πŸ“˜ Example: Database Builder with Python

In this notebook, we demonstrate how to use the Database builder API of FloodAdapt to build a FloodAdapt database in a new location! For this, we will use an example area in Charleston, South Carolina, for which we have already generated a SFINCS and a Delft-FIAT model.

In order to use the DatabaseBuilder of FloodAdapt a set of configuration parameters are needed. The configuration parameters can be divided to mandatory and optional ones. Using only the mandatory parameters (i.e., baseline FloodAdapt configuration) will result in a simple but functional version of FloodAdapt. By adding optional parameters to your configuration, you can create a more advanced FloodAdapt database with additional features. If you want to learn more about the configuration parameters, please refer to the Database-Builder of the Setup Guide in the documentation.

The configuration can be either created through available FloodAdapt classes or can be parsed as a simple dictionary. We advice you to work with the FloodAdapt classes, since this can avoid using wrong parameter names or values with the help of type hinting.

Import libraries

# Import packages
import pandas as pd
import geopandas as gpd
from pathlib import Path
from hydromt_fiat.fiat import FiatModel
from hydromt_sfincs.sfincs import SfincsModel
from flood_adapt import FloodAdapt, Settings
from flood_adapt import unit_system as us
from flood_adapt import database_builder as db
from flood_adapt.objects.forcing import TideGaugeSource
from flood_adapt.config.hazard import ObsPointModel, SlrScenariosModel, FloodModel
%matplotlib inline

The study area is in Charleston, South Carolina, a coastal city on the East Coast of the United States. To run this notebook, we have already prepared a SFINCS model and a Delft-FIAT model for this area. Both these models are meant for demonstration purposes only.

In this notebook we will go through all the mandatory and optional configuration parameters to create a database.

Mandatory configuration parameters

πŸ’Ύ Database save path

First, we need to define the path where the database will be saved. This is done by defining the database_path attribute.

# Define the static data folder
STATIC_DATA_DIR = Path("../../../_data/examples/static-data/1_DatabaseBuilder").resolve()

# Where the database will be stored
database_path = (STATIC_DATA_DIR / "Database").as_posix()

🌐 Overland SFINCS model

One of the mandatory inputs for a FloodAdapt database is an overland SFINCS model. Let’s first inspect the extents of our overland SFINCS model, by loading the model with the HydroMT-SFINCS plugin.

# Get the path of the SFINCS overland model
fn_sfincs = STATIC_DATA_DIR  / "overland"
# Use HydroMT-SFINCS to read the SFINCS model
sfincs = SfincsModel(root=str(fn_sfincs), mode="r")
sfincs.read()
# Get the extent of the SFINCS model
gdf = sfincs.region[["geometry"]]
gdf["name"] = "SFINCS Model Extent"
# Make a map of the SFINCS model extent
gdf.explore(
    style_kwds={"fillColor": "blue", "color": "black", "weight": 1, "fillOpacity": 0.2},
    tiles="CartoDB positron",
    column="name",
    legend=True,
    legend_kwds={"caption": "Region"}
)
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The SFINCS model is specified using the sfincs_overland attribute, which is a FloodModel class that includes the path to the SFINCS model, defined by the attribute name and the vertical reference that the model has, defined by reference. The SFINCS model was build with elevation data in the NAVD88 vertical reference system, so we set the reference to NAVD88.

# Define the overland SFINCS model path and vertical reference
sfincs_overland = FloodModel(
    name=(STATIC_DATA_DIR / "overland").as_posix(),
    reference="NAVD88" 
)

🏠 Delft-FIAT model

Another mandatory input is the Delft-FIAT model. We can inspect the exposure objects (buildings and roads) of the Delft-FIAT model, by loading the model with the HydroMT-FIAT plugin.

# Get the path of the FIAT model
fn_fiat = STATIC_DATA_DIR  / "fiat"
# Read the FIAT model using HydroMT-FIAT
fiat = FiatModel(root=str(fn_fiat), mode="r")
fiat.read()
# Get the geodataframe with exposure data
gdf = fiat.exposure.get_full_gdf(fiat.exposure.exposure_db)
# Plot the region and the secondary_object_types of the exposure data
gdf.explore(
    column="primary_object_type", 
    name="Exposure types",
    tiles="CartoDB positron"
)
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The Delft-FIAT model is simply specified using the fiat attribute, which points to the path of the Delft-FIAT model.

# Define the FIAT model path
fiat = (STATIC_DATA_DIR / "fiat").as_posix()

πŸ“ Define the unit system

Then, a unit_system needs to be specified, which can be either metric or imperial. The unit_system will determine the default units used in the database. Since for our example we are in U.S., we will use the imperial unit system.

# Define the unit system for the database
unit_system = db.UnitSystems.imperial

πŸ—ΊοΈ GUI map color scaling

For the output visualizations, scaling values need to be specified for each output type, using the gui attribute. These values will be used to scale the colors of the map visualizations in the GUI. There are four types of outputs that can be visualized in the GUI: flood_depth, aggregated damages, footprint damages, and benefits. For each of these outputs, we can specify the maximum values for the color scaling using the max_flood_depth, max_aggr_dmg, max_footprint_dmg, and max_benefits attributes, respectively.

