American Society of Civil Engineers


Depth Inversion in the Surf Zone with Inclusion of Wave Nonlinearity Using Video-Derived Celerity


by Jeseon Yoo, (Senior Research Scientist, Climate Change and Coastal Disaster Research Dept., Korea Ocean Research and Development Institute, 1270 Sa-2-dong, Ansan 427-744, Korea; formerly, School of Civil and Environmental Eng., Georgia Institute of Technology, 210 Technology Circle, Savannah, GA 31407. E-mail: jyoo@kordi.re.kr), Hermann M. Fritz, (corresponding author), M.ASCE, (Associate Professor, School of Civil and Environmental Eng., Georgia Institute of Technology, 210 Technology Circle, Savannah, GA 31407 E-mail: fritz@gatech.edu), Kevin A. Haas, M.ASCE, (Associate Professor, School of Civil and Environmental Eng., Georgia Institute of Technology, 210 Technology Circle, Savannah, GA 31407. E-mail: khaas@gatech.edu), Paul A. Work, M.ASCE, (Associate Professor, School of Civil and Environmental Eng., Georgia Institute of Technology, 210 Technology Circle, Savannah, GA 31407. E-mail: paul.work@gtsav.gatech.edu), and Christopher F. Barnes, (Associate Professor, School of Electrical and Computer Eng., Georgia Institute of Technology, 210 Technology Circle, Savannah, GA 31407. E-mail: chris.barnes@gatech.edu)

Journal of Waterway, Port, Coastal and Ocean Engineering, Vol. 137, No. 2, March/April 2011, pp. 95-106, (doi:  http://dx.doi.org/10.1061/(ASCE)WW.1943-5460.0000068)

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Document type: Journal Paper
Discussion: by Terence S. Hedges E-mail: t.s.hedges@liverpool.ac.uk    (See full record)
Abstract: A process is described for computation of bathymetry in and near the surf zone, from spatially varying celerity and breakpoint location data. The procedure involves the use of three submodels: (1) a wave shoaling model (outside of the surf zone); (2) a wave breaking model (defining the offshore boundary of the surf zone); and (3) a wave dissipation model (inside the surf zone). Influence of wave amplitude on the wave dispersion relation and celerity is included. Output includes wave height and water depth throughout the domain. In the application described here, oblique digital video served as the initial data source, although the model could be applied to data derived from other sources. Results are compared with data recorded by in situ sensors and beach profile survey data acquired by traditional means. Results suggest that water depths can be computed within 15% normalized error (equally, less than 0.1 m in biased depth error) for in and near the surf zone characterized by high wave nonlinearity.


ASCE Subject Headings:
Breaking waves
Surf zones
Remote sensing
Water depth
Wave velocity
Wave equations
Data analysis

Author Keywords:
Water depth
Surf zone
Remote sensing
Wave velocity
Breaking waves
Wave equations