Soil heavy metal risk identification method based on space interaction relationship

Abstract

The invention discloses a soil heavy metal risk identification method based on a spatial interaction relationship. The method specifically comprises the following steps: S1, obtaining a full-apertureheavy metal-related key industry enterprise list, a soil environment key supervision enterprise list, a key pollution discharge unit list, enterprise POI data, industrial and commercial element supplement data and a remote sensing image of a to-be-researched area; S2, obtaining enterprise basic information associated data containing geographic positions according to the industrial and commercial element supplementary data and the enterprise POI data; S3, judging whether buildings or enterprise factories exist in the area or not to obtain pollution enterprise point location data; S4, performingbivariate local space autocorrelation analysis on the soil heavy metal risk level and the density value of a pollution enterprise to obtain a space interaction relationship between the soil heavy metal and the pollution enterprise; and S5, carrying out risk identification on the research area. According to the method, the existing soil heavy metal partitioning method and thought are expanded, andthe method has important theoretical and practical significance for further managing and preventing soil heavy metal pollution.

Description

technical field [0001] The invention belongs to the field of soil heavy metal risk identification, and in particular relates to a soil heavy metal risk identification method based on spatial interaction relationships. Background technique [0002] The Chinese government attaches great importance to the issue of soil pollution, and has carried out a series of soil pollution surveys, including the list of key pollutant discharge units, the list of key enterprises in the soil environment, and the list of full-caliber enterprises in key industries involved in heavy metals, etc., which has greatly improved the understanding of the soil environment by managers and the public. Pollution-related enterprises, which also provide technical and scientific researchers with a large number of sources of information on polluting enterprises. However, these data only have information such as the province, city, county, and company name, and it is relatively difficult to obtain the latitude a...

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Problems solved by technology

However, these studies are only based on the deterministic risk of soil pollution, while ignoring the spatial interaction relationship of pollution

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