Dear Openquake
I have a source model that includes background point sources and many Characteristic Fault sources. Having run a disaggregation, I have identified the fault which dominates that hazard.
I would now like to run a new “classical” models in which I test the sensitivity of the hazard level to this fault.
One way of doing this is to run the model three times, in each case varying the values of minMag and occurRates according to the “minimum”, “best estimate”, and “maximum” values, where the geometry remains the same, and comparing the average Uniform Hazard Curves.
<characteristicFaultSource id="21" name="Major_Fault" tectonicRegion="Active Shallow Crust">
<incrementalMFD minMag="7.5" binWidth="0.1">
<occurRates>0.0012</occurRates>
However, I was also wanting to add the uncertainty associated with this specific fault directly into the source model logic tree. How do I best do this? Do I make three copies of the source_modle_file.xml, and for each edit the details for this one fault specifying the “minimum”, “best estimate”, and “maximum” values and use a source_model_logic_tree.xml as follows?
Or is there a more efficient way?
<logicTree logicTreeID="lt1">
<logicTreeBranchSet uncertaintyType="sourceModel"
branchSetID="bs1">
<logicTreeBranch branchID="b1">
<uncertaintyModel>source_model_min.xml</uncertaintyModel>
<uncertaintyWeight>0.25</uncertaintyWeight>
</logicTreeBranch>
<logicTreeBranch branchID="b2">
<uncertaintyModel>source_model_average.xml</uncertaintyModel>
<uncertaintyWeight>0.5</uncertaintyWeight>
</logicTreeBranch>
<logicTreeBranch branchID="b3">
<uncertaintyModel>source_model_max.xml</uncertaintyModel>
<uncertaintyWeight>0.25</uncertaintyWeight>
</logicTreeBranch>
</logicTreeBranchSet>
</logicTree>
</nrml>
Regarding the effectiveness of the LT you built, it depends on the epistemic uncertainties you model. What you did is general and fine.
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