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Kernel representation of long-wave dynamics on a uniform slope
1Department of Civil Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.
This study presents a new method for modeling long-wave propagation on beaches. The approach uses a kernel function to accurately predict wave dynamics, including shoaling and reflection, for both linear and nonlinear scenarios.
Area of Science:
- Fluid dynamics
- Oceanography
- Coastal engineering
Background:
- Long-wave propagation on beaches is a complex phenomenon crucial for coastal processes.
- Existing models often struggle with accurately capturing transient dynamics and nonlinear effects.
Purpose of the Study:
- To develop a novel transient-response formulation for long-wave propagation on uniformly sloping beaches.
- To provide exact solutions for linear shallow water equations and extendable to nonlinear dynamics.
- To offer new insights into the long-studied problem of near-shore wave behavior.
Main Methods:
- Formulating long-wave propagation as a transient-response problem with initially stationary water.
- Representing water surface elevation and flow velocity as convolutions with a singular kernel function.
- Utilizing double exponential formulas for numerical implementation to handle kernel singularity.
- Extending the kernel formulation to nonlinear dynamics via the hodograph transform.
Main Results:
- The kernel function accurately accommodates dynamic processes like shoaling, reflection, and multiple reflections.
- Exact solutions of linear shallow water equations are obtained for any smooth incident wave.
- The method enables instantaneous prediction of nonlinear wave properties and wave breaking.
- The formulation provides a unified framework for understanding long-wave dynamics.
Conclusions:
- The developed transient-response formulation offers a powerful and exact method for analyzing long-wave dynamics on beaches.
- The kernel convolution approach successfully models both linear and nonlinear wave behaviors.
- This work provides significant new insights into coastal wave dynamics and prediction.
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