Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model

Transport of beach sand to the foredune by wind is essential for dunes to grow. The aeolian sand transport rate is related to wind velocity, but wind-based models often overpredict this transport for narrow beaches (<100 m). To better predict aeolian sand transport, the fetch-based Aeolus mod...

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Main Authors: Pam Hage, Gerben Ruessink, Zilla van Aartrijk, Jasper Donker
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/8/2/110
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spelling doaj-0f868c4e13ed4ce29cb6552051193bac2021-04-02T11:21:05ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-02-018211010.3390/jmse8020110jmse8020110Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport ModelPam Hage0Gerben Ruessink1Zilla van Aartrijk2Jasper Donker3Department of Physical geography, Faculty of Geosciences, Utrecht University, 3508TC Utrecht, The NetherlandsDepartment of Physical geography, Faculty of Geosciences, Utrecht University, 3508TC Utrecht, The NetherlandsDepartment of Physical geography, Faculty of Geosciences, Utrecht University, 3508TC Utrecht, The NetherlandsDepartment of Physical geography, Faculty of Geosciences, Utrecht University, 3508TC Utrecht, The NetherlandsTransport of beach sand to the foredune by wind is essential for dunes to grow. The aeolian sand transport rate is related to wind velocity, but wind-based models often overpredict this transport for narrow beaches (<100 m). To better predict aeolian sand transport, the fetch-based Aeolus model was developed. Here, we qualitatively test this model by comparing its transport-rate output to visual signs of aeolian transport on video imagery collected at Egmond aan Zee, the Netherlands, during a six-month winter period. The Aeolus model and the Argus images often agree on the timing of aeolian transport days, except when transport is small; that is not always visible on the Argus images. Consistent with the imagery (minimal signs of aeolian activity in strong winds), the Aeolus model sometimes predicts the actual transport to be smaller than the potential transport. This difference is largest when wind velocity is large, and its direction is cross-shore. Although transport limitations are not predicted to be common, the results suggest that their effect on the total transport in the study period was substantial. This indicates that the fetch distance should be taken into account when calculating aeolian transport for narrow beaches on longer timescales (>weeks).https://www.mdpi.com/2077-1312/8/2/110aeolian sand transportaeolus modelvideo monitoringbeach processestransport conditions
collection DOAJ
language English
format Article
sources DOAJ
author Pam Hage
Gerben Ruessink
Zilla van Aartrijk
Jasper Donker
spellingShingle Pam Hage
Gerben Ruessink
Zilla van Aartrijk
Jasper Donker
Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model
Journal of Marine Science and Engineering
aeolian sand transport
aeolus model
video monitoring
beach processes
transport conditions
author_facet Pam Hage
Gerben Ruessink
Zilla van Aartrijk
Jasper Donker
author_sort Pam Hage
title Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model
title_short Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model
title_full Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model
title_fullStr Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model
title_full_unstemmed Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model
title_sort using video monitoring to test a fetch-based aeolian sand transport model
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2020-02-01
description Transport of beach sand to the foredune by wind is essential for dunes to grow. The aeolian sand transport rate is related to wind velocity, but wind-based models often overpredict this transport for narrow beaches (<100 m). To better predict aeolian sand transport, the fetch-based Aeolus model was developed. Here, we qualitatively test this model by comparing its transport-rate output to visual signs of aeolian transport on video imagery collected at Egmond aan Zee, the Netherlands, during a six-month winter period. The Aeolus model and the Argus images often agree on the timing of aeolian transport days, except when transport is small; that is not always visible on the Argus images. Consistent with the imagery (minimal signs of aeolian activity in strong winds), the Aeolus model sometimes predicts the actual transport to be smaller than the potential transport. This difference is largest when wind velocity is large, and its direction is cross-shore. Although transport limitations are not predicted to be common, the results suggest that their effect on the total transport in the study period was substantial. This indicates that the fetch distance should be taken into account when calculating aeolian transport for narrow beaches on longer timescales (>weeks).
topic aeolian sand transport
aeolus model
video monitoring
beach processes
transport conditions
url https://www.mdpi.com/2077-1312/8/2/110
work_keys_str_mv AT pamhage usingvideomonitoringtotestafetchbasedaeoliansandtransportmodel
AT gerbenruessink usingvideomonitoringtotestafetchbasedaeoliansandtransportmodel
AT zillavanaartrijk usingvideomonitoringtotestafetchbasedaeoliansandtransportmodel
AT jasperdonker usingvideomonitoringtotestafetchbasedaeoliansandtransportmodel
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