# Define the max values for each type of layer in the GUI
gui = db.GuiConfigModel(
    max_flood_depth=5,
    max_aggr_dmg=1e6,
    max_footprint_dmg=250000,
    max_benefits=5e6,
)

Additional configuration parameters

🎲 Probabilistic event set and risk calculations

We can add a probabilistic event set by providing the path to an existing event set with the attribute probabilistic_set. This will enable us to run risk and benefit scenarios in FloodAdapt (see Risk and benefit analysis).

In case we provide a probabilistic event set to enable risk calculations, we can also specify the return periods that will be calculated from the event set in FloodAdapt during risk scenario runs. The default values are [1, 2, 5, 10, 25, 50, 100] years, but you can specify any other set of values with the return_periods attribute.

 # Path to the prepared probabilistic set
probabilistic_set = str(STATIC_DATA_DIR  / "test_set")
# Here we just use the standard return periods
return_periods = [1, 2, 5, 10, 25, 50, 100]

πŸŒ€ SFINCS offshore model

If we have a SFINCS offshore model we can also pass this into the configuration with the sfincs_offshore attribute in the same way as the overland SFINCS model. This will allow us to run extra types of events (see Simulating hurricane events and β€˜ungauged’ historical events). Let’s first visualize the SFINCS offshore model to see its extent.

# Use HydroMT-SFINCS to read the SFINCS model
off_sfincs_path = (STATIC_DATA_DIR / "offshore").as_posix()
sfincs = SfincsModel(root=off_sfincs_path, mode="r")
sfincs.read()
# Get the extent of the SFINCS model
gdf = sfincs.region[["geometry"]]
gdf["name"] = "offshore SFINCS Model Extent"
# Make a map of the SFINCS model extent
gdf.explore(
    style_kwds={"fillColor": "blue", "color": "black", "weight": 1, "fillOpacity": 0.2},
    tiles="CartoDB positron",
    column="name",
    legend=True,
    legend_kwds={"caption": "Region"}
)
bzsfile not found at D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\offshore\sfincs.bzs
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Similarly, to the onshore SFINCS model, we can use a FloodModel class to define the path with the attribute name and its vertical reference with the attribute reference (which for an offshore models is typically β€˜MSL’). In case a correction is needed to bring MSL to present day conditions (see Sea level offset for offshore simulations), the vertical_offset attribute can be used to specify the correction.

# Add the SFINCS offshore model
sfincs_offshore = FloodModel(
    name=off_sfincs_path,
    reference="MSL",
    vertical_offset=us.UnitfulLength(
        value=0.33, units=us.UnitTypesLength.feet # in this case we found from observations that there is an offset of 0.33 feet
    )
)

πŸŒͺ️ Historical hurricanes

If we have an offshore SFINCS model, we can run historical hurricanes as well if we are in a hurricane prone area. The configuration for running hurricanes or not, is set with the cyclones attribute, which in case we are in an area were hurricanes are not relevant we could turn to False. If this is set to True (which is the default value), the cyclone_basin attribute can be used to define the oceanic basin. The Basins class can be used to check the available basins. In the case of Charleston we are going to use NA - for North Atlantic. If this is not specified, all global basins will be downloaded.

# Add cyclone tracks
cyclones = True
cyclone_basin = db.Basins.NA

πŸ•’ Tide gauge data

If there are water level observations from a close by tide gauge we can add them in the database, so they can directly be used during event creation (see Downloading historical water levels), by using the tide_gauge attribute.

With the source attribute assigned to file, and the use of the file attribute to define the path to a csv file with the tide gauge data, we can directly use the tide gauge data in the database. The vertical reference of the tide gauge data can be defined by the ref attribute. The CSV file should have two columns; the first contains a β€˜datetime’ in the format DD/MM/YYYY HH:MM and the second column contains the water levels relative to the vertical reference defined.

In U.S., instead of manually providing a file, we can choose db.TideGaugeSource.noaa_coops as the source attribute, to find the closest tide gauge from the NOOAA COOPS tide gauge network. To avoid using a stations that is really far away, we can also specify a max_distance attribute, which will be used to filter the stations. If no station is found within the specified distance, the tide gauge data will not be added to the database. A set of water level references from this station will be added to the database as well. These include β€œMLLW”, β€œMHHW”, β€œNAVD88”, β€œMSL”. The default reference of the observation is MLLW, which can be changed with the ref attribute.

In our case we will use the NOAA COOPS tide gauge data with a limit of 100 miles and we will keep the default reference of MLLW.

# Add tide gauge
tide_gauge = db.TideGaugeConfigModel(
    source=TideGaugeSource.noaa_coops,
    max_distance=us.UnitfulLength(
        value=100, units=us.UnitTypesLength.miles
    ),
)

πŸ“ Observation points

By using the attribute obs_points we can add a list of observation points for which we will extract timeseries of water levels as an output of our event scenarios. We can add a list of ObsPointModel objects. Each of these objects must have a name and a lat and lon attribute. The description is optional.

Keep in mind that if a tide gauge station is added to the database, it will be automatically added as an observation point as well if it falls within the overland SFINCS domain.

# Add observation points
obs_point = [
    ObsPointModel(
        name="Ashley_river",
        description="Ashley River - James Island Expy",
        lat=32.7765,
        lon=-79.9543,
    ),
]

πŸ“ˆ Sea Level Rise (SLR) scenarios

We can add sea level rise scenarios to be used in the projections of FloodAdapt, by using the slr_scenarios attribute, which should be a SlrScenariosModel object, with a file attribute pointing to a csv file with the columns: year, unit, scenario_1, scenario_2, …, scenario_n, and a relative_to_year attribute, which indicate the year relative to which these scenarios should be translated, when used in FloodAdapt.

