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Modeling Ocean Wave Conditions at a Shallow Coast Under Scarce Data Availability: A Case Study in the Mekong Delta, Vietnam

Vu, Hoang Thai Duong 1; Zemann, Moritz; van der Linden, Roderick; Dan, Trinh Cong 1; Oberle, Peter 1; Seidel, Frank 1; Nguyen, Nguyet Minh; Tu, Le Xuan
1 Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)

Abstract:

In the presented work, design conditions for breakwaters were derived from
offshore climate reanalysis data (ERA5), which were downscaled to the nearshore by two numerical approaches, i.e., SwanOne and Delft3D, for different average and extreme wave and weather conditions. Model validation was performed using in situ measurements. The advantages and disadvantages of both numerical approaches were investigated. Both
models showed sufficient accuracy according to measurements in the field, where SwanOne offers a simple and fast calculation method, while Delft3D provides a more complete representation, not only of waves but also current dynamics. However, it requires a much broader amount of input parameters and more complex boundary conditions. Then, SwanOne was applicable to calculate nearshore wave characteristics based on the input parameters extracted from the statistical analysis of long-term ERA5 data. Based on this
process, design wave heights and periods at the nearshore were determined for 10- to 100-year return periods. For breakwater design on the west coast of the Mekong Delta, maximum wave heights in a range of 1.1 m to 1.3 m at a distance of 100 m to 300 m could be determined for a return period of 20 years, corresponding to water depths of 2.33 m and 2.88 m, respectively.


Verlagsausgabe §
DOI: 10.5445/IR/1000180356
Veröffentlicht am 27.03.2025
Originalveröffentlichung
DOI: 10.3390/jmse13020265
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Institut für Wasser und Umwelt (IWU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2077-1312
KITopen-ID: 1000180356
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Journal of Marine Science and Engineering
Verlag MDPI
Band 13
Heft 2
Seiten Art.-Nr.: 265
Vorab online veröffentlicht am 30.01.2025
Nachgewiesen in OpenAlex
Web of Science
Dimensions
Scopus
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