Numerical Simulation and Large-Scale Physical Modelling of Coastal Sand Dune Erosion
SCIE
SCOPUS
Cited 10 time in
WEB OF SCIENCE
Cited 11 time in
Scopus
-
Title
- Numerical Simulation and Large-Scale Physical Modelling of Coastal Sand Dune Erosion
-
Author(s)
- Do, Kideok; Shin, Sungwon; Cox, Daniel; Yoo, Jeseon
- KIOST Author(s)
- Yoo, Jeseon(유제선)
-
Alternative Author(s)
- 유제선
-
Publication Year
- 2018-05
-
Abstract
- Coastal sand dune system is important in the nearshore environment for sand supply, ecosystem, and hazard mitigation. In this study, a process-based morphological model was performed and the results were compared with large-scale laboratory experimental data. Two-dimensional large-scale laboratory experiments were conducted with 1:6 geometric scale in the large wave flume (104m (L) x 3.7 m (W) x 4.6 m (D)) of the Hinsdale Wave Research Laboratory at Oregon State University (Maddux et al, 2006). Several different wave conditions were used with different water levels in this experiment including pre-storm, storm, and post storm based on random wave time series by using TMA spectrum. The data set included cross-shore Wave heights, fluid velocities, and the profile changes of the beach and dune. The process based model, XBeach (Roelvink et al., 2009) was used to simulate the nearshore hydrodynamics and bed level change during storm wave condition. Several semi-empirical parameters were used in the)(Beach model to predict morphodynamic process (Roelvink et al., 2009) and recently the updated parameters (WTI settings) were suggested based on the results of field observations. The present study ran the)(Beach model by using both default and WTI settings and compared with the results from the experiments. The results showed that the model results with WTI settings showed good agreement with the measured beach profile while the model results with default settings over-predicted the offshore sediment transport and dune erosion. Especially, the wave skewness (facSk) and asymmetry (facAs) gave the highest contribution to predict dune erosion.
-
ISSN
- 0749-0208
-
URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/916
-
DOI
- 10.2112/SI85-040.1
-
Bibliographic Citation
- JOURNAL OF COASTAL RESEARCH, pp.196 - 200, 2018
-
Publisher
- COASTAL EDUCATION & RESEARCH FOUNDATION
-
Keywords
- Dune erosion; sediment transport; XBeach model; large-scale experiment
-
Type
- Article
-
Language
- English
-
Document Type
- Article; Proceedings Paper
- Files in This Item:
-
There are no files associated with this item.
Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.