Here we have created a slr scenario csv file like this already. Let’s have a quick look in what the csv file looks like.

slr_csv = (STATIC_DATA_DIR  / "slr.csv").as_posix()
pd.read_csv(slr_csv)
year units NOAA Low NOAA Intermediate-Low NOAA Intermediate NOAA Intermediate-High NOAA High NOAA Extreme
0 2000 feet 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
1 2010 feet 0.131234 0.164042 0.262467 0.328084 0.393701 0.393701
2 2020 feet 0.328084 0.393701 0.524934 0.688976 0.787402 0.853018
3 2030 feet 0.492126 0.590551 0.820210 1.115486 1.312336 1.476378
4 2040 feet 0.656168 0.787402 1.148294 1.541995 1.935696 2.198163
5 2050 feet 0.820210 0.984252 1.509186 2.099738 2.690289 3.182415
6 2060 feet 1.017060 1.213911 1.935696 2.755906 3.674541 4.363517
7 2070 feet 1.148294 1.410761 2.395013 3.510499 4.724409 5.675853
8 2080 feet 1.279528 1.607612 2.887139 4.330709 5.905512 7.119423
9 2090 feet 1.410761 1.771654 3.412073 5.249344 7.283465 8.792651
10 2100 feet 1.541995 1.968504 4.002625 6.332021 8.825459 10.793963
11 2120 feet 1.738845 2.329396 4.658793 7.578740 11.646982 14.730971
12 2150 feet 2.034121 2.854331 6.430446 11.154856 17.519685 22.375328
13 2200 feet 2.427822 3.772966 9.580053 18.077428 29.265092 37.401575 
# Add SLR scenarios
slr_scenarios = SlrScenariosModel(
    file=slr_csv,
    relative_to_year=2020,
)

πŸ§β€β™‚οΈπŸ§β€β™€οΈ Social Vulnerability Index (SVI)

A social vulnerability (SVI) layer can be added to the database for extra infographics related to who is impacted. This can be done with the svi attribute which is a db.SviConfigModel object. The path to a geospatial file with the SVI layer is provided with the file attribute, the field_name attribute defines the column name within the spatial file with the SVI value and the threshold defines the threshold value for the SVI, which distinguishes between vulnerable and non-vulnerable areas.

In our case we have already clipped an SVI layer (from https://www.atsdr.cdc.gov/place-health/php/svi/svi-data-documentation-download.html) to the Charleston area, so we can use it directly. Let’s have a quick look in what the SVI layer looks like.

svi_path = (STATIC_DATA_DIR / "svi.gpkg").as_posix()
svi_layer = gpd.read_file(svi_path)
# Make a map of the SVI layer
svi_layer.explore(
    column="SVI",
    name="Social Vulnerability Index (SVI)",
    tiles="CartoDB positron",
    cmap="RdBu_r",
    scheme=None,
    style_kwds={"color": "black", "weight": 0.5, "fillOpacity": 0.7},
    legend=True,
    legend_kwds={"caption": "SVI (0.5=center)"},
    categorical=False,
    center=0.5
)
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Now, let’s create the SVI configuration object, using the SviConfigModel class.

# Add social vulnerability index
svi = db.SviConfigModel(
    file=svi_path,
    field_name="SVI",
    threshold=0.5,
)

🌊 Base Flood Elevation (BFE)

A base flood elevation (BFE) can be added to the database which allows users to elevate homes relative to this layer. This can be done with the bfe attribute which is a db.SpatialJoinModel object. The path to the geospatial vector file with the BFE layer is provided with the file attribute, the field_name attribute defines the column name within the spatial file with the BFE value.

In our case we have already created some dummy data, so we can use it directly. Let’s have a quick look in what the BFE layer looks like.

bfe_path = (STATIC_DATA_DIR / "bfe.gpkg").as_posix()
bfe_layer = gpd.read_file(bfe_path)
# Make a map of the BFE layer
bfe_layer_valid = bfe_layer[bfe_layer["STATIC_BFE"] != -9999]
bfe_layer_valid.explore(
    column="STATIC_BFE",
    name="Base Flood Elevation (BFE) - feet",
    tiles="CartoDB positron",
    cmap="Blues",
    scheme=None,
    style_kwds={"color": "black", "weight": 0.5, "fillOpacity": 0.7},
    legend=True,
    categorical=False,
)
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Let’s create the BFE configuration object, using the SpatialJoinModel class.

# Add base flood elevation
bfe = db.SpatialJoinModel(
    file=bfe_path,
    name="bfe",
    field_name="STATIC_BFE",
)

πŸ”² Aggregation areas

A list of different types of aggregation levels that can be included in the metrics aggregation can be defined by the aggregation_areas attribute. Each entry in the list can be defined by the SpatialJoinModel class, which has a name attribute to specify the shown name, a file attribute to specify the location of the geospatial vector file. The name is used to identify the aggregation area in the database, while the file is the path to a geospatial vector file with the aggregation area polygons and a field_name attribute to specify the column name within the spatial file with the aggregation area names.

