Abstract
This study aims to assess the earthquake recurrence parameters (ERP), which are considered as an essential input for probabilistic seismic hazard analysis (PSHA) and other studies related to seismology. The earthquake catalogue is compiled by collecting historical and instrumental earthquake events from various sources. New regression relations are developed for the study region to prepare a homogenised earthquake catalogue. Moreover, seven seismic source zones are delineated for the study region through K-mean clustering analysis, utilising earthquake events from the homogenised earthquake catalogue. After conducting a declustering analysis, two separate earthquake catalogues, namely C2 and C3, are prepared to evaluate the influence of declustering on seismicity parameters compared to the homogenised earthquake catalogue (C1). Specific seismic events are extracted from the catalogue with respect to each zone to conduct a completeness analysis. Finally, three distinct sets of ERP are estimated for each zone, corresponding to each earthquake catalogue. Based on the results obtained, the b-value is determined to be within the range of 0.61–0.89 for the Maharashtra state. Significant variations in the b values corresponding to C2 and C3 are also noted compared to those associated with C1. Additionally, the current study also involves a sensitivity analysis to assess the effect of these parameters on the outcomes of PSHA.
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Acknowledgement
The authors greatly acknowledge the sources of seismic catalogues used in this study: International Seismological Centre, UK; US Geological Survey; National Center for Seismology, India.
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Sagar Dhole: Methodology, supervision, software, formal analysis, visualisation, writing – original draft, review and editing. Sachin Bakre: Conceptualisation, supervision, writing – review and editing.
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Communicated by Sagarika Mukhopadhyay
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Dhole, S., Bakre, S. An updated homogeneous earthquake catalogue and earthquake recurrence parameters of Maharashtra state, an Indian stable continental region. J Earth Syst Sci 133, 13 (2024). https://doi.org/10.1007/s12040-023-02220-z
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DOI: https://doi.org/10.1007/s12040-023-02220-z