| [5366] | 1 | ANUGA CONVERGENCE STUDY USING TRUE-SCALE VERSION OF THE |
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| 2 | OKUSHIRI ISLAND TSUNAMI WAVETANK EXPERIMENT |
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| 3 | |
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| 4 | This directory currently contains code to scale-up to true scale, the 1:400 |
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| 5 | wave tank simulation of the 1993 Okushiri island tsunami as described at |
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| 6 | the Third International Conference on Long Wave Runup: |
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| 7 | http://www.cee.cornell.edu/longwave/index.cfm?page=benchmark&problem=2. |
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| [5720] | 8 | |
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| 9 | The "up-scaled" files are then used for conducting a convergence study |
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| 10 | in ANUGA. |
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| [5366] | 11 | |
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| 12 | Data files available in this directory are |
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| 13 | |
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| 14 | okushiri_truescale_bathymetry.txt: |
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| 15 | The true-scale digital elevation model |
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| 16 | |
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| 17 | okushiri_truescale_input.txt: |
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| 18 | The true-scale timeseries applied at the western boundary |
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| 19 | |
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| 20 | okushiri_output_truescale_ch5-7-9.txt: |
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| 21 | Experimental data measured at three gauge locations in the original wavetank experiment |
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| 22 | which has been up-scaled to true-scale |
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| 23 | |
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| 24 | |
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| 25 | The ANUGA scripts to run are |
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| 26 | |
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| 27 | project_truescale.py: |
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| 28 | This script contains project filenames and is called in the create and run scripts below. |
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| 29 | |
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| 30 | create_okushiri_truescale.py: |
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| 31 | This script will convert the text files to native |
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| 32 | ANUGA netcdf formats and also create a suitable triangular mesh. |
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| 33 | |
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| 34 | run_okushiri_truescale.py: |
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| 35 | This script will run a numerical simulation based on the the bathymetry |
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| 36 | and the given boundary condition and store the model output in an ANUGA |
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| 37 | sww file which can be viewed using animate, or further interrogated by ANUGA. |
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| 38 | |
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| 39 | compare_timeseries.py |
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| 40 | This script will extract timeseries from the sww file and plot them |
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| 41 | together with the experimental data provided. Numerical similarity |
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| [5720] | 42 | measures will also be computed. |
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| 43 | |
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| 44 | get_timeseries.py |
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| 45 | This script extracts timeseries from the sww file and writes them to individual |
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| 46 | csv files for each gauge location. |
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| 47 | |
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| 48 | export_results.py |
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| 49 | This script extracts a number of variables from the sww file (for eg stage, |
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| 50 | depth, momentum) in three regions at three different but fixed regular grid |
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| 51 | resolutions (at either discrete time indices or maximised over the whole |
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| 52 | simulation). |
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| [5366] | 53 | |
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| 54 | Methodology for true-scale transformation: |
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| 55 | |
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| 56 | Positions (ie bathymetry, polygon definitions, gauge locations) were derived by |
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| 57 | carrying out a scalar multiplication of all x, y, z values in the original files by 400. |
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| 58 | |
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| 59 | Input waveform: Truescale input wave with period T' is assumed to have a wavelength |
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| 60 | and amplitude 400 times the original 1:400 waveform. Given the relationship: |
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| 61 | |
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| 62 | T = wavelength / sqrt (g * h) |
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| 63 | |
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| 64 | Then T' = 400 * wavelength / sqrt (g * 400 * h) |
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| 65 | = 20 * wavelength / sqrt (g * h) |
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| 66 | = 20 * T |
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| 67 | |
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| 68 | Therefore, time (s) is multiplied by 20 and water surface (m) (ie amplitude) is multiplied by 400. |
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| 69 | |
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