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Roches Beach coastal hazard probabilistic assessment

Workflow

1. Open anaconda prompt.

Double-click anaconda-prompt.bat
(All further commands should be entered into this prompt)

2. Generate ZSA and ZRFC recession tables.

  > cd lidar  
  > python generate_recession_tables.py

The setback chainages are saved here:

lidar/
├── recession_results_zrfc.csv
└── recession_results_zsa.csv

The profile cross-sections are plotted here:

lidar/
└── png
    ├── P1.png
    ├── P2.png
    └── ...

3. Prepare input files

Update values in adopted-input-values.xlsx
Generate yaml files:

  > cd ../inputs
  > python get_adopted_input_values.py

The yaml files are saved here:

probabilistic-analysis/
├── Roches P1.yaml
├── Roches P2.yaml
└── ...

4. Run probabilistic simulation

  > cd ../probabilistic-analysis
  > python probabilistic_assessment.py

Chainage setbacks are saved in csv files, and diagnostics are saved in csv/png files here:

probabilistic-analysis/
└── output_csv
│   ├── Roches P1 2022 ZRFC.csv
│   ├── Roches P1 2022 ZSA.csv
│   ├── Roches P1 2050 ZRFC.csv
│   └── ...
└── diagnostics
    ├── Roches P1 2022 ZRFC.csv
    ├── Roches P1 2022 ZSA.csv
    ├── Roches P1 ZRFC scatter.png
    ├── Roches P1 ZRFC timeseries.png
    └── ...

5. Generate hazard line shapefile

  > cd ../probabilistic-analysis
  > python shorelines_to_shapefiles.py

Shapefile is saved here:

probabilistic-analysis/
└── output_shp
    ├── hazard-lines.cpg
    ├── hazard-lines.dbf
    ├── hazard-lines.prj
    ├── hazard-lines.shp
    └── hazard-lines.shx

1.9 KiB Raw Blame History