{"id":2098,"date":"2024-08-08T17:14:39","date_gmt":"2024-08-08T22:14:39","guid":{"rendered":"https:\/\/ingeniar-risk.com\/services\/software\/modulos-del-capra\/"},"modified":"2026-09-30T11:17:47","modified_gmt":"2026-09-30T16:17:47","slug":"capra-robot-modules","status":"publish","type":"page","link":"https:\/\/ingeniar-risk.com\/en\/services\/software\/capra-robot-modules\/","title":{"rendered":"CAPRA Robot"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2098\" class=\"elementor elementor-2098 elementor-2037\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-07488eb elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"07488eb\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c44b385\" data-id=\"c44b385\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1c111c2 servicios-box servicios-capra elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1c111c2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fbc0925\" data-id=\"fbc0925\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-2195a5f elementor-reverse-mobile elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2195a5f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-e9614dc\" data-id=\"e9614dc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f4ef5d9 elementor-widget elementor-widget-text-editor\" data-id=\"f4ef5d9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>CAPRA Robot<\/strong><b> is the risk calculation engine of the CAPRA platform. This tool estimates the Loss Exceedance Curve (LEC) for any exposure database, across multiple hazards, using a probabilistic approach. It relies on analytical solutions to calculate loss exceedance rates. It can also aggregate losses from different hazards, producing integrated multi-hazard risk results. Its most relevant outputs include the Average Annual Loss (AAL) and the Probable Maximum Loss (PML), both widely recognized as key risk metrics.<\/b><\/p><p><b>The CAPRA Robot platform includes modules for eight hazard types and six exposure and vulnerability modules. In all cases, hazard is represented probabilistically, following an event-based approach, as required for risk assessment.<\/b><\/p><p><a style=\"background-color: #ffffff; font-size: 1rem;\" href=\"https:\/\/github.com\/ingeniarrisk\/CAPRA-ROBOT\" target=\"_blank\" rel=\"noopener\">CAPRA-ROBOT repository on GitHub<\/a><b style=\"font-style: inherit;\">\u00a0<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-c8718d1 grid-iconos-05 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c8718d1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-662a6ab\" data-id=\"662a6ab\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-930029f elementor-widget elementor-widget-heading\" data-id=\"930029f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Geological Hazards<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3470eaf elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"3470eaf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-9746059 grid-iconos-02  elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9746059\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-530801d\" data-id=\"530801d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-eeda47f elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"eeda47f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper   elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav  elementskit_tab_border_bottm elementskit_tab_border_bottm tab-nav-fluid\">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-6a39fae\">\n                        <a class=\"elementkit-nav-link  active show top-pos\" id=\"content-6a39fae6ac432453252f-tab\" data-ekit-handler-id=\"strong-motion-br-analyst\" data-ekit-toggle=\"tab\" data-target=\"#content-6a39fae6ac432453252f\" href=\"#Content-6a39fae6ac432453252f\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-6a39fae6ac432453252f\">\n                            <div class=\"ekit-icon-image\"><img fetchpriority=\"high\" decoding=\"async\" width=\"296\" height=\"320\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i1_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i1_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i1_1-278x300.png 278w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Strong Motion<br>Analyst<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-f611451\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-f6114516ac432453252f-tab\" data-ekit-handler-id=\"r-crisis\" data-ekit-toggle=\"tab\" data-target=\"#content-f6114516ac432453252f\" href=\"#Content-f6114516ac432453252f\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-f6114516ac432453252f\">\n                            <div class=\"ekit-icon-image\"><img decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i2_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i2_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i2_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> R-CRISIS<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-69fe82d\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-69fe82d6ac432453252f-tab\" data-ekit-handler-id=\"seismic-br-microzonation-studio\" data-ekit-toggle=\"tab\" data-target=\"#content-69fe82d6ac432453252f\" href=\"#Content-69fe82d6ac432453252f\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-69fe82d6ac432453252f\">\n                            <div class=\"ekit-icon-image\"><img decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i3_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i3_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i3_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Seismic<br>Microzonation Studio<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-22b1897\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-22b18976ac432453252f-tab\" data-ekit-handler-id=\"vhast-br-volcanic-hazard-\" data-ekit-toggle=\"tab\" data-target=\"#content-22b18976ac432453252f\" href=\"#Content-22b18976ac432453252f\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-22b18976ac432453252f\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"297\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i13_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i13_1.png 297w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i13_1-150x150.png 150w\" sizes=\"(max-width: 297px) 100vw, 297px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Vhast<br>(Volcanic Hazard)<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-1eb0aea\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-1eb0aea6ac432453252f-tab\" data-ekit-handler-id=\"landslide-br-hazard-mapper-\" data-ekit-toggle=\"tab\" data-target=\"#content-1eb0aea6ac432453252f\" href=\"#Content-1eb0aea6ac432453252f\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-1eb0aea6ac432453252f\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i14_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i14_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i14_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Landslide<br>Hazard Mapper\t <\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-6a39fae  active show\" id=\"content-6a39fae6ac432453252f\" role=\"tabpanel\"\n                         aria-labelledby=\"content-6a39fae6ac432453252f-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/sismos2.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>Strong Motion Analyst (SMA) is a seismic data processor that implements methodologies for signal processing, site effects analysis, attenuation models, and seismic catalogs.<\/strong><\/li><li>SMA implements several signal processing functions, including baseline correction, scaling, trimming, filtering, SDOF response, derivatives, integrals, energy, and decomposition (into a series of narrow-band components that sum to the original signal), among others. For spectral analysis, SMA computes the Fourier spectrum, response spectrum, spectral density, Husid plot, and energy flux diagram. The program supports the following operations between signals: transfer functions, cross-correlation, addition, subtraction, rotation, and principal components of motion. SMA also includes several tools for comparing recorded time histories and spectra, as well as batch processing features, and it can generate synthetic accelerograms using both the Boore (1983) stochastic model and the Bernal-Cardona (2017) hybrid model.<\/li><li>SMA computes the one-dimensional dynamic response of a soft soil profile using the nonlinear 1D method and the Thomson-Haskell propagator matrix. Results include surface accelerograms, response spectra, Fourier transfer functions, and response spectrum transfer functions. Results can be post-processed directly in the program or exported for further analysis. SMA can also compute attenuation relationships based on a source spectrum model.<\/li><li>The model can be configured to obtain region-specific functions where the seismic parameters that make up the model are known. The resulting attenuation models can be exported to a format compatible with CRISIS 2015. SMA performs residual analysis of any GMPE and calibrates strong-motion attenuation functions based on a source spectrum model. Finally, SMA includes a strong-motion database with accelerograms from two main sources: the Colombian National Strong Motion Network (operated by the Colombian Geological Survey) and the PEER NGA project.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-f611451 \" id=\"content-f6114516ac432453252f\" role=\"tabpanel\"\n                         aria-labelledby=\"content-f6114516ac432453252f-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/banner-articulo-ingeniar-crisis2015.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>R-CRISIS is the seismic and tsunami hazard module. It is a versatile tool for probabilistic seismic hazard analysis (PSHA).<\/strong><\/li><li>Since its first version was developed in 1998, CRISIS has been used in seismic hazard assessment projects around the world. Results obtained with R-CRISIS closely match the results deemed valid in the most recent edition of the PEER seismic hazard software validation project. R-CRISIS supports the following seismic source types: area-plane sources, area sources, line sources, smoothed seismicity, point sources, OpenQuake ruptures, and rectangular faults.<\/li><li>R-CRISIS implements different earthquake occurrence models, such as characteristic earthquake, non-Poissonian, and gridded (smoothed) seismicity. It supports a wide range of Ground Motion Prediction Models (GMPMs), currently incorporating more than 60, and also allows user-defined models. With this information, R-CRISIS produces the following outputs: hazard maps, uniform hazard spectra, M-R disaggregation, M-R-epsilon disaggregation, seismic scenarios\/ground motion maps, and event sets (CAPRA .AME file). Finally, R-CRISIS includes a module for tectonic tsunami hazard assessment.