干旱区生态环境知识资源中心(Arid): A Comparative GIS tree-pollution analysis between arsenic, chromium, mercury, and uranium contents in soils of urban and industrial regions in Qatar

Arid

DOI	10.1007/s41207-019-0099-8
	A Comparative GIS tree-pollution analysis between arsenic, chromium, mercury, and uranium contents in soils of urban and industrial regions in Qatar
	Kheir, Rania Bou; Greve, Mogens; Greve, Mette; Peng, Yi; Shomar, Basem
通讯作者	Shomar, B
来源期刊	EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION
ISSN	2365-6433
EISSN	2365-7448
出版年	2019
卷号	4 期号:1
英文摘要	This study compared the applicability of several geographic information systems (GIS) regression tree-based models (n = 136) to precisely define the most influencing environmental predictor parameters on arid soils. The study focused on the accumulation of arsenic, chromium, mercury, and uranium in the arid soils of Qatar using GIS tools. The rates of the built reference trees (based on environmental parameters) vary among chosen toxic metals as follows: Hg (80%), U (77%), As (72%), and Cr (70%); and this affects considerably the developed correlations (reflected as relative importance in %) between these toxic metals and the chosen environmental parameters. These parameters influence differently the investigated As/Cr/Hg/U, with higher quantitative impact (importance varying according to the metal into question) of anthropogenic parameters (distance to environmental hotspots 85-90%, land cover/use 78-82%, and proximity to roads 62-82%) than for the geopedological (soil type 30-76%, parent material 17-60%, and distance to geological structures 12-42%) and hydromorphological (elevation 7-53%, slope gradient 10-41%, distance to drainage line 15-30%, slope gradient 0-5%, and slope aspect 0-3%) parameters. The results can be used to prioritize the choice of remediation measures, and can be applied to other arid areas sharing analogous environmental/socio-economic conditions and pollution causes.
英文关键词	Soil pollution Toxic heavy metals GIS regression trees Pollution quantitative correlations Arid environments Urban and industrial areas
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000460790000002
WOS关键词	SPATIAL-DISTRIBUTION ; HEAVY-METALS ; GEOSTATISTICAL ANALYSES ; MULTIVARIATE-ANALYSIS ; AGRICULTURAL SOILS ; HONG-KONG ; CLASSIFICATION ; CITY ; CONTAMINATION ; SUBURBAN
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333429
作者单位	[Kheir, Rania Bou; Greve, Mogens; Greve, Mette; Peng, Yi] Aarhus Univ, Dept Agroecol DJF, Fac Sci & Technol, Blichers Alle 20,POB 50, DK-8830 Tjele, Denmark; [Shomar, Basem] QEERI, POB 5825, Doha, Qatar
推荐引用方式 GB/T 7714	Kheir, Rania Bou,Greve, Mogens,Greve, Mette,et al. A Comparative GIS tree-pollution analysis between arsenic, chromium, mercury, and uranium contents in soils of urban and industrial regions in Qatar[J],2019,4(1).
APA	Kheir, Rania Bou,Greve, Mogens,Greve, Mette,Peng, Yi,&Shomar, Basem.(2019).A Comparative GIS tree-pollution analysis between arsenic, chromium, mercury, and uranium contents in soils of urban and industrial regions in Qatar.EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION,4(1).
MLA	Kheir, Rania Bou,et al."A Comparative GIS tree-pollution analysis between arsenic, chromium, mercury, and uranium contents in soils of urban and industrial regions in Qatar".EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION 4.1(2019).