Simulation of spatial distribution of trichloromethane in a soil plot based on GIS technology

Bing Jiang Sr.; Jie Zhang

doi:10.1117/12.2660699

22 November 2022 Simulation of spatial distribution of trichloromethane in a soil plot based on GIS technology

Bing Jiang Sr., Jie Zhang

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124750Z (2022) https://doi.org/10.1117/12.2660699
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

Taking a chemical relocation plot in Shandong Province as an example, the investigation of trichloromethane concentration in soil was carried out by the systematic zonal distribution method, and the interpolation simulation of trichloromethane concentration in soil was carried out by the radial base model, IDW model and Tyson polygon model interpolation method respectively through statistical analysis of the survey sampling and detection results, comparing the simulation prediction accuracy of each interpolation model and different parameters, and the spatial distribution of trichloromethane concentration obtained by different calculation methods. The spatial distribution characteristics of contaminated soil volume and trichloromethane concentration obtained by different calculation methods were compared, and on this basis, the optimal model was selected for the spatial distribution simulation study of trichloromethane. The results showed that: the concentration of trichloromethane in soil was correlated with the depth of soil layer, and the concentration decreased gradually with increasing depth, the highest value of detected concentration was 5.96 mg/kg, and the average concentrations of trichloromethane in soil layer from top to bottom at three depths were 5.96, 1.67 and 1.18 mg/kg, respectively; there was a certain spatial correlation of trichloromethane concentration in soil, and by comparing the IDW (inverse distance weight) model can better simulate the spatial distribution characteristics of trichloromethane.

Citation Download Citation

Bing Jiang Sr. and Jie Zhang "Simulation of spatial distribution of trichloromethane in a soil plot based on GIS technology", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124750Z (22 November 2022); https://doi.org/10.1117/12.2660699

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KEYWORDS

Soil contamination

Contamination

Statistical modeling

Data modeling

Soil science

Statistical analysis

Computer simulations

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