Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study

doi:10.1007/s11442-019-1644-8

	Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study
	Liao Xiaoyong 1; Tao Huan 1,2,3; Gong Xuegang 1,3; Li You 1,3
刊名	JOURNAL OF GEOGRAPHICAL SCIENCES
	2019-10-01
卷号	29 期号:10 页码:1610-1624
关键词	self-organizing map geo-information heavy metal soil environmental quality Hechi
ISSN号	1009-637X
DOI	10.1007/s11442-019-1644-8
通讯作者	Liao Xiaoyong(liaoxy@igsnrr.ac.cn)
英文摘要	A model integrating geo-information and self-organizing map (SOM) for exploring the database of soil environmental surveys was established. The dataset of 5 heavy metals (As, Cd, Cr, Hg, and Pb) was built by the regular grid sampling in Hechi, Guangxi Zhuang Autonomous Region in southern China. Auxiliary datasets were collected throughout the study area to help interpret the potential causes of pollution. The main findings are as follows: (1) Soil samples of 5 elements exhibited strong variation and high skewness. High pollution risk existed in the case study area, especially Hg and Cd. (2) As and Pb had a similar topo-logical distribution pattern, meaning they behaved similarly in the soil environment. Cr had behaviours in soil different from those of the other 4 elements. (3) From the U-matrix of SOM networks, 3 levels of SEQ were identified, and 11 high risk areas of soil heavy metal-contaminated were found throughout the study area, which were basically near rivers, factories, and ore zones. (4) The variations of contamination index (CI) followed the trend of construction land (1.353) > forestland (1.267) > cropland (1.175) > grassland (1.056), which suggest that decision makers should focus more on the problem of soil pollution surrounding industrial and mining enterprises and farmland.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040302] ; Key Research Program of the Chinese Academy of Sciences[KFZD-SW-111]
WOS关键词	ARTIFICIAL NEURAL-NETWORK ; HEAVY-METALS ; AGRICULTURAL SOILS ; QUALITY ; POLLUTION ; SEDIMENT ; MODEL ; CLASSIFICATION ; PREDICTION ; SUPPORT
WOS研究方向	Physical Geography
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000484522800002
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/69605]
专题	中国科学院地理科学与资源研究所
通讯作者	Liao Xiaoyong
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liao Xiaoyong,Tao Huan,Gong Xuegang,et al. Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2019,29(10):1610-1624.
APA	Liao Xiaoyong,Tao Huan,Gong Xuegang,&Li You.(2019).Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study.JOURNAL OF GEOGRAPHICAL SCIENCES,29(10),1610-1624.
MLA	Liao Xiaoyong,et al."Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study".JOURNAL OF GEOGRAPHICAL SCIENCES 29.10(2019):1610-1624.