Quantifying physical and structural soil properties using X-ray microtomography
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.geoderma.2017.11.042 http://hdl.handle.net/11449/179494 |
Resumo: | One of the current challenges in the study of recovering soil architecture is physically evaluating the internal soil structure in unconventional ways. The elaboration of consistent methods and physical parameters has become necessary for soil structural analysis. The aim of this study is to analyze the soil structures of two groups of recovering tropical soils and to simulate three-dimensional water movement pathways using unconventional methods and physical soil parameters. The following results were obtained from the analysis: 1) the S index was used as an indicator to effectively quantify the degree of management; 2) Qualisolo software was used to obtain the soil water retention curve (SWRC) of each management type; 3) the degree of anisotropy of the solid structure reflected the soil network; 4) the Euler-Poincaré number reflected the connectivity of the soil pores for each management type; 5) the Shannon entropy indicated the degree of randomness of the soil; and 6) the results of the Arya and Paris model and the simulations of water movement pathways are similar. In conclusion, the obtained results reflect the internal soil structures and their corresponding characteristics. Thus, the results can be used to predict the influence of soil architecture on the movement of water in the soil. |
id |
UNSP_666294d4312290021296493aaa8432c5 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/179494 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Quantifying physical and structural soil properties using X-ray microtomography3D simulationDegree of anisotropyEuler-Poincaré numberMicrotomographyS indexShannon entropyOne of the current challenges in the study of recovering soil architecture is physically evaluating the internal soil structure in unconventional ways. The elaboration of consistent methods and physical parameters has become necessary for soil structural analysis. The aim of this study is to analyze the soil structures of two groups of recovering tropical soils and to simulate three-dimensional water movement pathways using unconventional methods and physical soil parameters. The following results were obtained from the analysis: 1) the S index was used as an indicator to effectively quantify the degree of management; 2) Qualisolo software was used to obtain the soil water retention curve (SWRC) of each management type; 3) the degree of anisotropy of the solid structure reflected the soil network; 4) the Euler-Poincaré number reflected the connectivity of the soil pores for each management type; 5) the Shannon entropy indicated the degree of randomness of the soil; and 6) the results of the Arya and Paris model and the simulations of water movement pathways are similar. In conclusion, the obtained results reflect the internal soil structures and their corresponding characteristics. Thus, the results can be used to predict the influence of soil architecture on the movement of water in the soil.University of São Paulo (USP) São Carlos School of Engineering, 400 Avenida Trabalhador São-carlensePaulista State University (UNESP), 56 Avenida Brasil, CentroEmbrapa Instrumentation, 1452, Rua XV de NovembroPaulista State University (UNESP), 56 Avenida Brasil, CentroUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Tseng, Chien LingAlves, Marlene Cristina [UNESP]Crestana, Silvio2018-12-11T17:35:24Z2018-12-11T17:35:24Z2018-05-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article78-87application/pdfhttp://dx.doi.org/10.1016/j.geoderma.2017.11.042Geoderma, v. 318, p. 78-87.0016-7061http://hdl.handle.net/11449/17949410.1016/j.geoderma.2017.11.0422-s2.0-850400863002-s2.0-85040086300.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGeoderma1,717info:eu-repo/semantics/openAccess2024-07-05T18:14:07Zoai:repositorio.unesp.br:11449/179494Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:04:53.358098Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Quantifying physical and structural soil properties using X-ray microtomography |
title |
Quantifying physical and structural soil properties using X-ray microtomography |
spellingShingle |
Quantifying physical and structural soil properties using X-ray microtomography Tseng, Chien Ling 3D simulation Degree of anisotropy Euler-Poincaré number Microtomography S index Shannon entropy |
title_short |
Quantifying physical and structural soil properties using X-ray microtomography |
title_full |
Quantifying physical and structural soil properties using X-ray microtomography |
title_fullStr |
Quantifying physical and structural soil properties using X-ray microtomography |
title_full_unstemmed |
Quantifying physical and structural soil properties using X-ray microtomography |
title_sort |
Quantifying physical and structural soil properties using X-ray microtomography |
author |
Tseng, Chien Ling |
author_facet |
Tseng, Chien Ling Alves, Marlene Cristina [UNESP] Crestana, Silvio |
author_role |
author |
author2 |
Alves, Marlene Cristina [UNESP] Crestana, Silvio |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Tseng, Chien Ling Alves, Marlene Cristina [UNESP] Crestana, Silvio |
dc.subject.por.fl_str_mv |
3D simulation Degree of anisotropy Euler-Poincaré number Microtomography S index Shannon entropy |
topic |
3D simulation Degree of anisotropy Euler-Poincaré number Microtomography S index Shannon entropy |
description |
One of the current challenges in the study of recovering soil architecture is physically evaluating the internal soil structure in unconventional ways. The elaboration of consistent methods and physical parameters has become necessary for soil structural analysis. The aim of this study is to analyze the soil structures of two groups of recovering tropical soils and to simulate three-dimensional water movement pathways using unconventional methods and physical soil parameters. The following results were obtained from the analysis: 1) the S index was used as an indicator to effectively quantify the degree of management; 2) Qualisolo software was used to obtain the soil water retention curve (SWRC) of each management type; 3) the degree of anisotropy of the solid structure reflected the soil network; 4) the Euler-Poincaré number reflected the connectivity of the soil pores for each management type; 5) the Shannon entropy indicated the degree of randomness of the soil; and 6) the results of the Arya and Paris model and the simulations of water movement pathways are similar. In conclusion, the obtained results reflect the internal soil structures and their corresponding characteristics. Thus, the results can be used to predict the influence of soil architecture on the movement of water in the soil. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:35:24Z 2018-12-11T17:35:24Z 2018-05-15 |
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://dx.doi.org/10.1016/j.geoderma.2017.11.042 Geoderma, v. 318, p. 78-87. 0016-7061 http://hdl.handle.net/11449/179494 10.1016/j.geoderma.2017.11.042 2-s2.0-85040086300 2-s2.0-85040086300.pdf |
url |
http://dx.doi.org/10.1016/j.geoderma.2017.11.042 http://hdl.handle.net/11449/179494 |
identifier_str_mv |
Geoderma, v. 318, p. 78-87. 0016-7061 10.1016/j.geoderma.2017.11.042 2-s2.0-85040086300 2-s2.0-85040086300.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Geoderma 1,717 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
78-87 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129580702105600 |