def _fix_right_hand(self):
# This method fixes the mesh used to represent the grid surface so
# that it complies with the right hand rule.
found = False
irow = 0
icol = 0
while not found:
if np.all(np.isfinite(self.mesh.lons[irow:irow+2, icol:icol+2])):
found = True
else:
icol += 1
if (icol+1) >= self.mesh.lons.shape[1]:
irow += 1
icol = 1
if (irow+1) >= self.mesh.lons.shape[0]:
break
if found:
azi_strike = azimuth(self.mesh.lons[irow, icol],
self.mesh.lats[irow, icol],
self.mesh.lons[irow+1, icol],
self.mesh.lats[irow+1, icol])
azi_dip = azimuth(self.mesh.lons[irow, icol],
self.mesh.lats[irow, icol],
self.mesh.lons[irow, icol+1],
self.mesh.lats[irow, icol+1])
if abs((azi_strike + 90) % 360 - azi_dip) < 10:
tlo = np.fliplr(self.mesh.lons)
tla = np.fliplr(self.mesh.lats)
tde = np.fliplr(self.mesh.depths)
mesh = RectangularMesh(tlo, tla, tde)
self.mesh = mesh
else:
msg = 'Could not find a valid quadrilateral for strike calculation'
raise ValueError(msg)
def average_azimuth(self):
"""
Calculate and return weighted average azimuth of all line's segments
in decimal degrees.
Uses formula from
http://en.wikipedia.org/wiki/Mean_of_circular_quantities
>>> from openquake.hazardlib.geo.point import Point as P
>>> '%.1f' % Line([P(0, 0), P(1e-5, 1e-5)]).average_azimuth()
'45.0'
>>> '%.1f' % Line([P(0, 0), P(0, 1e-5), P(1e-5, 1e-5)]).average_azimuth()
'45.0'
>>> line = Line([P(0, 0), P(-2e-5, 0), P(-2e-5, 1.154e-5)])
>>> '%.1f' % line.average_azimuth()
'300.0'
"""
if len(self.points) == 2:
return self.points[0].azimuth(self.points[1])
lons = numpy.array([point.longitude for point in self.points])
lats = numpy.array([point.latitude for point in self.points])
azimuths = geodetic.azimuth(lons[:-1], lats[:-1], lons[1:], lats[1:])
distances = geodetic.geodetic_distance(lons[:-1], lats[:-1],
lons[1:], lats[1:])
azimuths = numpy.radians(azimuths)
# convert polar coordinates to Cartesian ones and calculate
# the average coordinate of each component
avg_x = numpy.mean(distances * numpy.sin(azimuths))
avg_y = numpy.mean(distances * numpy.cos(azimuths))
# find the mean azimuth from that mean vector
azimuth = numpy.degrees(numpy.arctan2(avg_x, avg_y))
if azimuth < 0:
azimuth += 360
return azimuth
def _find_turning_points(mesh, tol=1.0):
"""
Identifies the turning points in a rectangular mesh based on the
deviation in the azimuth between successive points on the upper edge.
A turning point is flagged if the change in azimuth change is greater than
the specified tolerance (in degrees)
:param mesh:
Mesh for downsampling as instance of :class:
openquake.hazardlib.geo.mesh.RectangularMesh
:param float tol:
Maximum difference in azimuth (decimal degrees) between successive
points to identify a turning point
:returns:
Column indices of turning points (as numpy array)
"""
assert isinstance(mesh, RectangularMesh)
azimuths = geodetic.azimuth(mesh.lons[0, :-1], mesh.lats[0, :-1],
mesh.lons[0, 1:], mesh.lats[0, 1:])
naz = len(azimuths)
azim = azimuths[0]
# Retain initial point
idx = [0]
for i in range(1, naz):
if numpy.fabs(azimuths[i] - azim) > tol:
idx.append(i)
azim = azimuths[i]
# Add on last point - if not already in the set
if not idx[-1] == (mesh.lons.shape[1] - 1):
idx.append(mesh.lons.shape[1] - 1)
return numpy.array(idx)
def translate(self, p1, p2):
"""
Translate the surface for a specific distance along a specific azimuth
direction.
Parameters are two points (instances of
:class:`openquake.hazardlib.geo.point.Point`) representing the
direction and an azimuth for translation. The resulting surface corner
points will be that far along that azimuth from respective corner
points of this surface as ``p2`` is located with respect to ``p1``.
:returns:
A new :class:`PlanarSurface` object with the same mesh spacing,
dip, strike, width, length and depth but with corners longitudes
and latitudes translated.
"""
azimuth = geodetic.azimuth(p1.longitude, p1.latitude,
p2.longitude, p2.latitude)
distance = geodetic.geodetic_distance(p1.longitude, p1.latitude,
p2.longitude, p2.latitude)
# avoid calling PlanarSurface's constructor
nsurf = object.__new__(PlanarSurface)
# but do call BaseQuadrilateralSurface's one
BaseQuadrilateralSurface.__init__(nsurf)
nsurf.mesh_spacing = self.mesh_spacing
nsurf.dip = self.dip
nsurf.strike = self.strike
nsurf.corner_lons, nsurf.corner_lats = geodetic.point_at(
self.corner_lons, self.corner_lats, azimuth, distance
)
nsurf.corner_depths = self.corner_depths.copy()
nsurf._init_plane()
nsurf.width = self.width
nsurf.length = self.length
return nsurf
def get_xyz_from_ll(projected, reference):
"""
This method computes the x, y and z coordinates of a set of points
provided a reference point
:param projected:
:class:`~openquake.hazardlib.geo.point.Point` object
representing the coordinates of target point to be projected
:param reference:
:class:`~openquake.hazardlib.geo.point.Point` object
representing the coordinates of the reference point.
:returns:
x
y
z
"""
azims = geod.azimuth(reference.longitude, reference.latitude,
projected.longitude, projected.latitude)
depths = np.subtract(reference.depth, projected.depth)
dists = geod.geodetic_distance(reference.longitude,
reference.latitude,
projected.longitude,
projected.latitude)
return (dists * math.sin(math.radians(azims)),
dists * math.cos(math.radians(azims)),
depths)
def average_azimuth(self):
"""
Calculate and return weighted average azimuth of all line's segments
in decimal degrees.
