Method for detecting heavy metal content of coal gangue filling reclamation reconstruction soil based on high spectrum technology

Abstract

The invention discloses a method for detecting a heavy metal content of coal gangue filling reclamation reconstruction soil based on a high spectrum technology. The method comprises the steps of performing sampling on site; collecting a sample spectrum curve; performing data processing; constructing a high spectrum estimation model for inverting soil heavy metal content; constructing a partial least squares regression model; and finally utilizing the partial least squares regression model to detect the heavy metal content of the coal gangue filling reclamation reconstruction soil. Compared with a conventional multiple linear regression analysis method, according to the method, the problem of multicollinearity faced by the multiple linear regression analysis method is solved, spectral information can be summarized and extracted, system information and noise are identified more easily, and thus the content of heavy metal elements can be quantitatively inverted accurately. The simple and quick detection method is provided for large-area low-cost investigation and monitoring of heavy metal pollution of mine lot reclamation land soil, technical means are provided for guaranteeing mine lot reclamation land crop safety, and development and application of a high spectrum remote sensing technology are promoted.

Description

technical field [0001] The invention relates to a method for detecting heavy metal content in soil, in particular to a method for detecting heavy metal content in reclaimed and reconstructed soil filled with coal gangue based on hyperspectral technology. Background technique [0002] Coal gangue produced during coal mining can be used as a matrix to fill subsidence areas, but the heavy metal elements it carries will affect the safety of the soil. On the one hand, the pollution of heavy metals to soil is irreversible in the short term and may enter the human body through the food chain; on the other hand, the complex spatial heterogeneity of soil makes it difficult to quantitatively detect the spatial distribution and spatial correlation of heavy metals in soil. [0003] With the development of hyperspectral remote sensing technology, it provides a powerful tool for quantitative prediction and analysis of heavy metal pollution in soil due to its high spectral resolution, mult...

AI Technical Summary

Problems solved by technology

[0002] Coal gangue produced during coal mining can be used as a matrix to fill subsidence areas, but the heavy metal elements it carries will affect the safety of the soil

On the one hand, heavy metal pollution to soil is irreversible in the short term and may enter the human body through the food chain; on the other hand, the complex spatial heterogeneity of soil makes it difficult to quantitatively detect the spatial distribution and spatial correlation of soil heavy metals

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