Monolithic Multiphysics Simulation of Compound Flooding

A Hybrid Framework for Rapidly Locating Transition Zones: A Comparison of Event‐ and Response‐Based Return Water Levels in the Suwannee River FL

“…With respect to the Suwannee River, its substantially shallower slope, at least compared to the Quillayute River, is likely the main reason for its longer transition zone. The length of the Suwannee’s transition zone is comparable to that estimated for the similarly flat Buffalo Bayou watershed, Texas during Hurricane Harvey (Stephens et al., 2022). Furthermore, along the U.S. West Coast, surge heights are restricted by the narrow continental shelf, limiting the upstream reach of the ocean's influence.…”

“…Hydraulic/hydrodynamic models have been used to identified transition zones during historical events (Eilander et al., 2022; Gori, Lin, & Smith, 2020; Stephens et al., 2022) and hypothetical scenarios based on past storms (Bilskie & Hagen, 2018; Santiago‐Collazo et al., 2021; Shen et al., 2019). At the catchment scale, hydraulic models such as the Hydrologic Engineering Center‐River Analysis System (HEC‐RAS) (HEC, 2002) provide robust estimates of along‐river water levels (Loveland et al., 2021).…”

“…Transition zones are stretches of river where extreme water levels can arise through the interaction of multiple drivers such as elevated river discharge, storm surge, and high tide (Bilskie & Hagen, 2018). Transition zones are likely to exist along rivers throughout the world and tend to be most dramatically revealed during catastrophic flood events, such as Hurricane Harvey (2017) where coincident heavy rainfall and surge flooded Houston and the surrounding area (Stephens et al., 2022; Valle‐Levinson et al., 2020). In January 2012, elevated inland water levels triggered precautionary evacuations in the northern Netherlands, as storm surges blocked gravity‐driven drainage for five consecutive low tides during a period of prolonged rainfall on an already saturated catchment (Santos, Casas‐Prat, et al., 2021; van den Hurk et al., 2015).…”

Probabilistic Flood Inundation Mapping through Copula Bayesian Multi-Modelling of Precipitation Products

“…It brought with it an approximate accumulated precipitation of over 1500 mm in the vicinity of Beaumont, TX, and resulted in estimated losses of 125 billion dollars based on the 2017 Consumer Price Index ( (Blake and Zelinsky, 2018)) Given the significance of this hurricane and the widespread damage it caused across the state of Texas, considerable efforts have been undertaken to model and quantify the extent and depths of the flooding it generated. Various approaches, including numerical hydrodynamic models (Huang et al, 2021;Jafarzadegan et al, 2021a;Muñoz et al, 2022;Noh et al, 2019;Saksena et al, 2020;Sebastian et al, 2021;Stephens et al, 2022;Valle-Levinson et al, 2020;Wing et al, 2019), as well as combinations of different methodologies or type of models have been employed (Chen et al, 2021(Chen et al, , 2022Dullo et al, 2021).…”

Predicting Compound Coastal Flooding in Embayment-Backed Urban Catchments: Seawall and Storm Drain Implications

“…Compound events have been identified as an international research priority by the World Climate Research Program (WCRP) Grand Challenge on Weather and Climate Extremes [9]. Compound flooding specifically considers coincident marine and hydrologic events and significantly impacts low-lying urban regions (e.g., [10,11]). Meteorological events (e.g., tropical cyclones, hurricanes) tend to produce wind-driven storm surges and intense precipitation at the coast.…”