Soil heavy metal risk prediction method

Abstract

The invention provides a soil heavy metal risk prediction method. Based on a sequential condition simulation method, the contents of various heavy metals in the soil in a target area can be estimated,and a visualized risk map of heavy metals in the soil is generated by integrating various heavy metal contents based on a Hakanson potential ecological risk index method. Compared with a traditionalKriging interpolation method, the sequential condition simulation method can better reflect the uncertainty of heavy metal distribution, overcomes the smoothing effect of the traditional Kriging interpolation method, and has better predictability; the Hakanson potential ecological risk index method can scientifically synthesize various soil heavy metal contents and obtains the more accurate assessment risk; the method is relatively intuitive to observe high-risk areas from the visible soil heavy metal risk map, makes preventive measures in time, and has good practicability.

Description

technical field [0001] The invention belongs to the field of geostatistics, and in particular relates to a soil heavy metal risk prediction method. Background technique [0002] With the rapid development of urbanization, industry and mining, and the extensive use of pesticides and organic fertilizers, more and more heavy metals enter the farmland soil environment through sewage irrigation, atmospheric deposition, and precipitation runoff. The content of heavy metals in farmland is increasing day by day, and heavy metals are difficult to be degraded by microorganisms in the soil. Once the content of heavy metals exceeds a certain threshold, it will cause serious harm to crop safety, ecological environment and human health. Aiming at the threat of heavy metals in farmland soil, pre-identifying the risk areas of heavy metals in farmland can provide scientific guidance and basis for regional farmland environmental protection, heavy metal pollution early warning and risk control...

AI Technical Summary

Problems solved by technology

On a large scale, due to the uneven distribution of farmland, space, time, and labor costs, it is difficult to achieve uniform and dense sampling, and the resulting smoothing effect may lead to the loss of important information in the abnormal area of ​​​​soil heavy metal content.

[0007] On the other hand, the index method is simple and easy to understand, easy to grasp and operate, but there are still some problems: for example, the single factor index method is difficult to comprehensively and comprehensively display the degree of soil pollution

Nemerow's comprehensive pollution index method, the artificial estimation factor is subjective, and it is easy to exaggerate the impact of high-concentration heavy metal pollution

The geoaccumulation index method ignores the correlation between elements, the different pollution capabilities and bioavailability of each metal, it is difficult to compare the environmental quality between elements or regions, and it will be subjective when selecting the k value

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