Keep in mind that the aggregation areas specified in the database builder configuration are additional to any aggregation areas already defined in the Delft-FIAT model.

aggr_path = (STATIC_DATA_DIR / "subdivision.gpkg").as_posix()
# Here we can visualize in a map one of the aggragetion levels
aggr = gpd.read_file(aggr_path)
# Make a map of the aggregation level 1 layer
aggr.explore(
    column="SUDIV_UNIQUE",
    name="Aggregation Level: Subdivision",
    tiles="CartoDB positron",
    style_kwds={"color": "black", "weight": 0.5, "fillOpacity": 0.7},
    legend=True,
    legend_kwds={"caption": "Aggregation Level 1"},
)
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We can now add the aggregation level to the configuration, using the SpatialJoinModel class.

# Add aggregation areas
aggregation_areas = [
    db.SpatialJoinModel(
        name="Subdivision",
        file=aggr_path,
        field_name="SUDIV_UNIQUE",
    )
]

πŸ˜οΈπŸ›£οΈ Exposure Objects types

The location of the exposure objects (buildings and roads) in Delft-FIAT is defined by different geospatial vector files. By default, the name of the buildings file is set to buildings and the roads file is set to roads. If this is not the case these values can be changed using the fiat_buildings_name and fiat_roads_name attributes, respectively.

FloodAdapt works with roads as polygons, so if the roads file is in line format, we can use the road_width attribute to define the width of the road. This will be used to create a polygon representation of the roads in the database. By default this is set to 5.0 meters, but it can be changed to any other value.

# In our case we keep the default values for the exposure options
fiat_buildings_name = "buildings"
fiat_roads_name = "roads"
road_width = us.UnitfulLength(value=5, units=us.UnitTypesLength.meters)

🏒 Building Footprints

Buildings in FIAT exposure can be represent as points. Then we want to aggregate these to building footprints, which are polygons. This can be done by using the building_footprints attribute, which is a db.SpatialJoinModel object. The file attribute defines the path to the geospatial vector file with the building footprints and the field_name attribute defines the column name within the spatial file with the building footprint names. If we don’t provide a building footprints file, the building footprints will be downloaded from the OpenStreetMap (OSM) database.

# Visualize building footprints in a single color
building_fp_path = (STATIC_DATA_DIR / "FEMA_building_footprints.gpkg").as_posix()
building_fp_gdf = gpd.read_file(building_fp_path)
building_fp_gdf.explore(
    name="Building Footprints",
    tiles="CartoDB positron",
    style_kwds={"color": "black", "weight": 0.5, "fillColor": "#3182bd", "fillOpacity": 0.7},
    legend=False
)
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We can now define the building footprints configuration object, using the SpatialJoinModel class.

building_footprints = db.SpatialJoinModel(
    file=building_fp_path,
    field_name="BUILD_ID", # unique identifier for the building footprints
)

Create the database configurations

Now, that we created all the individual objects we can compile them in a ConfigModel object. As mentioned using only the mandatory attributes we can already build a functional FloodAdapt database. However, we can also add the optional attributes to create a more advanced FloodAdapt database. Here we are going to create two configurations, one with only the mandatory attributes and one with all the optional attributes as well.

A mandatory attribute is the name of the database, which will be the unique identifier of the database. The database_path attribute defines the path where these database will be saved.

# Compile ConfigModel with only the mandatory attributes
config_model_basic = db.ConfigModel(
    name = "charleston_example_basic",
    database_path=database_path,
    unit_system=unit_system,  
    gui=gui, 
    sfincs_overland=sfincs_overland,
    fiat=fiat, 
)
# Compile ConfigModel with all the optional attributes
config_model_advanced = db.ConfigModel(
    name = "charleston_example_advanced",
    database_path=database_path,
    unit_system=unit_system,  
    gui=gui, 
    sfincs_overland=sfincs_overland,
    fiat=fiat, 
    probabilistic_set=probabilistic_set,
    return_periods=return_periods,
    sfincs_offshore=sfincs_offshore,
    slr_scenarios=slr_scenarios,
    tide_gauge=tide_gauge,
    cyclones=cyclones,
    cyclone_basin=cyclone_basin,
    obs_point=obs_point,
    aggregation_areas=aggregation_areas,
    building_footprints=building_footprints,
    fiat_buildings_name=fiat_buildings_name,
    fiat_roads_name=fiat_roads_name,
    bfe=bfe,
    svi=svi,
    road_width=road_width,
)

Run the Database Builder

We are now ready to run the Database Builder with the configurations that we just created above. When running the database builder, all the steps and inputs that are used are logged and printed to the console. Moreover, a log file is saved in the database path.

Let’s first create the basic database.

