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Impact of coastline orientation on the dynamics of foredune growth (Łeba Barrier, south Baltic Sea coast, Poland)

Maciej Dłużewski
Maciej Dłużewski
, 
Joanna Rotnicka Dłużewska
Joanna Rotnicka Dłużewska
, 
Patrick Alan Hesp
Patrick Alan Hesp
, 
Joanna Oliwia Tomczak
Joanna Oliwia Tomczak
 e 
Lidiya Dubis
Lidiya Dubis
   | 31 ott 2023
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Pubblicato online: 31 ott 2023
Pagine: 147 - 156
Ricevuto: 21 lug 2023
Accettato: 31 ott 2023
DOI: https://doi.org/10.2478/mgrsd-2023-0020
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© 2023 Maciej Dłużewski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Location of the study area and Łeba weather station from which meteorological data was obtained for this study. Test sites 1 and 2 are shown in Figure 1bSource: own elaboration based on Google Earth.
Location of the study area and Łeba weather station from which meteorological data was obtained for this study. Test sites 1 and 2 are shown in Figure 1bSource: own elaboration based on Google Earth.

Figure 2.

Annual (a) and seasonal (b-e) wind roses of effective winds (≥ 6 m/s) and potential sand transport indices based on Fryberger & Dean's (1979) method (explanation in the text)Source: own elaboration based on hourly data (2002–2021) from Łeba weather station (IMGW-PIB)
Annual (a) and seasonal (b-e) wind roses of effective winds (≥ 6 m/s) and potential sand transport indices based on Fryberger & Dean's (1979) method (explanation in the text)Source: own elaboration based on hourly data (2002–2021) from Łeba weather station (IMGW-PIB)

Figure 3.

Relationship between elevation of the upper edge of swash zone and average sea level from two nearby tide-gauges.Source: own elaboration based on GPS-RTK measurements and hourly data (2002–2021) from Ustka and Łeba tide-gauges (IMGW-PIB)
Relationship between elevation of the upper edge of swash zone and average sea level from two nearby tide-gauges.Source: own elaboration based on GPS-RTK measurements and hourly data (2002–2021) from Ustka and Łeba tide-gauges (IMGW-PIB)

Figure 4.

Frequency distribution of potential aeolian sand transport rate (Q) for 2006–2017 calculated in wind speed classes of 1 m/s using Rotnicka's (2011b, 2013a) equations for saturated mass flux for dry and moist beach surfacesSource: own elaboration based on hourly data (2006–2017) from the Łeba weather station (IMGW-PIB)
Frequency distribution of potential aeolian sand transport rate (Q) for 2006–2017 calculated in wind speed classes of 1 m/s using Rotnicka's (2011b, 2013a) equations for saturated mass flux for dry and moist beach surfacesSource: own elaboration based on hourly data (2006–2017) from the Łeba weather station (IMGW-PIB)

Figure 5.

Beach-foredune topographic profiles at sites 1 and 2 derived from GPS-RTK profiling for the period 2006–2017. For locations see Figure 1bSource: own elaboration based on GPS-RTK profiling
Beach-foredune topographic profiles at sites 1 and 2 derived from GPS-RTK profiling for the period 2006–2017. For locations see Figure 1bSource: own elaboration based on GPS-RTK profiling

Figure 6.

Cumulative volume of sand deposited and eroded within the incipient foredunes for profiles 1 and 2 surveyed in the period 2006–2017Source: own elaboration based on GPS-RTK profile surveys
Cumulative volume of sand deposited and eroded within the incipient foredunes for profiles 1 and 2 surveyed in the period 2006–2017Source: own elaboration based on GPS-RTK profile surveys

Figure 7.

Relationships between potential sand transport rate (Q) calculated for onshore saturated mass flux for dry and moist beach surfaces and corresponding sediment budget (ΔV) within incipient foredune at Site 1. The cosine effect for sand transport rate is also shownSource: own elaboration based on hourly data (2006–2017) from the Łeba weather station (IMGW-PIB) and GPS RTK profiling
Relationships between potential sand transport rate (Q) calculated for onshore saturated mass flux for dry and moist beach surfaces and corresponding sediment budget (ΔV) within incipient foredune at Site 1. The cosine effect for sand transport rate is also shownSource: own elaboration based on hourly data (2006–2017) from the Łeba weather station (IMGW-PIB) and GPS RTK profiling
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Lingua:
Inglese
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