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一种用于研究干旱海岸前沙丘的低成本自制无线风能数据采集系统。

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

作者信息

Domínguez-Brito Antonio C, Cabrera-Gámez Jorge, Viera-Pérez Manuel, Rodríguez-Barrera Eduardo, Hernández-Calvento Luis

机构信息

Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI), Universidad de Las Palmas de Gran Canaria, 35017 Gran Canaria, Spain.

Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, 35017 Gran Canaria, Spain.

出版信息

Sensors (Basel). 2020 Feb 15;20(4):1064. doi: 10.3390/s20041064.

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 () 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 (), 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.

摘要

由于数据收集所需仪器和传感设备的成本,沿海沙丘系统的环境研究面临着相当大的成本障碍。这些系统在沿海地区起着重要作用,可防止侵蚀,并为沿海沉积物提供稳定性。采用DIY()方法进行数据采集可以降低这些环境研究的成本。本文介绍了一种低成本的DIY无线风数据采集系统,该系统降低了这类研究固有的成本障碍。该系统被部署用于分析马斯帕洛马斯前丘,这是一个位于大加那利岛(西班牙加那利群岛)南岸的干旱沙丘场,其特定目的是研究一种典型的沙丘类型()的动态,这种沙丘类型在这种环境中很常见。所获得的结果对于在地方层面研究这些沿海环境、管理这个特定的沙丘场以及在全球层面研究其他类似沙丘场都可能具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98b4/7070864/70f61f78f2c8/sensors-20-01064-g001.jpg

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