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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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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1724164982279503872 |