Assessing the impact of pollutants on water quality in the east coast of Iran using Fuzzy DEMATEL and water quality index

The present approaches of the water ecological quality evaluation usually emphasis on the ecological features and fail to cover the main requests of environmental representation plan. These approaches absence a complete examination of maintainable expansion and conservation competences. In addition, the particular examination and calculating of weight also dues to unsteady productivity. Over this technique, it is able to analyse the important features methodically, which effect the water ecological scheme, lastly varieties the evaluation more convincible. 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 principal component analysis examines the origin of each parameter that contributes to river pollution. The Agglomerative Hierarchical Clustering technique is used to group all water quality monitoring 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 principal components with 53.128% of total alteration were gained from the water quality information. Agglomerative Hierarchical Clustering 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 manage pollution sources and thereby maintain inhabitants and ecosystem health.