Results 161 to 170 of about 13,836,757 (190)

Modeling of wave attenuation by vegetation with XBeach

, 2015
Over the past decades the effect of vegetation (e.g. kelp, mangroves, sea grass) on nearshore coastal processes has received more and more attention. In recent years several numerical wave models have been extended to include this effect. In the current study, the numerical storm impact model XBeach was extended with formulations found in literature ...
Van Rooijen, A.A. (author), Van Thiel de Vries, J.S.M. (author), McCall, R.T. (author), Van Dongeren, A.R. (author), Roelvink, J.A. (author), Reniers, A.J.H.M. (author)   +5 more
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Modeling wave attenuation by submerged flexible vegetation with XBeach phase-averaged model

Ocean Engineering, 2022
Sudong Xu, Yiran Wang
exaly   +2 more sources

Improved XBeach model and its application in coastal beach evolution under wave action

Coastal Engineering Journal, 2023
Hang Yu, Zhonghua Weng, Genfa Chen, Xin Chen   +3 more
exaly   +2 more sources

Predicting ship waves in sheltered waterways – An application of XBeach to the Stockholm Archipelago, Sweden

Coastal Engineering, 2021
Predicting hydrodynamic forces from ship waves along a waterway is essential for managing a sustainable shoreline in fairways. In this context, a numerical model can be a useful tool for calculating ship waves in fairways with complex geometry. XBeach is
Dano Roelvink, Björn Almström, Magnus Larson   +2 more
exaly   +2 more sources

Including Wave Diffraction in XBeach: Model Extension and Validation

Journal of Coastal Research, 2019
ABSTRACT Fang, K.; Wang, H.; Sun, J.; Zhang, J., and Liu, Z., 2020. Including wave diffraction in XBeach: Model extension and validation. Journal of Coastal Research, 36(1), 116–127.
KeZhao Fang, Hong Wang, Jiawen Sun, Jiabo Zhang, Zhongbo Liu   +4 more
openaire   +1 more source

Long term modelling of a mediterranean embayed beach: reduced-complexity model vs XBeach model

2023
The response of sandy beaches to the expected sea level rise during the XXI century is a major scientific concern. Process-based 2DH morphodynamic models are unable of making projections to 2100 due to the high computational coast and to the accumulation of errors in resolving short-term processes.
Albert Falqués, Nil Carrion, Francesca Ribas, Daniel Calvete, Candela Marco-Pereto, Ruth Duran, Angels Fernandez-Mora   +6 more
openaire   +1 more source

Numerical modeling with XBeach to support coastal management of the Emilia-Romagna Region

2016
This research is focused on testing the sensitivity of this model to its input parameters by verifying the effects on key output indicators for coastal managers, such as wave run-up, beach erosion, shoreline retreat and inundation. The model is applied to Cesenatico and calibrated based on the data measured during an extreme storm event, with the mid ...
UNGUENDOLI, SILVIA, ZANUTTIGH, BARBARA, AGUZZI, MARGHERITA, De Nigris, N., MORELLI, Maurizio, PACCAGNELLA, TIZIANA   +5 more
openaire   +1 more source

Coastal monitoring for XBeach model calibration in the analysis of the coastal erosion at Cesenatico

2017
Many of the most densely populated areas are located near the coast which is a vulnerable system, affected by erosion and flooding [18].In order to provide an efficient coastal management and coastal risk reduction, a fundamental knowledge of the hydrodinamic and morphodynamic processes in the coastal areas is needed.
UNGUENDOLI, SILVIA, ZANUTTIGH, BARBARA
openaire   +1 more source

A STUDY ON APPLICATION OF SEDIMENT TRANSPORT MODEL XBEACH TO SURFACE PROFILE CHANGE IN GRAVEL BEACH

土木学会論文集, 2023
Yonghwan CHO
exaly  

OPTIMIZATION FOR MORPHOLOGICAL CHANGE PREDICTION BY XBEACH MODEL AT HAMAMATSU SHINOHARA COAST, JAPAN

Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), 2021
Tatsuki SUZUKI, Takayuki OIE, Daiki TSUJIO, Kenzou KUMAGAI, Fuminori KATO, Nobuhito MORI   +5 more
openaire   +1 more source