title: Spatial extraction model for soil environmental quality of anomalous areas in a geographic scale.
abstract: An approach to establish a soil environmental assessment model was proposed to evaluate the soil environmental quality level. The kriging technique and a self-organizing map (SOM) were integrated to investigate the soil environmental quality in a geographic information system (GIS). In this study, SOM was applied to categorize the data set of nine heavy metals in topsoil. A total of 261 topsoil samples were collected to determine the concentrations of Cu, Pb, Zn, Cd, Ni, Cr, Hg, As, and Mn. The samples were clustered into three classes by SOM and visualized by GIS. The results show that different environmental quality categories are significantly different and that the soil environmental quality assessment model is effective.
authors.forename: Chunlin
authors.initials: C
authors.lastname: Yang
authors.forename: Ruiping
authors.initials: R
authors.lastname: Guo
authors.forename: Zhifeng
authors.initials: Z
authors.lastname: Wu
authors.forename: Kai
authors.initials: K
authors.lastname: Zhou
authors.forename: Qingling
authors.initials: Q
authors.lastname: Yue
mesh_terms: D001151:Arsenic / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D019216:Metals, Heavy / Q000032:analysis*; D008962:Models, Theoretical; D012989:Soil Pollutants / Q000032:analysis*
chemical_list: D019216:Metals, Heavy; D012989:Soil Pollutants; D001151:Arsenic