I am currently running my data sources after pre-processing with Invest’s Urban Flood Risk Mitigation model and am receiving abnormally large service.built values (on the order of E16).
I’ve uploaded a screenshot to the values that I am receiving for R_m3 and Affected build. The calculation to achieve service.built seems correct after manually multiplying those two values, but I can’t seem to explain why the R_m3 is so high.
I created a previous thread on the sample data’s outputs and wanted to clarify two things:
- In the documentation it says that this value is in m^3 but I am not sure how that’s gotten if
affected.build is in $ and the sum of R_m3i is in m^3. Could you clarify the units on this output as well as possibly why the resulting value is in the trillions?
- How is the spatial resolution being considered in the calculation? I noticed that for R_m3i it is the pixel area * runoff retention per pixel * rainfall depth. I read in a previous thread where the sample data was on a 30m x 30m resolution and for each pixel it had to be multiplied by 900 sqm. Could you clarify how the pixel area is being calculated?
Thanks for the help!