Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data
Video monitoring systems (VMS) have been used for beach status observation but are not effective for examining detailed beach processes as they only measure changes to the shoreline and backshore. Here, we extracted longshore sediment transport (LST) from VMS in order to investigate long- and short-...
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doaj-186f5ac9a9804100878ba8c7e182c8982021-04-02T14:34:50ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-07-01857257210.3390/jmse8080572Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline DataJung-Eun Oh0Yeon S. Chang1Weon Mu Jeong2Ki Hyun Kim3Kyong Ho Ryu4Maritime ICT R&D Center, Korea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan 49111, KoreaMaritime ICT R&D Center, Korea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan 49111, KoreaMaritime ICT R&D Center, Korea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan 49111, KoreaDepartment of Coastal Management, GeoSystem Research Corporation, 172 LS-ro, Gunpo 15807, KoreaMaritime ICT R&D Center, Korea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan 49111, KoreaVideo monitoring systems (VMS) have been used for beach status observation but are not effective for examining detailed beach processes as they only measure changes to the shoreline and backshore. Here, we extracted longshore sediment transport (LST) from VMS in order to investigate long- and short-term littoral processes on a pocket beach. LST estimated by applying one-line theory, wave power, and the oblique angle of incident waves were used to understand shoreline changes caused by severe winter storms. The estimated LST showed good agreement with the shoreline changes because the sediments were trapped at one end of the pocket beach and the alongshore direction of transported sediments was corresponded to the direction of LST. The results also showed that the beach that was severely eroded during storms was also rapidly recovered following the evolution of LST, which indicates that the LST may play a role in the recovery process while the erosion was mainly caused by the cross-shore transport due to storm waves. After the beach was nourished, beach changes became more active, even under lower wave energy conditions, owing to the equilibrium process. The analysis presented in this study could be applied to study inhomogeneous beach processes at other sites.https://www.mdpi.com/2077-1312/8/8/572video monitoring systemlongshore sediment transportstorm wavesbeach responsebeach nourishment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jung-Eun Oh Yeon S. Chang Weon Mu Jeong Ki Hyun Kim Kyong Ho Ryu |
spellingShingle |
Jung-Eun Oh Yeon S. Chang Weon Mu Jeong Ki Hyun Kim Kyong Ho Ryu Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data Journal of Marine Science and Engineering video monitoring system longshore sediment transport storm waves beach response beach nourishment |
author_facet |
Jung-Eun Oh Yeon S. Chang Weon Mu Jeong Ki Hyun Kim Kyong Ho Ryu |
author_sort |
Jung-Eun Oh |
title |
Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data |
title_short |
Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data |
title_full |
Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data |
title_fullStr |
Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data |
title_full_unstemmed |
Estimation of Longshore Sediment Transport Using Video Monitoring Shoreline Data |
title_sort |
estimation of longshore sediment transport using video monitoring shoreline data |
publisher |
MDPI AG |
series |
Journal of Marine Science and Engineering |
issn |
2077-1312 |
publishDate |
2020-07-01 |
description |
Video monitoring systems (VMS) have been used for beach status observation but are not effective for examining detailed beach processes as they only measure changes to the shoreline and backshore. Here, we extracted longshore sediment transport (LST) from VMS in order to investigate long- and short-term littoral processes on a pocket beach. LST estimated by applying one-line theory, wave power, and the oblique angle of incident waves were used to understand shoreline changes caused by severe winter storms. The estimated LST showed good agreement with the shoreline changes because the sediments were trapped at one end of the pocket beach and the alongshore direction of transported sediments was corresponded to the direction of LST. The results also showed that the beach that was severely eroded during storms was also rapidly recovered following the evolution of LST, which indicates that the LST may play a role in the recovery process while the erosion was mainly caused by the cross-shore transport due to storm waves. After the beach was nourished, beach changes became more active, even under lower wave energy conditions, owing to the equilibrium process. The analysis presented in this study could be applied to study inhomogeneous beach processes at other sites. |
topic |
video monitoring system longshore sediment transport storm waves beach response beach nourishment |
url |
https://www.mdpi.com/2077-1312/8/8/572 |
work_keys_str_mv |
AT jungeunoh estimationoflongshoresedimenttransportusingvideomonitoringshorelinedata AT yeonschang estimationoflongshoresedimenttransportusingvideomonitoringshorelinedata AT weonmujeong estimationoflongshoresedimenttransportusingvideomonitoringshorelinedata AT kihyunkim estimationoflongshoresedimenttransportusingvideomonitoringshorelinedata AT kyonghoryu estimationoflongshoresedimenttransportusingvideomonitoringshorelinedata |
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