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-69fe82d \" id=\"content-69fe82d6ac432453252f\" role=\"tabpanel\"\n                         aria-labelledby=\"content-69fe82d6ac432453252f-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/seismic.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>SMS is a program for building geotechnical seismic response models to assess site effects in cities. It implements the microzonation approaches of Bernal (2014) and Bernal-Cardona (2015).<\/strong><\/li><li>The SMS seismic response model is built sequentially, in the following steps: 1) Geometry: input of 3D geometric models of geological formations; 2) Field data: field exploration data with geotechnical information obtained from laboratory tests; 3) Geotechnical properties: depth-dependent definition of the geotechnical properties associated with each geological formation; 4) Seismic records: strong motions for the response analysis of soft soil deposits (based on real accelerograms or theoretical Fourier spectra); 5) Calculation sites: definition of the calculation sites (the program generates synthetic stratigraphies at these locations); 6) Response analysis: setup and calculation of the dynamic soil response at the defined locations, based on the previously entered information; 7) Export: several export tools are included; 8) Post-processing: tools for defining the elastic design spectrum based on the seismic response and hazard results. Uniform hazard spectra can be harmonized with any of the design spectrum formulations supported by the program (including ACI, IBC, Eurocode, and ASCE).<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-22b1897 \" id=\"content-22b18976ac432453252f\" role=\"tabpanel\"\n                         aria-labelledby=\"content-22b18976ac432453252f-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/vhast.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>VHAST (Volcanic Hazard Analysis and Simulation Tool) implements a probabilistic hazard assessment approach based on eruption simulation.<\/strong><\/li><li>Based on a volcano&#8217;s eruptive history, an eruption magnitude is defined for each volcanic product, and the annual magnitude exceedance rate is calculated. Exceedance rates represent the number of times per year that a given magnitude value is equaled or exceeded in an eruption.<\/li><li>For each magnitude, intensity parameters are defined (which determine the final reach of the volcanic products). Each intensity parameter is modeled as a random variable, allowing a large number of stochastic eruptions to be simulated for each magnitude value. Each simulation yields a geographic distribution of volcanic products in terms of gridded random variables. VHAST implements methodologies for assessing lahars, lava flows, pyroclastic density currents (PDCs), and rockfall within the event-based probabilistic approach.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-1eb0aea \" id=\"content-1eb0aea6ac432453252f\" role=\"tabpanel\"\n                         aria-labelledby=\"content-1eb0aea6ac432453252f-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/landslide.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>The Landslide Hazard Mapper (LHM) provides tools for probabilistic landslide hazard assessment.<\/strong><\/li><li>In LHM, landslide hazard is divided into two main components: landslide susceptibility and triggering factors. Landslide susceptibility measures the likelihood of a landslide occurring at each location, based on intrinsic site characteristics such as slope, soil conditions, and vegetation cover, among others. This is a &#8220;static&#8221; measure of hazard, since it is calculated from the current state of a site that has not necessarily experienced landslides.<\/li><li>This assessment uses a black-box model in which an artificial neural network (ANN) is trained to classify each site as susceptible or not (in terms of its probability of being susceptible) as a function of the intrinsic characteristics mentioned above.<\/li><li>Triggering factors are related to actions external to the site&#8217;s static conditions. They are given as a set of seismic or rainfall events, with thresholds defined for both seismic acceleration and rainfall intensity. LHM calculates the probability of exceeding these thresholds given the occurrence of a triggering event, and then calculates the landslide probability for each site.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-16051ba elementor-widget elementor-widget-heading\" data-id=\"16051ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Hydrometeorological Hazards<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb74231 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"cb74231\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-fa2f9e6 grid-iconos-02  elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fa2f9e6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-ac095c8\" data-id=\"ac095c8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b94b7bd elementor-widget elementor-widget-heading\" data-id=\"b94b7bd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Exposure and Vulnerability<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89b5d73 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"89b5d73\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aae9b8e elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"aae9b8e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper   elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav  elementskit_tab_border_bottm elementskit_tab_border_bottm tab-nav-fluid\">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-6a39fae\">\n                        <a class=\"elementkit-nav-link  active show top-pos\" id=\"content-6a39fae6ac4324534eac-tab\" data-ekit-handler-id=\"stochastic-br-analystrainfall-modeler\" data-ekit-toggle=\"tab\" data-target=\"#content-6a39fae6ac4324534eac\" href=\"#Content-6a39fae6ac4324534eac\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-6a39fae6ac4324534eac\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i4_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i4_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i4_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Stochastic<br>AnalystRainfall Modeler<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-f611451\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-f6114516ac4324534eac-tab\" data-ekit-handler-id=\"flood-analyst\" data-ekit-toggle=\"tab\" data-target=\"#content-f6114516ac4324534eac\" href=\"#Content-f6114516ac4324534eac\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-f6114516ac4324534eac\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i5_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i5_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i5_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Flood Analyst<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-69fe82d\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-69fe82d6ac4324534eac-tab\" data-ekit-handler-id=\"drought-pro\" data-ekit-toggle=\"tab\" data-target=\"#content-69fe82d6ac4324534eac\" href=\"#Content-69fe82d6ac4324534eac\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-69fe82d6ac4324534eac\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i6_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i6_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i6_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Drought Pro<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-1eb0aea\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-1eb0aea6ac4324534eac-tab\" data-ekit-handler-id=\"tchm-ciclones-tropicales-\" data-ekit-toggle=\"tab\" data-target=\"#content-1eb0aea6ac4324534eac\" href=\"#Content-1eb0aea6ac4324534eac\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-1eb0aea6ac4324534eac\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i7_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i7_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i7_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> TCHM (Ciclones tropicales)<\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-6a39fae  active show\" id=\"content-6a39fae6ac4324534eac\" role=\"tabpanel\"\n                         aria-labelledby=\"content-6a39fae6ac4324534eac-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/stochastic.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>SRM is the CAPRA rainfall module. It is based on the spatial analysis of rainfall patterns in a region, in terms of PADF curves.<\/strong><\/li><li>The goal is to establish the relationship between the maximum mean rainfall depth (P), the area (A) over which rain falls, the duration (D) of the rainfall, and the frequency (F) with which an event with those depth, spatial coverage, and duration characteristics occurs.<\/li><li>In addition, historical isohyets are analyzed to define typical spatial distribution patterns of rainfall events, which makes it possible to determine the preferential locations of these patterns within the study area. With these components (i.e., PADF curves, typical patterns, and preferential locations), SRM can generate synthetic rainfall events. The results generated by SRM are compatible with both the landslide module and the hydrological model for riverine flood hazard.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-f611451 \" id=\"content-f6114516ac4324534eac\" role=\"tabpanel\"\n                         aria-labelledby=\"content-f6114516ac4324534eac-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/flood-analyst.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>Flood Analyst (FA) is the CAPRA flood hazard module.<\/strong> In FA, the hydrological response of the river basin is modeled using the modified Clark model (ModClark), which accounts for the translation and attenuation processes of runoff transformation. In the ModClark approach, the basin is rasterized, and each pixel is modeled using the original Clark model and a specific travel time to the basin outlet. The hydrographs contributed by each pixel are then consistently summed to obtain the output of the hydrological model.<\/li><li>The FA hydraulic engine is HEC-RAS 5 (US Army Corps of Engineers, 2015), a widely used software for river hydraulic analysis. HEC-RAS version 5 allows coupling of 1D and 2D hydraulic models, as well as flood mitigation works such as levees. FA automates HEC-RAS runs so that the hydrographs obtained from the basin response to each stochastic storm (calculated in SRM) are used as input to the hydraulic model. Once HEC-RAS completes the hydraulic analysis, FA collects the results and builds a flood scenario for each input storm.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-69fe82d \" id=\"content-69fe82d6ac4324534eac\" role=\"tabpanel\"\n                         aria-labelledby=\"content-69fe82d6ac4324534eac-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/sequia3.