Uses formula from
http://en.wikipedia.org/wiki/Mean_of_circular_quantities
>>> from openquake.hazardlib.geo.point import Point as P
>>> str(Line([P(0, 0), P(1e-5, 1e-5)]).average_azimuth())
'45.0'
>>> str(Line([P(0, 0), P(0, 1e-5), P(1e-5, 1e-5)]).average_azimuth())
'45.0'
>>> line = Line([P(0, 0), P(-2e-5, 0), P(-2e-5, 1.154e-5)])
>>> '%.1f' % line.average_azimuth()
'300.0'
"""
if len(self.points) == 2:
return self.points[0].azimuth(self.points[1])
lons = numpy.array([point.longitude for point in self.points])
lats = numpy.array([point.latitude for point in self.points])
azimuths = geodetic.azimuth(lons[:-1], lats[:-1], lons[1:], lats[1:])
distances = geodetic.geodetic_distance(lons[:-1], lats[:-1], lons[1:],
lats[1:])
azimuths = numpy.radians(azimuths)
# convert polar coordinates to Cartesian ones and calculate
# the average coordinate of each component
avg_x = numpy.mean(distances * numpy.sin(azimuths))
avg_y = numpy.mean(distances * numpy.cos(azimuths))
# find the mean azimuth from that mean vector
azimuth = numpy.degrees(numpy.arctan2(avg_x, avg_y))
if azimuth < 0:
azimuth += 360
return azimuth
def translate(self, p1, p2):
"""
Translate the surface for a specific distance along a specific azimuth
direction.
Parameters are two points (instances of
:class:`openquake.hazardlib.geo.point.Point`) representing the
direction and an azimuth for translation. The resulting surface corner
points will be that far along that azimuth from respective corner
points of this surface as ``p2`` is located with respect to ``p1``.
:returns:
A new :class:`PlanarSurface` object with the same mesh spacing,
dip, strike, width, length and depth but with corners longitudes
and latitudes translated.
"""
azimuth = geodetic.azimuth(p1.longitude, p1.latitude, p2.longitude,
p2.latitude)
distance = geodetic.geodetic_distance(p1.longitude, p1.latitude,
p2.longitude, p2.latitude)
# avoid calling PlanarSurface's constructor
nsurf = object.__new__(PlanarSurface)
nsurf.dip = self.dip
nsurf.strike = self.strike
nsurf.corner_lons, nsurf.corner_lats = geodetic.point_at(
self.corner_lons, self.corner_lats, azimuth, distance)
nsurf.corner_depths = self.corner_depths.copy()
nsurf._init_plane()
nsurf.width = self.width
nsurf.length = self.length
return nsurf
def _find_turning_points(mesh, tol=1.0):
"""
Identifies the turning points in a rectangular mesh based on the
deviation in the azimuth between successive points on the upper edge.
A turning point is flagged if the change in azimuth change is greater than
the specified tolerance (in degrees)
:param mesh:
Mesh for downsampling as instance of :class:
openquake.hazardlib.geo.mesh.RectangularMesh
:param float tol:
Maximum difference in azimuth (decimal degrees) between successive
points to identify a turning point
:returns:
Column indices of turning points (as numpy array)
"""
assert isinstance(mesh, RectangularMesh)
azimuths = geodetic.azimuth(mesh.lons[0, :-1], mesh.lats[0, :-1],
mesh.lons[0, 1:], mesh.lats[0, 1:])
naz = len(azimuths)
azim = azimuths[0]
# Retain initial point
idx = [0]
for i in range(1, naz):
if numpy.fabs(azimuths[i] - azim) > tol:
idx.append(i)
azim = azimuths[i]
# Add on last point - if not already in the set
if idx[-1] != mesh.lons.shape[1] - 1:
idx.append(mesh.lons.shape[1] - 1)
return numpy.array(idx)
def test_map_rupture(interactive=False):
xp0 = np.array([-90.898000])
xp1 = np.array([-91.308000])
yp0 = np.array([12.584000])
yp1 = np.array([12.832000])
zp = [0.0]
strike = azimuth(yp0[0], xp0[0], yp1[0], xp1[0])
origin = Origin({
'lat': 0.0,
'lon': 0.0,
'depth': 0.0,
'mag': 5.5,
'eventsourcecode': 'abcd'
})
interface_width = MAX_DEPTH / np.sin(np.radians(DIP))
widths = np.ones(xp0.shape) * interface_width
dips = np.ones(xp0.shape) * DIP
strike = [strike]
rupture = QuadRupture.fromTrace(xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
strike=strike)
map_rupture(rupture)
if interactive:
fname = os.path.join(os.path.expanduser('~'), 'rupture_map.png')
plt.savefig(fname)
print('Rupture map plot saved to %s. Delete this file if you wish.' %
fname)
def get_xyz_from_ll(projected, reference):
"""
This method computes the x, y and z coordinates of a set of points
provided a reference point
:param projected:
:class:`~openquake.hazardlib.geo.point.Point` object
representing the coordinates of target point to be projected
:param reference:
:class:`~openquake.hazardlib.geo.point.Point` object
representing the coordinates of the reference point.
:returns:
x
y
z
"""
azims = geod.azimuth(reference.longitude, reference.latitude,
projected.longitude, projected.latitude)
depths = np.subtract(reference.depth, projected.depth)
dists = geod.geodetic_distance(reference.longitude, reference.latitude,
projected.longitude, projected.latitude)
return (dists * math.sin(math.radians(azims)),
dists * math.cos(math.radians(azims)), depths)
def test_arrays(self):
lons1 = numpy.array([[156.49676849, 150.03697145],
[-77.96053914, -109.36694411]])
lats1 = numpy.array([[-79.78522764, -89.15044328],
[-32.28244296, -25.11092309]])
lons2 = numpy.array([[-84.6732372, 140.08382287],
[82.69227935, -18.9919318]])
lats2 = numpy.array([[82.16896786, 26.16081412],
[41.21501474, -2.88241099]])
eazimuths = numpy.array([[47.07336955, 350.11740733],
[54.46959147, 92.76923701]])
az = geodetic.azimuth(lons1, lats1, lons2, lats2)
self.assertTrue(numpy.allclose(az, eazimuths), str(az))
def get_azimuth_of_closest_point(self, mesh):
"""
Compute the azimuth between point in `mesh` and the corresponding
closest point on the rupture surface.
