Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models

Detalhes bibliográficos
Autor(a) principal: Goydaragh,Maryam Ghebleh
Data de Publicação: 2019
Outros Autores: Jafarzadeh,Ali Asghar, Shahbazi,Farzin, Oustan,Shahin, Taghizadeh-Mehrjardi,Ruhollah, Lado,Marcos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600460
Resumo: ABSTRACT Characterizing the elemental composition provides useful information about the weathering degree of soils. In Miandoab County, Northern Iran, this characterization was missing, and thus the objectives of this work were to evaluate the weathering degrees for the most typical soils in the area from their elemental compositions, and to estimate this elemental composition using Fourier transform infrared spectroscopy and Random Forest models. Five soil profiles, including Aridisols and Inceptisols, were selected as the most representative of the area. Major elemental oxides were determined in each genetic horizon by X-ray fluorescence, showing that these soils were at early developmental stages. Only Al2O3 and CaO were accurately estimated, with R2 values of 0.8, and out-of-bag mean square errors of 0.2 and 1.1, respectively. The other oxides were not predicted satisfactorily, probably due to small differences in their elemental compositions. Random Forest provided the important spectral bands related to the content of each element. For Al2O3, these bands were between 500 and 650 cm-1, which represent out-of-plane OH bending vibrations and Al-O gibbsite and alumino-silicate vibrations. For CaO, the most important bands are related to carbonate content. A combination of Fourier transform infrared spectra and Random Forest models can be used as a rapid and low-cost technique to estimate the elemental composition of arid and semi-arid soils of Northern Iran.
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spelling Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral modelsFTIR spectrarandom forestweatheringABSTRACT Characterizing the elemental composition provides useful information about the weathering degree of soils. In Miandoab County, Northern Iran, this characterization was missing, and thus the objectives of this work were to evaluate the weathering degrees for the most typical soils in the area from their elemental compositions, and to estimate this elemental composition using Fourier transform infrared spectroscopy and Random Forest models. Five soil profiles, including Aridisols and Inceptisols, were selected as the most representative of the area. Major elemental oxides were determined in each genetic horizon by X-ray fluorescence, showing that these soils were at early developmental stages. Only Al2O3 and CaO were accurately estimated, with R2 values of 0.8, and out-of-bag mean square errors of 0.2 and 1.1, respectively. The other oxides were not predicted satisfactorily, probably due to small differences in their elemental compositions. Random Forest provided the important spectral bands related to the content of each element. For Al2O3, these bands were between 500 and 650 cm-1, which represent out-of-plane OH bending vibrations and Al-O gibbsite and alumino-silicate vibrations. For CaO, the most important bands are related to carbonate content. A combination of Fourier transform infrared spectra and Random Forest models can be used as a rapid and low-cost technique to estimate the elemental composition of arid and semi-arid soils of Northern Iran.Departamento de Engenharia Agrícola - UFCG2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600460Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.6 2019reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v23n6p460-466info:eu-repo/semantics/openAccessGoydaragh,Maryam GheblehJafarzadeh,Ali AsgharShahbazi,FarzinOustan,ShahinTaghizadeh-Mehrjardi,RuhollahLado,Marcoseng2019-06-27T00:00:00Zoai:scielo:S1415-43662019000600460Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2019-06-27T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
title Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
spellingShingle Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
Goydaragh,Maryam Ghebleh
FTIR spectra
random forest
weathering
title_short Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
title_full Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
title_fullStr Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
title_full_unstemmed Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
title_sort Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
author Goydaragh,Maryam Ghebleh
author_facet Goydaragh,Maryam Ghebleh
Jafarzadeh,Ali Asghar
Shahbazi,Farzin
Oustan,Shahin
Taghizadeh-Mehrjardi,Ruhollah
Lado,Marcos
author_role author
author2 Jafarzadeh,Ali Asghar
Shahbazi,Farzin
Oustan,Shahin
Taghizadeh-Mehrjardi,Ruhollah
Lado,Marcos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Goydaragh,Maryam Ghebleh
Jafarzadeh,Ali Asghar
Shahbazi,Farzin
Oustan,Shahin
Taghizadeh-Mehrjardi,Ruhollah
Lado,Marcos
dc.subject.por.fl_str_mv FTIR spectra
random forest
weathering
topic FTIR spectra
random forest
weathering
description ABSTRACT Characterizing the elemental composition provides useful information about the weathering degree of soils. In Miandoab County, Northern Iran, this characterization was missing, and thus the objectives of this work were to evaluate the weathering degrees for the most typical soils in the area from their elemental compositions, and to estimate this elemental composition using Fourier transform infrared spectroscopy and Random Forest models. Five soil profiles, including Aridisols and Inceptisols, were selected as the most representative of the area. Major elemental oxides were determined in each genetic horizon by X-ray fluorescence, showing that these soils were at early developmental stages. Only Al2O3 and CaO were accurately estimated, with R2 values of 0.8, and out-of-bag mean square errors of 0.2 and 1.1, respectively. The other oxides were not predicted satisfactorily, probably due to small differences in their elemental compositions. Random Forest provided the important spectral bands related to the content of each element. For Al2O3, these bands were between 500 and 650 cm-1, which represent out-of-plane OH bending vibrations and Al-O gibbsite and alumino-silicate vibrations. For CaO, the most important bands are related to carbonate content. A combination of Fourier transform infrared spectra and Random Forest models can be used as a rapid and low-cost technique to estimate the elemental composition of arid and semi-arid soils of Northern Iran.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600460
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v23n6p460-466
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.6 2019
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
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instname_str Universidade Federal de Campina Grande (UFCG)
instacron_str UFCG
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
repository.mail.fl_str_mv ||agriambi@agriambi.com.br
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