示例#1
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def compute_params_for_WC_source(strike, dip, rake, depth, magnitude,
                                 faulting_type, fault_lon, fault_lat, zerolon,
                                 zerolat):
    [xcenter, ycenter] = conversion_math.latlon2xy(fault_lon, fault_lat,
                                                   zerolon, zerolat)
    L = wells_and_coppersmith.RLD_from_M(magnitude, faulting_type)
    # rupture length
    W = wells_and_coppersmith.RW_from_M(magnitude, faulting_type)
    # rupture width
    slip = wells_and_coppersmith.rectangular_slip(L * 1000, W * 1000,
                                                  magnitude)
    # must input in meters
    # xstart,ystart=conversion_math.add_vector_to_point(xcenter,ycenter,-L/2,strike[i]);  # if the hypocenter is really the center of the rupture
    # xfinish,yfinish=conversion_math.add_vector_to_point(xcenter,ycenter,L/2,strike[i]);
    xstart, ystart = conversion_math.add_vector_to_point(
        xcenter, ycenter, 0, strike)
    # if the hypocenter is on one side of the rupture
    xfinish, yfinish = conversion_math.add_vector_to_point(
        xcenter, ycenter, L, strike)
    rtlat, reverse = conversion_math.get_rtlat_dip_slip(slip, rake)
    top, bottom = conversion_math.get_top_bottom(depth, W, dip)
    Kode = 100
    comment = ''
    return [
        xstart, xfinish, ystart, yfinish, Kode, rtlat, reverse, top, bottom,
        comment
    ]
示例#2
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def gps_input_manager(params):
    # Reads file, and then performs coodinate transformation.
    # Returns an object with:
    # a vector of ux, uy, uz (3*ngps x 1).
    # a vector of lon, lat (2*ngps x 1).
    # a vector of x, y (2*ngps x 1).

    if params.mode == "SIMPLE_TEST":
        return []

    # Input of data
    [gps_lon, gps_lat, ux, uy, uz] = read_gps_file(params.gps_input_file)

    # Doing the geographic conversion and wrapping into an object
    gps_x = []
    gps_y = []
    for i in range(len(gps_lon)):
        kx, ky = conversion_math.latlon2xy(gps_lon[i], gps_lat[i], params.lon0,
                                           params.lat0)
        gps_x.append(kx)
        gps_y.append(ky)
    gps_obs_vector = np.concatenate((ux, uy, uz))
    gps_xy_vector = np.concatenate((gps_x, gps_y))
    gps_ll_vector = np.concatenate((gps_lon, gps_lat))
    GPSObject = mcmc_collections.GPS_disp_object(gps_ll_vector=gps_ll_vector,
                                                 gps_xy_vector=gps_xy_vector,
                                                 gps_obs_vector=gps_obs_vector)
    return GPSObject
示例#3
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def compute_params_for_source(strike, dip, rake, mag, eq_type, eqlon, eqlat, eqdep, zerolon, zerolat):
	xstart=[]; xfinish=[]; ystart=[]; yfinish=[]; Kode=[]; rtlat=[]; reverse=[]; top=[]; bottom=[]; comment=[];
	# Useful when you have earthquake catalog information, and you want the source information. 
	# The depth/eqlon/eqlat parameters refer to the center of the fault plane by assumption. 
	# Takes lists of parameters. 
	for i in range(len(strike)):
		[xcenter,ycenter]=conversion_math.latlon2xy(eqlon[i],eqlat[i],zerolon,zerolat);
		# print("EQ location: %f %f " % (eqlon[i],eqlat[i]) );
		# print("Ref location: %f %f " % (zerolon, zerolat) );
		# print("Coordinates: %f %f " % (x,y) );
		L=wells_and_coppersmith.RLD_from_M(mag[i],eq_type[i]);  # rupture length
		W=wells_and_coppersmith.RW_from_M(mag[i],eq_type[i]);   # rupture width
		slip = wells_and_coppersmith.rectangular_slip(L*1000,W*1000,mag[i]);  # must input in meters
		print("Fault slip: %f" % slip);
		
		# xistart,yistart=conversion_math.add_vector_to_point(xcenter,ycenter,-L/2,strike[i]);  # if the hypocenter is really the center of the rupture
		xistart,yistart=conversion_math.add_vector_to_point(xcenter,ycenter,0,strike[i]); # if the hypocenter is on one side of the rupture
		xifinish,yifinish=conversion_math.add_vector_to_point(xcenter,ycenter,L,strike[i]);
		rtlati,reversei=conversion_math.get_rtlat_dip_slip(slip, rake[i]);
		topi, bottomi=conversion_math.get_top_bottom(eqdep[i],W,dip[i]);


		xstart.append(xistart);
		ystart.append(yistart);
		xfinish.append(xifinish);
		yfinish.append(yifinish);
		Kode.append(100);
		rtlat.append(rtlati);
		reverse.append(reversei);
		top.append(topi);
		bottom.append(bottomi);
		comment.append('');

	return [xstart, xfinish, ystart, yfinish, Kode, rtlat, reverse, top, bottom, comment];
示例#4
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def compute_params_for_point_source(strike, dipangle, rake, magnitude, lon,
                                    lat, zerolon, zerolat, mu, lame1):
    # Given information about point sources from focal mechanisms,
    # Return the right components that get packaged into input_obj.
    [xcenter, ycenter] = conversion_math.latlon2xy(lon, lat, zerolon, zerolat)
    potency = get_DC_potency(rake, magnitude, mu, lame1)
    # Filler variables for the point source case
    Kode = 100
    comment = ''
    return [xcenter, ycenter, Kode, 0, 0, potency, comment]
示例#5
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def compute_params_for_slip_source(strike, dip, rake, depth, L, W, fault_lon,
                                   fault_lat, slip, zerolon, zerolat):
    [xcorner, ycorner] = conversion_math.latlon2xy(fault_lon, fault_lat,
                                                   zerolon, zerolat)
    xstart, ystart = conversion_math.add_vector_to_point(
        xcorner, ycorner, 0, strike)
    xfinish, yfinish = conversion_math.add_vector_to_point(
        xcorner, ycorner, L, strike)
    rtlat, reverse = conversion_math.get_rtlat_dip_slip(slip, rake)
    top, bottom = conversion_math.get_top_bottom_from_top(depth, W, dip)
    Kode = 100
    comment = ''
    return [
        xstart, xfinish, ystart, yfinish, Kode, rtlat, reverse, top, bottom,
        comment
    ]
示例#6
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def compute_params_for_receiver(strike, dip, rake, length, width, lon, lat, depth, zerolon, zerolat):
	xstart=[]; xfinish=[]; ystart=[]; yfinish=[]; Kode=[]; rtlat=[]; reverse=[]; top=[]; bottom=[]; comment=[];
	# Useful when you have a receiver and you want to compute stresses on it. 
	# The depth/lon/lat parameters refer to the updip fault corner where you're looking down the strike direction, and the dip is off to your right. 
	# Takes lists of parameters. 
	for i in range(len(strike)):

		[xistart,yistart]=conversion_math.latlon2xy(lon[i],lat[i],zerolon,zerolat);
		xifinish,yifinish=conversion_math.add_vector_to_point(xistart,yistart,length[i],strike[i]);
		topi, bottomi=conversion_math.get_top_bottom_from_top(depth[i],width[i],dip[i]);

		xstart.append(xistart);
		ystart.append(yistart);
		xfinish.append(xifinish);
		yfinish.append(yifinish);
		Kode.append(100);
		rtlat.append(0);
		reverse.append(0);
		top.append(topi);
		bottom.append(bottomi);
		comment.append('');

	return [xstart, xfinish, ystart, yfinish, Kode, rtlat, reverse, top, bottom, comment];
示例#7
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def compute_ll_def(params, inputs, disp_points):
    # Loop through a list of lon/lat and compute their displacements due to all sources put together.
    x = []
    y = []
    for i in range(len(disp_points.lon)):
        [xi, yi] = conversion_math.latlon2xy(disp_points.lon[i],
                                             disp_points.lat[i],
                                             inputs.zerolon, inputs.zerolat)
        x.append(xi)
        y.append(yi)

    u_ll = np.zeros(len(x))
    v_ll = np.zeros(len(x))
    w_ll = np.zeros(len(x))

