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Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study
Liao Xiaoyong1; Tao Huan1,2,3; Gong Xuegang1,3; Li You1,3
2019-10-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume29Issue:10Pages:1610-1624
Corresponding AuthorLiao Xiaoyong(liaoxy@igsnrr.ac.cn)
AbstractA 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.
Keywordself-organizing map geo-information heavy metal soil environmental quality Hechi
DOI10.1007/s11442-019-1644-8
WOS KeywordARTIFICIAL NEURAL-NETWORK ; HEAVY-METALS ; AGRICULTURAL SOILS ; QUALITY ; POLLUTION ; SEDIMENT ; MODEL ; CLASSIFICATION ; PREDICTION ; SUPPORT
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of the Chinese Academy of Sciences[XDA19040302] ; Key Research Program of the Chinese Academy of Sciences[KFZD-SW-111]
Funding OrganizationStrategic Priority Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000484522800002
PublisherSCIENCE PRESS
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69606
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiao Xiaoyong
Affiliation1.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
Recommended Citation
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.
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