Merge pull request #189 from nismod/feature/buildings-exposure

Buildings exposure, disaggregation of value, activity and trade flows

.gitignore

@@ -11,6 +11,10 @@ build
 data/*
 results/*
 *.bak
+soge-sync
+push
+pull
+SCRATCH
 
 # snakemake
 .snakemake/

config/damage_curves/flood/commercial_asia.csv

@@ -0,0 +1,13 @@
+# Huizinga et al., 2017 European Commission JRC Techical Report
+# https://publications.jrc.ec.europa.eu/repository/handle/JRC105688
+# table 3-6: Average continental damage function for Asia - commerce.
+inundation_depth_(m),damage_fraction
+0,0
+0.5,0.38
+1,0.54
+1.5,0.66
+2,0.76
+3,0.88
+4,0.94
+5,0.98
+6,1

config/damage_curves/flood/industrial_asia.csv

@@ -0,0 +1,13 @@
+# Huizinga et al., 2017 European Commission JRC Techical Report
+# https://publications.jrc.ec.europa.eu/repository/handle/JRC105688
+# table 3-11: Average continental damage function for Asia - industry.
+inundation_depth_(m),damage_fraction
+0,0
+0.5,0.28
+1,0.48
+1.5,0.63
+2,0.72
+3,0.86
+4,0.91
+5,0.96
+6,1

config/damage_curves/flood/powerplants.csv

@@ -0,0 +1,66 @@
+# https://zenodo.org/records/10203846
+# Table_D2_Multi-Hazard_Fragility_and_Vulnerability_Curves_V1.0.0.xlsx
+# Nirandjan 2024, V1.0, F_Vuln_Depth, F1.1, F1.2, F1.3 (identical)
+depth_m,damage_fraction
+0.00,0.000
+0.05,0.004
+0.10,0.008
+0.15,0.012
+0.20,0.016
+0.25,0.021
+0.30,0.025
+0.35,0.029
+0.40,0.033
+0.45,0.037
+0.50,0.041
+0.55,0.045
+0.60,0.049
+0.65,0.053
+0.70,0.057
+0.75,0.062
+0.80,0.066
+0.85,0.070
+0.90,0.074
+0.95,0.078
+1.00,0.082
+1.05,0.086
+1.10,0.090
+1.15,0.094
+1.20,0.098
+1.25,0.103
+1.30,0.107
+1.35,0.111
+1.40,0.115
+1.45,0.119
+1.50,0.123
+1.55,0.127
+1.60,0.131
+1.65,0.135
+1.70,0.139
+1.75,0.144
+1.80,0.148
+1.85,0.152
+1.90,0.156
+1.95,0.160
+2.00,0.164
+2.05,0.168
+2.10,0.172
+2.15,0.176
+2.20,0.180
+2.25,0.185
+2.30,0.189
+2.35,0.193
+2.40,0.197
+2.45,0.201
+2.50,0.205
+2.55,0.209
+2.60,0.213
+2.65,0.217
+2.70,0.243
+2.75,0.251
+2.80,0.259
+2.85,0.268
+2.90,0.276
+2.95,0.284
+3.00,0.292
+3.05,0.300

