Modeling Penetration of Tide-Influenced Waves in Le Havre Harbor

Guillou, Nicolas; Chapalain, Georges

doi:10.2112/jcoastres-d-11-00192.1

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…Finally, at a local scale, larval dispersal through oceanographic constraints will play a major role in the potential spread of dock mussels and dispersal models for NIS in ports will be needed (see David, Matthee, Loveday, & Simon, , for an example at a large scale). While some studies of water flows, tide or wave physical constraints in ports of the English Channel exist (Guillou & Chapalain, , ; Jouanneau, Sentchev, & Dumas, ), none include a biological module. A study of wave entrance in the southern basin of Le Havre would suggest the likely dispersal of M. edulis larvae within this basin (Guillou & Chapalain, ), while the whole basin proved populated by dock mussels, providing further evidence for habitat choice or early‐stage selection.…”

Section: Discussionmentioning

confidence: 99%

Replicated anthropogenic hybridisations reveal parallel patterns of admixture in marine mussels

Simon

Arbiol

Nielsen

et al. 2019

Evolutionary Applications

106

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Human‐mediated transport creates secondary contacts between genetically differentiated lineages, bringing new opportunities for gene exchange. When similar introductions occur in different places, they provide informally replicated experiments for studying hybridisation. We here examined 4,279 Mytilus mussels, sampled in Europe and genotyped with 77 ancestry‐informative markers. We identified a type of introduced mussels, called “dock mussels,” associated with port habitats and displaying a particular genetic signal of admixture between M. edulis and the Mediterranean lineage of M. galloprovincialis. These mussels exhibit similarities in their ancestry compositions, regardless of the local native genetic backgrounds and the distance separating colonised ports. We observed fine‐scale genetic shifts at the port entrance, at scales below natural dispersal distance. Such sharp clines do not fit with migration‐selection tension zone models, and instead suggest habitat choice and early‐stage adaptation to the port environment, possibly coupled with connectivity barriers. Variations in the spread and admixture patterns of dock mussels seem to be influenced by the local native genetic backgrounds encountered. We next examined departures from the average admixture rate at different loci, and compared human‐mediated admixture events, to naturally admixed populations and experimental crosses. When the same M. galloprovincialis background was involved, positive correlations in the departures of loci across locations were found; but when different backgrounds were involved, no or negative correlations were observed. While some observed positive correlations might be best explained by a shared history and saltatory colonisation, others are likely produced by parallel selective events. Altogether, genome‐wide effect of admixture seems repeatable and more dependent on genetic background than environmental context. Our results pave the way towards further genomic analyses of admixture, and monitoring of the spread of dock mussels both at large and at fine spacial scales.

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Section: Discussionmentioning

confidence: 99%

Replicated anthropogenic hybridisations reveal parallel patterns of admixture in marine mussels

Simon

Arbiol

Nielsen

et al. 2019

Evolutionary Applications

106

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“…TELEMAC-2D, coupled with TOMAWAC, has been successfully applied to studies of WCI in various coastal systems (e.g. [7,32,33]). In a similar fashion, the present study uses the TELEMAC-2D module, internally coupled with TOMAWAC module, to study WCI in the ME.…”

Section: Methodsmentioning

confidence: 99%

“…The numerical applications demonstrated the significant influence of tidal flow on wave height variation in estuaries (e.g. [6][7][8][9]). It is widely found that wave height modulates with the tide, and an opposing tidal flow increases wave height whereas a following tidal flow decreases wave height in a coastal region.…”

Section: Introductionmentioning

confidence: 99%

Wave–current interaction in a river and wave dominant estuary: A seasonal contrast

Liu

Wen

Pan

et al. 2015

Applied Ocean Research

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a b s t r a c tThe dynamic feature of the Modaomen Estuary (ME) in the Pearl River Delta in southern China has been the subject of extensive research. In previous studies, wave-current interaction (WCI) was often neglected due to its complexity. This study uses a coupled hydrodynamic module TELEMAC-2D and wave propagation module TOMAWAC in the TELEMAC-Mascaret modeling system to quantify the effects of WCI on the hydrodynamics in the ME. The coupled wave and current modeling system was well validated against the field measurements at selected locations. The model results show that WCI varies with the seasonal change in runoff in the ME. The effect of waves on the currents is insignificant during the wet season with a current change of no more than 0.07 m/s; but, in contrast, the currents have a noticeable effect on waves. However, during the dry season, the interactions of waves and currents on each other are found to be equally significant. When wave model and current model are coupled, the velocity could increase up to a maximum of 0.30 m/s and decrease up to a maximum of 0.17 m/s. WCI is greatly affected by the propagation directions of wave and current in both seasons. Generally, wave height decreases and current increases for a following wave and current; wave height increases and current decreases for an opposing wave and current. The effects of waves on currents change with the tide. Changes are larger during neap tide than during spring tide, and stronger during ebb tide than during flood tide.

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“…The choice of ARTEMIS as one of the three components of the interactive model developed in this project, along with its status as a freely distributed code, is also due to: successful testing of ARTEMIS for a large number of seaport projects, for example [14][15][16][17], as well as a set of tests, which, in comparison with the measurement data, are presented in the model documentation; the availability of both a version for regular waves and a spectral version of the model.…”

Section: Methodsmentioning

confidence: 99%

Interactive numerical model of hydrometeorologic factors in Kola Bay

Kantarzhi

Anshakov

2021

E3S Web Conf.

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The structure of the developed interactive model of wind waves and currents for the construction area in the Kola Bay, Barents Sea is considered. The interaction between three modules of the developed model which based on the SWAN, ARTEMIS and COASTOX models is shown. The interactive model can be applied to get the statistical characteristics of waves and currents. The article presents an overview of the results of applying a chain of numerical models to determine the wave loads on the structures of the projected Center for the Construction of Large-capacity Marine Structures in the Kola Bay.

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Modeling Penetration of Tide-Influenced Waves in Le Havre Harbor

Cited by 9 publications

References 16 publications

Replicated anthropogenic hybridisations reveal parallel patterns of admixture in marine mussels

Replicated anthropogenic hybridisations reveal parallel patterns of admixture in marine mussels

Wave–current interaction in a river and wave dominant estuary: A seasonal contrast

Interactive numerical model of hydrometeorologic factors in Kola Bay

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