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标题：Synchronized high-resolution bed-level change and biophysical data from 10 marsh–mudflat sites in northwestern Europe
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作者：Zhan Hu ; Pim W. J. M. Willemsen ; Bas W. Borsje 等
期刊名称：Earth System Science Data Discussions
电子版ISSN：1866-3591
出版年度：2021
卷号：13
期号：2
页码：405-416
DOI：10.5194/essd-13-405-2021
语种：English
出版社：Copernicus Publications
摘要：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 theoreticaland model development. On the daily scale, this dataset is particularly instructive, as it includes a number ofstorm events, the response to which can be detected in the bed-level change observations. Such data are rare butuseful 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.