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

Environ Sci Pollut Res Int. 2020 Nov;27(31):38545-38558. doi: 10.1007/s11356-020-09688-y. Epub 2020 Jul 4.

Abstract

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, HQingestion, HQdermal, and HI values were > 1, indicating noncarcinogenic health risk (NCR) posed by these HM to the exposed population.

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

MeSH terms

  • Drinking Water / analysis*
  • Environmental Monitoring
  • Metals, Heavy / analysis*
  • Pakistan
  • Risk Assessment
  • Rivers
  • Water Pollutants, Chemical / analysis*
  • Water Quality

Substances

  • Drinking Water
  • Metals, Heavy
  • Water Pollutants, Chemical