Source code for openquake.hazardlib.gsim.parker_2020

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2015-2018 GEM Foundation
#
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"""
Module exports :class:`ParkerEtAl2020SInter`
               :class:`ParkerEtAl2020SInterB`
               :class:`ParkerEtAl2020SSlab`
               :class:`ParkerEtAl2020SSlabB`
"""
import math

import numpy as np
from scipy.special import erf

from openquake.baselib.general import CallableDict
from openquake.hazardlib import const
from openquake.hazardlib.gsim.base import GMPE, CoeffsTable, add_alias
from openquake.hazardlib.imt import PGA, SA, PGV

CONSTANTS = {"b4": 0.1, "f3": 0.05, "Vb": 200,
             "vref_fnl": 760, "V1": 270, "vref": 760}

_a0 = CallableDict()


@_a0.add(const.TRT.SUBDUCTION_INTERFACE)
def _a0_1(trt, region, basin, C, C_PGA):
    """
    Regional anelastic coefficient, a0
    """
    if region is None or region == "Cascadia":
        a0 = C["a0"]
        a0_pga = C_PGA["a0"]
    else:
        a0 = C[region + "_a0"]
        a0_pga = C_PGA[region + "_a0"]

    return a0, a0_pga


@_a0.add(const.TRT.SUBDUCTION_INTRASLAB)
def _a0_2(trt, region, basin, C, C_PGA):
    """
    Regional anelastic coefficient for subduction slab, a0
    """
    if region is None:
        return C["a0slab"], C_PGA["a0slab"]
    return C[region + "_a0slab"], C_PGA[region + "_a0slab"]


def _basin_term(region, basin, C, ctx=None):
    """
    Basin term main handler.
    """
    if not hasattr(ctx, 'z2pt5'):
        return 0

    if region == "JP":
        return _get_basin_term_factors(3.05, -0.8, 500, 0.33,
                                       C["J_e1"], C["J_e2"],
                                       C["J_e3"], ctx)

    if region == "Cascadia":
        if basin is None:
            return _get_basin_term_factors(3.94, -0.42, 200, 0.2,
                                           C["C_e1"], C["C_e2"],
                                           C["C_e3"], ctx)
        if basin == "out":
            dn = C["del_None"]
            return _get_basin_term_factors(3.94, -0.42, 200, 0.2,
                                           C["C_e1"],
                                           C["C_e2"] + dn,
                                           C["C_e3"] + dn, ctx)
        if basin == "Seattle":
            ds = C["del_Seattle"]
            return _get_basin_term_factors(3.94, -0.42, 200, 0.2,
                                           C["C_e1"],
                                           C["C_e2"] + ds,
                                           C["C_e3"] + ds, ctx)

    return 0


_c0 = CallableDict()


@_c0.add(const.TRT.SUBDUCTION_INTERFACE)
def _c0_1(trt, region, saturation_region, C, C_PGA):
    """
    c0 factor.
    """
    if saturation_region is None:
        c0_col = "c0"
    else:
        c0_col = saturation_region + "_c0"
    return C[c0_col], C_PGA[c0_col]


@_c0.add(const.TRT.SUBDUCTION_INTRASLAB)
def _c0_2(trt, region, saturation_region, C, C_PGA):
    """
    c0 factor.
    """
    if saturation_region is None:
        c0_col = "c0slab"
    elif region in ["AK", "SA"]:
        c0_col = saturation_region + "_c0slab"
    else:
        # no more specific region available
        c0_col = region + "_c0slab"
    return C[c0_col], C_PGA[c0_col]


_depth_scaling = CallableDict()


@_depth_scaling.add(const.TRT.SUBDUCTION_INTERFACE)
def _depth_scaling_1(trt, C, ctx):
    """
    Depth scaling is for slab.
    """
    return 0


