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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Autores principales:	Yan Yang, Xing Huang, Xiaohua Zhu, Yiyang Zhou, Liuqing Zhang, Yiming Zhang, Guobiao Zhou
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	jinsha river basin multivariate technology statistics panzhihua section spatiotemporal characteristics water quality parameter Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/2c727bb5c1e44faa997795280576acf6
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id	oai:doaj.org-article:2c727bb5c1e44faa997795280576acf6
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spelling	oai:doaj.org-article:2c727bb5c1e44faa997795280576acf62021-11-06T07:05:34ZSpatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China)1606-97491607-079810.2166/ws.2020.258https://doaj.org/article/2c727bb5c1e44faa997795280576acf62021-02-01T00:00:00Zhttp://ws.iwaponline.com/content/21/1/189https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Spatiotemporal 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.Yan YangXing HuangXiaohua ZhuYiyang ZhouLiuqing ZhangYiming ZhangGuobiao ZhouIWA Publishingarticlejinsha river basinmultivariate technology statisticspanzhihua sectionspatiotemporal characteristicswater quality parameterWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 1, Pp 189-203 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	jinsha river basin multivariate technology statistics panzhihua section spatiotemporal characteristics water quality parameter Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	jinsha river basin multivariate technology statistics panzhihua section spatiotemporal characteristics water quality parameter Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 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)
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.
format	article
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
title	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_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_sort	spatiotemporal characteristics of the water quality in the jinsha river basin (panzhihua, china)
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/2c727bb5c1e44faa997795280576acf6
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Spatiotemporal characteristics of the water quality in the Jinsha River Basin (Panzhihua, China)

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