基于Geo-SOM方法的土壤环境调查数据库探索性分析（英文）

编号 zgly0001678462

文献类型 期刊论文

文献题名 基于Geo-SOM方法的土壤环境调查数据库探索性分析（英文）

作者 廖晓勇  陶欢  龚雪刚  李尤 

作者单位 InstituteofGeographicSciencesandNaturalResourcesResearch  ChineseAcademyofSciences  BeijingResearchCenterforInformationTechnologyinAgriculture  UniversityofChineseAcademyofSciences 

母体文献 Journal of Geographical Sciences 

年卷期 2019年10期

年份 2019 

分类号 X53 

关键词 self-organizingmap  geo-information  heavymetal  soilenvironmentalquality  Hechi 

文摘内容 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.