#135-hazus-damage-functions-linking-table

.gitignore

@@ -119,4 +119,6 @@ venv.bak/
 
 /examples/data/miami_dade_landuse.gpkg
 cache
-/examples/FIAT_database
+/examples/FIAT_database
+hydromt_fiat/data/damage_functions/flooding/AllDDF_HAZUS_fractions.xlsx
+hydromt_fiat/data/damage_functions/flooding/~$AllDDF_HAZUS_fractions.xlsx

examples/data/hydromt_fiat_catalog_global.yml

@@ -1,7 +1,4 @@
 
-meta:
-  root: C:\Repositories\hydromt_fiat\hydromt_fiat\data
-
 jrc_vulnerability_curves:
     path: damage_functions/flooding/JRC_damage_functions.csv
     data_type: DataFrame

hydromt_fiat/data/hydromt_fiat_catalog_USA.yml

@@ -1,7 +1,4 @@
 
-meta:
-  root: C:\python\hydromt_fiat\hydromt_fiat\data
-
 NSI:
     path: "https://nsi.sec.usace.army.mil/nsiapi/structures?fmt=fc"
     data_type: GeoDataFrame
@@ -11,12 +8,13 @@ NSI:
     meta:
       category: exposure
 
-hazus_vulnerability_curves:
-    path: damage_functions/flooding/AllDDF_HAZUS.xlsx
+default_vulnerability_curves:
+    path: damage_functions/flooding/Hazus_IWR_curves.csv
     data_type: DataFrame
-    driver: xlsx
+    driver: csv
     meta:
       category: vulnerability
+      source: HAZUS SQL database, USACE-IWR and FEMA expert elicitation curves. The source of these curves is the Draft Report Nonresidential Flood Depth-Damage Functions Derived from Expert Elicitation, April 2009, Revised 2013. FEMA Contract Number HSFEHQ-06-D-0162. Task Order HSFEHQ-08-J-0014. Not for distribution, but data shared by USACE.
 
 jrc_vulnerability_curves:
     path: damage_functions/flooding/JRC_damage_functions.xlsx
@@ -39,3 +37,9 @@ social_vulnerability:
     meta:
       category: social_vulnerability
 
+default_hazus_iwr_linking:
+  path: vulnerability_linking/default_hazus_iwr_curve_linking.csv
+  data_type: DataFrame
+  driver: csv
+  meta:
+    category: vulnerability

hydromt_fiat/data/vulnerability_linking/default_hazus_iwr_curve_linking.csv

@@ -0,0 +1,77 @@
+FIAT Damage Function Name,Exposure Link,Damage Type,ID,Occupancy,Description,Source
+AGR1,AGR1,structure,616,AGR1,"Average Agriculture, structure",USACE - Galveston
+COM1,COM1,structure,217,COM1,"Average Retail, Structure",USACE - Galveston
+COM10,COM10,structure,543,COM10,"Garage, structure",USACE - Galveston
+COM2,COM2,structure,341,COM2,"Average wholesale, Structure",USACE - Galveston
+COM3,COM3,structure,32,COM3-S-MostLikely,Average Personal & Repair Services,USACE - IWR
+COM4,COM4,structure,35,COM4-S-MostLikely,Average Prof/Tech Services,USACE - IWR
+COM5,COM5,structure,467,COM5,"Bank, Structure",USACE - Galveston
+COM6,COM6,structure,38,COM6-S-MostLikely,Hospital,USACE - IWR
+COM7,COM7,structure,475,COM7,"Average Medical Office, Structure",USACE - Galveston
+COM8,COM8,structure,493,COM8,"Average Entertainment/Recreation, Structure",USACE - Galveston
+COM9,COM9,structure,532,COM9,"Average theatre, Structure",USACE - Galveston
+EDU1,EDU1,structure,53,EDU1-S-MostLikely,Average school,USACE - IWR
+EDU2,EDU2,structure,652,EDU2,"Average college/university, structure",USACE - Galveston
+GOV1,GOV1,structure,631,GOV1,"Average government services, structure",USACE - Galveston
+GOV2,GOV2,structure,640,GOV2,"Average emergency response, Structure",USACE - Galveston
+IND1,IND1,structure,545,IND1,"Average heavy industrial, Structure",USACE - Galveston
+IND2,IND2,structure,44,IND2-S-MostLikely,Average light industrial,USACE - IWR
+IND3,IND3,structure,575,IND3,"Average Food/Drug/Chem, Structure",USACE - Galveston
+IND4,IND4,structure,586,IND4,"Average Metals/Minerals processing, structure",USACE - Galveston
+IND5,IND5,structure,591,IND5,"Average High Technology, structure",USACE - Galveston
+IND6,IND6,structure,592,IND6,"Average Construction, structure",USACE - Galveston
+REL1,REL1,structure,47,REL1-S-MostLikely,Church,USACE - IWR
+RES1-1SNB,RES1-1SNB,structure,2,RES1-1SNB-S-MostLikely,"Res 1, 1 Story no Basement",USACE - IWR
+RES1-1SWB,RES1-1SWB,structure,5,RES1-1SWB-S-MostLikely,"Res 1, 1 Story w/ Basement",USACE - IWR
+RES1-2SNB,RES1-2SNB,structure,8,RES1-2SNB-S-MostLikely,"Res 1, 2 Story no Basement",USACE - IWR
+RES1-2SWB,RES1-2SWB,structure,11,RES1-2SWB-S-MostLikely,"Res 1, 2 Story w/ Basement",USACE - IWR
+RES1-3SNB,RES1-3SNB,structure,117,RES1,"three or more floors, no basement, Structure, V-Zone",FIA
+RES1-3SWB,RES1-3SWB,structure,127,RES1,"three or more floors, w/ basement, Structure, V-Zone",FIA
+RES2,RES2,structure,20,RES2-S-MostLikely,Mobile home,USACE - IWR
+RES3A,RES3A,structure,23,RES3-S-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3B,RES3B,structure,23,RES3-S-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3C,RES3C,structure,23,RES3-S-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3D,RES3D,structure,23,RES3-S-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3E,RES3E,structure,23,RES3-S-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3F,RES3F,structure,23,RES3-S-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES4,RES4,structure,26,RES4-S-MostLikely,"Average Hotel, & Motel",USACE - IWR
+RES5,RES5,structure,50,RES5-PRO-SVC-S-MostLikely,Nursing Home,USACE - IWR
+RES6,RES6,structure,215,RES6,"Nursing Home, structure",USACE - Galveston