db.create_database(config=config_model_basic)
2025-07-17 02:57:23 PM - FloodAdapt.DatabaseBuilder - INFO - Creating a FloodAdapt database in 'D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_basic'
2025-07-17 02:57:23 PM - FloodAdapt.DatabaseBuilder - INFO - Preparing the database folder structure.
Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\fiat\exposure.
Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\fiat\vulnerability.
Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_basic\static\templates\fiat\exposure.
Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_basic\static\templates\fiat\vulnerability.
2025-07-17 02:57:37 PM - FloodAdapt.DatabaseBuilder - WARNING - No water level references provided in the config file. Using reference provided for overland SFINCS model 'NAVD88' as the main reference.
2025-07-17 02:57:37 PM - FloodAdapt.DatabaseBuilder - WARNING - Tide gauge information not provided. Historical events will not have an option to use gauged data in FloodAdapt!
2025-07-17 02:57:37 PM - FloodAdapt.DatabaseBuilder - WARNING - No subgrid depth geotiff file provided in the config file. Using the one from the SFINCS model.
Dataset [556241.0, 3595063.0, 646041.0, 3696463.0] does not fully cover bbox [555664.786, 3594156.839, 647552.240, 3697401.487]
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - INFO - Tiles were created using the D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_basic/static/templates/overland/subgrid/dep_subgrid.tif as the elevation map.
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - WARNING - No cyclones will be available in the database.
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - WARNING - No river discharge conditions were found in the SFINCS model for river 0. A default value of 0 will be used.
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - INFO - 1 river(s) were identified from the SFINCS model and will be available in FloodAdapt for discharge input.
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - WARNING - No observation points were provided in the config file or created from the tide gauge. No observation points will be available in FloodAdapt.
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - WARNING - Probabilistic event set not provided. Risk scenarios cannot be run in FloodAdapt.
2025-07-17 02:59:06 PM - FloodAdapt.DatabaseBuilder - INFO - Building footprint data will be downloaded from Open Street Maps.
2025-07-17 02:59:16 PM - FloodAdapt.DatabaseBuilder - INFO - Building footprints saved at D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_basic/static/templates/fiat/exposure/building_footprints/building_footprints.gpkg
INFO:FloodAdapt.DatabaseBuilder:Building footprints saved at D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_basic/static/templates/fiat/exposure/building_footprints/building_footprints.gpkg
2025-07-17 02:59:16 PM - FloodAdapt.DatabaseBuilder - INFO - Aggregation areas: Census Blockgroup from the FIAT model are going to be used.
INFO:FloodAdapt.DatabaseBuilder:Aggregation areas: Census Blockgroup from the FIAT model are going to be used.
2025-07-17 02:59:16 PM - FloodAdapt.DatabaseBuilder - INFO - FIAT road objects transformed from lines to polygons assuming a road width of 5.0 meters meters.
INFO:FloodAdapt.DatabaseBuilder:FIAT road objects transformed from lines to polygons assuming a road width of 5.0 meters meters.
2025-07-17 02:59:16 PM - FloodAdapt.DatabaseBuilder - INFO - Updating FIAT objects ground elevations from SFINCS ground elevation map.
INFO:FloodAdapt.DatabaseBuilder:Updating FIAT objects ground elevations from SFINCS ground elevation map.
2025-07-17 02:59:16 PM - FloodAdapt.DatabaseBuilder - INFO - Ground elevation for FIAT objects is in 'UnitTypesLength.feet', while SFINCS ground elevation is in 'meters'. Values in the exposure csv will be converted by a factor of 3.28084
INFO:FloodAdapt.DatabaseBuilder:Ground elevation for FIAT objects is in 'UnitTypesLength.feet', while SFINCS ground elevation is in 'meters'. Values in the exposure csv will be converted by a factor of 3.28084
2025-07-17 02:59:17 PM - FloodAdapt.DatabaseBuilder - WARNING - 'SVI' column not present in the FIAT exposure csv. Vulnerability type infometrics cannot be produced.
WARNING:FloodAdapt.DatabaseBuilder:'SVI' column not present in the FIAT exposure csv. Vulnerability type infometrics cannot be produced.
2025-07-17 02:59:17 PM - FloodAdapt.DatabaseBuilder - WARNING - No base flood elevation provided. Elevating building relative to base flood elevation will not be possible in FloodAdapt.
WARNING:FloodAdapt.DatabaseBuilder:No base flood elevation provided. Elevating building relative to base flood elevation will not be possible in FloodAdapt.
WARNING:hydromt_fiat.fiat:Replacing geom: region
2025-07-17 02:59:21 PM - FloodAdapt.DatabaseBuilder - WARNING - No probabilistic set found in the config, benefits will not be available.
WARNING:FloodAdapt.DatabaseBuilder:No probabilistic set found in the config, benefits will not be available.
2025-07-17 02:59:21 PM - FloodAdapt.DatabaseBuilder - WARNING - No return periods provided and no probabilistic set available. Risk calculations will not be performed.
WARNING:FloodAdapt.DatabaseBuilder:No return periods provided and no probabilistic set available. Risk calculations will not be performed.
2025-07-17 02:59:21 PM - FloodAdapt.DatabaseBuilder - WARNING - The default tidal amplitude in the GUI will be 0.0, since no tide-gauge water levels are available. You can change this in the site.toml with the 'gui.tide_harmonic_amplitude' attribute.
WARNING:FloodAdapt.DatabaseBuilder:The default tidal amplitude in the GUI will be 0.0, since no tide-gauge water levels are available. You can change this in the site.toml with the 'gui.tide_harmonic_amplitude' attribute.
2025-07-17 02:59:21 PM - FloodAdapt.DatabaseBuilder - WARNING - The Mean Sea Level (MSL) datum is not available in the site.toml. The synthetic tide will be created relative to the main reference: NAVD88.
WARNING:FloodAdapt.DatabaseBuilder:The Mean Sea Level (MSL) datum is not available in the site.toml. The synthetic tide will be created relative to the main reference: NAVD88.
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\flood_adapt\database_builder\database_builder.py:1707: UserWarning:

Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.


