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• W4313232282 abstract "This study refers to the Hydrological Open Air Laboratory (HOAL) watershed, located in South-West Austria. The spatial variability of saturated hydraulic conductivity, Ks, is sometimes synthetized by geometric mean, K̃s, and coefficient of variation, while areal-average infiltration models rely upon the arithmetic mean, K¯sl, associated to log-transformed Ks, and relative coefficient of variation, CVal. Robust estimation of K¯sl and CVal, as well as of K̃s and associated coefficient of variation, CVg,would require a large number of Ks observations. The determination of the minimum number of Ks measurements, n*, for obtaining sufficiently accurate values of each aforementioned quantity over an area is an open issue addressed here. A statistical approach has been applied to Ks datasets on three grassy plots for an uncertainty analysis based on the non-parametric bootstrap method with replacement. The uncertainty of each quantity has been derived for different observation numbers and areas. Considering different sub-regions in the largest plot the uncertainty is almost invariant with increasing the sub-region area beyond a threshold. Furthermore, for a given n*, the uncertainty of K¯sl and CVal is much smaller than that of K̃s and CVg. Our approach defines a methodology for determining over an area the n* associated to a fixed uncertainty level in the joint estimation of the selected quantities. Guidelines for investigations over different plots are also proposed." @default.
• W4313232282 created "2023-01-06" @default.
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• W4313232282 date "2023-02-01" @default.
• W4313232282 modified "2023-10-15" @default.
• W4313232282 title "A statistical approach for the assessment of the saturated hydraulic conductivity applied to an Austrian region" @default.
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• W4313232282 doi "https://doi.org/10.1016/j.ejrh.2022.101310" @default.
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