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, and the method comprises the following steps: S1, setting a large-area soil heavy metal detection and spatial and temporal distribution characteristic analysis system; S2, constructing an analysis model for large-area multiple heavy metal element spatial distribution; s3, determining an analysis object; s4, sampling and detecting the urban surface soil in each gridding area; and S4, substituting the sampled 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 four heavy metal elements. The system provided by the invention comprises a remote server, a plurality of front-end machines and terminal equipment. According to the method, the distribution characteristics of the heavy metal elements in the large area are analyzed by screening key detection objects, constructing a new mathematical model and comprehensively utilizing sampling point data and geochemical survey data, the area coverage of the 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

[0007] To sum up, most of the current analysis, evaluation and output of soil environmental quality are done manually by field experts, who use their professional skills to manually collect, analyze and judge data in multiple steps and stages. , there are deficiencies such as limited data acquisition channels, low data processing capabilities, low analysis efficiency, and certain subjectivity of analysis results (few quantifiable indicators, indicators cannot form a system), and cannot make full use of a large amount of relevant existing data. The analysis process The degree of automation is low, the repeatability of the process and the verifiability of the method are poor, and it cannot meet the problems of large-area, large-scale data, and large-time-span soil heavy metal pollution analysis, and cannot use systematic methods for dynamic monitoring. Researchers in this field also need to further find out quantitative data or indicator systems that are early warning, scientific, and can be used as a reference for decision-making

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