Hi,
I am experiencing very high standard deviation when using the AWARE method for water use (water scarcity).
The standard deviation in all the other impact categories is acceptable, so it should not be my model (or at least that's what I think).
For example, I have a mean result of 18 m3, a standard deviation of 85, a median of 21, a very negative 5% percentile (-123 m3) and a very positive 95% percentile (146 m3).
in the uncertainty, I am using a lognormal distribution for my foreground data.
I have screened all the processes and it seems like electricity has the highest standard deviation of all, but even when I tried using other locations/market mixes, the uncertainty was still very high.
I do not use any allocation.
Has anyone experienced the same problem and knows how to solve this ?
Thanks in advance!
