Application of the high-resolution wave model for forecasting 1D sediment transport and beach inundation as a component of a short-term storm warning system

被引:1
作者
Sapiega, Patryk [1 ]
Zalewska, Tamara [1 ]
机构
[1] Natl Res Inst, Inst Meteorol & Water Management, Waszyngtona 42, PL-81342 Gdynia, Poland
关键词
SWAN; SWANOneSed; Ruggiero formula; Wave run-up; Sediment transport; Coastal erosion; Polish coast; Southern baltic; Warning system; SOUTHERN BALTIC SEA; COASTAL EROSION; RUN-UP; VARIABILITY; DYNAMICS; XBEACH; SWASH; DUNES; SETUP; SPIT;
D O I
10.1016/j.envsoft.2024.106089
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The main purpose of the research was to develop appropriate tools for forecasting the effects of storms. The use of the high -resolution SWAN wave model powered by AROME wind fields to couple it with the SWANOneSed sediment transport model and a model using the Ruggiero formula, predicting the extent of the flooded shore, allowed the development of reliable tools for forecasting the effects of storms. Validation using qualitative analysis showed that the results obtained from the coupled SWANOneSed model are characterized by high consistency in intensification and direction of changes. The model using the Ruggiero formula obtained a high value of the correlation coefficient, i.e. 0.970 and 0.992 for the Satba & lstrok; tyk-Xbeach model data, based on the Hunt &Mase formula, and the high -resolution Pleiades Neo satellite data, respectively. By combining models from the SWAN family, i.e. the SWAN and SWANOneSed wave model and a model using the Ruggiero formula, it was possible to obtain reliable and compatible tools enabling an uninterrupted and synchronized operational process of generating forecasts of storm effects.
引用
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页数:16
相关论文
共 100 条
  • [1] Ali A.H., 2023, Mesopotamian J. Big Data, V2023, P125, DOI [10.58496/MJBD/2023/017, DOI 10.58496/MJBD/2023/017]
  • [2] A nearshore evolution model for sandy coasts: IH-LANSloc
    Alvarez-Cuesta, M.
    Losada, I. J.
    Toimil, A.
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2023, 169
  • [3] Validation of Empirical Wave Run-up Formulas to the Polish Baltic Sea Coast
    Aniskiewicz, Paulina
    Benedyczak, Rafal
    Furmanczyk, Kazimierz
    Andrzejewski, Pawel
    [J]. JOURNAL OF COASTAL RESEARCH, 2016, : 243 - 247
  • [4] Assessment of runup predictions by empirical models on non-truncated beaches on the south-east Australian coast
    Atkinson, Alexander L.
    Power, Hannah E.
    Moura, Theo
    Hammond, Tim
    Callaghan, David P.
    Baldock, Tom E.
    [J]. COASTAL ENGINEERING, 2017, 119 : 15 - 31
  • [6] Battjes J.A., 1974, COMPUTATION SET UP L
  • [7] Applicability of a coastal morphodynamic model for fluvial environments
    Beevers, Lindsay
    Popescu, Ioana
    Quan Pan
    Pender, Douglas
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2016, 80 : 83 - 99
  • [8] Machine learning approach to modeling sediment transport
    Bhattacharya, B.
    Price, R. K.
    Solomatine, D. P.
    [J]. JOURNAL OF HYDRAULIC ENGINEERING, 2007, 133 (04) : 440 - 450
  • [9] BIJKER E.W., 1971, Journal of Waterways, Harbors and Coastal Engineering Division, V99, P687
  • [10] A MODIFIED SOR METHOD FOR THE POISSON EQUATION IN UNSTEADY FREE-SURFACE FLOW CALCULATIONS
    BOTTA, EFF
    ELLENBROEK, MHM
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 1985, 60 (01) : 119 - 134