The application of geostatistics in defining the characteristic distance for grain size trend analysis

Poizot, Emmanuel; Méar, Yann; Thomas, M.; Garnaud, Sébastien

doi:10.1016/j.cageo.2005.06.023

Cited by 63 publications

(43 citation statements)

References 36 publications

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“…In the twodimensional GSTA of Gao and Collins (1992), the sitespecific mean, sorting and skewness are compared with corresponding values at neighbouring locations in all directions. Using geostatistical tools, Poizot et al (2006) slightly modified the initial Gao and Collins (1992) method, and Poizot and Méar (2010) developed a computer program which opens up new perspectives for GSTA investigations.…”

Section: Disturbance Depth and Sediment Transportmentioning

confidence: 99%

“…Wilcoxon tests were conducted to check whether the interpolated grid differed from the original dataset in terms of information content (cf. Poizot et al 2006;Poizot and Méar 2008).…”

Section: Regular Grid Generationmentioning

confidence: 99%

“…Le Roux (1994) used the four closest neighbours at a given location, and developed a complex procedure based on weighted vectors to define vector trends. Poizot et al (2006) chose semi-variogram geostatistics to assess the dilution of spatial autocorrelation of the studied variable (mean, sorting, skewness) as a function of the spacing between sample points. Since it can be used to determine the distance at which no autocorrelation exists, this approach is considered to represent the best way of defining the characteristic distance.…”

Section: Characteristic Distancementioning

confidence: 99%

“…The main aim of the present study was to evaluate the usefulness of an improved GSTA method proposed by Poizot et al (2006) and Méar (2008, 2010), which was tested in a field assessment carried out during a tidal cycle at Camposoto beach in SW Spain. The resulting sediment transport vector fields were then compared with data obtained from independent, reliable but more timeconsuming methods-fluorescent tracers, microtopography and current measurements-by Bellido et al (2011).…”

Section: Introductionmentioning

confidence: 99%

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Confirmation of beach accretion by grain-size trend analysis: Camposoto beach, Cádiz, SW Spain

et al. 2013

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An application of the grain size trend analysis (GSTA) is used in an exploratory approach to characterize sediment transport on Camposoto beach (Cádiz, SW Spain). In May 2009 the mesotidal beach showed a well-developed swash bar on the upper foreshore, which was associated with fair-weather conditions prevailing just before and during the field survey. The results were tested by means of an autocorrelation statistical test (index I of Moran). Two sedimentological trends were recognized, i.e. development towards finer, better sorted and more negatively skewed sediment (FB-), and towards finer, better sorted and less negatively or more positively skewed sediment (FB+). Both vector fields were compared with results obtained from more classical approaches (sand tracers, microtopography and current measurements). This revealed that both trends can be considered as realistic, the FB+ trend being identified for the first time in a beach environment. The data demonstrate that, on the well-developed swash bar, sediment transported onshore becomes both finer and better sorted towards the coast. On the lower foreshore, which exhibits a steeper slope produced by breaking waves, the higherenergy processes winnow out finer particles and thereby produce negatively skewed grain-size distributions. The upper foreshore, which has a flatter and smoother slope, is controlled by lower-energy swash-backwash and overwash processes. As a result, the skewness of the grain-size distributions evolves towards less negative or more positive values. The skewness parameter appears to be distributed as a function of the beach slope and, thus, reflects variations in hydrodynamic energy. This has novel implications for coastal management.

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Section: Disturbance Depth and Sediment Transportmentioning

confidence: 99%

“…Wilcoxon tests were conducted to check whether the interpolated grid differed from the original dataset in terms of information content (cf. Poizot et al 2006;Poizot and Méar 2008).…”

Section: Regular Grid Generationmentioning

confidence: 99%

Section: Characteristic Distancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Confirmation of beach accretion by grain-size trend analysis: Camposoto beach, Cádiz, SW Spain

et al. 2013

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“…beaches, rivers, continental shelves. Among these applications of sediment trend analysis, the two dimensional and most widely used in open marine environments for the definition of trend vectors approach is the Grain Size Trend Analysis (GSTA)method, introduced by Gao and Collins (1991;1992;1994) and assessed positively by Poizot (2006).The technique can be applied to inner continental shelves and coastal environments and has been appliedin several cases with varying success (e.g. Rhone River coast by Masselink (1992), La Salie beach at Southwest French coast by , the Belgian continental shelf by Pedreros et al (1996) and Van Wesenbeeck & Lanckneus (2000).…”

Section: Introductionmentioning

confidence: 99%

The application of grain size trend analysis in the fine grained seabed sediment of Alexandroupolis Gulf.

Karditsa

Πούλος

2016

geosociety

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Grain size trend analysis is a method that determines sediment transport direction, based on the relationship of grain size parameters (mean size, sorting, skewness). The application of the method in the seabed sediments of Alexandroupolis Gulf showed that there are three different sub areas of distinctive sediment movement of bottom sediments (water depths <40 m):(i) the eastern part, which is mainly influenced by the Evros river water/sediment influxes; (ii) the central part that is primarily controlled by the wave activity; and, (iii) the western part that is mainly influenced by the wind driven and/or thermo-saline coastal circulation.

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Sediment Connectivity: A Framework for Analyzing Coastal Sediment Transport Pathways

Pearson

Prooijen

Elias

et al. 2020

Preprint

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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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The application of geostatistics in defining the characteristic distance for grain size trend analysis

Cited by 63 publications

References 36 publications

Confirmation of beach accretion by grain-size trend analysis: Camposoto beach, Cádiz, SW Spain

Confirmation of beach accretion by grain-size trend analysis: Camposoto beach, Cádiz, SW Spain

The application of grain size trend analysis in the fine grained seabed sediment of Alexandroupolis Gulf.

Sediment Connectivity: A Framework for Analyzing Coastal Sediment Transport Pathways

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