Next Article in Journal
Robust Segmentation of Planar and Linear Features of Terrestrial Laser Scanner Point Clouds Acquired from Construction Sites
Next Article in Special Issue
Comparing Building and Neighborhood-Scale Variability of CO2 and O3 to Inform Deployment Considerations for Low-Cost Sensor System Use
Previous Article in Journal
A Miniaturized Colorimeter with a Novel Design and High Precision for Photometric Detection
Previous Article in Special Issue
LESS: Link Estimation with Sparse Sampling in Intertidal WSNs
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(3), 820; https://doi.org/10.3390/s18030820

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

1
Department of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy
2
Department of Earth Sciences, University of Pisa, 56126 Pisa, Italy
3
Department of Architecture and Urbanism, Faculty of Uniasselvi Group FAMEG, Guaramirim 89270-000, Brazil
*
Author to whom correspondence should be addressed.
Received: 25 January 2018 / Revised: 18 February 2018 / Accepted: 28 February 2018 / Published: 8 March 2018
(This article belongs to the Special Issue Sensor Networks for Environmental Observations)
Full-Text   |   PDF [24967 KB, uploaded 12 March 2018]   |  

Abstract

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. View Full-Text
Keywords: WSN; ZigBee; sand transport; load cell; IoT; wind dynamics; coastal dynamics; environmental monitoring WSN; ZigBee; sand transport; load cell; IoT; wind dynamics; coastal dynamics; environmental monitoring
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Pozzebon, A.; Cappelli, I.; Mecocci, A.; Bertoni, D.; Sarti, G.; Alquini, F. A Wireless Sensor Network for the Real-Time Remote Measurement of Aeolian Sand Transport on Sandy Beaches and Dunes. Sensors 2018, 18, 820.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top