News RMS Joins the Global Earthquake Model Foundation By: Mar 16, 2022 Share Facebook LinkedIn Pavia, Italy. March 21st. – RMS , a world leading risk modeling and solutions company, has joined the Global Earthquake Model (GEM) Foundation , an international public-private partnership that develops and disseminates open-source earthquake hazard and risk assessment software, models and data. The GEM Foundation collaborates worldwide, building local and organizational capacity toward understanding and managing earthquake risk on a local to global scale. The combination of RMS’ latest scientific research and applications, and comprehensive coverage of seismically active regions across the globe; and GEM’s array of open earthquake hazard and risk models and OpenQuake software tools will further enable insurers, reinsurers, financial services organizations, and the public sector with the most informed view of earthquake risk available today. In the last 12 years, GEM has contributed substantially to the broader objectives of the disaster risk reduction community through public-private partnership, research, technical cooperation, training and distribution of open tools that have been used to build a global mosaic of earthquake hazard models and to develop a global risk model centered on the physical and financial risk to the built environment and human population. John Schneider, GEM Secretary General, said: “GEM has become widely known for its work and its contribution to improving the state of knowledge of earthquake risk. Working with RMS to advance earthquake science and open data can further strengthen our scientific insights and commitment to understand, evaluate, and manage earthquake risk especially in underserved regions of the world.” Mohsen Rahnama, Chief Risk Modeling Officer, RMS, said: “RMS started at Stanford University by developing earthquake models for California. The science around earthquakes continues to grow and develop, as does the technology that helps support even greater analysis and understanding of these catastrophic events. RMS has long admired the work of GEM and we are pleased to now be part of this prestigious foundation. We look forward to working with the other members of GEM as we move towards advancing global earthquake understanding and knowledge.” ----- About RMS Risk Management Solutions, Inc. (RMS) shapes the world’s view of risk for insurers, reinsurers, financial services organizations, and the public sector. We empower organizations to evaluate and manage global risk from natural and man-made catastrophes, including hurricanes, earthquakes, floods, climate change, cyber, and pandemics. RMS models underlie the nearly US$2 trillion Property & Casualty industry and many insurers, reinsurers, and brokers around the world rely on RMS model science. RMS helped pioneer the catastrophe risk industry, and continues to lead in innovation by offering unmatched science, technology, and 300+ catastrophe risk models. Leaders across multiple industries can address the risks of tomorrow with the RMS Intelligent Risk Platform™, the only open cloud with collaborative applications and unified analytics that can power risk management excellence across organizations and industries. Further supporting the industry's transition to modern risk management, RMS spearheaded the Risk Data Open Standard (RDOS), a modern, open-standard data schema designed to be an extensible and flexible asset within modeling/analysis systems. RMS is a trusted solutions partner, enabling effective risk management for better business decision-making across risk identification and selection, mitigation, underwriting, and portfolio management. © 2022 Risk Management Solutions, Inc. RMS, the RMS logo, and RMS Risk Intelligence are trademarks of Risk Management Solutions, Inc. All other trademarks are property of their respective owners. Visit RMS.com to learn more and follow us on LinkedIn and Twitter . RMS is a subsidiary of Moody’s Corporation (NYSE: MCO) and operates as part of the Moody’s Analytics business segment. Moody’s Analytics is operationally and legally separate from the Moody’s Investors Service credit rating agency. No images found. GALLERY 1/0 Gallery VIDEO RELATED CONTENTS

Publications User guide Windows tool for field data collection and management Share Facebook LinkedIn Download 2014 | User manual TheaimofthisreportistoprovideguidelinesfortheuseofthedigitalWindowsMobileToolsthathavebeen designedandbuilt tocollectbuildinginventorypre- andpost-earthquakeevents.Theguideinstructsusers how toinstall the software onaWindows deviceand provides step-by-stepinstructions for collectingand managingthedatathathasbeencollected. Itisexpectedthatthefieldstaffarealreadyexpertsincollectingbuildinginventory,thereforethisguidedoes notprovidesinstructionshowtorecogniseorunderstandbuildingstructuralcomponents.

