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  • OpenQuake | Global Earthquake Model Foundation

    OPENQUAKE OpenQuake (OQ) - comprised of the engine, platform and tools - caters to a variety of users, from modellers and researchers to emergency planners - OpenQuake is used for a wide range of purposes for disaster risk reduction and management. OPENQUAKE ENGINE free, open-source software for the assessment of earthquake hazard and risk. OQ PLATFORM explore, access, manipulate, visualize GEM datasets, models and tools. OQ DATA & TOOLS a wide range of open-source source tools to calculate earthquake risk. KEY FEATURES CALCULATORS AND OUTPUTS OQ ENGINE KEY FEATURES Single software Combines hazard and risk in a single software Compatibility Compatible with various existing hazard, vulnerability and exposure models Calculations Calculates scenario and probabilistic hazard and risk analysis Different Scales Supports calculations at different scales Uncertainties Accounts for wide spectrum of uncertainties Typologies Large set of source typologies for modelling faults as well as distributed seismicity Logic Tree Logic tree support (representing epistemic uncertainty) Explicit Uncertainty Explicit representation of uncertainty, including separation of epistemic from aleatory Pre-computed data Runs risk calculations for precomputed hazard curves and ground motion fields OQ ENGINE CALCULATORS AND OUTPUTS PHYSICAL RISK Classical PSHA-based: asset-specific loss exceedance curves, average annual loss, loss maps, building typology disaggregation ​ ​ Event-based risk: event loss tables, loss exceedance curves - asset specific and aggregated, average annual loss, loss maps, loss disaggregation Scenario hazard: loss statistics, loss maps ​ Scenario damage: collapse maps, damage distribution per asset and building typology HAZARD Classical PSHA*: hazard curves, hazard maps, uniform hazard spectra (UHS), disaggregation Event-based hazard : stochastic earthquake event sets and ground motion fields, hazard curves, hazard maps Scenario hazard: single event - stochastically generated ground motion fields ​ Additional features: 5 typologies for modeling seismic sources 100+ GMPEs implemented and tested Tools for harmonizing catalogs, creating seismogenic input files, analyzing strong motions and GMPEs ​

  • GEM’s next journey: Turning GEM models into products useful for the insurance industry

    Latest News GEM’s next journey: Turning GEM models into products useful for the insurance industry READ MORE Photo caption: John Schneider (L), Malcolm Haylock, Luis Sousa, Michael Ewald and Dickie Whitaker during a panel discussion at Oasis-Swiss Re Conference, June 2019 GALLERY RELATED CONTENTS RELATED CONTENTS John Schneider (L), Malcolm Haylock, Luis Sousa, Michael Ewald and Dickie Whitaker during a panel discussion at Oasis-Swiss Re Conference, June 2019 The 4th Oasis Conference in conjunction with Swiss Re Institute ​ John Schneider, GEM Secretary General represented GEM at the 4th Oasis Conference held on June 12, 2019 at Swiss Re Next Auditorium, Zurich, Switzerland. The event, organized by Oasis and Swiss Re Institute brought together some of the world’s best natural catastrophe (natcat) risk experts and modelers. The objective of the 1-day event was to learn more about the suite of available models, options to deploy Oasis, and how Oasis technology is developing. It also provided model providers an opportunity to demonstrate tools and models to participants. Discussions also focused on key issues in models, the need for transparency and the future of catastrophe risk modeling. Three GEM collaborators presented how they have applied GEM models, tools and data to their respective risk modelling activities. Michael Ewald, Swiss Re (a project partner and now a Sponsor) demonstrated how GEM’s OpenQuake is being integrated into their earthquake modeling approach, in particular the OQ Hazard Module (stochastic earthquake catalogue and ground motion prediction equations, or GMPEs). Luis Sousa, AIR Worldwide (a founding Governor Sponsor) showed the history of GEM-AIR collaboration, showing examples of how GEM data and model components have been used to inform the development of their own risk models in several areas around the world. Malcolm Haylock, Sunstone Risk Solutions, described his implementation of GEM’s OpenQuake model for Puerto Rico, a prototype that runs on the Oasis modeling platform Flamingo. http://www.sunstonerisk.com/gem/ John presented GEM data, models and other products that are currently available i.e. global earthquake ground shaking loss to buildings and population that the insurance sector can immediately use. John also mentioned that financial loss models in OASIS, Touchtone and Elements would become available over the coming months. In addition to the financial loss models, he mentioned that over the next three years, the capability of OpenQuake would be extended to cover multi-perils, while tools and models would include time dependence, secondary perils and critical infrastructure - components that are vital in the insurance industry. Daniel Martin Eckhart, Swiss Re Institute Advocate, in his summary of the event, mentioned on his blog John’s analogy of turning GEM models into products consumable by the industry: In a way it was John Schneider who found the perfect image for this moment in time – the image of a potato! He shared the journey of GEM (Global Earthquake Model) with a simple visual that showed how it went from farming the land to harvesting to now producing the potato (aka models). Said John: "I view the potato as something that's useful. We produce the best organic potato and it's useful to many people." But, he pointed out, the potato is bland and its real value appears when it is turned into other things. "What we have now is great, but it is not what the insurance industry is used to consuming. The next part of the GEM journey is turning the potato into French fries." The fries then stand for models that are useful (consumable) for the whole industry. Dickie Whitaker, OASIS Chief Operating Officer and Beat Aeberhardt closed the conference. Dickie highlighted the significant progress made, the increasing maturity of the Oasis code base and the sophistication of the work done over a short period of time. For more details on the 4thOasis Conference, read Daniel Eckhart’s blog here . GALLERY No images found. RELATED CONTENTS oasis-swiss-re-interoperabilityjpg js-at-oasis-conf-2019-zurichjpg oasis-swiss-re-dicki-whitakerjpg 1/3

