000000000 2.358529248389570 -0.00153 -0.00644 -14.69034 0.29673 0.6192828473123780 0.91793 0.29673 0.6192828473123780 0.91793 0.5871136982629510 0.636 0.404 0.753 0.413 0.457 0.613 0.442 0.457 0.624 0.428 0.428 0.587 0.412 0.507 0.657 1.500 -5.1962394420108100 1.151 1.90081 1.67280 0.705 -3.99048 0.00000 -1.91189 1.285410000000000 2.366526445593360 -0.00097 -0.00597 -15.60298 0.25785 0.5828781633806380 0.92130 0.25785 0.5828781633806380 0.92130 0.5541350591719840 0.644 0.392 0.754 0.416 0.464 0.619 0.448 0.448 0.628 0.418 0.434 0.604 0.418 0.505 0.653 2.000 -5.1909460918777000 1.151 2.01482 1.78372 0.768 -4.02652 0.00000 -1.88859 1.288300000000000 2.355357695068850 -0.00043 -0.00518 -16.90010 0.22262 0.5262044723719100 0.91709 0.22262 0.5262044723719100 0.91709 0.4823188293988830 0.635 0.382 0.741 0.409 0.464 0.623 0.437 0.458 0.633 0.406 0.470 0.625 0.413 0.524 0.665 2.500 -5.1868402505335200 1.151 2.08892 1.86241 0.820 -4.08299 0.00000 -1.87252 1.277270000000000 2.331055616102490 -0.00023 -0.00451 -17.73658 0.21840 0.4871991042586300 0.90551 0.21840 0.4871991042586300 0.90551 0.4108485356913110 0.619 0.393 0.734 0.398 0.441 0.599 0.429 0.443 0.623 0.387 0.446 0.612 0.414 0.529 0.676 3.000 -5.1834855338885100 1.151 2.13574 1.91711 0.863 -4.15939 0.00000 -1.86345 1.260490000000000 2.304087350833550 -0.00016 -0.00393 -18.27135 0.21595 0.4569807448342530 0.88668 0.21595 0.4569807448342530 0.88668 0.3476970039189440 0.599 0.385 0.712 0.390 0.412 0.572 0.423 0.441 0.623 0.369 0.400 0.565 0.412 0.524 0.668 3.500 -5.1806491613796900 1.151 2.16254 1.95322 0.902 -4.25418 0.00000 -1.85969 1.241065000000000 2.277938604223720 0.00000 -0.00344 -18.59264 0.21595 0.4280893607115190 0.85880 0.21595 0.4280893607115190 0.85880 0.2981089167617070 0.581 0.376 0.692 0.386 0.394 0.553 0.410 0.424 0.608 0.376 0.353 0.536 0.402 0.535 0.672 4.000 -5.1781921837553900 1.151 2.17393 1.97450 0.935 -4.36584 0.00000 -1.85953 1.220255000000000 2.253713119173820 0.00000 -0.00302 -18.75474 0.21595 0.3952406635315720 0.82025 0.21595 0.3952406635315720 0.82025 0.2652398018598770 0.568 0.377 0.682 0.377 0.376 0.541 0.410 0.409 0.603 0.362 0.365 0.540 0.394 0.542 0.671 4.500 -5.1760249758993200 1.151 2.17301 1.98361 0.966 -4.49267 0.00000 -1.86151 1.198585000000000 2.231608900335380 0.00000 -0.00267 -18.79351 0.21595 0.3548841036361290 0.76990 0.21595 0.3548841036361290 0.76990 0.2508917433151500 0.551 0.376 0.667 0.360 0.363 0.528 0.412 0.393 0.591 0.368 0.349 0.519 0.385 0.530 0.652 5.000 -5.1740863424112100 1.151 2.16199 1.98255 0.994 -4.63313 0.00000 -1.86451 1.176285000000000 2.211490595470470 0.00000 -0.00240 -18.73393 0.21595 0.3046830024209600 0.70705 0.21595 0.3046830024209600 0.70705 0.2365436847704230 0.563 0.374 0.675 0.361 0.346 0.525 0.447 0.408 0.615 0.381 0.293 0.476 0.380 0.514 0.633 """) # Coefficients specific to the site amplification COEFFS_SITE = CoeffsTable(sa_damping=5, table="""\ imt LnAmax1D1 LnAmax1D2 LnAmax1D3 LnAmax1D4 Src1D1 Src1D2 Src1D3 Src1D4 fsr1 fsr2 fsr3 fsr4 pga 0.650220 0.709730 0.644340 0.404280 8.429000 1.913680 1.117140 0.836440 1.0000 1.0000 1.1650 1.0000 0.005 0.650220 0.709730 0.644340 0.404280 8.429000 1.913680 