:param mesh:
An instance of :class:`openquake.hazardlib.geo.mesh`
:return:
An :class:`numpy.ndarray` instance with the azimuth values.
"""
mesh_closest = self.get_closest_points(mesh)
return geodetic.azimuth(mesh.lons, mesh.lats, mesh_closest.lons,
mesh_closest.lats)
def get_strike(self) -> float:
"""
Return the fault strike as the average strike along the top of the
fault surface.
:returns:
The average strike, in decimal degrees.
"""
if self.strike is None:
idx = np.isfinite(self.mesh.lons)
azi = azimuth(self.mesh.lons[:-1, :], self.mesh.lats[:-1, :],
self.mesh.lons[1:, :], self.mesh.lats[1:, :])
self.strike = np.mean(((azi[idx[:-1, :]] + 0.001) % 360))
return self.strike
def get_middle_point(lon1, lat1, lon2, lat2):
"""
Given two points return the point exactly in the middle lying on the same
great circle arc.
Parameters are point coordinates in degrees.
:returns:
Tuple of longitude and latitude of the point in the middle.
"""
if lon1 == lon2 and lat1 == lat2:
return lon1, lat1
dist = geodetic.geodetic_distance(lon1, lat1, lon2, lat2)
azimuth = geodetic.azimuth(lon1, lat1, lon2, lat2)
return geodetic.point_at(lon1, lat1, azimuth, dist / 2.0)
def get_middle_point(lon1, lat1, lon2, lat2):
"""
Given two points return the point exactly in the middle lying on the same
great circle arc.
Parameters are point coordinates in degrees.
:returns:
Tuple of longitude and latitude of the point in the middle.
"""
if lon1 == lon2 and lat1 == lat2:
return lon1, lat1
dist = geodetic.geodetic_distance(lon1, lat1, lon2, lat2)
azimuth = geodetic.azimuth(lon1, lat1, lon2, lat2)
return geodetic.point_at(lon1, lat1, azimuth, dist / 2.0)
def azimuth(self, point):
"""
Compute the azimuth (in decimal degrees) between this point
and the given point.
:param point:
Destination point.
:type point:
Instance of :class:`Point`
:returns:
The azimuth, value in a range ``[0, 360)``.
:rtype:
float
"""
return geodetic.azimuth(self.longitude, self.latitude,
point.longitude, point.latitude)
def azimuth(self, point):
"""
Compute the azimuth (in decimal degrees) between this point
and the given point.
:param point:
Destination point.
:type point:
Instance of :class:`Point`
:returns:
The azimuth, value in a range ``[0, 360)``.
:rtype:
float
"""
return geodetic.azimuth(self.longitude, self.latitude, point.longitude,
point.latitude)
def test_plot_rupture(interactive=False):
xp0 = np.array([-90.898000])
xp1 = np.array([-91.308000])
yp0 = np.array([12.584000])
yp1 = np.array([12.832000])
zp = [0.0]
strike = azimuth(yp0[0], xp0[0], yp1[0], xp1[0])
origin = Origin({
'lat': 0.0,
'lon': 0.0,
'depth': 0.0,
'mag': 5.5,
'id': '',
'netid': 'abcd',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
interface_width = MAX_DEPTH / np.sin(np.radians(DIP))
widths = np.ones(xp0.shape) * interface_width
dips = np.ones(xp0.shape) * DIP
strike = [strike]
rupture = QuadRupture.fromTrace(xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
strike=strike)
plot_rupture_wire3d(rupture)
if interactive:
fname = os.path.join(os.path.expanduser('~'), 'rupture_wire_plot.png')
plt.savefig(fname)
print('Wire 3D plot saved to %s. Delete this file if you wish.' %
fname)
# Need to get tests to check exception for if an axis is handed off
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
plot_rupture_wire3d(rupture, ax)
# And raise the exception if it is not a 3d axis
with pytest.raises(TypeError):
ax = fig.add_subplot(111)
plot_rupture_wire3d(rupture, ax)
def resample(self, distance):
"""
This resamples the trench axis given a certain distance and computes
the strike at each node.
:parameter distance:
The sampling distance [in km
"""
naxis = rsmpl(self.axis[:, 0], self.axis[:, 1], distance)
if len(self.axis) < 3:
raise ValueError('Small array')
#
# compute azimuths
az = numpy.zeros_like(self.axis[:, 0])
az[1:-1] = azimuth(self.axis[:-2, 0], self.axis[:-2, 1],
self.axis[2:, 0], self.axis[2:, 1])
az[0] = az[1]
az[-1] = az[-2]
return Trench(naxis, az)
def get_compass_dir(lat1, lon1, lat2, lon2, format='short'):
"""Get the nearest string compass direction between two points.
:param lat1: Latitude of first point.
:param lon1: Longitude of first point.
:param lat2: Latitude of second point.
:param lon2: Longitude of second point.
:param format: String used to determine the type of output. ('short','long').
:returns: String compass direction, in the form of 'North','Northeast',... if format is 'long',
or 'N','NE',... if format is 'short'.
