Abstract
Aquifer characterization programs are usually performed with the objective of obtaining the data required to develop numerical groundwater models. Groundwater modeling starts with the development of a conceptual model, which is followed by the selection of a modeling code and model discretization. Initial values for the hydraulic and transport properties are then assigned to each model cell or element, which are subject to adjustment during the model calibration process. Predictive simulations are performed to evaluate the response of the aquifer to various stresses (e.g., groundwater pumping scenarios). A deterministic approach has been taken for most groundwater models, in which the goal is to obtain a single solution that represents a ‘best’ estimate of future conditions. The alternative stochastic approach involves running a large number of simulations in a probabilistic framework to explore the range of possible future conditions. The basic premise of stochastic modeling is that due to an incomplete knowledge of the spatial variability of parameters, the decision is made to analyze all (or least numerous) plausible representations of the aquifer. Stochastic modeling has high data requirements and is not a substitute for a robust aquifer characterization program.
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Maliva, R.G. (2016). Groundwater Model Development. In: Aquifer Characterization Techniques. Springer Hydrogeology. Springer, Cham. https://doi.org/10.1007/978-3-319-32137-0_19
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DOI: https://doi.org/10.1007/978-3-319-32137-0_19
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