4.7 Article

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

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 27, Issue 31, Pages 38545-38558

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-09688-y

Keywords

Water quality index (WQI) model; Sodium adsorption ratio; Principal component analysis; Geostatistical techniques; Human health risk assessment; Swat River

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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 (WHO2011) 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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