Study of physicochemical parameters and wetland water quality assessment by using Shannon’s entropy

Abstract In water quality monitoring programs, optimization between information craved and collected involves scrupulous judgment making processes management approaches. The present study explores the few essential aspects of program considering Shannon’s entropy with case studies on a lakes wetlands in North Guwahati, Assam (India). Firstly, loss by traditional indices (WQIs) has been addressed use weighted WQIs (EWQIs) which takes into account randomness data sets removing error through subjective judgments experts assigning parameter weights. This concept was extended to quantification heavy metals. multi-criteria decision-making methods (MCDMs) such as TOPSIS introduced utilize weights rough set theory give reliable unbiased description overall pollution levels each sampling location. will be great help various agencies take care supply control since this forms significant tool for easy understanding thereby their applicability uncomplicated.