The use of multivariate statistical techniques in the assessment of river water quality
Anbar Journal for Engineering Sciences,
2020, Volume 11, Issue 2, Pages 193-203
AbstractThis study assessed the temporal and spatial water quality variability to reveal the characteristics of the Shatt Al-Arab River, Basrah, Iraq. A total of 14 water quality parameters (water tempera-ture (T), pH, electrical conductivity (EC), Alkanets (Alk), total dissolved solids (TDS), turbidity (Tur), total hardness (TH), calcium (Ca), magnesium (Mg), chloride (Cl), sulphate (SO4), total suspended solids (TSS), sodium (Na), and potassium (k)) were analyzed Use of multivariate sta-tistical methods in a total of three stations for the period 2016-2017. In this study was use a sta-tistical approach to determine the water quality using the Pearson Correlation Index (PCI), Prin-cipal component analysis (PCA), and Factor Analysis (FA) were used to analyze the data. Main water pollutant sources were wastewater from agricultural drainage and industrial wastewater. Significant relationships recorded between the investigated parameters based on the results of PCI, at the 0.01 and 0.05 significance levels. Per the FA results, 77.1 % of the total variance ex-plained by two factors..
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