exploringthedatabaseofasoilenvironmentalsurveyusingageoselforganizingmapapilotstudy
Li You; Liao Xiaoyong; Tao Huan; Gong Xuegang
刊名journalofgeographicalsciences
2019
卷号29期号:10页码:1610
ISSN号1009-637X
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 topological 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.
语种英语
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/108108]  
专题中国科学院地理科学与资源研究所
作者单位中国科学院地理科学与资源研究所
推荐引用方式
GB/T 7714
Li You,Liao Xiaoyong,Tao Huan,et al. exploringthedatabaseofasoilenvironmentalsurveyusingageoselforganizingmapapilotstudy[J]. journalofgeographicalsciences,2019,29(10):1610.
APA Li You,Liao Xiaoyong,Tao Huan,&Gong Xuegang.(2019).exploringthedatabaseofasoilenvironmentalsurveyusingageoselforganizingmapapilotstudy.journalofgeographicalsciences,29(10),1610.
MLA Li You,et al."exploringthedatabaseofasoilenvironmentalsurveyusingageoselforganizingmapapilotstudy".journalofgeographicalsciences 29.10(2019):1610.
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