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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7180993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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