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>Drought Pro is the CAPRA module for probabilistic drought risk assessment in the agricultural sector.<\/strong><\/li><li>Hazard is modeled from historical precipitation and temperature records, using a stochastic climate generator that produces thousands of simulations. From the simulated climate, hundreds of synthetic droughts are identified using different drought indices, and integrated hazard maps are generated.<\/li><li>The exposure database contains the location, crop type and seasonality, area, yield, and production cost of each cultivated unit. For livestock, grassland data (location and quality) and herd data (number of animals and physical characteristics) are included to estimate the difference between dry matter demand and grass availability.<\/li><li>Crop vulnerability is calculated as the difference between optimal yield (with no water or nutrient restrictions) and yield under water deficit. For this purpose, Drought Pro uses AquaCrop .NET, a crop water response engine developed by INGENIAR based on AquaCrop-OS (Foster et al., 2017). Risk is quantified in terms of economic losses due to yield reduction, following the framework of ruin theory. Outputs include the Loss Exceedance Curve (LEC), Average Annual Loss (AAL), Probable Maximum Loss (PML), and risk maps. Climate change scenarios can also be incorporated.<\/li><li>\u00a0<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-1eb0aea \" id=\"content-1eb0aea6ac4324534eac\" role=\"tabpanel\"\n                         aria-labelledby=\"content-1eb0aea6ac4324534eac-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/banner-articulo-ingeniar-tchm_0.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>TCHM (Tropical Cyclone Hazard Modeler) is the CAPRA module for tropical cyclone hazard.<\/strong><\/li><li>It implements calculation methodologies for strong winds, storm surge, and accumulated rainfall. In TCHM, a large number of cyclones are stochastically generated with a model based on historical records, in order to estimate future hazard conditions from potential tropical cyclones across an entire country or region. TCHM follows a hybrid simulation approach, in which a large number of cyclone tracks are generated by perturbing historical tracks using random walk techniques.<\/li><li>The randomly generated tracks are then modified by incorporating an equilibrium model that accounts for the parameters of the ocean-atmosphere systems that influence the life cycle of a tropical cyclone. This approach makes it possible to properly simulate the intensification and weakening of tropical cyclones as they move along the random tracks.<\/li><li>Once the set of tracks has been defined for the hazard model (usually including both historical and simulated tracks), the effects of these cyclones must be assessed at the local scale. These effects are strong winds, storm surge, and heavy rainfall. To assess the effects of a tropical cyclone at a specific site, TCHM uses physics-based models, meaning it can model the physical parameters involved in the life cycle of tropical cyclones.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b67883 elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"2b67883\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper   elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav  elementskit_tab_border_bottm elementskit_tab_border_bottm tab-nav-fluid\">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-6a39fae\">\n                        <a class=\"elementkit-nav-link  active show top-pos\" id=\"content-6a39fae6ac4324536459-tab\" data-ekit-handler-id=\"exposure-editor\" data-ekit-toggle=\"tab\" data-target=\"#content-6a39fae6ac4324536459\" href=\"#Content-6a39fae6ac4324536459\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-6a39fae6ac4324536459\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"295\" height=\"295\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i8_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i8_1.png 295w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i8_1-150x150.png 150w\" sizes=\"(max-width: 295px) 100vw, 295px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Exposure editor<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-f611451\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-f6114516ac4324536459-tab\" data-ekit-handler-id=\"vulnerability-studio\" data-ekit-toggle=\"tab\" data-target=\"#content-f6114516ac4324536459\" href=\"#Content-f6114516ac4324536459\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-f6114516ac4324536459\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i9_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i9_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i9_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> Vulnerability Studio<\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-6a39fae  active show\" id=\"content-6a39fae6ac4324536459\" role=\"tabpanel\"\n                         aria-labelledby=\"content-6a39fae6ac4324536459-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/exposure-editor.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>The description, characterization, and valuation of the physical inventory of exposed elements for probabilistic risk assessment has been, in every case and at any scale, a highly challenging process for modeling.