1 | ''' |
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2 | Operations to extract information from an SWW file. |
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3 | ''' |
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4 | |
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5 | ## |
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6 | # @brief Get values for quantities interpolated to polyline midpoints from SWW. |
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7 | # @param filename Path to file to read. |
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8 | # @param quantity_names Quantity names to get. |
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9 | # @param polyline Representation of desired cross-section. |
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10 | # @param verbose True if this function is to be verbose. |
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11 | # @return (segments, i_func) where segments is a list of Triangle_intersection |
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12 | # instances and i_func is an instance of Interpolation_function. |
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13 | # @note For 'polyline' assume absolute UTM coordinates. |
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14 | def get_interpolated_quantities_at_polyline_midpoints(filename, |
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15 | quantity_names=None, |
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16 | polyline=None, |
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17 | verbose=False): |
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18 | """Get values for quantities interpolated to polyline midpoints from SWW |
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19 | |
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20 | Input: |
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21 | filename - Name of sww file |
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22 | quantity_names - Names of quantities to load |
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23 | polyline: Representation of desired cross section - it may contain |
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24 | multiple sections allowing for complex shapes. Assume |
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25 | absolute UTM coordinates. |
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26 | Format [[x0, y0], [x1, y1], ...] |
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27 | |
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28 | Output: |
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29 | segments: list of instances of class Triangle_intersection |
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30 | interpolation_function: Instance of class Interpolation_function |
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31 | |
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32 | |
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33 | This function is used by get_flow_through_cross_section and |
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34 | get_energy_through_cross_section |
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35 | """ |
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36 | |
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37 | from anuga.fit_interpolate.interpolate import Interpolation_function |
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38 | |
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39 | # Get mesh and quantities from sww file |
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40 | X = get_mesh_and_quantities_from_file(filename, |
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41 | quantities=quantity_names, |
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42 | verbose=verbose) |
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43 | mesh, quantities, time = X |
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44 | |
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45 | # Find all intersections and associated triangles. |
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46 | segments = mesh.get_intersecting_segments(polyline, verbose=verbose) |
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47 | |
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48 | # Get midpoints |
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49 | interpolation_points = segment_midpoints(segments) |
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50 | |
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51 | # Interpolate |
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52 | if verbose: |
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53 | log.critical('Interpolating - total number of interpolation points = %d' |
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54 | % len(interpolation_points)) |
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55 | |
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56 | I = Interpolation_function(time, |
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57 | quantities, |
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58 | quantity_names=quantity_names, |
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59 | vertex_coordinates=mesh.nodes, |
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60 | triangles=mesh.triangles, |
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61 | interpolation_points=interpolation_points, |
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62 | verbose=verbose) |
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63 | |
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64 | return segments, I |
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65 | |
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66 | |
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67 | ## |
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68 | # @brief Obtain flow (m^3/s) perpendicular to specified cross section. |
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69 | # @param filename Path to file to read. |
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70 | # @param polyline Representation of desired cross-section. |
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71 | # @param verbose Trie if this function is to be verbose. |
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72 | # @return (time, Q) where time and Q are lists of time and flow respectively. |
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73 | def get_flow_through_cross_section(filename, polyline, verbose=False): |
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74 | """Obtain flow (m^3/s) perpendicular to specified cross section. |
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75 | |
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76 | Inputs: |
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77 | filename: Name of sww file |
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78 | polyline: Representation of desired cross section - it may contain |
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79 | multiple sections allowing for complex shapes. Assume |
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80 | absolute UTM coordinates. |
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81 | Format [[x0, y0], [x1, y1], ...] |
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82 | |
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83 | Output: |
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84 | time: All stored times in sww file |
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85 | Q: Hydrograph of total flow across given segments for all stored times. |
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86 | |
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87 | The normal flow is computed for each triangle intersected by the polyline |
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88 | and added up. Multiple segments at different angles are specified the |
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89 | normal flows may partially cancel each other. |
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90 | |
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91 | The typical usage of this function would be to get flow through a channel, |
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92 | and the polyline would then be a cross section perpendicular to the flow. |
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93 | """ |
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94 | |
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95 | quantity_names =['elevation', |
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96 | 'stage', |
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97 | 'xmomentum', |
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98 | 'ymomentum'] |
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99 | |