"""
if format != 'short':
points = ['North', 'Northeast', 'East', 'Southeast', 'South', 'Southwest', 'West', 'Northwest']
else:
points = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']
az = geodetic.azimuth(lon1, lat1, lon2, lat2)
angles = np.arange(0, 360, 45)
adiff = abs(az - angles)
i = adiff.argmin()
return points[i]
def get_polygon_from_simple_fault(flt):
"""
"""
xtrace = []
ytrace = []
if isinstance(flt, SimpleFaultSource):
trc = flt.fault_trace
elif isinstance(flt, OQtSource):
trc = flt.trace
for pnt in trc:
xtrace.append(pnt.longitude)
ytrace.append(pnt.latitude)
#
# Get strike direction
azim = azimuth(xtrace[0], ytrace[0], xtrace[-1], ytrace[-1])
#
# Compute the dip direction
dip = flt.dip
dip_dir = (azim + 90) % 360
seism_thickness = flt.lower_seismogenic_depth - flt.upper_seismogenic_depth
#
# Horizontal distance
h_dist = seism_thickness / scipy.tan(scipy.radians(dip))
#
# Compute the bottom trace
xb = xtrace
yb = ytrace
for x, y in zip(xtrace[::-1], ytrace[::-1]):
nx, ny = point_at(x, y, dip_dir, h_dist)
xb.append(nx)
yb.append(ny)
# Create the polygon geometry
pnt_list = []
for x, y in zip(xb, yb):
pnt_list.append((x, y))
return pnt_list
def get_azimuth(self, mesh):
"""
This method computes the azimuth of a set of points in a
:class:`openquake.hazardlib.geo.mesh` instance. The reference used for
the calculation of azimuth is the middle point and the strike of the
rupture. The value of azimuth computed corresponds to the angle
measured in a clockwise direction from the strike of the rupture.
:parameter mesh:
An instance of :class:`openquake.hazardlib.geo.mesh`
:return:
An instance of `numpy.ndarray`
"""
# Get info about the rupture
strike = self.get_strike()
hypocenter = self.get_middle_point()
# This is the azimuth from the north of each point Vs. the middle of
# the rupture
azim = geodetic.azimuth(hypocenter.longitude, hypocenter.latitude,
mesh.lons, mesh.lats)
# Compute the azimuth from the fault strike
rel_azi = (azim - strike) % 360
return rel_azi
def get_azimuth(self, mesh):
"""
This method computes the azimuth of a set of points in a
:class:`openquake.hazardlib.geo.mesh` instance. The reference used for
the calculation of azimuth is the middle point and the strike of the
rupture. The value of azimuth computed corresponds to the angle
measured in a clockwise direction from the strike of the rupture.
:parameter mesh:
An instance of :class:`openquake.hazardlib.geo.mesh`
:return:
An instance of `numpy.ndarray`
"""
# Get info about the rupture
strike = self.get_strike()
hypocenter = self.get_middle_point()
# This is the azimuth from the north of each point Vs. the middle of
# the rupture
azim = geodetic.azimuth(hypocenter.longitude, hypocenter.latitude,
mesh.lons, mesh.lats)
# Compute the azimuth from the fault strike
rel_azi = (azim - strike) % 360
return rel_azi
def test_plot_rupture(interactive=False):
xp0 = np.array([-90.898000])
xp1 = np.array([-91.308000])
yp0 = np.array([12.584000])
yp1 = np.array([12.832000])
zp = [0.0]
strike = azimuth(yp0[0], xp0[0], yp1[0], xp1[0])
origin = Origin({
'lat': 0.0,
'lon': 0.0,
'depth': 0.0,
'mag': 5.5,
'id': '',
'netid': 'abcd',
'network': '',
'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())
})
interface_width = MAX_DEPTH / np.sin(np.radians(DIP))
widths = np.ones(xp0.shape) * interface_width
dips = np.ones(xp0.shape) * DIP
strike = [strike]
rupture = QuadRupture.fromTrace(xp0,
yp0,
xp1,
yp1,
zp,
widths,
dips,
origin,
strike=strike)
plot_rupture_wire3d(rupture)
if interactive:
fname = os.path.join(os.path.expanduser('~'), 'rupture_wire_plot.png')
plt.savefig(fname)
print('Wire 3D plot saved to %s. Delete this file if you wish.' %
fname)
def test_map_rupture(interactive=False):
xp0 = np.array([-90.898000])
xp1 = np.array([-91.308000])
yp0 = np.array([12.584000])
yp1 = np.array([12.832000])
zp = [0.0]
strike = azimuth(yp0[0], xp0[0], yp1[0], xp1[0])
origin = Origin({'lat': 0.0,
'lon': 0.0,
'depth': 0.0,
'mag': 5.5,
'eventsourcecode': 'abcd'})
interface_width = MAX_DEPTH / np.sin(np.radians(DIP))
widths = np.ones(xp0.shape) * interface_width
dips = np.ones(xp0.shape) * DIP
strike = [strike]
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths, dips, origin, strike=strike)
map_rupture(rupture)
if interactive:
fname = os.path.join(os.path.expanduser('~'), 'rupture_map.png')
plt.savefig(fname)
print('Rupture map plot saved to %s. Delete this file if you wish.'
