scholarly journals The Global Seismic Hazard Assessment Program (GSHAP) - 1992/1999

1999 ◽  
Vol 42 (6) ◽  
Author(s):  
D. Giardini

The United Nations, recognizing natural disasters as a major threat to human life and development, designed the 1990-1999 period as the International Decade for Natural Disaster Reduction (UN/IDNDR; UN Res. 42/169/ 1987). Among the IDNDR Demonstration Projects is the Global Seismic Hazard Assessment Program (GSHAP), launched in 1992 by the International Lithosphere Program (ILP) and implemented in the 1992-1999 period. In order to mitigate the risk associated to the recurrence of earthquakes, the GSHAP promoted a regionally coordinated, homogeneous approach to seismic hazard evaluation. To achieve a global dimension, the GSHAP established initially a mosaic of regions and multinational test areas, then expanded to cover whole continents and finally the globe. The GSHAP Global Map of Seismic Hazard integrates the results obtained in the regional areas and depicts Peak-Ground-Acceleration (PGA) with 10% chance of exceedance in 50 years, corresponding to a return period of 475 years. All regional results and the Global Map of Seismic Hazard are published in 1999 and available on the GSHAP homepage on http://seismo.ethz.ch/GSHAP/.

1999 ◽  
Vol 42 (6) ◽  
Author(s):  
D. Giardini ◽  
G. Grünthal ◽  
K. M. Shedlock ◽  
P. Zhang

The Global Seismic Hazard Assessment Program (GSHAP), a demonstration project of the UN/International Decade of Natural Disaster Reduction, was conducted in the 1992-1998 period with the goal of improving global standards in seismic hazard assessment. The GSHAP Global Seismic Hazard Map has been compiled by joining the regional maps produced for different GSHAP regions and test areas; it depicts the global seismic hazard as Peak Ground Acceleration (PGA) with a 10% chance of exceedance in 50 years, corresponding to a return period of 475 years.


2013 ◽  
Vol 184 (3) ◽  
pp. 225-259 ◽  
Author(s):  
Stéphane Baize ◽  
Edward Marc Cushing ◽  
Francis Lemeille ◽  
Hervé Jomard

Abstract This work presents the seismotectonic zoning scheme of Metropolitan France developed by the IRSN (French Institute for Radioprotection and Nuclear Safety) within the framework of its seismic hazard assessment activities. It is the outcome of many years of work following the publication of the “seismotectonic atlas” in 1993 [Grellet et al., 1993]. This scheme supports the assessment of seismic hazard by IRSN. It takes into account the most recent data concerning the deep and surface geology, as well as those related to seismotectonics and tectonic activity. It finally includes 67 surface seismotectonic zones (STZ), as well as a catalogue of 74 faults or structures (named hereafter “potential active faults”) for which indications of Neogene to Quaternary displacement can be inferred. The description of the zoning scheme comes along with an estimation of the uncertainty on the boundary location between adjacent STZ. We also qualitatively determine a “relevance order” for each limit, so as to illustrate their reliability to separate regions of different seismogenic potential. Also, we attributed to the faults an indication whose purpose is to reflect the recent character of their activity, and thus their seismotectonic potential. This assessment of uncertainties was undertaken to better integrate the zoning scheme in the general approach, which arises from recent studies, namely the propagation of the uncertainties in seismic hazard evaluation, whether deterministic or probabilistic.


Terra Nova ◽  
1992 ◽  
Vol 4 (6) ◽  
pp. 623-627 ◽  
Author(s):  
D. Giardini ◽  
P. Basham ◽  
M. Bery

2010 ◽  
Vol 10 (1) ◽  
pp. 25-39 ◽  
Author(s):  
G-A. Tselentis ◽  
L. Danciu

Abstract. Seismic hazard assessment represents a basic tool for rational planning and designing in seismic prone areas. In the present study, a probabilistic seismic hazard assessment in terms of peak ground acceleration, peak ground velocity, Arias intensity and cumulative absolute velocity computed with a 0.05 g acceleration threshold, has been carried out for Greece. The output of the hazard computation produced probabilistic hazard maps for all the above parameters estimated for a fixed return period of 475 years. From these maps the estimated values are reported for 52 Greek municipalities. Additionally, we have obtained a set of probabilistic maps of engineering significance: a probabilistic macroseismic intensity map, depicting the Modified Mercalli Intensity scale obtained from the estimated peak ground velocity and a probabilistic seismic-landslide map based on a simplified conversion of the estimated Arias intensity and peak ground acceleration into Newmark's displacement.


