Global Earthquake Maps Global Earthquake Risk and Covid Map VIEWER PDF PNG CONTRIBUTORS DOCUMENTATION References TECHNICAL DESCRIPTION EXPERIMENTAL map for demonstration purposes only This map presents COVID-19 statistics released by Johns Hopkins University Coronavirus Resource Center over the GEM Global Risk Layer depicting earthquake risk from the GEM Global Earthquake Model (2018). The COVID-19 data shows cumulative number of new cases reported. Click on dots on the map to display a graph of COVID-19 cases as a function of time. The earthquake risk map depicts average annual loss (AAL) over cells of about 100 km squared, expressed in terms of potential damage to buildings in terms of square meters of building floor area. The combined map indicates areas where a damaging earthquake could cause increases in COVID-19 cases due to displacement of people from damaged buildings or where health care systems may be further stressed due to human injuries. GEM’s global model and underlying data and models for social and physical vulnerability can be used to estimate the additional risk in the event of an earthquake and to identify those places at greatest combined COVID-Earthquake risk. Sources https://github.com/CSSEGISandData/COVID-19 https://www.globalquakemodel.org/gem Publication date May 21, 2020 Edition Experimental License Creative Commons BY-NC-SA 4.0 (CC BY-NC-SA 4.0) MAJOR SPONSORS Verisk ARUP GEOSCIENCE AUSTRALIA CSSC NRCan EAFIT ETH ZURICH EUCENTRE FM GLOBAL GFZ GIROJ GNS SCIENCE HANNOVER RE MUNICH RE NTU ICRM NEPHILA NERC NIED NSET OYO PARTNER RE DPC SGC SWISS SER SWISS RE FOUNDATION SURAMERICANA TEM RCN USGS USAID WTW ZURICH INSURANCE

Publications Seismic hazard analysis at the urban scale Share Facebook LinkedIn Download 2021 | Report We perform seismic hazard analysis for three urban centers (Cali, Colombia; Quito, Ecuador; and Santiago, Dominican Republic) within the TREQ project, explicitly accounting for the local soil response in each city. The two requirements for this analysis are (1) hazard estimates on reference bedrock at each city, for which we use the models described in D2.2.2 and D2.2.3 and (2) soil response models that quantify the amplification (or deamplification) of ground shaking throughout the three urban centers due to the shallow soil layers. In this study, in collaboration with local experts, we develop the soil response models for each city using available local geotechnical and geophysical data. We simulate the soil response using 1D equivalent linear analysis using pySRA, and a large suite of input motions generated from (and therefore fully compatible with) the underlying hazard model, which accounts for uncertainty in the input motions. The computed soil response models consist of a set of soil amplification factors (AF) and their uncertainty (�lnAF), covering the respective urban centers. The AFs are defined for periods relevant for risk analysis (PGA – 2.0 s), as well as for a wide range of bedrock shaking intensity levels (0.05 – ~4 g), and can therefore be readily used for probabilistic hazard and risk analysis. Finally, hazard curves are computed at the surface by convolving the bedrock hazard with the AFs and �lnAF at a set of sites. The results are compared to those computed using the ergodic site terms within the GMPEs, which depend on the shear wave velocity in the upper 30 m (Vs30), for which we find significant differences at some sites. Specifically, using the local soil response models can either increase (up to a factor ~2) or decrease the hazard results compared to when an inferred Vs30 is used. For soft sites at longer return periods, the hazard can be lower (and sometimes lower than the hazard on rock) due to soil nonlinearity. These differences can have a significant impact on the risk results, which are described in Deliverable D2.3.5. This study demonstrates the importance of incorporating local soil response when the goal is to model hazard at the urban scale with a higher level of detail compared to more standard approaches using Vs30.

Publications Data Interchange Formats for the Global Earthquake Model (GEM) Share Facebook LinkedIn Download 2010 | Report Sixteen draft data interchange formats and 7 terminology standards (collectively referred to here as DIFs) are proposed here for use in GEM1. This initial draft includes several DIFs for hazard output (to be used as input to risk analyses), exposure (i.e., values exposed to seismic risk), vulnerability, and fragility. Samples are provided of each DIF, and in each case, each parameter is explained, assigned a variable type (e.g., integer, text string, double-precision floating point, etc.) and any constraints are specified (e.g., probabilities between 0 and 1). The proposed data standards in this draft draw primarily on OpenSHA, OpenRisk, PAGER, and to a limited extent HAZUS-MH, EMS-98, and the World Housing Encyclopedia. The DIFs presented in this draft are entirely human-readable, plain-text flat files (commas-and-quotes); no attempt has been made yet to define XML formats. The emphasis in these DIFs is on simplicity and universality over storage efficiency. It is not intended that these DIFs represent a complete or exhaustive set of what GEM1 will require. Later drafts may add XML format and DIFs for other I/O needs. GEM1 participants are encouraged to contact the authors to recommend additions, modifications, and clarification.