% fname)
def _get_cell_area(rlo, rla, coo, nnidx):
"""
:parameter rlo:
:parameter rla:
:parameter coo:
:parameter nnidx:
:return:
"""
alo = [coo[idx][0] for idx in nnidx]
ala = [coo[idx][1] for idx in nnidx]
#
# Computing azimuths and distances
azis = azimuth(rlo, rla, alo, ala)
dsts = geodetic_distance(rlo, rla, alo, ala)
#
# Processing the selected nodes
delta = 5.0
colocated = 0
nearest_nodes = {}
for azi, dst, idx in zip(azis, dsts, nnidx):
if dst < 0.5:
if (abs(rlo - coo[idx][0]) < 0.005
and abs(rla - coo[idx][1]) < 0.005):
colocated += 1
continue
# East
if abs(azi - 90) < delta:
if 90 in nearest_nodes:
if dst < nearest_nodes[90][0]:
nearest_nodes[90] = (dst, idx)
else:
nearest_nodes[90] = (dst, idx)
# South
elif abs(azi - 180) < delta:
if 180 in nearest_nodes:
if dst < nearest_nodes[180][0]:
nearest_nodes[180] = (dst, idx)
else:
nearest_nodes[180] = (dst, idx)
# West
elif abs(azi - 270) < delta:
if 270 in nearest_nodes:
if dst < nearest_nodes[270][0]:
nearest_nodes[270] = (dst, idx)
else:
nearest_nodes[270] = (dst, idx)
# North
elif abs(azi - 360) < delta or azi < delta:
if 0 in nearest_nodes:
if dst < nearest_nodes[0][0]:
nearest_nodes[0] = (dst, idx)
else:
nearest_nodes[0] = (dst, idx)
else:
pass
#
# fix missing information
out = np.nan
try:
fdsts = _get_final_dsts(nearest_nodes)
out = (fdsts[0] + fdsts[2]) / 2 * (fdsts[1] + fdsts[3]) / 2
except:
pass
logging.debug('Node:', rlo, rla)
logging.debug('Nearest nodes:', nearest_nodes)
logging.debug('Queried nodes:')
for idx in nnidx:
logging.debug(' ', coo[idx][0], coo[idx][1], coo[idx][2])
return out, colocated
def test_rupture_depth(interactive=False):
DIP = 17.0
WIDTH = 20.0
GRIDRES = 0.1
names = ['single', 'double', 'triple',
'concave', 'concave_simple', 'ANrvSA']
means = [3.1554422780092461, 2.9224454569459781,
3.0381968625073563, 2.0522694624400271,
2.4805390352818755, 2.8740121776209673]
stds = [2.1895293825074575, 2.0506459673526174,
2.0244588429154402, 2.0112565876976416,
2.1599789955270019, 1.6156220309120068]
xp0list = [np.array([118.3]),
np.array([10.1, 10.1]),
np.array([10.1, 10.1, 10.3]),
np.array([10.9, 10.5, 10.9]),
np.array([10.9, 10.6]),
np.array([-76.483, -76.626, -76.757, -76.99, -77.024, -76.925,
-76.65, -76.321, -75.997, -75.958])]
xp1list = [np.array([118.3]),
np.array([10.1, 10.3]),
np.array([10.1, 10.3, 10.1]),
np.array([10.5, 10.9, 11.3]),
np.array([10.6, 10.9]),
np.array([-76.626, -76.757, -76.99, -77.024, -76.925, -76.65,
-76.321, -75.997, -75.958, -76.006])]
yp0list = [np.array([34.2]),
np.array([34.2, 34.5]),
np.array([34.2, 34.5, 34.8]),
np.array([34.2, 34.5, 34.8]),
np.array([35.1, 35.2]),
np.array([-52.068, -51.377, -50.729, -49.845, -49.192, -48.507,
-47.875, -47.478, -47.08, -46.422])]
yp1list = [np.array([34.5]),
np.array([34.5, 34.8]),
np.array([34.5, 34.8, 35.1]),
np.array([34.5, 34.8, 34.6]),
np.array([35.2, 35.4]),
np.array([-51.377, -50.729, -49.845, -49.192, -48.507, -47.875,
-47.478, -47.08, -46.422, -45.659])]
for i in range(0, len(xp0list)):
xp0 = xp0list[i]
xp1 = xp1list[i]
yp0 = yp0list[i]
yp1 = yp1list[i]
name = names[i]
mean_value = means[i]
std_value = stds[i]
zp = np.zeros(xp0.shape)
strike = azimuth(xp0[0], yp0[0], xp1[-1], yp1[-1])
widths = np.ones(xp0.shape) * WIDTH
dips = np.ones(xp0.shape) * DIP
strike = [strike]
origin = Origin({'id': 'test',
'lon': 0, 'lat': 0,
'depth': 5.0, 'mag': 7.0, 'netid': 'us',
'network': '', 'locstring': '',
'time': HistoricTime.utcfromtimestamp(time.time())})
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths, dips, origin, strike=strike)
# make a grid of points over both quads, ask for depths
ymin = np.nanmin(rupture.lats)
ymax = np.nanmax(rupture.lats)
xmin = np.nanmin(rupture.lons)
xmax = np.nanmax(rupture.lons)
xmin = np.floor(xmin * (1 / GRIDRES)) / (1 / GRIDRES)
xmax = np.ceil(xmax * (1 / GRIDRES)) / (1 / GRIDRES)
ymin = np.floor(ymin * (1 / GRIDRES)) / (1 / GRIDRES)
ymax = np.ceil(ymax * (1 / GRIDRES)) / (1 / GRIDRES)
geodict = GeoDict.createDictFromBox(
xmin, xmax, ymin, ymax, GRIDRES, GRIDRES)
nx = geodict.nx
ny = geodict.ny
depths = np.zeros((ny, nx))
for row in range(0, ny):
for col in range(0, nx):
lat, lon = geodict.getLatLon(row, col)
depth = rupture.getDepthAtPoint(lat, lon)
depths[row, col] = depth
np.testing.assert_almost_equal(np.nanmean(depths), mean_value)
np.testing.assert_almost_equal(np.nanstd(depths), std_value)
if interactive:
fig, axes = plt.subplots(nrows=2, ncols=1)
ax1, ax2 = axes
xdata = np.append(xp0, xp1[-1])
ydata = np.append(yp0, yp1[-1])
plt.sca(ax1)
plt.plot(xdata, ydata, 'b')
plt.sca(ax2)
im = plt.imshow(depths, cmap='viridis_r') # noqa
ch = plt.colorbar() # noqa
fname = os.path.join(os.path.expanduser('~'),
'quad_%s_test.png' % name)
print('Saving image for %s quad test... %s' % (name, fname))
plt.savefig(fname)
plt.close()
def _resample_profile(line, sampling_dist):
"""
:parameter line:
An instance of :class:`openquake.hazardlib.geo.line.Line`
:parameter sampling_dist:
A scalar definining the distance used to sample the profile
:returns:
An instance of :class:`openquake.hazardlib.geo.line.Line`
"""
lo = [pnt.longitude for pnt in line.points]
la = [pnt.latitude for pnt in line.points]
de = [pnt.depth for pnt in line.points]
#
# initialise the cumulated distance
cdist = 0.
