Evaluation of surface water quality and heavy metal pollution of Coruh River Basin (Turkey) by multivariate statistical methods

Bilgin, Ayla; Konanç, Mustafa Umut

doi:10.1007/s12665-016-5821-0

Cited by 52 publications

(15 citation statements)

References 34 publications

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“…Surface water is one of the most precious inland resources, necessary to sustain life, agricultural, industrial and recreational purposes (Razmkhah et al 2010;Biglin and Konanc 2016). The quality of a river at any point reflects major influences, including the lithology of the basin, atmospheric inputs, climatic conditions and anthropogenic inputs (Bricker and Jones 1995;Reza and Singh 2010;Herojeet et al 2015b;Jung et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Quality characterization and pollution source identification of surface water using multivariate statistical techniques, Nalagarh Valley, Himachal Pradesh, India

Herojeet¹,

Rishi

Lata

et al. 2017

Appl Water Sci

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Sirsa River flows through the central part of the Nalagarh valley, belongs to the rapid industrial belt of Baddi, Barotiwala and Nalagarh (BBN). The appraisal of surface water quality to ascertain its utility in such ecologically sensitive areas is need of the hour. The present study envisages the application of multivariate analysis, water utility class and conventional graphical representation to reveal the hidden factor responsible for deterioration of water quality and determine the hydrochemical facies and its evolution processes of water types in Nalagarh valley, India. The quality assessment is made by estimating pH, electrical conductivity (EC), total dissolved solids (TDS), total hardness, major ions (Na ? and K ? ions for pre monsoon and EC during pre and post monsoon at few sites and approx 40% samples of BOD and TC for both seasons exceeds the permissible limits indicate organic contamination from human activities. Water quality classification for designated use indicates that maximum surface water samples are not suitable for drinking water source without conventional treatment. The result of piper trillinear and Chadha's diagram classified majority of surface water samples for both seasons fall in the fields of Ca 2? -Mg 2? -HCO 3 -water type indicating temporary hardness. PCA and CA reveal that the surface water chemistry is influenced by natural factors such as weathering of minerals, ion exchange processes and anthropogenic factors. Thus, the present paper illustrates the importance of multivariate techniques for reliable quality characterization of surface water quality to develop effective pollution reduction strategies and maintain a fine balance between the industrialization and ecological integrity.,

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Section: Introductionmentioning

confidence: 99%

Quality characterization and pollution source identification of surface water using multivariate statistical techniques, Nalagarh Valley, Himachal Pradesh, India

Herojeet¹,

Rishi

Lata

et al. 2017

Appl Water Sci

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“…In order to assess the impacts generated on water quality, it is necessary to analyze their temporal and spatial variations, as well as the physical, chemical and biological processes that occur dynamically in a river basin (BILGIN;KONANÇ, 2016;LO-BATO et al, 2015;MONICA;CHOI, 2016).…”

Section: Artigosmentioning

confidence: 99%

Creation of a groundwater quality index for an aquifer belonging to the São Francisco River Basin

2019

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Entender como e onde as atividades antrópicas influenciam a qualidade da água de um aquífero é de extrema importância para o monitoramento e manejo destas, porém as ferramentas utilizadas para esse fim são escassas. O objetivo deste estudo foi criar e espacializar um índice específico de qualidade da água subterrânea para avaliar a qualidade da água de um aquífero. Assim, através de uma padronização dos dados, bem como um dimensionamento de acordo com a sua concentração ou medição para criar os sub-índices e com base na estatística multivariada, estabeleceu-se os pesos de cada uma das variáveis envolvidas neste estudo. As variáveis utilizadas neste estudo são dados secundários fornecidos pelo IGAM, coletados no ano de 2017. Além disso, após a criação deste índice, especializou-se o mesmo para visualizar as zonas que sofrem as maiores influências antrópicas. Além disso, com base no índice espacialmente criado, foi possível identificar que a área na porção mais ao norte do mapa é onde foi encontrada a melhor qualidade da água. Assim, observou-se que o nitrato é a variável mais importante neste estudo. Portanto, foi possível concluir que o índice criado é capaz de auxiliar no monitoramento e gestão dos recursos hídricos

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“…Factor Analysis (FA) is a quite powerful and widely used statistical technique that helps to assess the effective factors on the quality of aquatic habitats [17][18][19]. In this study, FA was applied to the results by using the "SPSS 17" package program.…”

Section: Chemical and Statistical Analysismentioning

confidence: 99%

Sediment Quality Assessment in Porsuk Stream Basin (Turkey) from a Multi-Statistical Perspective

Köse¹,

Emiroğlu²,

Çıçek³

et al. 2018

Pol. J. Environ. Stud.

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Heavy metals, which can be strongly accumulated and biomagnified along water, sediment, and aquatic food chain, are the most important inorganic contamination factors and have significant hazardous effects on the ecological balance of the environment. It is clearly revealed and clearly known that sediment may act as a sink of various contaminants and pose a significant risk to water quality [1][2][3][4][5].Porsuk Stream is one of the most important and the longest branches of the Sakarya River. Porsuk, with a length of 448 km, has a reservoir on the watershed Pol. J. Environ. Stud. Vol. 27, No. 2 (2018), 747-752 Original Research Sediment Quality Assessment in Porsuk StreamBasin ( AbstractPorsuk Stream Basin is a significant aquatic habitat located in the middle of the Aegean and Central Anatolian Regions of Turkey. Similar to may aquatic habitats, it is exposed to intensive agricultural, domestic, and industrial pollution. The aim of this study was to determine the toxic element levels in Porsuk Stream Basin sediment and evaluate the detected data using a multi-statistical technique. For this purpose, sediment samples were collected from 18 stations selected on the basin (three of them located on Porsuk Dam Lake) in summer 2015, and zinc, copper, lead, cadmium, nickel, and chromium accumulations in sediment samples were determined. All the detected data were compared with the consensus-based threshold effect concentrations (TEC), and factor analysis (FA) also was applied to detected data in order to evaluate the contamination grades in the basin. According to detected data, although Cu, Pb, and Cd concentrations were detected below the limit values, Zn, Cr, and Ni concentrations exceeded the limit values in general. According to results of FA, 3 factors -industrial, agricultural, and lead -explained 81.56% of the total variance.

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Evaluation of surface water quality and heavy metal pollution of Coruh River Basin (Turkey) by multivariate statistical methods

Cited by 52 publications

References 34 publications

Quality characterization and pollution source identification of surface water using multivariate statistical techniques, Nalagarh Valley, Himachal Pradesh, India

Quality characterization and pollution source identification of surface water using multivariate statistical techniques, Nalagarh Valley, Himachal Pradesh, India

Creation of a groundwater quality index for an aquifer belonging to the São Francisco River Basin

Sediment Quality Assessment in Porsuk Stream Basin (Turkey) from a Multi-Statistical Perspective

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