2025-07-17 02:59:22 PM - FloodAdapt.DatabaseBuilder - INFO - Default NSI infometrics and infographics will be created.
INFO:FloodAdapt.DatabaseBuilder:Default NSI infometrics and infographics will be created.
2025-07-17 02:59:22 PM - FloodAdapt.DatabaseBuilder - INFO - Creating `no measures` strategy and `current` projection.
INFO:FloodAdapt.DatabaseBuilder:Creating `no measures` strategy and `current` projection.
2025-07-17 02:59:22 PM - FloodAdapt.Database - INFO - Initializing database to charleston_example_basic at d:\a\floodadapt\floodadapt\docs\_data\examples\static-data\1_databasebuilder\database
INFO:FloodAdapt.Database:Initializing database to charleston_example_basic at d:\a\floodadapt\floodadapt\docs\_data\examples\static-data\1_databasebuilder\database
2025-07-17 02:59:22 PM - FloodAdapt.DatabaseBuilder - INFO - FloodAdapt database creation finished!
INFO:FloodAdapt.DatabaseBuilder:FloodAdapt database creation finished!

Now, we can create the advanced database with all the optional attributes.

db.create_database(config=config_model_advanced)
2025-07-17 02:59:22 PM - FloodAdapt.DatabaseBuilder - INFO - Creating a FloodAdapt database in 'D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_advanced'
INFO:FloodAdapt.DatabaseBuilder:Creating a FloodAdapt database in 'D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_advanced'
2025-07-17 02:59:22 PM - FloodAdapt.DatabaseBuilder - INFO - Preparing the database folder structure.
INFO:FloodAdapt.DatabaseBuilder:Preparing the database folder structure.
WARNING:hydromt_fiat.fiat:Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\fiat\exposure.
WARNING:hydromt_fiat.fiat:Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\fiat\vulnerability.
WARNING:hydromt_fiat.fiat:Replacing geom: region
WARNING:hydromt_fiat.fiat:Replacing geom: aggregation_areas/block_groups
WARNING:hydromt_fiat.fiat:Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\fiat\exposure.
WARNING:hydromt_fiat.fiat:Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\fiat\vulnerability.
WARNING:hydromt_fiat.fiat:Replacing geom: region
WARNING:hydromt_fiat.fiat:Replacing geom: aggregation_areas/block_groups
WARNING:hydromt_sfincs.sfincs:depfile not found at D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\overland\sfincs.dep
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\sfincs.py:2981: FutureWarning:

UgridDataArray.from_structured is deprecated and will be removed. Use UgridDataArray.from_structured2d instead.

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\pyogrio\raw.py:198: RuntimeWarning:

driver GeoJSON does not support open option MODE

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

WARNING:hydromt_sfincs.sfincs:Index in bndfile does not match D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\overland\gis\bnd.geojson
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

WARNING:hydromt_sfincs.sfincs:Index in bndfile does not match D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\overland\gis\bnd.geojson
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

WARNING:hydromt_sfincs.sfincs:Model dir already exists and files might be overwritten: D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\overland\gis.
WARNING:hydromt_sfincs.sfincs:depfile not found at D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\overland\sfincs.dep
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\sfincs.py:2981: FutureWarning:

UgridDataArray.from_structured is deprecated and will be removed. Use UgridDataArray.from_structured2d instead.

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\pyogrio\raw.py:198: RuntimeWarning:

driver GeoJSON does not support open option MODE

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

WARNING:hydromt_sfincs.sfincs:Index in bndfile does not match D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\overland\gis\bnd.geojson
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

WARNING:hydromt_sfincs.sfincs:Index in bndfile does not match D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\overland\gis\bnd.geojson
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\sfincs.py:2981: FutureWarning:

UgridDataArray.from_structured is deprecated and will be removed. Use UgridDataArray.from_structured2d instead.

WARNING:hydromt_sfincs.sfincs:bzsfile not found at D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\offshore\sfincs.bzs
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\sfincs.py:2981: FutureWarning:

UgridDataArray.from_structured is deprecated and will be removed. Use UgridDataArray.from_structured2d instead.

WARNING:hydromt_sfincs.sfincs:bzsfile not found at D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\Database\charleston_example_advanced\static\templates\offshore\sfincs.bzs
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt\io.py:714: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

2025-07-17 02:59:37 PM - FloodAdapt.DatabaseBuilder - INFO - Output points of the offshore SFINCS model were reconfigured to the boundary points of the overland SFINCS model.
INFO:FloodAdapt.DatabaseBuilder:Output points of the offshore SFINCS model were reconfigured to the boundary points of the overland SFINCS model.
2025-07-17 02:59:37 PM - FloodAdapt.DatabaseBuilder - WARNING - No water level references provided in the config file. Using reference provided for overland SFINCS model 'NAVD88' as the main reference.
WARNING:FloodAdapt.DatabaseBuilder:No water level references provided in the config file. Using reference provided for overland SFINCS model 'NAVD88' as the main reference.
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\flood_adapt\database_builder\database_builder.py:2277: UserWarning:

Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.