#
# get the azimuth of the profile
azim = azimuth(lo[0], la[0], lo[-1], la[-1])
#
# initialise the list with the resampled nodes
idx = 0
resampled_cs = [Point(lo[idx], la[idx], de[idx])]
#
# set the starting point
slo = lo[idx]
sla = la[idx]
sde = de[idx]
#
# resampling
while 1:
#
# check loop exit condition
if idx > len(lo) - 2:
break
#
# compute the distance between the starting point and the next point
# on the profile
segment_len = distance(slo, sla, sde, lo[idx + 1], la[idx + 1],
de[idx + 1])
#
# search for the point
if cdist + segment_len > sampling_dist:
#
# this is the lenght of the last segment-fraction needed to
# obtain the sampling distance
delta = sampling_dist - cdist
#
# compute the slope of the last segment and its horizontal length.
# We need to manage the case of a vertical segment TODO
segment_hlen = distance(slo, sla, 0., lo[idx + 1], la[idx + 1], 0.)
segment_slope = np.arctan((de[idx + 1] - sde) / segment_hlen)
#
# horizontal and vertical lenght of delta
delta_v = delta * np.sin(segment_slope)
delta_h = delta * np.cos(segment_slope)
#
# add a new point to the cross section
pnts = npoints_towards(slo, sla, sde, azim, delta_h, delta_v, 2)
#
# update the starting point
slo = pnts[0][-1]
sla = pnts[1][-1]
sde = pnts[2][-1]
resampled_cs.append(Point(slo, sla, sde))
#
# reset the cumulative distance
cdist = 0.
else:
cdist += segment_len
idx += 1
slo = lo[idx]
sla = la[idx]
sde = de[idx]
line = Line(resampled_cs)
return line
def store(filename, model, info=None):
"""
This creates a pickle file containing the list of earthquake sources
representing an earthquake source model.
:parameter filename:
The name of the file where the to store the model
:parameter model:
A list of OpenQuake hazardlib source instances
"""
# Preparing output filenames
dname = os.path.dirname(filename)
slist = re.split('\\.', os.path.basename(filename))
# SIDx
p = index.Property()
p.dimension = 3
sidx = index.Rtree(os.path.join(dname, slist[0]), properties=p)
#
cpnt = 0
l_other = []
l_points = []
for src in model:
if isinstance(src, (AreaSource, SimpleFaultSource, ComplexFaultSource,
CharacteristicFaultSource, NonParametricSeismicSource)):
l_other.append(src)
else:
if len(src.hypocenter_distribution.data) == 1:
srcs = [src]
else:
srcs = _split_point_source(src)
for src in srcs:
l_points.append(src)
# calculate distances
dst = distance(l_points[0].location.longitude,
l_points[0].location.latitude,
0.,
src.location.longitude,
src.location.latitude,
0.)
azi = azimuth(l_points[0].location.longitude,
l_points[0].location.latitude,
src.location.longitude,
src.location.latitude)
x = numpy.cos(numpy.radians(azi)) * dst
y = numpy.sin(numpy.radians(azi)) * dst
# update the spatial index
z = src.hypocenter_distribution.data[0][1]
sidx.insert(cpnt, (x, y, z, x, y, z))
cpnt += 1
# All the other sources
fou = open(filename, 'wb')
pickle.dump(l_other, fou)
fou.close()
# Load info
if info is None:
info = _get_model_info(model)
# Points
fou = open(os.path.join(dname, slist[0]) + '_points.pkl', 'wb')
pickle.dump(l_points, fou)
fou.close()
# Info
fou = open(os.path.join(dname, slist[0]) + '_info.pkl', 'wb')
pickle.dump(info, fou)
fou.close()
def test_quadrants(self):
az = geodetic.azimuth(0, 0, [0.01, 0.01, -0.01, -0.01],
[0.01, -0.01, -0.01, 0.01])
assert_aeq(az, [45, 135, 225, 315], decimal=5)
def test_quadrants(self):
az = geodetic.azimuth(0, 0, [0.01, 0.01, -0.01, -0.01],
[0.01, -0.01, -0.01, 0.01])
assert_aeq(az, [45, 135, 225, 315], decimal=5)
def test_meridians(self):
az = geodetic.azimuth(0, 0, 0, 1)
self.assertEqual(az, 0)
az = geodetic.azimuth(0, 2, 0, 1)
self.assertEqual(az, 180)
def test_LAX_to_JFK(self):
az = geodetic.azimuth(*(LAX + JFK))
self.assertAlmostEqual(az, 360 - 65.8922, places=4)
def _resample_edge_with_direction(edge,
sampling_dist,
reference_idx,
direct=+1):
"""
:param edge:
:param sampling_dist:
:param reference_idx:
:param direct:
"""
#
# checking that the increment is either 1 or -1
assert abs(direct) == 1
#
# create three lists: one with longitude, one with latitude and one with
# depth
lo = [pnt.longitude for pnt in edge.points]
la = [pnt.latitude for pnt in edge.points]
de = [pnt.depth for pnt in edge.points]
#
# initialise the variable used to store the cumulated distance
cdist = 0.
#
# initialise the list with the resampled nodes
idx = reference_idx
resampled_cs = [Point(lo[idx], la[idx], de[idx])]
#
# set the starting point
slo = lo[idx]
sla = la[idx]
sde = de[idx]
#
# get the azimuth of the first segment on the edge in the given direction
azim = azimuth(lo[idx], la[idx], lo[idx + direct], la[idx + direct])
#
# resampling
old_dst = 1.e10
while 1:
#
# this is a sanity check
assert idx <= len(lo) - 1
#
# check loop exit condition
if direct > 0 and idx > len(lo) - 1:
break
if direct < 0 and idx < 1:
break
#
# compute the distance between the starting point and the next point
# on the profile
segment_len = distance(slo, sla, sde, lo[idx + direct],
la[idx + direct], de[idx + direct])
#
# search for the point
if cdist + segment_len > sampling_dist:
#
# check
if segment_len > old_dst:
print(segment_len, '>', old_dst)
raise ValueError('The segment length is increasing')
else:
old_dst = segment_len
#
# this is the lenght of the last segment-fraction needed to
# obtain the sampling distance
delta = sampling_dist - cdist
#
# compute the slope of the last segment and its horizontal length.
# we need to manage the case of a vertical segment TODO
segment_hlen = distance(slo, sla, 0., lo[idx + direct],
la[idx + direct], 0.)
