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Understanding and describing the spatial charac- teristics of soil surface microrelief are required for modelling overland flow and erosion. We employed the multifractal ap- proach to characterize topographical point elevation data sets acquired by high resolution laser scanning for assessing the effect of simulated rainfall on microrelief decay. Three soil surfaces with different initial states or composition and rather smooth were prepared on microplots and subjected to succes- sive events of simulated rainfall. Soil roughness was mea- sured on a 2◊2 mm 2 grid, initially, i.e. before rain, and after each simulated storm, yielding a total of thirteen data sets for three rainfall sequences. The vertical microrelief component as described by the statistical index random roughness (RR) exhibited minor changes under rainfall in two out of three study cases, which was due to the imposed wet initial state constraining aggregate breakdown. The effect of cumulative rainfall on microrelief decay was also assessed by multifrac- tal analysis performed with the box-count algorithm. Gen- eralized dimension, Dq , spectra allowed characterization of the spatial variation of soil surface microrelief measured at the microplot scale. These Dq spectra were also sensitive to temporal changes in soil surface microrelief, so that in all the three study rain sequences, the initial soil surface and the surfaces disturbed by successive storms displayed great dif- ferences in their degree of multifractality. Therefore, Multi- fractal parameters best discriminate between successive soil stages under a given rain sequence. Decline of RR and mul- tifractal parameters showed little or no association.

Assessing soil surface roughness decay during simulated rainfall by multifractal analysis