title: Assessment of potential location of high arsenic contamination using fuzzy overlay and spatial anisotropy approach in iron mine surrounding area.
abstract: Fuzzy overlay approach on three raster maps including land slope, soil type, and distance to stream can be used to identify the most potential locations of high arsenic contamination in soils. Verification of high arsenic contamination was made by collection samples and analysis of arsenic content and interpolation surface by spatial anisotropic method. A total of 51 soil samples were collected at the potential contaminated location clarified by fuzzy overlay approach. At each location, soil samples were taken at the depth of 0.00-1.00 m from the surface ground level. Interpolation surface of the analysed arsenic content using spatial anisotropic would verify the potential arsenic contamination location obtained from fuzzy overlay outputs. Both outputs of the spatial surface anisotropic and the fuzzy overlay mapping were significantly spatially conformed. Three contaminated areas with arsenic concentrations of 7.19 ± 2.86, 6.60 ± 3.04, and 4.90 ± 2.67 mg/kg exceeded the arsenic content of 3.9 mg/kg, the maximum concentration level (MCL) for agricultural soils as designated by Office of National Environment Board of Thailand. It is concluded that fuzzy overlay mapping could be employed for identification of potential contamination area with the verification by surface anisotropic approach including intensive sampling and analysis of the substances of interest.
authors.affiliation: Department of Environmental Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.
authors.forename: Thanes
authors.identifier: 0000-0002-8433-0669
authors.initials: T
authors.lastname: Weerasiri
authors.affiliation: Department of Environmental Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand ; Centre of Excellence on Hazardous Substance Management, Bangkok 10330, Thailand ; Research Center for Environmental and Hazardous Substance Management, Khon Kaen University, Khon Kaen 40002, Thailand.
authors.forename: Wanpen
authors.initials: W
authors.lastname: Wirojanagud
authors.affiliation: Department of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
authors.forename: Thares
authors.initials: T
authors.lastname: Srisatit
mesh_terms: D001151:Arsenic / Q000032:analysis*; D004784:Environmental Monitoring; D004787:Environmental Pollution; D007501:Iron / Q000032:analysis*; D008906:Mining; D008962:Models, Theoretical; D013785:Thailand
chemical_list: D007501:Iron; D001151:Arsenic
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references.pmid: 12738852
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