Researchers usually define the Drought Risk Index (DRI) as the multiplication of Drought Hazard Index (DHI) and Drought Vulnerability Index (DVI) or DRI = DHI×DVI. Besides adding the Drought Resilience Index (DREI), in our study, we consider using geometric mean to aggregate the different components in the risk index. Geometric mean is chosen for its simplicity in calculation and application compared to other methods. Furthermore, high accuracy has been reported when the geometric mean is applied in composite indices making it widely used.
Please find the full text of our open-access paper at the following link. Feel free to contact me for further discussion and feedback:
https://www.researchgate.net/publication/350643439_Spatiotemporal_Drought_Risk_Assessment_Considering_Resilience_and_Heterogeneous_Vulnerability_Factors_Lempa_Transboundary_River_Basin_in_The_Central_American_Dry_Corridor
Thanks sir for your paper. I have read it and would like you to assist me on analysing drought in my home area. We have seen our cows, sheep and goats die due to drought
Dear Kiprotich,
It's a pleasure to see you are interested in our work. I will be grateful if we could have collaboration in this field.
Kind Regards,
Ali
Thank you for your response!
We proposed our new method based on geometric mean, instead of multiplication. Let's say DHI=0.6 and DVI=0.6, then if we use multiplication, DRI=0.36, that seems not reasonable! When we combine two good ranges of DHI and DVI, but DRI is not good!
But when we use the geometric mean, DRI=0.6.
That is one of the reasons that we used geometric mean in our framework. We add also DREI to the DRI calculation method. Because the resilience of the system (the power of the system to cope with a disaster or hazard) is usually neglected in the literature.
Please read our paper here:
https://www.researchgate.net/publication/350643439_Spatiotemporal_Drought_Risk_Assessment_Considering_Resilience_and_Heterogeneous_Vulnerability_Factors_Lempa_Transboundary_River_Basin_in_The_Central_American_Dry_Corridor
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