Confirmation of Average Annual Loss (AAL) Calculation

[Aulia Khalqillah]

Dear all users,

I just wanted to make sure about the Average Annual Loss (AAL) calculation from the following equation.

I got this equation from this link 

Does the average_loss equation above calculate the AAL for a single realization?

I just think if I have more than one realization (num_rlzs) (e.g. 10), then I got the effective_time_investigation = investigation_time x num_ses x num_rlzs.

So, the average_loss would be

average_loss = sum(event_losses) / (hazard_investigation_time x ses_per_logic_tree_path x number_of_logic_tree_samples) x risk_investigation_time

Am I correct?

I hope anyone can give some information about this. Thanks

[Anirudh Rao]

There are two kinds of average loss outputs: (1) per realization (avg_losses-rlz-<rlz_id>_<calc_id>.csv), and (2) statistics, i.e., mean and quantiles (avg_losses-mean_<calc_id>.csv; avg_losses-quantile-<q>_<calc_id>.csv). To get the outputs per realization, you would need to include in your job file individual_rlzs = true, otherwise by default only the statistics outputs are stored.

[Aulia Khalqillah]

Dear Anirudh,

Thanks for your response.

So, for the avg_losses-mean_<calc_id>.csv, it is a mean (average) of all ses_per_logict_tree_path and number_of_logic_tree_samples which is equal to effective_investigation_time? Can this result be determined as AAL? Am I correct?

Thanks.

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[Anirudh Rao]

Hi Aulia, 

An explanation of all of these parameters can be found here: https://docs.openquake.org/oq-engine/3.20/manual/user-guide/extras/faq.html#what-values-should-i-use-for-investigation-time-ses-per-logic-tree-path-and-number-of-logic-tree-samples-in-my-calculation-and-what-does-the-risk-investigation-time-parameter-for-risk-calculations-do; hopefully that page will answer your question, but if you still have more questions, please feel free to ask!

Best regards,

Anirudh

[Aulia Khalqillah]

Dear Anirudh,

Thanks for the reference. I appreciate it.

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