Recent evolution and challenges in the Seismic Hazard Analysis of the Po Plain region, Northern Italy

2013 ◽  
Vol 11 (1) ◽  
pp. 5-33 ◽  
Author(s):  
E. Faccioli
Keyword(s):  
Seismic Hazard ◽  
Hazard Analysis ◽  
Northern Italy ◽  
Seismic Hazard Analysis ◽  
Po Plain ◽  
Plain Region

PEMETAAN DAERAH RENTAN GEMPA BUMI SEBAGAI DASAR PERENCANAAN TATA RUANG DAN WILAYAH DI PROVINSI SULAWESI BARAT

KURVATEK ◽  
2017 ◽  
Vol 1 (2) ◽  
pp. 41-47
Author(s):  
Marinda noor Eva
Keyword(s):  
Seismic Hazard ◽  
Hazard Analysis ◽  
Probabilistic Seismic Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard

Penelitian mengenai daerah rawan gempa bumi ini menggunakan Metode Probabilistic Seismic Hazard Analysis (PSHA) di Provinsi Sulawesi Barat, dengan tujuan untuk memetakan tingkat kerawanan bahaya gempa bumi di Kabupaten Mamasa. Penelitian ini menggunakan data kejadian gempa bumi di Pulau Sulawesi dan sekitarnya dari tahun 1900 – 2015. Hasil pengolahan PSHA menggunakan Software Ez-Frisk 7.52 yang menghasilkan nilai hazard di batuan dasar pada kondisi PGA (T = 0,0 sekon), dengan periode ulang 500 tahun dan 2500 tahun berkisar antara (149,54 – 439,45) gal dan (287,18 – 762,81) gal. Nilai hazard di batuan dasar dengan kondisi spektra T = 0,2 sekon untuk periode ulang 500 tahun dan 2500 tahun adalah (307,04 – 1010,90) gal dan (569,48 – 1849,78) gal. Nilai hazard di batuan dasar dengan kondisi spektra T = 1,0 sekon untuk periode ulang 500 tahun dan 2500 tahun diperoleh nilai (118,01 – 265,75) gal dan (223,74 – 510,92) gal. Berdasarkan analisis PSHA, nilai PGA di Provinsi Sulawesi Barat dominan dipengaruhi oleh sumber gempa sesar.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

scholarly journals Deterministic seismic hazard analysis for assessing earthquake hazard in Sungai Penuh and Kerinci Regency

2021 ◽  
Vol 1876 (1) ◽  
pp. 012016
Author(s):  
Ichy Lucya Resta ◽  
Devi Putri Apriliyani ◽  
MZ Nasri ◽  
Juventa ◽  
Ira Kusuma Dewi
Keyword(s):  
Seismic Hazard ◽  
Hazard Analysis ◽  
Earthquake Hazard ◽  
Seismic Hazard Analysis ◽  
Deterministic Seismic Hazard ◽  
Deterministic Seismic Hazard Analysis

High-resolution probabilistic seismic hazard analysis of West Nusa Tenggara, Indonesia

2021 ◽  
Author(s):  
Y. Yuliastuti ◽  
T. Setiadipura ◽  
A. B. Wicaksono ◽  
E. E. Alhakim ◽  
H. Suntoko ◽  
...  
Keyword(s):  
High Resolution ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Probabilistic Seismic Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard

scholarly journals A ground motion logic tree for seismic hazard analysis in the stable cratonic region of Europe: regionalisation, model selection and development of a scaled backbone approach

2020 ◽  
Vol 18 (14) ◽  
pp. 6119-6148
Author(s):  
Graeme Weatherill ◽  
Fabrice Cotton
Keyword(s):  
United States ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Epistemic Uncertainty ◽  
Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Eastern United States ◽  
Logic Tree ◽  
Short Period ◽  
Northeastern Europe

Abstract Regions of low seismicity present a particular challenge for probabilistic seismic hazard analysis when identifying suitable ground motion models (GMMs) and quantifying their epistemic uncertainty. The 2020 European Seismic Hazard Model adopts a scaled backbone approach to characterise this uncertainty for shallow seismicity in Europe, incorporating region-to-region source and attenuation variability based on European strong motion data. This approach, however, may not be suited to stable cratonic region of northeastern Europe (encompassing Finland, Sweden and the Baltic countries), where exploration of various global geophysical datasets reveals that its crustal properties are distinctly different from the rest of Europe, and are instead more closely represented by those of the Central and Eastern United States. Building upon the suite of models developed by the recent NGA East project, we construct a new scaled backbone ground motion model and calibrate its corresponding epistemic uncertainties. The resulting logic tree is shown to provide comparable hazard outcomes to the epistemic uncertainty modelling strategy adopted for the Eastern United States, despite the different approaches taken. Comparison with previous GMM selections for northeastern Europe, however, highlights key differences in short period accelerations resulting from new assumptions regarding the characteristics of the reference rock and its influence on site amplification.

scholarly journals Update of likelihood-based ground-motion model selection for seismic hazard analysis in western central Europe

2007 ◽  
Vol 5 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Esther Hintersberger ◽  
Frank Scherbaum ◽  
Sebastian Hainzl
Keyword(s):  
Model Selection ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Central Europe ◽  
Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Motion Model ◽  
Ground Motion Model ◽  
Selection For

Selection of Earthquake Scaling Relationships for Seismic-Hazard Analysis

2013 ◽  
Vol 103 (6) ◽  
pp. 2993-3011 ◽  
Author(s):  
M. Stirling ◽  
T. Goded ◽  
K. Berryman ◽  
N. Litchfield
Keyword(s):  
Seismic Hazard ◽  
Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Scaling Relationships ◽  
Earthquake Scaling ◽  
Selection Of
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