segment_slope = np.arctan((de[idx + direct] - sde) / segment_hlen)
#
# horizontal and vertical lenght of delta
delta_v = delta * np.sin(segment_slope)
delta_h = delta * np.cos(segment_slope)
#
# add a new point to the cross section
pnts = npoints_towards(slo, sla, sde, azim, delta_h, delta_v, 2)
#
# update the starting point
slo = pnts[0][-1]
sla = pnts[1][-1]
sde = pnts[2][-1]
#
# checking distance between the reference point and latest point
# included in the resampled section
pnt = resampled_cs[-1]
checkd = distance(slo, sla, sde, pnt.longitude, pnt.latitude,
pnt.depth)
# >>> TOLERANCE
if (cdist < 1e-2
and abs(checkd - sampling_dist) > 0.05 * sampling_dist):
print(checkd, sampling_dist)
msg = 'Segment distance different than sampling dst'
raise ValueError(msg)
#
# updating the resample cross-section
resampled_cs.append(Point(slo, sla, sde))
#
#
tot = distance(lo[idx], la[idx], de[idx], lo[idx + direct],
la[idx + direct], de[idx + direct])
downd = distance(slo, sla, sde, lo[idx], la[idx], de[idx])
upd = distance(slo, sla, sde, lo[idx + direct], la[idx + direct],
de[idx + direct])
#
# >>> TOLERANCE
if abs(tot - (downd + upd)) > tot * 0.05:
print(' upd, downd, tot', upd, downd, tot)
print(abs(tot - (downd + upd)))
raise ValueError('Distances are not matching')
#
# reset the cumulative distance
cdist = 0.
else:
# print('aa', cdist, segment_len, sampling_dist)
# print(' ', idx, len(lo)-1, direct)
#
#
old_dst = 1.e10
cdist += segment_len
idx += direct
slo = lo[idx]
sla = la[idx]
sde = de[idx]
#
# get the azimuth of the profile
if idx < len(lo) - 1:
azim = azimuth(lo[idx], la[idx], lo[idx + direct],
la[idx + direct])
else:
break
#
#
return resampled_cs
def test_quadrants(self):
az = geodetic.azimuth(0, 0, [0.01, 0.01, -0.01, -0.01],
[0.01, -0.01, -0.01, 0.01])
self.assertTrue(numpy.allclose(az, [45, 135, 225, 315]), str(az))
def test_equator(self):
az = geodetic.azimuth(0, 0, 1, 0)
self.assertEqual(az, 90)
az = geodetic.azimuth(1, 0, 0, 0)
self.assertEqual(az, 270)
def test_rupture_depth(interactive=False):
DIP = 17.0
WIDTH = 20.0
GRIDRES = 0.1
names = ['single', 'double', 'triple',
'concave', 'concave_simple', 'ANrvSA']
means = [3.1554422780092461, 2.9224454569459781,
3.0381968625073563, 2.0522694624400271,
2.4805390352818755, 2.8740121776209673]
stds = [2.1895293825074575, 2.0506459673526174,
2.0244588429154402, 2.0112565876976416,
2.1599789955270019, 1.6156220309120068]
xp0list = [np.array([118.3]),
np.array([10.1, 10.1]),
np.array([10.1, 10.1, 10.3]),
np.array([10.9, 10.5, 10.9]),
np.array([10.9, 10.6]),
np.array([-76.483, -76.626, -76.757, -76.99, -77.024, -76.925,
-76.65, -76.321, -75.997, -75.958])]
xp1list = [np.array([118.3]),
np.array([10.1, 10.3]),
np.array([10.1, 10.3, 10.1]),
np.array([10.5, 10.9, 11.3]),
np.array([10.6, 10.9]),
np.array([-76.626, -76.757, -76.99, -77.024, -76.925, -76.65,
-76.321, -75.997, -75.958, -76.006])]
yp0list = [np.array([34.2]),
np.array([34.2, 34.5]),
np.array([34.2, 34.5, 34.8]),
np.array([34.2, 34.5, 34.8]),
np.array([35.1, 35.2]),
np.array([-52.068, -51.377, -50.729, -49.845, -49.192, -48.507,
-47.875, -47.478, -47.08, -46.422])]
yp1list = [np.array([34.5]),
np.array([34.5, 34.8]),
np.array([34.5, 34.8, 35.1]),
np.array([34.5, 34.8, 34.6]),
np.array([35.2, 35.4]),
np.array([-51.377, -50.729, -49.845, -49.192, -48.507, -47.875,
-47.478, -47.08, -46.422, -45.659])]
for i in range(0, len(xp0list)):
xp0 = xp0list[i]
xp1 = xp1list[i]
yp0 = yp0list[i]
yp1 = yp1list[i]
name = names[i]
mean_value = means[i]
std_value = stds[i]
zp = np.zeros(xp0.shape)
strike = azimuth(xp0[0], yp0[0], xp1[-1], yp1[-1])
widths = np.ones(xp0.shape) * WIDTH
dips = np.ones(xp0.shape) * DIP
strike = [strike]
origin = Origin({'eventsourcecode': 'test', 'lat': 0, 'lon': 0,
'depth': 5.0, 'mag': 7.0})
rupture = QuadRupture.fromTrace(
xp0, yp0, xp1, yp1, zp, widths, dips, origin, strike=strike)
# make a grid of points over both quads, ask for depths
ymin = np.nanmin(rupture.lats)
ymax = np.nanmax(rupture.lats)
xmin = np.nanmin(rupture.lons)
xmax = np.nanmax(rupture.lons)
xmin = np.floor(xmin * (1 / GRIDRES)) / (1 / GRIDRES)
xmax = np.ceil(xmax * (1 / GRIDRES)) / (1 / GRIDRES)
ymin = np.floor(ymin * (1 / GRIDRES)) / (1 / GRIDRES)
ymax = np.ceil(ymax * (1 / GRIDRES)) / (1 / GRIDRES)
geodict = GeoDict.createDictFromBox(
xmin, xmax, ymin, ymax, GRIDRES, GRIDRES)
nx = geodict.nx
ny = geodict.ny
depths = np.zeros((ny, nx))
for row in range(0, ny):
for col in range(0, nx):
lat, lon = geodict.getLatLon(row, col)
depth = rupture.getDepthAtPoint(lat, lon)
depths[row, col] = depth
np.testing.assert_almost_equal(np.nanmean(depths), mean_value)
np.testing.assert_almost_equal(np.nanstd(depths), std_value)
if interactive:
fig, axes = plt.subplots(nrows=2, ncols=1)
ax1, ax2 = axes
xdata = np.append(xp0, xp1[-1])
ydata = np.append(yp0, yp1[-1])
plt.sca(ax1)
plt.plot(xdata, ydata, 'b')
plt.sca(ax2)
im = plt.imshow(depths, cmap='viridis_r') # noqa
ch = plt.colorbar() # noqa
fname = os.path.join(os.path.expanduser('~'),
'quad_%s_test.png' % name)
print('Saving image for %s quad test... %s' % (name, fname))
plt.savefig(fname)
plt.close()
def rsmpl_unsure(ix, iy, sampling_dist):
direct = 1
idx = 0
#
# create three lists: one with longitude, one with latitude and one with
# depth
lo = list(ix)
la = list(iy)
de = list(numpy.zeros_like(ix))
#
# initialise the variable used to store the cumulated distance
cdist = 0.
