Characteristics of heavy metal transfer and their influencing factors in different soil-crop systems of the industrialization region, China

作     者：Chen, Hongyan Yuan, Xuyin Li, Tianyuan Hu, Sun Ji, Junfeng Wang, Cheng 

作者机构：Hohai Univ Coll Environm Minist Educ Key Lab Integrated Regulat & Resources Dev Shallo Nanjing 210098 Jiangsu Peoples R China Nanjing Univ Sch Earth Sci & Engn Nanjing 210093 Jiangsu Peoples R China 

出 版 物：《ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY》 (生态毒物学与环境安全)

年 卷 期：2016年第126卷第Apr.期

页      面：193-201页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 

基　　金：National Natural Science Foundation of China public-benefit project of Ministry of Land and Resource of China Priority Academic Program Development of Jiangsu Higher Education Institutions 

主　　题：Heavy metals Transfer Accumulation Multiple linear regression model Soil-crop system 

摘      要：Soil heavy metals and their bioaccumulation in agricultural products have attracted widespread concerns, yet the transfer and accumulation characteristics of heavy metals in different soil-crop systems was rarely investigated. Soil and crop samples were collected from the typical agricultural areas in the Yangtze River Delta region, China. The concentrations of Cu, Pb, Zn, Cd and Hg in the soils, roots and grains of rice (Oryza Sativa L.), wheat (Triticum L) and canola (Brassica napus L.) were determined in this study. Transfer ability of heavy metals in soil-rice system was stronger than those in soil-wheat and soil-canola systems. The wheat showed a strong capacity to transfer Zn, Cu and Cd from root to the grain while canola presented a restricting effect to the intake of Cu and Cd. Soil pH and total organic matter were major factors influencing metal transfer from soil to rice, whereas soil Al2O3 contents presented a negative effect on heavy metal mobility in wheat and canola cultivation systems. The concentration of Zn and Cd in crop grains could well predicted according to the stepwise multiple linear regression models, which could help to quantitatively evaluate the ecologic risk of heavy metal accumulation in crops in the study area. (C) 2016 Elsevier Inc. All rights reserved.