The Dynamic Equilibrium Shore Model for the Reconstruction and Future Projection of Coastal Morphodynamics

Deng, Junjie; Harff, Jan; Zhang, Wenyan; Schneider, R.; Dudzińska-Nowak, Joanna; Giza, Andrzej; Terefenko, Paweł; Furmańczyk, Kazimierz

doi:10.1007/978-3-319-49894-2_6

Cited by 18 publications

(14 citation statements)

References 15 publications

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“…The southern Baltic coast rises at around 0.01 m•a −1 [2]. Other authors, considering climatic changes and glacio-isostatic movements, estimated that the southern coast of the Baltic Sea is rising at an average speed of 0.02 m•a −1 [3].…”

Section: Introductionmentioning

confidence: 98%

The Impact of Sea Shore Protection on Aeolian Processes Using the Example of the Beach in Rowy, N Poland

2019

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The Polish Baltic Sea coast is subject to constant changes as a result of sea erosion on sandy and clayey sections. Sand accumulates only on a few sandy sections of the shore. There are various methods of protection limiting the negative impact of sea waves on the shore. In the city of Rowy, the coast was secured with the use of a comprehensive method (artificial reef, textile tube, spurs, and beach nourishment), which has mitigated the sea’s negative impact. The beach has been widened. The upper part of the beach has been built up to the level of the foredune. Biotechnical protection has not been applied at the border between the beach and the foredune (fascine hurdles from brushwood, sand fences, and branches). This has caused wind blowing of sand from the beach to the forest growing on the foredune. The sand also covered the access road to holiday resorts. This was favored by the strong wind from the sea. Several morphological surveys were carried out, including topographic surveys and sedimentological samplings. The range of sand coverage and types of forms (aeolian shadows and drifts) were determined. Fifty eight samples of sand from various sources were collected for sedimentological analysis. Speed and directions of winds that occurred in 2001–2018 were also analyzed. Three wind speed criteria were distinguished: ≥4 m·s-1, ≥10 m·s-1, and ≥15 m·s-1, responsible for blowing away and transporting material. Results indicate that reconstruction of the beach to the height of the foredune, lack of biotechnical protection, and strong, coastal directions of the wind were the main factors responsible for increased aeolian transport of sand inland. Effects of aeolian processes such as those observed on the beach in Rowy were not observed elsewhere on the Polish coast of the South Baltic Sea, where beach nourishment was also performed.

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Section: Introductionmentioning

confidence: 98%

The Impact of Sea Shore Protection on Aeolian Processes Using the Example of the Beach in Rowy, N Poland

2019

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“…Soft cliff coasts experience storms strongly, and they can retreat relatively fast. However, most monitoring systems, analyses, and models have been implemented along dune coasts [2][3][4][5][6], largely because of the technical difficulties in registering the morphological changes on cliff coasts. Despite such difficulties, mainly connected with accessibility of high cliffs, the factors influencing cliff erosion have been investigated through quantitative numerical methods.…”

Section: Introductionmentioning

confidence: 99%

“…The light detection and ranging (LiDAR) surveys enabled gathering datasets that were used to analyze erosion speed and its relationship to various elements that influence the geosystem of coastal cliff zones. The geomorphological analysis was based on several commonly considered indicators: sediment budgets [16], mean sea level contour [5,17], cliff base line [1,18], and cliff top line [19].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis

et al. 2019

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Cliff coasts are dynamic environments that can retreat very quickly. However, the short-term changes and factors contributing to cliff coast erosion have not received as much attention as dune coasts. In this study, three soft-cliff systems in the southern Baltic Sea were monitored with the use of terrestrial laser scanner technology over a period of almost two years to generate a time series of thirteen topographic surveys. Digital elevation models constructed for those surveys allowed the extraction of several geomorphological indicators describing coastal dynamics. Combined with observational and modeled datasets on hydrological and meteorological conditions, descriptive and statistical analyses were performed to evaluate cliff coast erosion. A new statistical model of short-term cliff erosion was developed by using a non-parametric Bayesian network approach. The results revealed the complexity and diversity of the physical processes influencing both beach and cliff erosion. Wind, waves, sea levels, and precipitation were shown to have different impacts on each part of the coastal profile. At each level, different indicators were useful for describing the conditional dependency between storm conditions and erosion. These results are an important step toward a predictive model of cliff erosion.

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“…Baart et al [4] presented an improved real-time system for the prediction of morphological impacts of storms, applied to the Dutch coast. Deng et al [5] elaborated a quantitative model to study coastal morphogenesis, including the reconstruction of the geological past and projection to future of the Southern Baltic Sea coast. Another coastal modelling example is found in [6], where equations were adjusted to match local conditions in two test sites under continuous video surveillance, in the Polish Baltic Sea coast.…”

Section: Introductionmentioning

confidence: 99%

A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level

et al. 2019

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This paper presents a new methodological process for detecting the instantaneous land-water border at sub-pixel level from mid-resolution satellite images (30 m/pixel) that are freely available worldwide. The new method is based on using an iterative procedure to compute Laplacian roots of a polynomial surface that represents the radiometric response of a set of pixels. The method uses a first approximation of the shoreline at pixel level (initial pixels) and selects a set of neighbouring pixels to be part of the analysis window. This adaptive window collects those stencils in which the maximum radiometric variations are found by using the information given by divided differences. Therefore, the land-water surface is computed by a piecewise interpolating polynomial that models the strong radiometric changes between both interfaces. The assessment is tested on two coastal areas to analyse how their inherent differences may affect the method. A total of 17 Landsat 7 and 8 images (L7 and L8) were used to extract the shorelines and compare them against other highly accurate lines that act as references. Accurate quantitative coastal data from the satellite images is obtained with a mean horizontal error of 4.38 ± 5.66 m and 1.79 ± 2.78 m, respectively, for L7 and L8. Prior methodologies to reach the sub-pixel shoreline are analysed and the results verify the solvency of the one proposed.

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The Dynamic Equilibrium Shore Model for the Reconstruction and Future Projection of Coastal Morphodynamics

Cited by 18 publications

References 15 publications

The Impact of Sea Shore Protection on Aeolian Processes Using the Example of the Beach in Rowy, N Poland

The Impact of Sea Shore Protection on Aeolian Processes Using the Example of the Beach in Rowy, N Poland

Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis

A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level

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