Review status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.
High resolution bed level change and synchronized biophysical data
from 10 tidal flats in northwestern Europe
Zhan Hu1,2,Pim W. J. M. Willemsen3,4,Bas W. Borsje3,Chen Wang5,Heng Wang2,6,Daphne van der Wal4,7,Zhenchang Zhu8,Bas Oteman4,Vincent Vuik9,10,Ben Evans11,Iris Möller12,Jean-Philippe Belliard13,Alexander Van Braeckel14,Stijn Temmerman13,and Tjeerd J. Bouma4,15Zhan Hu et al.Zhan Hu1,2,Pim W. J. M. Willemsen3,4,Bas W. Borsje3,Chen Wang5,Heng Wang2,6,Daphne van der Wal4,7,Zhenchang Zhu8,Bas Oteman4,Vincent Vuik9,10,Ben Evans11,Iris Möller12,Jean-Philippe Belliard13,Alexander Van Braeckel14,Stijn Temmerman13,and Tjeerd J. Bouma4,15
1Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, and School of Marine Science, Sun Yat-sen University, Guangzhou, 510275, China
2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), China
3Water Engineering and Management, University of Twente, Enschede, P.O. Box 217, 7500 AE, the Netherlands
4NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems and Utrecht University, Yerseke, P.O. Box 140, 4400 AC, the Netherlands
5Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, and State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing, 100094, China
6School of Marine Engineering and Technology, Sun Yat-Sen University, Guangzhou, 510275, China
7Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, P.O. Box 217, 7500 AE, the Netherlands
8Institute of Environmental and Ecological engineering, Guangdong University of Technology, 510030 Guangzhou, China
9Delft University of Technology, Faculty of Civil Engineering and Geosciences, P.O. Box 5048, 2600 GA, Delft, the Netherlands
10HKV Consultants, P.O. Box 2120, 8203 AC, Lelystad, the Netherlands
11Department of Geography, University of Cambridge, Cambridge, CB2 3EN, UK
12Department of Geography, Trinity College Dublin, Dublin 2, D02 PN40, Ireland
13University of Antwerp, Ecosystem Management Research Group, Antwerp, 2610 Belgium
14Research Institute for Nature and Forest (INBO), Havenlaan 88, 1000 Brussels, Belgium
15Department of Physical Geography, Utrecht University, Utrecht, P.O. Box 80.115, 3508 TC, the Netherlands
1Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, and School of Marine Science, Sun Yat-sen University, Guangzhou, 510275, China
2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), China
3Water Engineering and Management, University of Twente, Enschede, P.O. Box 217, 7500 AE, the Netherlands
4NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems and Utrecht University, Yerseke, P.O. Box 140, 4400 AC, the Netherlands
5Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, and State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing, 100094, China
6School of Marine Engineering and Technology, Sun Yat-Sen University, Guangzhou, 510275, China
7Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, P.O. Box 217, 7500 AE, the Netherlands
8Institute of Environmental and Ecological engineering, Guangdong University of Technology, 510030 Guangzhou, China
9Delft University of Technology, Faculty of Civil Engineering and Geosciences, P.O. Box 5048, 2600 GA, Delft, the Netherlands
10HKV Consultants, P.O. Box 2120, 8203 AC, Lelystad, the Netherlands
11Department of Geography, University of Cambridge, Cambridge, CB2 3EN, UK
12Department of Geography, Trinity College Dublin, Dublin 2, D02 PN40, Ireland
13University of Antwerp, Ecosystem Management Research Group, Antwerp, 2610 Belgium
14Research Institute for Nature and Forest (INBO), Havenlaan 88, 1000 Brussels, Belgium
15Department of Physical Geography, Utrecht University, Utrecht, P.O. Box 80.115, 3508 TC, the Netherlands
Received: 27 Mar 2020 – Accepted for review: 03 Jun 2020 – Discussion started: 04 Jun 2020
Abstract. Tidal flats provide valuable ecosystem services such as flood protection and carbon sequestration. Erosion and accretion processes govern the eco-geomorphic evolution of intertidal ecosystems (marshes and bare flats), and hence substantially affect their valuable ecosystem services. To understand the intertidal ecosystem development, high-frequency bed-level change data are thus needed. However, such datasets are scarce due to the lack of suitable methods that do not involve excessive labour and/or instrument cost. By applying newly-developed Surface Elevation Dynamics sensors (SED-sensors), we obtained unique high-resolution daily bed-level change data sets in the period 2013–2017 from 10 salt marsh sites situated in the Netherlands, Belgium and Britain in contrasting physical and biological settings. At each site, multiple sensors were deployed for 9–20 months to ensure sufficient spatial and temporal coverage of highly variable bed level change processes. The bed level change data are provided with synchronized hydrodynamic data, i.e. water level, wave height, tidal current velocity, and medium grain size (D50) as well as (for some sites) chlorophyll-a level and organic matter content of the surface sediment. This dataset has revealed diverse spatial morphodynamic patterns over daily to seasonal scales, which are valuable to theoretical and model development. On the daily scale, this dataset is particularly instructive as it includes a number of storm events, the response to which can be detected in the bed level change observations. Such data are rare but useful to study tidal flat response to highly energetic conditions.
High resolution bed level change and synchronized biophysical data from 10 tidal flats in northwestern EuropeZ. Hu, P. W. J. M. Willemsen, B. W. Borsje, C. Wang, H. Wang, D. van der Wal, Z. Zhu, B. Oteman, V. Vuik, B. Evans, I. Möller, J.-P. Belliard, A. Van Braeckel, S. Temmerman, and T. J. Bouma https://doi.org/10.4121/uuid:4830dbc2-84b8-46f9-99a3-90f01ab5b923
Zhan Hu et al.
Viewed
Total article views: 658 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
470
158
30
658
43
43
HTML: 470
PDF: 158
XML: 30
Total: 658
BibTeX: 43
EndNote: 43
Views and downloads (calculated since 04 Jun 2020)
Cumulative views and downloads
(calculated since 04 Jun 2020)
Viewed (geographical distribution)
Total article views: 573 (including HTML, PDF, and XML)
Thereof 571 with geography defined
and 2 with unknown origin.
Erosion and accretion processes govern the eco-geomorphic evolution of intertidal ecosystems (marshes and bare flats), and hence substantially affect their valuable ecosystem services. By applying a novel sensor, we obtained unique high-resolution daily bed-level change data sets from 10 salt marsh sites in northwestern Europe. This dataset has revealed diverse spatial bed-level change patterns over daily to seasonal scales, which are valuable to theoretical and model development.
Erosion and accretion processes govern the eco-geomorphic evolution of intertidal ecosystems...