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3D spatial interpolation of soil heavy metals by combining kriging with depth function trend model
1College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, China; Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, China.
Journal of Hazardous Materials
|October 1, 2023
Summary
A new hybrid 3D spatial interpolation method (3DK_DF) improves soil heavy metal prediction accuracy. This approach enhances soil pollution assessment in mining areas.
Area of Science:
- Environmental Science
- Geosciences
- Soil Science
Background:
- Soil heavy metal contamination poses significant environmental and health risks.
- Accurate 3D spatial interpolation is crucial for effective soil pollution assessment.
- Existing methods may lack accuracy in heterogeneous soil environments.
Purpose of the Study:
- To propose and validate a novel hybrid method, 3D kriging and depth function considering heterogeneity (3DK_DF), for enhanced 3D spatial interpolation of soil heavy metals.
- To improve the accuracy and reliability of soil heavy metal distribution mapping.
- To provide a robust tool for assessing soil heavy metal pollution in complex environments.
Main Methods:
- Developed a hybrid 3D interpolation method (3DK_DF) combining 3D kriging with a depth function that accounts for heterogeneity.
- Fitted logarithmic depth function parameters to observed soil cadmium (Cd) data at various depths.
- Generated a 3D trend of soil Cd based on parameter distributions and used 3D kriging for residual interpolation.
Main Results:
- The 3DK_DF method demonstrated significant improvements in interpolation accuracy.
- Accuracy increased by 29.71% compared to 3D kriging without trend analysis.
- Accuracy improved by 48.9% compared to 3D kriging with a polynomial trend model.
Conclusions:
- The proposed 3DK_DF hybrid method offers superior accuracy and reliability for 3D spatial interpolation of soil heavy metals.
- This method is highly significant for comprehensive soil heavy metal pollution assessment, especially in heterogeneous mining areas.
- The approach provides a valuable tool for environmental monitoring and remediation strategies.
