Alongshore sediment transport rate -measurement and comparison with empirical formulas and an Artificial Neural Network (ANN) model

• Main Authors: Azad Allahkarami (Author), Jamal Nili (Author), Sardar Bakhtyar (Author), Fouzieh Kaki (Author), Tayeb Sadeghifar (Author)
• Format: Book
• Published: Annals of Marine Science - Peertechz Publications, 2023-12-16.
• Subjects: Research Article
• Online Access: Connect to this object online.

<p>The rate from alongshore sediment transport in the surf zone depends on the product of the local wave height and mean alongshore current speed. The aim of this article was to predict the alongshore sediment transport rate using a semi-empirical application of Artificial Neural Network (ANN) on the south coast of the Caspian Sea. This study reports the measurements of the alongshore sediment transport rate performed in the surf zone of the Noor coastal area located in the southern part of the Caspian Sea from September 2011 to June 2012. Further, alongshore sediment transport rates have been estimated by different famous semi-empirical formulas. On the other hand, an artificial neural network model was trained using three predominant parameters of sediment transport formulas including wave-breaking height (Hb), surf zone width (W), and alongshore current velocity (V). ANN models were able to show hidden laws of natural phenomena such as the sediment transport process. The results of ANN and some sediment transport rate formulas concerning alongshore sediment transport rate were compared with corresponding measured values. </p>