2019 ◽  
Vol 90 (6) ◽  
pp. 2262-2275 ◽  
Author(s):  
Gabriel Candia ◽  
Jorge Macedo ◽  
Miguel A. Jaimes ◽  
Carolina Magna‐Verdugo

ABSTRACT A new computational platform for seismic hazard assessment is presented. The platform, named SeismicHazard, allows characterizing the intensity, uncertainty, and likelihood of ground motions from subduction‐zone (shallow interface and intraslab) and crustal‐zone earthquakes, considering site‐specific as well as regional‐based assessments. The platform is developed as an object‐oriented MATLAB graphical user interface, and it features several state‐of‐the‐art capabilities for probabilistic and deterministic (scenario‐based) seismic hazard assessment. The platform integrates the latest developments in performance‐based earthquake engineering for seismic hazard assessment, including seismic zonation models, ground‐motion models (GMMs), ground‐motion correlation structures, and the estimation of design spectra (uniform hazard spectra, classical conditional mean spectrum (CMS) for a unique tectonic setting). In addition to these standard capabilities, the platform supports advanced features, not commonly found in existing seismic hazard codes, such as (a) computation of source parameters from earthquake catalogs, (b) vector‐probabilistic seismic hazard assessment, (c) hazard evaluation based on conditional GMMs and user‐defined GMMs, (d) uncertainty treatment in the median ground motions through continuous GMM distributions, (e) regional shaking fields, and (f) estimation of CMS considering multiple GMMs and multiple tectonic settings. The results from the platform have been validated against accepted and well‐documented benchmark solutions.


2018 ◽  
Author(s):  
Daniel Weijie Loi ◽  
Mavinakere Eshwaraiah Raghunandan ◽  
Varghese Swamy

Abstract. Seismic hazard assessments – both deterministic and probabilistic, for Peninsular Malaysia have been carried out using peak ground acceleration (PGA) data recorded between 2004 and 2016 by the Malaysian Meteorological Department – using triaxial accelerometers placed at 19 seismic stations within the peninsula and monitored. Seismicity source modelling for the deterministic seismic hazard assessment (DSHA) used historical point sources whereas in the probabilistic (PSHA) approach, line and areal sources were used. The earthquake sources comprised the Sumatran Subduction Zone (SSZ), Sumatran Fault Zone (SFZ), and local intraplate (LI) faults. Gutenberg–Richter law b-value for the various zones identified within the SSZ ranged between 0.56 and 1.06 (mean = 0.83) and that for the zones within SFZ, between 0.53 and 1.13 (mean = 0.84). Suitable ground motion prediction equations (GMPEs) for Peninsular Malaysia along with other pertinent information were used for constructing a logic tree for PSHA of the region. The DSHA critical-worst scenario suggests PGAs of 0.07–0.80 ms−2, whilst the PSHA suggests mean PGAs of 0.06–0.42 ms−2 and 0.12–0.70 ms−2 at 10 % and 2 % probability of exceedance in 50 years, respectively. Both DSHA and PSHA, despite using different source models and methodologies, conclude that the central-western cities of Peninsular Malaysia located between 2° N and 4° N are most susceptible to high PGAs due to neighbouring active Sumatran sources SFZ and SSZ. Surprisingly, the relatively less active SFZ source with low magnitude seismicity appeared as the major contributor, due to its close proximity. Potential hazard due to SSZ mega-earthquakes should not be dismissed, however. Finally, DSHA performed using the limited intraplate seismic data from the Bukit Tinggi (LI) fault at a reasonable Mw 5.0 predicted a PGA of ~ 0.40 ms−2 at Kuala Lumpur.


2018 ◽  
Author(s):  
Lilis Fitri Handayani ◽  
Serly Marlina

Kabupaten Tambrauw adalah salah satu kabupaten di Provinsi Papua Barat, Indonesia. Pusat pemerintahan berada di Fef. Kabupaten Tambrauw mempunyai luas wilayah 11 529,19 Km², yang terdiri dari daratan dan lautan. Secara geografis Kabupaten Tambrauw pada sebelah Utara berbatasan dengan Samudera Pasifik, sebelah Selatan berbatasan dengan Kabupaten Sorong Selatan dan sebelah Timur berbatasan dengan Distrik Sidey dan Kabupaten Manokwari. Ada beberapa metode yang dapat digunakan dalam Seismic Hazard Assessment untuk membuat prediksi kejadian gempa di masa yang akan datang (gempa rencana). Pada analisa ini, Seismic Hazard Assessment menggunakan The Line Source Method untuk membuat Hazard curve yang dapat memperkirakan kejadian gempa di Kabupaten Tambrauw. Kurva hazard dibuat menggunakan fungsi atenuasi Esteva (1970), fungsi Atenuasi Hou & Hu (1991), fungsi Atenuasi Ambraseys (1995) dan fungsi Atenuasi Crouse-Mc Guirre (1996). Hasil analisa menunjukkan besarnya nilai percepatan tanah (ground acceleration) akan semakin mengecil pada jarak atau radius yang semakin jauh. Analisis kurva hazard pada daerah Kabupaten Tambrauw akibat pergeseran lempeng akan menunjukkan nilai terbesar pada saat menggunakan fungsi atenuasi Hou & Hu (1991) dan analisis kurva hazard pada daerah Kabupaten Tambrauw akibat pergeseran lempeng akan menunjukkan nilai terkecil pada saat menggunakan fungsi atenuasi Crouse-McGuirre (1996), F = 0.


