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D9: International Session on Flood Modeling

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Description

1) Do recent advancements in 2D capabilities make 1D models obsolete?
Bo Juza, PhD, CFM, TUFLOW, bo.juza@bmtglobal.com
Co-presenters: Rusty Jones, russell.jones@bmtglobal.com; Chris Huxley, chris.huxley@bmtglobal.com

Abstract: Over past decades, advancements in Graphics Procession Unit (GPU) capabilities and relatively low costs have made them uniquely suited for parallel processing, significantly reducing runtime and increasing capabilities to process large datasets. Since the early 70’s, numerical models have been used for flood and coastal studies, facing struggles between data availability, processing speed, project scale, numerical schema capabilities, model stability and other factors that influenced overall 1D, 2D or 3D schematization. While 1D models are still the backbone of large-scale flood modeling and real time forecasting, 2D models have become tools of choice for most flood inundation mapping and complex hydrodynamic modeling projects. The grid or element sizes used for a 2D hydraulic model can have a major bearing on the accuracy and defensibility of the model. Wrong schematization of the system could have a significant impact on project outcomes. If the 2D cell sizes are too coarse, the physical terrain and hydraulic complexity may be poorly represented leading to unacceptable inaccuracies and a high degree of uncertainty in the results. Conversely, 2D cell sizes that are unnecessarily fine result in excessively long simulation times and workflow inefficiencies, impacting project schedule and cost. Models that can experience the most acute inaccuracies due to mesh resolution are whole of catchment direct rainfall or rain-on-grid models, and riverine and urban surface water flood models where the primary flow paths are modeled using an overly coarse 2D resolution. This can cause substantial retention of water and poor conveyance as the flows down the waterways. Examples of various mesh size convergence tests for first order, second order and sub-grid sampled 2D schemes are discussed and presented. Comparison to 1D and 1D+ complex model schematization is being considered.

2) Inland to Coastal Flooding and Everything in Between: A Perspective from Caribbean Islands
Felix Santiago Collazo, University of Georgia, fsantiago@uga.edu
Co-presenters: Luis Cordova-Lopez; Walter F. Silva-Araya

Abstract: Coastal watersheds are prone to the impacts of multiple flood hazards during compound flood events. These events can produce inundation from intense and prolonged rainfall and inland penetration of storm surges, thus exacerbating the flood hazard. The Caribbean Region is particularly sensitive to this combination of events due to frequent cyclonic events affecting small and steep coastal watersheds. Current practices have started to implement multi-hazard modeling techniques for inundation assessments. However, there are discrepancies on the “best” strategy to characterize compound floods, and the use of multi-hazard models in government agencies and consulting engineering firms has not been widely implemented. This presentation will highlight the best modeling practices for compound flood models that couple hydrologic and coastal processes. New modeling techniques and applications will be discussed that improve our ability to capture the complex interactions that characterize multiple flood hazards. Results from various case studies along the Caribbean will be discussed, including their application to other geographical areas such as the Gulf of Mexico and the US East coast. This research aim is to identify generalized flood transition zones and enhance the production of flood maps for varying regions in a coastal watershed, which are crucial in flood risk assessments. The desire is a more holistic compound inundation model that can be a critical tool for decision-makers, stakeholders, and authorities by providing aid in disaster and evacuation planning to potentially save human lives and decrease property damage.

3) A Fast and Flexible Framework for Flood Damage Assessments
Frederique de Groen, Deltares, frederique.degroen@deltares.nl
Co-presenters: Kathryn Roscoe, Kathryn.Roscoe@deltares.nl

Abstract: Societies are struggling worldwide to cope with the impacts of many types of floods (pluvial, fluvial, flash, coastal, and groundwater). Recent improvements to process-based hydrodynamic models, including the ability to account for compound flooding events, has led to more accurate inundation predictions. Combining these improved inundation results with a rapid, reliable, and easy-to-use tool for assessing economic flood damages will lead to more accurate mapping of spatial flood risk, helping to identify priority areas for adaptation and mitigation investments. This presentation will describe the Delft Flood Impact Assessment Tool (Delft-FIAT), a state-of-the-art tool that calculates flood damages, risk, and risk-reduction benefits of adaptation or mitigation options. Delft-FIAT is flexible and transparent, allowing users to input their own flood maps and to define, view, and modify exposure data and depth-damage curves. It calculates damages at the asset level, including individual buildings, road segments, and utilities, and it outputs damages both at asset level and to user-specified aggregation scales (e.g., neighborhoods). The speed, flexibility, and tested reliability of Delft-FIAT makes it well suited for a variety of uses, such as evaluating adaptation and mitigation investment options, testing impacts of uncertainty in depth-damage curves or exposure data, and connecting with other software in decision-support systems. Delft-FIAT provides a consistent and reliable flood damage calculation framework that can be freely used in the flood mitigation and adaptation community. Collaboration with local, regional, state, national, and international agencies has inspired a research and development plan for Delft-FIAT that includes the processing of social vulnerability in damage assessments, automated uncertainty analysis, supporting wind and wave damage assessment, automated exposure model-building support, and automatically generated damage-output scorecards or dashboards. This presentation is intended to be interactive in exploring ideas for future development with the participants.

Contributors

  • Bo Juza

    Dr. Juza has more than 25 years of experience in water resource and management field. Including coastal, riverine and urban hydrodynamic modeling. In past he worked as project and program manager on implementation of large-scale hydrological and groundwater modeling, rainfall runoff and flood forecasting, using 1D, 2D and 3D models. In addition to technical skills, Dr. Juza has deep knowledge and experience supporting federal agencies and local communities in pre and post disaster planning and management. Moreover, he served as International Committee co-chair for ASFPM. (2010-2018). At present he is serves as North America Lead for TUFLOW supporting clients in US and Canada.

  • Felix Santiago Collazo

    Félix Santiago-Collazo is an Assistant Professor in Resilient Infrastructure for Sustainability and Equity at the School of Environmental, Civil, Agriculture, and Mechanical Engineering at the University of Georgia. Felix holds an M.S. and B.S. in Civil Engineering from the University of Puerto Rico at Mayagüez and a Ph.D. in Civil Engineering from Louisiana State University. Felix has a Professional Engineer (P.E.) license from the Puerto Rico Board and has more than eight years of experience in flood modeling. Felix’s research interests include Multi-flood hazard assessments, Hybrid infrastructure solutions, Water equity, and Flood Resilience. He leads the Compound Inundation Team for Resilient Applications (CITRA) research lab, which develops and implements practical solutions to complex flood problems from inland to the coast. The CITRA Lab motto is the nexus between research and application. Felix enjoys spending time with his wife and two children, watching sports, biking, and walking his dog in his free time.

  • Frederique de Groen

    Frederique de Groen is an expert on the quantification of natural hazard impact assessments and modelling human responses. She is involved in the continuous development of Delft-FIAT, RA2CE and the Criticality Tool, which are used to assess natural hazard impacts on buildings, road networks and critical infrastructures. Her interest also lies in the connection of the physical with the social, using for example Agent-Based Modelling to investigate human responses to climate change effects. With these kinds of methods, she contributes to a new research track within Deltares aiming at improving the understanding of relocation as adaptation strategy in coastal areas.