+AGR1,AGR1,content,460,AGR1 ,"Average Agriculture, Contents (Equipment/Inventory)",USACE - Galveston
+COM1,COM1,content,90,COM1 ,Average retail trade contents (Inventory/Equipment),USACE - Galveston
+COM10,COM10,content,357,COM10,"Garage, Contents (Inventory)",USACE - Galveston
+COM2,COM2,content,195,COM2 ,"Average wholesale trade, Contents",USACE - Galveston
+COM3,COM3,content,92,COM3-C-MostLikely,Average Personal & Repair Services,USACE - IWR
+COM4,COM4,content,95,COM4-C-MostLikely,Average Prof/Tech Services,USACE - IWR
+COM5,COM5,content,304,COM5 ,"Bank, Contents",USACE - Galveston
+COM6,COM6,content,98,COM6-C-MostLikely,Hospital,USACE - IWR
+COM7,COM7,content,312,COM7 ,"Average Medical Offic/Clinic, Contents (Equipment/Inventory)",USACE - Galveston
+COM8,COM8,content,322,COM8 ,"Average Entertainment/Recreation, Contents (Equipment/Inventory)",USACE - Galveston
+COM9,COM9,content,352,COM9 ,"Theater, Contents (Equipment)",USACE - Galveston
+EDU1,EDU1,content,113,EDU1-C-MostLikely,Average school,USACE - IWR
+EDU2,EDU2,content,485,EDU2 ,"Average College/University, Contents (Equipment/Inventory)",USACE - Galveston
+GOV1,GOV1,content,472,GOV1 ,"Average Govt Services, contents (Equipment)",USACE - Galveston
+GOV2,GOV2,content,477,GOV2 ,"Average emergency response, contents (Equipment/Inventory)",USACE - Galveston
+IND1,IND1,content,358,IND1 ,"Average Heavy Industrial, Contents (Equipment/Inventory)",USACE - Galveston
+IND2,IND2,content,104,IND2-C-MostLikely,Average light industrial,USACE - IWR
+IND3,IND3,content,408,IND3 ,"Average Food/Drugs/Chemicals, Contents (Equipment/Inventory)",USACE - Galveston
+IND4,IND4,content,433,IND4 ,"Average Metals/Minerals Processing, Contents (Equipment/Inventory)",USACE - Galveston
+IND5,IND5,content,442,IND5 ,"Average High Technology, contents (Equipment/Inventory)",USACE - Galveston
+IND6,IND6,content,443,IND6 ,"Average Construction, contents (Equipment/Inventory)",USACE - Galveston
+REL1,REL1,content,107,REL1-C-MostLikely,Church,USACE - IWR
+RES1-1SNB,RES1-1SNB,content,62,RES1-1SNB-C-MostLikely,"Res 1, 1 Story no Basement",USACE - IWR
+RES1-1SWB,RES1-1SWB,content,65,RES1-1SWB-C-MostLikely,"Res 1, 1 Story w/ Basement",USACE - IWR
+RES1-2SNB,RES1-2SNB,content,68,RES1-2SNB-C-MostLikely,"Res 1, 2 Story no Basement",USACE - IWR
+RES1-2SWB,RES1-2SWB,content,71,RES1-2SWB-C-MostLikely,"Res 1, 2 Story w/ Basement",USACE - IWR
+RES1-3SNB,RES1-3SNB,content,33,RES1 ,"three or more floors, no basement, Contents, V-Zone",FIA (MOD.)
+RES1-3SWB,RES1-3SWB,content,34,RES1 ,"three or more floors, w/ basement, Contents, V-Zone",FIA (MOD.)
+RES2,RES2,content,80,RES2-C-MostLikely,Mobile home,USACE - IWR
+RES3A,RES3A,content,83,RES3-C-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3B,RES3B,content,83,RES3-C-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3C,RES3C,content,83,RES3-C-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3D,RES3D,content,83,RES3-C-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3E,RES3E,content,83,RES3-C-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES3F,RES3F,content,83,RES3-C-MostLikely,"Condominium, living area on multiple floors",USACE - IWR
+RES4,RES4,content,86,RES4-C-MostLikely,"Average Hotel, & Motel",USACE - IWR
+RES5,RES5,content,110,RES5-PRO-SVC-C-MostLikely,Nursing Home,USACE - IWR
+RES6,RES6,content,89,RES6 ,"Nursing Home, contents (Equipment)",USACE - Galveston

