Declustering characteristics of the North China Plain seismic belt and its effect on probabilistic seismic hazard analysis

Autor: Jinmeng Bi, Cheng Song, Fuyang Cao

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Abstract The accurate and impartial identification of background seismic activity is an important foundation for earthquake model construction and probabilistic seismic hazard analysis (PSHA). We use the Gardner and Knopoff, Reasenberg, nearest-neigh

Externí odkaz: https://doaj.org/article/140c670219354818bdc7da688d47bcf2

MMPP Models of Background Seismicity: A Comparative Analysis for Different Declustering Algorithms

Autor: E. Varini, A. Peresan. A. Benali

Publikováno v: 2021 Annual Meeting of the Seismological Society of America, pp. 1323–1323, online, 19-23/04/2021
info:cnr-pdr/source/autori:E. Varini, A. Peresan. A. Benali/congresso_nome:2021 Annual Meeting of the Seismological Society of America/congresso_luogo:online/congresso_data:19-23%2F04%2F2021/anno:2021/pagina_da:1323/pagina_a:1323/intervallo_pagine:1323–1323

Declustering a seismic catalog is a relevant preliminary step in many applications, such as earthquake forecasting and seismic hazard assessment. Declustering aims partitioning an earthquake catalog into background seismicity, which is supposed to re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::f51b9ac0400b7605c5d01adad0456f22
http://www.cnr.it/prodotto/i/453677

Markov modulated Poisson processes for stochastic modelling of background seismicity

Autor: Elisa Varini, Amel Benali, Antonella Peresan

Publikováno v: European Geosciences Union (EGU) General Assembly 2021, online, 19-30/04/2021
info:cnr-pdr/source/autori:E. Varini, A. Peresan and A. Benali/congresso_nome:European Geosciences Union (EGU) General Assembly 2021/congresso_luogo:online/congresso_data:19-30%2F04%2F2021/anno:2021/pagina_da:/pagina_a:/intervallo_pagine
GRASPA-TIES European 2021 Workshop, pp. 93–93, Roma, online, 07-09/06/2021
info:cnr-pdr/source/autori:E. Varini, A. Peresan and A. Benali/congresso_nome:GRASPA-TIES European 2021 Workshop/congresso_luogo:Roma, online/congresso_data:07-09%2F06%2F2021/anno:2021/pagina_da:93/pagina_a:93/intervallo_pagine:93–93

We investigate the statistical properties of declustered catalogs as obtained from the application of two different data-driven declustering algorithms, namely the nearest-neighbor method and the stochastic declustering method (Benali et al., Stoch.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8a806589126e7ea7673507031a4f390
http://www.cnr.it/prodotto/i/453676