An Approach for Classifying River Water Quality using Data Mining Technique

Water is vital for life, as a water supply for people, for the diverse ecosystems on which we depend, for agriculture, industry and recreation. The amount of available fresh clean water of river Narmada is changing because of growing populations, changes in farming and the new needs of industry. Water quality determines the ‘goodness’ of water for particular purposes. In this paper, different water quality parameters are selected namely, Dissolved oxygen (DO), Nitrate (NO3), Biochemical oxygen demand (BOD), Hardness, pH, TDS and Temperature etc. These parameters are calculated for the Narmada River and Analyzed through Classification and Prediction techniques of Data mining via Software Tool ESTARD Ver. 3.1.325. The results conclude that DO, NO3 and BOD conditions vary from good to worst for the River Narmada at Hoshangabad district. The worst conditions are registered for the NO3-N, where the quality status of Water is poor due to industries sewage and also The comparisons of these parameters are combined to provide a water quality ranking (good[A], fair[B], poor[C], very poor[D]) for River Water.