Describing soil surface microrelief by crossover length and fractal dimension

Detalhes bibliográficos
Autor(a) principal: Vázquez, E. Vidal
Data de Publicação: 2007
Outros Autores: Miranda, José Garcia Vivas, González, A. Paz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/15955
Resumo: p. 223-235
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spelling Vázquez, E. VidalMiranda, José Garcia VivasGonzález, A. Paz2014-09-09T15:47:17Z2014-09-09T15:47:17Z20071023-5809http://repositorio.ufba.br/ri/handle/ri/15955v. 14, n. 3p. 223-235Accurate description of soil surface topography is essential because different tillage tools produce different soil surface roughness conditions, which in turn affects many processes across the soil surface boundary. Advantages of fractal analysis in soil microrelief assessment have been recognised but the use of fractal indices in practice remains challenging. There is also little information on how soil surface roughness decays under natural rainfall conditions. The objectives of this work were to investigate the decay of initial surface roughness induced by natural rainfall under different soil tillage systems and to compare the performances of a classical statistical index and fractal microrelief indices. Field experiments were performed on an Oxisol at Campinas, São Paulo State (Brazil). Six tillage treatments, namely, disc harrow, disc plow, chisel plow, disc harrow + disc level, disc plow + disc level and chisel plow + disc level were tested. Measurements were made four times, firstly just after tillage and subsequently with increasing amounts of natural rainfall. Duplicated measurements were taken per treatment and date, yielding a total of 48 experimental surfaces. The sampling scheme was a square grid with 25×25 mm point spacing and the plot size was 1350×1350 mm, so that each data set consisted of 3025 individual elevation points. Statistical and fractal indices were calculated both for oriented and random roughness conditions, i.e. after height reading have been corrected for slope and for slope and tillage tool marks. The main drawback of the standard statistical index random roughness, RR, lies in its no spatial nature. The fractal approach requires two indices, fractal dimension, D, which describes how roughness changes with scale, and crossover length, l, specifying the variance of surface microrelief at a reference scale. Fractal parameters D and l, were estimated by two independent self-affine models, semivariogram (SMV) and local root mean square (RMS). Both algorithms, SMV and RMS, gave equivalent results for D and l indices, irrespective of trend removal procedure, even if some bias was present which is in accordance with previous work. Treatments with two tillage operations had the greatest D values, irrespective of evolution stage under rainfall and trend removal procedure. Primary tillage had the greatest initial values of RR and l. Differences in D values between treatments with primary tillage and those with two successive tillage operations were significant for oriented but not for random conditions. The statistical index RR and the fractal indices l and D decreased with increasing cumulative rainfall following different patterns. The l and D decay from initial value was very sharp after the first 24.4 mm cumulative rainfall. For five out of six tillage treatments a significant relationship between D and l was found for the random microrelief conditions allowing a covariance analysis. It was concluded that using RR or l together with D best allow joint description of vertical and horizontal soil roughness variations.Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2014-01-07T15:32:30Z No. of bitstreams: 1 npg-14-223-2007.pdf: 949072 bytes, checksum: af8492f95218c76648f2a4e8c317c1ec (MD5)Approved for entry into archive by Rodrigo Meirelles (rodrigomei@ufba.br) on 2014-09-09T15:47:17Z (GMT) No. of bitstreams: 1 npg-14-223-2007.pdf: 949072 bytes, checksum: af8492f95218c76648f2a4e8c317c1ec (MD5)Made available in DSpace on 2014-09-09T15:47:17Z (GMT). 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dc.title.pt_BR.fl_str_mv Describing soil surface microrelief by crossover length and fractal dimension
dc.title.alternative.pt_BR.fl_str_mv Nonlinear Processes in Geophysics
title Describing soil surface microrelief by crossover length and fractal dimension
spellingShingle Describing soil surface microrelief by crossover length and fractal dimension
Vázquez, E. Vidal
title_short Describing soil surface microrelief by crossover length and fractal dimension
title_full Describing soil surface microrelief by crossover length and fractal dimension
title_fullStr Describing soil surface microrelief by crossover length and fractal dimension
title_full_unstemmed Describing soil surface microrelief by crossover length and fractal dimension
title_sort Describing soil surface microrelief by crossover length and fractal dimension
author Vázquez, E. Vidal
author_facet Vázquez, E. Vidal
Miranda, José Garcia Vivas
González, A. Paz
author_role author
author2 Miranda, José Garcia Vivas
González, A. Paz
author2_role author
author
dc.contributor.author.fl_str_mv Vázquez, E. Vidal
Miranda, José Garcia Vivas
González, A. Paz
description p. 223-235
publishDate 2007
dc.date.issued.fl_str_mv 2007
dc.date.accessioned.fl_str_mv 2014-09-09T15:47:17Z
dc.date.available.fl_str_mv 2014-09-09T15:47:17Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/15955
dc.identifier.issn.none.fl_str_mv 1023-5809
dc.identifier.number.pt_BR.fl_str_mv v. 14, n. 3
identifier_str_mv 1023-5809
v. 14, n. 3
url http://repositorio.ufba.br/ri/handle/ri/15955
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dc.publisher.country.fl_str_mv Brasil
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