Statistical Analysis and Modeling (Forecasting) of the Temperature Time Series of Ahvaz Metropolis

Abstract

<strong>Forecasting of temperature and precipitation can be efficiently used in decision making and optimal use of water resources. Studies in Iran have indicated a significant increase in annual temperature. This issue should be further researched in the Ahvaz region because it is the population hub in the southwest of Iran and the pole of irrigation networks and traditional agricultural land with huge number of oil, petrochemical, steel, and electricity industries. The present study aimed to analyze the time series of annual temperature of Ahvaz in order to determine the components of time series and especially to clarify the component of share rate trend and their variations. The condition of the next 58 years was then predicted and simulated in this study using the theory of stochastic time series along with the ratio trend. Results indicated that the temperature had an increasing trend equal to 3.81 °C/100 year.</strong>