Coastal economies are often supported by activities that rely on commercial or recreational vessels to move people goods, such as shipping, transportation, cruising, and fishing. Unintentionally, frequent intense vessel traffic can contribute erosion of coastlines; this be particularly evident in sheltered systems where shoreline should minimal the absence boat waves. We reviewed state science known effects waves stability, examined data erosion, turbidity, armoring patterns for evidence a...

This study explores the use of Deep Convolutional Neural Network (DCNN) for semantic segmentation flood images. Imagery datasets urban flooding were used to train two DCNN-based models, and camera images test application models with real-world data. Validation results show that both extracted extent a mean F1-score over 0.9. The factors affected performance included still water surface specular reflection, wet road surface, low illumination. In testing, reduced visibility during storm...

Low-lying coastal cities across the world are vulnerable to combined impact of rainfall and storm tide. However, existing approaches lack ability model effect these flood mechanisms, especially under climate change sea level rise (SLR). Thus, increase resilience cities, modeling techniques improve understanding prediction hazards critical. To address this need, study presents a system for assessing on selected future scenarios that leverages ocean with land surface capable resolving urban...

Relative sea level rise increases the vulnerability of coastal infrastructure to storm surge flooding. In this study, we develop, validate, and apply a coupled hydrodynamic wave model simulate inundation under different local projections quantitatively assess some these vulnerabilities. Our study area is located in southeast Virginia, where rate relative highest US East Coast. The developed two levels nesting which region-scale with relatively low resolution provides boundary conditions for...

Abstract Flood risk analyses often focus on a single flooding source, typically storm surge or rainfall‐driven flooding, depending the predominant threat. However, hurricanes frequently cause compound through significant surges accompanied by heavy rainfall. This study employs hydrodynamic model based Delft3D‐Flexible Mesh that couples flow, waves, and flow to simulate five historical tropical cyclones in Virginia's southeast coastal region. These storms produced varying intensities of...

Abstract Hampton Roads is a populated area in the United States Mid-Atlantic region that highly affected by sea level rise (SLR). The transportation infrastructure increasingly disrupted storm surge and even minor flooding events. purpose of this study to improve our understanding SLR impacts on region. We develop hydrodynamic model vulnerability several critical flood-prone neighborhoods under projections. validated for tide prediction, its performance simulation with water data from...

A numerical model is extended to investigate the nonlinear dynamics of surface wave propagation over mud in presence currents. phase-resolving frequency-domain for wave-current interaction improved account modulations due viscoelastic arbitrary thickness. The compares well with published laboratory data and performs slightly better than viscous mud-induced damping mechanism. Monochromatic random simulations are conducted examine combined effect currents, dissipation modulation, wave-wave...

Hurricanes cause substantial inundation of transportation networks, rendering them inaccessible to emergency response vehicles. Because storm tides and heavy rainfall often co-occur during hurricanes, a reliable assessment roadway in coastal areas requires adequate representation both flood sources. This study serially coupled hydrodynamic surge model with two-dimensional for rainfall-driven flow quantify compound flooding region. The output this modeling approach is used as an input...

Abstract The complex process of surface wave propagation over areas cohesive sediments has generally been treated by assuming a particular rheological behavior for the mud layer, thereby fixing description characteristics into specification parameters relevant to selected rheology. capability inverting data recover these is investigated here. Representing layer as thin viscous fluid, nonlinear wave–mud interaction model, coupled with optimization technique (Levenberg–Marquardt), used deduce...

Coastal wetlands are among the natural features with capability to dissipate wave energy and reduce storm damage. Inadequate representation of vegetation characteristics in numerical models may their predicting processes over wetlands. Previous have typically applied simplifications on behavior. For instance, stems were usually assumed be rigid or semi-flexible thus extreme stem deflections could not captured. In this study, a time-domain nonlinear model based extended Boussinesq formulation...

Abstract Building flood resilience in coastal communities requires a precise understanding of the temporal and spatial scales inundation ability to detect predict changes flooding. In Hampton Roads, Intergovernmental Pilot Project's Scientific Advisory Committee recommended an integrated network ocean, earth, atmospheric data collection from both private public sector organizations that engage active scientific monitoring observing. Since its establishment, has grown include water levels,...

This study explores the use of Deep Convolutional Neural Network (DCNN) for semantic segmentation flood images. Imagery datasets urban flooding were used to train two DCNN-based models, and camera images test application models with real-world data. Validation results show that both extracted extent a mean F1-score over 0.9. The factors affected performance included still water surface specular reflection, wet road surface, low illumination. In testing, reduced visibility during storm...

Resonant interaction between one surface wave and two oblique interfacial waves is analyzed in a three dimensional system of finite-depth, two-layer fluid. A third order perturbation analysis carried out to obtain the evolution equations amplitudes. Taking amplitudes as small parameter, are solved simultaneously short long term behavior waves. In contrast second analysis, current shows that after an initial exponential growth period, stop growing stabilize. Furthermore, influences frequency,...

A third-order asymptotic analysis is conducted to study the three-dimensional resonant interaction between a monochromatic progressive surface wave and two oblique interfacial waves in an open, lightly viscous, two-layer fluid of intermediate depth. By solving evolution equations waves, short- long-term behaviors are studied. The provides correction second-order theory. results indicate that predicts much lower limit on growth than Furthermore, long term, viscous effects cause amplitudes...

Hybrid nature-based solutions (NbS) are constructed features that bring together natural and structural elements to attenuate wave energy while providing habitat functions. A major purpose of hybrid NbS is address shoreline erosion which depends on activity tidal currents. have been the subject many studies in recent years, particularly their performance terms attenuation. However, current sediment dynamics around not quantified well. Assessing hydrodynamics flow enables a better...