@_depth_scaling.add(const.TRT.SUBDUCTION_INTRASLAB)
def _depth_scaling_2(trt, C, ctx):
    if ctx.hypo_depth >= C["db"]:
        return C["d"]
    if ctx.hypo_depth <= 20:
        return C["m"] * (20 - C["db"]) + C["d"]
    return C["m"] * (ctx.hypo_depth - C["db"]) + C["d"]


def _get_basin_term_factors(theta0, theta1, vmu, vsig, e1, e2, e3,
                            ctx):
    """
    Basin term for given factors.
    """
    btf = np.zeros_like(ctx.vs30)
    select = ctx.z2pt5 != 0
    if len(select) == 0:
        return btf
    vs30 = ctx.vs30[select]
    z2pt5 = ctx.z2pt5[select]

    z2pt5_pred = 10 ** (theta0 + theta1
                        * (1 + erf((np.log10(vs30) - math.log10(vmu))
                                   / (vsig * math.sqrt(2)))))
    del_z2pt5 = np.log(z2pt5) - np.log(z2pt5_pred)

    btf[select] = np.where(del_z2pt5 <= (e1 / e3), e1,
                           np.where(del_z2pt5 >= (e2 / e3), e2,
                                    e3 * del_z2pt5))
    return btf


def _linear_amplification(region, C, vs30):
    """
    Linear site term.
    """
    # site coefficients
    v1 = CONSTANTS["V1"]
    vref = CONSTANTS["vref"]
    if region is None or region == "CAM":
        s2 = C["s2"]
        s1 = s2
    elif region == "TW" or region == "JP":
        s2 = C[region + "_s2"]
        s1 = C[region + "_s1"]
    else:
        s2 = C[region + "_s2"]
        s1 = s2

    # linear site term
    fnl = np.where(vs30 <= v1,
                   s1 * np.log(vs30 / v1) + s2 * math.log(v1 / vref),
                   0)
    fnl = np.where((v1 < vs30) & (vs30 <= C["V2"]),
                   s2 * np.log(vs30 / vref), fnl)
    fnl = np.where(vs30 > C["V2"], s2 * math.log(C["V2"] / vref), fnl)

    return fnl


def _magnitude_scaling(sfx, C, C_PGA, mag, m_b):
    """
    Magnitude scaling factor.
    """
    m_diff = mag - m_b
    if m_diff > 0:
        fm = C["c6" + sfx] * m_diff
        fm_pga = C_PGA["c6" + sfx] * m_diff
    else:
        fm = C["c4" + sfx] * m_diff + C["c5" + sfx] * m_diff ** 2
        fm_pga = C_PGA["c4" + sfx] * m_diff \
            + C_PGA["c5" + sfx] * m_diff ** 2

    return fm, fm_pga


def _non_linear_term(C, imt, vs30, fp, fm, c0, fd=0):
    """
    Non-linear site term.
    """
    # fd for slab only
    pgar = np.exp(fp + fm + c0 + fd)

    if hasattr(imt, "period") and imt.period >= 3:
        fnl = 0
    else:
        fnl = C["f4"] * (np.exp(C["f5"] * (
            np.minimum(vs30, CONSTANTS["vref_fnl"]) - CONSTANTS["Vb"]))
             - math.exp(C["f5"] * (CONSTANTS["vref_fnl"] - CONSTANTS["Vb"])))
        fnl *= np.log((pgar + CONSTANTS["f3"]) / CONSTANTS["f3"])

    return fnl


def _path_term(trt, region, basin, suffix, C, C_PGA, mag, rrup, m_b):
    """
    Path term.
    """
    h = _path_term_h(trt, mag, m_b)
    r = np.sqrt(rrup ** 2 + h ** 2)
    # log(R / Rref)
    r_rref = np.log(r / math.sqrt(1 + h ** 2))

    a0, a0_pga = _a0(trt, region, basin, C, C_PGA)

    c1n = "c1" + suffix
    fp = C[c1n] * np.log(r) + (CONSTANTS["b4"] * mag) \
        * r_rref + a0 * r
    fp_pga = C_PGA[c1n] * np.log(r) + (CONSTANTS["b4"] * mag) \
        * r_rref + a0_pga * r

    return fp, fp_pga


_path_term_h = CallableDict()


@_path_term_h.add(const.TRT.SUBDUCTION_INTERFACE)
def _path_term_h_1(trt, mag, m_b=None):
    """
    H factor for path term.
    """
    return 10 ** (-0.82 + 0.252 * mag)


@_path_term_h.add(const.TRT.SUBDUCTION_INTRASLAB)
def _path_term_h_2(trt, mag, m_b=None):
    """
    H factor for path term, subduction slab.
    """
    if mag <= m_b:
        m = (math.log10(35) - math.log10(3.12)) / (m_b - 4)
        return 10 ** (m * (mag - m_b) + math.log10(35))
    return 35