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100 | # Get values for quantities at each midpoint of poly line from sww file |
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101 | X = get_interpolated_quantities_at_polyline_midpoints(filename, |
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102 | quantity_names=\ |
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103 | quantity_names, |
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104 | polyline=polyline, |
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105 | verbose=verbose) |
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106 | segments, interpolation_function = X |
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107 | |
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108 | # Get vectors for time and interpolation_points |
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109 | time = interpolation_function.time |
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110 | interpolation_points = interpolation_function.interpolation_points |
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111 | |
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112 | if verbose: log.critical('Computing hydrograph') |
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113 | |
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114 | # Compute hydrograph |
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115 | Q = [] |
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116 | for t in time: |
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117 | total_flow = 0 |
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118 | for i in range(len(interpolation_points)): |
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119 | elevation, stage, uh, vh = interpolation_function(t, point_id=i) |
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120 | normal = segments[i].normal |
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121 | |
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122 | # Inner product of momentum vector with segment normal [m^2/s] |
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123 | normal_momentum = uh*normal[0] + vh*normal[1] |
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124 | |
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125 | # Flow across this segment [m^3/s] |
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126 | segment_flow = normal_momentum * segments[i].length |
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127 | |
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128 | # Accumulate |
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129 | total_flow += segment_flow |
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130 | |
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131 | # Store flow at this timestep |
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132 | Q.append(total_flow) |
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133 | |
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134 | |
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135 | return time, Q |
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136 | |
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137 | |
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138 | ## |
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139 | # @brief Get average energy across a cross-section. |
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140 | # @param filename Path to file of interest. |
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141 | # @param polyline Representation of desired cross-section. |
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142 | # @param kind Select energy to compute: 'specific' or 'total'. |
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143 | # @param verbose True if this function is to be verbose. |
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144 | # @return (time, E) where time and E are lists of timestep and energy. |
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145 | def get_energy_through_cross_section(filename, |
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146 | polyline, |
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147 | kind='total', |
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148 | verbose=False): |
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149 | """Obtain average energy head [m] across specified cross section. |
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150 | |
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151 | Inputs: |
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152 | polyline: Representation of desired cross section - it may contain |
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153 | multiple sections allowing for complex shapes. Assume |
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154 | absolute UTM coordinates. |
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155 | Format [[x0, y0], [x1, y1], ...] |
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156 | kind: Select which energy to compute. |
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157 | Options are 'specific' and 'total' (default) |
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158 | |
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159 | Output: |
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160 | E: Average energy [m] across given segments for all stored times. |
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161 | |
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162 | The average velocity is computed for each triangle intersected by |
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163 | the polyline and averaged weighted by segment lengths. |
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164 | |
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165 | The typical usage of this function would be to get average energy of |
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166 | flow in a channel, and the polyline would then be a cross section |
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167 | perpendicular to the flow. |
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168 | |
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169 | #FIXME (Ole) - need name for this energy reflecting that its dimension |
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170 | is [m]. |
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171 | """ |
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172 | |
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173 | from anuga.config import g, epsilon, velocity_protection as h0 |
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174 | |
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175 | quantity_names =['elevation', |
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176 | 'stage', |
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177 | 'xmomentum', |
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178 | 'ymomentum'] |
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179 | |
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180 | # Get values for quantities at each midpoint of poly line from sww file |
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181 | X = get_interpolated_quantities_at_polyline_midpoints(filename, |
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182 | quantity_names=\ |
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183 | quantity_names, |
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184 | polyline=polyline, |
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185 | verbose=verbose) |
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186 | segments, interpolation_function = X |
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187 | |
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188 | # Get vectors for time and interpolation_points |
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189 | time = interpolation_function.time |
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190 | interpolation_points = interpolation_function.interpolation_points |
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191 | |
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192 | if verbose: log.critical('Computing %s energy' % kind) |
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193 | |
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194 | # Compute total length of polyline for use with weighted averages |
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195 | total_line_length = 0.0 |
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196 | for segment in segments: |
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197 | total_line_length += segment.length |
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198 | |
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199 | # Compute energy |