1.117140 0.836440 1.0000 1.0000 1.1650 1.0000 0.010 0.651810 0.706790 0.646240 0.404280 8.090000 1.882560 1.114440 0.836440 1.0000 1.0000 0.9440 1.0000 0.020 0.653620 0.694650 0.638650 0.387890 6.992000 1.778610 1.124370 0.830000 1.0000 1.0000 1.0120 1.0000 0.030 0.654670 0.687550 0.634210 0.378300 6.350000 1.717810 1.130170 0.826240 1.0000 0.9990 1.1000 1.0000 0.040 0.652850 0.698920 0.606040 0.317370 4.883000 2.052340 1.150800 0.767580 1.0000 0.8430 0.9590 0.5570 0.050 0.672640 0.701370 0.617160 0.309340 5.043000 2.387130 1.239710 0.786320 1.0000 0.6630 0.8890 0.5430 0.060 0.699660 0.724450 0.637970 0.325300 6.271000 2.833990 1.348190 0.837750 1.0000 0.8410 0.9460 0.5740 0.070 0.717130 0.743430 0.654370 0.354120 7.667000 3.294470 1.451810 0.926160 1.0000 1.0290 1.0060 0.6480 0.080 0.716030 0.785980 0.680190 0.392820 9.034000 3.990910 1.583150 1.022280 1.0000 1.2350 1.0650 0.7210 0.090 0.725610 0.797210 0.708890 0.421840 11.251000 4.465760 1.732920 1.118020 1.0000 1.1440 1.0930 0.8090 0.100 0.742000 0.816680 0.718810 0.437360 14.817000 5.045610 1.841340 1.165780 1.0000 1.0920 1.0770 1.0150 0.120 0.762360 0.845230 0.725810 0.472080 14.817000 5.899600 2.030290 1.285510 0.0000 0.9450 1.0360 0.9720 0.140 0.752150 0.782960 0.745250 0.512780 14.817000 5.053530 2.281330 1.398080 0.0000 0.6240 0.8950 0.9670 0.150 0.738190 0.794800 0.761030 0.534320 14.817000 5.204900 2.444130 1.443270 0.0000 0.5770 0.8600 0.9630 0.160 0.719110 0.808610 0.768130 0.550220 14.817000 5.386940 2.580170 1.471770 0.0000 0.5450 0.8220 0.9530 0.180 0.654080 0.843310 0.756900 0.572790 14.817000 5.871650 2.741610 1.546940 0.0000 0.5270 0.7430 0.9670 0.200 0.583950 0.877700 0.717850 0.596740 14.817000 6.573910 2.825870 1.644010 0.0000 0.5460 0.6630 1.0050 0.250 0.583950 0.937670 0.654700 0.611360 14.817000 8.500000 2.718930 1.790130 0.0000 0.5960 0.4870 1.0450 0.300 0.583950 0.950000 0.696190 0.626380 14.817000 10.670300 2.417590 1.823450 0.0000 0.6230 0.4470 1.0350 0.350 0.583950 1.000000 0.779070 0.630120 14.817000 10.670300 2.303750 1.790370 0.0000 0.7010 0.4730 1.0080 0.400 0.583950 1.000000 0.827760 0.647730 14.817000 10.670300 2.236250 1.768440 0.0000 0.7080 0.4870 1.0070 0.450 0.583950 1.000000 0.876450 0.641520 14.817000 10.670300 2.216780 1.675390 0.0000 0.7370 0.5110 0.9810 0.500 0.583950 1.000000 0.925140 0.655820 14.817000 10.670300 2.243380 1.625390 0.0000 0.7480 0.5360 0.9900 0.600 0.583950 1.000000 0.973830 0.686680 14.817000 10.670300 2.805350 1.524530 0.0000 0.7280 0.5400 1.0160 0.700 0.583950 1.000000 1.022520 0.705600 14.817000 10.670300 6.658390 1.397240 0.0000 0.6340 0.4770 1.0220 0.800 0.583950 1.000000 1.071220 0.714290 14.817000 10.670300 30.000000 1.320290 0.0000 0.0000 0.0000 1.0230 0.900 0.583950 1.000000 1.119910 0.703880 14.817000 10.670300 30.000000 1.266370 0.0000 0.0000 0.0000 0.9970 1.000 0.583950 1.000000 1.168600 0.678130 14.817000 10.670300 30.000000 1.226800 0.0000 0.0000 0.0000 0.9480 1.250 0.583950 1.000000 1.217290 0.611190 14.817000 10.670300 30.000000 1.220650 0.0000 0.0000 0.0000 0.8020 1.500 0.583950 1.000000 1.265980 0.547360 14.817000 10.670300 30.000000 1.318050 0.0000 0.0000 0.0000 0.0000 2.000 0.583950 