Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600460 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v23n6p460-466 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
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 |
_version_ |
1750297686870851584 |