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Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
Published on: September 1, 2020
Predicting Soluble Nickel in Soils Using Soil Properties and Total Nickel
Xiaoqing Zhang1, Jumei Li2, Dongpu Wei2
1School of Forestry and Horticulture, Hubei University for Nationalities, 39 Xueyuan Road, Enshi, Hubei Province, 445000, China.
Soil pH and total nickel (Ni) content significantly predict soluble Ni. Categorizing soils by pH improved prediction accuracy, showing models can estimate soil Ni concentrations.
Area of Science:
- Environmental Chemistry
- Soil Science
- Geochemistry
Background:
- Soil soluble nickel (Ni) concentration is crucial for assessing Ni toxicity.
- Understanding the factors influencing soluble Ni is vital for environmental risk assessment.
Purpose of the Study:
- To investigate the relationships between soil properties and soluble Ni concentrations.
- To develop predictive models for soil soluble Ni using soil characteristics.
Main Methods:
- Multiple regression analysis was used to identify key soil parameters.
- Soils were categorized by pH (<7, 7-8, >8) for refined predictions.
- Mechanistic speciation models (WHAM VI, Visual MINTEQ3.0) were applied.
Main Results:
- Soil pH and total Ni concentration were the most significant predictors of soluble Ni.
- Categorizing soils by pH enhanced prediction accuracy (Radj2 values up to 0.94).
- Amorphous Fe/Al oxides and clay content also influenced soluble Ni concentrations.
Conclusions:
- Soil properties, particularly pH and total Ni, are effective in predicting soluble Ni concentrations.
- Mechanistic speciation models show applicability for estimating soil soluble Ni, with varying performance across pH ranges.
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