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200 | E = [] |
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201 | for t in time: |
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202 | average_energy = 0.0 |
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203 | for i, p in enumerate(interpolation_points): |
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204 | elevation, stage, uh, vh = interpolation_function(t, point_id=i) |
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205 | |
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206 | # Depth |
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207 | h = depth = stage-elevation |
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208 | |
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209 | # Average velocity across this segment |
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210 | if h > epsilon: |
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211 | # Use protection against degenerate velocities |
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212 | u = uh / (h + h0/h) |
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213 | v = vh / (h + h0/h) |
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214 | else: |
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215 | u = v = 0.0 |
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216 | |
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217 | speed_squared = u*u + v*v |
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218 | kinetic_energy = 0.5 * speed_squared / g |
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219 | |
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220 | if kind == 'specific': |
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221 | segment_energy = depth + kinetic_energy |
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222 | elif kind == 'total': |
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223 | segment_energy = stage + kinetic_energy |
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224 | else: |
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225 | msg = 'Energy kind must be either "specific" or "total". ' |
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226 | msg += 'I got %s' % kind |
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227 | |
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228 | # Add to weighted average |
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229 | weigth = segments[i].length / total_line_length |
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230 | average_energy += segment_energy * weigth |
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231 | |
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232 | # Store energy at this timestep |
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233 | E.append(average_energy) |
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234 | |
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235 | return time, E |
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236 | |
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237 | |
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238 | ## |
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239 | # @brief Return highest elevation where depth > 0. |
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240 | # @param filename Path to SWW file of interest. |
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241 | # @param polygon If specified resrict to points inside this polygon. |
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242 | # @param time_interval If specified resrict to within the time specified. |
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243 | # @param verbose True if this function is to be verbose. |
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244 | def get_maximum_inundation_elevation(filename, |
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245 | polygon=None, |
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246 | time_interval=None, |
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247 | verbose=False): |
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248 | """Return highest elevation where depth > 0 |
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249 | |
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250 | Usage: |
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251 | max_runup = get_maximum_inundation_elevation(filename, |
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252 | polygon=None, |
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253 | time_interval=None, |
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254 | verbose=False) |
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255 | |
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256 | filename is a NetCDF sww file containing ANUGA model output. |
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257 | Optional arguments polygon and time_interval restricts the maximum |
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258 | runup calculation |
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259 | to a points that lie within the specified polygon and time interval. |
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260 | |
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261 | If no inundation is found within polygon and time_interval the return value |
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262 | is None signifying "No Runup" or "Everything is dry". |
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263 | |
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264 | See general function get_maximum_inundation_data for details. |
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265 | """ |
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266 | |
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267 | runup, _ = get_maximum_inundation_data(filename, |
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268 | polygon=polygon, |
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269 | time_interval=time_interval, |
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270 | verbose=verbose) |
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271 | return runup |
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272 | |
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273 | |
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274 | ## |
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275 | # @brief Return location of highest elevation where h > 0 |
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276 | # @param filename Path to SWW file to read. |
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277 | # @param polygon If specified resrict to points inside this polygon. |
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278 | # @param time_interval If specified resrict to within the time specified. |
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279 | # @param verbose True if this function is to be verbose. |
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280 | def get_maximum_inundation_location(filename, |
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281 | polygon=None, |
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282 | time_interval=None, |
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283 | verbose=False): |
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284 | """Return location of highest elevation where h > 0 |
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285 | |
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286 | Usage: |
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287 | max_runup_location = get_maximum_inundation_location(filename, |
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288 | polygon=None, |
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289 | time_interval=None, |
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290 | verbose=False) |
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291 | |
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292 | filename is a NetCDF sww file containing ANUGA model output. |
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293 | Optional arguments polygon and time_interval restricts the maximum |
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294 | runup calculation |
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295 | to a points that lie within the specified polygon and time interval. |
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296 | |
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297 | If no inundation is found within polygon and time_interval the return value |
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298 | is None signifying "No Runup" or "Everything is dry". |
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299 | |
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300 | See general function get_maximum_inundation_data for details. |