D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\pyproj\transformer.py:817: DeprecationWarning:

Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)

2025-07-17 02:59:37 PM - FloodAdapt.DatabaseBuilder - INFO - The closest tide gauge from TideGaugeSource.noaa_coops is located 0.0 feet from the SFINCS domain
INFO:FloodAdapt.DatabaseBuilder:The closest tide gauge from TideGaugeSource.noaa_coops is located 0.0 feet from the SFINCS domain
2025-07-17 02:59:37 PM - FloodAdapt.DatabaseBuilder - INFO - The closest NOAA tide gauge station to the site will be searched.
INFO:FloodAdapt.DatabaseBuilder:The closest NOAA tide gauge station to the site will be searched.
2025-07-17 02:59:38 PM - FloodAdapt.DatabaseBuilder - INFO - The tide gauge station 'Charleston' from TideGaugeSource.noaa_coops will be used to download nearshore historical water level time-series.
INFO:FloodAdapt.DatabaseBuilder:The tide gauge station 'Charleston' from TideGaugeSource.noaa_coops will be used to download nearshore historical water level time-series.
2025-07-17 02:59:38 PM - FloodAdapt.DatabaseBuilder - INFO - The station metadata will be used to fill in the water_level attribute in the site.toml. The reference level will be 'MLLW'.
INFO:FloodAdapt.DatabaseBuilder:The station metadata will be used to fill in the water_level attribute in the site.toml. The reference level will be 'MLLW'.
2025-07-17 02:59:38 PM - FloodAdapt.DatabaseBuilder - WARNING - Datum 'NAVD88' already exists in config reference. Replacing it based on NOAA station data.
WARNING:FloodAdapt.DatabaseBuilder:Datum 'NAVD88' already exists in config reference. Replacing it based on NOAA station data.
2025-07-17 02:59:38 PM - FloodAdapt.DatabaseBuilder - WARNING - Main water level reference set to 'MLLW'.
WARNING:FloodAdapt.DatabaseBuilder:Main water level reference set to 'MLLW'.
2025-07-17 02:59:38 PM - FloodAdapt.DatabaseBuilder - WARNING - No subgrid depth geotiff file provided in the config file. Using the one from the SFINCS model.
WARNING:FloodAdapt.DatabaseBuilder:No subgrid depth geotiff file provided in the config file. Using the one from the SFINCS model.
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\regulargrid.py:522: RuntimeWarning:

invalid value encountered in multiply

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\regulargrid.py:523: RuntimeWarning:

invalid value encountered in multiply

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\regulargrid.py:526: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\regulargrid.py:527: RuntimeWarning:

invalid value encountered in cast

WARNING:hydromt_sfincs.sfincs:Dataset [556241.0, 3595063.0, 646041.0, 3696463.0] does not fully cover bbox [555664.786, 3594156.839, 647552.240, 3697401.487]
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

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D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:364: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:365: RuntimeWarning:

invalid value encountered in cast

D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\hydromt_sfincs\workflows\tiling.py:366: RuntimeWarning:

invalid value encountered in cast

2025-07-17 03:01:06 PM - FloodAdapt.DatabaseBuilder - INFO - Tiles were created using the D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_advanced/static/templates/overland/subgrid/dep_subgrid.tif as the elevation map.
INFO:FloodAdapt.DatabaseBuilder:Tiles were created using the D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_advanced/static/templates/overland/subgrid/dep_subgrid.tif as the elevation map.
2025-07-17 03:01:06 PM - FloodAdapt.DatabaseBuilder - INFO - Downloading cyclone track database from https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r01/access/netcdf/IBTrACS.NA.v04r01.nc
INFO:FloodAdapt.DatabaseBuilder:Downloading cyclone track database from https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r01/access/netcdf/IBTrACS.NA.v04r01.nc
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\flood_adapt\database_builder\database_builder.py:1422: FutureWarning:

The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

2025-07-17 03:01:07 PM - FloodAdapt.DatabaseBuilder - WARNING - No river discharge conditions were found in the SFINCS model for river 0. A default value of 0 will be used.
WARNING:FloodAdapt.DatabaseBuilder:No river discharge conditions were found in the SFINCS model for river 0. A default value of 0 will be used.
2025-07-17 03:01:07 PM - FloodAdapt.DatabaseBuilder - INFO - 1 river(s) were identified from the SFINCS model and will be available in FloodAdapt for discharge input.
INFO:FloodAdapt.DatabaseBuilder:1 river(s) were identified from the SFINCS model and will be available in FloodAdapt for discharge input.
2025-07-17 03:01:07 PM - FloodAdapt.DatabaseBuilder - INFO - Observation points were provided in the config file.
INFO:FloodAdapt.DatabaseBuilder:Observation points were provided in the config file.
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\flood_adapt\database_builder\database_builder.py:1389: DeprecationWarning:

The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.

