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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2016-04-01
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Series: | Agricultural & Environmental Letters |
Online Access: | https://dl.sciencesocieties.org/publications/ael/articles/1/1/160011 |
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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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