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Influence of Uncertainty of Mean Transmissivity, Transmissivity Variogram and Boundary Conditions onrs and make them also random variables. The impact of this additional uncertainty is investigated both for forward models (only conditioning to transmissivity data) and inverse models (conditioning to transmissivity and head data). The results are compared with the impact of uncertainty in the boundary conditions, consequat
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https://doi.org/10.1007/978-3-663-12997-4cess that information and produce realistic spatiotemporal maps of PM10 distribution over the US. We apply the approach presented on a large PM10 dataset from the USEPA AIRS database covering the 1984 to 2000 period.
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Comparison of Geostatistical Algorithms for Completing Groundwater Monitoring Well Timeseries Using rapidly within the island, and two groups of wells are distinguished: one under the influence of the river and another, interior group. The kriging of the latter derives spurious benefit from the secondary information, possibly due to other seasonally varying influences.
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