{"id":18632,"date":"2024-01-09T00:00:00","date_gmt":"2024-01-09T06:00:00","guid":{"rendered":"https:\/\/ewn.erdc.dren.mil\/?post_type=engagements&#038;p=18632"},"modified":"2024-03-29T15:57:42","modified_gmt":"2024-03-29T20:57:42","slug":"n-ewn-seminar-real-time-cloud-based-hydraulic-modeling-with-ras","status":"publish","type":"engagements","link":"https:\/\/ewn.erdc.dren.mil\/engagements\/event\/n-ewn-seminar-real-time-cloud-based-hydraulic-modeling-with-ras\/","title":{"rendered":"N-EWN Seminar: Real-time, Cloud-based Hydraulic Modeling with HEC RAS using the Dam Screening Tool (DST)"},"content":{"rendered":"\n<p>Natural and Nature-Based Features (NNBF) are increasingly recognized as flood risk management solutions that can provide environmental, social, and economic benefits.&nbsp; However, there are few planning-level tools available for screening NNBF for flood risk management projects.&nbsp; The Dam Screening Tool (DST) is a web-based tool developed by the United States Army Corps of Engineers (USACE) Risk Management Center (RMC) to provide a rough estimate of inundation and potential life loss associated with flood events and dam failure.&nbsp; The DST can be used to provide a screening-level estimate of flood risk and life loss reduction benefits of NNBF.&nbsp; The nationally applicable tool uses publicly available data, including topography, land cover, and structure inventory, to estimate basic information about flood risk outcomes. A DST analysis consists of a simplified hydraulic model with 2D HEC-RAS and a simplified consequence model with LifeSim.&nbsp; The creation, execution, and post-processing of the models is completely automated and performed in the cloud.&nbsp; Model inputs are customizable within the web-based interface, which allows for flexibility in the scenarios that can be modeled.&nbsp; This webinar provides an overview of the web-based tool with focus on screening NNBF as flood risk management measures.&nbsp; DST may also be used for preliminary riverine or coastal flood risk analysis, emergency operations, or initial flood risk analysis for dam and levee breaches where no prior study exists.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/ewn.erdc.dren.mil\/wp-content\/uploads\/2024\/01\/N-EWN_Webinar_Announcement_2024-01_Menichino.pdf\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1000\" height=\"564\" src=\"https:\/\/ewn.erdc.dren.mil\/wp-content\/uploads\/2024\/01\/N-EWN_Webinar_Announcement_2024-01_Menichino-opt.jpg\" alt=\"Natural and Nature-Based Features (NNBF) are increasingly recognized as flood risk management solutions that can provide environmental, social, and economic benefits.  However, there are few planning-level tools available for screening NNBF for flood risk management projects.  The Dam Screening Tool (DST) is a web-based tool developed by the United States Army Corps of Engineers (USACE) Risk Management Center (RMC) to provide a rough estimate of inundation and potential life loss associated with flood events and dam failure.  The DST can be used to provide a screening-level estimate of flood risk and life loss reduction benefits of NNBF.  The nationally applicable tool uses publicly available data, including topography, land cover, and structure inventory, to estimate basic information about flood risk outcomes. A DST analysis consists of a simplified hydraulic model with 2D HEC-RAS and a simplified consequence model with LifeSim.  The creation, execution, and post-processing of the models is completely automated and performed in the cloud.  Model inputs are customizable within the web-based interface, which allows for flexibility in the scenarios that can be modeled.  This webinar provides an overview of the web-based tool with focus on screening NNBF as flood risk management measures.  DST may also be used for preliminary riverine or coastal flood risk analysis, emergency operations, or initial flood risk analysis for dam and levee breaches where no prior study exists.  \" class=\"wp-image-18749\" srcset=\"https:\/\/ewn.erdc.dren.mil\/wp-content\/uploads\/2024\/01\/N-EWN_Webinar_Announcement_2024-01_Menichino-opt.jpg 1000w, https:\/\/ewn.erdc.dren.mil\/wp-content\/uploads\/2024\/01\/N-EWN_Webinar_Announcement_2024-01_Menichino-opt-300x169.jpg 300w, https:\/\/ewn.erdc.dren.mil\/wp-content\/uploads\/2024\/01\/N-EWN_Webinar_Announcement_2024-01_Menichino-opt-768x433.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/a><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p>The Network for Engineering With Nature<sub>\u00ae<\/sub>&nbsp;(EWN) invites you to the N-EWN Knowledge Series: A Continuing Education Series about Engineering with Nature\u2014Real-time, Cloud-based Hydraulic Modeling with HEC RAS using the Dam Screening Tool (DST), with Garrett Menichino, PhD, PE, CFM, USACE-ERDC Environmental Laboratory. This 1-hour Zoom webinar took place January 18, 2024 at 12:30pm ET.<\/p>\n\n\n\n<p>For previously recorded seminars, please visit the&nbsp;<a href=\"https:\/\/ewn.erdc.dren.mil\/knowledge-series-seminars\/\">N-EWN Seminars page<\/a>.<\/p>\n","protected":false},"featured_media":0,"template":"","tags":[83,60],"event-types":[72],"class_list":["post-18632","engagements","type-engagements","status-publish","hentry","tag-n-ewn","tag-news","event-types-seminars"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>N-EWN Seminar: Real-time, Cloud-based Hydraulic Modeling with HEC RAS using the Dam Screening Tool (DST) - Engineering With Nature<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ewn.erdc.dren.mil\/engagements\/event\/n-ewn-seminar-real-time-cloud-based-hydraulic-modeling-with-ras\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"N-EWN Seminar: Real-time, Cloud-based Hydraulic Modeling with HEC RAS using the Dam Screening Tool (DST) - Engineering With Nature\" \/>\n<meta property=\"og:description\" content=\"Natural and Nature-Based Features (NNBF) are increasingly recognized as flood risk management solutions that can provide environmental, social, and economic benefits.&nbsp; However, there are few planning-level tools available for screening NNBF for flood risk management projects.&nbsp; The Dam Screening Tool (DST) is a web-based tool developed by the United States Army Corps of Engineers (USACE) [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ewn.erdc.dren.mil\/engagements\/event\/n-ewn-seminar-real-time-cloud-based-hydraulic-modeling-with-ras\/\" \/>\n<meta property=\"og:site_name\" content=\"Engineering With Nature\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-29T20:57:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ewn.erdc.dren.mil\/wp-content\/uploads\/2024\/01\/N-EWN_Webinar_Announcement_2024-01_Menichino-opt.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/ewn.erdc.dren.mil\\\/engagements\\\/event\\\/n-ewn-seminar-real-time-cloud-based-hydraulic-modeling-with-ras\\\/\",\"url\":\"https:\\\/\\\/ewn.erdc.dren.mil\\\/engagements\\\/event\\\/n-ewn-seminar-real-time-cloud-based-hydraulic-modeling-with-ras\\\/\",\"name\":\"N-EWN Seminar: Real-time, Cloud-based Hydraulic Modeling with HEC RAS using the Dam Screening Tool (DST) - 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