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MA Xudong, YU Tao, YANG Zhongfang, ZHANG Husheng, WU Zhiliang, WANG Jue, LI Minghui, LEI Fenghua. Geochemical characteristics of zinc in soil and prediction of zinc content in maize and rice grains in Linshui County, Sichuan Province[J]. GEOLOGY IN CHINA, 2022, 49(1): 324-335. DOI: 10.12029/gc20220121
Citation: MA Xudong, YU Tao, YANG Zhongfang, ZHANG Husheng, WU Zhiliang, WANG Jue, LI Minghui, LEI Fenghua. Geochemical characteristics of zinc in soil and prediction of zinc content in maize and rice grains in Linshui County, Sichuan Province[J]. GEOLOGY IN CHINA, 2022, 49(1): 324-335. DOI: 10.12029/gc20220121
shu

Geochemical characteristics of zinc in soil and prediction of zinc content in maize and rice grains in Linshui County, Sichuan Province

  • 1.

    School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China

  • 2.

    School of Science, China University of Geosciences, Beijing 100083, China

  • 3.

    Chengdu Center of China Geological Survey, Chengdu 610082, Sichuang, China

Funds: 

the project of China Geological Survey DD20190524

More Information
  • Author Bio:

    MA Xudong, male, born in 1996, master candidate, engaged in the research of environmental geochemistry; E-mail: maxudongcugb@126.com

  • Corresponding author:

    YU Tao, male, born in 1979, associate professor, engaged in in the research of environmental chemistry and ecogeochemistry; E-mail: yutao@cugb.edu.cn

  • Received Date: April 10, 2021
  • Revised Date: May 28, 2021
  • Available Online: September 25, 2023
    Graphical Abstract
    • Abstract

  • This paper is the result of the soil geochemical survey engineering.

    Objective 

    Zinc (Zn) is an essential trace element for human body. Using regional geochemical survey data to accurately predict the Zn content in crops and carry out development planning for Zn-rich agricultural products is still a problem.

    Methods 

    In this paper, we chose Linshui County of Sichuan Province as the study area. Basing on the investigation results obtained from the geochemical survey of land quality, content and spatial distribution characteristics of Zn in the soil and crop were studied and the factors affecting Zn element uptake by maize and rice grain were analyzed.

    Results 

    The Zn content of topsoil in the study area ranged from 25.00-142.00mg/kg with a mean value of 81.93 mg/kg. The higher content of Zn in soil were mainly distributed in exposure of carbonate rocks and Emei Shan basalt in Huaying mountain. The average content of Zn in maize and rice were 17.18 mg/kg and 11.20 mg/kg, respectively. The Zn enrichment rates were 44.0% and 8.2%, respectively. The prediction of the planting areas of Zn rich maize and Zn rich rice in Linshui County reached 235.34 km2 and 30.99 km2 respectively by using back-propagation neural network models.

    Conclusions 

    The main factors affecting the Zn accumulation of maize and rice in the study area were Fe2O3, Mn, pH, SiO2/Al2O3, Cao, organic matter and nutrient element P in soil. The back-propagation neural network models could better simulate the relationship between Zn in crop grains and physicochemical properties of soil, which could be used for region specific calculation of crop Zn content.

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