here (PDF file) - ETSI Agronomos - Universidad Politécnica de Madrid
here (PDF file) - ETSI Agronomos - Universidad Politécnica de Madrid
here (PDF file) - ETSI Agronomos - Universidad Politécnica de Madrid
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5 SUMMARIES OF THE POSTERS 20The pattern of space <strong>de</strong>pen<strong>de</strong>nce in time series was explored with graphtheory. A set of spatially distributed rain stations <strong>de</strong>fined graph vertices; ifthe Pearson correlation coefficient of the historic data for two stations werehigher than a significant limit we consi<strong>de</strong>r an edge between them. Cumulativedistribution of edges length exhibits a power law, suggesting a non-metricfractal behaviour.Title: Estimating soil hydraulic properties for upscaling field-scale mo<strong>de</strong>ls.Authors: O. Salazar, I. Wesstrom, A. Joel.Upscaling of field-scale hydrological mo<strong>de</strong>ls has been proposed to estimatethe watershed response. The use of these mo<strong>de</strong>ls has been limited in theselarge areas of land by the high spatial variability of saturated hydraulic conductivity(Ks). The aim of this study was to evaluate the feasibility of runningDRAINMOD field-scale mo<strong>de</strong>l with Ks input resulting from ROSETTApedotransfer function mo<strong>de</strong>l.Poster Session 2:Title: Quantifying a soil pore network in 3-d images: multifractal spectrumthrough wavelet approach.Authors: J. Grau.Knowledge on soil pore geometry is important for un<strong>de</strong>rstanding soil processesas it controls the movement and storage of fluids on various scales.With the advent of mo<strong>de</strong>rn non-<strong>de</strong>structive tomography techniques t<strong>here</strong>have been many attempts ma<strong>de</strong> to analyze pore space features mainly concentratingon the visualization of soil structure. Multifractal formalism or thewavelet transform have revealed as useful tools in these cases w<strong>here</strong> highlycomplex and heterogeneous medium are studied. The field of 3D pore spaceanalysis opens a challenging opportunity to <strong>de</strong>velop techniques for quantifyingand <strong>de</strong>scribe pore space properties. One of these quantifications canbe the maximum <strong>de</strong>pth pore network (MD), analogous as the quantificationof the preferential flow paths. In this paper a variation of the wavelettransform modulo maxima (WTMM) method is presented. Based on a setof statistical measurements directly obtained from the Wavelet Analysis therange of scales to perform the multifractal analysis (MFA) of the MD is selected.Then WTMM is applied to <strong>de</strong>termine the multifractal behaviour of3D images of soil samples with 45 mm resolution (250x250x250 voxels) withdifferent porosities and spatial arrangements.