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Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis

The objective of this study is to optimize the river monitoring network in Taizihe River, Northeast China. The situation of the network and water characteristics were studied in this work. During this study, water samples were collected once a month during January 2009 - December 2010 from seventeen...

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Detalles Bibliográficos
Autores principales: Wang, Hui, Liu, Zhe, Sun, Lina, Luo, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449212/
https://www.ncbi.nlm.nih.gov/pubmed/26023785
http://dx.doi.org/10.1371/journal.pone.0127535
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author Wang, Hui
Liu, Zhe
Sun, Lina
Luo, Qing
author_facet Wang, Hui
Liu, Zhe
Sun, Lina
Luo, Qing
author_sort Wang, Hui
collection PubMed
description The objective of this study is to optimize the river monitoring network in Taizihe River, Northeast China. The situation of the network and water characteristics were studied in this work. During this study, water samples were collected once a month during January 2009 - December 2010 from seventeen sites. Futhermore, the 16 monitoring indexes were analyzed in the field and laboratory. The pH value of surface water sample was found to be in the range of 6.83 to 9.31, and the average concentrations of NH(4) (+)-N, chemical oxygen demand (COD), volatile phenol and total phosphorus (TP) were found decreasing significantly. The water quality of the river has been improved from 2009 to 2010. Through the calculation of the data availability and the correlation between adjacent sections, it was found that the present monitoring network was inefficient as well as the optimization was indispensable. In order to improve the situation, the matter element analysis and gravity distance were applied in the optimization of river monitoring network, which were proved to be a useful method to optimize river quality monitoring network. The amount of monitoring sections were cut from 17 to 13 for the monitoring network was more cost-effective after being optimized. The results of this study could be used in developing effective management strategies to improve the environmental quality of Taizihe River. Also, the results show that the proposed model can be effectively used for the optimal design of monitoring networks in river systems.
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spelling pubmed-44492122015-06-09 Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis Wang, Hui Liu, Zhe Sun, Lina Luo, Qing PLoS One Research Article The objective of this study is to optimize the river monitoring network in Taizihe River, Northeast China. The situation of the network and water characteristics were studied in this work. During this study, water samples were collected once a month during January 2009 - December 2010 from seventeen sites. Futhermore, the 16 monitoring indexes were analyzed in the field and laboratory. The pH value of surface water sample was found to be in the range of 6.83 to 9.31, and the average concentrations of NH(4) (+)-N, chemical oxygen demand (COD), volatile phenol and total phosphorus (TP) were found decreasing significantly. The water quality of the river has been improved from 2009 to 2010. Through the calculation of the data availability and the correlation between adjacent sections, it was found that the present monitoring network was inefficient as well as the optimization was indispensable. In order to improve the situation, the matter element analysis and gravity distance were applied in the optimization of river monitoring network, which were proved to be a useful method to optimize river quality monitoring network. The amount of monitoring sections were cut from 17 to 13 for the monitoring network was more cost-effective after being optimized. The results of this study could be used in developing effective management strategies to improve the environmental quality of Taizihe River. Also, the results show that the proposed model can be effectively used for the optimal design of monitoring networks in river systems. Public Library of Science 2015-05-29 /pmc/articles/PMC4449212/ /pubmed/26023785 http://dx.doi.org/10.1371/journal.pone.0127535 Text en © 2015 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Hui
Liu, Zhe
Sun, Lina
Luo, Qing
Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis
title Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis
title_full Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis
title_fullStr Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis
title_full_unstemmed Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis
title_short Optimal Design of River Monitoring Network in Taizihe River by Matter Element Analysis
title_sort optimal design of river monitoring network in taizihe river by matter element analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449212/
https://www.ncbi.nlm.nih.gov/pubmed/26023785
http://dx.doi.org/10.1371/journal.pone.0127535
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