1.000000 1.314670 0.459440 14.817000 10.670300 30.000000 2.124850 0.0000 0.0000 0.0000 0.0000 2.500 0.583950 1.000000 1.363360 0.408460 14.817000 10.670300 30.000000 14.381810 0.0000 0.0000 0.0000 0.0000 3.000 0.583950 1.000000 1.412050 0.364210 14.817000 10.670300 30.000000 14.381810 0.0000 0.0000 0.0000 0.0000 3.500 0.583950 1.000000 1.460750 0.329840 14.817000 10.670300 30.000000 14.381810 0.0000 0.0000 0.0000 0.0000 4.000 0.583950 1.000000 1.509440 0.309120 14.817000 10.670300 30.000000 14.381810 0.0000 0.0000 0.0000 0.0000 4.500 0.583950 1.000000 1.558130 0.292510 14.817000 10.670300 30.000000 14.381810 0.0000 0.0000 0.0000 0.0000 5.000 0.583950 1.000000 1.606820 0.547360 14.817000 10.670300 30.000000 14.381810 0.0000 0.0000 0.0000 0.0000 """)
[docs]class ZhaoEtAl2016SInterSiteSigma(ZhaoEtAl2016SInter): """ Subclass of the Zhao et al. (2016b) subduction interface GMPE for the case of site-dependent within-event variability """
[docs]class ZhaoEtAl2016SSlab(ZhaoEtAl2016Asc): """ Implements the subduction slab GMPE of Zhao et al (2016c) Zhao, J. X., Jiang, F., Shi, P., Xing, H., Huang, H., Hou, R., Zhang, Y., Yu, P., Lan, X., Rhoades, D. A., Somerville, P. G., Irikura, K., Fukushima, Y. (2016c), "Ground-Motion Prediction Equations for Subduction Slab Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions", Bulletin of the Seismological Society of America, 106(4), 1535-1551 Main version with standard deviations independent of site term """ #: Supported tectonic region type is subduction inslab DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.SUBDUCTION_INTRASLAB #: Required rupture parameters are magnitude and top of rupture depth. REQUIRES_RUPTURE_PARAMETERS = {'mag', 'ztor'} # Set coeff tables COEFFS = COEFFS_SLAB COEFFS_SITE = COEFFS_SITE_SLAB
[docs]class ZhaoEtAl2016SSlabPErg(ZhaoEtAl2016Asc): """ Implements the subduction in-slab GMPE of Zhao et al (2016c) with non-ergodic path correction for propagation through volcanic regions. Zhao, J. X., Jiang, F., Shi, P., Xing, H., Huang, H., Hou, R., Zhang, Y., Yu, P., Lan, X., Rhoades, D. A., Somerville, P. G., Irikura, K., Fukushima, Y. (2016c), "Ground-Motion Prediction Equations for Subduction Slab Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions", Bulletin of the Seismological Society of America, 106(4), 1535-1551 Main version with standard deviations independent of site term """ experimental = True #: Supported tectonic region type is subduction inslab DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.SUBDUCTION_INTRASLAB # Additional rupture parameters required for ray tracing REQUIRES_RUPTURE_PARAMETERS = {'mag', 'hypo_lat', 'hypo_lon', 'hypo_depth', 'ztor', 'rake', 'strike', 'dip'} # Requires site coordinates for ray tracing REQUIRES_SITES_PARAMETERS = {'vs30', 'lon', 'lat'} #: Required distance measure is Rrup, Rvolc and clon, clat REQUIRES_DISTANCES = {'rrup', 'rvolc', 'clon', 'clat'} # Set coeff tables COEFFS = COEFFS_SLAB COEFFS_SITE = COEFFS_SITE_SLAB
[docs]class ZhaoEtAl2016SSlabSiteSigma(ZhaoEtAl2016SSlab): """ Subclass of the Zhao et al. (2016c) subduction in-slab GMPE for the case of site-dependent within-event variability """