2009
DOI: 10.1016/j.coastaleng.2008.06.004
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Nonlinear transfer function modelling of beach morphology at Duck, North Carolina

Abstract: This paper presents a simple nonlinear data-based modelling approach for predicting the beach profile volume at Duck, North Carolina, USA. The state-dependent parameter form of the general transfer function (SDP TF) model is used to describe nonlinearity influencing these morphological data in two case examples. Case 1 investigates the nonlinearity associated with the dependency of wave forcing on the preceding beach volume. Case 2 investigates the ability to model the variables within the well known diffusion… Show more

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Cited by 5 publications
(3 citation statements)
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“…It could be an important factor in deciding which beach sites the coastal managers should develop. There are different techniques and approaches used for predicting beach changes and beach nourishment requirements; from simpler techniques such as linear least squares to more sophisticated models such as stochastic approaches, and finally machine learning techniques [4][5][6][7]. Many models include on longshore and cross shore transport for beach change prediction, as well as equilibrium beach profile expressions [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…It could be an important factor in deciding which beach sites the coastal managers should develop. There are different techniques and approaches used for predicting beach changes and beach nourishment requirements; from simpler techniques such as linear least squares to more sophisticated models such as stochastic approaches, and finally machine learning techniques [4][5][6][7]. Many models include on longshore and cross shore transport for beach change prediction, as well as equilibrium beach profile expressions [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Stochastic approaches for assessing beach changes have been modeled early while using Markov-type processes [14,15]. Geostatistical estimation of beach properties that are based on variogram method [16], linear [4], and nonlinear [17][18][19] data-based modelling techniques have been applied in the past in order to investigate beach morphology, mostly in a purely spatial mapping framework. Additionally, the beach equilibrium model is another parametric method which has been widely accepted and often used as a proxy for shoreline (e.g., [20][21][22]) and more recently to study the variation of beach profile position [23].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the uncertainty, complexity and nonlinearity of the plants, computational approaches were widely used and applied to real time systems for the modeling, prediction and optimization processes [11][12][13][14]. Besides, many other recent studies underlined TFs' simple, satisfying and quick estimation of process performance for linear and nonlinear stothastic dynamic systems in the fields of engineering, environmental science and social science [15]. Basically, TF demonstrates the relation between input and output signals in black boxes representing the transformation of input signal to the output signal accordingly.…”
Section: Introductionmentioning
confidence: 99%