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Publications Modelo Probabilístico de Amenaza Sísmica para la República Dominicana Share Facebook LinkedIn Download 2022 | Report Descripción del modelo probabilístico de amenaza sísmica desarrollado para La República Dominicana

News GEM-USAID Vulnerability Workshop By: Jul 2, 2018 Share Facebook LinkedIn The Global Earthquake Model Foundation (GEM) in cooperation with the United States Agency for International Development (USAID), successfully conducted a 2-day Vulnerability and Loss Estimation Workshop in Pavia, Italy from 3-4 April 2017. The objective of the workshop was to discuss various issues in vulnerability analysis to reduce scientific uncertainties and bias in the different approaches for fragility derivation, as well exchange ideas on how these results could be validated and verified. The workshop hopes that the discussions around these issues will also contribute to Sendai’s first priority action: understanding disaster risks. More than 60 participants attended the first day which included presentations by several international experts such as Jack Baker of Stanford University, USA who presented on the trade-offs in regional versus site-specific ground motion selection for vulnerability assessment, Sinan Akkar from Bogazici University, Turkey on ideas and challenges in ground motion selection; and Kyriazis Pitilakis of Aristotle University of Thessaloniki, Greece on Vulnerability assessment of buildings exposed to seismically induced slope displacements. In addition, about 30 participants from around the world joined day 1 of the workshop remotely, which was streamed over the Internet. On the second day, group discussions focused on the limitations, challenges, and future directions for loss estimation and vulnerability modeling. Key recommendations from the workshop are still being finalized and will be shared to the public through GEM’s website once completed. No images found. GALLERY 1/0 VIDEO RELATED CONTENTS

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Back to Bangladesh Outcomes Bangladesh Seismic Risk Assessment The project estimated seismic risk metrics utilising the OpenQuake-engine's stochastic event-based risk assessment calculator. A probabilistic seismic hazard analysis model was employed to generate earthquake rupture forecasts, forming a stochastic event set over a 100,000-year span. Economic and human losses were computed for each event, producing event loss tables and year loss tables. Risk metrics included exceedance probability curves and average annualized losses. Fatality and injury estimates relied on vulnerability models informed by global earthquake data, with a focus on South Asian building characteristics. Results were tabulated nationally and regionally by the project. The assessment also considers the exposure and risk of healthcare facilities, educational facilities, and the national road network to seismic hazards. Maps set 1 | Maps set 2 | Profile Data Download Risk OpenQuake Data job_risk_250ky.ini job_ses_10ky.ini job_ses_1ky.ini summary_risk.xlsx ebr-250ky/ aggcurves-NAME_1_99956600.csv aggcurves-_99956600.csv aggrisk-NAME_1_99956600.csv aggrisk-_99956600.csv avg_losses-Zila_99956600.csv avg_losses-rlz-000_99956600.csv events_99956600.csv realizations_99956600.csv report_99956600.rst risk_by_event_99956600.csv ebr-upazila-250ky/ aggcurves-NAME_1_99956602.csv aggcurves-_99956602.csv aggrisk-NAME_1_99956602.csv aggrisk-_99956602.csv realizations_99956602.csv report_99956602.rst

Publications Development of the OpenQuake engine, the Global Earthquake Model's open-source software for seismic risk assessment Share Facebook LinkedIn Download 2013 | Peer-reviewed The Global Earthquake Model aims to combine the main features of state-of-the-art science, global collaboration and buy-in, transparency and openness in an initiative to calculate and communicate earthquake risk worldwide. One of the first steps towards this objective has been the open-source development and release of software for seismic hazard and risk assessment called the OpenQuake engine. This software comprises a set of calculators capable of computing human or economic losses for a collection of assets, caused by a given scenario event, or by considering the probability of all possible events that might happen within a region within a certain time span. This paper provides an insight into the current status of the development of this tool and presents a comprehensive description of each calculator, with example results.

Publications GEM's 2018 global hazard and risk models Share Facebook LinkedIn Download 2020 | Peer-reviewed This special issue of Earthquake Spectra documents the supporting research critical to the development of the Global Seismic Hazard and Risk models by the GEM (Global Earthquake Model) Foundation, representing a major step in understanding earthquake risk globally. Seismic hazard and risk models are needed for accurate assessment of risks in order to promote risk reduction and mitigating actions, such as the improvement of building codes and construction practices, sustainable land use, emergency response, and protection of critical infrastructures, as well as risk transfer through insurance. GEM’s Global Seismic Hazard Model comprises a mosaic of 30 probabilistic seismic hazard models. Using this collection of hazard models as input, GEM computed a Global Seismic Risk Model depicting the average Annual Economic Losses (AEL) caused by ground shaking on the residential, commercial, and industrial building stock. Additional results were successively compiled including global maps for different intensity measure types, soil conditions and return periods. This collection of papers is intended for scientists and researchers in the hazard and risk modeling sector, and risk professionals for application to disaster risk reduction around the globe. This issue is made possible with partial support by the Global Earthquake Model (GEM) Foundation. Founded in Pavia, Italy in 2009, GEM is a non-profit public-private partnership that drives global collaborative efforts to develop scientific and high-quality resources for transparent assessment of earthquake risk and to facilitate their application for risk management around the globe. Learn more at www.globalquakemodel.org.