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301 | """ |
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302 | |
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303 | _, max_loc = get_maximum_inundation_data(filename, |
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304 | polygon=polygon, |
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305 | time_interval=time_interval, |
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306 | verbose=verbose) |
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307 | return max_loc |
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308 | |
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309 | |
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310 | ## |
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311 | # @brief Compute maximum run up height from SWW file. |
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312 | # @param filename Path to SWW file to read. |
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313 | # @param polygon If specified resrict to points inside this polygon. |
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314 | # @param time_interval If specified resrict to within the time specified. |
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315 | # @param use_centroid_values |
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316 | # @param verbose True if this function is to be verbose. |
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317 | # @return (maximal_runup, maximal_runup_location) |
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318 | def get_maximum_inundation_data(filename, polygon=None, time_interval=None, |
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319 | use_centroid_values=False, |
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320 | verbose=False): |
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321 | """Compute maximum run up height from sww file. |
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322 | |
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323 | Usage: |
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324 | runup, location = get_maximum_inundation_data(filename, |
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325 | polygon=None, |
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326 | time_interval=None, |
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327 | verbose=False) |
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328 | |
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329 | Algorithm is as in get_maximum_inundation_elevation from |
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330 | shallow_water_domain except that this function works with the sww file and |
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331 | computes the maximal runup height over multiple timesteps. |
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332 | |
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333 | Optional arguments polygon and time_interval restricts the maximum runup |
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334 | calculation to a points that lie within the specified polygon and time |
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335 | interval. |
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336 | |
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337 | Polygon is assumed to be in (absolute) UTM coordinates in the same zone |
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338 | as domain. |
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339 | |
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340 | If no inundation is found within polygon and time_interval the return value |
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341 | is None signifying "No Runup" or "Everything is dry". |
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342 | """ |
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343 | |
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344 | # We are using nodal values here as that is what is stored in sww files. |
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345 | |
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346 | # Water depth below which it is considered to be 0 in the model |
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347 | # FIXME (Ole): Allow this to be specified as a keyword argument as well |
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348 | |
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349 | from anuga.geometry.polygon import inside_polygon |
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350 | from anuga.config import minimum_allowed_height |
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351 | from Scientific.IO.NetCDF import NetCDFFile |
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352 | |
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353 | dir, base = os.path.split(filename) |
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354 | |
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355 | iterate_over = get_all_swwfiles(dir, base) |
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356 | |
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357 | # Read sww file |
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358 | if verbose: log.critical('Reading from %s' % filename) |
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359 | # FIXME: Use general swwstats (when done) |
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360 | |
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361 | maximal_runup = None |
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362 | maximal_runup_location = None |
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363 | |
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364 | for file, swwfile in enumerate (iterate_over): |
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365 | # Read sww file |
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366 | filename = join(dir, swwfile+'.sww') |
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367 | |
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368 | if verbose: log.critical('Reading from %s' % filename) |
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369 | # FIXME: Use general swwstats (when done) |
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370 | |
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371 | fid = NetCDFFile(filename) |
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372 | |
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373 | # Get geo_reference |
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374 | # sww files don't have to have a geo_ref |
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375 | try: |
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376 | geo_reference = Geo_reference(NetCDFObject=fid) |
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377 | except AttributeError, e: |
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378 | geo_reference = Geo_reference() # Default georef object |
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379 | |
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380 | xllcorner = geo_reference.get_xllcorner() |
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381 | yllcorner = geo_reference.get_yllcorner() |
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382 | zone = geo_reference.get_zone() |
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383 | |
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384 | # Get extent |
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385 | volumes = fid.variables['volumes'][:] |
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386 | x = fid.variables['x'][:] + xllcorner |
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387 | y = fid.variables['y'][:] + yllcorner |
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388 | |
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389 | # Get the relevant quantities (Convert from single precison) |
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390 | elevation = num.array(fid.variables['elevation'][:], num.float) |
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391 | stage = num.array(fid.variables['stage'][:], num.float) |
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392 | |
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393 | # Here's where one could convert nodal information to centroid |
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394 | # information but is probably something we need to write in C. |
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395 | # Here's a Python thought which is NOT finished!!! |
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396 | if use_centroid_values is True: |
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397 | x = get_centroid_values(x, volumes) |
