Intensity Prediction Equations for Himalaya and its sub-regions based on data from traditional sources and USGS�s Did You Feel It? (DYFI)

Anbazhagan, P and Thakur, H (2024) Intensity Prediction Equations for Himalaya and its sub-regions based on data from traditional sources and USGS�s Did You Feel It? (DYFI). In: Springer Science and Business Media B.V. .

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Abstract

This study has developed Intensity Prediction Equations (IPEs) for the Himalayas and its sub-regions (divided into North-West Himalaya, Central Himalaya, and North-East Himalaya). For this purpose, intensity data reported in previous studies using traditional methods (like field surveys, media reports, and newspapers) and internet-based questionnaires (such as USGS�s Did You Feel It? or DYFI) were used to catalogue two separate intensity datasets. Intensities of traditional datasets were also reassessed for some earthquake events by different studies in the different scales of assignment, which was homogenized for the same intensity scale. IPEs are derived for both datasets separately using a two-stage and one-stage regression technique. These IPEs are developed for a first- and second-order relation with respect to earthquake magnitude. A �maximum intensity vs. magnitude approximation of the IPE� approach relying on an optimal hypocentral depth has also been proposed to select the best-suited IPEs. The information-theoretic approach-based Log-likelihood method (Scherbaum et al. 2009) has been used to check and compare developed IPE performance for events not used for IPE development. These newly developed equations can be used to assess the damage potential of future earthquakes. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Item Type:	Journal Article
Publication:	Springer Science and Business Media B.V.
Publisher:	Springer Science and Business Media B.V.
Additional Information:	The copyright for this article belongs to Springer Science and Business Media B.V.
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	27 May 2024 05:24
Last Modified:	27 May 2024 05:24
URI:	https://eprints.iisc.ac.in/id/eprint/85057

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