Integrating water quality indices and multivariate statistical techniques for water pollution assessment of the Volta Lake, Ghana

2021 ◽  
Vol 7 (5) ◽  
Author(s):  
Collins K. Tay
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Pollution Assessment ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Quality Indices ◽  
Multivariate Statistical ◽  
Water Quality Indices ◽  
Volta Lake

Assessment of water quality using different pollution indices and multivariate statistical techniques

2021 ◽  
pp. 165-178
Author(s):  
Vishal Sharma ◽  
Mamta Sharma ◽  
Shevita Pandita ◽  
Vinod Kumar ◽  
Jasmeet Kour ◽  
...  
Keyword(s):  
Water Quality ◽  
Statistical Techniques ◽  
Pollution Indices ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical

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

2020 ◽  
Vol 27 (31) ◽  
pp. 38545-38558 ◽  
Author(s):  
Shah Jehan ◽  
Ihsan Ullah ◽  
Sardar Khan ◽  
Said Muhammad ◽  
Seema Anjum Khattak ◽  
...  
Keyword(s):  
Water Quality ◽  
Health Risk ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Statistical Techniques ◽  
Northern Pakistan ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Poor Water Quality ◽  
Swat River

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.

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