Time Series Modeling iof Water Quality Parameters

Abstract

The inadequate access to safe water can cause people’s health to suffer and resulting to mortality. The study and forecasting of water quality is necessary to improve water quality and reduce mortality rate caused by unsafe water. The study uses time series modeling to monitor the quality of water parameters in Eleyele Dam. ARIMA model was used to generate and forecast the quality of water. Results show that time series modeling is quite capable of water quality forecasting which will help government and decision maker on quality water management system.

Keywords:ARIMA, Mortality, Forecasting, Time Series, Parameters

DOI: 10.7176/JEES/10-9-07

Publication date:September 30^th 2020