Exploring earthquake databases for the creation of magnitude-homogeneous catalogues: tools for application on a regional and global scale

Weatherill, Graeme; Pagani, Marco; García, Julio Martínez

doi:10.1093/gji/ggw232

Cited by 49 publications

(34 citation statements)

References 34 publications

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“…In comparison with other similar magnitude conversions, the linear model of this study is in close agreement with linear model developed by Weatherill et al (2016), produces steeper gradient in comparison with Scordilis (2006) and Das et al (2011), and a gentler one in comparison with Di model. We did not explore in details the cause of the differences; however, the choice of regression technique (e.g.…”

Section: Figsupporting

confidence: 87%

Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea

Ghasemi

Cummins

Weatherill

et al. 2020

Bull Earthquake Eng

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Papua New Guinea (PNG) lies in a belt of intense tectonic activity that experiences high levels of seismicity. Although this seismicity poses significant risks to society, the Building Code of PNG and its underpinning seismic loading requirements have not been revised since 1982. This study aims to partially address this gap by updating the seismic zoning map on which the earthquake loading component of the building code is based. We performed a new probabilistic seismic hazard assessment for PNG using the OpenQuake software developed by the Global Earthquake Model Foundation (Pagani et al. in Seism Res Lett 85(3):692–702, 2014). Among other enhancements, for the first time together with background sources, individual fault sources are implemented to represent active major and microplate boundaries in the region to better constrain the earthquake-rate and seismic-source models. The seismic-source model also models intraslab, Wadati–Benioff zone seismicity in a more realistic way using a continuous slab volume to constrain the finite ruptures of such events. The results suggest a high level of hazard in the coastal areas of the Huon Peninsula and the New Britain–Bougainville region, and a relatively low level of hazard in the southwestern part of mainland PNG. In comparison with the seismic zonation map in the current design standard, it can be noted that the spatial distribution of seismic hazard used for building design does not match the bedrock hazard distribution of this study. In particular, the high seismic hazard of the Huon Peninsula in the revised assessment is not captured in the current building code of PNG.

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Section: Figsupporting

confidence: 87%

Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea

Ghasemi

Cummins

Weatherill

et al. 2020

Bull Earthquake Eng

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“…Further acknowledgements to users of the ISC-GEM Catalogue are available at http://www.isc.ac.uk/iscgem/update_log/ (last access: 10 October 2018). Figures were drawn using the Generic Mapping Tools (Wessel et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Cambiotti et al, 2016;Geist, 2014;Ikuta et al, 2015;Kagan, 2017;Kagan and Jackson, 2016;Katsumata, 2015;Pollitz et al, 2014;Quinteros Cartaya et al, 2016;Roth et al, 2017;Zaliapin and Kreemer, 2017;Zechar et al, 2016;Zhan and Shearer, 2015) as well as by groups working on earthquake catalogues for seismic hazard purposes (e.g. Alvarez et al, 2016;Deif et al, 2017;Ghasemi et al, 2016;Kadirioglu et al, 2016;Markušić et al, 2015;Mikhailova et al, 2015;Poggi et al, 2017;Weatherill et al, 2016) and other seismological studies (e.g. Lange et al, 2017;Leonard, 2014;Metzger et al, 2017;Ye et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

