Rivers are important systems which provide water to fulfill human needs. However, excessive human uses over the years have led to deterioration in quality of river causing, causing health problems from contaminated water. This study focuses on the application of statistical techniques, Multiple Linear Regression model and MANOVA to assess health impacts due to pollution in Cauvery river stretch in Srirangapatna. In this study, using Multiple Linear Regression, it is found that health impact level is 60.8% dependent on water quality parameters of BOD, COD, TDS, TC and FC.

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This review paper critically analyzes the economic literature on the approaches of measuring the environmental benefits. It focuses on the economic methodologies that are available for the evaluation of the effects (social costs and benefits) of environmental changes (degradation/preservation) on river water quality. Further, it shows how the monetary valuations of these effects can have an impact in making of economic policy for creating more efficient water quality management for environmentally sustainable aspects. Over 85 papers were reviewed and it was found that the economic assessment tools were studied independently without comparing the impact of one method over the other. The literature does not provide information on economics of the interventions to protect the river water quality and relate it to the increase in local flora and fauna and decrease in averting costs incurred by local people. Furthermore, the reviewed papers have not economically quantified various pollution control measures to improve water quality in rivers.