强空间变异性铀污染土壤的特征分析与空间分布模拟OA

The spatial distribution characteristics of soil radionuclide contamination are of great significance for environmental risk assessment and remediation of soil.This study focuses on a uranium-contaminated site in Inner Mongolia.Based on uranium concentration data from three soil layers at 121 sampling points,pollution assessment was conducted using the geo-accumulation index method,and the spatial variability characteristics of soil uranium content were explored combined with semi-variogram analysis.On this basis,the applicability of three spatial interpolation methods,Inverse Distance Weighting(IDW),Radial Basis Function(RBF),and Universal Kriging(UK),under conditions of strong spatial variability was systematically compared.The results indicated that the soil uranium content in the study area exhibited strong spatial variability,with coefficients of variation all exceeding 190％.The UK method demonstrated the highest interpolation accuracy and the best stability in cross-validation,making it more suitable for spatial prediction of uranium content in soils with strong variability.This research provides technical support for the precise identification and treatment of uranium-contaminated soil with strong variability.