  • Comparison between outcomes of the 2014 Earthquake Hazard Model of the Middle East (EMME14) and national seismic design codes: The case of Iran

    Publications SHORT INTRO Regional, multi-country seismic hazard models provide a comparison basis for national seismic hazard models that are generally used to underpin the seismic design prescriptions of national building codes. Our study presents an attempt to formalize a framework [..] ALL DETAILS Comparison between outcomes of the 2014 Earthquake Hazard Model of the Middle East (EMME14) and national seismic design codes: The case of Iran Please fill in the form below to download or view the document. Thank you. page Comparison between outcomes of the 2014 Earthquake Hazard Model of the Middle East (EMME14) and national seismic design codes: The case of Iran Additional Requests Provide feedback to GEM on the use and impact of the product e.g. feedback survey. Share with GEM where the product was used i.e. research, publications or projects. Reset fields Submit Download Thank you. Please click "download" button to get your item. I have read and agree to comply with the license terms of this product, and the conditions of products use. Academia Engineering, Government NGO Insurance Other arrow&v

  • Central Asia earthquake catalogue from ancient time to 2009. Annals of Geophysics

    Publications SHORT INTRO In this work, we present the seismic catalogue compiled for Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan) in the framework of the Earthquake Model Central Asia (EMCA) project. The catalogue from 2000 B.C. to 2009 A.D. is compos [..] ALL DETAILS Central Asia earthquake catalogue from ancient time to 2009. Annals of Geophysics Please fill in the form below to download or view the document. Thank you. page Central Asia earthquake catalogue from ancient time to 2009. Annals of Geophysics Additional Requests Provide feedback to GEM on the use and impact of the product e.g. feedback survey. Share with GEM where the product was used i.e. research, publications or projects. Reset fields Submit Download Thank you. Please click "download" button to get your item. I have read and agree to comply with the license terms of this product, and the conditions of products use. Academia Engineering, Government NGO Insurance Other arrow&v

