{"668312":{"#nid":"668312","#data":{"type":"event","title":"PhD Defense by Youngjun Son","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of Civil and Environmental Engineering\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPh.D. Thesis Defense Announcement\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA Scalable and Adaptable Coastal-Urban Flood Modeling Framework for Changing Climate\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBy\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp;Youngjun Son\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAdvisor(s):\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. Emanuele Di Lorenzo (EAS) and Dr. Jian Luo (CEE)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECommittee Members:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. Kevin Haas (CEE), Dr. Joseph Montoya (BIOS), and Dr. Matthew Bilskie (University of Georgia)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDate and Time:\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026nbsp; July 17, 2023, 09:00 AM Eastern Time\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ELocation:\u0026nbsp;Ford ES\u0026amp;T L1114 and Zoom \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/91649013179\u0022\u003E\u003Cspan\u003Ehttps:\/\/gatech.zoom.us\/j\/91649013179\u003C\/span\u003E\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECoastal communities in the United States are threatened by a diverse range of flood risks, such as high\u003Cbr \/\u003E\r\ntides, storm surges, heavy rainfall, and groundwater floods. In addition, global climate change further\u003Cbr \/\u003E\r\nexacerbates the severity and frequency of floods by raising sea levels and intensifying extreme weather\u003Cbr \/\u003E\r\nevents. Urban flood models are vital for coastal communities to effectively assess the emerging risks of\u003Cbr \/\u003E\r\nfloods and prepare resilience strategies in response to changing climates.\u003Cbr \/\u003E\r\nIn the present research, a flood modeling framework is developed for applications in coastal-urban\u003Cbr \/\u003E\r\nsystems. The framework introduces an accessible urban flood model for coastal applications, called WRFHydro-\u003Cbr \/\u003E\r\nCUFA, which combines two open-source models, namely WRF-Hydro and SWMM. In a pilot study\u003Cbr \/\u003E\r\nfor the City of Tybee Island in Georgia, USA, the WRF-Hydro-CUFA model simulations successfully\u003Cbr \/\u003E\r\nreproduce two distinct flood events: nuisance flooding caused by the perigean spring tides in 2012 and\u003Cbr \/\u003E\r\nextreme flooding resulting from Hurricane Irma in 2017. Furthermore, a web-based dashboard is built for\u003Cbr \/\u003E\r\noperational flood predictions, integrating modeling information and existing flood-related resources, such as\u003Cbr \/\u003E\r\nreal-time camera feeds and nearby water level measurements. The platform aims to facilitate the\u003Cbr \/\u003E\r\nintegration of flood-related knowledge and observations from researchers, local experts, and community\u003Cbr \/\u003E\r\npractitioners. To leverage the ongoing deployments of hyper-local water level sensors along the U.S.\u003Cbr \/\u003E\r\nGeorgia coasts, the flood modeling framework includes the development of a physics-based empirical\u003Cbr \/\u003E\r\nmodeling approach to assimilate estuarine water levels directly using the sensor observations. The physicsbased\u003Cbr \/\u003E\r\nempirical modeling approach implements the Objective Analysis procedure, which combines\u003Cbr \/\u003E\r\nempirical observations from the water level monitoring network with spatial covariance statistics derived\u003Cbr \/\u003E\r\nfrom physics-based model simulations. The efficient assimilation of coastal water levels enables community\u003Cbr \/\u003E\r\nofficials to reliably identify localized flood threats, particularly to critical infrastructures in coastal regions,\u003Cbr \/\u003E\r\nsuch as bridges and marinas.\u003Cbr \/\u003E\r\nThe established flood modeling framework provides coastal communities with an accessible option to\u003Cbr \/\u003E\r\nunderstand emerging flood risks, which can empower them to identify effective and sustainable resilience\u003Cbr \/\u003E\r\nstrategies informed by scientific insights.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA Scalable and Adaptable Coastal-Urban Flood Modeling Framework for Changing Climate\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A Scalable and Adaptable Coastal-Urban Flood Modeling Framework for Changing Climate"}],"uid":"27707","created_gmt":"2023-06-30 18:41:23","changed_gmt":"2023-06-30 18:41:23","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-07-17T09:00:00-04:00","event_time_end":"2023-07-17T11:00:00-04:00","event_time_end_last":"2023-07-17T11:00:00-04:00","gmt_time_start":"2023-07-17 13:00:00","gmt_time_end":"2023-07-17 15:00:00","gmt_time_end_last":"2023-07-17 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":" Ford ES\u0026T L1114 and Zoom ","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}