Assessing Tigris River Water quality in Baghdad city using water quality index and multivariatestatistical analysis
Loading...
Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
Scientific Journal Impact Factor
Abstract
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
Description
Flaieh, Husain M. is a part time lecturer at Kampala International University
Keywords
water quality index, multivariate analysis, Tigris River, principal component analysis, factor analysis, cluster analysis