TY - JOUR
T1 - Synchronized high-resolution bed-level change and biophysical data from 10 marsh-mudflat sites in northwestern Europe
AU - Hu, Zhan
AU - Willemsen, Pim W.J.M.
AU - Borsje, Bas W.
AU - Wang, Chen
AU - Wang, Heng
AU - Van Der Wal, Daphne
AU - Zhu, Zhenchang
AU - Oteman, Bas
AU - Vuik, Vincent
AU - Evans, Ben
AU - Möller, Iris
AU - Belliard, Jean Philippe
AU - Van Braeckel, Alexander
AU - Temmerman, Stijn
AU - Bouma, Tjeerd J.
N1 - Funding Information:
Financial support. This research has been supported by a joint research project of the National Natural Science Foundation of China (no. 51761135022), NWO (no. ALWSD.2016.026), and EP-SRC (no. EP/R024537/1; Sustainable Deltas) and a project from the Guangdong Provincial Department of Science and Technology (no. 2019ZT08G090). Ben Evans and Iris Möller received support from the UK NERC RESIST project (grant no. NE/R01082X/1) for input into the paper preparation and writing process.
Funding Information:
Acknowledgements. The authors gratefully acknowledge financial support of a joint research project of the National Natural Science Foundation of China (no. 51761135022), NWO (no. AL-WSD.2016.026), and EPSRC (no. EP/R024537/1; Sustainable Deltas) and a project from the Guangdong Provincial Department of Science and Technology (no. 2019ZT08G090). The dataset of Zuidgors A and Baarland was obtained as a part of the STW NWO project (grant no. 07324). The dataset of Hellegat and Zimmer-man were obtained as part of the NWO-funded project BE-SAFE (grant no. 850.13.011). The dataset of Zuidgors B, Paulina, Till-ingham, and Donna Nook was obtained as part of the EU FP7-funded project FAST (Foreshore Assessment using Space Technology, grant no. 607131). Ben Evans and Iris Möller received support from the UK NERC RESIST project (grant no. NE/R01082X/1) for input into the paper preparation and writing process. The dataset of Galgeschoor was obtained in a project funded by Antwerp Port Authority.
Publisher Copyright:
© 2021 Copernicus GmbH. All rights reserved.
PY - 2021/2/12
Y1 - 2021/2/12
N2 - Tidal flats provide valuable ecosystem services such as flood protection and carbon sequestration. Erosion and accretion processes govern the ecogeomorphic 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 costly instruments. By applying newly developed surface elevation dynamics (SED) sensors, we obtained unique high-resolution daily bed-level change datasets in the period 2013-2017 from 10 marsh-mudflat sites situated in the Netherlands, Belgium, and the United Kingdom 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, medium sediment grain size (D50), and chlorophyll a level at four sites. This dataset has revealed diverse spatial morphodynamics 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. The dataset is available from 4TU.ResearchData (https://doi.org/10.4121/12693254.v4; Hu et al., 2020), which is expected to expand with additional SED sensor data from ongoing and planned surveys.
AB - Tidal flats provide valuable ecosystem services such as flood protection and carbon sequestration. Erosion and accretion processes govern the ecogeomorphic 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 costly instruments. By applying newly developed surface elevation dynamics (SED) sensors, we obtained unique high-resolution daily bed-level change datasets in the period 2013-2017 from 10 marsh-mudflat sites situated in the Netherlands, Belgium, and the United Kingdom 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, medium sediment grain size (D50), and chlorophyll a level at four sites. This dataset has revealed diverse spatial morphodynamics 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. The dataset is available from 4TU.ResearchData (https://doi.org/10.4121/12693254.v4; Hu et al., 2020), which is expected to expand with additional SED sensor data from ongoing and planned surveys.
UR - http://www.scopus.com/inward/record.url?scp=85101453628&partnerID=8YFLogxK
U2 - 10.5194/essd-13-405-2021
DO - 10.5194/essd-13-405-2021
M3 - Article
AN - SCOPUS:85101453628
SN - 1866-3508
VL - 13
SP - 405
EP - 416
JO - Earth System Science Data
JF - Earth System Science Data
IS - 2
M1 - 22
ER -