Assessing Tigris River Water quality in Baghdad city using water quality index and multivariatestatistical analysis

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This study assesses spatial and long temporal variations in water quality over the years 2008-2011 for Tigris River by: use of a water quality index (WQI), and multivariate statistical methods namely: principal component analysis and factor analysis (PCA/FA) to extract the parameters that are most important in assessing variations of river water quality, and cluster analysis (CA) to parameters responsible to temporal and spatial variations , for 18 physiochemical pollution data sets :pH value, Electrical conductivity (EC), Total suspended solids (TSS), Temperature (T), Turbidity (Tur), Total alkalinity(TA), Total hardness (TH), Calcium(Ca+2), Magnesium (Mg+2), Sulfate(SO4-2), Total solids(TS) ,Iron(Fe+2), Aluminum(Al+3), Nitrite(NO2 -1), Nitrate(NO3 -1), Ammonia(NH3), Silica(Si), and Orthophosphate(PO4)-3, from the intake of 8 water treatment sampling sites on the river. WQI on a rating scale range 50 >WQI>300, is 192, indicating poor water quality, not safe for drinking, industrial and crop uses. (PCA/FA) total variance for the rotation sums of squared loadings gives70.742% for 4 components, and 52.186% cumulative for 2 factor components. CA analysis dendrogram gives 3 clusters based on 8 WTPs as: Cluster 1 lrashed,Alwahda),cluster2(cluster1,Al-Karkh,East-Tigrus,Al-hba),cluster3(cluster1,cluster2,Al-Karama,Al-Qadsiya,Al-Dora), and 3 clusters based on the 20 physical and chemical data sets parameters : Cluster 1(,TS, EC, SO4 -2 , Mg+2, Ca+2, TH), cluster2(cluster1, TA, pH, NO3 -1, Si), cluster3(cluster1,cluster2,Tur, Fe, NO2 -1, PO4 - 2,TSS,NH3 +1,Al+3
Flaieh, Husain M. is a part time lecturer at Kampala International University
water quality index, multivariate analysis, Tigris River, principal component analysis, factor analysis, cluster analysis