[docs]def get_stddevs(C, rrup, vs30): """ Returns the standard deviations. Generate tau, phi, and total sigma computed from both total and partitioned phi models. """ # define period-independent coefficients for phi models v1 = 200 v2 = 500 r1 = 200 r2 = 500 # total Phi phi_rv = np.zeros(len(vs30)) for i, vs30i in enumerate(vs30): if rrup[i] <= r1: phi_rv[i] = C["phi21"] elif rrup[i] >= r2: phi_rv[i] = C["phi22"] else: phi_rv[i] = ((C["phi22"] - C["phi21"]) / (math.log(r2) - math.log(r1))) \ * (math.log(rrup[i]) - math.log(r1)) + C["phi21"] if vs30i <= v1: phi_rv[i] += C["phi2V"] * \ (math.log(r2 / max(r1, min(r2, rrup[i]))) / math.log(r2 / r1)) elif vs30i < v2: phi_rv[i] += C["phi2V"] * \ ((math.log(v2 / min(v2, vs30i))) / math.log(v2 / v1)) * \ (math.log(r2 / max(r1, min(r2, rrup[i]))) / math.log(r2 / r1)) phi_tot = np.sqrt(phi_rv) return [np.sqrt(C["Tau"] ** 2 + phi_tot ** 2), C["Tau"], phi_tot]
[docs]class ParkerEtAl2020SInter(GMPE): """ Implements Parker et al. (2020) for subduction interface. """ DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.SUBDUCTION_INTERFACE #: Supported intensity measure types are spectral acceleration, #: peak ground acceleration and peak ground velocity DEFINED_FOR_INTENSITY_MEASURE_TYPES = {PGV, PGA, SA} #: Supported intensity measure component is the geometric mean component DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.AVERAGE_HORIZONTAL DEFINED_FOR_STANDARD_DEVIATION_TYPES = { const.StdDev.TOTAL, const.StdDev.INTER_EVENT, const.StdDev.INTRA_EVENT} #: Site amplification is dependent only upon Vs30 REQUIRES_SITES_PARAMETERS = {'vs30'} #: Required rupture parameters are only magnitude for the interface model REQUIRES_RUPTURE_PARAMETERS = {'mag'} #: Required distance measure is closest distance to rupture, for #: interface events REQUIRES_DISTANCES = {'rrup'} REQUIRES_ATTRIBUTES = {'region', 'saturation_region', 'basin'} def __init__(self, region=None, saturation_region=None, basin=None, **kwargs): """ Enable setting regions to prevent messy overriding and code duplication. """ super().__init__(region=region, saturation_region=saturation_region, basin=basin, **kwargs) self.region = region if saturation_region is None: self.saturation_region = region else: self.saturation_region = saturation_region self.basin = basin
[docs] def compute(self, ctx, imts, mean, sig, tau, phi): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.compute>` for spec of input and result values. """ trt = self.DEFINED_FOR_TECTONIC_REGION_TYPE C_PGA = self.COEFFS[PGA()] for m, imt in enumerate(imts): C = self.COEFFS[imt] # Regional Mb factor if self.saturation_region in self.MB_REGIONS: m_b = self.MB_REGIONS[self.saturation_region] else: m_b = self.MB_REGIONS["default"] c0, c0_pga = _c0( trt, self.region, self.saturation_region, C, C_PGA) fm, fm_pga = _magnitude_scaling( self.SUFFIX, C, C_PGA, ctx.mag, m_b) fp, fp_pga = _path_term( trt, self.region, self.basin, self.SUFFIX, C, C_PGA, ctx.mag, ctx.rrup, m_b) fd = _depth_scaling(trt, C, ctx) fd_pga = _depth_scaling(trt, C_PGA, ctx) fb = _basin_term(self.region, self.basin, C, ctx) flin = _linear_amplification(self.region, C, ctx.vs30) fnl = _non_linear_term(C, imt, ctx.vs30, fp_pga, fm_pga, c0_pga, fd_pga) # The output is the desired median model prediction in LN units # Take the exponential to get PGA, PSA in g or the PGV in cm/s mean[m] = fp + fnl + fb + flin + fm + c0 + fd sig[m], tau[m], phi[m] = get_stddevs(C, ctx.rrup, ctx.vs30)
COEFFS = CoeffsTable(sa_damping=5, table="""\ IMT c0 AK_c0 Aleutian_c0 Cascadia_c0 CAM_N_c0 CAM_S_c0 JP_Pac_c0 JP_Phi_c0 SA_N_c0 SA_S_c0 TW_E_c0 TW_W_c0 c0slab AK_c0slab Aleutian_c0slab Cascadia_c0slab CAM_c0slab JP_c0slab SA_N_c0slab SA_S_c0slab TW_c0slab c1 c1slab b4 a0 AK_a0 CAM_a0 JP_a0 SA_a0 TW_a0 a0slab AK_a0slab Cascadia_a0slab CAM_a0slab JP_a0slab SA_a0slab TW_a0slab c4 c5 c6 c4slab c5slab c6slab d m db V2 JP_s1 TW_s1 s2 AK_s2 Cascadia_s2 JP_s2 SA_s2 TW_s2 f4 f4slab f5 J_e1 J_e2 J_e3 C_e1 C_e2 C_e3 del_None del_Seattle Tau phi21 phi22 phi2V VM phi2S2S,0 a1 phi2SS,1 phi2SS,2 a2 pgv 8.097 9.283796298 8.374796298 7.728 7.046899908 7.046899908 8.772125851 7.579125851 8.528671414 8.679671414 7.559846279 7.559846279 13.194 12.79 13.6 12.874 12.81 13.248 12.754 12.927 13.516 -1.661 -2.422 0.1 -0.00395 -0.00404 -0.00153 -0.00239 -0.000311 -0.00514 -0.0019 -0.00238 -0.00109 -0.00192 -0.00215 -0.00192 -0.00366 1.336 -0.039 1.844 1.84 -0.05 0.8 0.2693 0.0252 67 850 -0.738 -0.454 -0.601 -1.031 -0.671 -0.738 -0.681 -0.59 -0.31763 -0.31763 -0.0052 -0.137 0.137 0.091 0 0.115 0.068 -0.115 0 0.477 0.348 0.288 -0.179 423 0.142 0.047 0.153 0.166 0.011 pga 4.082 4.458796298 3.652796298 3.856 2.875899908 2.875899908 5.373125851 4.309125851 5.064671414 5.198671414 3.032846279 3.032846279 9.907 9.404 9.912 9.6 9.58 10.145 9.254 9.991 10.071 -1.662 -2.543 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00227 -0.00354 -0.00238 -0.00335 -0.00238 -0.00362 1.246 -0.021 1.128 1.84 -0.05 0.4 0.3004 0.0314 67 1350 -0.586 -0.44 -0.498 -0.785 -0.572 -0.586 -0.333 -0.44 -0.44169 -0.44169 -0.0052 0 0 1 0 0 1 0 0 0.48 0.396 0.565 -0.18 423 0.221 0.093 0.149 0.327 0.068 0.01 3.714 4.094796298 3.288796298 3.488 2.564899908 2.564899908 5.022125851 3.901125851 4.673671414 4.807671414 2.636846279 2.636846279 9.962 9.451 9.954 9.802 9.612 10.162 9.293 9.994 10.174 -1.587 -2.554 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.246 -0.021 1.128 1.84 -0.05 0.4 0.2839 0.0296 67 1300 -0.604 -0.44 -0.498 -0.803 -0.571 -0.604 -0.333 -0.44 -0.4859 -0.4859 -0.0052 0 0 1 0 0 1 0 0 0.476 0.397 0.56 -0.18 423 0.223 0.098 0.148 0.294 0.071 0.02 3.762 4.132796298 3.338796298 3.536 2.636899908 2.636899908 5.066125851 3.935125851 4.694671414 4.827671414 2.698846279 2.698846279 10.099 9.587 10.086 9.933 9.771 10.306 9.403 10.152 10.273 -1.593 -2.566 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.227 -0.021 1.128 1.884 -0.05 0.415 0.2854 0.0298 67 1225 -0.593 -0.458 -0.478 -0.785 -0.575 -0.593 -0.345 -0.458 -0.4859 -0.4859 -0.00518 0 0 1 0 0 1 0 0 0.482 0.401 0.563 -0.181 423 0.227 0.105 0.149 0.294 0.073 0.025 3.859 4.246796298 3.392796298 3.633 2.731899908 2.731899908 5.140125851 4.094125851 4.779671414 4.911671414 2.800846279 2.800846279 10.181 9.667 10.172 10.009 9.85 10.387 9.481 10.292 10.329 -1.607 -2.578 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.221 -0.021 1.128 1.884 -0.05 0.43 0.2891 0.0302 67 1200 -0.569 -0.454 -0.464 -0.745 -0.573 -0.579 -0.362 -0.459 -0.4859 -0.4859 -0.00515 0 0 1 0 0 1 0 0 0.49 0.405 0.575 -0.183 423 0.231 0.12 0.15 0.31 0.076 0.03 4.014 4.386796298 3.535796298 3.788 2.890899908 2.890899908 5.317125851 4.278125851 4.935671414 5.066671414 2.926846279 2.926846279 10.311 9.808 10.302 10.133 9.993 10.498 9.592 10.459 10.451 -1.63 -2.594 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.215 -0.021 1.128 1.884 -0.05 0.445 0.2932 0.0306 67 1200 -0.539 -0.455 -0.446 -0.69 -0.565 -0.561 -0.38 -0.464 -0.4908 -0.4908 -0.00511 0 0 1 0 0 1 0 0 0.5 0.413 0.589 -0.188 423 0.239 0.145 0.153 0.313 0.077 0.04 4.223 4.553796298 3.747796298 3.997 3.075899908 3.075899908 5.564125851 4.531125851 5.182671414 5.312671414 3.069846279 3.069846279 10.588 10.086 10.602 10.404 10.317 10.744 9.834 10.818 10.678 -1.657 -2.629 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.207 -0.021 1.128 1.884 -0.05 0.46 0.3004 0.0313 67 1200 -0.468 -0.453 -0.431 -0.636 -0.546 -0.508 -0.403 -0.466 -0.49569 -0.49569 -0.00505 0 0 1 0 0 1 0 0 0.515 0.439 0.616 -0.205 423 0.261 0.177 0.159 0.322 0.08 0.05 4.456 4.745796298 3.959796298 4.23 3.287899908 3.287899908 5.843125851 4.816125851 5.457671414 5.586671414 3.236846279 3.236846279 10.824 10.379 10.862 10.634 10.563 10.981 10.027 11.102 10.86 -1.687 -2.649 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.201 -0.021 1.128 1.884 -0.05 0.475 0.3048 0.0316 67 1225 -0.403 -0.452 -0.42 -0.594 -0.519 -0.461 -0.427 -0.468 -0.49823 -0.49823 -0.00497 0 0 1 0.1 -0.1 -0.063 -0.05 0 0.528 0.473 0.653 -0.23 423 0.285 0.2 0.167 0.33 0.077 0.075 4.742 4.972796298 4.231796298 4.516 3.560899908 3.560899908 6.146125851 5.126125851 5.788671414 5.917671414 3.446846279 3.446846279 11.084 10.65 11.184 10.888 10.785 11.25 10.265 11.424 11.093 -1.715 -2.65 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.19 -0.021 1.128 1.884 -0.05 0.49 0.2992 0.0321 67 1350 -0.325 -0.456 -0.442 -0.586 -0.497 -0.452 -0.458 -0.473 -0.49724 -0.49724 -0.00489 0.05 -0.043 -0.025 0.3 -0.34 -0.2 -0.075 0.078 0.53 0.529 0.722 -0.262 423 0.339 0.205 0.184 0.299 0.063 0.1 4.952 5.160796298 4.471796298 4.726 3.788899908 3.788899908 6.346125851 5.333125851 5.998671414 6.126671414 3.643846279 3.643846279 11.232 10.816 11.304 11.03 10.841 11.466 10.467 11.49 11.283 -1.737 -2.647 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.182 -0.021 1.128 1.884 -0.05 0.505 0.2854 0.032 67 1450 -0.264 -0.468 -0.485 -0.629 -0.486 -0.498 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3.602846279 3.602846279 10.669 10.116 10.87 10.443 10.134 10.878 10.077 10.328 11.079 -1.643 -2.528 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.151 -0.021 1.215 1.884 -0.082 0.565 0.2719 0.0323 67 1250 -0.455 -0.514 -0.748 -1.133 -0.681 -0.867 -0.725 -0.596 -0.4845 -0.4845 -0.0037 0 0 1 0 0 1 0 0 0.492 0.436 0.584 -0.158 423 0.254 0.092 0.159 0.22 0.065 0.4 4.18 4.548796298 3.919796298 3.935 3.128899908 3.128899908 5.091125851 4.089125851 5.151671414 5.277671414 3.343846279 3.343846279 10.116 9.561 10.411 9.884 9.598 10.296 9.539 9.639 10.547 -1.58 -2.452 0.1 -0.00657 -0.00541 -0.00387 -0.00862 -0.00397 -0.00787 -0.00255 -0.00219 -0.00401 -0.00217 -0.00311 -0.00217 -0.00355 1.143 -0.022 1.227 1.884 -0.091 0.58 0.2539 0.0302 67 1150 -0.617 -0.51 -0.802 -1.238 -0.772 -0.947 -0.801 -0.643 -0.48105 -0.48105 -0.00342 -0.13 0.113 0.087 0 0.05 0.2 0 0 0.492 0.433 0.556 -0.19 423 0.23 0.044 0.158 0.222 0.064 0.5 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1.344 -0.031 1.237 1.884 -0.154 0.64 0.1452 0.0118 67 760 -0.966 -0.486 -0.888 -1.43 -0.814 -0.971 -0.942 -0.79 -0.32318 -0.32318 -0.0031 -0.578 0.48 0.24 0 0.32 0.2 -0.32 0.064 0.492 0.406 0.406 -0.111 422 0.244 -0.047 0.204 0.204 -0.034 2.0 1.556 2.061796298 0.906796298 1.31 0.534899908 0.534899908 2.507125851 1.293125851 2.327671414 2.481671414 1.217846279 1.217846279 5.871 5.206 6.671 5.609 5.434 5.935 5.261 5.161 6.227 -1.391 -2.077 0.1 -0.00429 -0.0029 -0.00208 -0.00463 -0.00214 -0.00423 -0.00131 -0.00118 -0.00216 -0.00117 -0.00167 -0.00117 -0.00191 1.396 -0.034 1.232 1.884 -0.154 0.655 0.06 0.007 67 760 -0.901 -0.475 -0.808 -1.421 -0.725 -0.901 -0.891 -0.765 -0.26577 -0.26577 -0.0031 -0.645 0.579 0.254 0 0.37 0.239 -0.28 0.14 0.492 0.393 0.393 0 422 0.231 -0.036 0.196 0.196 -0.036 2.5 1.167 1.709796298 0.392796298 0.922 0.186899908 0.186899908 2.160125851 0.895125851 1.950671414 2.111671414 0.871846279 0.871846279 5.2 4.594 6.047 4.932 4.773 5.234 4.567 4.517 5.517 -1.394 -2.015 0.1 -0.00369 -0.0025 -0.00179 -0.00399 -0.00184 -0.00364 -0.00113 -0.00101 -0.00186 -0.00101 -0.00144 -0.00101 -0.00164 1.437 -0.036 1.227 1.884 -0.154 0.67 0 0 0 760 -0.822 -0.453 -0.743 -1.391 -0.632 -0.822 -0.842 -0.724 -0.21236 -0.21236 -0.0031 -0.678 0.609 0.267 0 0.4 0.264 -0.313 0.19 0.492 0.381 0.381 0 421 0.222 -0.025 0.169 0.169 -0.029 3.0 0.92 1.456796298 0.099796298 0.675 -0.087100092 -0.087100092 1.969125851 0.607125851 1.766671414 1.932671414 0.596846279 0.596846279 4.83 4.206 5.667 4.556 4.441 4.849 4.176 4.076 5.157 -1.416 -2.012 0.1 -0.00321 -0.00217 -0.00156 -0.00347 -0.0016 -0.00316 -0.000979 -0.00088 -0.00161 -0.000873 -0.00125 -0.000873 -0.00143 1.47 -0.038 1.223 1.949 -0.154 0.685 0 0 0 760 -0.751 -0.428 -0.669 -1.343 -0.57 -0.751 -0.787 -0.675 0 -0.17807 -0.0031 -0.772 