2025-07-17 03:01:07 PM - FloodAdapt.DatabaseBuilder - INFO - A tide gauge has been setup in the database. It will be used as an observation point as well.
INFO:FloodAdapt.DatabaseBuilder:A tide gauge has been setup in the database. It will be used as an observation point as well.
2025-07-17 03:01:07 PM - FloodAdapt.DatabaseBuilder - INFO - Probabilistic event set imported from D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\test_set
INFO:FloodAdapt.DatabaseBuilder:Probabilistic event set imported from D:\a\FloodAdapt\FloodAdapt\docs\_data\examples\static-data\1_DatabaseBuilder\test_set
2025-07-17 03:01:07 PM - FloodAdapt.DatabaseBuilder - INFO - Using building footprints from D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/FEMA_building_footprints.gpkg.
INFO:FloodAdapt.DatabaseBuilder:Using building footprints from D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/FEMA_building_footprints.gpkg.
2025-07-17 03:01:08 PM - FloodAdapt.DatabaseBuilder - INFO - Building footprints saved at D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_advanced/static/templates/fiat/exposure/building_footprints/building_footprints.gpkg
INFO:FloodAdapt.DatabaseBuilder:Building footprints saved at D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/Database/charleston_example_advanced/static/templates/fiat/exposure/building_footprints/building_footprints.gpkg
2025-07-17 03:01:08 PM - FloodAdapt.DatabaseBuilder - INFO - Aggregation areas: Census Blockgroup from the FIAT model are going to be used.
INFO:FloodAdapt.DatabaseBuilder:Aggregation areas: Census Blockgroup from the FIAT model are going to be used.
2025-07-17 03:01:08 PM - FloodAdapt.DatabaseBuilder - INFO - Aggregation areas: Subdivision provided in the config are going to be used.
INFO:FloodAdapt.DatabaseBuilder:Aggregation areas: Subdivision provided in the config are going to be used.
2025-07-17 03:01:09 PM - FloodAdapt.DatabaseBuilder - INFO - FIAT road objects transformed from lines to polygons assuming a road width of 5.0 meters meters.
INFO:FloodAdapt.DatabaseBuilder:FIAT road objects transformed from lines to polygons assuming a road width of 5.0 meters meters.
2025-07-17 03:01:09 PM - FloodAdapt.DatabaseBuilder - INFO - Updating FIAT objects ground elevations from SFINCS ground elevation map.
INFO:FloodAdapt.DatabaseBuilder:Updating FIAT objects ground elevations from SFINCS ground elevation map.
2025-07-17 03:01:09 PM - FloodAdapt.DatabaseBuilder - INFO - Ground elevation for FIAT objects is in 'UnitTypesLength.feet', while SFINCS ground elevation is in 'meters'. Values in the exposure csv will be converted by a factor of 3.28084
INFO:FloodAdapt.DatabaseBuilder:Ground elevation for FIAT objects is in 'UnitTypesLength.feet', while SFINCS ground elevation is in 'meters'. Values in the exposure csv will be converted by a factor of 3.28084
2025-07-17 03:01:09 PM - FloodAdapt.DatabaseBuilder - INFO - 'SVI' column in the FIAT exposure csv will be filled by D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/svi.gpkg.
INFO:FloodAdapt.DatabaseBuilder:'SVI' column in the FIAT exposure csv will be filled by D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/svi.gpkg.
2025-07-17 03:01:09 PM - FloodAdapt.DatabaseBuilder - INFO - An SVI map can be shown in FloodAdapt GUI using 'SVI' column from D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/svi.gpkg
INFO:FloodAdapt.DatabaseBuilder:An SVI map can be shown in FloodAdapt GUI using 'SVI' column from D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/svi.gpkg
2025-07-17 03:01:09 PM - FloodAdapt.DatabaseBuilder - INFO - Using map from D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/bfe.gpkg as base flood elevation.
INFO:FloodAdapt.DatabaseBuilder:Using map from D:/a/FloodAdapt/FloodAdapt/docs/_data/examples/static-data/1_DatabaseBuilder/bfe.gpkg as base flood elevation.
WARNING:hydromt_fiat.fiat:Replacing geom: region
2025-07-17 03:01:16 PM - FloodAdapt.DatabaseBuilder - INFO - The default tidal amplitude in the GUI will be 2.8399999999999994 feet, calculated as the difference between MHHW and MSL from the tide gauge data.
INFO:FloodAdapt.DatabaseBuilder:The default tidal amplitude in the GUI will be 2.8399999999999994 feet, calculated as the difference between MHHW and MSL from the tide gauge data.
D:\a\FloodAdapt\FloodAdapt\.pixi\envs\docs\Lib\site-packages\flood_adapt\database_builder\database_builder.py:1707: UserWarning:

Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.


2025-07-17 03:01:16 PM - FloodAdapt.DatabaseBuilder - INFO - Default NSI infometrics and infographics will be created.
INFO:FloodAdapt.DatabaseBuilder:Default NSI infometrics and infographics will be created.
2025-07-17 03:01:16 PM - FloodAdapt.DatabaseBuilder - INFO - Creating `no measures` strategy and `current` projection.
INFO:FloodAdapt.DatabaseBuilder:Creating `no measures` strategy and `current` projection.
2025-07-17 03:01:16 PM - FloodAdapt.Database - INFO - Re-initializing database to charleston_example_advanced at d:\a\floodadapt\floodadapt\docs\_data\examples\static-data\1_databasebuilder\database
INFO:FloodAdapt.Database:Re-initializing database to charleston_example_advanced at d:\a\floodadapt\floodadapt\docs\_data\examples\static-data\1_databasebuilder\database
2025-07-17 03:01:16 PM - FloodAdapt.DatabaseBuilder - INFO - FloodAdapt database creation finished!
INFO:FloodAdapt.DatabaseBuilder:FloodAdapt database creation finished!

Reading-in the FloodAdapt database

Now that we built the database we can open it and continue to work with it.

Let’s open the advanced database that we just created and verify it can be loaded correctly.

settings = Settings(
    DATABASE_ROOT=Path(STATIC_DATA_DIR / "Database").resolve(),
    DATABASE_NAME="charleston_example_advanced"
)
fa = FloodAdapt(database_path=settings.database_path)
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