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RSS FeedsIJERPH, Vol. 16, Pages 2503: The Transfer Characteristics of Potentially Toxic Trace Elements in Different Soil-Rice Systems and Their Quantitative Models in Southeastern China (International Journal of Environmental Research and Public Health)

 
 

13 july 2019 12:00:05

 
IJERPH, Vol. 16, Pages 2503: The Transfer Characteristics of Potentially Toxic Trace Elements in Different Soil-Rice Systems and Their Quantitative Models in Southeastern China (International Journal of Environmental Research and Public Health)
 




The potentially toxic trace elements (PTEs) transfer characteristics in the soil-rice system plays an important role in soil quality management, and it can be used to guide the safe rice production. We collected soil and rice samples from three typical rice production areas (Nanxun, Shengzhou, Wenling in northern, central, and southern parts of Zhejiang Province, China). The controlling factors of PTEs′ transfer were studied for Hybrid rice and Japonica rice. The results indicated that the pH, organic matter (OM), and electrical conductivity (EC) values of Shengzhou were all lower than that of the other two production areas (Nanxun and Wenling). The concentrations of PTEs in the soils of Wenling were significantly higher than that in the other two areas, while the concentrations of PTEs in the rice of Shengzhou were significantly higher than that of Wenling and Nanxun (p < 0.05). The enrichment index (EI) of PTEs were also different in the three production areas. The EIs of Cd and Zn were higher than that of Cu and Ni in the three production areas, and the EIs in Shengzhou were significantly higher than that of other two areas (p < 0.05). The soil physico-chemical properties and PTEs’ fractions both played important roles in PTEs transfer in the soil-rice system. The log-linear model of EI for PTEs can predict the availability of PTEs in the soil-rice system under practical production areas. The accuracy of the model prediction of EI for Japonica rice was better than that for the Hybrid rice. The prediction model of Ni was better than that of other PTEs for both rices.


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75 viewsCategory: Medicine, Pathology, Toxicology
 
IJERPH, Vol. 16, Pages 2502: Living Well with Pollution? The Impact of the Concentration of PM2.5 on the Quality of Life of Patients with Asthma (International Journal of Environmental Research and Public Health)
IJERPH, Vol. 16, Pages 2504: Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China`s Sulfur Dioxide Emissions (International Journal of Environmental Research and Public Health)
 
 
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