Large-area soil heavy metal detection and spatial and temporal distribution characteristic analysis method and system

Abstract

The invention discloses a large-area soil heavy metal detection and spatial and temporal distribution characteristic analysis method and system. The method comprises the following steps: 1) constructing an analysis model for spatial distribution of multiple heavy metal elements in a large area; 2) determining an analysis object; 3) sampling and detecting the urban surface soil in each gridding area; and 4) substituting the obtained sampling composite detection data into the analysis model, analyzing the soil heavy metal content and geographic information, and drawing a total content distribution diagram of the heavy metal elements. The system provided by the invention comprises a remote server, a plurality of front-end machines and terminal equipment which are mutually connected and communicated through a network. By constructing a new mathematical model, screening typical detection objects and comprehensively utilizing sampling point data and geochemical survey data, distribution characteristics of four elements of As, Cd, Hg and Pb in a large area are analyzed, the area coverage of an analysis result is complete, the accuracy is high, and the automation degree of the analysis process is high.

Description

technical field [0001] The invention relates to the technical field of soil heavy metal detection and geographical information analysis, in particular to a large-area soil heavy metal detection and time-space distribution characteristic analysis method and system. Background technique [0002] With the rapid development of urbanization in our country, more and more urban agglomerations with closely related regions, economies and cultures have emerged one after another. Urban agglomeration is the highest form of spatial organization in the mature stage of urban development. It refers to within a specific geographical range, generally centered on more than one megacity, composed of three or more major cities, and relying on developed transportation and communication infrastructure. The facility network forms an urban group with compact spatial organization, close economic ties, and ultimately a high degree of urbanization and integration. Urban agglomeration is a huge, multi-...

AI Technical Summary

Problems solved by technology

According to media reports, since the 20th century, incidents of heavy metal pollution and health damage in some urban agglomerations in China have occurred frequently. Failed to conduct surveys and researches on large areas across cities, such as urban agglomerations, especially the time dimension of large areas

In the prior art, during the sampling, detection and analysis of soil heavy metals, due to the small sampling area, limited number of samples, and inconsistent data format, it is often not directly applicable to the research of large areas such as urban agglomerations; the existing research methods are often incomplete. The spatial distribution and temporal changes covering the entire large area lead to insufficient representativeness, accuracy, and trend of the analysis results, and it is impossible to further analyze and evaluate the soil environmental quality in large areas of urban agglomerations and formulate targeted prevention and control programs.

[0004] At the same time, most of the current analysis, evaluation and result output of soil environmental quality are still done manually by field experts, using their professional skills to analyze and judge manually, so there are low data processing capabilities, low analysis efficiency, The analysis results have some shortcomings such as subjectivity, and new technologies such as machine learning cannot be applied to related fields. The automation of the analysis process is low, and the repeatability of the process and the verifiability of the method are poor.

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