def getSitesContext(self, lldict=None, rock_vs30=None):
"""
Create a SitesContext object by sampling the current Sites object.
Args:
lldict: Either
- None, in which case the SitesContext for the complete Sites
grid is returned, or
- A location dictionary (elements are 'lats' and 'lons' and
each is a numpy array). Each element must have the same
shape. In this case the SitesContext for these locaitons is
returned.
rock_vs30: Either
- None, in which case the SitesContext will reflect the Vs30
grid in the Sites instance, or
- A float for the rock Vs30 value, in which case the
SitesContext will be constructed for this constant Vs30
value.
Returns:
SitesContext object.
Raises:
ShakeLibException: When lat/lon input sequences do not share
dimensionality.
""" # noqa
sctx = SitesContext()
if lldict is not None:
lats = lldict['lats']
lons = lldict['lons']
latshape = lats.shape
lonshape = lons.shape
if latshape != lonshape:
msg = 'Input lat/lon arrays must have the same dimensions'
raise ShakeLibException(msg)
if rock_vs30 is not None:
tmp = self._Vs30.getValue(
lats, lons, default=self._defaultVs30)
sctx.vs30 = np.ones_like(tmp) * rock_vs30
else:
sctx.vs30 = self._Vs30.getValue(
lats, lons, default=self._defaultVs30)
sctx.lats = lats
sctx.lons = lons
sctx.sids = np.array(range(np.size(lons))).reshape(lons.shape)
else:
sctx.lons = self._lons.copy()
sctx.lats = self._lats.copy()
if rock_vs30 is not None:
sctx.vs30 = np.full_like(self._Vs30.getData(), rock_vs30)
else:
sctx.vs30 = self._Vs30.getData().copy()
sctx.sids = \
np.array(
range(
np.size(sctx.lons)*
np.size(sctx.lats))).reshape(sctx.vs30.shape)
Sites._addDepthParameters(sctx)
# For ShakeMap purposes, vs30 measured is always Fales
sctx.vs30measured = np.zeros_like(sctx.vs30, dtype=bool)
# Backarc should be a numpy array
if lldict is not None:
tgd = self._Vs30.getGeoDict()
backarcgrid = Grid2D(self._backarc, tgd)
sctx.backarc = backarcgrid.getValue(lats, lons, default=False)
else:
sctx.backarc = self._backarc.copy()
return sctx
def _get_extent_from_multigmpe(rupture, config=None):
"""
Use MultiGMPE to determine extent
"""
(clon, clat) = _rupture_center(rupture)
origin = rupture.getOrigin()
if config is not None:
gmpe = MultiGMPE.__from_config__(config)
gmice = get_object_from_config('gmice', 'modeling', config)
if imt.SA in gmice.DEFINED_FOR_INTENSITY_MEASURE_TYPES:
default_imt = imt.SA(1.0)
elif imt.PGV in gmice.DEFINED_FOR_INTENSITY_MEASURE_TYPES:
default_imt = imt.PGV()
else:
default_imt = imt.PGA()
else:
