Determining openness and energy filtering in coastal areas using geographic information systems

Lindgren, Dan

doi:10.1016/j.ecss.2010.10.018

Cited by 5 publications

(12 citation statements)

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“…More detailed descriptions of these parameters can be found in Persson and Håkanson, 27 Persson et al 33 and Lindgren. 32 Note that some parameter abbreviations agree with the more recent publications and may hence differ slightly from Persson and Håkanson. 27 The filter factor (Ff) is a type of wave fetch index 34,35 that has shown correlation with bottom dynamic conditions in Swedish coastal areas.…”

Section: Morphometric Parameterssupporting

confidence: 58%

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Assessment of the Relationship between Coastal Morphometry, Bottom Dynamic Conditions and the Critical Depth

Lindgren

Karlsson

2011

Air, Soil and Water Research

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Coastal sediment can be classified by functional bottom type, depending on whether cohesive fine material is eroded (E), transported (T) or deposited/accumulated (A) there. The assessment of such bottom dynamic conditions is useful in many ways, including as a fundament for structuring mass balance models. In this paper more than 200 recently investigated Swedish coastal areas were analyzed using geographic information systems (GIS). Statistical relationships between morphometry, the average proportion of A-areas (BA) and the average critical depth (D TA), which separates ET-areas from A-areas, were investigated. Many morphometric parameters showed significant correlation with both BA and D TA and multiple regression models were obtained that could explain much of the variation in these parameters. Parameters describing sheltering effects from islands, mean depth and mean slope were important in this context. Large differences were found in empirical BA-values from two different sources. Furthermore, a new empirical dataset was presented for 209 Swedish coastal areas.

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Section: Morphometric Parameterssupporting

confidence: 58%

“…Based on previous studies 27,32 morphometric parameters that could possibly influence bottom dynamic conditions were selected for analysis (Table 2). More detailed descriptions of these parameters can be found in Persson and Håkanson, 27 Persson et al 33 and Lindgren.…”

Section: Morphometric Parametersmentioning

confidence: 99%

Assessment of the Relationship between Coastal Morphometry, Bottom Dynamic Conditions and the Critical Depth

Lindgren

Karlsson

2011

Air, Soil and Water Research

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“…The relatively higher sand content during 5.4-4.4 cal ka BP may also be associated with the increased sand transport when Gåsfjärden had a relatively larger crosssectional area. Based on an analysis of 201 sites along the Swedish coast characterised by complex bathymetry, Lindgren and Karlsson (2011) estimated that the mean critical depth separating the depositional areas from the erosion and transport areas is located at 19 m. At present, our coring site has a water depth of 31 m. The relatively deeper water depth (sediment dominated by transport, instead of erosion) to-gether with sheltered condition resulted in the low sand content.…”

Section: Implications For Sediment Grain-size Distributionsmentioning

confidence: 80%

“…The result of the quantified coastal morphometry was found to be significantly correlated with bottom water dynamics (Persson and Håkanson, 1995) and deepwater turnover time (Persson and Håkanson, 1996). There are also other GIS-based indices that exist for describing coastal openness and wave exposure (Ekebom et al, 2003;Tolvanen and Suominen, 2005), and these GIS-based methods have also been applied to investigate sediments grain-size distributions from lakes and coastal zones (Håkanson, 1977;Lindgren and Karlsson, 2011). However, these aforementioned indices are restricted to depicting the modern coastal morphometry and have not yet been employed in a palaeoenvironmental context.…”

Section: Introductionmentioning

confidence: 99%

Long-term coastal openness variation and its impact on sediment grain-size distribution: a case study from the Baltic Sea

2016

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Abstract. We analysed the long-term variations in grain-size distribution in sediments from Gåsfjärden, a fjord-like inlet in the southwestern Baltic Sea, and explored potential drivers of the recorded changes in the sediment grain-size data. Over the last 5.4 thousand years (ky) in the study region, the relative sea level decreased 17 m, which was caused by isostatic land uplift. As a consequence, Gåsfjärden was transformed from an open coastal setting to a semi-closed inlet surrounded by numerous small islands on the seaward side. To quantitatively estimate the morphological changes in Gåsfjärden over the investigated time period and to further link the changes to the grain-size distribution data, a digital elevation model (DEM)-based openness index was calculated. The largest values of the openness indices were found between 5.4 and 4.4 cal ka BP, which indicates relatively high bottom water energy. During the same period, the highest sand content (∼  0.4 %) and silt / clay ratio ( ∼  0.3) in the sediment sequence were also recorded. After 4.4 cal ka BP, the average sand content was halved to ∼  0.2 % and the silt / clay ratio showed a significant decreasing trend over the last 4 ky. These changes were found to be associated with the gradual embayment of Gåsfjärden, as represented by the openness indices. The silt  /  clay ratios exhibited a delayed and relatively slower change compared with the sand content, which indicates different grain-size sediment responses to the changes in hydrodynamic energy. Our DEM-based coastal openness indices have proved to be a useful tool for interpreting the temporal dynamics of sedimentary grain size.

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Section: Implications For Sediment Grain-size Distributionsmentioning

confidence: 80%

Tang et al., replies to RC1

Tang¹

2016

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We analysed the long-term variations in grain-size distribution in sediments from Gåsfjärden, a fjordlike inlet in the southwestern Baltic Sea, and explored potential drivers of the recorded changes in the sediment grain-size data. Over the last 5.4 thousand years (ky) in the study region, the relative sea level decreased 17 m, which was caused by isostatic land uplift. As a consequence, Gåsfjärden was transformed from an open coastal setting to a semi-closed inlet surrounded by numerous small islands on the seaward side. To quantitatively estimate the morphological changes in Gåsfjärden over the investigated time period and to further link the changes to the grain-size distribution data, a digital elevation model (DEM)-based openness index was calculated. The largest values of the openness indices were found between 5.4 and 4.4 cal ka BP, which indicates relatively high bottom water energy. During the same period, the highest sand content ( ∼ 0.4 %) and silt / clay ratio (∼ 0.3) in the sediment sequence were also recorded. After 4.4 cal ka BP, the average sand content was halved to ∼ 0.2 % and the silt / clay ratio showed a significant decreasing trend over the last 4 ky. These changes were found to be associated with the gradual embayment of Gåsfjärden, as represented by the openness indices. The silt / clay ratios exhibited a delayed and relatively slower change compared with the sand content, which indicates different grain-size sediment responses to the changes in hydrodynamic energy. Our DEM-based coastal openness indices have proved to be a useful tool for interpreting the temporal dynamics of sedimentary grain size.

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Determining openness and energy filtering in coastal areas using geographic information systems

Cited by 5 publications

References 44 publications

Assessment of the Relationship between Coastal Morphometry, Bottom Dynamic Conditions and the Critical Depth

Assessment of the Relationship between Coastal Morphometry, Bottom Dynamic Conditions and the Critical Depth

Long-term coastal openness variation and its impact on sediment grain-size distribution: a case study from the Baltic Sea

Tang et al., replies to RC1

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