1. Delft-FIAT

2. Impact assessment with fiat
14 april 2018
Impact assessment with fiat
Flood Impact Assessment Tool (Delft-FIAT):
Flexible framework for building unit-loss models
Calculation of damage at various scales and levels of detail
Applicable for both local floods and large-scale floods
Easy to build an interface on top or add to model train.
Able to deal with very large high resolution files.
Raster based
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3. Excel configuration file
14 april 2018
Excel configuration file
Indicate:
Location of files,
Names of damage categories
Maximum damages
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4. 14 april 2018
EXposure
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5. Exposure files Raster: ASCII (easier) or GeoTIFF (more efficient)
14 april 2018
Exposure files
Raster: ASCII (easier) or GeoTIFF (more efficient)
One raster per damage category
Each cell holds a value indicating the quantity of objects in that cell, this needs to correspond with maximum damage.
E.g. if maximum damage per m2 house -> cell holds m2 house
Extend, cell size and projection needs to match for all exposure rasters.
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6. Choice of pixel size Too small pixel size (e.g. 1m)
14 april 2018
Choice of pixel size
Too small pixel size (e.g. 1m)
Slows down calculation
Requires more hard drive space
Too large pixel size (e.g. 100m)
Only part of pixel floods (buildings on highest points), yet average pixel depth used for complete pixel.
No problem with large flood depths, flat areas or low probability events.
For Colombo we use a pixel size of 5m
Example of a pixel that is too large
1 pixel

7. Pre-processing from building polygon
14 april 2018
Pre-processing from building polygon
For m2 building footprint
Select all buildings within damage category.
Export to new shapefile
Convert to 1x1m raster with value 1 in each cell.
Aggregate to desired resolution
For number of buildings
Select all buildings within damage category.
Convert polygon to point
Convert point to point data to raster with in each cell the point count.
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8. Maximum damage Input unit = Output unit
14 april 2018
Maximum damage
Input unit = Output unit
Make sure all categories have the unit
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9. 14 april 2018
Damage functions
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10. Damage functions format
14 april 2018
Damage functions format
CSV files
File needs number as name, reference to number from excel configuration.
Place all files in same folder
Does not interpolate => Needs input for each cm.
Easy to create in excel (save as csv) or with script
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11. 14 april 2018
Water depth map
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12. 14 april 2018
Risk calculation
Delft-FIAT can calculate the annual expected damage also.
In the process you also get results for all different return periods.
You do this by changing the water depth input into a csv input.
The csv input holds the locations of all floodmaps with the return periods.
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13. Other configuration 1: name result file
14 april 2018
Other configuration
1: name result file
2: Category included (1) or not included (0)
3: Output individual layer map
4: Weight to scale output
5: Output maps 1 5
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14. Results – for one water depth map
14 april 2018
Results – for one water depth map 2 3 4 1
1= Column with category names
2= Damage per category (currency is same as input currency)
3= Count of exposure input unit
4= Input unit exposure
Also an excel version (without styling) available
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15. Results – for risk calculation
14 april 2018
Results – for risk calculation
Each individual input water depth map will get its own standard folder.
A map will be made for each damage category (needs to be summed for EAD map)
The EAD value is recorded in special report per damage category
Total EAD is also mentioned
Unit of EAD is per year and currency is same as input currency.
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16. 14 april 2018
Results – maps
Delft-FIAT output also consists of maps in the tiff format.
These can be opened in ArcMap or QGIS by dragging them in.
User is required to set legend and choose a background
The following maps are available:
Total damage
Damage map per damage category – optional
Risk map per risk damage category (when doing risk calculation)
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17. How to install and run Advanced Executable Install
14 april 2018
How to install and run
Advanced
Executable
Install
1.Copy folder “advanced”
2.Go to folder “PythonInstall”
3.Install “.exe”
1.Copy folder “x64”
Run
Set excel configuration
Open newly installed spyder editor.
Within spyder open “cla.py”
Within “cla.py” set location excel configuration and location “PythonFiles”
Save “cla.py”
Find install location Python, double click “python.exe”
Type: execfile({{path cla.py}})
1. Set excel configuration
2.Open “run.bat” in text editor (right click->edit or open width)
3.Change file locations
4.Save and close “run.bat”
5.Double click “run.bat”
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To get file path of any file: hold shift – right click – copy as path
Alternative run with macro buttons

18. Run: Executable 1=Location Delft-FIAT.exe (in x64 folder)
14 april 2018
Run: Executable
1=Location Delft-FIAT.exe (in x64 folder)
2=Location excel configuration
If space in folder name add quote signs (e.g. “C:\my folder”)
You can add multiple lines with different excel configuration files to run them all at once (make sure to change the result folder for each run in the excel configuration).
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19. Run: advanced run (1) 1=save
14 april 2018
Run: advanced run (1)
1=save
2=location “PythonFiles” folder (you can find this within advanced)
3=location excel configuration file
To do multiple runs at once:
Repeat line 8,11,13 for each run.
Make sure to change the result folder for each run in the excel configuration.
If you know how, use for loop
Advanced method:
Use same excel configuration file
Change water depth and result folder from Python.
See: wikipage
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More information:

20. 14 april 2018
Run: advanced run (2)
Find location you installed Python (e.g. go through shortcut -> right click -> find location)
Open “python.exe”
Type execfile({{path cla.py}}) - see screenshot
If no other Python version installed you can also run from Spyder
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21. Risk calculation for multiple return periods
14 april 2018
Risk calculation for multiple return periods
Example:
3 damage calculations, RP=10,100 and 1000.
Risk ($/y) = area under graph
No damage assumed below RP=10
Area calculated in 5 blocks.
Risk is sum area blocks.
Damage
Probability
( )*10
0.5*( )*(40-10)
( )*40
0.5*( )*(50-40)
0.001*50
𝑅𝑖𝑠𝑘= 𝐷𝑎𝑚𝑎𝑔𝑒 𝑝 𝑑𝑝