Evaluation of water quality by Fuzzy DEMATEL and statistics analysis

Significant deterioration in water quality produced by natural components and human activities can mark anthropological health and ecologies. Therefore, it is significant to check the water quality on a regular basis. This study emphases on the location of 21 water components and 14 diverse water monitoring stations along the Shirin rood River. Multivariate analysis is used in this study. The PCA examinesthe origin of each parameter that contributes to river pollution. The AHC technique is used to group all water qualitymonitoring stations depend on the level of river contamination regions. The study then expands the Fuzzy Decision Trail and Evaluation Institute (FDEMATEL) to discovery causal relationships amongst river pollutants. The results display that 5 key PCs with 53.128% of total alteration were gained from the water quality information. AHC categorizes three clustered areas as low, medium and high contamination. The results of this study will help disclose significant information about river water quality in order to managepollution sources and thereby maintaininhabitants and ecosystem health.