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398 | y = get_centroid_values(y, volumes) |
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399 | elevation = get_centroid_values(elevation, volumes) |
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400 | |
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401 | # Spatial restriction |
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402 | if polygon is not None: |
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403 | msg = 'polygon must be a sequence of points.' |
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404 | assert len(polygon[0]) == 2, msg |
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405 | # FIXME (Ole): Make a generic polygon input check in polygon.py |
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406 | # and call it here |
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407 | points = num.ascontiguousarray(num.concatenate((x[:,num.newaxis], |
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408 | y[:,num.newaxis]), |
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409 | axis=1)) |
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410 | point_indices = inside_polygon(points, polygon) |
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411 | |
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412 | # Restrict quantities to polygon |
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413 | elevation = num.take(elevation, point_indices, axis=0) |
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414 | stage = num.take(stage, point_indices, axis=1) |
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415 | |
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416 | # Get info for location of maximal runup |
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417 | points_in_polygon = num.take(points, point_indices, axis=0) |
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418 | |
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419 | x = points_in_polygon[:,0] |
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420 | y = points_in_polygon[:,1] |
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421 | else: |
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422 | # Take all points |
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423 | point_indices = num.arange(len(x)) |
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424 | |
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425 | # Temporal restriction |
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426 | time = fid.variables['time'][:] |
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427 | all_timeindices = num.arange(len(time)) |
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428 | if time_interval is not None: |
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429 | msg = 'time_interval must be a sequence of length 2.' |
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430 | assert len(time_interval) == 2, msg |
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431 | msg = 'time_interval %s must not be decreasing.' % time_interval |
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432 | assert time_interval[1] >= time_interval[0], msg |
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433 | msg = 'Specified time interval [%.8f:%.8f] ' % tuple(time_interval) |
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434 | msg += 'must does not match model time interval: [%.8f, %.8f]\n' \ |
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435 | % (time[0], time[-1]) |
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436 | if time_interval[1] < time[0]: raise ValueError(msg) |
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437 | if time_interval[0] > time[-1]: raise ValueError(msg) |
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438 | |
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439 | # Take time indices corresponding to interval (& is bitwise AND) |
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440 | timesteps = num.compress((time_interval[0] <= time) \ |
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441 | & (time <= time_interval[1]), |
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442 | all_timeindices) |
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443 | |
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444 | msg = 'time_interval %s did not include any model timesteps.' \ |
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445 | % time_interval |
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446 | assert not num.alltrue(timesteps == 0), msg |
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447 | else: |
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448 | # Take them all |
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449 | timesteps = all_timeindices |
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450 | |
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451 | fid.close() |
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452 | |
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453 | # Compute maximal runup for each timestep |
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454 | #maximal_runup = None |
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455 | #maximal_runup_location = None |
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456 | #maximal_runups = [None] |
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457 | #maximal_runup_locations = [None] |
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458 | |
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459 | for i in timesteps: |
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460 | if use_centroid_values is True: |
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461 | stage_i = get_centroid_values(stage[i,:], volumes) |
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462 | else: |
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463 | stage_i = stage[i,:] |
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464 | |
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465 | depth = stage_i - elevation |
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466 | |
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467 | # Get wet nodes i.e. nodes with depth>0 within given region |
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468 | # and timesteps |
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469 | wet_nodes = num.compress(depth > minimum_allowed_height, |
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470 | num.arange(len(depth))) |
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471 | |
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472 | if num.alltrue(wet_nodes == 0): |
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473 | runup = None |
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474 | else: |
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475 | # Find maximum elevation among wet nodes |
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476 | wet_elevation = num.take(elevation, wet_nodes, axis=0) |
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477 | runup_index = num.argmax(wet_elevation) |
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478 | runup = max(wet_elevation) |
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479 | assert wet_elevation[runup_index] == runup # Must be True |
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480 | |
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481 | if runup > maximal_runup: |
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482 | maximal_runup = runup # works even if maximal_runup is None |
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483 | |
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484 | # Record location |
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485 | wet_x = num.take(x, wet_nodes, axis=0) |
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486 | wet_y = num.take(y, wet_nodes, axis=0) |
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487 | maximal_runup_location = [wet_x[runup_index],wet_y[runup_index]] |
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488 | |
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489 | return maximal_runup, maximal_runup_location |
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490 | |
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491 | |
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492 | |
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493 | def test_get_maximum_inundation_from_sww(self): |
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494 | """test_get_maximum_inundation_from_sww(self) |
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495 | |
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496 | Test of get_maximum_inundation_elevation() |
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497 | and get_maximum_inundation_location() from data_manager.py |
