Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China

The Erdao Songhua River provides drinking water for 16.82 million people; therefore, ensuring that the water quality adequate is of particular concern. In this study, an improved water pollution index (IWPI) and multiple statistical methods were employed to assess the overall water pollution situati...

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Autores principales:	Binbin Wang, Yuanyuan Wang, Shuli Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Erdao Songhua River Basin Improved water pollution index Water quality parameters Spatiotemporal variations Water resource management Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/76a675ec13404349889fc0e89eba4749
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spelling	oai:doaj.org-article:76a675ec13404349889fc0e89eba47492021-12-01T04:56:04ZImproved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China1470-160X10.1016/j.ecolind.2021.107931https://doaj.org/article/76a675ec13404349889fc0e89eba47492021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21005963https://doaj.org/toc/1470-160XThe Erdao Songhua River provides drinking water for 16.82 million people; therefore, ensuring that the water quality adequate is of particular concern. In this study, an improved water pollution index (IWPI) and multiple statistical methods were employed to assess the overall water pollution situation and investigate spatiotemporal variations of seven physicochemical parameters such as the permanganate index (PI), dissolved oxygen (DO), chemical oxygen demand (CODcr), five-day biochemical oxygen demand (BOD5), total nitrogen (TN), total phosphorus (TP) and ammonia nitrogen (NH3-N), which were collected monthly at 20 sites within the mainstream and major tributaries of the Erdao Songhua River Basin (ESRB) from 2015 to 2020. Stepwise regression analysis was conducted to build a minimum improved water pollution index (IWPImin) model consisted of four key elements (PI, DO, CODcr, and BOD5) proposed from seven parameters. The results demonstrated water quality within the ESRB was considered to be “Good” with the mean IWPI values <40. However, the water quality deteriorated from the upstream to the downstream within the basin, manifested as the mean value of IWPI of the downstream is 1.7 times of upstream. Seasonally, an improving trend of water quality was observed during the monitoring period and the mean IWPI value decreased by 23%. Furthermore, Seasonal variation in the IWPI value was evident, and the best water quality was found in winter (lowest IWPI value of 14.1) and the worst in summer (highest IWPI value of 21.7). The proposed IWPImin model uses the selected four crucial parameters and the weights of those parameters has exhibited excellent performance in the water quality assessment, with the highest coefficient of determination (R2) and lowest Root Mean Square Error (RMSE) values of 0.996 and 0.51, respectively, which can be used to optimize water quality assessment strategies at a lower cost. For future management, the water quality of middle and downstream should be carefully inspected, and strictly control the effects of point source and non-point source pollution in the ESRB.Binbin WangYuanyuan WangShuli WangElsevierarticleErdao Songhua River BasinImproved water pollution indexWater quality parametersSpatiotemporal variationsWater resource managementEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107931- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Erdao Songhua River Basin Improved water pollution index Water quality parameters Spatiotemporal variations Water resource management Ecology QH540-549.5
spellingShingle	Erdao Songhua River Basin Improved water pollution index Water quality parameters Spatiotemporal variations Water resource management Ecology QH540-549.5 Binbin Wang Yuanyuan Wang Shuli Wang Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China
description	The Erdao Songhua River provides drinking water for 16.82 million people; therefore, ensuring that the water quality adequate is of particular concern. In this study, an improved water pollution index (IWPI) and multiple statistical methods were employed to assess the overall water pollution situation and investigate spatiotemporal variations of seven physicochemical parameters such as the permanganate index (PI), dissolved oxygen (DO), chemical oxygen demand (CODcr), five-day biochemical oxygen demand (BOD5), total nitrogen (TN), total phosphorus (TP) and ammonia nitrogen (NH3-N), which were collected monthly at 20 sites within the mainstream and major tributaries of the Erdao Songhua River Basin (ESRB) from 2015 to 2020. Stepwise regression analysis was conducted to build a minimum improved water pollution index (IWPImin) model consisted of four key elements (PI, DO, CODcr, and BOD5) proposed from seven parameters. The results demonstrated water quality within the ESRB was considered to be “Good” with the mean IWPI values <40. However, the water quality deteriorated from the upstream to the downstream within the basin, manifested as the mean value of IWPI of the downstream is 1.7 times of upstream. Seasonally, an improving trend of water quality was observed during the monitoring period and the mean IWPI value decreased by 23%. Furthermore, Seasonal variation in the IWPI value was evident, and the best water quality was found in winter (lowest IWPI value of 14.1) and the worst in summer (highest IWPI value of 21.7). The proposed IWPImin model uses the selected four crucial parameters and the weights of those parameters has exhibited excellent performance in the water quality assessment, with the highest coefficient of determination (R2) and lowest Root Mean Square Error (RMSE) values of 0.996 and 0.51, respectively, which can be used to optimize water quality assessment strategies at a lower cost. For future management, the water quality of middle and downstream should be carefully inspected, and strictly control the effects of point source and non-point source pollution in the ESRB.
format	article
author	Binbin Wang Yuanyuan Wang Shuli Wang
author_facet	Binbin Wang Yuanyuan Wang Shuli Wang
author_sort	Binbin Wang
title	Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China
title_short	Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China
title_full	Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China
title_fullStr	Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China
title_full_unstemmed	Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China
title_sort	improved water pollution index for determining spatiotemporal water quality dynamics: case study in the erdao songhua river basin, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/76a675ec13404349889fc0e89eba4749
work_keys_str_mv	AT binbinwang improvedwaterpollutionindexfordeterminingspatiotemporalwaterqualitydynamicscasestudyintheerdaosonghuariverbasinchina AT yuanyuanwang improvedwaterpollutionindexfordeterminingspatiotemporalwaterqualitydynamicscasestudyintheerdaosonghuariverbasinchina AT shuliwang improvedwaterpollutionindexfordeterminingspatiotemporalwaterqualitydynamicscasestudyintheerdaosonghuariverbasinchina
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Improved water pollution index for determining spatiotemporal water quality dynamics: Case study in the Erdao Songhua River Basin, China

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