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Updated: Jul 28, 2025

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
Published on: August 5, 2016
A novel framework for the evaluation of coastal protection schemes through integration of numerical modelling and
Pavitra Kumar1, Nicoletta Leonardi2
1Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Chatham Street, Liverpool, L69 7ZT, UK. pavitra.kumar@liverpool.ac.uk.
Abstract:
There is growing interest in the adoption of Engineering with Nature or Nature Based Solutions for coastal protection including large mega-nourishment interventions. However, there are still many unknowns on the variables and design features influencing their functionalities. There are also challenges in the optimization of coastal modelling outputs or information usage in support of decision-making. In this study, more than five hundred numerical simulations with different sandengine designs and different locations along Morecambe Bay (UK) were conducted in Delft3D. Twelve Artificial Neural Networking ensemble models structures were trained on the simulated data to predict the influence of different sand engines on water depth, wave height and sediment transports with good performance. The ensemble models were then packed into a Sand Engine App developed in MATLAB and designed to calculate the impact of different sand engine features on the above variables based on users' inputs of sandengine designs.
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