WATER QUALITY MODELING OF RIVER YAMUNA USING MATLAB PROGRAMMING

Abstract

Water Quality Modeling plays a significant role in predicting the health of streams, rivers, lakes and various other surface water sources. By means of modeling various parameters that effects quality of water can be estimated and proper measures can be applied based on the predicted results which help in safeguarding the detoriating condition of the resource. The work carried out in this project report deals with the study of water quality modeling emphasing river water quality modeling and thereby development of a mathematical model to predict DO and BOD concentration of the river. The area chosen for the simulation of model is the 22 km stretch of river Yamuna at Delhi. The river Yamuna occupies a unique position in the cultural ethos of India. Being the largest tributary of river Ganga it has been one of the most important river of northern India. But due to rapidly increasing urbanization along its stretch the river is now compromising with its quality. The entire stretch of Yamuna river from origin to its confluence with Ganga is used for various human activities, the results of these activities are the generation of wastewater. River Yamuna receives significantly high amount of organic matter, which is generally, originates from domestic as well as industrial sources. For biodegradation, this organic waste requires oxygen, causing significant depletion of dissolved oxygen in river water. The oxygen depletion not only affects biotic community of the river but also affects its self-purification capacity. In this project model is made to run for three different cases, firstly for each month of the year, secondly the variation on the basis of yearly average where the actual scenario of river has been compared with the case in which one of the solution to the problem is applied that shows the improving condition. And lastly the variation at minor points has been observed to identify the most problematic region. Thus an effort has been made in the direction of improving the quality of Yamuna by predicting its DO and BOD level form source till end so that suitable recommendations can be provided to the decision makers for future scope.