Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes

Water quality is continuously affected by anthropogenic and environmental conditions. A significant issue of the Indian rivers is the massive water pollution, leading to the spreading of different diseases due to its daily use. Therefore, this study investigates three aspects. The first one is testi...

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Autores principales:	Alina Barbulescu, Lucica Barbes, Cristian Stefan Dumitriu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	water pollution CCME WQI BC WQI weighted index classification trend Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/b5858a381864498c8728d8ab4a3557c2
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spelling	oai:doaj.org-article:b5858a381864498c8728d8ab4a3557c22021-11-25T19:08:12ZAssessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes10.3390/toxics91102972305-6304https://doaj.org/article/b5858a381864498c8728d8ab4a3557c22021-11-01T00:00:00Zhttps://www.mdpi.com/2305-6304/9/11/297https://doaj.org/toc/2305-6304Water quality is continuously affected by anthropogenic and environmental conditions. A significant issue of the Indian rivers is the massive water pollution, leading to the spreading of different diseases due to its daily use. Therefore, this study investigates three aspects. The first one is testing the hypothesis of the existence of a monotonic trend of the series of eight water parameters of the Brahmaputra River recorded for 17 years at ten hydrological stations. When this hypothesis was rejected, a loess trend was fitted. The second aspect is to assess the water quality using three indicators (WQI)–CCME WQI, British Colombia, and a weighted index. The third aspect is to group the years and the stations in clusters used to determine the regional (spatial) and temporal trend of the WQI series, utilizing a new algorithm. A statistical analysis does not reject the hypothesis of a monotonic trend presence for the spatially distributed data but not for the temporal ones. Hierarchical clustering based on the computed WQIs detected two clusters for the spatially distributed data and two for the temporal-distributed data. The procedure proposed for determining the WQI temporal and regional evolution provided good results in terms of mean absolute error, root mean squared error (RMSE), and mean absolute percentage error (MAPE).Alina BarbulescuLucica BarbesCristian Stefan DumitriuMDPI AGarticlewater pollutionCCME WQIBC WQIweighted indexclassificationtrendChemical technologyTP1-1185ENToxics, Vol 9, Iss 297, p 297 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	water pollution CCME WQI BC WQI weighted index classification trend Chemical technology TP1-1185
spellingShingle	water pollution CCME WQI BC WQI weighted index classification trend Chemical technology TP1-1185 Alina Barbulescu Lucica Barbes Cristian Stefan Dumitriu Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes
description	Water quality is continuously affected by anthropogenic and environmental conditions. A significant issue of the Indian rivers is the massive water pollution, leading to the spreading of different diseases due to its daily use. Therefore, this study investigates three aspects. The first one is testing the hypothesis of the existence of a monotonic trend of the series of eight water parameters of the Brahmaputra River recorded for 17 years at ten hydrological stations. When this hypothesis was rejected, a loess trend was fitted. The second aspect is to assess the water quality using three indicators (WQI)–CCME WQI, British Colombia, and a weighted index. The third aspect is to group the years and the stations in clusters used to determine the regional (spatial) and temporal trend of the WQI series, utilizing a new algorithm. A statistical analysis does not reject the hypothesis of a monotonic trend presence for the spatially distributed data but not for the temporal ones. Hierarchical clustering based on the computed WQIs detected two clusters for the spatially distributed data and two for the temporal-distributed data. The procedure proposed for determining the WQI temporal and regional evolution provided good results in terms of mean absolute error, root mean squared error (RMSE), and mean absolute percentage error (MAPE).
format	article
author	Alina Barbulescu Lucica Barbes Cristian Stefan Dumitriu
author_facet	Alina Barbulescu Lucica Barbes Cristian Stefan Dumitriu
author_sort	Alina Barbulescu
title	Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes
title_short	Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes
title_full	Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes
title_fullStr	Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes
title_full_unstemmed	Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes
title_sort	assessing the water pollution of the brahmaputra river using water quality indexes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b5858a381864498c8728d8ab4a3557c2
work_keys_str_mv	AT alinabarbulescu assessingthewaterpollutionofthebrahmaputrariverusingwaterqualityindexes AT lucicabarbes assessingthewaterpollutionofthebrahmaputrariverusingwaterqualityindexes AT cristianstefandumitriu assessingthewaterpollutionofthebrahmaputrariverusingwaterqualityindexes
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Assessing the Water Pollution of the Brahmaputra River Using Water Quality Indexes

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