Spatially evolving regular water wave under the action of steady wind forcing

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Lev Shemer ◽  
Santosh Kumar Singh
Keyword(s):  
Water Wave ◽  
Wind Forcing

scholarly journals Influence of Wind Forcing on Modulation and Breaking of One-Dimensional Deep-Water Wave Groups

2012 ◽  
Vol 42 (6) ◽  
pp. 928-939 ◽  
Author(s):  
Alina Galchenko ◽  
Alexander V. Babanin ◽  
Dmitry Chalikov ◽  
I. R. Young ◽  
Brian K. Haus
Keyword(s):  
Water Wave ◽  
Modulation Depth ◽  
Wind Forcing ◽  
Height Ratio ◽  
Wave Groups ◽  
One Dimensional ◽  
Slowing Down ◽  
Instability Growth ◽  
Deep Water Wave ◽  
Nonlinear Numerical Model

Abstract Evolution of nonlinear wave groups to breaking under wind forcing was studied by means of a fully nonlinear numerical model and in a laboratory experiment. Dependence of distance to breaking and modulation depth (height ratio of the highest and the lowest waves in a group) on wind forcing was described. It was shown that in the presence of a certain wind forcing both distance to breaking and modulation depth decrease; the latter signifies slowing down of the instability growth. It was also shown that wind forcing significantly reduces the energy loss in a single breaking event.

On the ice-ocean response to wind forcing

1996 ◽  
Vol 48 (4) ◽  
pp. 593-606 ◽  
Author(s):  
Anders Omstedt ◽  
Leif Nyberg ◽  
Matti Leppäranta
Keyword(s):  
Wind Forcing ◽  
Ocean Response

Field Observation and Simulation of Sediment Resuspension in a Shallow Lake

1988 ◽  
Vol 20 (6-7) ◽  
pp. 263-270 ◽  
Author(s):  
K. Otsubo ◽  
K. Muraoka
Keyword(s):  
Numerical Simulation ◽  
Shallow Lake ◽  
Water Wave ◽  
Field Data ◽  
Sediment Resuspension ◽  
Field Research ◽  
Lake Kasumigaura ◽  
Bed Erosion ◽  
Current Water ◽  
Good Agreement

The dispersion and resuspension of sediments in Takahamairi Bay basin of Lake Kasumigaura were studied by means of field research and numerical simulation. The field data on wind direction and velocity, lake current, water wave, and turbidity were shown. Based on these results, we discuss how precipitated sediments were resuspended in this shallow lake. To predict the turbidity and the depth of bed erosion, a simulation model was established for this lake. The calculated turbidity showed good agreement with the field data. According to the simulated results, the turbidity reaches 200 ppm, and the bed is eroded several millimeters deep when the wind velocity exceeds 12 m/s in the lake.

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