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498 | |
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499 | This is based on test_get_maximum_inundation_3(self) but works with the |
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500 | stored results instead of with the internal data structure. |
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501 | |
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502 | This test uses the underlying get_maximum_inundation_data for tests |
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503 | """ |
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504 | |
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505 | from anuga.abstract_2d_finite_volumes.mesh_factory \ |
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506 | import rectangular_cross |
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507 | from data_manager import get_maximum_inundation_elevation |
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508 | from data_manager import get_maximum_inundation_location |
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509 | from data_manager import get_maximum_inundation_data |
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510 | |
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511 | initial_runup_height = -0.4 |
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512 | final_runup_height = -0.3 |
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513 | |
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514 | #-------------------------------------------------------------- |
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515 | # Setup computational domain |
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516 | #-------------------------------------------------------------- |
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517 | N = 10 |
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518 | points, vertices, boundary = rectangular_cross(N, N) |
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519 | domain = Domain(points, vertices, boundary) |
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520 | domain.set_name('runup_test') |
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521 | domain.set_maximum_allowed_speed(1.0) |
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522 | |
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523 | # FIXME: This works better with old limiters so far |
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524 | domain.tight_slope_limiters = 0 |
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525 | |
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526 | #-------------------------------------------------------------- |
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527 | # Setup initial conditions |
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528 | #-------------------------------------------------------------- |
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529 | def topography(x, y): |
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530 | return -x/2 # linear bed slope |
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531 | |
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532 | # Use function for elevation |
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533 | domain.set_quantity('elevation', topography) |
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534 | domain.set_quantity('friction', 0.) # Zero friction |
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535 | # Constant negative initial stage |
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536 | domain.set_quantity('stage', initial_runup_height) |
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537 | |
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538 | #-------------------------------------------------------------- |
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539 | # Setup boundary conditions |
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540 | #-------------------------------------------------------------- |
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541 | Br = Reflective_boundary(domain) # Reflective wall |
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542 | Bd = Dirichlet_boundary([final_runup_height, 0, 0]) # Constant inflow |
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543 | |
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544 | # All reflective to begin with (still water) |
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545 | domain.set_boundary({'left': Br, 'right': Br, 'top': Br, 'bottom': Br}) |
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546 | |
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547 | #-------------------------------------------------------------- |
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548 | # Test initial inundation height |
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549 | #-------------------------------------------------------------- |
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550 | indices = domain.get_wet_elements() |
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551 | z = domain.get_quantity('elevation').\ |
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552 | get_values(location='centroids', indices=indices) |
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553 | assert num.alltrue(z < initial_runup_height) |
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554 | |
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555 | q_ref = domain.get_maximum_inundation_elevation() |
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556 | # First order accuracy |
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557 | assert num.allclose(q_ref, initial_runup_height, rtol=1.0/N) |
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558 | |
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559 | #-------------------------------------------------------------- |
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560 | # Let triangles adjust |
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561 | #-------------------------------------------------------------- |
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562 | for t in domain.evolve(yieldstep = 0.1, finaltime = 1.0): |
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563 | pass |
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564 | |
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565 | #-------------------------------------------------------------- |
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566 | # Test inundation height again |
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567 | #-------------------------------------------------------------- |
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568 | q_ref = domain.get_maximum_inundation_elevation() |
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569 | q = get_maximum_inundation_elevation('runup_test.sww') |
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570 | msg = 'We got %f, should have been %f' % (q, q_ref) |
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571 | assert num.allclose(q, q_ref, rtol=1.0/N), msg |
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572 | |
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573 | q = get_maximum_inundation_elevation('runup_test.sww') |
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574 | msg = 'We got %f, should have been %f' % (q, initial_runup_height) |
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575 | assert num.allclose(q, initial_runup_height, rtol = 1.0/N), msg |
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576 | |
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577 | # Test error condition if time interval is out |
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578 | try: |
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579 | q = get_maximum_inundation_elevation('runup_test.sww', |
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580 | time_interval=[2.0, 3.0]) |
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581 | except ValueError: |
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582 | pass |
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583 | else: |
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584 | msg = 'should have caught wrong time interval' |
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585 | raise Exception, msg |
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586 | |
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587 | # Check correct time interval |
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588 | q, loc = get_maximum_inundation_data('runup_test.sww', |
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589 | time_interval=[0.0, 3.0]) |
