Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models

Detalhes bibliográficos
Autor(a) principal: Vázquez, E. Vidal
Data de Publicação: 2005
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://www.repositorio.ufba.br/ri/handle/ri/7072
Resumo: p. 337–353
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spelling Vázquez, E. VidalMiranda, José Garcia VivasGonzález, A. PazVázquez, E. VidalMiranda, José Garcia VivasGonzález, A. Paz2012-10-31T13:04:58Z20050304-3800http://www.repositorio.ufba.br/ri/handle/ri/7072v. 182, n. 3–4p. 337–353Soil surface roughness and the complementary soil microrelief depression pattern determine water infiltration, overland flow and drainage network development. The characteristic soil surface roughness remains poorly defined, because of difficulties in quantifying soil microrelief by single indices. Moreover, self-affine fractal models have been found to adequately describe soil surface microtopographic features only in a small range of length scales. At least two parameters are required to assess fractal microrelief surfaces, fractal dimension, D, describing how roughness changes with scale, and the so-called crossover length, l, which specifies the variance at a reference scale. This study focuses on isotropy and heterogeneity analysis of soil surface point elevation data sets, measured with different resolutions, by pinmeter and laser scanner, under field and laboratory conditions. Selected examples of elevation data sets illustrate how real surfaces cannot be ideally fractal, even over limited length scales.Values estimated for the fractal parameters, D and l, by two independent methods, semivariogram (SMV) and local root mean square (RMS), presented some bias, although from a practical point of view both methods gave equivalent results. Irrespective of calculation method and after having removed both, slope and primary tillage effects, DSMV and DRMS values were always above 2.5, indicating anti-persistent behavior. The DSMV and DRMS values were highly correlated with each other, although the relationship was not one to one. Differences in lSMV and lRMS were only apparent for plots with very large structural units and random roughness. Fractal characterization of soil anisotropy and heterogeneity by the SMV and the RMS methods, respectively,may be very useful as a way to compare data sets obtained for different treatments or soil surface evolution conditions, when measured with the same resolution. Isotropic/anisotropic features of the soil microrelief were visualized by means of a Hurst rose plot, where DSMV values estimated for different directions were represented. Local spatially variable DRMS values provided a description of the heterogeneity/homogeneity of the soil surface. © 2004 Elsevier B.V. All rights reserved.Submitted by JURANDI DE SOUZA SILVA (jssufba@hotmail.com) on 2012-10-31T13:04:58Z No. of bitstreams: 1 1-s2.0-S0304380004001681-main.pdf: 807071 bytes, checksum: f51cd87afa1fbd95c98e4b1cc4ceac18 (MD5)Made available in DSpace on 2012-10-31T13:04:58Z (GMT). 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dc.title.pt_BR.fl_str_mv Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
dc.title.alternative.pt_BR.fl_str_mv Ecological Modelling
title Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
spellingShingle Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
Vázquez, E. Vidal
Microrelief
Roughness
Fractal dimension
Self-affinity
Variogram
Root mean square
title_short Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
title_full Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
title_fullStr Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
title_full_unstemmed Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
title_sort Characterizing anisotropy and heterogeneity of soil surface microtopography using fractal models
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
Vázquez, E. Vidal
Miranda, José Garcia Vivas
González, A. Paz
dc.subject.por.fl_str_mv Microrelief
Roughness
Fractal dimension
Self-affinity
Variogram
Root mean square
topic Microrelief
Roughness
Fractal dimension
Self-affinity
Variogram
Root mean square
description p. 337–353
publishDate 2005
dc.date.issued.fl_str_mv 2005
dc.date.accessioned.fl_str_mv 2012-10-31T13:04:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.repositorio.ufba.br/ri/handle/ri/7072
dc.identifier.issn.none.fl_str_mv 0304-3800
dc.identifier.number.pt_BR.fl_str_mv v. 182, n. 3–4
identifier_str_mv 0304-3800
v. 182, n. 3–4
url http://www.repositorio.ufba.br/ri/handle/ri/7072
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv http://dx.doi.org/10.1016/j.ecolmodel.2004.04.012
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
institution UFBA
reponame_str Repositório Institucional da UFBA
collection Repositório Institucional da UFBA
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