Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers

Continuous hydrologic monitoring is limited in many regions of the world, creating serious knowledge gaps for water resources managers and scientists. Recent advances in open-source software and hardware technologies, such as the Arduino project, show potential for the development of low-cost (∼$100...

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Main Authors: Silja V. Hund, Mark S. Johnson, Tom Keddie
Format: Article
Language:English
Published: Wiley 2016-04-01
Series:Agricultural & Environmental Letters
Online Access:https://dl.sciencesocieties.org/publications/ael/articles/1/1/160011
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spelling doaj-81974d8a61e14cf4b91b09c4f676c1dd2020-11-25T03:33:13ZengWileyAgricultural & Environmental Letters2471-96252016-04-011110.2134/ael2016.02.0011160011Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino DataloggersSilja V. HundMark S. JohnsonTom KeddieContinuous hydrologic monitoring is limited in many regions of the world, creating serious knowledge gaps for water resources managers and scientists. Recent advances in open-source software and hardware technologies, such as the Arduino project, show potential for the development of low-cost (∼$100) automated dataloggers required for continuous data collection. We developed an Arduino-based datalogger (the Ecohydro Logger) coupled with water sensors providing digital output to establish a hydrologic monitoring network in the data-scarce wet-dry tropics of Guanacaste, Costa Rica. While we experienced some challenges with a first iteration of our Arduino-based datalogger, an improved version was robust and able to capture long periods of high-frequency stream discharge data. Integration of the monitoring program into the local community was also key to successful deployment, allowing exchange of local knowledge and support. The accessible and low-cost nature of Arduino-based dataloggers can provide a means to extend continuous environmental monitoring into data-scarce regions.https://dl.sciencesocieties.org/publications/ael/articles/1/1/160011
collection DOAJ
language English
format Article
sources DOAJ
author Silja V. Hund
Mark S. Johnson
Tom Keddie
spellingShingle Silja V. Hund
Mark S. Johnson
Tom Keddie
Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers
Agricultural & Environmental Letters
author_facet Silja V. Hund
Mark S. Johnson
Tom Keddie
author_sort Silja V. Hund
title Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers
title_short Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers
title_full Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers
title_fullStr Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers
title_full_unstemmed Developing a Hydrologic Monitoring Network in Data-Scarce Regions Using Open-Source Arduino Dataloggers
title_sort developing a hydrologic monitoring network in data-scarce regions using open-source arduino dataloggers
publisher Wiley
series Agricultural & Environmental Letters
issn 2471-9625
publishDate 2016-04-01
description Continuous hydrologic monitoring is limited in many regions of the world, creating serious knowledge gaps for water resources managers and scientists. Recent advances in open-source software and hardware technologies, such as the Arduino project, show potential for the development of low-cost (∼$100) automated dataloggers required for continuous data collection. We developed an Arduino-based datalogger (the Ecohydro Logger) coupled with water sensors providing digital output to establish a hydrologic monitoring network in the data-scarce wet-dry tropics of Guanacaste, Costa Rica. While we experienced some challenges with a first iteration of our Arduino-based datalogger, an improved version was robust and able to capture long periods of high-frequency stream discharge data. Integration of the monitoring program into the local community was also key to successful deployment, allowing exchange of local knowledge and support. The accessible and low-cost nature of Arduino-based dataloggers can provide a means to extend continuous environmental monitoring into data-scarce regions.
url https://dl.sciencesocieties.org/publications/ael/articles/1/1/160011
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