QGIS TUFLOW Apply Stability Styling: Difference between revisions
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=====Rules=====
The rules to categorise 'Likely Unstable' and 'Possibly Unstable' are very similar and the main difference is that they use different sensitivities. The parameters determining how sensitive each is can be modified by the user. The basic rules as follows, a more detailed description and how to change the sensitivity can be found further below:
* Rule 1: Flag as unstable if the minimum value is less than zero ''(only applied to "Possibly Unstable")''
* Rule 2: Flag as unstable if the minimum and maximum values occur within a certain timeframe of each other
* Rule 3: Flag as unstable if the maximum value falls outside of the time series values by a certain amount
* Rule 4: Flag as unstable if the minimum value falls outside of the time series values by a certain amount
* Rule 5: Flag as unstable if a number time series 'bounces' with a magnitude greater than a given value exceed a given count
''Detailed Description''<Br>
The following detailed rule description refer to the following variables (which can be changed by the user):<br>
'''FORWARD_LOOK_COUNT'''<br>
'''DIFF_BETWEEN_MAX_AND_TS'''<br>
'''UNSTABLE_COUNT_LIMIT'''<br>
'''UNSTABLE_PERC_LIMIT'''<br>
* Detailed Description Rule 1: Flag as unstable if the minimum value is less than zero ''(only applied to "Possibly Unstable")''
* Detailed Description Rule 2: Flag as unstable if the minimum and maximum values occur within '''FORWARD_LOOK_COUNT''' number of timesteps. This will not be flagged if the minimum value occurs at the first timestep.
[[File: min_max_close_in_time_example.PNG | 450px]]<br>
* Detailed Description Rule 3: Flag as unstable if the max value is different than the time series maximum by a tolerance of '''DIFF_BETWEEN_MAX_AND_TS''' multiplied by the time series range (time series max - time series min). Or flag as unstable if the time of max is
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