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现代地质 ›› 2019, Vol. 33 ›› Issue (04): 783-793.DOI: 10.19657/j.geoscience.1000-8527.2019.04.09

• 地球化学 • 上一篇    下一篇

洞庭湖平原土壤铅活动性影响因素研究

戴高乐1(), 侯青叶1(), 杨忠芳1, 姜华2, 袁嘉欣1, 唐志敏3   

  1. 1.中国地质大学(北京) 地球科学与资源学院,北京 100083
    2.中国地质调查局 武汉地质调查中心,湖北 武汉 430200
    3.中国地质调查局 南京地质调查中心,江苏 南京 210016
  • 收稿日期:2018-10-15 修回日期:2018-11-17 出版日期:2019-08-20 发布日期:2019-09-05
  • 通讯作者: 侯青叶
  • 作者简介:侯青叶,女,1978年出生,副教授,地球化学专业,主要从事环境地球化学和生态地球化学研究。Email: qingyehou@cugb.edu.cn
    戴高乐,男,1994年出生,硕士研究生,地球化学专业,主要从事环境地球化学研究。Email: 1149678463@qq.com
  • 基金资助:
    中国地质调查局地质调查项目(DD20160323);国家自然科学基金项目(41773019)

Factors Affecting Mobility of Lead in the Soils of the Dongting Lake Plain, China

DAI Gaole1(), HOU Qingye1(), YANG Zhongfang1, JIANG Hua2, YUAN Jiaxin1, TANG Zhimin3   

  1. 1. School of Earth Sciences and Resources,China University of Geosciences,Beijing 100083,China
    2. Wuhan Geological Survey Center,China Geological Survey,Wuhan,Hubei 430200,China
    3. Nanjing Geological Survey Center,China Geological Survey,Nanjing,Jiangsu 210016,China
  • Received:2018-10-15 Revised:2018-11-17 Online:2019-08-20 Published:2019-09-05
  • Contact: HOU Qingye

摘要:

为了系统地探讨洞庭湖平原土壤铅(Pb)活动性特征及其影响因素,本次研究在常德市、益阳市、株洲市共采集了110件水稻根系土样品,讨论了土壤Pb活动态含量和活动系数与有机质、pH值、阳离子交换量(CEC)等土壤理化性质的相关性,并据此建立了Pb活动态含量和活动系数的预测模型。研究结果表明:土壤Pb含量、pH值、有机质含量、CEC和风化程度都是影响Pb活动态含量及活动系数的主要因素。pH值、CEC和有机质含量都会影响土壤缓冲能力,进而影响Pb的活动性。土壤Cd含量和Zn/Pb值也与Pb活动态含量有显著相关性;在不同的浓度梯度内,Cd与Pb的交互作用不同;土壤具有较高的Zn/Pb 值时,Pb活动态含量较低。采用逐步回归法建立了土壤Pb活动态含量以及活动系数的预测模型,土壤Pb活动态含量用土壤pH、Pb含量、CEC和Na2O/K2O值进行预测,活动态系数用pH、CEC、SiO2/Al2O3值进行预测,预测效果均较好。

关键词: 洞庭湖平原, 土壤, Pb, 活动性, 影响因素

Abstract:

In order to systematically explore the mobility characteristics of Pb in the soils of the Dongting lake plain and its influence factors, 110 soil samples had been collected in Changde, Yiyang and Zhuzhou city. This study discussed the relationships between mobility of Pb and organic matter, pH, cation exchange capacity (CEC) and other parameters in soils. Based on their correlations, we established prediction models for the mobility of Pb. The results showed that Pb content, pH, organic matter content, CEC and weathering degree were the main factors affecting the mobile fraction and coefficient of Pb. They affected the mobility of Pb by changing the buffer capacity of the soil. Soil Cd content and Zn/Pb ratio were also significantly correlated with the mobile fraction of Pb. The interactions between Cd and Pb were different in different concentration gradients. The mobile fraction of Pb was lower when the soil had a higher Zn/Pb ratio. The multivariate stepwise regression analysis was adopted to establish prediction models for mobile fraction and mobility coefficient of Pb. The presented models had achieved good predicting effectiveness,when mobile fraction of Pb in soils was predicted by soil pH, Pb content, CEC and Na2O/K2O ratio and mobility coefficient of Pb was predicted by pH, CEC, SiO2/Al2O3 ratio.

Key words: Dongting lake plain, soil, Pb, mobility, influence factors

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