Ground‐Water Systems Simulation by Time‐Series Techniques

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Abstract
Time‐series techniques have been widely used in economic and environmental contexts. This paper explores their use in ground‐water systems. The basic techniques are considered in relation to hydrogeology and two case histories show their application to real systems. Water level fluctuations in a well field are shown to be dependent upon pumping rates and prior rainfall and can be simulated by a multiple linear regression model. The rate of dewatering of a mine is shown to be dependent upon pumping rates and prior rainfall and can be simulated by a multiple linear regression model. The rate of dewatering of a mine is shown to be dependent upon antecedent mine size and rainfall, and can also be simulated by a multiple linear regression model. Such models can be used for forecasting and control of the ground‐water systems, and once formulated are ideally suited to the management of ground‐water systems where more costly and complex methods cannot be used.