hydromt_fiat/workflows/exposure_vector.py

@@ -856,7 +856,7 @@ def link_exposure_vulnerability(
         damage_types: Optional[List[str]] = ["Structure", "Content"],
     ):
         linking_dict = dict(
-            zip(exposure_linking_table["Link"], exposure_linking_table["Name"])
+            zip(exposure_linking_table["Exposure Link"], exposure_linking_table["FIAT Damage Function Name"])
         )
 
         # Find the column to link the exposure data to the vulnerability data

hydromt_fiat/workflows/vulnerability.py

@@ -277,13 +277,13 @@ def get_vulnerability_functions_from_one_file(
         if vulnerability_values.max() > 1:
             vulnerability_values = vulnerability_values / 100
 
-        vf_names = df_identifiers_linking["Name"].values
+        vf_names = df_identifiers_linking["FIAT Damage Function Name"].values
 
         self.add_multiple(vf_names, hazard_values, vulnerability_values)
 
     @staticmethod
     def get_identifier_names(
-        df: pd.DataFrame, to_remove: list = ["Name", "Link", "Damage Type"]
+        df: pd.DataFrame, to_remove: list = ["FIAT Damage Function Name", "Exposure Link", "Damage Type"]
     ) -> list:
         """_summary_
 

tests/test_SVI_exposure.py

@@ -45,8 +45,8 @@
                 "output_vector_name": "spatial.gpkg",
             },
             "setup_vulnerability": {
-                "vulnerability_fn": "hazus_vulnerability_curves",
-                "vulnerability_identifiers_and_linking_fn": ".\\examples\\data\\vulnerability_test_file_input.csv",
+                "vulnerability_fn": "default_vulnerability_curves",
+                "vulnerability_identifiers_and_linking_fn": "default_hazus_iwr_linking",
                 "functions_mean": "default",
                 "functions_max": ["AGR1"],
                 "unit": "feet",

tests/test_integration.py

@@ -44,8 +44,8 @@
                 "output_vector_name": "spatial.gpkg",
             },
             "setup_vulnerability": {
-                "vulnerability_fn": "hazus_vulnerability_curves",
-                "vulnerability_identifiers_and_linking_fn": ".\\examples\\data\\vulnerability_test_file_input.csv",
+                "vulnerability_fn": "default_vulnerability_curves",
+                "vulnerability_identifiers_and_linking_fn": "default_vulnerability_curves",
                 "functions_mean": "default",
                 "functions_max": ["AGR1"],
                 "unit": "feet",
@@ -85,8 +85,8 @@
                 "output_vector_name": "spatial.gpkg",
             },
             "setup_vulnerability": {
-                "vulnerability_fn": "hazus_vulnerability_curves",
-                "vulnerability_identifiers_and_linking_fn": ".\\examples\\data\\vulnerability_test_file_input.csv",
+                "vulnerability_fn": "default_vulnerability_curves",
+                "vulnerability_identifiers_and_linking_fn": "default_vulnerability_curves",
                 "functions_mean": "default",
                 "functions_max": ["AGR1"],
                 "unit": "feet",

tests/test_vulnerability_exposure.py

@@ -44,8 +44,8 @@
                 "output_vector_name": "spatial.gpkg",
             },
             "setup_vulnerability": {
-                "vulnerability_fn": "hazus_vulnerability_curves",
-                "vulnerability_identifiers_and_linking_fn": ".\\examples\\data\\vulnerability_test_file_input.csv",
+                "vulnerability_fn": "default_vulnerability_curves",
+                "vulnerability_identifiers_and_linking_fn": "default_hazus_iwr_linking",
                 "functions_mean": "default",
                 "functions_max": ["AGR1"],
                 "unit": "feet",
@@ -73,8 +73,8 @@
                 "output_vector_name": "spatial.gpkg",
             },
             "setup_vulnerability": {
-                "vulnerability_fn": "hazus_vulnerability_curves",
-                "vulnerability_identifiers_and_linking_fn": ".\\examples\\data\\vulnerability_test_file_input.csv",
+                "vulnerability_fn": "default_vulnerability_curves",
+                "vulnerability_identifiers_and_linking_fn": "default_hazus_iwr_linking",
                 "functions_mean": "default",
                 "functions_max": ["AGR1"],
                 "unit": "feet",

tests/test_vulnerability_exposure_add_to_data_catalog.py

@@ -45,8 +45,8 @@
                 "output_vector_name": "spatial.gpkg",
             },
             "setup_vulnerability": {
-                "vulnerability_fn": "hazus_vulnerability_curves",
-                "vulnerability_identifiers_and_linking_fn": ".\\examples\\data\\vulnerability_test_file_input_miami_landuse.csv",
+                "vulnerability_fn": "default_vulnerability_curves",
+                "vulnerability_identifiers_and_linking_fn": "default_hazus_iwr_linking",
                 "unit": "feet",
             },
             "setup_exposure_vector": {