Soil heavy metal pollution risk area division method and device, electronic equipment and medium

Abstract

The invention provides a soil heavy metal pollution risk area division method and device, electronic equipment and a medium, and the method comprises the steps: constructing a soil heavy metal pollution risk grade prediction model based on a random forest algorithm through employing a soil heavy metal pollution risk area division sampling point data set, optimal factors are screened according to correlation among important factors and factor importance, an optimal input variable set is generated, the optimal input variable set and an optimal parameter set generated by an optimization prediction model are input into the prediction model together, an optimized prediction model is generated, the risk level of a rule interval point set of a to-be-divided risk area is calculated through the optimized prediction model, and the risk level of the to-be-divided risk area is calculated. And finally, carrying out optimization processing to generate the soil heavy metal pollution multi-level risk areas of the to-be-divided areas according to the risk level data. By applying the method, the device, the electronic equipment and the medium in the embodiment of the invention, the accuracy of the risk zoning boundary is effectively improved, and the problem of strong dependency of a geostatistical spatial interpolation method on the representativeness and the number of sampling points is solved.

Description

technical field [0001] The invention belongs to the technical field of environmental pollution assessment, and in particular relates to a method, device, electronic equipment and medium for dividing regional soil heavy metal pollution risk areas. Background technique [0002] Soil is an important part of the earth's ecosystem, a natural resource on which human beings depend, and plays a vital role in human production and life. Soil heavy metal pollution is related to national food security and people's health. The accurate division of pollution risk areas is an important basic work for carrying out risk assessment, risk control and restoration of soil heavy metal pollution. [0003] The spatial distribution of heavy metals in soil is a highly heterogeneous complex influenced by natural and human factors. At present, the geostatistical spatial interpolation method is widely used in the division of soil heavy metal pollution risk areas, aiming to make unbiased optimal estimat...

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Problems solved by technology

Theoretically, high-precision spatial data information can be obtained by increasing the sampling density. However, for the detection of heavy metals in soil, laboratory detection methods with high detection precision and accuracy have the problems of long detection cycle and cumbersome work. Therefore, the higher the sampling density, the higher the sampling density. The more manpower, material resources, financial resources and time required, the higher the cost of soil heavy metal pollution risk zone division

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