不同污染源对水稻土及水稻籽粒的重金属污染研究

陈红燕; 袁旭音; 李天元; 胡孙; 刘情

文章摘要

陈红燕,袁旭音,李天元,胡孙,刘情.不同污染源对水稻土及水稻籽粒的重金属污染研究[J].农业环境科学学报,2016,35(4):684-690.

不同污染源对水稻土及水稻籽粒的重金属污染研究

Heavy metal pollution in paddy soil and rice grains fromdifferent pollution sources

投稿时间：2015-10-24

DOI：10.11654/jaes.2016.04.011

中文关键词: 重金属水稻土水稻籽实生物有效性污染源

英文关键词: heavy metal paddy soil rice grain bioavailability pollution source

基金项目:国土资源部公益性项目(201111021);中国地质调查局工作项目(12120114092001)

作者	单位	E-mail
陈红燕	河海大学环境学院, 南京 210098
袁旭音	河海大学环境学院, 南京 210098	yxy_hjy@hhu.edu.cn
李天元	河海大学环境学院, 南京 210098
胡孙	河海大学环境学院, 南京 210098
刘情	河海大学环境学院, 南京 210098

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中文摘要:

为了解不同来源的重金属对土壤的污染程度及其在水稻中的累积特点,利用3种典型的提取剂对四个不同污染源地区水稻土中As、Cd、Cu、Zn的有效态进行提取,分析不同来源重金属的生物有效性差异及其主要影响因素,进而以土壤参数和重金属有效态含量为自变量,建立各地区水稻籽实中重金属含量的最优预测方程。结果表明,工业废水和污水灌溉源地区土壤中As和Cd的有效态含量较高,矿山废渣源地区土壤中Cu、Zn有效态含量较高。水稻籽实中重金属可以用重金属有效态及土壤参数进行预测,籽实Cd含量可以用CaCl₂溶液提取态含量进行有效预测,而籽实As和Cu的含量可以用EDTA提取态含量进行有效预测,但籽实Zn的预测性较差。四个污染源地区中,污水灌溉源和矿山废渣源地区重金属的生物累积预测性较好。

英文摘要:

Heavy metals from different sources may have various pollution degrees in soils and crops. In this study, we estimated bioavailability of As, Cd, Cu, and Zn in paddy soils polluted by different pollution sources using three typical extractants and determined concentrations of heavy metals in rice grains. We also established optimal empirical regression models to predict heavy metals in rice grains. It was showed that HAc and EDTA extracted more heavy metals than CaCl₂ did. The bioavailability of soil heavy metals was closely related with their origins and soil properties. The concentrations of extracted As and Cd were relatively higher in soils polluted with industrial wastewater and sewage irrigation, while those of active Cu and Zn were higher in soils with tailing leaching. Based on the optimal empirical regression models, the concentrations of Cd in rice grains were closely related to CaCl₂-extractable Cd, while As and Cu in rice grains were predicted well by EDTA-extractable As and Cu, respectively. However, the Zn concentrations in rice grains were poorly predicted. In sum, bioaccumulation of heavy metals originated from sewage irrigation and tailing leaching is better predicted than those from other sources.

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