scholarly journals New Method for Estimation of Aeolian Sand Transport Rate Using Ceramic Sand Flux Sensor (UD-101)

Sensors ◽  
2009 ◽  
Vol 9 (11) ◽  
pp. 9058-9072 ◽  
Author(s):  
Keiko Udo
Keyword(s):  
New Method ◽  
Transport Rate ◽  
Sand Transport ◽  
Aeolian Sand ◽  
Sand Transport Rate ◽  
Aeolian Sand Transport ◽  
Sand Flux ◽  
Flux Sensor

Influence of vegetation on aeolian sand transport rate from a backshore to a foredune at Hasaki, Japan

Sedimentology ◽  
2005 ◽  
Vol 52 (5) ◽  
pp. 1123-1132 ◽  
Author(s):  
YOSHIAKI KURIYAMA ◽  
NORIO MOCHIZUKI ◽  
TSUYOSHI NAKASHIMA
Keyword(s):  
Transport Rate ◽  
Sand Transport ◽  
Aeolian Sand ◽  
Sand Transport Rate ◽  
Aeolian Sand Transport

scholarly journals FIELD MEASUREMENT OF AEOLIAN SAND FLUX USING CERAMIC SAND FLUX SENSOR UD-101 AT A SAND DUNE

2011 ◽  
Vol 1 (32) ◽  
pp. 109
Author(s):  
Keiko Udo ◽  
Junaidi Junaidi ◽  
Shin-ichi Aoki ◽  
Shota Mitsushio ◽  
Shigeru Kato ◽  
...  
Keyword(s):  
Wind Velocity ◽  
Sand Dune ◽  
Field Measurements ◽  
Sand Transport ◽  
Aeolian Sand ◽  
Aeolian Sand Transport ◽  
Charnock Constant ◽  
Sand Flux ◽  
Transport Flux ◽  
Flux Sensor

This study conducted field observations in terms of the number of blown sand impacts and wind velocity at an open ocean beach in Japan, in order to investigate characteristics of the aeolian sand transport flux over a sand dune slope. Charnock constant of a roughness length equation calculated from wind velocity data had a larger value over the slope compared to over a flat. Furthermore, the aeolian flux over the slope tended to be larger than that over the flat. Characteristics of the Charnock constant and the aeolian flux over the flat and the slope were demonstrated from the field measurements.

scholarly journals Toward a large-scale particle-based parallel simulator of Aeolian sand transport, including a model for mobile sand availability

2021 ◽  
Vol 249 ◽  
pp. 13004
Author(s):  
Sandesh Kamath ◽  
Eric Parteli
Keyword(s):  
Large Scale ◽  
Strong Dependence ◽  
Horizontal Wind ◽  
Sand Transport ◽  
Aeolian Sand ◽  
Hydrodynamic Description ◽  
Parallel Simulations ◽  
Grid Coarsening ◽  
Aeolian Sand Transport ◽  
Sand Flux

We develop a numerical tool for particle-based simulations of Aeolian sand transport. Our model combines a Discrete-Element-Method for the sand particles with an efficient hydrodynamic description of the average turbulent horizontal wind velocity field over the granular bed, which has been developed in previous work and accounts for the two-way coupling of the granular and fluid phases. However, here we implement our model within the open source library LAMMPS for granular massively parallel simulations and incorporate a new grid coarsening scheme for the wind model. We show that our model quantitatively reproduces observed values of the steady-state (saturated) sand flux under various flow conditions. Furthermore, we model different conditions of mobile sand availability and find a strong dependence of the sand flux on this availability.

scholarly journals Using Video Monitoring to Test a Fetch-Based Aeolian Sand Transport Model

2020 ◽  
Vol 8 (2) ◽  
pp. 110 ◽  
Author(s):  
Pam Hage ◽  
Gerben Ruessink ◽  
Zilla van Aartrijk ◽  
Jasper Donker
Keyword(s):  
Wind Velocity ◽  
Transport Model ◽  
Transport Rate ◽  
Beach Sand ◽  
Sand Transport ◽  
Winter Period ◽  
Aeolian Sand ◽  
Aeolian Transport ◽  
Aeolian Sand Transport ◽  
Strong Winds

Transport of beach sand to the foredune by wind is essential for dunes to grow. The aeolian sand transport rate is related to wind velocity, but wind-based models often overpredict this transport for narrow beaches (<100 m). To better predict aeolian sand transport, the fetch-based Aeolus model was developed. Here, we qualitatively test this model by comparing its transport-rate output to visual signs of aeolian transport on video imagery collected at Egmond aan Zee, the Netherlands, during a six-month winter period. The Aeolus model and the Argus images often agree on the timing of aeolian transport days, except when transport is small; that is not always visible on the Argus images. Consistent with the imagery (minimal signs of aeolian activity in strong winds), the Aeolus model sometimes predicts the actual transport to be smaller than the potential transport. This difference is largest when wind velocity is large, and its direction is cross-shore. Although transport limitations are not predicted to be common, the results suggest that their effect on the total transport in the study period was substantial. This indicates that the fetch distance should be taken into account when calculating aeolian transport for narrow beaches on longer timescales (>weeks).

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