Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
13.4: Coastal flooding and storm surge (1)
Time:
Thursday, 12/Sept/2024:
11:15am - 12:15pm

Session Chair: Nobuhisa Kobayashi
Location: Room D - ANTARCTICUS

Ground floor of Pontificia Università Gregoriana - Piazza della Pilotta, 4

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Presentations
11:15am - 11:30am

Accuracy verification of a real-time prediction system for wave runup heights

Kazuki Himeno, Naoki Fukuhara, Fuminori Kato

National Institute for Land and Infrastructure Management, Japan

134-Himeno-Accuracy verification of a real-time prediction system.pdf


11:30am - 11:45am

Computational simulation set selection for storm surge surrogate modeling

Jennifer L. Irish1, Elsbeth Noe2, Christopher C. Bender3, Alireza Gharagozlou4, Michelle T. Bensi5, Jun-Whan Lee6

1Virginia Tech, United States of America; 2Virginia Tech, United States of America; 3Taylor Engineering, United States of America; 4Taylor Engineering, United States of America; 5University of Maryland, United States of America; 6University of Texas at Austin, United States of America

594-Irish-Computational simulation set selection for storm surge surrogate modeling.pdf


11:45am - 12:00pm

Quantification of chronic coastal flooding using machine learning

Ryan McCune1, Katherine Anarde1, Evan B. Goldstein2, Emma Rudy Srebnik3, Thomas Thelen1, Miyuki Hino3

1North Carolina State University, United States of America; 2Sediment, LLC, United States of America; 3University of North Carolina at Chapel Hill, United States of America

1002-McCune-Quantification of chronic coastal flooding using machine learning.pdf


12:00pm - 12:15pm

Development of an efficient Early Warning System for wave-induced flooding

Juan L. Garzon1, Oscar Ferreira1, Catarina Zozimo2, Liliana Pinheiro2, Juana Fortes2

1Centre for Marine and Environmental Research - CIMA, Portugal; 2National Laboratory for Civil Engineering

479-Garzon-Development of an efficient Early Warning System for wave-induced flooding.pdf