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Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model

This study evaluates the characteristics of water along the Swat River, Northern Pakistan. For this purpose, water samples (n = 30) were collected and analyzed for physicochemical parameters including heavy metals (HM). The mean concentrations of physicochemical parameters and HM were within the dri...

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Autores principales: Jehan, Shah, Ullah, Ihsan, Khan, Sardar, Muhammad, Said, Khattak, Seema Anjum, Khan, Tariq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525278/
https://www.ncbi.nlm.nih.gov/pubmed/32623668
http://dx.doi.org/10.1007/s11356-020-09688-y
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author Jehan, Shah
Ullah, Ihsan
Khan, Sardar
Muhammad, Said
Khattak, Seema Anjum
Khan, Tariq
author_facet Jehan, Shah
Ullah, Ihsan
Khan, Sardar
Muhammad, Said
Khattak, Seema Anjum
Khan, Tariq
author_sort Jehan, Shah
collection PubMed
description This study evaluates the characteristics of water along the Swat River, Northern Pakistan. For this purpose, water samples (n = 30) were collected and analyzed for physicochemical parameters including heavy metals (HM). The mean concentrations of physicochemical parameters and HM were within the drinking water guideline values set by the World Health Organization (WHO 2011) except 34%, 60%, and 56% of copper (Cu), nickel (Ni), and lead (Pb), respectively. Pollution sources were identified by various multivariate statistical techniques including correlation analysis (CA) and principal component analysis (PCA) indicating different origins both naturally and anthropogenically. Results of the water quality index (WQI) ranged from 13.58 to 209 with an average value of 77 suggesting poor water quality for drinking and domestic purposes. The poor water quality was mainly related to high sodium (alkalinity) and salinity hazards showing > 27% and 20% water samples have poor alkalinity and salinity hazards, respectively. Hazard quotient (HQ) and hazard index (HI) were used to determine the health risk of HM in the study area. For water-related health risk, HQ(ingestion), HQ(dermal), and HI values were > 1, indicating noncarcinogenic health risk (NCR) posed by these HM to the exposed population.
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spelling pubmed-75252782020-10-14 Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model Jehan, Shah Ullah, Ihsan Khan, Sardar Muhammad, Said Khattak, Seema Anjum Khan, Tariq Environ Sci Pollut Res Int Research Article This study evaluates the characteristics of water along the Swat River, Northern Pakistan. For this purpose, water samples (n = 30) were collected and analyzed for physicochemical parameters including heavy metals (HM). The mean concentrations of physicochemical parameters and HM were within the drinking water guideline values set by the World Health Organization (WHO 2011) except 34%, 60%, and 56% of copper (Cu), nickel (Ni), and lead (Pb), respectively. Pollution sources were identified by various multivariate statistical techniques including correlation analysis (CA) and principal component analysis (PCA) indicating different origins both naturally and anthropogenically. Results of the water quality index (WQI) ranged from 13.58 to 209 with an average value of 77 suggesting poor water quality for drinking and domestic purposes. The poor water quality was mainly related to high sodium (alkalinity) and salinity hazards showing > 27% and 20% water samples have poor alkalinity and salinity hazards, respectively. Hazard quotient (HQ) and hazard index (HI) were used to determine the health risk of HM in the study area. For water-related health risk, HQ(ingestion), HQ(dermal), and HI values were > 1, indicating noncarcinogenic health risk (NCR) posed by these HM to the exposed population. Springer Berlin Heidelberg 2020-07-04 2020 /pmc/articles/PMC7525278/ /pubmed/32623668 http://dx.doi.org/10.1007/s11356-020-09688-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Jehan, Shah
Ullah, Ihsan
Khan, Sardar
Muhammad, Said
Khattak, Seema Anjum
Khan, Tariq
Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model
title Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model
title_full Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model
title_fullStr Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model
title_full_unstemmed Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model
title_short Evaluation of the Swat River, Northern Pakistan, water quality using multivariate statistical techniques and water quality index (WQI) model
title_sort evaluation of the swat river, northern pakistan, water quality using multivariate statistical techniques and water quality index (wqi) model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525278/
https://www.ncbi.nlm.nih.gov/pubmed/32623668
http://dx.doi.org/10.1007/s11356-020-09688-y
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