Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms

Detalhes bibliográficos
Autor(a) principal: Fernandes, Joana
Data de Publicação: 2017
Outros Autores: Bateira, Carlos, Costa, António, Moura, R., Fonseca, Bruno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/109387
Resumo: The construction of earthen embankment terraces in the Douro Region raises a set of problems related to hydrological processes. The main objective of this study is the evaluation of the spatial variation of electrical resistivity in agriculture terraces at Douro valley (Portugal). To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D) depending on the soil depth.
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spelling Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithmsGeografiaGeographyThe construction of earthen embankment terraces in the Douro Region raises a set of problems related to hydrological processes. The main objective of this study is the evaluation of the spatial variation of electrical resistivity in agriculture terraces at Douro valley (Portugal). To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D) depending on the soil depth.20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/109387eng10.1515/opag-2017-0037Fernandes, JoanaBateira, CarlosCosta, AntónioMoura, R.Fonseca, Brunoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:02:52Zoai:repositorio-aberto.up.pt:10216/109387Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:32:32.013189Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
title Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
spellingShingle Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
Fernandes, Joana
Geografia
Geography
title_short Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
title_full Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
title_fullStr Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
title_full_unstemmed Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
title_sort Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms
author Fernandes, Joana
author_facet Fernandes, Joana
Bateira, Carlos
Costa, António
Moura, R.
Fonseca, Bruno
author_role author
author2 Bateira, Carlos
Costa, António
Moura, R.
Fonseca, Bruno
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fernandes, Joana
Bateira, Carlos
Costa, António
Moura, R.
Fonseca, Bruno
dc.subject.por.fl_str_mv Geografia
Geography
topic Geografia
Geography
description The construction of earthen embankment terraces in the Douro Region raises a set of problems related to hydrological processes. The main objective of this study is the evaluation of the spatial variation of electrical resistivity in agriculture terraces at Douro valley (Portugal). To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D) depending on the soil depth.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/109387
url https://hdl.handle.net/10216/109387
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1515/opag-2017-0037
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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