Can someone interpret the affected building data and service built? I am guessing the affected building is the damage and service built is the avoided damage. But what currency? I am lost here. I have also provided the damage loss table. The data is in my currency bdt or usd? how to convert it? how to write my interpretation
Damage_loss_table.csv (199 Bytes)
Hi @Rahi ,
Thanks for your question about the InVEST Urban Flood Risk model.
Please always refer to the User Guide for clarification on data inputs and results.You can see here that the currency is up to the user to choose. You can use whatever currency you would like, just note that the results will be provided in that same currency.
I apologize that I cannot help with interpreting and converting the values shown in your screenshot. I’m unfamiliar with those metrics. Are the units of measure for the “Affected Building” column a count? What is “Service Built”?
-Jesse
Affected building maybe the damaged by the flood and service built is the avoided damage. I am asking for anyone’s help to interpreting these numbers
The User Guide provides equations and some description of each of these outputs in the Calculate Potential Service section of the UFR chapter.
Affected building is described as “the sum of potential damage in currency units to built infrastructure”, which equates to the area of the buildings multiplied by their damage cost, aggregated by watershed. It is simply a way to give some sort of number to the potential damage due to flooding. Since the model does not include flood depth or extent, we cannot calculate actual damage area or cost.
Service built could use more explanation in the User Guide, which i will add. It is an indicator of the service provided the landscape, in terms of retaining water that would otherwise cause damage to buildings. It is calculated by simply multiplying affected building per watershed by the runoff retention in that same watershed. So the units are meaningless (currency x volume), but the result provides a way of calculating the actual service of flood retention, not just damage cost. We often calculate similar metrics for other services, for example (nutrient retention x # of people living downstream who benefit from cleaner water).
~ Stacie
Thanks @swolny… not having used this model yet myself, I hadn’t recognized that the table in the screenshot was a modified version of attribute tables from the “flood_risk_service.shp” model result.
