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Assessment of spatial and seasonal water quality variation of Oum Er Rbia River(Morocco)using multivariate statistical techniques

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International Soil and Water Conservation Research 2016年第4期4卷 284-292页

作者： Ahmed Barakat Mohamed El Baghdadi jamila rais Brahim Aghezzaf Mohamed Slassi Georessources and Environment Laboratory Sultan My Slimane UniversityBéni-Mellal 23000Morocco Hydraulic Basin Agency of Oum Er Rbia(ABHOER) Béni-Mellal 23000Morocco

The aim of this study is to assess the spatial and temporal water quality variation and to determine the main contamination sources in the Oum Er Rbia River and its main tributary,El Abid *** water quality data were collected during 2000-2012 from fourteen sampling stations distributed along the *** water quality indicators used were TEMP,pH,EC,turbidity,TSS,DO,NH_(4)^(+),NH_(3)^(-),TP,BOD5,COD and *** water quality data was analyzed using multivariate statistical methods including Pearson's correlation,PCA,and *** results showed that in some stations the water quality parameters were over Moroccan water *** applied to compare the compositional patterns among the analyzed water samples,identified and four factors accounting for almost 63% of the total variation in the *** suggests that the variations in water compounds’concentration are mainly related to point source contamination(domestic and industrial wastewater),non-point source contamination(agriculture activities),as well as natural processes(weathering of soil and rock).CA showed relatively spatial and seasonal changes in surface water quality,which are usually indicators of contamination with rainfalls or other ***,this study showed that the water was potentially hazardous to health of the consumers and highlighted the need to treat industrial and municipal wastewater and to encourage sustainable agricultural practices to prevent adverse health *** therefore suggest wise management of anthropogenic activities in the catchment of Oum Er Bia River and their tributaries.

关键词： Oum Er Rbia basin Temporal/spatial assessment Water quality Multivariate statistics

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