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590 | msg = 'We got %f, should have been %f' % (q, initial_runup_height) |
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591 | assert num.allclose(q, initial_runup_height, rtol = 1.0/N), msg |
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592 | assert num.allclose(-loc[0]/2, q) # From topography formula |
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593 | |
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594 | #-------------------------------------------------------------- |
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595 | # Update boundary to allow inflow |
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596 | #-------------------------------------------------------------- |
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597 | domain.set_boundary({'right': Bd}) |
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598 | |
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599 | #-------------------------------------------------------------- |
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600 | # Evolve system through time |
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601 | #-------------------------------------------------------------- |
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602 | q_max = None |
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603 | for t in domain.evolve(yieldstep = 0.1, finaltime = 3.0, |
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604 | skip_initial_step = True): |
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605 | q = domain.get_maximum_inundation_elevation() |
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606 | if q > q_max: |
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607 | q_max = q |
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608 | |
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609 | #-------------------------------------------------------------- |
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610 | # Test inundation height again |
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611 | #-------------------------------------------------------------- |
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612 | indices = domain.get_wet_elements() |
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613 | z = domain.get_quantity('elevation').\ |
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614 | get_values(location='centroids', indices=indices) |
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615 | |
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616 | assert num.alltrue(z < final_runup_height) |
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617 | |
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618 | q = domain.get_maximum_inundation_elevation() |
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619 | # First order accuracy |
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620 | assert num.allclose(q, final_runup_height, rtol=1.0/N) |
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621 | |
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622 | q, loc = get_maximum_inundation_data('runup_test.sww', |
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623 | time_interval=[3.0, 3.0]) |
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624 | msg = 'We got %f, should have been %f' % (q, final_runup_height) |
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625 | assert num.allclose(q, final_runup_height, rtol=1.0/N), msg |
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626 | assert num.allclose(-loc[0]/2, q) # From topography formula |
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627 | |
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628 | q = get_maximum_inundation_elevation('runup_test.sww') |
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629 | loc = get_maximum_inundation_location('runup_test.sww') |
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630 | msg = 'We got %f, should have been %f' % (q, q_max) |
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631 | assert num.allclose(q, q_max, rtol=1.0/N), msg |
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632 | assert num.allclose(-loc[0]/2, q) # From topography formula |
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633 | |
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634 | q = get_maximum_inundation_elevation('runup_test.sww', |
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635 | time_interval=[0, 3]) |
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636 | msg = 'We got %f, should have been %f' % (q, q_max) |
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637 | assert num.allclose(q, q_max, rtol=1.0/N), msg |
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638 | |
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639 | # Check polygon mode |
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640 | # Runup region |
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641 | polygon = [[0.3, 0.0], [0.9, 0.0], [0.9, 1.0], [0.3, 1.0]] |
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642 | q = get_maximum_inundation_elevation('runup_test.sww', |
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643 | polygon = polygon, |
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644 | time_interval=[0, 3]) |
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645 | msg = 'We got %f, should have been %f' % (q, q_max) |
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646 | assert num.allclose(q, q_max, rtol=1.0/N), msg |
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647 | |
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648 | # Offshore region |
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649 | polygon = [[0.9, 0.0], [1.0, 0.0], [1.0, 1.0], [0.9, 1.0]] |
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650 | q, loc = get_maximum_inundation_data('runup_test.sww', |
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651 | polygon = polygon, |
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652 | time_interval=[0, 3]) |
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653 | msg = 'We got %f, should have been %f' % (q, -0.475) |
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654 | assert num.allclose(q, -0.475, rtol=1.0/N), msg |
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655 | assert is_inside_polygon(loc, polygon) |
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656 | assert num.allclose(-loc[0]/2, q) # From topography formula |
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657 | |
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658 | # Dry region |
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659 | polygon = [[0.0, 0.0], [0.4, 0.0], [0.4, 1.0], [0.0, 1.0]] |
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660 | q, loc = get_maximum_inundation_data('runup_test.sww', |
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661 | polygon = polygon, |
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662 | time_interval=[0, 3]) |
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663 | msg = 'We got %s, should have been None' % (q) |
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664 | assert q is None, msg |
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665 | msg = 'We got %s, should have been None' % (loc) |
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666 | assert loc is None, msg |
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667 | |
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668 | # Check what happens if no time point is within interval |
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669 | try: |
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670 | q = get_maximum_inundation_elevation('runup_test.sww', |
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671 | time_interval=[2.75, 2.75]) |
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672 | except AssertionError: |
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673 | pass |
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674 | else: |
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675 | msg = 'Time interval should have raised an exception' |
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676 | raise Exception, msg |
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677 | |
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678 | # Cleanup |
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679 | try: |
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680 | os.remove(domain.get_name() + '.sww') |
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681 | except: |
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682 | pass |
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683 | #FIXME(Ole): Windows won't allow removal of this |
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684 | |
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