Stochastic Analysis of Groundwater Levels in a Temperate Climate

Time-based characteristics of groundwater table data have been described by a model with periodic and stochastic components. The periodic component has been analyzed by Fourier Series, and the stochastic component by an Auto-regressive model. The developed model has been used to predict monthly groundwater table values for an area within a temperate climate. On the basis of reasonable agreement between predicted and observed data, the developed model is satisfactory to describe the time-based structure of the groundwater table, and provides a valuable tool for data generation for the longer durations required for the design and operation of many water management projects.