# Put in some default values for conf
config = {
'extent': {
'mmi': {
'threshold': 4.5,
'mindist': 100,
'maxdist': 1000
}
}
}
# Generic GMPEs choices based only on active vs stable
# as defaults...
stable = is_stable(origin.lon, origin.lat)
if not stable:
ASK14 = AbrahamsonEtAl2014()
CB14 = CampbellBozorgnia2014()
CY14 = ChiouYoungs2014()
gmpes = [ASK14, CB14, CY14]
site_gmpes = None
weights = [1 / 3.0, 1 / 3.0, 1 / 3.0]
gmice = WGRW12()
else:
Fea96 = FrankelEtAl1996MwNSHMP2008()
Tea97 = ToroEtAl1997MwNSHMP2008()
Sea02 = SilvaEtAl2002MwNSHMP2008()
C03 = Campbell2003MwNSHMP2008()
TP05 = TavakoliPezeshk2005MwNSHMP2008()
AB06p = AtkinsonBoore2006Modified2011()
Pea11 = PezeshkEtAl2011()
Atk08p = Atkinson2008prime()
Sea01 = SomervilleEtAl2001NSHMP2008()
gmpes = [
Fea96, Tea97, Sea02, C03, TP05, AB06p, Pea11, Atk08p, Sea01
]
site_gmpes = [AB06p]
weights = [0.16, 0.0, 0.0, 0.17, 0.17, 0.3, 0.2, 0.0, 0.0]
gmice = AK07()
gmpe = MultiGMPE.__from_list__(gmpes,
weights,
default_gmpes_for_site=site_gmpes)
default_imt = imt.SA(1.0)
min_mmi = config['extent']['mmi']['threshold']
sd_types = [const.StdDev.TOTAL]
# Distance context
dx = DistancesContext()
size = 2000
# This imposes minimum/ maximum distances of:
# 80 and 800 km; could make this configurable
d_min = config['extent']['mmi']['mindist']
d_max = config['extent']['mmi']['maxdist']
dx.rjb = np.logspace(np.log10(d_min), np.log10(d_max), size)
# Details don't matter for this; assuming vertical surface rupturing fault
# with epicenter at the surface.
dx.rrup = dx.rjb
dx.rhypo = dx.rjb
dx.repi = dx.rjb
dx.rx = np.zeros_like(dx.rjb)
dx.ry0 = np.zeros_like(dx.rjb)
dx.rvolc = np.zeros_like(dx.rjb)
# Sites context
sx = SitesContext()
# Set to soft soil conditions
sx.sids = np.array(range(size))
sx.vs30 = np.full(size, 180.0)
set_sites_depth_parameters(sx, gmpe)
sx.vs30measured = np.full(size, False, dtype=bool)
sx.backarc = np.full(size, False, dtype=bool)
# Rupture context
rx = RuptureContext()
rx.mag = origin.mag
rx.rake = 0.0
# From WC94...
rx.width = 10**(-0.76 + 0.27 * rx.mag)
rx.dip = 90.0
rx.ztor = origin.depth
rx.hypo_depth = origin.depth
gmpe_imt_mean, _ = gmpe.get_mean_and_stddevs(sx, rx, dx, default_imt,
sd_types)
# Convert to MMI
gmpe_to_mmi, _ = gmice.getMIfromGM(gmpe_imt_mean, default_imt)
# Minimum distance that exceeds threshold MMI?
dists_exceed_mmi = dx.rjb[gmpe_to_mmi > min_mmi]
if len(dists_exceed_mmi):
mindist_km = np.max(dists_exceed_mmi)
else:
mindist_km = d_min
# Get a projection
proj = OrthographicProjection(clon - 4, clon + 4, clat + 4, clat - 4)
if isinstance(rupture, (QuadRupture, EdgeRupture)):
ruptx, rupty = proj(rupture.lons[~np.isnan(rupture.lons)],
rupture.lats[~np.isnan(rupture.lats)])
else:
ruptx, rupty = proj(clon, clat)
xmin = np.nanmin(ruptx) - mindist_km
ymin = np.nanmin(rupty) - mindist_km
xmax = np.nanmax(ruptx) + mindist_km
ymax = np.nanmax(rupty) + mindist_km
# Put a limit on range of aspect ratio
dx = xmax - xmin
dy = ymax - ymin
ar = dy / dx
if ar > 1.2:
# Inflate x
dx_target = dy / 1.2
ddx = dx_target - dx
xmax = xmax + ddx / 2
xmin = xmin - ddx / 2
if ar < 0.83:
# Inflate y
dy_target = dx * 0.83
ddy = dy_target - dy
ymax = ymax + ddy / 2
ymin = ymin - ddy / 2
lonmin, latmin = proj(np.array([xmin]), np.array([ymin]), reverse=True)
lonmax, latmax = proj(np.array([xmax]), np.array([ymax]), reverse=True)
#
# Round coordinates to the nearest minute -- that should make the
# output grid register with common grid resolutions (60c, 30c,
# 15c, 7.5c)
#
logging.debug("Extent: %f, %f, %f, %f" % (lonmin, lonmax, latmin, latmax))
return _round_coord(lonmin[0]), _round_coord(lonmax[0]), \
_round_coord(latmin[0]), _round_coord(latmax[0])
