Assessment of Water Quality of Marun Dam Reservoir Using Principal Component Analysis (PCA) Method Based on Correlation and Water Quality Data Changes, Behbehan, Khuzestan


1 Environmental Engineering Department, Agriculture and Natural Resources College, Islamic Azad University, Meybod.

2 Geology Department, Faculty of Earth Science, Shahid Chamran University of Ahvaz.


      One of the important issues in monitoring of water quality resources system is determine the foremost pollutant resources and assess impressive resources responsible to control water quality. In this investigation, principal component analysis (PCA) method was used to identify the main water quality parameter which play a significant role to govern water quality of the Marun dam reservoir. The collected data indicated that four factors are responsible for water quality deterioration of the reservoir including natural and biologic sources. The main resources is physico-chemical components which embraces TDS, Ca, Mg, Na, K, SO4, Cl, SSP  and results in from the dominant Gachsaran formation  that dominantly cover the study area. The next water deteriorating factors are biologic and biochemical where influencing DO, BOD and COD concentration.                                                                                                                                                                                                                             


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