Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China)
Spatiotemporal changes in the water quality index are important measures with which to analyze water quality. Fifteen water quality indices at the Longdong, Luoguo, and Jinjiang stations in the Panzhihua Section of the Jinsha River Basin from 2016 to 2018 were analyzed using cluster analysis (CA), d...
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IWA Publishing
2021-02-01
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Series: | Water Supply |
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Online Access: | http://ws.iwaponline.com/content/21/1/189 |
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author | Yan Yang Xing Huang Xiaohua Zhu Yiyang Zhou Liuqing Zhang Yiming Zhang Guobiao Zhou |
author_facet | Yan Yang Xing Huang Xiaohua Zhu Yiyang Zhou Liuqing Zhang Yiming Zhang Guobiao Zhou |
author_sort | Yan Yang |
collection | DOAJ |
description | Spatiotemporal changes in the water quality index are important measures with which to analyze water quality. Fifteen water quality indices at the Longdong, Luoguo, and Jinjiang stations in the Panzhihua Section of the Jinsha River Basin from 2016 to 2018 were analyzed using cluster analysis (CA), discriminant analysis (DA), independent sample t-test and correlation analysis. The results of CA showed that the months can be divided into the following groups based on the similarities in the water quality characteristics: group 1 (dry season), January-April and December; group 2 (flood season), August-September; and group 3 (flat season), May-July and October-November. In group 1 the river is remarkably polluted. The main parameters that distinguish the spatial differences are pH level, chemical oxygen demand, chlorophyll a, fecal coliforms, and electrical conductivity. All sections of the river meet the National Level III standard, and the water quality of the Jinsha River is generally good. Spatial results show that the Luoguo station is seriously polluted compared with the other two stations. Significant negative correlation is found between forest land and COD (P < 0.05). Therefore, the management of land use and pollutant discharge should still be strengthened in the Luoguo section to improve the overall water quality of the Jinsha River. |
first_indexed | 2024-12-20T19:31:32Z |
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institution | Directory Open Access Journal |
issn | 1606-9749 1607-0798 |
language | English |
last_indexed | 2024-12-20T19:31:32Z |
publishDate | 2021-02-01 |
publisher | IWA Publishing |
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series | Water Supply |
spelling | doaj.art-2c727bb5c1e44faa997795280576acf62022-12-21T19:28:46ZengIWA PublishingWater Supply1606-97491607-07982021-02-0121118920310.2166/ws.2020.258258Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China)Yan Yang0Xing Huang1Xiaohua Zhu2Yiyang Zhou3Liuqing Zhang4Yiming Zhang5Guobiao Zhou6 College of Environment Science and Engineering, China West Normal University, Nanchong 637000, China College of Environment Science and Engineering, China West Normal University, Nanchong 637000, China College of Environment Science and Engineering, China West Normal University, Nanchong 637000, China College of Environment Science and Engineering, China West Normal University, Nanchong 637000, China College of Environment Science and Engineering, China West Normal University, Nanchong 637000, China College of Environment Science and Engineering, China West Normal University, Nanchong 637000, China Ecology and Environment Bureau of Panzhihua City, Panzhihua 617000, China Spatiotemporal changes in the water quality index are important measures with which to analyze water quality. Fifteen water quality indices at the Longdong, Luoguo, and Jinjiang stations in the Panzhihua Section of the Jinsha River Basin from 2016 to 2018 were analyzed using cluster analysis (CA), discriminant analysis (DA), independent sample t-test and correlation analysis. The results of CA showed that the months can be divided into the following groups based on the similarities in the water quality characteristics: group 1 (dry season), January-April and December; group 2 (flood season), August-September; and group 3 (flat season), May-July and October-November. In group 1 the river is remarkably polluted. The main parameters that distinguish the spatial differences are pH level, chemical oxygen demand, chlorophyll a, fecal coliforms, and electrical conductivity. All sections of the river meet the National Level III standard, and the water quality of the Jinsha River is generally good. Spatial results show that the Luoguo station is seriously polluted compared with the other two stations. Significant negative correlation is found between forest land and COD (P < 0.05). Therefore, the management of land use and pollutant discharge should still be strengthened in the Luoguo section to improve the overall water quality of the Jinsha River.http://ws.iwaponline.com/content/21/1/189jinsha river basinmultivariate technology statisticspanzhihua sectionspatiotemporal characteristicswater quality parameter |
spellingShingle | Yan Yang Xing Huang Xiaohua Zhu Yiyang Zhou Liuqing Zhang Yiming Zhang Guobiao Zhou Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China) Water Supply jinsha river basin multivariate technology statistics panzhihua section spatiotemporal characteristics water quality parameter |
title | Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China) |
title_full | Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China) |
title_fullStr | Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China) |
title_full_unstemmed | Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China) |
title_short | Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China) |
title_sort | spatiotemporal characteristics of the water quality in the jinsha river basin panzhihua china |
topic | jinsha river basin multivariate technology statistics panzhihua section spatiotemporal characteristics water quality parameter |
url | http://ws.iwaponline.com/content/21/1/189 |
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