Forecasting of Water Level Using Seasonal Movement Approach

Abstract

This system estimates water level in Chindwinn River with seasonal movement in time series. This system uses seasonal movement approach. Time-Series is a set of observations generated sequentially in time. This system uses Seasonal movements to calculate monthly data. This system use moving average to get Seasonal index. This system uses trend analysis to forecast water level. Water level is forecasted by using least square method’s linear and Quadratic equation. This system gets minimum error by using mean square error method. It is being implemented using c#.