Advancing Resilience Measures for Vegetated Coastline (ARM4VEG) , Guyana
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Datacite citation style:
Best, Uwe; van der Wegen, Mick; Reyns, Johan; Dijkstra, Jasper; Roelvink, Dano et. al. (2022): Advancing Resilience Measures for Vegetated Coastline (ARM4VEG) , Guyana. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/c.5715269.v1Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Chateau Margot, Guyana
lat (N): 6.82022222
lon (E): 58.07358333view on openstreetmap
time coverageJanuary - March 2004; November 2019 - January 2021
This collection contains data collected during mangrove-mudflat campaign in Guyana, during the PhD Thesis project of Uwe Best. It is being made public both to act as supplementary data for publications and the final PhD thesis document, as well as to allow for open usage by other researchers in their own work. The detailed datasets include wave attenuation characteristics, sediment properties, bathymetry spanning 16 years, in-situ sediment concentrations and high resolution vegetation characteristics in Guyana.
There were a total of six deployments, each with varying durations. Eight frames were installed along the main transect, MB in the mangrove fringe and along the mudflat. Deployments during the period 2019 – 2020 spanned: 22 - 23 November, 24 - 29 November, 3 - 9 December, 12 - 17 December, 20 - 28 December and 1 - 11 January. The instruments (pressure transducers and Acoustic doppler Velocimeters (ADVs) were installed downward looking, with the sensor head aimed vertically at the bottom. The instruments were serviced, cleaned and data were downloaded every week or two weeks. The area has very high sediment concentration volumes and required regular cleaning. Post-processing scripts were was developed in MATLAB to carry out the spectral analysis and determine the wave parameters. The sampling frequency of the pressure transducers were set to 5 Hz to collect water levels and allow for the extraction of both infragravity waves, and wind-generated waves via a MATLAB script.
- 2022-01-11 first online, published, posted, revised
- The fieldwork presented in this paper was conducted under the research permit “Mangrove- Mudflat Coastlines Impacted by Sea Level Rise (SLR)- Hydrodynamics and Sediment Dynamics, Chateau Margot Mangroves, Guyana’. It was funded jointly by the Mangrove Research of NAREI (Project #:2019-01) and the PhD Project, 107440 (IHE Delft – Deltares).
organizationsTU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Coastal Engineering, instead of Delft University of Technology;
IHE Delft Institute for Water Education, Department of Water Science and Engineering;
Deltares, Ecosystems and Sediment Dynamics (ESD), Marine and Coastal Systems : Applied Morphodynamics (AMO);
Guyana Restoration and Management Department, National Agricultural Research and Extension Institute (NAREI);
Ministry of Public Works, Guyana.
- [dataset] Bed level data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana
- [dataset] Concentration data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana
- [dataset] Mangrove data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana
- [dataset] Overview of datasets on Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana
- [dataset] Sediment properties data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana
- [dataset] Wave data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana