Literature DB >> 32075330

A DIY Low-Cost Wireless Wind Data Acquisition System Used to Study an Arid Coastal Foredune.

Antonio C Domínguez-Brito1,2, Jorge Cabrera-Gámez1,2, Manuel Viera-Pérez3, Eduardo Rodríguez-Barrera1,2, Luis Hernández-Calvento3.   

Abstract

Environmental studies on coastal dune systems are faced with a considerable cost barrier due to the cost of the instrumentation and sensory equipment required for data collection. These systems play an important role in coastal areas as a protection against erosion and as providers of stability to coastal sedimentary deposits. The DIY (Do-It-Yourself) approach to data acquisition can reduce the cost of these environmental studies. In this paper, a low-cost DIY wireless wind data acquisition system is presented which reduces the cost barrier inherent to these types of studies. The system is deployed for the analysis of the foredune of Maspalomas, an arid dune field situated on the south coast of Gran Canaria (Canary Islands, Spain), for the specific purpose of studying the dynamics of a dune type (tongue dunes), which is typical of this environment. The results obtained can be of interest for the study of these coastal environments at both the local level, for the management of this particular dune field, and at the general level for other similar dune fields around the world.

Entities:  

Keywords:  DIY; arid foredune; digital elevation model (DEM); environmental monitoring; low-cost sensors; tongue dunes; wind sensors

Year:  2020        PMID: 32075330     DOI: 10.3390/s20041064

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Characteristic Differences of Wind-Blown Sand Flow Field of Expressway Bridge and Subgrade and Their Implications on Expressway Design.

Authors:  Shengbo Xie; Xian Zhang; Yingjun Pang
Journal:  Sensors (Basel)       Date:  2022-05-24       Impact factor: 3.847

2.  Wireless Sensor Networks for Environmental Monitoring.

Authors:  Anna Lanzolla; Maurizio Spadavecchia
Journal:  Sensors (Basel)       Date:  2021-02-07       Impact factor: 3.576

  2 in total

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