Nearshore sediment transport: Coupling sand tracer dynamics with oceanographic forcing

Bosnic, Ivana; Cascalho, João; Taborda, Rui; Drago, Teresa; HERMÍNIO, Joana Raquel Lima; Rosa, Marcos; Dias, Joaquim; Garel, Erwan

doi:10.1016/j.margeo.2017.02.004

Cited by 17 publications

(7 citation statements)

References 18 publications

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“…Sediment tracer studies (both artificial, Black et al., 2007; Bosnic et al., 2017; Elias et al., 2011, and natural, Hein et al., 2013; McGann et al., 2013; Reimann et al., 2015; Rosenbauer et al., 2013; Wong et al., 2013) offer a Lagrangian technique for identifying pathways but are challenging to execute and recover (Elias et al., 2011). Grain trend analysis (Duc et al., 2016; Gao & Collins, 1991; Le Roux & Rojas, 2007; McLaren, 2013; McLaren & Bowles, 1985; McLaren et al., 1998; Poizot et al., 2006, 2008; Velegrakis et al., 2007) and analysis of bedform asymmetry (Barnard, Erikson, et al, 2013; Bartholdy et al., 2002; Sha, 1989; Velegrakis et al., 2007) offer additional techniques for identifying sediment pathways.…”

Section: Methodsmentioning

confidence: 99%

Sediment Connectivity: A Framework for Analyzing Coastal Sediment Transport Pathways

et al. 2020

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Connectivity provides a framework for analyzing coastal sediment transport pathways, building on conceptual advances in graph theory from other scientific disciplines. Connectivity schematizes sediment pathways as a directed graph (i.e., a set of nodes and links). This study presents a novel application of graph theory and connectivity metrics like modularity and centrality to coastal sediment dynamics, exemplified here using Ameland Inlet in the Netherlands. We divide the study site into geomorphic cells (i.e., nodes) and then quantify sediment transport between these cells (i.e., links) using a numerical model. The system of cells and fluxes between them is then schematized in a network described by an adjacency matrix. Network metrics like link density, asymmetry, and modularity quantify system-wide connectivity. The degree, strength, and centrality of individual nodes identify key locations and pathways throughout the system. For instance, these metrics indicate that under strictly tidal forcing, sand originating near shore predominantly bypasses Ameland Inlet via the inlet channels, whereas sand on the deeper foreshore mainly bypasses the inlet via the outer delta shoals. Connectivity analysis can also inform practical management decisions about where to place sand nourishments, the fate of nourishment sand, or how to monitor locations vulnerable to perturbations. There are still open challenges associated with quantifying connectivity at varying space and time scales and the development of connectivity metrics specific to coastal systems. Nonetheless, connectivity provides a promising technique for predicting the response of our coasts to climate change and the human adaptations it provokes. Plain Language Summary The pathways that sand takes as it moves along coasts and estuaries are determined by a complex combination of waves, tides, geology, and other environmental or human factors. These pathways can be challenging to analyze and predict using existing approaches, so we turn to the concept of connectivity. Connectivity represents the pathways that sediment takes as a series of nodes and links, much like in a subway or metro map. This approach is well used in other scientific fields, but in this study we apply these techniques to a new research field: coastal sediment dynamics. To demonstrate the sediment connectivity approach, we use it to map sediment pathways at a coastal site in the Netherlands. The statistics computed using connectivity let us quantify and visualize these sediment pathways, revealing new insights into the coastal system. We can also use this approach to address practical engineering questions, such as where to place sand nourishments for coastal protection. Sediment connectivity thus provides a promising technique for predicting the response of our coasts to climate change and the human adaptations it provokes.

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Section: Methodsmentioning

confidence: 99%

Sediment Connectivity: A Framework for Analyzing Coastal Sediment Transport Pathways

et al. 2020

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“…Pantin, 1961; Crickmore, 1976; Miller & Komar, 1979; Black et al ., 2007). Sediment tracer studies provide valuable insights into sediment transport dynamics, improving the knowledge of sediment circulation, enabling effective planning, and monitoring of sand nourishments, assessment of connectivity between potential sediment sources and sinks, or proper dimensioning of structures for coastal protection (Silva et al ., 2007; Bosnic et al ., 2017; Pearson et al ., 2021). The technique relies upon the injection of natural or artificial particle tracers into a studied area and their subsequent recovery and analysis in the laboratory or, alternatively, their in situ determination.…”

