Water quality assessment of a river catchment by the composite water quality index and self-organizing maps

The river catchment management is a complex problem, which requires analysis of massive amounts of mandatory monitoring data on analytical, spatial, and temporal level. The present study deals with the application of a novel water quality assessment approach combining water quality index (WQI) devel...

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Autores principales:	Galina Yotova, Marian Varbanov, Emilia Tcherkezova, Stefan Tsakovski
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Water quality assessment Water quality index Self-organizing maps River catchment Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c2a280f7106c4a25b67dd597087b1514
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id	oai:doaj.org-article:c2a280f7106c4a25b67dd597087b1514
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spelling	oai:doaj.org-article:c2a280f7106c4a25b67dd597087b15142021-12-01T04:28:04ZWater quality assessment of a river catchment by the composite water quality index and self-organizing maps1470-160X10.1016/j.ecolind.2020.106872https://doaj.org/article/c2a280f7106c4a25b67dd597087b15142021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20308104https://doaj.org/toc/1470-160XThe river catchment management is a complex problem, which requires analysis of massive amounts of mandatory monitoring data on analytical, spatial, and temporal level. The present study deals with the application of a novel water quality assessment approach combining water quality index (WQI) developed by the Canadian Council of Ministers of the Environment (CCME) and self-organizing maps of Kohonen (SOM). The study is carried out by using long-term water quality monitoring data (2008–2018) collected from 10 sampling stations located in the Mesta River catchment, Bulgaria. In the first step, the assessment of annual water quality categories of each sampling station was estimated by the calculation of CCME WQI modified according to the Bulgarian legislation. In the next step, all annual water quality categories (n = 105) characterized by the factors used for CCME WQI calculation (scope, frequency, amplitude) underwent SOM analysis. The results of implementation of the WQI factors in SOM calculations reveal similar groups of annual water quality categories with specific CCME WQI patterns among the whole river catchment. The obtained patterns represent different water quality situations, which could be treated by different management activities. Additionally, the visualization advantages of the SOM algorithm allowed for detection of the water quality temporal changes and similarity between sampling stations among river catchment. Thus, the combination between integral CCME WQI assessment and multivariate technique SOM made it possible to achieve a precise river catchment water quality assessment, which could be used by water management authorities.Galina YotovaMarian VarbanovEmilia TcherkezovaStefan TsakovskiElsevierarticleWater quality assessmentWater quality indexSelf-organizing mapsRiver catchmentEcologyQH540-549.5ENEcological Indicators, Vol 120, Iss , Pp 106872- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Water quality assessment Water quality index Self-organizing maps River catchment Ecology QH540-549.5
spellingShingle	Water quality assessment Water quality index Self-organizing maps River catchment Ecology QH540-549.5 Galina Yotova Marian Varbanov Emilia Tcherkezova Stefan Tsakovski Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
description	The river catchment management is a complex problem, which requires analysis of massive amounts of mandatory monitoring data on analytical, spatial, and temporal level. The present study deals with the application of a novel water quality assessment approach combining water quality index (WQI) developed by the Canadian Council of Ministers of the Environment (CCME) and self-organizing maps of Kohonen (SOM). The study is carried out by using long-term water quality monitoring data (2008–2018) collected from 10 sampling stations located in the Mesta River catchment, Bulgaria. In the first step, the assessment of annual water quality categories of each sampling station was estimated by the calculation of CCME WQI modified according to the Bulgarian legislation. In the next step, all annual water quality categories (n = 105) characterized by the factors used for CCME WQI calculation (scope, frequency, amplitude) underwent SOM analysis. The results of implementation of the WQI factors in SOM calculations reveal similar groups of annual water quality categories with specific CCME WQI patterns among the whole river catchment. The obtained patterns represent different water quality situations, which could be treated by different management activities. Additionally, the visualization advantages of the SOM algorithm allowed for detection of the water quality temporal changes and similarity between sampling stations among river catchment. Thus, the combination between integral CCME WQI assessment and multivariate technique SOM made it possible to achieve a precise river catchment water quality assessment, which could be used by water management authorities.
format	article
author	Galina Yotova Marian Varbanov Emilia Tcherkezova Stefan Tsakovski
author_facet	Galina Yotova Marian Varbanov Emilia Tcherkezova Stefan Tsakovski
author_sort	Galina Yotova
title	Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
title_short	Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
title_full	Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
title_fullStr	Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
title_full_unstemmed	Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
title_sort	water quality assessment of a river catchment by the composite water quality index and self-organizing maps
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c2a280f7106c4a25b67dd597087b1514
work_keys_str_mv	AT galinayotova waterqualityassessmentofarivercatchmentbythecompositewaterqualityindexandselforganizingmaps AT marianvarbanov waterqualityassessmentofarivercatchmentbythecompositewaterqualityindexandselforganizingmaps AT emiliatcherkezova waterqualityassessmentofarivercatchmentbythecompositewaterqualityindexandselforganizingmaps AT stefantsakovski waterqualityassessmentofarivercatchmentbythecompositewaterqualityindexandselforganizingmaps
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Water quality assessment of a river catchment by the composite water quality index and self-organizing maps

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