Back to El Salvador Outcomes El Salvador FORCE Project Key Findings for El Salvador Resumen Ejecutivo Proyecto FORCE - Pronóstico y Comunicación de la Amenaza y el Riesgo Sísmico Objetivo Evaluar el riesgo sísmico de El Salvador en sus condiciones actuales, y en los próximos 30 años bajo dos escenarios: manteniendo las prácticas constructivas actuales y adoptando plenamente un código sísmico moderno. Vulnerabilidad Sísmica Actual en El Salvador 40 de cada 100 estructuras expuestas no cumple a cabalidad con normativas sísmicas. $35 de cada $100 dólares invertidos están en estructuras con vulnerabilidad alta o muy alta. 39 de cada 100 personas se encuentran en algún momento del día en edificaciones con vulnerabilidad alta o muy alta. Riesgo Sísmico Actual en El Salvador: ¿Cuánto podemos perder debido a un largo periodo de sismicidad? 128 de cada 1,000 estructuras del inventario nacional se pierden en un promedio anual. $4 millones de cada $1,000 millones invertidos en construcción se pierden en un promedio anual. 2 de cada 100,000 habitantes se pierden en un promedio anual. Crecimiento del Sector Vivienda en El Salvador En los últimos 20 años el número de viviendas ocupadas ha crecido entre un 2% y un 3% anual. Esto implica entre 50 mil y 60 mil viviendas nuevas adicionales en el inventario nacional cada año. Escenario A: ¿Cuál sería nuestro riesgo sísmico en el 2055 si seguimos construyendo de la misma manera? Asumiendo una tasa promedio de crecimiento del sector residencial del 2.5% anual y precios constructivos constantes, en 30 años El Salvador tendría 1.6 millones de edificaciones residenciales nuevas y $165 mil millones adicionales invertidos en el inventario nacional. Siguiendo las mismas prácticas constructivas actuales, esto resultaría en un incremento en el riesgo humano y económico del 22% y 9% respectivamente, en el año 2055. Escenario B: ¿Cuál sería nuestro riesgo sísmico en el 2055 si todos usáramos el código sísmico? Asumiendo una tasa promedio de crecimiento del sector residencial del 2.1% anual y precios constructivos constantes, en 30 años El Salvador tendría 1.1 millones de edificaciones residenciales nuevas y $117 mil millones adicionales invertidos en el inventario nacional. Siguiendo un código sísmico moderno a cabalidad en todas las estructuras nuevas, esto resultaría en una reducción del riesgo cercana a 22% y 38% en términos humanos y económicos respectivamente, en el año 2055. Si desea profundizar en los detalles del proyecto, le invitamos a consultar la página de MARN www.snet.gob.sv/informacion/?area=sismologia

Publications GEM1 Best Practices for Using Macroseismic Intensity and Ground Motion Intensity Conversion Equations for Hazard and Loss Models in GEM1 Share Facebook LinkedIn Download 2010 | Report Macroseismic shaking intensity is a fundamental parameter for the development, calibration, and use in a variety of hazard maps as well as in empirical (direct) and semi-empirical (indirect) earthquake shaking loss methodologies. Macroseismic data also quantify damage from past and present events and facilitate communicating ground motion levels in terms of human experiences and incurred losses. The aim of this report is to summarize and recommend “best practices” for the use of macroseismic intensity in conjunction with hazard maps (particularly ShakeMaps) and as input to associated loss models. The continued reliance on macroseismic intensity data dictates that ground motion prediction equations (GMPEs) alone are not always sufficient for estimating or constraining shaking hazards. Relations that allow direct estimation of intensity given an earthquake magnitude and distance, and those that convert ground motions to intensity (and vice versa) are required. Forward estimation of macroseismic intensities take two primary forms: 1) direct intensity prediction equations (IPEs), and 2) ground-motion-to-intensity conversion equations (GMICE). In addition, one can potentially better constrain historical ground motions at particular sites by employing intensity-to-ground-motion conversion equations (IGMCEs), though such equations are rare. Both the Global Earthquake Model (GEM) and Global ShakeMap (GSM) require advice and optimization in the state-of-the-art use of ground motion and intensity data. We provide background on the issues relating ground motions to intensities, directly predicting intensities, and offer insight into their uses. In the end, we recommend initial default IPE and GMICE selections for use in the immediate short term while additional research on these fronts continues and develops. A brief summary of highly related, current studies that help inform this report is also provided. Based on these ongoing analyses, and this report’s summary, we provide recommendations for further refinements in the form of continued research and development efforts.

News Malaysian delegates visit GEM to explore future seismic hazard and risk assessment collaboration By: Apr 26, 2018 Share Facebook LinkedIn Malaysian delegates from the University of Technology Malaysia, University of Malaya and the Malaysia National Energy Company visited GEM’s headquarters in Pavia, Italy on 20th April to learn more about GEM’s earthquake analysis tools – OpenQuake/hazard and risk toolkits, current projects, and future plans and to explore potential areas for collaboration. Dr. Azlan Adnan of the University of Technology Malaysia led the delegation composed of Dr. Mohd Zamri, Dr. Hanafi Yusop, Dr. Zainul Mamat, Dr. Mushairry Mustaffar, Dr. Ramli Nazir and Dr. Mohd Nadzari Ismail. They expressed interest to learn more about GEM’s earthquake studies and to discuss further collaboration work. The delegates were also joined by Dr. Masyhur Irsyam of Indonesia Bandung University. GEM Secretary General, John Schneider and team leaders from hazard, risk, social vulnerability and information technology and development welcomed the delegates. Presentation of the OpenQuake features, current projects, and future plans highlighted the half-day meeting. No images found. GALLERY Add a Title Describe your image Add a Title Describe your image Add a Title Describe your image Add a Title Describe your image 1/12 VIDEO RELATED CONTENTS

