diff --git a/debian/changelog b/debian/changelog index 40ceb1b0e7d8..0372ac7e3f9a 100644 --- a/debian/changelog +++ b/debian/changelog @@ -1,3 +1,6 @@ + [Abhineet Gupta, Anirudh Rao] + * Implements the Shahjouei & Pezeshk (2016) GMPE + [Michele Simionato] * Experimental support for the Grid Engine * Fixed the serialization to HDF5 of nonparametric ruptures diff --git a/doc/sphinx/openquake.hazardlib.gsim.rst b/doc/sphinx/openquake.hazardlib.gsim.rst index 7b2a6f76377e..7bdd50f1145a 100644 --- a/doc/sphinx/openquake.hazardlib.gsim.rst +++ b/doc/sphinx/openquake.hazardlib.gsim.rst @@ -595,6 +595,14 @@ sadigh_1997 :undoc-members: :show-inheritance: +shahjouei_pezeshk_2016 +-------------------------------------------- + +.. automodule:: openquake.hazardlib.gsim.shahjouei_pezeshk_2016 + :members: + :undoc-members: + :show-inheritance: + sharma_2009 ------------------------------------------- diff --git a/openquake/hazardlib/gsim/shahjouei_pezeshk_2016.py b/openquake/hazardlib/gsim/shahjouei_pezeshk_2016.py new file mode 100644 index 000000000000..2a3ecb37c7d6 --- /dev/null +++ b/openquake/hazardlib/gsim/shahjouei_pezeshk_2016.py @@ -0,0 +1,209 @@ +# -*- coding: utf-8 -*- +# vim: tabstop=4 shiftwidth=4 softtabstop=4 +# +# Copyright (C) 2013-2017 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 . + +""" +Module exports :class:'ShahjoueiPezeshk2016'. +""" +from __future__ import division + +import numpy as np + +from openquake.hazardlib.gsim.base import GMPE, CoeffsTable +from openquake.hazardlib import const +from openquake.hazardlib.imt import PGA, PGV, SA + + +class ShahjoueiPezeshk2016(GMPE): + """ + Implements GMPE developed by Alireza Shahjouei and Shahram Pezeshk. + Published as "Alternative Hybrid Empirical Ground‐Motion Model for + Central and Eastern North America Using Hybrid Simulations and + NGA‐West2 Models", 2016, Bulletin of the Seismological + Society of America, vol. 106, no. 2, 734 - 754. + """ + #: Supported tectonic region type is 'stable continental region' + #: equation has been derived from data from Eastern North America (ENA) + # 'Introduction', page 735. + DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.STABLE_CONTINENTAL + + #: Supported intensity measure types are spectral acceleration, + #: and peak ground acceleration. See Table 7 on page 743 + DEFINED_FOR_INTENSITY_MEASURE_TYPES = set([ + PGA, + PGV, + SA + ]) + + #: An orientation-independent alternative to :attr:`AVERAGE_HORIZONTAL`. + #: Defined at Boore et al. (2006, Bull. Seism. Soc. Am. 96, 1502-1511) + #: and is used for all the NGA GMPEs. See page 742. + #: :attr:'~openquake.hazardlib.const.IMC.RotD50'. + DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.RotD50 + + #: Supported standard deviation types is total. + #: See equation 4 and 5, page 744. + #: We use aleatory uncertainty as the total + #: standard deviation since page 745 states, + #: The epistemic uncertainty for an individual GMM is infrequently employed... + DEFINED_FOR_STANDARD_DEVIATION_TYPES = set([ + const.StdDev.TOTAL + ]) + + #: No site parameters are needed. The GMPE was developed for hard-rock site + # with Vs30 >= 3000 m/s (NEHRP site class A) only. Page 734. + REQUIRES_SITES_PARAMETERS = set() + + #: Required rupture parameters are magnitude (eq. 4, page 742). + REQUIRES_RUPTURE_PARAMETERS = set(('mag', )) + + #: Required distance measure is Rjb (eq. 3 page 742). + REQUIRES_DISTANCES = set(('rjb', )) + + #: GMPE not tested against independent implementation so raise + #: not verified warning + non_verified = True + + def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): + """ + See :meth:`superclass method + <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` + for spec of input and result values. + """ + + # Extracting dictionary of coefficients specific to required + # intensity measure type. + C = self.COEFFS[imt] + + imean = (self._compute_magnitude(rup, C) + + self._compute_attenuation(rup, dists, imt, C) + + self._compute_distance(rup, dists, imt, C)) + + mean = np.log(10.0 ** (imean)) + + istddevs = self._get_stddevs(C, stddev_types, rup, imt, + num_sites=len(dists.rjb)) + + stddevs = np.log(10.0 ** np.array(istddevs)) + + return