Geostatistical mapping of marine surficial sediment types in the Northern Aegean Sea using indicator kriging

Zananiri, I.; Vakalas, I.

doi:10.1007/s00367-019-00581-3

Cited by 5 publications

(6 citation statements)

References 19 publications

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“…Regarding the composition of the sediments accumulating in the basin through the aforementioned fluvial systems (Strymonas, Nestos, and Evros), as expected, the controlling factor lies in the subaerial exposures of Macedonia and Thraki districts geological Regarding the composition of the sediments accumulating in the basin through the aforementioned fluvial systems (Strymonas, Nestos, and Evros), as expected, the controlling factor lies in the subaerial exposures of Macedonia and Thraki districts geological formations, providing through erosion a variety of materials consisting mainly of post-Alpine sediments, Eocene and Miocene granitoids, Triassic marbles, and Paleozoic gneisses. The various processes involved in sediment transport are imprinted in the variety of grain-size textures identified in the basin floor, where the entire range of grain sizes (gravely sands to clays) have been identified [14,19]. Close to the coastal area, coarser fractions are dominant (gravel and sand), while at the deeper parts, muddy deposits cover the seafloor.…”

Section: Figurementioning

confidence: 99%

“…The North Aegean continental shelf, located to the east of the Chalkidiki Peninsula, is a relatively flat plateau with limited variations in its morphology. However, the sediment types present in this region vary significantly, with sand fractions exceeding 40% of the analyzed sediment, thus being of particular interest for raw material exploitation, according to sources [13,23,24] (Figure 2). The distribution of sediment in this region is influenced by hydrodynamic conditions, with fine-grained sediments dominating in low-energy areas and significant sand content in other regions.…”

Section: Figurementioning

confidence: 99%

“…In order to identify sediment distribution patterns, a dataset of 323 point granulometry data, from samples collected during previous field campaigns [14,25], was used. The study area, comprising the northern coastal and open sea of Aegean (Figure 2), covered the region between the Chalkidiki Peninsula and Samothraki Island.…”

Section: Sampling Effort and Laboratory Testingmentioning

confidence: 99%

“…The HSGME marine geology geodatabase [10] encompasses up to 25,000 km of bathymetry and seismic profiles, 3500 surface grab samples (from the upper ~15 cm of the seafloor), and 1200 cores (up to 3.5 m long) analyzed at the laboratories of HSGME, with a focus on sedimentology, and specifically, the distribution of grain size and related statistical parameters [11]. Through the interpretation of this data, sediment distribution maps (scale 1:200,000) have been constructed for the Aegean region [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Net Transport Patterns of Surficial Marine Sediments in the North Aegean Sea, Greece

Vakalas,

Zananiri

2024

JMSE

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The spatial distribution of sediments on the seafloor reflects the various dynamic processes involved in the marine realm. To analyze sediment transport patterns in the North Aegean Sea, 323 surficial samples were obtained and studied. The granulometry data revealed a diverse range of grain sizes of surficial sediments, ranging from purely sandy to clay. The predominant size classes were silt and muddy sand, followed by sandy silt and mud. However, there were very few samples that fell within the clay classes. The sorting coefficient ranged from 0.21 to 5.48, while skewness ranged from −1.09 to 1.29. The sediment transport patterns were analyzed based on the grain-size parameters (mean, sorting, and skewness). The results showed the variability of flow parameters involved in sediment distribution. River influx and longshore drift near the shoreline are the most significant factors affecting sediment transport. At the open sea, sediment distribution is mainly controlled by general water circulation patterns, especially by the outflow of low-salinity waters from the Black Sea through the Dardanelles and the Marmara Sea. The heterogeneity of sediment textural parameters across the study area suggests that seafloor sediments are further reworked in areas where water masses are highly energetic. It can be concluded that open sea water circulation controls sediment distribution patterns at the open shelf, while close to the coast, river discharge plays a key role.

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Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Sampling Effort and Laboratory Testingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Net Transport Patterns of Surficial Marine Sediments in the North Aegean Sea, Greece

Vakalas,

Zananiri

2024

JMSE

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“…Geostatistical interpolation techniques are often applied in environmental analyses on, e.g., atmospheric [32][33][34], terrestrial [35][36][37], freshwater [38], and marine ecosystems [39][40][41], to generate a spatial surface prediction of a target variable from point measurements [42]. In this context, geostatistical interpolation algorithms, such as Kriging, are probabilistic methods relying on variogram models that account for the spatial structure of measured values at given locations and their overall spatial arrangement, as well as the prediction location [43].…”

Section: Introductionmentioning

confidence: 99%

Default versus Configured-Geostatistical Modeling of Suspended Particulate Matter in Potter Cove, West Antarctic Peninsula

Neder

Sahade

Abele

et al. 2020

Fluids

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The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in the water column, which has a high impact on sessile filter feeder’ species at PC located at the West Antarctic Peninsula. SPM presents a highly-fluctuating dynamic pattern on a daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information and thereby to improve the ecological understanding of environmental variables, which is often fundamental for guiding decision-makers and scientists. In this study, we compared the results of default and configured settings of three geostatistical algorithms (Simple Kriging, Ordinary Kriging, and Empirical Bayesian) and developed a performance index. In order to interpolate SPM data from the summer season 2010/2011 at PC, the best performance was obtained with Empirical Bayesian Kriging (standard mean = −0.001 and root mean square standardized = 0.995). It showed an excellent performance (performance index = 0.004), improving both evaluation parameters when radio and neighborhood were configured. About 69% of the models showed improved standard means when configured compared to the default settings following a here proposed guideline.

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Comparison between different spatial interpolation methods for the development of sediment distribution maps in coastal areas

2023

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Sediment grain size and its spatial distribution is a very important aspect for many applications and processes that occur in the coastal zone. One of these is coastal erosion which is strongly dependent on sediment distribution and transportation. To highlight this fact, surficial coastal sediments were collected from a densely populated coastal zone in Western Greece, which suffers extensive erosion, and grain size distribution was thoroughly analysed, to predict the spatial distribution of the median grain size diameter (D50) and produce sediment distribution maps. Four different geostatistical interpolation techniques (Ordinary Kriging, Simple Kriging, Empirical Bayesian Kriging and Universal Kriging) and three deterministic (Radial Basis Function, Local Polynomial Interpolation, and Inverse Distance Weighting) were employed for the construction of the respective surficial sediment distribution maps with the use of GIS. Moreover, a comparative study between the deterministic and geostatistical approaches was applied and the performance of each interpolation method was evaluated using cross-validation and estimating the Pearson Corellation and the coefficient of determination (R2). The best interpolation technique for this research proved to be the Ordinary Kriging for the shoreline materials and the Empirical Bayesian Kriging (EBK) for the seabed materials since both had the lowest prediction errors and the highest R2.

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Geostatistical mapping of marine surficial sediment types in the Northern Aegean Sea using indicator kriging

Cited by 5 publications

References 19 publications

Net Transport Patterns of Surficial Marine Sediments in the North Aegean Sea, Greece

Net Transport Patterns of Surficial Marine Sediments in the North Aegean Sea, Greece

Default versus Configured-Geostatistical Modeling of Suspended Particulate Matter in Potter Cove, West Antarctic Peninsula

Comparison between different spatial interpolation methods for the development of sediment distribution maps in coastal areas

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