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| Titel |
Multifractal analysis of vertical profiles of soil penetration resistance at the field scale |
| VerfasserIn |
G. M. Siqueira, E. F. F. Silva, A. A. A. Montenegro, E. Vidal Vázquez, J. Paz-Ferreiro |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 20, no. 4 ; Nr. 20, no. 4 (2013-07-23), S.529-541 |
| Datensatznummer |
250018988
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| Publikation (Nr.) |
 copernicus.org/npg-20-529-2013.pdf |
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| Zusammenfassung |
| Soil penetration resistance (PR) is widely used as an indirect indicator of
soil strength. Soil PR is linked to basic soil properties and correlated to
root growth and plant production, and as such it is extensively used as a
practical tool for assessing soil compaction and to evaluate the effects of
soil management. This study investigates how results from multifractal
analysis can quantify key elements of depth-dependent soil PR profiles and
how this information can be used at the field scale. We analysed
multifractality of 50 PR vertical profiles, measured from 0 to 60 cm depth
and randomly located on a 6.5 ha sugar cane field in northeastern Brazil.
The scaling property of each profile was typified by singularity, and
Rényi spectra estimated by the method of moments. The Hurst exponent was
used to parameterize the autocorrelation of the vertical PR data sets. The
singularity and Rènyi spectra showed that the vertical PR data sets
exhibited a well-defined multifractal structure. Hurst exponent values were
close to 1, ranging from 0.944 to 0.988, indicating strong persistence in PR
variation with soil depth. Also, the Hurst exponent was negatively and
significantly correlated to coefficient of variation (CV), skewness and
maximum values of the depth-dependent PR. Multifractal analysis added
valuable information to describe the spatial arrangement of depth-dependent
penetrometer data sets, which was not taken into account by classical
statistical indices. Multifractal parameters were mapped over the
experimental field and compared with mean and maximum values of PR.
Combination of spatial variability survey and multifractal analysis appear to
be useful to manage soil compaction. |
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