GEOSTATISTICAL MODELLING OF HYDRODYNAMIC PARAMETERS OF ALLUVIAL AQUIFERS USING ORDINARY KRIGING
Abstract
Groundwater resources are the most conventional source usable in arid and semi-arid regions southeastern Algeria (Biskra city). This region is known for its many oases and famous dates and has been affected by drought in recent years. The extreme climate and less frequent rainfall have contributed to a decrease in the availability of groundwater. Therefore, estimating and mapping Transmissivity (T) and Hydraulic conductivity (K) are essential for understanding and evaluating the hydraulic properties of alluvial aquifers in the Biskra study area. In this context, the present research applies geostatistical techniques to estimate the spatial variability of hydrodynamic parameters using measurement data to yield a probability map. The estimation of hydrodynamic parameters T and K was mapped by ordinary kriging, where the best-fitted variogram is a Spherical model for Transmissivity and a Gaussian model for log10 (Hydraulic conductivity). It was validated by the cross-validation test with the root mean square error (RMSE). The results show that the geostatistical approach using ordinary Kriging is an important tool for estimating the spatial variability of hydrodynamic parameters in alluvial aquifers.
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