The ISC-GEM Earthquake Catalogue (1904–2014): status after the Extension Project

Giacomo¹,

Engdahl

Storchak³

2018

Earth Syst. Sci. Data

143

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Abstract. We outline the work done to extend and improve the ISC-GEM Global Instrumental Earthquake Catalogue, a dataset which was first released in 2013 (Storchak et al., 2013, 2015). In its first version (V1) the catalogue included global earthquakes selected according to time-dependent cut-off magnitudes: 7.5 and above between 1900 and 1918 (plus significant continental earthquakes 6.5 and above); 6.25 between 1918 and 1959; 5.5 between 1960 and 2009. Such selection criteria were dictated by time and resource limitations. With the Extension Project we added both pre-1960 events below the original cut-off magnitudes (if enough station data were available to perform relocation and magnitude recomputation) and added events with magnitude 5.5 and above from 2010 to 2014. The project ran over a 4-year period during which a new version of the ISC-GEM Catalogue was released each year via the ISC website (http://http://www.isc.ac.uk/iscgem/, last access: 10 October 2018). For each year, not only have we added new events to the catalogue for a given time range but also revised events already in V1 if additional data became available or location and/or magnitude reassessments were required. Here we recall the general background behind the production of the ISC-GEM Catalogue and describe the features of the different periods in which the catalogue has been extended. Compared to the 2013 release, we eliminated earthquakes during the first 4 years (1900–1903) of the catalogue (due to lack of reliable station data), added approximately 12 000 and 2500 earthquakes before 1960 and between 2010 and 2014, respectively, and improved the solution for approximately 2000 earthquakes already listed in previous versions. We expect the ISC-GEM Catalogue to continue to be one of the most useful datasets for studies of the Earth's global seismicity and an important benchmark for seismic hazard analyses, and, ultimately, an asset for the seismological community as well as other geoscience fields, education and outreach activities. The ISC-GEM Catalogue is freely available at https://doi.org/10.31905/D808B825.

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“…Firstly, values of M directly calculated from inversion were always preferred over proxy values of M retrieved from the literature or existing catalogues, which were, in turn, preferred over the use of empirical conversion models. Secondly, hierarchies were established in order to deal with lack of agreement in the values of M. Due to its global coverage and its longevity as a dataset, the M estimates from the Global Centroid Moment Tensor catalogue (GCMT; Dziewonski et al 1981;Ekström et al 2012) were preferred, when available, over all other estimates, in line with the ISC-GEM catalogue (Storchak et al 2013) and the work of Weatherill et al (2016), who took it as the reference scale for harmonisation (which means as well that the empirical conversion models used by the two aimed at converting M s and m b into a GCMT-equivalent M, retrieved herein as proxy M when needed and available). Estimates of M by the USGS were taken in second order of preference, as they scale equivalently to those of the GCMT, albeit with some variance, as shown by Weatherill et al (2016).…”

Section: Earthquake Magnitudementioning

confidence: 99%

A database of damaging small-to-medium magnitude earthquakes

et al. 2020

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Interest in small-to-medium magnitude earthquakes and their potential consequences has increased significantly in recent years, mostly due to the occurrence of some unusually damaging small events, the development of seismic risk assessment methodologies for existing building stock, and the recognition of the potential risk of induced seismicity. As part of a clear ongoing effort of the earthquake engineering community to develop knowledge on the risk posed by smaller events, a global database of earthquakes with moment magnitudes in the range from 4.0 to 5.5 for which damage and/or casualties have been reported has been compiled and is made publicly available. The two main purposes were to facilitate studies on the potential for earthquakes in this magnitude range to cause material damage and to carry out a statistical study to characterise the frequency with which earthquakes of this size cause damage and/or casualties (published separately). The present paper describes the data sources and process followed for the compilation of the database, while providing critical discussions on the challenges encountered and decisions made, which are of relevance for its interpretation and use. The geographic, temporal, and magnitude distributions of the 1958 earthquakes that make up the database are presented alongside the general statistics on damage and casualties, noting that these stem from a variety of sources of differing reliability. Despite its inherent limitations, we believe it is an important contribution to the understanding of the extent of the consequences that may arise from earthquakes in the magnitude range of study.

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Exploring earthquake databases for the creation of magnitude-homogeneous catalogues: tools for application on a regional and global scale

Cited by 49 publications

References 34 publications

Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea

Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea

The ISC-GEM Earthquake Catalogue (1904–2014): status after the Extension Project

A database of damaging small-to-medium magnitude earthquakes

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