Section: Introductionmentioning

confidence: 99%

“…The technique relies upon the injection of natural or artificial particle tracers into a studied area and their subsequent recovery and analysis in the laboratory or, alternatively, their in situ determination. In coastal environments, the use of sediment tracers has proved to be a reliable technique for the study of sediment transport, both in terms of a Eulerian approach determining net transport rates, and a Lagrangian approach tracking sediment particles (Silva et al ., 2007; Bosnic et al ., 2017; Wilson, 2018; Pearson et al ., 2021). Over the past three decades, various alternative methodologies for measuring sediment transport have emerged.…”

Section: Introductionmentioning

confidence: 99%

“…However, this method is no longer recommended due to safety concerns for human health and the environment (Ingle, 1966; Black, 2012). Since the 1960s, sand coated with fluorescent paint, dye or ink has become the standard particle tracking method (Abecasis et al ., 1962; Yasso, 1966; Vila‐Concejo et al ., 2004; Black et al ., 2007; Silva et al ., 2007; Bosnic et al ., 2017; Ciavola & Grottoli, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Testing magnetic tracers as indicators of sediment transport in a wave flume experiment

Romão,

Cascalho,

Ferreira

et al. 2024

Sedimentology

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The in situ measurement of sediment transport in wave‐dominated environments presents significant challenges and currently often relies upon the use of fluorescent sediment tracers. However, this method is constrained by challenges in conducting unbiased and representative sampling, as well as facing overall logistical complexities and labour‐intensive procedures. Whilst other tracer techniques are available, such as using magnetic tracers, their performance in tracking sediment transport has not been quantified. The objective of this study is to assess the effectiveness of magnetic tracers in evaluating net transport rates and tracer dispersal patterns. Conducted in a controlled large wave flume, the experiments simultaneously employed fluorescent and magnetic tracers, allowing a comprehensive comparison of the tracers' dispersion patterns and the net transport rates. Results show that the dispersal of magnetic and fluorescent tracers displays a high degree of spatial coherence in both horizontal and vertical dimensions. Similarly, net transport rates are comparable (<16% difference), both showing net transport in the direction of the wave propagation (towards onshore) driven by non‐linear and streaming effects. Magnetic tracer recovery rate (49%) was lower than for fluorescent tracers (73%) and is attributed to the loss of magnetic ink from particles; an aspect of the magnetic technique that requires improvement. This study therefore indicates that the use of magnetic tracers to quantify sediment transport is an effective method with the advantages of being significantly less labour‐intensive than using the commonly applied fluorescent sediment tracer method.

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“…Knowledge of sediments dynamics process is still poor [5]. In recent years, some models of sediment transport have developed [6,7] and researchers' attention to this problem has increased [8,9].…”

Section: Introductionmentioning

confidence: 99%

Element Content in Volcano Ash, Soil and River Sediments of the Watershed in the Volcanic Area of South Iceland and Assessment of Their Mobility Potential

Đorđević

Sakan

Trifunović

et al. 2021

Water

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In this work, we present the results of element content in river sediments and soil of the Rangárvellir river in southern Iceland as well as in the volcano ash from the Eyjafjallajökull eruption in 2010. Severe natural catastrophes have devastating impact on the environment. We selected the Rangárvellir area located in the vicinity of Mt Hekla, Iceland’s most active volcano, for our study. This study site is ideal to investigate wind and water erosion and sediment transport processes of two main glaciers rivers: the Eystri-Rangá and the Ytri-Rangá and the Hroarslækur River. Sediments of these rivers consist of volcano materials, ash and lava. In order to assess the sediment dynamics, we collected sediment, soil and volcanic ash. The fractioning of the elements was carried out using sequential extractions. The distribution of Si indicates that the sediments originate from the same geochemical basis. Li and partly B exist in the first phase of volcanic ash and river sediments but not in the mobile phases of soils. In the mobile phase of volcanic ash, P was found but it did not exist in the first phase of soil and sediments. These results suggest the different chemical fingerprints in the water sediments and surrounding soil.

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Nearshore sediment transport: Coupling sand tracer dynamics with oceanographic forcing

Cited by 17 publications

References 18 publications

Sediment Connectivity: A Framework for Analyzing Coastal Sediment Transport Pathways

Sediment Connectivity: A Framework for Analyzing Coastal Sediment Transport Pathways

Testing magnetic tracers as indicators of sediment transport in a wave flume experiment

Element Content in Volcano Ash, Soil and River Sediments of the Watershed in the Volcanic Area of South Iceland and Assessment of Their Mobility Potential

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