    # For each coordinate requested.
    for k in range(len(x)):
        u_disp, v_disp, w_disp = compute_surface_disp_point(
            params, inputs, x[k], y[k])
        u_ll[k] = u_disp
        v_ll[k] = v_disp
        w_ll[k] = w_disp

    return [u_ll, v_ll, w_ll]
示例#8
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def make_data_dc3d():

    # USER SELECTED PARAMETER
    [strike, dip, rake] = [325, 80, 160]
    # [strike, dip, rake] = [343, 44, -62];
    [L, W, depth] = [23, 14, 15]
    # comes from Wells and Coppersmith, normal fault, M6.5.
    [lon0, lat0] = [-121.0, 34.5]
    # the top back corner of the fault plane, the natural reference point of the system.
    Mw = 6.5
    # magnitude of event
    mu = 30e9
    # 30 GPa for shear modulus
    alpha = 0.66667  # usually don't touch this.
    gps_xrange = [-123, -119]
    gps_yrange = [32.5, 36.0]
    number_gps_points = 100
    outname = 'example_gps_' + str(Mw) + '_' + str(strike) + '.txt'

    # Derived quantities
    slip = conversion_math.get_slip_from_mw_area(Mw, L, W, mu)
    strike_slip, dip_slip = conversion_math.get_lflat_dip_slip(slip, rake)
    print("strike slip:", strike_slip, "m (positive is left-lateral)")
    print("dip slip:", dip_slip, "m (positive is reverse)")

    gps_lon = []
    gps_lat = []
    for i in range(number_gps_points):
        gps_lon.append(random.uniform(gps_xrange[0], gps_xrange[1]))
        gps_lat.append(random.uniform(gps_yrange[0], gps_yrange[1]))

    # Coordinate transformation
    gps_x = []
    gps_y = []
    for i in range(number_gps_points):
        kx, ky = conversion_math.latlon2xy(gps_lon[i], gps_lat[i], lon0, lat0)
        gps_x.append(kx)
        gps_y.append(ky)

    # Mechanical part.
    # Assumes top back corner of fault plane is located at 0,0
    # Given strike, dip, rake, depth, alpha, strike_slip, and dip_slip...
    # Given vectors of gps_x and gps_y...
    # Returns vectors of gps_u, gps_v, and gps_w.
    print("Strike = ", strike)
    print("Dip = ", dip)
    print("Rake = ", rake)
    print("Depth = ", depth)
    print("Length = ", L)
    print("Width = ", W)
    print("Alpha = ", alpha)
    print("Strikeslip = ", strike_slip)
    print("Dip slip = ", dip_slip)
    ux, uy, uz = okada_class.okada_at_origin(strike, dip, rake, depth, L, W,
                                             alpha, strike_slip, dip_slip,
                                             gps_x, gps_y)

    # Add some random noise
    ux = np.add(ux, 0.001 * np.random.randn(len(ux)))
    uy = np.add(uy, 0.001 * np.random.randn(len(ux)))
    uz = np.add(uz, 0.002 * np.random.randn(len(ux)))

    plt.figure(figsize=(16, 16))
    plt.scatter(gps_lon,
                gps_lat,
                marker='o',
                s=150,
                c=uz,
                vmin=-0.015,
                vmax=0.015)
    plt.colorbar()
    plt.quiver(gps_lon,
               gps_lat,
               ux,
               uy,
               linewidths=0.01,
               edgecolors=('k'),
               scale=0.05)
    plt.xlim([np.min(gps_lon), np.max(gps_lon)])
    plt.ylim([np.min(gps_lat), np.max(gps_lat)])
    plt.grid()
    plt.title('strike=%d' % (strike))
    plt.plot(lon0, lat0, '.r', marker='o')
    plt.savefig("Displacement_model_" + str(Mw) + '_' + str(strike) + ".png")

    io_gps_mcmc.write_gps_file(gps_lon, gps_lat, ux, uy, uz, outname)
    return