干旱区生态环境知识资源中心(Arid): Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model

Arid

DOI	10.3390/rs13091698
	Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model
	Taghizadeh-Mehrjardi, Ruhollah; Fathizad, Hassan; Ali Hakimzadeh Ardakani, Mohammad; Sodaiezadeh, Hamid; Kerry, Ruth; Heung, Brandon; Scholten, Thomas
通讯作者	Taghizadeh-Mehrjardi, R (corresponding author), Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, D-72070 Tubingen, Germany. ; Taghizadeh-Mehrjardi, R (corresponding author), Univ Tubingen, Sonderforsch Bereich Ressourcen Kulturen Resource, D-72074 Tubingen, Germany. ; Taghizadeh-Mehrjardi, R (corresponding author), Ardakan Univ, Fac Agr & Nat Resources, Ardakan 8951656767, Iran.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:9
英文摘要	Predicting the spatio-temporal distribution of absorbable heavy metals in soil is needed to identify the potential contaminant sources and develop appropriate management plans to control these hazardous pollutants. Therefore, our aim was to develop a model to predict soil adsorbable heavy metals in arid regions of Iran from 1986 to 2016. Soil adsorbable heavy metals were measured in 201 samples from locations selected using the Latin hypercube sampling method in 2016. A random forest (RF) model was used to determine the relationship between a suite of geospatial predictors derived from remote sensing and digital elevation model data with georeferenced measurements of soil absorbable heavy metals. The trained RF model from 2016 was used to reconstruct the spatial distribution of soil absorbable heavy metals at three historical timesteps (1986, 1999, and 2010). Results indicated that the RF model was effective at predicting the distribution of heavy metals with coefficients of determination of 0.53, 0.59, 0.41, 0.45, and 0.60 for Fe, Mn, Ni, Pb, and Zn, respectively. The predicted maps showed high spatio-temporal variability; for example, there were substantial increases in Pb (the 1.5-2 mg/kg(-1) class) where its distribution increased by similar to 25% from 1988 to 2016-similar trends were observed for the other heavy metals. This study provides insights into the spatio-temporal trends and the potential causes of soil heavy metal contamination to facilitate appropriate planning and management strategies to prevent, control, and reduce the impact of heavy metal contamination in soils.
英文关键词	digital soil mapping machine learning soil absorbable heavy metals random forest
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000650748000001
WOS关键词	COMBINED GEOCHEMISTRY ; AGRICULTURAL SOILS ; ORGANIC-CARBON ; MINING AREA ; MULTIVARIATE ; POLLUTION ; INDEX ; CONTAMINATION ; INDUSTRIAL ; SALINITY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351517
作者单位	[Taghizadeh-Mehrjardi, Ruhollah; Scholten, Thomas] Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, D-72070 Tubingen, Germany; [Taghizadeh-Mehrjardi, Ruhollah; Scholten, Thomas] Univ Tubingen, Sonderforsch Bereich Ressourcen Kulturen Resource, D-72074 Tubingen, Germany; [Taghizadeh-Mehrjardi, Ruhollah] Ardakan Univ, Fac Agr & Nat Resources, Ardakan 8951656767, Iran; [Fathizad, Hassan; Ali Hakimzadeh Ardakani, Mohammad; Sodaiezadeh, Hamid] Yazd Univ, Sch Nat Resources & Desert Studies, Dept Arid & Desert Reg Management, Yazd 89195741, Iran; [Kerry, Ruth] Brigham Young Univ, Dept Geog, Provo, UT 84602 USA; [Heung, Brandon] Dalhousie Univ, Dept Plant Food & Environm Sci, Fac Agr, Halifax, NS B3H 4R2, Canada
推荐引用方式 GB/T 7714	Taghizadeh-Mehrjardi, Ruhollah,Fathizad, Hassan,Ali Hakimzadeh Ardakani, Mohammad,et al. Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model[J],2021,13(9).
APA	Taghizadeh-Mehrjardi, Ruhollah.,Fathizad, Hassan.,Ali Hakimzadeh Ardakani, Mohammad.,Sodaiezadeh, Hamid.,Kerry, Ruth.,...&Scholten, Thomas.(2021).Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model.REMOTE SENSING,13(9).
MLA	Taghizadeh-Mehrjardi, Ruhollah,et al."Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model".REMOTE SENSING 13.9(2021).