mean, stddevs + + def _get_stddevs(self, C, stddev_types, rup, imt, num_sites): + """ + Return standard deviations as defined in eq. 4 and 5, page 744, + based on table 8, page 744. + Eq. 5 yields std dev in natural log, so convert to log10 + """ + stddevs = [] + for stddev_type in stddev_types: + sigma_mean = self._compute_standard_dev(rup, imt, C) + sigma_tot = np.sqrt((sigma_mean ** 2) + (C['SigmaReg'] ** 2)) + sigma_tot = np.log10(np.exp(sigma_tot)) + stddevs.append(sigma_tot + np.zeros(num_sites)) + return stddevs + + def _compute_magnitude(self, rup, C): + """ + Compute the first term of the equation described on p. 742: + + "c1 + (c2 * M) + (c3 * M**2) " + """ + return C['c1'] + (C['c2'] * rup.mag) + (C['c3'] * (rup.mag ** 2)) + + def _compute_attenuation(self, rup, dists, imt, C): + """ + Compute the second term of the equation described on p. 742: + + " [(c4 + c5 * M) * min{ log10(R), log10(60.) }] + + [(c6 + c7 * M) * max{ min{ log10(R/60.), log10(120./60.) }, 0.}] + + [(c8 + c9 * M) * max{ log10(R/120.), 0}] " + """ + vec = np.ones(len(dists.rjb)) + + a1 = (np.log10(np.sqrt(dists.rjb ** 2.0 + C['c11'] ** 2.0)), + np.log10(60. * vec)) + + a = np.column_stack([a1[0], a1[1]]) + + b3 = (np.log10(np.sqrt(dists.rjb ** 2.0 + C['c11'] ** 2.0) / + (60. * vec)), + np.log10((120. / 60.) * vec)) + + b2 = np.column_stack([b3[0], b3[1]]) + b1 = ([np.min(b2, axis=1), 0. * vec]) + b = np.column_stack([b1[0], b1[1]]) + + c1 = (np.log10(np.sqrt(dists.rjb ** 2.0 + C['c11'] ** 2.0) / + (120.) * vec), 0. * vec) + c = np.column_stack([c1[0], c1[1]]) + + return (((C['c4'] + C['c5'] * rup.mag) * np.min(a, axis=1)) + + ((C['c6'] + C['c7'] * rup.mag) * np.max(b, axis=1)) + + ((C['c8'] + C['c9'] * rup.mag) * np.max(c, axis=1))) + + def _compute_distance(self, rup, dists, imt, C): + """ + Compute the third term of the equation described on p. 742: + + " c10 * R " + """ + return (C['c10'] * np.sqrt(dists.rjb ** 2.0 + C['c11'] ** 2.0)) + + def _compute_standard_dev(self, rup, imt, C): + """ + Compute the the standard deviation in terms of magnitude + described on page 744, eq. 4 + """ + sigma_mean = 0. + if isinstance(imt, (PGA, SA)): + psi = -6.898E-3 + else: + psi = -3.054E-5 + if rup.mag <= 6.5: + sigma_mean = (C['c12'] * rup.mag) + C['c13'] + elif rup.mag > 6.5: + sigma_mean = (psi * rup.mag) + C['c14'] + return sigma_mean + + #: Equation coefficients, described in Table 2 on pp. 1865 + COEFFS = CoeffsTable(sa_damping=5, table=""" + IMT c1 c2 c3 c4 c5 c6 c7 c8 c9 c10 c11 c12 c13 c14 SigmaReg SigmaPar + pgv -2.3891 1.259 -0.07901 -2.9386 0.3034 -0.00929 -0.04605 -2.7548 0.3467 -0.0007623 -4.598 -0.0554 0.978 0.663 0.1 0.288 + pga -0.3002 0.5066 -0.04526 -3.224 0.2998 -1.283 0.1045 -3.0856 0.2778 -0.0007711 3.81 -0.041 0.876 0.611 0.194 0.373 + 0.010 -0.3472 0.4838 -0.04093 -3.0832 0.2712 -0.9676 0.04983 -2.9695 0.2693 -0.0006695 -4.434 -0.056 0.982 0.664 0.132 0.281 + 0.020 0.832 0.1934 -0.0206 -3.1134 0.2786 -1.133 0.05994 -3.5023 0.2901 -0.0005857 -4.412 -0.0559 0.983 0.665 0.0928 0.281 + 0.030 1.185 0.1064 -0.01423 -3.1029 0.2792 -1.078 0.05239 -3.5722 0.2865 -0.000622 -4.353 -0.0577 1 0.676 0.0833 0.277 + 0.040 1.246 0.08986 -0.01268 -3.0785 0.2773 -0.9743 0.0416 -3.5083 0.2769 -0.0006818 -4.303 -0.0577 1.01 0.688 0.0798 0.279 + 0.050 1.1793 0.1037 -0.01321 -3.0488 0.2744 -0.8635 0.03077 -3.3986 0.2659 -0.0007439 -4.266 -0.0578 1.03 0.701 0.0776 0.272 + 0.075 0.8045 0.1866 -0.01788 -2.9697 0.266 -0.6122 0.007491 -3.0852 0.2391 -0.0008801 -4.214 -0.0561 1.03 0.721 0.0738 0.252 + 0.100 0.35 0.2871 -0.02381 -2.894 0.2576 -0.4123 -0.01012 -2.7947 0.2163 -0.0009848 4.201 -0.0565 1.05 0.732 0.0717 0.265 + 0.150 -0.5264 0.4782 -0.03519 -2.761 0.2426 -0.1319 -0.03338 -2.3312 0.1818 -0.001125 4.239 -0.0559 1.04 0.724 0.0716 0.276 + 0.200 -1.2884 0.6413 -0.04486 -2.6504 0.2301 0.04637 -0.0469 -1.9927 0.1576 -0.001209 4.325 -0.056 1.03 0.715 0.0743 0.258 + 0.250 -1.9422 0.7789 -0.05295 -2.5573 0.2196 0.1631 -0.05478 -1.7399 0.1398 -0.001258 4.438 -0.0537 1.02 0.712 0.0779 0.268 + 0.300 -2.5071 0.8961 -0.05976 -2.478 0.2107 0.2407 -0.05919 -1.547 0.1265 -0.001286 4.571 -0.0511 1.01 0.718 0.0815 0.284 + 0.400 -3.436 1.085 -0.07059 -2.3495 0.1961 0.3244 -0.06197 -1.2793 0.1085 -0.001304 -4.872 -0.047 0.987 0.725 0.0876 0.34 + 0.500 -4.1699 1.231 -0.07878 -2.251 0.1849 0.3544 -0.06046 -1.1111 0.09757 -0.001294 -5.211 -0.0442 0.981 0.736 0.0923 0.357 + 0.750 -5.4797 1.482 -0.09245 -2.0865 0.1659 0.3284 -0.04979 -0.9131 0.0857 -0.001219 -6.154 -0.0384 0.967 0.76 0.0991 0.374 + 1.000 -6.3464 1.641 -0.1006 -1.9931 0.1546 0.253 -0.03709 -0.8641 0.08405 -0.001123 -7.174 -0.0314 0.933 0.77 0.102 0.392 + 1.500 -7.4087 1.823 -0.1093 -1.9162 0.1438 0.09019 -0.01551 -0.92 0.09103 -0.0009407 -9.253 -0.0227 0.883 0.776 0.105 0.426 + 2.000 -8.0057 1.916 -0.113 -1.9173 0.1418 -0.03828 -0.001252 -1.0327 0.1016 -0.0007926 -11.22 -0.0184 0.857 0.778 0.106 0.44 + 3.000 -8.5793 1.985 -0.1146 -2.0184 0.1499 -0.1744 0.009393 -1.2453 0.1214 -0.0005919 14.38 -0.0189 0.859 0.777 0.107 0.58 + 4.000 -8.8246 1.99 -0.1131 -2.1475 0.1635 -0.1844 0.003919 -1.3849 0.1357 -0.0004855 16.19 -0.016 0.83 0.766 0.107 0.589 + 5.000 -8.9855 1.975 -0.1105 -2.2496 0.1764 -0.1043 -0.01187 -1.4511 0.1446 -0.0004439 16.71 -0.0153 0.826 0.766 0.107 0.631 + 7.500 -9.3927 1.925 -0.1032 -2.3572 0.1973 0.3465 -0.07832 -1.3728 0.149 -0.0005176 14.58 -0.0143 0.815 0.762 0.113 0.721 + 10.000 -9.735 1.879 -0.09666 -2.4139 0.2117 1.01 -0.1678 -1.0631 0.137 -0.000742 11.23 -0.017 0.822 0.752 0.14 0.739 + """) diff --git a/openquake/hazardlib/tests/gsim/data/SHPZ16/SHPZ16_MEAN.csv b/openquake/hazardlib/tests/gsim/data/SHPZ16/SHPZ16_MEAN.csv new file mode 100644 index 000000000000..63e147afd037 --- /dev/null +++ b/openquake/hazardlib/tests/gsim/data/SHPZ16/SHPZ16_MEAN.csv @@ -0,0 +1,89 @@ 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+5,70,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,80,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,90,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,100,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,150,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,200,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,300,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,400,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,500,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,600,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,700,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,800,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,900,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +5,1000,TOTAL_STDDEV,5,0.714302457,0.709594314,0.716359644,0.725899642,0.745052186,0.753124618,0.770841839,0.763863083,0.753671341,0.755526743,0.758888991,0.757085041,0.76558428,0.781310316,0.782674901,0.776630704,0.772308876,0.771951585,0.757594219,0.757099234,0.752038064,0.750179312,0.698481925,0.708096745 +6,1,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,5,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,10,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,20,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,30,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,40,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,50,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,60,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,70,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,80,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,90,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,100,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,150,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,200,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,300,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,400,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,500,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,600,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,700,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,800,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,900,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +6,1000,TOTAL_STDDEV,5,0.659348163,0.654215255,0.659085222,0.668579449,0.687592903,0.697316284,0.714606108,0.708228579,0.697965966,0.702134781,0.70810579,0.710421537,0.721726354,0.743236416,0.75155383,0.754145371,0.754087236,0.753238581,0.741758047,0.741955956,0.737903544,0.733484833,0.659193447,0.653298829 +7,1,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,5,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,10,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,20,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,30,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,40,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,50,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,60,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,70,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,80,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,90,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,100,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,150,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,200,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,300,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,400,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,500,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,600,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,700,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,800,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,900,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +7,1000,TOTAL_STDDEV,5,0.629704478,0.623656955,0.63321699,0.644672042,0.657310677,0.676750002,0.687463253,0.67949685,0.670841299,0.668269918,0.674654795,0.682360314,0.693880275,0.718580286,0.728886204,0.73525007,0.737372716,0.736527728,0.725646185,0.725646185,0.722604092,0.717504978,0.595216806,0.67028768 +8,1,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,5,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,10,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,20,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,30,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,40,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,50,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,60,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,70,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,80,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,90,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,100,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,150,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,200,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,300,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,400,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,500,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,600,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,700,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,800,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,900,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 +8,1000,TOTAL_STDDEV,5,0.622961413,0.616836602,0.626379594,0.637827665,0.650461425,0.669893563,0.680603253,0.672637645,0.663986177,0.661419434,0.667807832,0.675519973,0.687044188,0.711748835,0.722056725,0.728423439,0.730547035,0.729703596,0.718824308,0.718824308,0.71579177,0.710740837,0.588699776,0.670257481 diff --git a/openquake/hazardlib/tests/gsim/shahjouei_pezeshk_2016_test.py b/openquake/hazardlib/tests/gsim/shahjouei_pezeshk_2016_test.py new file mode 100644 index 000000000000..8f27aeb3ced2 --- /dev/null +++ b/openquake/hazardlib/tests/gsim/shahjouei_pezeshk_2016_test.py @@ -0,0 +1,36 @@ +# -*- coding: utf-8 -*- +# vim: tabstop=4 shiftwidth=4 softtabstop=4 +# +# Copyright (C) 2013-2017 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 . + +from openquake.hazardlib.gsim.shahjouei_pezeshk_2016 import (ShahjoueiPezeshk2016) +from openquake.hazardlib.tests.gsim.utils import BaseGSIMTestCase + + +class ShahjoueiPezeshk2016TestCase(BaseGSIMTestCase): + GSIM_CLASS = ShahjoueiPezeshk2016 + + # Test data were obtained from a MATLAB tool created and verified with original paper by Abhineet Gupta + # The data of the values of the mean PGA and SA are in g's. + + def test_mean(self): + self.check('SHPZ16/SHPZ16_MEAN.csv', + max_discrep_percentage=0.5) + + def test_std_total(self): + self.check('SHPZ16/SHPZ16_STD_TOTAL.csv', + max_discrep_percentage=0.5) +