Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)

<p>Peak ground acceleration (PGA) and study area (SA) distribution for the Patna district are presented considering both the classical and zoneless approaches through a logic tree framework to capture the epistemic uncertainty. Seismicity parameters are calculated by considering completed and...

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Main Authors: P. Anbazhagan, K. Bajaj, K. Matharu, S. S. R. Moustafa, N. S. N. Al-Arifi
Format: Article
Language:English
Published: Copernicus Publications 2019-10-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://www.nat-hazards-earth-syst-sci.net/19/2097/2019/nhess-19-2097-2019.pdf
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spelling doaj-3c892b85bf5d4b018bbd51417e8118e22020-11-25T02:08:48ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812019-10-01192097211510.5194/nhess-19-2097-2019Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)P. Anbazhagan0K. Bajaj1K. Matharu2S. S. R. Moustafa3N. S. N. Al-Arifi4Department of Civil Engineering, Indian Institute of Science, Bangalore, IndiaDepartment of Civil Engineering, Indian Institute of Science, Bangalore, IndiaDepartment of Civil Engineering, Indian Institute of Science, Bangalore, IndiaGeological and Geophysics Department, King Saud University, Riyadh, Saudi ArabiaGeological and Geophysics Department, King Saud University, Riyadh, Saudi Arabia<p>Peak ground acceleration (PGA) and study area (SA) distribution for the Patna district are presented considering both the classical and zoneless approaches through a logic tree framework to capture the epistemic uncertainty. Seismicity parameters are calculated by considering completed and mixed earthquake data. Maximum magnitude is calculated using three methods, namely the incremental method, Kijko method, and regional rupture characteristics approach. The best suitable ground motion prediction equations (GMPEs) are selected by carrying out an “efficacy test” using log likelihood. Uniform hazard response spectra have been compared with Indian standard BIS 1893. PGA varies from 0.38 to 0.30&thinsp;<span class="inline-formula"><i>g</i></span> from the southern to northern periphery considering 2&thinsp;% probability of exceedance in 50 years.</p>https://www.nat-hazards-earth-syst-sci.net/19/2097/2019/nhess-19-2097-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author P. Anbazhagan
K. Bajaj
K. Matharu
S. S. R. Moustafa
N. S. N. Al-Arifi
spellingShingle P. Anbazhagan
K. Bajaj
K. Matharu
S. S. R. Moustafa
N. S. N. Al-Arifi
Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)
Natural Hazards and Earth System Sciences
author_facet P. Anbazhagan
K. Bajaj
K. Matharu
S. S. R. Moustafa
N. S. N. Al-Arifi
author_sort P. Anbazhagan
title Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)
title_short Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)
title_full Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)
title_fullStr Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)
title_full_unstemmed Probabilistic seismic hazard analysis using the logic tree approach – Patna district (India)
title_sort probabilistic seismic hazard analysis using the logic tree approach – patna district (india)
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2019-10-01
description <p>Peak ground acceleration (PGA) and study area (SA) distribution for the Patna district are presented considering both the classical and zoneless approaches through a logic tree framework to capture the epistemic uncertainty. Seismicity parameters are calculated by considering completed and mixed earthquake data. Maximum magnitude is calculated using three methods, namely the incremental method, Kijko method, and regional rupture characteristics approach. The best suitable ground motion prediction equations (GMPEs) are selected by carrying out an “efficacy test” using log likelihood. Uniform hazard response spectra have been compared with Indian standard BIS 1893. PGA varies from 0.38 to 0.30&thinsp;<span class="inline-formula"><i>g</i></span> from the southern to northern periphery considering 2&thinsp;% probability of exceedance in 50 years.</p>
url https://www.nat-hazards-earth-syst-sci.net/19/2097/2019/nhess-19-2097-2019.pdf
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