0.635 0.265 0 0.43 0.287 -0.355 0.165 0.492 0.367 0.367 0 419 0.199 -0.03 0.177 0.177 -0.011 4.0 0.595 1.207796298 -0.356203702 0.352 -0.353100092 -0.353100092 1.675125851 0.303125851 1.524671414 1.698671414 0.268846279 0.268846279 4.173 3.517 4.97 3.893 3.849 4.074 3.495 3.445 4.55 -1.452 -1.989 0.1 -0.00244 -0.00165 -0.00118 -0.00264 -0.00122 -0.00241 -0.000745 -0.00067 -0.00123 -0.000664 -0.000952 -0.000664 -0.00109 1.523 -0.044 1.216 2.031 -0.154 0.7 0 0 0 760 -0.68 -0.396 -0.585 -1.297 -0.489 -0.68 -0.706 -0.613 0 -0.13729 -0.0031 -0.699 0.709 0.259 0 0.44 0.303 -0.417 0.163 0.492 0.33 0.33 0 416 0.191 -0.042 0.158 0.158 0.033 5.0 0.465 1.131796298 -0.601203702 0.223 -0.491100092 -0.491100092 1.601125851 0.183125851 1.483671414 1.665671414 0.014846279 0.014846279 3.833 3.142 4.592 3.547 3.502 3.814 3.038 3.038 4.229 -1.504 -1.998 0.1 -0.0016 -0.00125 -0.000895 -0.002 -0.000919 -0.00182 -0.000564 -0.000507 -0.000929 -0.000503 -0.00072 -0.000503 -0.000822 1.564 -0.048 1.21 2.131 -0.154 0.715 0 0 0 760 -0.592 -0.353 -0.506 -1.233 -0.421 -0.592 -0.621 -0.536 0 -0.07733 -0.0031 -0.642 0.63 0.215 0 0.45 0.321 -0.45 0.132 0.492 0.298 0.298 0 415 0.181 0.005 0.132 0.132 0.014 7.5 0.078 0.758796298 -1.137203702 -0.162 -0.837100092 -0.837100092 1.270125851 -0.143874149 1.175671414 1.366671414 -0.446153721 -0.446153721 3.132 2.391 3.65 2.84 2.821 3.152 2.368 2.368 3.554 -1.569 -2.019 0.1 -0.000766 -0.000519 -0.000371 -0.000828 -0.000382 -0.000755 -0.000234 -0.00021 -0.000385 -0.000209 -0.000299 -0.000209 -0.000341 1.638 -0.059 1.2 2.185 -0.154 0.73 0 0 0 760 -0.494 -0.311 -0.418 -1.147 -0.357 -0.52 -0.52 -0.444 0 -0.05443 -0.0031 -0.524 0.306 0.175 0 0.406 0.312 -0.35 0.15 0.492 0.254 0.254 0 419 0.181 -0.016 0.113 0.113 0.016 10.0 0.046 0.708796298 -1.290203702 -0.193 -0.864100092 -0.864100092 1.364125851 -0.195874149 1.271671414 1.462671414 -0.473153721 -0.473153721 2.72 2.031 2.95 2.422 2.408 2.791 1.939 1.939 3.166 -1.676 -2.047 0.1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.69 -0.067 1.194 2.35 -0.154 0.745 0 0 0 760 -0.395 -0.261 -0.321 -1.06 -0.302 -0.395 -0.42 -0.352 0 -0.03313 -0.0031 -0.327 0.182 0.121 0 0.345 0.265 -0.331 0.117 0.492 0.231 0.231 0 427 0.181 0.04 0.11 0.11 0.017 """) # constant table suffix SUFFIX = "" MB_REGIONS = {"Aleutian": 8, "AK": 8.6, "Cascadia": 7.7, "CAM_S": 7.4, "CAM_N": 7.4, "JP_Pac": 8.5, "JP_Phi": 7.7, "SA_N": 8.5, "SA_S": 8.6, "TW_W": 7.1, "TW_E": 7.1, "default": 7.9}
[docs]class ParkerEtAl2020SInterB(ParkerEtAl2020SInter): """ For Cascadia and Japan where basins are defined (also require z2pt5). """ REQUIRES_SITES_PARAMETERS = {'vs30', 'z2pt5'}
[docs]class ParkerEtAl2020SSlab(ParkerEtAl2020SInter): """ Modifications for subduction slab. """ DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.SUBDUCTION_INTRASLAB # slab also requires hypo_depth REQUIRES_RUPTURE_PARAMETERS = {'mag', 'hypo_depth'} # constant table suffix SUFFIX = "slab" MB_REGIONS = {"Aleutian": 7.98, "AK": 7.2, "Cascadia": 7.2, "CAM_S": 7.6, "CAM_N": 7.4, "JP_Pac": 7.65, "JP_Phi": 7.55, "SA_N": 7.3, "SA_S": 7.25, "TW_W": 7.7, "TW_E": 7.7, "default": 7.6}
