Distribution Assessment and Source Identification Using Multivariate Statistical Analyses and Artificial Neutral Networks for Trace Elements in Agricultural Soils in Xinzhou of Shanxi Province, China

• DOI: 10.1016/s1002-0160(17)60304-7
• Publication Date: 2017-08-05T16:31:46Z
• Authors: Yuxian SHANGGUAN; Bin CHENG; Long ZHAO; Hong HOU; Jin MA; Zaijin SUN; Yafei XU; Ruifen ZHAO; Yigong ZHANG; Xiaozan HUA; Xiaolan HUO; Xiufeng ZHAO
• Keywords: TRACE (psycholinguistics); Identification; Statistical Analysis

Abstract Multivariate statistical analyses were used to assess the contents and distributions of trace elements in agricultural soils in Xinzhou of Shanxi Province, China, and to identify their sources. Samples with high levels of trace elements were concentrated in eastern Xinzhou, with contents declining from the east to west. Principal component and redundancy analyses revealed strong correlations among Co, Cu, Mn, Ni, Se, V, and Zn contents, suggesting that these elements were derived from similar parent materials. There were also strong correlations between the contents of these elements and soil properties. Contents of Cd and Pb were significantly higher in the agricultural soil samples than in the background soil samples (P