首页 | 本学科首页   官方微博 | 高级检索  
     

不同类型土壤-小白菜中Hg转移的主控因素和预测模型
引用本文:高艺,郑向群,杨波. 不同类型土壤-小白菜中Hg转移的主控因素和预测模型[J]. 农业环境科学学报, 2018, 37(11): 2532-2540
作者姓名:高艺  郑向群  杨波
作者单位:农业农村部环境保护科研监测所, 天津 300191,农业农村部环境保护科研监测所, 天津 300191,农业农村部环境保护科研监测所, 天津 300191
基金项目:国家重点研发计划项目(2016YFD0800400)
摘    要:为研究Hg的生物有效性、移动性和转移特征对环境和食品安全的重要性,采集全国18种不同理化性质的土壤,利用温室实验,以小白菜为研究对象,通过添加外源Hg,研究Hg从土壤到小白菜的转移特征,探索影响Hg生物有效性的主要影响因子并建立预测模型。结果表明:不同土壤理化性质、不同浓度Hg处理对小白菜生长表现出多样性,或促进(黄棕壤、黑土、垆土、潮土)、或抑制(灰漠土、湖南水稻土)、或没有显著影响(红壤、砖红壤)。采用逐步多元回归分析并建立了预测模型用于测定小白菜地上可食部分的Hg生物富集因子(BCF)和土壤性质如pH、有机质(OM)、阳离子交换量(CEC)、总氮(TN)、总钾(TK)、铁铝氧化物之间的相关性。预测模型表明:pH和OM是影响Hg从土壤转移到小白菜中两个最关键的因素。

关 键 词:小白菜  Hg  土壤类型  控制因素:预测模型
收稿时间:2018-09-06
修稿时间:2018-10-23

Major controlling factors and prediction models of Hg transfer from different soils to Brassica chinensis
GAO Yi,ZHENG Xiang-qun and YANG Bo. Major controlling factors and prediction models of Hg transfer from different soils to Brassica chinensis[J]. Journal of Agro-Environment Science( J. Agro-Environ. Sci.), 2018, 37(11): 2532-2540
Authors:GAO Yi  ZHENG Xiang-qun  YANG Bo
Affiliation:Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China and Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Abstract:The bioavailability, mobility and transfer characteristics of Hg are critical to the environment and food safety. We conducted a greenhouse study, using Brassica chinensis and 18 soils, to investigate the uptake of Hg by plants and to construct a model for predicting the main factors that influence Hg bioavailability.The results showed that the different soil physical and chemical properties and different concentrations of Hg treatment showed diversity in the growth of Brassica chinensis, or promoted (yellow brown soil, black soil, bauxite, fluvoaquic soil), or inhibited (grey desert soil, Hunan paddy soil), or no significant impact (red soil, brick red soil). A stepwise multiple regression analysis was used to establish a predictive model for the determination of the correlation between Hg bioconcentration factor (BCF) and soil properties such as pH, organic matter (OM), cation exchange capacity (CEC), total nitrogen (TN), total potassium (TK)and ironaluminum oxides. The predictive model shows that pH and OM are the two most important factors that affect the transfer of Hg from soil to Brassica chinensis.
Keywords:Brassica chinensis  Hg  soil type  controlling factor  prediction mode
本文献已被 CNKI 等数据库收录!
点击此处可从《农业环境科学学报》浏览原始摘要信息
点击此处可从《农业环境科学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号