Publications Probabilistic seismic hazard model for the Dominican Republic Share Facebook LinkedIn Download 2022 | Report Description of the probabilistic seismic hazard model developed for the Dominican Republic

Publications Evaluación de Riesgo Sísmico para Santiago de los Caballeros Share Facebook LinkedIn Download 2022 | Report El presente documento es el resultado del esfuerzo colaborativo entre la Fundación GEM, el Servicio Geológico de los Estados Unidos, la oficina del Plan de Ordenamiento Territorial del Ayuntamiento de Santiago de los Caballeros y el Servicio Geológico Nacional. El objetivo de este reporte es presentar los resultados de la evaluación de riesgo urbano para el municipio de Santiago de los Caballeros, obtenidos dentro del contexto del Proyecto para la Comunicación y Formación en la Evaluación de Riesgos por Terremotos (TREQ), financiado por la Oficina de Ayuda Humanitaria de los Estados Unidos (BHA, por sus siglas en inglés).

Publications GEM1 Executive Summary Share Facebook LinkedIn Download 2010 | Report The Global Earthquake Model (GEM) is a public/private partnership initiated and approved by the Global Science Forum of the Organisation for Economic Co-operation and Development (OECD-GSF). GEM aims to provide uniform, independent standards to calculate and communicate earthquake risk worldwide. With committed backing from academia, governments, and industry, GEM will contribute to improved modelling of earthquake risk worldwide. More information is available on the GEM website: www.globalquakemodel.org. As a first step in developing a global earthquake model, a focused pilot project named GEM1 was launched to generate GEM’s first products and develop GEM’s initial IT infrastructure. GEM1 formally started in January 2009 and ended on March 31st 2010, whilst ETH Zurich was appointed as the coordinator, with EUCENTRE (Italy), GFZ (Germany), NORSAR (Norway) and the USGS (USA) as contributing partners (and a number of other institutions and individuals, named in the companion reports, also provided models, data and feedback). The main objective of GEM1 was that it would provide a basis upon which the future development of the full GEM computing environment and product set could be built. The aim as spelled out in the GEM1 implementation plan was to largely use existing tools and datasets in hazard and risk, connected through a unified IT infrastructure. The GEM1 deliverables are therefore to be considered ‘proof-of-concept’ rather than final products, hence any resulting outputs should be conceived as conceptual only and are thus not suitable for application. This report briefly summarizes the achievements of GEM1.

Publications User guide Geospatial tools for building footprint and homogenous zone extraction from imagery Share Facebook LinkedIn Download 2014 | User manual Thisreportdescribes the tools required toextractbuildinginformation from remotely-sensed satelliteand aerialimagery.Itprovidesastep-by-stepuserguideforasetofopen-sourcesoftwaretoolsforgenerating data for the Global Exposure Database. IDCT has proposed an expansive suite of tools for inventory and damage data collection. The opens source image processing and GIS software, Quantum GIS (QGIS) and GRASS provide the core functionality for pre-processing imagery. Algorithms for automatically extracting building footprints are provided as a plug-in toolbar to QGIS. These have evolved from the Building RECognitiontool (BREC),developedbytheUniversityofPavia,andhavebeencustomisedforuseintheIDCT suite. Protocols formodifying GIS information are also provided. For regional exposure development, and generating information for use in mapping schemes, areas of homogenous land use can be manually extracted.ThiscanalsobeachievedinQGIS,howevertheuseofGoogleEarthforgeneratingthesedataare alsodescribed.

Publications Earthquake early warning for Portugal: part 2 – where is it beneficial? Share Facebook LinkedIn Download 2023 | Peer-reviewed An earthquake early warning system (EEWS) can provide valuable alerts before the destructive seismic waves arrive. This warning time can allow the adoption of protective measures by the population, which can translate into reduced casualties and economic savings. In the last centuries, Portugal was struck by several strong earthquakes (e.g., 1755 M ~ 8.5 Lisbon, 1969 M7.8 Algarve), whose magnitude and epicentre might allow large warning times. In this study, a probabilistic seismic hazard analysis (PSHA) model was used to generate a large stochastic event set for mainland Portugal, and the expected human impact (i.e., fatalities and injured) were estimated for each seismic event with and without the consideration of an EEWS. We evaluated different options for the reduction in the casualties considering the duration of the warning time, human reaction time, and the size of the buildings. The potential reduction in the human impact was converted into an economic benefit considering hospitalization costs and the statistical value of a human life in Portugal. The results indicate that such a system could significantly reduce the human and related economic losses in the Southwest of the country.