<\/strong><\/li><li>Drawing on the law of large numbers, characterizations and assessments have been carried out on the assumption that errors are offset in the final results when a large number of exposed assets is included.<\/li><li><strong>Exposure Editor<\/strong> provides tools for creating geographic exposure databases. Data are stored in a relational database that includes both the attributes and the geometry of the elements.<\/li><li>Exposure Editor supports connections to Oracle 10g and PostgreSQL. Exposure data can be entered and edited directly in the program, either element by element or in groups; the program interprets these data and displays them as map layers. Exposure Editor has basic Geographic Information System (GIS) capabilities, allowing users to navigate the map and query information from visible layers. Exposure databases can be exported to shapefiles (.shp) for further processing in a GIS.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-f611451 \" id=\"content-f6114516ac4324536459\" role=\"tabpanel\"\n                         aria-labelledby=\"content-f6114516ac4324536459-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/vulnerability.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>For probabilistic risk assessment, the vulnerability of exposed elements is modeled using mathematical functions that relate hazard intensity to direct physical impacts.<\/strong><\/li><li>These functions are called vulnerability functions and must be estimated (or assigned from existing databases) for each building class identified in the exposure database. Vulnerability functions are characterized by the variation of the statistical moments of relative loss with hazard intensity. This allows the loss probability distribution to be estimated for each intensity level.<\/li><li><strong>Vulnerability Studio<\/strong> is specialized software for creating and editing vulnerability functions. It implements methods for creating vulnerability functions for different hazard intensities, such as strong ground motion, strong winds (cyclones), coastal water level rise (from storm surge or tsunami), pyroclastic flow dynamic pressure, ashfall thickness, and flood depth.<\/li><li>For earthquakes, Vulnerability Studio supports different methodologies for creating vulnerability functions: the methods proposed in ATC-13 (Earthquake Damage Evaluation Data for California; ATC, 1985), the capacity spectrum method, fragility curves, and lognormal functions. It can create vulnerability functions for both physical and human losses. In addition, Vulnerability Studio includes a database with all the vulnerability functions used in the Global Risk Model of UNISDR&#8217;s GAR 2013, GAR 2015, and GAR Atlas 2017. An internet connection is required to access this database. All vulnerability functions stored in the database can be edited within the program.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-c9aa91e grid-iconos-02  elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c9aa91e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-6cddeae\" data-id=\"6cddeae\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-708e65a elementor-widget elementor-widget-heading\" data-id=\"708e65a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Risk Assessment<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65af7cf elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"65af7cf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-caa479b elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"caa479b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper   elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav  elementskit_tab_border_bottm elementskit_tab_border_bottm tab-nav-fluid\">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-6a39fae\">\n                        <a class=\"elementkit-nav-link  active show top-pos\" id=\"content-6a39fae6ac4324538664-tab\" data-ekit-handler-id=\"capra-grm\" data-ekit-toggle=\"tab\" data-target=\"#content-6a39fae6ac4324538664\" href=\"#Content-6a39fae6ac4324538664\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-6a39fae6ac4324538664\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i10_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i10_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i10_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> CAPRA -GRM<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-f611451\">\n                        <a class=\"elementkit-nav-link  top-pos\" id=\"content-f6114516ac4324538664-tab\" data-ekit-handler-id=\"evho-br-holistic-risk-assessment-\" data-ekit-toggle=\"tab\" data-target=\"#content-f6114516ac4324538664\" href=\"#Content-f6114516ac4324538664\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-f6114516ac4324538664\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i11_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i11_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i11_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> EvHo<br>(Holistic Risk Assessment)<\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-6a39fae  active show\" id=\"content-6a39fae6ac4324538664\" role=\"tabpanel\"\n                         aria-labelledby=\"content-6a39fae6ac4324538664-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/exposure-editor.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>CAPRA-GRM is the CAPRA calculation engine. It calculates the Loss Exceedance Curve (LEC) for any exposure database, for any of the hazards included in the model, using a probabilistic approach. CAPRA-GRM does not rely on simulation approaches (such as Monte Carlo) but on analytical solutions for loss exceedance rates.