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

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.

Foredune responses to the impact of aggregate extraction in an arid aeolian sedimentary system

“…The wind data were obtained using 10 mobile stations consisting of an anemometer‐vane‐datalogger system with wireless communication (Domínguez‐Brito et al, 2020; García‐Romero et al, 2019). To discriminate between wind flow conditions, the array of 40 sample points was strategically positioned according to the morphology of the terrain, creating an 8 × 5 mesh that covered the area of aggregate extraction (Figure 1, insert).…”

Spatiotemporal analysis of the impact of artificial beach structures on biogeomorphological processes in an arid beach-dune system

“…This shrub species contributes to the accumulation of sand, favouring the formation of nebkhas which regulate the transport of sediment to the interior of the dunefield. In between these nebkhas, tongue dunes are formed which evolve into barchan dunes as they advance towards the interior of the system (Cabrera-Vega et al, 2013b;Domínguez-Brito et al, 2020;Hernández-Cordero et al, 2012).…”

Adaptive graph convolutional imputation network for environmental sensor data recovery

“…Wireless sensor networks (WSNs) facilitate innovative and pervasive environmental monitoring by providing a lot of significant benefits such as access to real time weather data, long-term monitoring, and broad area coverage (Ibrahim et al, 2021). Environmental sensor networks usually consist of a great number of distributed devices in different domains, and their usage has allowed for a variety of applications, such as urban noise control (Luo et al, 2020), plant health status monitoring (Di Nisio et al, 2020), coastal dune system study (Domínguez-Brito et al, 2020), and so forth.…”