Measuring high spatiotemporal variability in saltation intensity using a low-cost Saltation Detection System: Wind tunnel and field experiments

• Published in: Aeolian research Vol. 31; pp. 72 - 81
• Main Authors: de Winter, W., van Dam, D.B., Delbecque, N., Verdoodt, A., Ruessink, B.G., Sterk, G.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2018
• Subjects: Aeolian transport; Equal sensitivity; Experiment; Field; Piezoelectric sensor; Saltation; Spatiotemporal variability; Wind tunnel; Field; Piezoelectric sensor; Wind tunnel; Experiment; Aeolian transport; Saltation; Spatiotemporal variability; Equal sensitivity
• ISSN: 1875-9637; 2212-1684
• DOI: 10.1016/j.aeolia.2017.11.003

The commonly observed over prediction of aeolian saltation transport on sandy beaches is, at least in part, caused by saltation intermittency. To study small-scale saltation processes, high frequency saltation sensors are required on a high spatial resolution. Therefore, we developed a low-cost Saltation Detection System (SalDecS) with the aim to measure saltation intensity at a frequency of 10 Hz and with a spatial resolution of 0.10 m in wind-normal direction. Linearity and equal sensitivity of the saltation sensors were investigated during wind tunnel and field experiments. Wind tunnel experiments with a set of 7 SalDec sensors revealed that the variability of sensor sensitivity is at maximum 9% during relatively low saltation intensities. During more intense saltation the variability of sensor sensitivity decreases. A sigmoidal fit describes the relation between mass flux and sensor output measured during 5 different wind conditions. This indicates an increasing importance of sensor saturation with increasing mass flux. We developed a theoretical model to simulate and describe the effect of grain size, grain velocity and saltation intensity on sensor saturation. Time-averaged field measurements revealed sensitivity equality for 85 out of a set of 89 horizontally deployed SalDec sensors. On these larger timescales (hours) saltation variability imposed by morphological features, such as sand strips, can be recognized. We conclude that the SalDecS can be used to measure small-scale spatiotemporal variabilities of saltation intensity to investigate saltation characteristics related to wind turbulence.