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Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity

Water clarity is the most common indicator of water quality. The purpose of the study was to develop an instrument which can automatically measure water clarity in place of manual measurement by Secchi disk. The instrument is suspended by buoys at the water surface and uses solar energy to measure t...

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Autores principales: Pham, Tuan Ngoc, Ho, Anh Pham Huy, Nguyen, Tuong Van, Nguyen, Ha Minh, Truong, Nhu Huynh, Huynh, Nguyen Duc, Nguyen, Tung Huy, Dung, Le The
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180993/
https://www.ncbi.nlm.nih.gov/pubmed/32268501
http://dx.doi.org/10.3390/s20072051
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author Pham, Tuan Ngoc
Ho, Anh Pham Huy
Nguyen, Tuong Van
Nguyen, Ha Minh
Truong, Nhu Huynh
Huynh, Nguyen Duc
Nguyen, Tung Huy
Dung, Le The
author_facet Pham, Tuan Ngoc
Ho, Anh Pham Huy
Nguyen, Tuong Van
Nguyen, Ha Minh
Truong, Nhu Huynh
Huynh, Nguyen Duc
Nguyen, Tung Huy
Dung, Le The
author_sort Pham, Tuan Ngoc
collection PubMed
description Water clarity is the most common indicator of water quality. The purpose of the study was to develop an instrument which can automatically measure water clarity in place of manual measurement by Secchi disk. The instrument is suspended by buoys at the water surface and uses solar energy to measure the light intensity of LED bulbs after passing through a water column; the result is then converted to Secchi depth by using a regression function. Measurement data are stored in a cloud server so that mobile users can access via an Internet connection. Three experiments were conducted to examine the instrument performance: (i) to ensure light intensity of the LED bulbs is strong enough to pass through the water column; (ii) to determine the regression relationship between the measured light intensity of the instrument and Secchi depth; and (iii) to evaluate the coefficient of variation (CV) of the measured water clarity when using our instrument and a conventional Secchi disk. Experiment results show that the measured values of light intensity are stable with the average CV = 5.25%. Moreover, although there are slight differences between the Secchi depth measured by our instrument and those measured by Secchi disk, the measurements by our instrument can efficiently replace the measurements by conventional Secchi disk, which can be affected by weather conditions as well as by human subjectivity.
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spelling pubmed-71809932020-04-30 Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity Pham, Tuan Ngoc Ho, Anh Pham Huy Nguyen, Tuong Van Nguyen, Ha Minh Truong, Nhu Huynh Huynh, Nguyen Duc Nguyen, Tung Huy Dung, Le The Sensors (Basel) Article Water clarity is the most common indicator of water quality. The purpose of the study was to develop an instrument which can automatically measure water clarity in place of manual measurement by Secchi disk. The instrument is suspended by buoys at the water surface and uses solar energy to measure the light intensity of LED bulbs after passing through a water column; the result is then converted to Secchi depth by using a regression function. Measurement data are stored in a cloud server so that mobile users can access via an Internet connection. Three experiments were conducted to examine the instrument performance: (i) to ensure light intensity of the LED bulbs is strong enough to pass through the water column; (ii) to determine the regression relationship between the measured light intensity of the instrument and Secchi depth; and (iii) to evaluate the coefficient of variation (CV) of the measured water clarity when using our instrument and a conventional Secchi disk. Experiment results show that the measured values of light intensity are stable with the average CV = 5.25%. Moreover, although there are slight differences between the Secchi depth measured by our instrument and those measured by Secchi disk, the measurements by our instrument can efficiently replace the measurements by conventional Secchi disk, which can be affected by weather conditions as well as by human subjectivity. MDPI 2020-04-06 /pmc/articles/PMC7180993/ /pubmed/32268501 http://dx.doi.org/10.3390/s20072051 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pham, Tuan Ngoc
Ho, Anh Pham Huy
Nguyen, Tuong Van
Nguyen, Ha Minh
Truong, Nhu Huynh
Huynh, Nguyen Duc
Nguyen, Tung Huy
Dung, Le The
Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity
title Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity
title_full Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity
title_fullStr Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity
title_full_unstemmed Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity
title_short Development of a Solar-Powered IoT-Based Instrument for Automatic Measurement of Water Clarity
title_sort development of a solar-powered iot-based instrument for automatic measurement of water clarity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180993/
https://www.ncbi.nlm.nih.gov/pubmed/32268501
http://dx.doi.org/10.3390/s20072051
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