Method and device for estimating heavy metal content in soil

Abstract

The invention provides a method and device for estimating the heavy metal content in soil. The estimation method comprises the steps that influence factor values of the heavy metal content in soil areintroduced, and the correlation among the influence factors is not specifically defined; the residual value at a location to be measured is used to optimize an estimated value acquired by a trained random forest model; and finally, the target estimated value of the heavy metal content in soil at the location to be measured is acquired. According to the method for estimating the heavy metal content in soil, considering the distribution and abnormal value of the heavy metal content in soil and multiple correlations among introduced influence factors is not needed; the overfitting phenomenon ofthe random forest model is avoided; the estimation accuracy of the heavy metal content in soil is effectively improved; and the method lays the foundation for agricultural producing area safety levelboundary identification, soil pollution risk assessment, soil remediation and the like, and has important theoretical and practical significances and popularization and application values.

Description

technical field [0001] The invention relates to the field of environmental pollution assessment, and more specifically, to a method and device for estimating soil heavy metal content. Background technique [0002] The problem of heavy metal pollution in the production areas of agricultural products in my country has become increasingly prominent, and the enrichment of heavy metals in soil has seriously threatened the safety of ecosystems and human beings. Using high-precision interpolation methods to calculate soil heavy metal content is one of the important basic tasks for comprehensively and accurately understanding the spatial distribution of soil heavy metals and ensuring the quality and safety of agricultural products. [0003] The spatial interpolation research of soil heavy metal content is mainly realized through statistical analysis and modeling of sampling data. Currently, commonly used analysis and modeling methods are divided into two categories: non-geostatistic...

AI Technical Summary

Problems solved by technology

However, the co-kriging method requires a high correlation between the co-factors and the co-factors require a greater sampling density. This condition is very harsh. When this condition is not met, the content of heavy metals in the soil cannot be accurately determined.

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