Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/50101 |
Resumo: | Electromagnetic induction (EMI) and electrical resistivity tomography (ERT) are geophysical techniques measuring soil electrical conductivity and providing insights into properties correlated with it to depths of several meters. EMI measures the apparent electrical conductivity (ECa, dS m−1) without physical contact, while ERT acquires apparent electrical resistivity (ERa, ohm m) using electrodes. Both involve mathematical inversion to obtain models of spatial distribution for soil electrical conductivity (σ, mS m−1) and electrical resistivity (ρ, ohm m), respectively, where ρ is the reciprocal of σ. Soil salinity can be assessed from σ over large areas using a calibration process consisting of a regression between σ and the electrical conductivity of the saturated soil paste extract (ECe, dS m−1), used as a proxy for soil salinity. This research aims to compare the prediction abilities of the faster EMI to the more reliable ERT for estimating σ and predicting soil salinity. The study conducted surveys and sampling at four locations with distinct salinity levels in Portugal, analysing the agreement between the techniques, and obtained 2D vertical soil salinity maps. In our case study, the agreement between EMI and ERT models was fairly good in three locations, with σ varying between 50 and 500 mS m−1. However, this was not the case at location 4, where σ exceeded 1000 mS m−1 and EMI significantly underestimated σ when compared to ERT. As for soil salinity prediction, both techniques generally provided satisfactory and comparable regional-level predictions of ECe, and the observed underestimation in EMI models did not significantly affect the overall estimation of soil salinity. Consequently, EMI demonstrated an acceptable level of accuracy in comparison to ERT in our case studies, supporting confidence in utilizing this faster and more practical technique for measuring soil salinity over large areas |
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Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levelsElectromagnetic induction (EMI) and electrical resistivity tomography (ERT) are geophysical techniques measuring soil electrical conductivity and providing insights into properties correlated with it to depths of several meters. EMI measures the apparent electrical conductivity (ECa, dS m−1) without physical contact, while ERT acquires apparent electrical resistivity (ERa, ohm m) using electrodes. Both involve mathematical inversion to obtain models of spatial distribution for soil electrical conductivity (σ, mS m−1) and electrical resistivity (ρ, ohm m), respectively, where ρ is the reciprocal of σ. Soil salinity can be assessed from σ over large areas using a calibration process consisting of a regression between σ and the electrical conductivity of the saturated soil paste extract (ECe, dS m−1), used as a proxy for soil salinity. This research aims to compare the prediction abilities of the faster EMI to the more reliable ERT for estimating σ and predicting soil salinity. The study conducted surveys and sampling at four locations with distinct salinity levels in Portugal, analysing the agreement between the techniques, and obtained 2D vertical soil salinity maps. In our case study, the agreement between EMI and ERT models was fairly good in three locations, with σ varying between 50 and 500 mS m−1. However, this was not the case at location 4, where σ exceeded 1000 mS m−1 and EMI significantly underestimated σ when compared to ERT. As for soil salinity prediction, both techniques generally provided satisfactory and comparable regional-level predictions of ECe, and the observed underestimation in EMI models did not significantly affect the overall estimation of soil salinity. Consequently, EMI demonstrated an acceptable level of accuracy in comparison to ERT in our case studies, supporting confidence in utilizing this faster and more practical technique for measuring soil salinity over large areasRepositório ComumPaz, Maria CatarinaCastanheira, Nádia LuísaPaz, Ana MartaGonçalves, Maria ConceiçãoSantos, Fernando MonteiroFarzamian, Mohammad2024-02-29T12:31:43Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/50101engPaz, M.C., Castanheira, N.L., Paz, A.M., Gonçalves, M.C., Monteiro Santos, F., & Farzamian, M. (2024). Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels. Land, 13, 2952073-445Xhttps://doi.org/10.3390/land13030295info: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:RCAAP2024-03-03T03:15:57Zoai:comum.rcaap.pt:10400.26/50101Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:12:24.400594Repositório 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 |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
title |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
spellingShingle |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels Paz, Maria Catarina |
title_short |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
title_full |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
title_fullStr |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
title_full_unstemmed |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
title_sort |
Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels |
author |
Paz, Maria Catarina |
author_facet |
Paz, Maria Catarina Castanheira, Nádia Luísa Paz, Ana Marta Gonçalves, Maria Conceição Santos, Fernando Monteiro Farzamian, Mohammad |
author_role |
author |
author2 |
Castanheira, Nádia Luísa Paz, Ana Marta Gonçalves, Maria Conceição Santos, Fernando Monteiro Farzamian, Mohammad |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Paz, Maria Catarina Castanheira, Nádia Luísa Paz, Ana Marta Gonçalves, Maria Conceição Santos, Fernando Monteiro Farzamian, Mohammad |
description |
Electromagnetic induction (EMI) and electrical resistivity tomography (ERT) are geophysical techniques measuring soil electrical conductivity and providing insights into properties correlated with it to depths of several meters. EMI measures the apparent electrical conductivity (ECa, dS m−1) without physical contact, while ERT acquires apparent electrical resistivity (ERa, ohm m) using electrodes. Both involve mathematical inversion to obtain models of spatial distribution for soil electrical conductivity (σ, mS m−1) and electrical resistivity (ρ, ohm m), respectively, where ρ is the reciprocal of σ. Soil salinity can be assessed from σ over large areas using a calibration process consisting of a regression between σ and the electrical conductivity of the saturated soil paste extract (ECe, dS m−1), used as a proxy for soil salinity. This research aims to compare the prediction abilities of the faster EMI to the more reliable ERT for estimating σ and predicting soil salinity. The study conducted surveys and sampling at four locations with distinct salinity levels in Portugal, analysing the agreement between the techniques, and obtained 2D vertical soil salinity maps. In our case study, the agreement between EMI and ERT models was fairly good in three locations, with σ varying between 50 and 500 mS m−1. However, this was not the case at location 4, where σ exceeded 1000 mS m−1 and EMI significantly underestimated σ when compared to ERT. As for soil salinity prediction, both techniques generally provided satisfactory and comparable regional-level predictions of ECe, and the observed underestimation in EMI models did not significantly affect the overall estimation of soil salinity. Consequently, EMI demonstrated an acceptable level of accuracy in comparison to ERT in our case studies, supporting confidence in utilizing this faster and more practical technique for measuring soil salinity over large areas |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02-29T12:31:43Z 2024 2024-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/50101 |
url |
http://hdl.handle.net/10400.26/50101 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Paz, M.C., Castanheira, N.L., Paz, A.M., Gonçalves, M.C., Monteiro Santos, F., & Farzamian, M. (2024). Comparison of electromagnetic induction and electrical resistivity tomography in assessing soil salinity: Insights from four plots with distinct soil salinity levels. Land, 13, 295 2073-445X https://doi.org/10.3390/land13030295 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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