Prediction of pH Value by Multi-Classification in the Weizhou Island Area
Ocean acidification is changing the chemical environment on which marine life depends. It causes a decrease in seawater pH and changes the water quality parameters of seawater. Changes in water quality parameters may affect pH, a key indicator for assessing ocean acidification. Therefore, it is part...
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ftpubmed:oai:pubmedcentral.nih.gov:6767063 2023-05-15T17:50:09+02:00 Prediction of pH Value by Multi-Classification in the Weizhou Island Area Huang, Haocai Feng, Rendong Zhu, Jiang Li, Peiliang 2019-09-08 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767063/ http://www.ncbi.nlm.nih.gov/pubmed/31500377 https://doi.org/10.3390/s19183875 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767063/ http://www.ncbi.nlm.nih.gov/pubmed/31500377 http://dx.doi.org/10.3390/s19183875 © 2019 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/). CC-BY Article Text 2019 ftpubmed https://doi.org/10.3390/s19183875 2019-10-06T00:44:01Z Ocean acidification is changing the chemical environment on which marine life depends. It causes a decrease in seawater pH and changes the water quality parameters of seawater. Changes in water quality parameters may affect pH, a key indicator for assessing ocean acidification. Therefore, it is particularly important to study the correlation between pH and various water quality parameters. In this paper, several water quality parameters with potential correlation with pH are investigated, and multiple linear regression, softmax regression, and support vector machine are used to perform multi-classification. Most importantly, experimental data were collected from Weizhou Island, China. The classification results show that the pH has a strong correlation with salinity, temperature, and dissolved oxygen. The prediction accuracy of the classification is good, and the correlation with dissolved oxygen is the most significant. The prediction accuracies of the three methods for multi-classifiers based on the above three factors reach 87.01%, 87.77%, and 89.04%, respectively. Text Ocean acidification PubMed Central (PMC) Sensors 19 18 3875 |
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Article Huang, Haocai Feng, Rendong Zhu, Jiang Li, Peiliang Prediction of pH Value by Multi-Classification in the Weizhou Island Area |
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Article |
description |
Ocean acidification is changing the chemical environment on which marine life depends. It causes a decrease in seawater pH and changes the water quality parameters of seawater. Changes in water quality parameters may affect pH, a key indicator for assessing ocean acidification. Therefore, it is particularly important to study the correlation between pH and various water quality parameters. In this paper, several water quality parameters with potential correlation with pH are investigated, and multiple linear regression, softmax regression, and support vector machine are used to perform multi-classification. Most importantly, experimental data were collected from Weizhou Island, China. The classification results show that the pH has a strong correlation with salinity, temperature, and dissolved oxygen. The prediction accuracy of the classification is good, and the correlation with dissolved oxygen is the most significant. The prediction accuracies of the three methods for multi-classifiers based on the above three factors reach 87.01%, 87.77%, and 89.04%, respectively. |
format |
Text |
author |
Huang, Haocai Feng, Rendong Zhu, Jiang Li, Peiliang |
author_facet |
Huang, Haocai Feng, Rendong Zhu, Jiang Li, Peiliang |
author_sort |
Huang, Haocai |
title |
Prediction of pH Value by Multi-Classification in the Weizhou Island Area |
title_short |
Prediction of pH Value by Multi-Classification in the Weizhou Island Area |
title_full |
Prediction of pH Value by Multi-Classification in the Weizhou Island Area |
title_fullStr |
Prediction of pH Value by Multi-Classification in the Weizhou Island Area |
title_full_unstemmed |
Prediction of pH Value by Multi-Classification in the Weizhou Island Area |
title_sort |
prediction of ph value by multi-classification in the weizhou island area |
publisher |
MDPI |
publishDate |
2019 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767063/ http://www.ncbi.nlm.nih.gov/pubmed/31500377 https://doi.org/10.3390/s19183875 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767063/ http://www.ncbi.nlm.nih.gov/pubmed/31500377 http://dx.doi.org/10.3390/s19183875 |
op_rights |
© 2019 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/). |
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CC-BY |
op_doi |
https://doi.org/10.3390/s19183875 |
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Sensors |
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3875 |
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1766156779537825792 |