干旱区生态环境知识资源中心(Arid): Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models

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DOI	10.1590/1807-1929/agriambi.v23n6p460-466
	Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models
	Goydaragh, Maryam Ghebleh 1; Jafarzadeh, Ali Asghar 1; Shahbazi, Farzin 1; Oustan, Shahin 1; Taghizadeh-Mehrjardi, Ruhollah 2,3; Lado, Marcos 4
通讯作者	Lado, Marcos
来源期刊	REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL
ISSN	1415-4366
EISSN	1807-1929
出版年	2019
卷号	23 期号:6 页码:460-466
英文摘要	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 R-2 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.
英文关键词	FTIR spectra random forest weathering
类型	Article
语种	英语
国家	Iran ; Germany ; Spain
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000473334400011
WOS关键词	WEATHERING INDEXES ; REFLECTANCE
WOS类目	Agricultural Engineering
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218487
作者单位	1.Univ Tabriz, Fac Agr, Dept Soil Sci, Tabriz, Iran; 2.Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, Tubingen, Germany; 3.Ardakan Univ, Fac Agr & Nat Resources, Yazd, Iran; 4.Univ A Coruna, Fac Sci, Ctr Invest Cient Avanzadas, Coruna, Spain
推荐引用方式 GB/T 7714	Goydaragh, Maryam Ghebleh,Jafarzadeh, Ali Asghar,Shahbazi, Farzin,et al. Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models[J],2019,23(6):460-466.
APA	Goydaragh, Maryam Ghebleh,Jafarzadeh, Ali Asghar,Shahbazi, Farzin,Oustan, Shahin,Taghizadeh-Mehrjardi, Ruhollah,&Lado, Marcos.(2019).Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models.REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL,23(6),460-466.
MLA	Goydaragh, Maryam Ghebleh,et al."Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models".REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL 23.6(2019):460-466.