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A fully predictive model for aeolian sand transport
van Rijn, L.C.; Strypsteen, G. (2019). A fully predictive model for aeolian sand transport. Coast. Eng. In Press: 103600. https://hdl.handle.net/10.1016/j.coastaleng.2019.103600
In: Coastal Engineering: An International Journal for Coastal, Harbour and Offshore Engineers. Elsevier: Amsterdam; Lausanne; New York; Oxford; Shannon; Tokyo. ISSN 0378-3839; e-ISSN 1872-7379, meer
Peer reviewed article  

Beschikbaar in  Auteurs | Datasets 

Author keywords
    predictive model for wind-blown sand; supply-limiting effects on wind-blown sand

Auteurs  Top | Datasets 
  • van Rijn, L.C., meer
  • Strypsteen, G., meer

Abstract
    This paper presents the development, calibration and verification of a fully predictive model for wind-blown dry sand. The model is based on the modification of the well-known Bagnold equation by including the threshold shear velocity, which is also slightly modified to ensure a smoother transition from the non-transport regime to the transport regime. The sand transport rate is related to the static and dynamic grain roughness by using a semi-empirical roughness predictor, which is calibrated based on sand transport data from wind tunnel experiments with a flat mobile sand surface. The model input for dry sand is the wind velocity at one height above the surface and the sand characteristics (d50, d90). The effects of moisture, vegetation and shells on the sand transport process are included by fairly simple expressions which are acting on the shear velocity, the threshold value and the transport rate. In all, 105 high-quality data sets have been used for verification of the proposed predictive model. About 73% of the predicted values are within a factor of 2 of measured values of the transport rate.

Datasets (2)
  • Eolisch zandtransport (Koksijde, 2016-2018), meer
  • Eolisch zandtransport (Mariakerke, 2016-2018), meer

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