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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 8, | ||
"id": "f103681d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Cascading hazards experiment\n", | ||
"\n", | ||
"\n", | ||
"class Hazard():\n", | ||
" \n", | ||
" def __init__(self, wf=0.0):\n", | ||
" self.weighting_factor = wf\n", | ||
" \n", | ||
" def set_weighting_factor(self, wt):\n", | ||
" self.weighting_factor = wt\n", | ||
"\n", | ||
"\n", | ||
"class EarthquakeHazard(Hazard):\n", | ||
" pass\n", | ||
" \n", | ||
"class LandslideHazard(Hazard):\n", | ||
" pass\n", | ||
"\n", | ||
"class FloodHazard(Hazard):\n", | ||
" pass\n", | ||
"\n", | ||
"\n", | ||
"class CascadingHazard(Hazard):\n", | ||
" def __init__(self, hazard1, hazard2):\n", | ||
" self.hazard1 = hazard1 #v1\n", | ||
" self.hazard2 = hazard2 #v2\n", | ||
" #self.hazard3 = 0.2\n", | ||
" \n", | ||
" self.cascaded_haz_name = \"Unset\"\n", | ||
" \n", | ||
" self.weighting_factor = self.combine_hazard()\n", | ||
" \n", | ||
" \n", | ||
" \n", | ||
" # For 2 hazards, use v1 + (1 - v1) *v2 (or use full formula, but set v3=0)\n", | ||
" \n", | ||
" # For 3 hazards, v1 + (1 - v1)*v2 + (1 - v1 - (1 - v1)*v2)*v3\n", | ||
" \n", | ||
" def combine_hazard(self):\n", | ||
" cwf = self.hazard1.weighting_factor + (1 - self.hazard1.weighting_factor) * \\\n", | ||
" self.hazard2.weighting_factor + (1 - self.hazard1.weighting_factor - (1 - self.hazard1.weighting_factor) * \\\n", | ||
" self.hazard2.weighting_factor) * 0.0 #v3\n", | ||
" \n", | ||
" return cwf\n", | ||
"\n", | ||
"\n", | ||
"eq = EarthquakeHazard(wf=1)\n", | ||
"\n", | ||
"flood = FloodHazard(wf=0)\n", | ||
"\n", | ||
"eq_flood_casc = CascadingHazard(eq, flood)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 9, | ||
"id": "8f797167", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"1\n", | ||
"0\n" | ||
] | ||
}, | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"1.0" | ||
] | ||
}, | ||
"execution_count": 9, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"\n", | ||
"print(eq.weighting_factor)\n", | ||
"print(flood.weighting_factor)\n", | ||
"\n", | ||
"eq_flood_casc.weighting_factor\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "8e9f9e23", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.8.12" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |