SPATIO-TEMPORAL VARIATION OF AEOLIAN SHOREWARD SAND TRANSPORT MEASURED USING NEAR-CONTINUOUS LASER SCANNING

Conference Paper (2023)
Authors

S. Vos (TU Delft - Coastal Engineering)

Katharina Anders (University of Heidelberg)

Alain de Wulf (Universiteit Gent)

S. Vries (TU Delft - Coastal Engineering)

R.C. Lindenbergh (TU Delft - Optical and Laser Remote Sensing)

Research Group
Coastal Engineering
To reference this document use:
https://doi.org/10.9753/icce.v37.papers.24
More Info
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Publication Year
2023
Language
English
Research Group
Coastal Engineering
ISBN (electronic)
9780989661164
DOI:
https://doi.org/10.9753/icce.v37.papers.24
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Abstract

A beach in Mariakerke-Bad (Belgium) was monitored in 2017-2018 for more than a year with a near-continuous laser scan system. From a total of 8500 scans 7700 hourly scan epochs were used to study the spatio-temporal shoreward sand transport at the beach. In order to account for weather influences and other possible disturbances of the scan-system, a time-dependent correction method was applied to reduce rotation errors up to 0.2 degrees in the point cloud orientation (around the zero point of the laser scanner) reducing height errors on the beach to the order of centimeters. Cross shore analysis of the beach profile shows that shoreward transport occurs at most times during the year with an accumulated maximum of 17m3/m throughout the measurement period and maximum transport rates of 0.6 m3/m/day. However most of the shoreward sand transport is redistributed seawards again due to beach shaping leaving a total of about 2 m3/m a year which is below the average values found along the Belgium coast. The spatiotemporal behavior of the shoreward sand transport has been studied with the 4D-OBC analysis technique which identified accumulations of sand in the full 4D point cloud dataset. A total of about 3600 4D-OBC accumulation events were identified and most found accumulations on the beach can be associated with natural (aeolian) processes. Also, accumulations appear to occur during the whole year which is consistent with the previous cross-shore analysis.