Sampling density judgment method based on survey data, storage medium and electronic equipment

Abstract

The invention relates to the technical field of soil pollution investigation and remediation, in particular to a sampling density judgment method based on survey data, a storage medium and electronic equipment. The method comprises the following steps: judging whether early-stage survey data meeting a preset condition exists in a research area or not; if a judgment result shows that sometimes early-stage survey data meeting a preset condition exists in a research area, combining the survey data with a soil pollution survey demand for calculation to obtain alternative data, and judging the first sampling density of the research area according to the alternative data; if the judgment result shows no early-stage survey data meeting a preset condition exists in a research area, combining the survey data and pollutant influence factors for calculation, obtaining a first change curve, and judging the second sampling density of the research area according to the first change curve; and if the judgment result shows that there is no early survey data in the research area, calculating according to the pollutant spatial distribution influence factors of the research area to obtain a second change curve, and judging the third sampling density of the research area according to the second change curve. The method not only can be combined with the actual condition of a research area, but also can objectively and accurately determine the optimal sampling density, and is wide in application prospect.

Description

technical field [0001] The invention relates to the technical field of soil pollution investigation and restoration, in particular to a sampling density determination method based on investigation data, a storage medium and electronic equipment. Background technique [0002] At present, the methods to determine the optimal sampling density mainly include classical formula method, geostatistical method, spatial analysis method and model method. The classical formula method is easy to operate, but does not consider the spatial distribution characteristics of pollutants, resulting in poor representativeness of samples. The geostatistical method and the spatial analysis method are mainly based on a large amount of data collected in the early stage, and adopt the stepwise sparse method to obtain the change trend of the semivariogram and the spatial distribution characteristics, and obtain the optimal sampling density on this basis, which is contradictory to the actual work proces...

AI Technical Summary

Problems solved by technology

Modeling methods usually require more prior information, such as the concentration data of pollutants and their influencing factors, and can optimize the sampling location, but determining the number of samples is more subjective

In addition, the evaluation index of optimal sampling density is often single, such as relying on semivariogram, spatial distribution characteristics, interpolation accuracy, etc., but it does not meet the needs of soil pollution investigation, and there is no classification of sampling density according to different situations method

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