A fully predictive model for aeolian sand transport

Rijn, Leo C. van; Strypsteen, Glenn

doi:10.1016/j.coastaleng.2019.103600

Cited by 30 publications

(61 citation statements)

References 65 publications

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“…The saturated aeolian sediment transport rate q s [kg/m/hr] is calculated by a modified Bagnold model [21,59]:…”

Section: Calculation Procedures Of Potential Aeolian Sediment Transportmentioning

confidence: 99%

“…For the Bagnold factor, a value of α B = 2 was chosen to represent naturally graded sand [21,22]. The mean particle size was defined with d 50 = 218 µm [36], and the reference sediment diameter was d 50,ref = 250 µm as a standard value for dune sand [60].…”

Section: Calculation Procedures Of Potential Aeolian Sediment Transportmentioning

confidence: 99%

“…where A [-] is an empirical constant (here: 0.11) [21,75] and ρ s = 2650 kg/m 3 is the density of sand grains. With the given parameters for Langeoog [36], the critical shear velocity at the study site can be calculated as u *t = 0.24 m/s.…”

Section: Calculation Procedures Of Potential Aeolian Sediment Transportmentioning

confidence: 99%

“…Studies of coastal dune development typically focus on measuring short-term transport processes at timescales of hours to days [5,36,61,87]. These studies often show good results between predicted and observed potential aeolian sediment transport [21,36]. Coastal dune development is also commonly studied by measuring long-term topographical changes on timescales of months to years and related to sediment transport equations [7,74,88,89].…”

Section: Correlation Between Dune Volume Changes and Potential Aeolian Sediment Transportmentioning

confidence: 99%

“…The literature on aeolian sediment transport can, e.g., be found in dune system a major challenge when utilizing building with nature methods for designing coastal protection measures [6,19,20]. The literature on aeolian sediment transport can, e.g., be found in BAGNOLD (1941) [21], VAN RIJN AND STRYPSTEEN (2019) [7], BAAS AND SHERMAN (2006) [20] or SHERMAN et al (2012) [22].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Sand Trapping Fences on Dune Toe Growth and Its Relation with Potential Aeolian Sediment Transport

Eichmanns

Schüttrumpf

2021

JMSE

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This study provides insights into dune toe growth around and between individual brushwood lines of sand trapping fences at the dune toe of coastal dunes using digital elevation models obtained from repeated unmanned aerial vehicle surveys. Prevailing boundary conditions, especially sediment supply, as well as the porosity and arrangement of the installed sand trapping fences significantly influence the effectiveness of different configurations of sand trapping fences. The dune toe growth is significant immediately after constructing a new sand trapping fence and decreases over time. According to the results presented in this study, for sand trapping fences that have been in place longer, the protruding branch height and the porosity of the remaining branches play a minor role in trapping sand. Sand trapping fences with lower permeability favour localized coastal dune toe growth directly at their brushwood lines, whereas fences with higher porosity allow for more sediment deposition further downwind. The trend in dune toe changes can be roughly predicted by integrating potential sediment transport rates calculated with hourly meteorological data.

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“…The saturated aeolian sediment transport rate q s [kg/m/hr] is calculated by a modified Bagnold model [21,59]:…”

Section: Calculation Procedures Of Potential Aeolian Sediment Transportmentioning

confidence: 99%

Section: Calculation Procedures Of Potential Aeolian Sediment Transportmentioning

confidence: 99%

Section: Calculation Procedures Of Potential Aeolian Sediment Transportmentioning

confidence: 99%

Section: Correlation Between Dune Volume Changes and Potential Aeolian Sediment Transportmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Influence of Sand Trapping Fences on Dune Toe Growth and Its Relation with Potential Aeolian Sediment Transport

Eichmanns

Schüttrumpf

2021

JMSE

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Predicting monthly to multi‐annual foredune growth at a narrow beach

Ruessink

Sterk

Smit

et al. 2022

Earth Surf Processes Landf

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An open‐source quantitative model for predicting coastal foredune growth at monthly to multi‐annual (meso)temporal scales is developed. The model builds on the established fetch framework as a surrogate for the complex micro‐scale aeolian processes on the beach, to which rain and groundwater‐induced spatiotemporal surface moisture dynamics are added as factors limiting aeolian sand supply to foredunes. The model shows great skill in an application at Egmond aan Zee, The Netherlands, with a predicted growth of 16.5 m3/m/yr comparing favourably to the observed growth of 17.3 m3/m/yr. Rain, surface moisture dynamics as well as beach width reduction by storm‐induced elevated sea levels are shown to be important factors that jointly reduce meso‐scale sand supply below the potential (i.e., unlimited) maximum, in our case study by almost 5 m3/m/yr. These factors are most relevant for strong (here, above 15.5 m/s) onshore winds. Consistent with expectations from the literature, meso‐scale foredune growth results primarily from moderately strong (9.5–12.5 m/s) shore‐oblique winds, which are frequent and do not result in supply‐limited conditions. At the study site these winds are most common in winter and hence foredune growth is predicted to vary seasonally, consistent with the observations. Because of the promising results we believe that our model has potential for quantifying how quickly a foredune can recover after an episodic erosion event because of storm waves.

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A general model for predicting aeolian transport rate over sand surfaces with vegetation cover

Liu

Cao

et al. 2022

Earth Surf Processes Landf

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Aeolian sand transport is caused by wind erosion, which is the main cause of environmental problems such as land desertification, blown sand disasters and air pollution. Previous research results and engineering practices have confirmed that vegetation improvement has long‐term and comprehensive benefits for controlling aeolian sand transport. The role of vegetation in aeolian sand transport can be explained by the complexity of atmospheric, earth and biosphere systems. However, the lack of a universal model used to predict aeolian transport rate on vegetated surface results in different understandings about vegetation effects due to different experimental methods and materials. To clarify the effect of vegetation on aeolian sand transport, we used a large wind tunnel whose experimental section was 24.0 m‐long, 3.0 m‐wide and 2.0‐m high to provide enough length for aeolian transport and designed a set of novel experimental methods to improve the measurement accuracy of the aeolian transport rate. Based on experimental data, we developed a new equation for aeolian transport rate over bare and vegetated surfaces. We determined that models of aeolian transport rate over bare surface in the literature underestimated the aeolian transport rate measured in this study by 63–80%, 89%, 50% and 35%, confirming that the transport rate decreases exponentially as vegetation coverage increases. However, the power exponent is a variable related to particle size and wind velocity as opposed to a constant in the existing literature; thus, we proposed a dimensionless parameter to express the relationship between the power exponent with particle size and wind velocity and constructed the new equation for vegetated surfaces to be more widely applicable. These results would help to understand the effect of vegetation cover on aeolian sand transport process and to improve the effectiveness of vegetation prevention and control.

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A fully predictive model for aeolian sand transport

Cited by 30 publications

References 65 publications

Influence of Sand Trapping Fences on Dune Toe Growth and Its Relation with Potential Aeolian Sediment Transport

Influence of Sand Trapping Fences on Dune Toe Growth and Its Relation with Potential Aeolian Sediment Transport

Predicting monthly to multi‐annual foredune growth at a narrow beach

A general model for predicting aeolian transport rate over sand surfaces with vegetation cover

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