Functional evaluation of a simplified scaling method for assessing the spatial variability of soil hydraulic properties at the hillslope scale |
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| Authors: | Paolo Nasta Nunzio Romano Giovanni B Chirico |
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| Institution: | 1. Department of Agricultural Engineering and Agronomy, Division of Water Resources and Biosystems Engineering , University of Naples , Federico , II, I-80055 , Napoli , Italy E-mail: paolo.nasta@unina.it paolo.nasta@unina.it;3. Department of Agricultural Engineering and Agronomy, Division of Water Resources and Biosystems Engineering , University of Naples , Federico , II, I-80055 , Napoli , Italy E-mail: paolo.nasta@unina.it |
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| Abstract: | Abstract Mapping soil hydraulic parameters with traditional scaling methods that use laboratory-determined hydraulic characteristics (the LAB method) is not always feasible as it involves expensive, time-consuming and sophisticated measurements on soil samples collected in several locations of the study area. An alternative scaling method (the AP method) has been recently proposed to indirectly retrieve the soil hydraulic properties following the Arya-Paris physico-empirical pedotransfer function, which makes use of particle-size distribution and bulk density values. In this synthetic study we verify the performance of the AP method from a functional perspective, by evaluating the differences in the simulated soil water budget through a Monte Carlo approach. Notwithstanding that the AP method can provide soil hydraulic property patterns with faster experimental procedures and minor costs, we observe significant bias in the predicted spatially-averaged soil water budget due to a poor parametric calibration of the AP method and an imprecise identification of the spatial correlation structure of the AP-estimated scaling factors. Citation Nasta, P., Romano, N., and Chirico, G.B., 2013. Functional evaluation of a simplified scaling method for assessing the spatial variability of soil hydraulic properties at the hillslope scale. Hydrological Sciences Journal, 58 (5), 1059–1071. |
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| Keywords: | soil spatial variability pedotransfer function scaling functional analysis stochastic generation |
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