Influence of the uncertainty in the interpolation of the input concentration on the identification of the dispersivity from an unsaturated flow natural large scale tracer experiment
(2003) EGU General Assembly — Location: Nice, France
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- Abstract
- Assuring the quality of environmental monitoring data for long time series is well known to be a difficult task. Hence, if monitoring data are to be used to define the boundary conditions of a transport model, the uncertainty of the boundary condition and its impact on the flow need to be assessed. In this study, we use stochastic simulations i) to assess the uncertainty due to the interpolation in the time series on the top boundary conditions of a transport model to describe the chloride tracer transport in the vadose zone between a surface lake and an unconfined sandy aquifer during a 17 year tracer experiment; and ii) to assess the impact of this uncertainty on identified large scale transport parameters (i.e., dispersivity and velocity) by means of inverse modelling. Use was made of the discrete chloride monitoring data as observed in the lake of Louvain-la-Neuve, Belgium, and at 7 different depths in the 8-m deep unsaturated zone observation well situated between the lake and the underlying aquifer. Variogram analysis and stochastic simulation was used to generate a series of equiprobable quasi-continuous lake concentration data and uncertainty intervals from the discrete lake observations. We observed: (i) that uncertainty due to interpolation is far from negligible; (ii) a strong dependence to the type of interpolation model we used. However, despite this uncertainty, solute transport parameters can be obtained in a satisfactory way.
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Javaux, M., & Vanclooster, M. (2003). Influence of the uncertainty in the interpolation of the input concentration on the identification of the dispersivity from an unsaturated flow natural large scale tracer experiment. Geophysical Research Abstracts, p. EAE03-A-10262. https://hdl.handle.net/2078.5/154319