Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring

Hydrologic processes acting on catchments are complex and variable, especially in mountain basins due to their topography and specific characteristics, so runoff simulation models and water management are also complex. Nevertheless, model parameters are usually estimated on the basis of guidelines f...

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Autores principales:	Daniel A. Segovia-Cardozo, Leonor Rodríguez-Sinobas, Freddy Canales-Ide, Sergio Zubelzu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	open-hardware low-cost hydrological monitoring wireless sensor network flood risk Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/8b6e8a57dcd741f68802387be31cce0d
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spelling	oai:doaj.org-article:8b6e8a57dcd741f68802387be31cce0d2021-11-11T19:57:14ZDesign and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring10.3390/w132130992073-4441https://doaj.org/article/8b6e8a57dcd741f68802387be31cce0d2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3099https://doaj.org/toc/2073-4441Hydrologic processes acting on catchments are complex and variable, especially in mountain basins due to their topography and specific characteristics, so runoff simulation models and water management are also complex. Nevertheless, model parameters are usually estimated on the basis of guidelines from user manuals and literature because they are not usually monitored, due to the high cost of conventional monitoring systems. Within this framework, a new and promising generation of low-cost sensors for hydrologic monitoring, logging, and transition has been developed. We aimed to design a low-cost, open-hardware platform, based on a Raspberry Pi and software written in Python 3, for measuring, recording, and wireless data transmission in hydrological monitoring contexts. Moreover, the data are linked to a runoff model, in real time, for flood prevention. Complementarily, it emphasizes the role of the calibration and validation of soil moisture, rain gauges, and water depth sensors in laboratories. It was installed in a small mountain basin. The results showed mean absolute errors of ±2.2% in soil moisture, ±1 mm in rainfall, and ±0.51 cm in water depth measurements; they highlight the potential of this platform for hydrological monitoring and flood risk management.Daniel A. Segovia-CardozoLeonor Rodríguez-SinobasFreddy Canales-IdeSergio ZubelzuMDPI AGarticleopen-hardwarelow-costhydrological monitoringwireless sensor networkflood riskHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3099, p 3099 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	open-hardware low-cost hydrological monitoring wireless sensor network flood risk Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	open-hardware low-cost hydrological monitoring wireless sensor network flood risk Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Daniel A. Segovia-Cardozo Leonor Rodríguez-Sinobas Freddy Canales-Ide Sergio Zubelzu Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring
description	Hydrologic processes acting on catchments are complex and variable, especially in mountain basins due to their topography and specific characteristics, so runoff simulation models and water management are also complex. Nevertheless, model parameters are usually estimated on the basis of guidelines from user manuals and literature because they are not usually monitored, due to the high cost of conventional monitoring systems. Within this framework, a new and promising generation of low-cost sensors for hydrologic monitoring, logging, and transition has been developed. We aimed to design a low-cost, open-hardware platform, based on a Raspberry Pi and software written in Python 3, for measuring, recording, and wireless data transmission in hydrological monitoring contexts. Moreover, the data are linked to a runoff model, in real time, for flood prevention. Complementarily, it emphasizes the role of the calibration and validation of soil moisture, rain gauges, and water depth sensors in laboratories. It was installed in a small mountain basin. The results showed mean absolute errors of ±2.2% in soil moisture, ±1 mm in rainfall, and ±0.51 cm in water depth measurements; they highlight the potential of this platform for hydrological monitoring and flood risk management.
format	article
author	Daniel A. Segovia-Cardozo Leonor Rodríguez-Sinobas Freddy Canales-Ide Sergio Zubelzu
author_facet	Daniel A. Segovia-Cardozo Leonor Rodríguez-Sinobas Freddy Canales-Ide Sergio Zubelzu
author_sort	Daniel A. Segovia-Cardozo
title	Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring
title_short	Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring
title_full	Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring
title_fullStr	Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring
title_full_unstemmed	Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring
title_sort	design and field implementation of a low-cost, open-hardware platform for hydrological monitoring
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8b6e8a57dcd741f68802387be31cce0d
work_keys_str_mv	AT danielasegoviacardozo designandfieldimplementationofalowcostopenhardwareplatformforhydrologicalmonitoring AT leonorrodriguezsinobas designandfieldimplementationofalowcostopenhardwareplatformforhydrologicalmonitoring AT freddycanaleside designandfieldimplementationofalowcostopenhardwareplatformforhydrologicalmonitoring AT sergiozubelzu designandfieldimplementationofalowcostopenhardwareplatformforhydrologicalmonitoring
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Design and Field Implementation of a Low-Cost, Open-Hardware Platform for Hydrological Monitoring

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