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Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China
Estimating regional nutrient criteria for streams and rivers is a key step toward protecting river water quality and restoring the health of aquatic ecosystems. Using a multivariable statistical analysis technique, nutrients were identified as the main factor influencing the degradation of the benth...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830502/ https://www.ncbi.nlm.nih.gov/pubmed/29491400 http://dx.doi.org/10.1038/s41598-018-22128-9 |
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author | Chen, Jiabo Li, Fayun Wang, Yanjie Kong, Yun |
author_facet | Chen, Jiabo Li, Fayun Wang, Yanjie Kong, Yun |
author_sort | Chen, Jiabo |
collection | PubMed |
description | Estimating regional nutrient criteria for streams and rivers is a key step toward protecting river water quality and restoring the health of aquatic ecosystems. Using a multivariable statistical analysis technique, nutrients were identified as the main factor influencing the degradation of the benthic macroinvertebrate community. Three chemical methods (the reference stream distribution approach, all-streams distribution approach and Y-intercept approach) and one biological method (the stress-response approach) were applied to evaluate the nutrient thresholds in the Qing River basin. The reference stream distribution approach and all-streams distribution approach were based on calculating a predetermined percentile of reference streams and all-streams water quality data set, respectively. The Y-intercept approach was based on determining the influence of human activity on water quality by linear regression models. The biological method was based on the response of the benthic macroinvertebrate community structure to changes in water quality. The chemical thresholds were 0.750–1.288 mg/L for total nitrogen (TN) and 0.035–0.046 mg/L for total phosphorus (TP); the biological thresholds were 1.050–1.655 for TN and 0.052–0.101 for TP. The results from the chemical approaches were verified using the biological method, resulting in preliminarily recommended thresholds of 1.000 mg/L TN and 0.040 mg/L TP in the Qing River system. |
format | Online Article Text |
id | pubmed-5830502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58305022018-03-05 Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China Chen, Jiabo Li, Fayun Wang, Yanjie Kong, Yun Sci Rep Article Estimating regional nutrient criteria for streams and rivers is a key step toward protecting river water quality and restoring the health of aquatic ecosystems. Using a multivariable statistical analysis technique, nutrients were identified as the main factor influencing the degradation of the benthic macroinvertebrate community. Three chemical methods (the reference stream distribution approach, all-streams distribution approach and Y-intercept approach) and one biological method (the stress-response approach) were applied to evaluate the nutrient thresholds in the Qing River basin. The reference stream distribution approach and all-streams distribution approach were based on calculating a predetermined percentile of reference streams and all-streams water quality data set, respectively. The Y-intercept approach was based on determining the influence of human activity on water quality by linear regression models. The biological method was based on the response of the benthic macroinvertebrate community structure to changes in water quality. The chemical thresholds were 0.750–1.288 mg/L for total nitrogen (TN) and 0.035–0.046 mg/L for total phosphorus (TP); the biological thresholds were 1.050–1.655 for TN and 0.052–0.101 for TP. The results from the chemical approaches were verified using the biological method, resulting in preliminarily recommended thresholds of 1.000 mg/L TN and 0.040 mg/L TP in the Qing River system. Nature Publishing Group UK 2018-02-28 /pmc/articles/PMC5830502/ /pubmed/29491400 http://dx.doi.org/10.1038/s41598-018-22128-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Jiabo Li, Fayun Wang, Yanjie Kong, Yun Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China |
title | Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China |
title_full | Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China |
title_fullStr | Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China |
title_full_unstemmed | Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China |
title_short | Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China |
title_sort | estimating the nutrient thresholds of a typical tributary in the liao river basin, northeast china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830502/ https://www.ncbi.nlm.nih.gov/pubmed/29491400 http://dx.doi.org/10.1038/s41598-018-22128-9 |
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