2015 ◽  
Vol 58 (1) ◽  
Author(s):  
Laurentiu Danciu ◽  
Domenico Giardini

<p>Global Seismic Hazard Assessment Program - or simply GSHAP, when launched, almost two decades ago, aimed at establishing a common framework to evaluate the seismic hazard over geographical large-scales, i.e. countries, regions, continents and finally the globe. Its main product, the global seismic hazard map was a milestone, unique at that time and for a decade have served as the main reference worldwide. Today, for most of the Earth’s seismically active regions such Europe, Northern and Southern America, Central and South-East Asia, Japan, Australia, New Zealand, the GSHAP seismic hazard map is outdated. The rapid increase of the new data, advance on the earthquake process knowledge, technological progress, both hardware and software, contributed all in updates of the seismic hazard models. We present herein, a short retrospective overview of the achievements as well as the pitfalls of the GSHAP. Further, we describe the next generation of seismic hazard models, as elaborated within the Global Earthquake Model, regional programs: the 2013 European Seismic Hazard Model, the 2014 Earthquake Model for Middle East, and the 2015 Earthquake Model of Central Asia. Later, the main characteristics of these regional models are summarized and the new datasets fully harmonized across national borders are illustrated for the first time after the GSHAP completion.</p>


2015 ◽  
Vol 58 (1) ◽  
Author(s):  
Shahid Ullah ◽  
Dino Bindi ◽  
Marco Pilz ◽  
Stefano Parolai

<p>It is well known that variability in the surface geology potentially leads to the modification of earthquake-induced ground motion over short distances. Although this effect is of major importance when seismic hazard is assessed at the urban level, it is very often not appropriately accounted for. In this paper, we present a first attempt at taking into account the influence of the shallow geological structure on the seismic hazard assessment for Bishkek, Kyrgyzstan, using a proxy (Vs30) that has been estimated from in situ seismic noise array analyses, and considering response spectral ratios calculated by analyzing a series of earthquake recordings of a temporary seismic network. To highlight the spatial variability of the observed ground motion, the obtained results are compared with those estimated assuming a homogeneous Vs30 value over the whole urban area. The seismic hazard is evaluated in terms of peak ground acceleration (PGA) and spectral acceleration (SA) at different periods (frequencies). The presented results consider the values obtained for a 10% probability of exceedance in 50 years. The largest SA estimated considering a rock site classification of the area (0.43 g) is observed for a period of 0.1 s (10 Hz), while the maximum PGA reaches 0.21 g. When site effects are included through the Vs30 proxy in the seismic hazard calculation, the largest SA, 0.67 g, is obtained for a period of 0.3 s (about 3.3 Hz). In terms of PGA, in this case the largest estimated value reaches 0.31 g in the northern part of the town. When the variability of ground motion is accounted for through response spectrum ratios, the largest SA reaches a value as high as 1.39 g at a period of 0.5 s. In general, considering site effects in the seismic hazard assessment of Bishkek leads to an increase of seismic hazard in the north of the city, which is thus identified as the most hazardous part within the study area and which is more far away from the faults.</p>


2019 ◽  
Vol 55 (1) ◽  
pp. 109 ◽  
Author(s):  
Nikolaos Vavlas ◽  
Anastasia Kiratzi ◽  
Basil Margaris ◽  
George Karakaisis

We carry out a probabilistic seismic hazard assessment (PSHA) for Lesvos Island, in the northeastern Aegean Sea. Being the most populated island in the northern Aegean Sea and hosting the capital of the prefecture, its seismic potential has significant social-economic meaning. For the seismic hazard estimation, the newest version of the R-CRISIS module, which has high efficiency and flexibility in model selection, is used. We incorporate into the calculations eight (8) ground motion prediction equations (GMPEs). The measures used are peak ground acceleration, (PGA), peak ground velocity, (PGV), and spectral acceleration, (SA), at T=0.2 sec representative of the building stock. We calculate hazard curves for selected sites on the island, sampling the southern and northern parts: Mytilene, the capital, the village of Vrisa, Mithymna and Sigri. Hazard maps are also presented in terms of all three intensity measures, for a mean return period of 475 years (or 10% probability of exceedance in 50 years), assuming a Poisson process. Our results are comparable to the predictions of on-going EU hazard models, but higher than the provisions of the Greek Seismic Code. Finally, we perform disaggregation of hazard to depict the relative contribution of different earthquake sources and magnitudes to the results.


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