  • Risk Technical Description | Global Eathquake Model Foundation

    Global Earthquake Maps GEM GLOBAL MOSAIC OF RISK MODELS Technical Description READ MORE The Global Seismic Risk Map (v2018.1) comprises four global maps. The main map presents the geographic distribution of average annual loss (USD) normalised by the average construction costs of the respective country (USD/m2) due to ground shaking in the residential, commercial and industrial building stock, considering contents, structural and non-structural components. The normalised metric allows a direct comparison of the risk between countries with widely different construction costs. It does not consider the effects of tsunamis, liquefaction, landslides, and fires following earthquakes. The loss estimates are from direct physical damage to buildings due to shaking, and thus damage to infrastructure or indirect losses due to business interruption are not included. The Global Seismic Hazard Map depicts the geographic distribution of the Peak Ground Acceleration (PGA) with a 10% probability of being exceeded in 50 years, computed for reference rock conditions (shear wave velocity of 760-800 m/s). The Global Exposure Map depicts the geographic distribution of residential, commercial and industrial buildings. The Global Seismic Fatalities Map depicts an estimate of average annual human losses due to earthquake-induced structural collapse of buildings. The results for human losses do not consider indirect fatalities such as those from post-earthquake epidemics. The average annual losses and number of buildings are presented on a hexagonal grid, with a spacing of 0.30 x 0.34 decimal degrees (approximately 1,000 km2 at the equator). The average annual losses were computed using the event-based calculator of the OpenQuake engine, an open-source software for seismic hazard and risk analysis developed by the GEM Foundation. The seismic hazard, exposure and vulnerability models employed in these calculations were provided by national institutions, or developed within the scope of regional programs or bilateral collaborations. These global maps and the underlying databases are based on best available and publicly accessible datasets and models. Due to possible model limitations, regions portrayed with low risk may still experience potentially damaging earthquakes. The GEM Risk Map is intended to be a dynamic product, such that it may be updated when new datasets and models become available. Releases of updated versions of the seismic risk map are anticipated on a regular basis. Additional hazard and risk metrics for each country can be explored at globalquakemodel.org/gem. ​ How to use and cite this work ​ Please cite this work as: V. Silva, D. Amo-Oduro, A. Calderon, J. Dabbeek, V. Despotaki, L. Martins, A. Rao, M. Simionato, D. Viganò, C. Yepes-Estrada, A. Acevedo, H. Crowley, N. Horspool, K. Jaiswal, M. Journeay, M. Pittore (2018). Global Earthquake Model (GEM) Seismic Risk Map (version 2018.1), DOI: 10.13117/GEM-GLOBAL-SEISMIC-RISK-MAP- 2018. This work is licensed under the terms of the Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA). ​ Acknowledgements ​ This map is the result of a collaborative effort and extensively relies on the enthusiasm and commitment of various organisations to openly share and collaborate. The creation of this map would not have been possible without the support provided by several public and private organisations during GEM’s second working programme (2014-2018). None of this would have been possible without the extensive support of all GEM Secretariat staff. These key contributions are profoundly acknowledged. A complete list of the contributors can be found at globalquakemodel.org/gem. ​ Legal statements ​ This map is an informational product created by the GEM Foundation for public dissemination purposes. The information included in this map must not be used for the design of earthquake-resistant structures or to support any important decisions involving human life, capital and movable and immovable properties. The values of seismic hazard and risk in this map do not constitute an alternative nor do they replace building actions defined in national building codes or earthquake risk estimates derived nationally. Readers seeking this information should contact the national authorities tasked with seismic hazard and risk assessment. The seismic risk map results from an integration process that is solely the responsibility of the GEM Foundation.

  • Online News | Global Earthquake Model Foundation | Italy

    GEM Online News Coverage Search Reset Resilience Performance Scorecard Workshop in Yangon Dr. Carlos Villacis and Dr. Christopher Burton of the Global Earthquake Model (GEM) Foundation introduced the Resilience Performance Scorecard, a self-evaluation tool for cities based on the “Ten Essentials for Making Cities Resilient”... https://ggsurbanresilience.org/ GEM featured on OASIS website Oasis Loss Modelling Framework and GEM have been working closely for many years. OASIS and GEM approaches and offerings are complementary, which opens interesting possibilities... https://oasislmf.org Application of Statistical Learning Models for Efficient Seismic Risk Assessment of Large Property... In this paper, AIG researchers introdcue surrogate models to significantly reduce the computational requirements in exchange for manageable errors in predicting the portfolio losses using OQ… https://ascelibrary.org 1 2 3 4 5 1 ... 1 2 3 4 5 6 7 8 9 10 11 12 ... 12