Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging
Author:
Publisher
Elsevier BV
Subject
Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine
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1. Spatial distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach;Science of The Total Environment;2024-02
2. Biogeochemical behavior, health risk assessment and source identification of antimony and arsenic in soil from a legacy antimony smelter in Gansu, Northwest China;Environmental Sciences Europe;2023-12-19
3. A novel directional-oriented method for predicting shear wave velocity through empirical rock physics relationship using geostatistics analysis;Scientific Reports;2023-11-14
4. A Spatial Interpolation Method Based on BP Neural Network with Bellman Equation;PRICAI 2023: Trends in Artificial Intelligence;2023-11-10
5. Biogeochemical behavior, health risk assessment and source identification of antimony and arsenic in soil from a legacy antimony smelter in Gansu, Northwest China;2023-09-22
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