Design and initial testing of a piezoelectric sensor to quantify aeolian sand transport

Raygosa-Barahona, R.; Ruiz-Martínez, Gabriel; Mariño‐Tapia, Ismael; Heyser-Ojeda, Emilio

doi:10.1016/j.aeolia.2016.08.005

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…This difference might be caused by grain size effects or the use of different construction material or experimental design. Raygosa-Barahona et al (2016) found a linear relation of sensor counts depending on sediment weight in a fall flume experiment. However, just like the experiments in Sterk et al (1998), only one single piezoelectric sensor was tested.…”

Section: Non-linearity Of Saldec Sensorsmentioning

confidence: 90%

“…Existing sensors that can measure saltation transport on high frequencies are based on various techniques: piezoelectric (Sensit (Stockton and Gillette, 1990), Safire (Baas, 2004), Buzzer Discs (Sherman et al, 2011), piezoelectric sensor (Raygosa-Barahona et al, 2016)), acoustic (Saltiphone (Spaan and van den Abeele, 1991;Poortinga et al, 2015), Miniphone (Ellis et al, 2009)), and laser (Wenglor Particle Counter (Hugenholtz and Barchyn, 2011;Duarte-Campos et al, 2017)). Commonly used high-frequency saltation sensors are the Saltiphone, Safire, and Sensit.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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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.

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Section: Non-linearity Of Saldec Sensorsmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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“…Lately, different modern techniques and devices have been adapted to be used on coastal settings, such as beach and dunes, to provide more insights volumetric variations. Sediment traps have been applied to measure sand transport along the backshore, using acoustic and piezoelectric sensors [37,38], and also wireless sensor networks [39,40]. As well as the solution here presented, these techniques are cheap and work directly on the beach, promptly acquiring and transmitting crucial information to the coastal managers who are in charge to make decisions on the given site.…”

Section: An Application Scenariomentioning

confidence: 99%

A geometrical approach for the measurement of the volume of masses of granular material through grid-layout sensor networks

et al. 2020

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“…Other sensors dedicated to sand transport measurements have been conceived and successfully tested during the last decade. Those systems relied on acoustic [ 68 ] and piezoelectric [ 69 , 70 ] sensors, which provided interesting results both in laboratory and in the field. The main drawback of the acoustic system is that it does not record quantitative measurements of sand transport, rather providing data that can be used to make predictions about sand transport.…”

Section: State Of the Artmentioning

confidence: 99%

“…Likewise, the piezoelectric sensors tested by Udo [ 69 ] for an extended timespan did not supply quantitative measurements about sediment transport, though the impressive amount of collected data made up for reasonable estimations of sand transport rate. Conversely, Raygosa-Barahona et al [ 70 ] arranged a system characterized by piezoelectric sensors able to record direct measurements of wind-transported sand. Even though the need for calibration of the sensors still remains, the methodology produced significant results in terms of matching recorded wind speed and trapped sand particles.…”

Section: State Of the Artmentioning

confidence: 99%

A Wireless Sensor Network for the Real-Time Remote Measurement of Aeolian Sand Transport on Sandy Beaches and Dunes

Pozzebon

Cappelli

Mecocci

et al. 2018

Sensors

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Direct measurements of aeolian sand transport on coastal dunes and beaches is of paramount importance to make correct decisions about coast management. As most of the existing studies are mainly based on a statistical approach, the solution presented in this paper proposes a sensing structure able to orient itself according to wind direction and directly calculate the amount of wind-transported sand by collecting it and by measuring its weight. Measurements are performed remotely without requiring human action because the structure is equipped with a ZigBee radio module, which periodically sends readings to a local gateway. Here data are processed by a microcontroller and then transferred to a remote data collection centre, through GSM technology. The ease of installation, the reduced power consumption and the low maintenance required, make the proposed solution able to work independently, limiting human intervention, for all the duration of the expected experimental campaign. In order to analyze the cause-effect relationship between the transported sand and the wind, the sensing structure is integrated with a multi-layer anemoscope-anemometer structure. The overall sensor network has been developed and tested in the laboratory, and its operation has been validated in field through a 48 h measurement campaign.

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Design and initial testing of a piezoelectric sensor to quantify aeolian sand transport

Cited by 10 publications

References 30 publications

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

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

A geometrical approach for the measurement of the volume of masses of granular material through grid-layout sensor networks

A Wireless Sensor Network for the Real-Time Remote Measurement of Aeolian Sand Transport on Sandy Beaches and Dunes

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