<\/strong><\/li><li>CAPRA-GRM can aggregate losses from different hazards into a multi-hazard result. In addition to the LEC, CAPRA-GRM also calculates the Average Annual Loss (AAL) and the Probable Maximum Loss (PML) for portfolio analysis. The AAL is also calculated element by element.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-f611451 \" id=\"content-f6114516ac4324538664\" role=\"tabpanel\"\n                         aria-labelledby=\"content-f6114516ac4324538664-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/banner-articulo-ingeniar-evho2.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>The holistic approach to risk assessment developed by Cardona and Carre\u00f1o has been widely used to incorporate socioeconomic aspects into risk assessment.<\/strong><\/li><li>Within the holistic approach (and within <strong>EvHo<\/strong>), physical risk (calculated with CAPRA-GRM) is only one part of the problem.<\/li><li>The other part is defined in terms of social, political, environmental, and human development factors that exacerbate the vulnerability of communities or economic sectors, aggravating disaster conditions beyond what physical risk alone reveals. EvHo implements holistic approach methodologies and applies Moncho&#8217;s equation to quantify total risk, working as a CAPRA-GRM post-processor to provide a comprehensive, holistic view of risk from other perspectives.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-ebdbb3c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ebdbb3c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-07a7437\" data-id=\"07a7437\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-973fc8f elementor-widget elementor-widget-heading\" data-id=\"973fc8f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Management<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7293d9c elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"7293d9c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a9b4f29 elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"a9b4f29\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper   elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav  elementskit_tab_border_bottm elementskit_tab_border_bottm tab-nav-fluid\">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-6a39fae\">\n                        <a class=\"elementkit-nav-link  active show top-pos\" id=\"content-6a39fae6ac432453a661-tab\" data-ekit-handler-id=\"filecat-\" data-ekit-toggle=\"tab\" data-target=\"#content-6a39fae6ac432453a661\" href=\"#Content-6a39fae6ac432453a661\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-6a39fae6ac432453a661\">\n                            <div class=\"ekit-icon-image\"><img loading=\"lazy\" decoding=\"async\" width=\"296\" height=\"296\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i12_1.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i12_1.png 296w, https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/tab-i12_1-150x150.png 150w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/><\/div>                            <span class=\"elementskit-tab-title\"> FileCAT\t<\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-6a39fae  active show\" id=\"content-6a39fae6ac432453a661\" role=\"tabpanel\"\n                         aria-labelledby=\"content-6a39fae6ac432453a661-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p><img decoding=\"async\" class=\"aligncenter img-serv-tab\" src=\"https:\/\/ingeniar-risk.com\/wp-content\/uploads\/2024\/08\/file-cat.jpg\" \/><\/p><ul style=\"columns: 2; list-style: none;\"><li><strong>FileCAT provides information management tools for the entire CAPRA software suite.<\/strong><\/li><li>It allows users to catalog, organize, and preview files of any type quickly and easily. Since many of the file formats used in the CAPRA package are platform-specific, FileCAT includes preview functions for them.<\/li><li>In addition to CAPRA formats, FileCAT supports different file types, such as documents (PDF, MS Office files, HTML), images (PNG, BMP, JPG, EMF), CAD (DWG, DXF), and multimedia (AVI, WMV, MP4, MP3), among others. FileCAT also includes a toolbox with a set of Windows applications that are very useful for running small processes and converting file formats.<\/li><\/ul>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>CAPRA Robot is the risk calculation engine of the CAPRA platform. This tool estimates the Loss Exceedance Curve (LEC) for any exposure database, across multiple hazards, using a probabilistic approach. It relies on analytical solutions to calculate loss exceedance rates. It can also aggregate losses [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":2086,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-2098","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/pages\/2098","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/comments?post=2098"}],"version-history":[{"count":15,"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/pages\/2098\/revisions"}],"predecessor-version":[{"id":2732,"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/pages\/2098\/revisions\/2732"}],"up":[{"embeddable":true,"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/pages\/2086"}],"wp:attachment":[{"href":"https:\/\/ingeniar-risk.com\/en\/wp-json\/wp\/v2\/media?parent=2098"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}