[docs]class ParkerEtAl2020SSlabB(ParkerEtAl2020SSlab): """ For Cascadia and Japan where basins are defined (also require z2pt5). """ REQUIRES_SITES_PARAMETERS = {'vs30', 'z2pt5'}
add_alias('ParkerEtAl2020SInterAleutian', ParkerEtAl2020SInter, region="AK", saturation_region="Aleutian") add_alias('ParkerEtAl2020SInterAlaska', ParkerEtAl2020SInter, region="AK") add_alias('ParkerEtAl2020SInterCAMN', ParkerEtAl2020SInter, region="CAM", saturation_region="CAM_N") add_alias('ParkerEtAl2020SInterCAMS', ParkerEtAl2020SInter, region="CAM", saturation_region="CAM_S") add_alias('ParkerEtAl2020SInterSAN', ParkerEtAl2020SInter, region="SA", saturation_region="SA_N") add_alias('ParkerEtAl2020SInterSAS', ParkerEtAl2020SInter, region="SA", saturation_region="SA_S") add_alias('ParkerEtAl2020SInterTaiwanE', ParkerEtAl2020SInter, region="TW", saturation_region="TW_E") add_alias('ParkerEtAl2020SInterTaiwanW', ParkerEtAl2020SInter, region="TW", saturation_region="TW_W") add_alias('ParkerEtAl2020SInterCascadia', ParkerEtAl2020SInterB, region="Cascadia") add_alias('ParkerEtAl2020SInterCascadiaOut', ParkerEtAl2020SInterB, region="Cascadia", basin="out") add_alias('ParkerEtAl2020SInterCascadiaSeattle', ParkerEtAl2020SInterB, region="Cascadia", basin="Seattle") add_alias('ParkerEtAl2020SInterJapanPac', ParkerEtAl2020SInterB, region="JP", saturation_region="JP_Pac") add_alias('ParkerEtAl2020SInterJapanPhi', ParkerEtAl2020SInterB, region="JP", saturation_region="JP_Phi") add_alias('ParkerEtAl2020SSlabAleutian', ParkerEtAl2020SSlab, region="AK", saturation_region="Aleutian") add_alias('ParkerEtAl2020SSlabAlaska', ParkerEtAl2020SSlab, region="AK") add_alias('ParkerEtAl2020SSlabCAMN', ParkerEtAl2020SSlab, region="CAM", saturation_region="CAM_N") add_alias('ParkerEtAl2020SSlabCAMS', ParkerEtAl2020SSlab, region="CAM", saturation_region="CAM_S") add_alias('ParkerEtAl2020SSlabSAN', ParkerEtAl2020SSlab, region="SA", saturation_region="SA_N") add_alias('ParkerEtAl2020SSlabSAS', ParkerEtAl2020SSlab, region="SA", saturation_region="SA_S") add_alias('ParkerEtAl2020SSlabTaiwanE', ParkerEtAl2020SSlab, region="TW", saturation_region="TW_E") add_alias('ParkerEtAl2020SSlabTaiwanW', ParkerEtAl2020SSlab, region="TW", saturation_region="TW_W") add_alias('ParkerEtAl2020SSlabCascadia', ParkerEtAl2020SSlabB, region="Cascadia") add_alias('ParkerEtAl2020SSlabCascadiaOut', ParkerEtAl2020SSlabB, region="Cascadia", basin="out") add_alias('ParkerEtAl2020SSlabCascadiaSeattle', ParkerEtAl2020SSlabB, region="Cascadia", basin="Seattle") add_alias('ParkerEtAl2020SSlabJapanPac', ParkerEtAl2020SSlabB, region="JP", saturation_region="JP_Pac") add_alias('ParkerEtAl2020SSlabJapanPhi', ParkerEtAl2020SSlabB, region="JP", saturation_region="JP_Phi")