config/damage_curves/flood/rail_railway.csv

@@ -1,125 +1,125 @@
 # https://zenodo.org/records/10203846
 # Table_D2_Multi-Hazard_Fragility_and_Vulnerability_Curves_V1.0.0.xlsx
-# Nirandjan 2024, V1.0, F_Vuln_Depth, F8.6
-inundation_depth_(m),damage_fraction
-0.00,0.000
-0.05,0.021
-0.10,0.043
-0.15,0.064
-0.20,0.086
-0.25,0.107
-0.30,0.129
-0.35,0.150
-0.40,0.172
-0.45,0.193
-0.50,0.214
-0.55,0.230
-0.60,0.246
-0.65,0.262
-0.70,0.278
-0.75,0.294
-0.80,0.309
-0.85,0.325
-0.90,0.341
-0.95,0.357
-1.00,0.373
-1.05,0.396
-1.10,0.419
-1.15,0.442
-1.20,0.465
-1.25,0.488
-1.30,0.511
-1.35,0.535
-1.40,0.558
-1.45,0.581
-1.50,0.604
-1.55,0.615
-1.60,0.625
-1.65,0.636
-1.70,0.646
-1.75,0.657
-1.80,0.667
-1.85,0.678
-1.90,0.689
-1.95,0.699
-2.00,0.710
-2.05,0.715
-2.10,0.720
-2.15,0.724
-2.20,0.729
-2.25,0.734
-2.30,0.739
-2.35,0.744
-2.40,0.749
-2.45,0.754
-2.50,0.759
-2.55,0.764
-2.60,0.769
-2.65,0.774
-2.70,0.779
-2.75,0.784
-2.80,0.789
-2.85,0.794
-2.90,0.799
-2.95,0.803
-3.00,0.808
-3.05,0.812
-3.10,0.816
-3.15,0.820
-3.20,0.824
-3.25,0.828
-3.30,0.832
-3.35,0.836
-3.40,0.840
-3.45,0.844
-3.50,0.848
-3.55,0.852
-3.60,0.856
-3.65,0.860
-3.70,0.864
-3.75,0.867
-3.80,0.871
-3.85,0.875
-3.90,0.879
-3.95,0.883
-4.00,0.887
-4.05,0.891
-4.10,0.895
-4.15,0.899
-4.20,0.903
-4.25,0.908
-4.30,0.912
-4.35,0.916
-4.40,0.920
-4.45,0.924
-4.50,0.928
-4.55,0.932
-4.60,0.936
-4.65,0.940
-4.70,0.944
-4.75,0.948
-4.80,0.952
-4.85,0.957
-4.90,0.961
-4.95,0.965
-5.00,0.969
-5.05,0.970
-5.10,0.972
-5.15,0.973
-5.20,0.975
-5.25,0.977
-5.30,0.978
-5.35,0.980
-5.40,0.981
-5.45,0.983
-5.50,0.984
-5.55,0.986
-5.60,0.988
-5.65,0.989
-5.70,0.991
-5.75,0.992
-5.80,0.994
-5.85,0.995
-5.90,0.997
-5.95,0.998
-6.00,1.000
+# Nirandjan 2024, V1.0, F_Vuln_Depth, F8.6a,F8.6b
+inundation_depth_(m),damage_fraction,high
+0,0.000,0.000
+0.05,0.015,0.028
+0.1,0.029,0.057
+0.15,0.044,0.085
+0.2,0.058,0.114
+0.25,0.073,0.142
+0.3,0.087,0.170
+0.35,0.102,0.199
+0.4,0.116,0.227
+0.45,0.131,0.255
+0.5,0.145,0.284
+0.55,0.160,0.300
+0.6,0.176,0.316
+0.65,0.191,0.333
+0.7,0.207,0.349
+0.75,0.222,0.365
+0.8,0.237,0.382
+0.85,0.253,0.398
+0.9,0.268,0.414
+0.95,0.283,0.430
+1,0.299,0.447
+1.05,0.309,0.483
+1.1,0.319,0.519
+1.15,0.329,0.556
+1.2,0.339,0.592
+1.25,0.348,0.628
+1.3,0.358,0.665
+1.35,0.368,0.701
+1.4,0.378,0.737
+1.45,0.388,0.773
+1.5,0.398,0.810
+1.55,0.402,0.827
+1.6,0.406,0.844
+1.65,0.410,0.861
+1.7,0.415,0.878
+1.75,0.419,0.895
+1.8,0.423,0.912
+1.85,0.427,0.929
+1.9,0.431,0.946
+1.95,0.435,0.963
+2,0.439,0.980
+2.05,0.447,0.981
+2.1,0.454,0.982
+2.15,0.461,0.983
+2.2,0.469,0.984
+2.25,0.476,0.985
+2.3,0.484,0.986
+2.35,0.491,0.987
+2.4,0.498,0.988
+2.45,0.506,0.989
+2.5,0.513,0.990
+2.55,0.521,0.991
+2.6,0.528,0.992
+2.65,0.535,0.993
+2.7,0.543,0.994
+2.75,0.550,0.995
+2.8,0.558,0.996
+2.85,0.565,0.997
+2.9,0.572,0.998
+2.95,0.580,0.999
+3,0.587,1.000
+3.05,0.595,1.000
+3.1,0.604,1.000
+3.15,0.612,1.000
+3.2,0.620,1.000
+3.25,0.629,1.000
+3.3,0.637,1.000
+3.35,0.645,1.000
+3.4,0.654,1.000
+3.45,0.662,1.000
+3.5,0.670,1.000
+3.55,0.679,1.000
+3.6,0.687,1.000
+3.65,0.695,1.000
+3.7,0.704,1.000
+3.75,0.712,1.000
+3.8,0.720,1.000
+3.85,0.729,1.000
+3.9,0.737,1.000
+3.95,0.745,1.000
+4,0.754,1.000
+4.05,0.761,1.000
+4.1,0.769,1.000
+4.15,0.777,1.000
+4.2,0.784,1.000
+4.25,0.792,1.000
+4.3,0.799,1.000
+4.35,0.807,1.000
+4.4,0.815,1.000
+4.45,0.822,1.000
+4.5,0.830,1.000
+4.55,0.838,1.000
+4.6,0.845,1.000
+4.65,0.853,1.000
+4.7,0.860,1.000
+4.75,0.868,1.000
+4.8,0.876,1.000
+4.85,0.883,1.000
+4.9,0.891,1.000
+4.95,0.899,1.000
+5,0.906,1.000
+5.05,0.911,1.000
+5.1,0.916,1.000
+5.15,0.920,1.000
+5.2,0.925,1.000
+5.25,0.930,1.000
+5.3,0.934,1.000
+5.35,0.939,1.000
+5.4,0.944,1.000
+5.45,0.948,1.000
+5.5,0.953,1.000
+5.55,0.958,1.000
+5.6,0.962,1.000
+5.65,0.967,1.000
+5.7,0.972,1.000
+5.75,0.977,1.000
+5.8,0.981,1.000
+5.85,0.986,1.000
+5.9,0.991,1.000
+5.95,0.995,1.000
+6,1.000,1.000

config/damage_curves/flood/residential_asia.csv

@@ -0,0 +1,13 @@
+# Huizinga et al., 2017 European Commission JRC Techical Report
+# https://publications.jrc.ec.europa.eu/repository/handle/JRC105688
+# table 3-2: average continental damage function for Asia - residential buildings
+inundation_depth_(m),damage_fraction
+0,0
+0.5,0.33
+1,0.49
+1.5,0.62
+2,0.72
+3,0.87
+4,0.93
+5,0.98
+6,1