“…The wettest period appears in December-January and the driest in June-July (Van Maren et al, 2014). Flow velocities measured in Mandai during this study (both in a creek and in the forest) emphasized the consequences of anthropogenic interventions: flow velocities were significantly smaller than in studies of natural mangroves (Van Santen et al, 2007;Horstman, 2013;Horstman et al, 2015). These flow velocities were limited due to the blocking of longshore flows by the Johor causeway, and due to the very limited inland extent of the mangrove, limiting the tidal prism.…”
Section: Hindcaststhe Past Impacts Of Anthropogenic Interventionsmentioning
“…The wettest period appears in December-January and the driest in June-July (Van Maren et al, 2014). Flow velocities measured in Mandai during this study (both in a creek and in the forest) emphasized the consequences of anthropogenic interventions: flow velocities were significantly smaller than in studies of natural mangroves (Van Santen et al, 2007;Horstman, 2013;Horstman et al, 2015). These flow velocities were limited due to the blocking of longshore flows by the Johor causeway, and due to the very limited inland extent of the mangrove, limiting the tidal prism.…”
Section: Hindcaststhe Past Impacts Of Anthropogenic Interventionsmentioning
“…For both sets of instruments, the resulting data is pre-processed using filtering, averaging and data correction, similar to Horstman (2014). Inaccurate data is removed by only selecting data above a mean correlation threshold for the return signals of the ADV's receiver probes, which is 80% (Colosimo et al, 2020;Chanson et al, 2008).…”
Section: Processing Hydrodynamic Datamentioning
confidence: 99%
“…Mangroves have a high tolerance for harsh conditions in the intertidal area: tidal flooding, exposure to waves and varying degrees of salinity (Mazda et al, 1997;Mazda et al, 2006;Hogarth, 2015;Willemsen et al, 2015). Forming a buffer between land and sea, in areas with and without robust sea defences, mangroves contribute to the attenuation of wave energy and to the stabilization of the foreshore (Pilato, 2019;Hong Phuoc and Massel, 2006;Horstman, 2014). Waves propagating 45 through submerged and emergent vegetation lose energy due to the turbulent flow separation induced by the stems, roots and branches, resulting in the creation of a drag force.…”
Abstract. Coastal mangroves, thriving at the interface between land and sea, provide robust flood risk reduction. Projected increases in the frequency and magnitude of climate impact drivers such as sea level rise, wind and wave climatology reinforce the need to optimize the design and functionality of coastal protection works to increase resilience. Doing so effectively requires a sound understanding of the local coastal system. However, data availability particularly at muddy coasts remains a pronounced problem. As such, this paper captures a unique dataset for the Guyana coastline and focuses on relations between vegetation (mangrove) density, wave attenuation rates and sediment characteristics. These processes were studied along a cross-shore transect with mangroves fringing the coastline of Guyana. The data are publicly available at 4TU Centre for Research Data via https://doi.org/10.4121/c.5715269 (Best et al., 2022) where the Collection: Advancing Resilience Measures for Vegetated Coastline (ARM4VEG), Guyana comprises of six key datasets. Suspended-sediment concentrations typically exceeded 1 g/l with a maximum of 60 g/l, implying that we measured merely fluid mud conditions across a 1 m depth. Time series of wind waves and fluid-mud density variations, recorded simultaneously with tide elevation and suspended sediment data, indicate that wave/fluid-mud interactions in the nearshore may be largely responsible for the accumulation of fine, muddy sediment along the coast. Sediment properties reveal a consolidated underlying bed layer. Vegetation coverage densities in the Avicennia dominated forest were determined across the vertical with maximum values over the first 20 cm from the bed due to the roots and pneumatophores. Generalized total wave attenuation rates in the forest and along the mudflat were between 0.002–0.0032 m−1 and 0.0003–0.0004 m−1 respectively. Both the mangroves and the mudflats have a high wave damping capacity but the wave attenuation in the mangroves is presumably dominated by energy losses due to vegetation drag, since wave 30 attenuation due to bottom friction and viscous dissipation on the bare mudflats is significantly lower than those inside the mangrove vegetation. Data collected corroborate the coastal defence function of mangroves by quantifying their contribution to wave attenuation and sediment trapping. The explicit linking of these properties to vegetation structure facilitates modelling studies investigating the mechanisms determining the coastal defence capacities of mangroves.
“…Mangroves have a high tolerance for harsh conditions in the intertidal area: tidal flooding, exposure to waves and varying degrees of salinity (Mazda et al, 1997(Mazda et al, , 2006Hogarth, 2015;Willemsen et al, 2015;Ratnayake et al, 2018). Forming a buffer between land and sea, in areas with and without robust sea defences, mangroves contribute to the attenuation of wave energy and to the stabilization of the foreshore (Hong Phuoc and Massel, 2006;Horstman, 2014;Pilato, 2019). Waves propagating through submerged and emergent vegetation lose energy due to the turbulent flow separation induced by the stems, roots and branches, resulting in the creation of a drag force.…”
Abstract. Coastal mangroves, thriving at the interface between land and sea, provide
robust flood risk reduction. Projected increases in the frequency and
magnitude of climate impact drivers such as sea level rise and wind and wave
climatology reinforce the need to optimize the design and functionality of
coastal protection works to increase resilience. Doing so effectively
requires a sound understanding of the local coastal system. However, data
availability particularly at muddy coasts remains a pronounced problem. As
such, this paper captures a unique dataset for the Guyana coastline and
focuses on relations between vegetation (mangrove) density, wave attenuation
rates and sediment characteristics. These processes were studied along a
cross-shore transect with mangroves fringing the coastline of Guyana. The
data are publicly available at the 4TU Centre for
Research Data (4TU.ResearchData) via
https://doi.org/10.4121/c.5715269 (Best et al., 2022) where the
collection Advancing Resilience Measures for Vegetated Coastline (ARM4VEG), Guyana, comprises of six key datasets. Suspended sediment concentrations typically exceeded 1 g L−1 with a maximum of
60 g L−1, implying that we measured merely fluid-mud conditions across a 1 m depth. Time series of wind waves and fluid-mud density variations, recorded
simultaneously with tide elevation and suspended sediment data, indicate
that wave–fluid-mud interactions in the nearshore may be largely responsible
for the accumulation of fine, muddy sediment along the coast. Sediment
properties reveal a consolidated underlying bed layer. Vegetation coverage
densities in the Avicennia-dominated forest were determined across the vertical with
maximum values over the first 20 cm from the bed due to the roots and
pneumatophores. Generalized total wave attenuation rates in the forest and along the mudflat were between 0.002–0.0032 m−1 and 0.0003–0.0004 m−1
respectively. Both the mangroves and the mudflats have a high wave-damping
capacity. The wave attenuation in the mangroves is presumably dominated by
energy losses due to vegetation drag, since wave attenuation due to bottom
friction and viscous dissipation on the bare mudflats is significantly lower
than wave dissipation inside the mangrove vegetation. Data collected
corroborate the coastal defence function of mangroves by quantifying their
contribution to wave attenuation and sediment trapping. The explicit linking
of these properties to vegetation structure facilitates modelling studies
investigating the mechanisms determining the coastal defence capacities of
mangroves.
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