#
# set the starting point
slo = lo[idx]
sla = la[idx]
sde = de[idx]
#
# get the azimuth of the first segment on the edge in the given direction
azim = azimuth(lo[idx], la[idx], lo[idx + direct], la[idx + direct])
#
# initialise the list with the resampled nodes
resampled_cs = [[lo[idx], la[idx], azim]]
#
# resampling
while 1:
#
# this is a sanity check
assert idx <= len(lo) - 1
#
# check loop exit condition
if direct > 0 and idx > len(lo) - 1:
break
#
# compute the distance between the starting point and the next point
# on the profile
segment_len = distance(slo, sla, sde, lo[idx + direct],
la[idx + direct], de[idx + direct])
#
# search for the point
if cdist + segment_len > sampling_dist:
#
# this is the lenght of the last segment-fraction needed to
# obtain the sampling distance
delta = sampling_dist - cdist
#
# add a new point to the cross section
pnts = npoints_towards(slo, sla, sde, azim, delta, 0., 2)
#
# update the starting point
slo = pnts[0][-1]
sla = pnts[1][-1]
sde = pnts[2][-1]
resampled_cs.append([slo, sla, azim])
#
# reset the cumulative distance
cdist = 0.
else:
cdist += segment_len
idx += direct
slo = lo[idx]
sla = la[idx]
sde = de[idx]
#
# get the azimuth of the profile
if idx < len(lo) - 1:
azim = azimuth(lo[idx], la[idx], lo[idx + direct],
la[idx + direct])
else:
break
# code.interact(local=locals())
return numpy.array(resampled_cs)
def _resample_profile(line, sampling_dist):
# TODO split this function into smaller components.
"""
:parameter line:
An instance of :class:`openquake.hazardlib.geo.line.Line`
:parameter sampling_dist:
A scalar definining the distance [km] used to sample the profile
:returns:
An instance of :class:`openquake.hazardlib.geo.line.Line`
"""
lo = [pnt.longitude for pnt in line.points]
la = [pnt.latitude for pnt in line.points]
de = [pnt.depth for pnt in line.points]
# Set projection
g = Geod(ellps='WGS84')
# Add a tolerance length to the last point of the profile
# check that final portion of the profile is not vertical
if abs(lo[-2] - lo[-1]) > 1e-5 and abs(la[-2] - la[-1]) > 1e-5:
az12, _, odist = g.inv(lo[-2], la[-2], lo[-1], la[-1])
odist /= 1e3
slope = np.arctan((de[-1] - de[-2]) / odist)
hdist = TOL * sampling_dist * np.cos(slope)
vdist = TOL * sampling_dist * np.sin(slope)
endlon, endlat, _ = g.fwd(lo[-1], la[-1], az12, hdist * 1e3)
lo[-1] = endlon
la[-1] = endlat
de[-1] = de[-1] + vdist
az12, _, odist = g.inv(lo[-2], la[-2], lo[-1], la[-1])
# Checking
odist /= 1e3
slopec = np.arctan((de[-1] - de[-2]) / odist)
assert abs(slope - slopec) < 1e-3
else:
de[-1] = de[-1] + TOL * sampling_dist
# Initialise the cumulated distance
cdist = 0.
# Get the azimuth of the profile
azim = azimuth(lo[0], la[0], lo[-1], la[-1])
# Initialise the list with the resampled nodes
idx = 0
resampled_cs = [Point(lo[idx], la[idx], de[idx])]
# Set the starting point
slo = lo[idx]
sla = la[idx]
sde = de[idx]
# Resampling
while 1:
# Check loop exit condition
if idx > len(lo) - 2:
break
# Compute the distance between the starting point and the next point
# on the profile
segment_len = distance(slo, sla, sde, lo[idx + 1], la[idx + 1],
de[idx + 1])
# Search for the point
if cdist + segment_len > sampling_dist:
# This is the lenght of the last segment-fraction needed to
# obtain the sampling distance
delta = sampling_dist - cdist
# Compute the slope of the last segment and its horizontal length.
# We need to manage the case of a vertical segment TODO
segment_hlen = distance(slo, sla, 0., lo[idx + 1], la[idx + 1], 0.)
if segment_hlen > 1e-5:
segment_slope = np.arctan((de[idx + 1] - sde) / segment_hlen)
else:
segment_slope = 90.
# Horizontal and vertical lenght of delta
delta_v = delta * np.sin(segment_slope)
delta_h = delta * np.cos(segment_slope)
# Add a new point to the cross section
pnts = npoints_towards(slo, sla, sde, azim, delta_h, delta_v, 2)
# Update the starting point
slo = pnts[0][-1]
sla = pnts[1][-1]
sde = pnts[2][-1]
resampled_cs.append(Point(slo, sla, sde))
# Reset the cumulative distance
cdist = 0.
else:
cdist += segment_len
idx += 1
slo = lo[idx]
sla = la[idx]
sde = de[idx]
# Check the distances along the profile
coo = [[pnt.longitude, pnt.latitude, pnt.depth] for pnt in resampled_cs]
coo = np.array(coo)
for i in range(0, coo.shape[0] - 1):
dst = distance(coo[i, 0], coo[i, 1], coo[i, 2], coo[i + 1, 0],
coo[i + 1, 1], coo[i + 1, 2])
if abs(dst - sampling_dist) > 0.1 * sampling_dist:
raise ValueError('Wrong distance between points along the profile')
return Line(resampled_cs)
