天津蔬菜主产区土壤中镉的有效性及关键调控因子研究

doi:10.11720/wtyht.2020.1362

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Abstract

Soil and crop samples were collected simultaneously from the main vegetable production areas of Tianjin. The concentration of available Cd, influence factors and key regulation factor were studied by correlation analysis and principal component analysis. The results show that the content of Cd in soil samples ranges from 0.21×10^-6 to 1.03×10^-6, with an average of 0.47×10^-6, and the proportion exceeding the risk screening value (GB15618-2018) is 28%.The content of available Cd ranges from 0.05×10^-6 to 0.48×10^-6, with an average of 0.14×10^-6. The Cd content in crop samples is lower than 0.05×10^-6, which meet the food safety requirements (GB2762-2017). The content of Cd in crops is positively correlated with Cd and available Cd in soil (p<0.01). Available Cd content is negatively correlated with pH, CEC and clay content (p<0.01), positively correlated with available P content (p<0.01), but not with organic matter and Eh. Combined with principal component analysis and linear regression analysis, it can be inferred that Cd content is the dominant factor of available Cd in soil.

Key words： Tianjin vegetable field available Cd influence factor

Received: 15 July 2019 Published: 28 August 2020

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Corresponding Authors: Yao-Dong YANG E-mail: Chinav2012@163.com;fivess@139.com

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	Wei XIE
	Yao-Dong YANG
	Jia-Yu HOU
	Gui-Qin JIAN
	Guo-Cheng LI
	Xin-Hua ZHAO

Cite this article:

Wei XIE,Yao-Dong YANG,Jia-Yu HOU, et al. Availability and key regulator of cadmium in soil of main vegetable production areas in Tianjin[J]. Geophysical and Geochemical Exploration, 2020, 44(4): 855-862.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.1362 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I4/855

Sampling position in the study area

Statistical values of cadmium in different vegetables

The correlation between Cd content in crops and Cd content,available Cd content in soil

The correlation between Cd and available Cd in soil

The correlation between available Cd and physical and chemical indexes in soil

Eigenvalues and proportion of principal component analysis

Component Matrix with maximum variance rotation method

Loading plots of various indicators in F₁ and F₂

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