NICOP - High resolution nearshore wave and current modelling to investigate nonlinearwave effects on velocity profiles and sediment transport
Abstract
Waves rapidly change as they propagate onshore and break over submarine features such assandbars. These changes influence the wave" speed at the surface and wave motions at thebed, and are not well predicted using simple linear wave theory. In this project we wi"ll use ahigh resolution numerical model to simulate the propagation and transformation of wavesover nearshore morphology to determine the influence of nonlinear processes on wavestatistics at the sea surface and the seabed. The model will be used to simulate water motionfor the individual waves and solve the combined problem of sea surface position and wavevelocity. This innovative projec"t will lead to improved algorithms for estimating bathymetryfrom video-based wave speed, and better surface wave predictions using" a spectral wavemodel that drives simulations of sediment transport and morphology change. The model willbe applied at the US Army" Corps of Engineers Field Research Facility in Duck, NC, incombination with in situ and remotely sensed field observations. Ultimat""ely, a betterunderstanding of the nonlinear effects on wave transformation and sediment transport willimprove predictions of waves"" and sediment transport over bathymetric features inoperational forecasting models, and is especially important in the prediction o"f hazardousnearshore conditions.This project will directly benefit existing projects at the U.S. Naval Research Laboratory(NRL) and lead to: i) improved algorithms for estimating bathymetry from video-based wavespeed; and ii) better near-bottom velocity predictions that are used to drive simulations ofsediment transport and morphologic change. The goals of this project align with the NavalS&T Vision by conducting cutting-edge scientific research that will provide a decisivetechnological advantage for naval forces. The project will be led by Dr. Ryan Mulligan inthe Department of Civil Engineering at Queen~s University. The project will involve o"pencollaboration with Dr. Allison Penko at NRL, in order to achieve success of the project goalsand results be combined with exist"ing NRL base funded research projects led by Dr. Penko.Project outcomes will include statistical comparison with field data and oth"er numericalmodels and results will be disseminated as presentations at international conferences, as aMaster~s thesis, and as pub"lications in leading peer-reviewed academic journals.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 03, 2017
- Source ID
- N629091712169
Entities
People
- Ryan P. Mulligan
Organizations
- Office of Naval Research
- United States Navy