| 1 | """Read in sww file, interpolate at specified locations and plot time series |
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| 2 | |
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| 3 | """ |
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| 4 | |
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| 5 | import project |
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| 6 | from pyvolution.util import file_function |
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| 7 | #from pyvolution.coordinate_transforms.redfearn import degminsec2decimal_degrees, redfearn |
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| 8 | from coordinate_transforms.redfearn import degminsec2decimal_degrees, redfearn |
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| 9 | from pylab import * |
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| 10 | |
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| 11 | |
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| 12 | |
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| 13 | #swwfile = project.newoutputname + '.sww' |
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| 14 | swwfile = project.outputname + '.sww' |
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| 15 | |
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| 16 | #Time interval to plot |
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| 17 | tmin = 13000 |
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| 18 | tmax = 21000 |
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| 19 | |
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| 20 | def get_gauges_from_file(filename): |
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| 21 | fid = open(filename) |
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| 22 | lines = fid.readlines() |
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| 23 | fid.close() |
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| 24 | |
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| 25 | gauges = [] |
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| 26 | gaugelocation = [] |
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| 27 | for line in lines[1:]: |
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| 28 | fields = line.split(',') |
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| 29 | # my gauge file set up as locationname, easting, northing |
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| 30 | location = fields[0] |
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| 31 | easting = float(fields[1]) |
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| 32 | northing = float(fields[2]) |
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| 33 | #z, easting, northing = redfearn(lat, lon) |
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| 34 | gauges.append([easting, northing]) |
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| 35 | gaugelocation.append(location) |
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| 36 | |
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| 37 | #Return gauges and raw data for subsequent storage |
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| 38 | #return gauges, linesfs |
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| 39 | return gauges, lines, gaugelocation |
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| 40 | |
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| 41 | #gauges, buildings = get_gauges_from_file(project.gauge_filename) |
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| 42 | gauges, lines, locations = get_gauges_from_file(project.gauge_filename) |
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| 43 | |
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| 44 | #Read model output |
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| 45 | quantities = ['stage', 'elevation', 'xmomentum', 'ymomentum'] |
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| 46 | f = file_function(swwfile, |
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| 47 | quantities = quantities, |
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| 48 | interpolation_points = gauges, |
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| 49 | verbose = True, |
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| 50 | use_cache = True) |
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| 51 | |
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| 52 | |
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| 53 | |
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| 54 | from math import sqrt |
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| 55 | N = len(gauges) |
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| 56 | for k, g in enumerate(gauges): |
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| 57 | if k%((N+10)/10)==0: # diagnostics - print 10 lines |
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| 58 | print 'Doing row %d of %d' %(k, N) |
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| 59 | |
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| 60 | model_time = [] |
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| 61 | stages = [] |
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| 62 | elevations = [] |
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| 63 | momenta = [] |
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| 64 | velocity = [] |
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| 65 | |
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| 66 | max_depth = 0 |
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| 67 | max_momentum = 0 |
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| 68 | max_velocity = 0 |
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| 69 | for i, t in enumerate(f.T): # T is a list of times |
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| 70 | #if tmin < t < tmax: |
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| 71 | w = f(t, point_id = k)[0] |
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| 72 | z = f(t, point_id = k)[1] |
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| 73 | uh = f(t, point_id = k)[2] |
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| 74 | vh = f(t, point_id = k)[3] |
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| 75 | #myloc = locations[k] |
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| 76 | |
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| 77 | m = sqrt(uh*uh + vh*vh) #Absolute momentum |
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| 78 | vel = sqrt(uh*uh + vh*vh) / (w-z + 1.e-30) #Absolute velocity |
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| 79 | print vel |
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| 80 | #dep = w-z |
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| 81 | #vel = sqrt(uh*uh + vh*vh) / dep #Absolute velocity |
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| 82 | |
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| 83 | model_time.append(t) |
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| 84 | stages.append(w) |
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| 85 | elevations.append(z) #Should be constant over time |
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| 86 | momenta.append(m) |
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| 87 | velocity.append(vel) |
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| 88 | |
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| 89 | if w-z > max_depth: |
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| 90 | max_depth = w-z |
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| 91 | if m > max_momentum: |
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| 92 | max_momentum = m |
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| 93 | if vel > max_velocity: |
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| 94 | max_velocity = vel |
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| 95 | print 'max speed', max_velocity |
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| 96 | |
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| 97 | |
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| 98 | |
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| 99 | #Plot only those gauges that have been inundated by more than a threshold |
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| 100 | #if max_depth < 0.2: |
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| 101 | # print 'Skipping gauge %d' %k |
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| 102 | # continue |
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| 103 | |
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| 104 | ion() |
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| 105 | hold(False) |
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| 106 | |
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| 107 | if elevations[0] < -10: |
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| 108 | plot(model_time, stages, '-b') |
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| 109 | else: |
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| 110 | plot(model_time, stages, '-b', |
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| 111 | model_time, elevations, '-k') |
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| 112 | name = 'Gauge_%d: (%.1f, %.1f)' %(k, g[0], g[1]) |
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| 113 | #name = 'Gauge_%d: (%.1f, %.1f) Location: %s' %(k, g[0], g[1], myloc) |
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| 114 | title(name) |
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| 115 | |
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| 116 | title('%s (stage)' %name) |
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| 117 | xlabel('time [s]') |
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| 118 | ylabel('elevation [m]') |
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| 119 | legend(('Stage', 'Bed = %.1f' %elevations[0]), |
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| 120 | shadow=True, |
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| 121 | loc='upper right') |
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| 122 | savefig('Gauge_%d_stage' %k) # savefig('Gauge_%s_stage' %myloc) |
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| 123 | |
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| 124 | raw_input('Next') |
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| 125 | |
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| 126 | |
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| 127 | #Momentum plot |
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| 128 | ion() |
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| 129 | hold(False) |
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| 130 | plot(model_time, momenta, '-r') |
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| 131 | title(name) |
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| 132 | |
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| 133 | title('%s (momentum)' %name) |
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| 134 | xlabel('time [s]') |
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| 135 | ylabel('sqrt( uh^2 + vh^2 ) [m^2/s]') |
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| 136 | savefig('Gauge_%d_momentum' %k) |
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| 137 | #savefig('Gauge_%s_momentum' %myloc) |
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| 138 | |
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| 139 | raw_input('Next') |
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| 140 | |
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| 141 | #Speed plot |
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| 142 | ion() |
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| 143 | hold(False) |
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| 144 | plot(model_time, velocity, '-r') |
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| 145 | title(name) |
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| 146 | |
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| 147 | title('%s (velocity)' %name) |
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| 148 | xlabel('time [s]') |
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| 149 | ylabel('sqrt( uh^2 + vh^2 ) / depth [m/s]') |
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| 150 | savefig('Gauge_%d_speed' %k) |
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| 151 | #savefig('Gauge_%s_speed' %myloc) |
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| 152 | |
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| 153 | raw_input('Next') |
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| 154 | |
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| 155 | |
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| 156 | show() |
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| 157 | |
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