Heavy metal pollution analysis method based on hyperspectral imaging analysis

Abstract

The invention discloses a heavy metal pollution analysis method based on hyperspectral imaging analysis. The heavy metal pollution analysis method comprises the following steps: A, investigating and classifying heavy metal pollution conditions of a main mineral source region; B, acquiring hyperspectral imaging signals of a mineral source area; C, performing spectral data imaging signal analysis and processing; and D, establishing a regression model of the soil reflection spectrum and the heavy metal content and inverting the heavy metal content. The method solves the problems of high redundancy of spectral data and complex data processing in hyperspectral imaging soil and vegetation heavy metal pollution research. A set of mineral source typical heavy metal pollution research method and evaluation process based on hyperspectral imaging analysis is formed, and reference and basis are provided for later heavy metal pollution treatment and soil remediation. Quantitative inversion researchbetween soil reflection spectrum characteristics and heavy metal element content can provide technical and theoretical support for further applying a space or aerial remote sensing technology to perform hyperspectral remote sensing quantitative monitoring on soil heavy metal pollution. Technical support is provided for rapid monitoring of heavy metal content in soil and large-area soil heavy metal pollution evaluation.

Description

technical field [0001] The invention relates to the technical field of heavy metal pollution analysis, in particular to a heavy metal pollution analysis method based on hyperspectral imaging analysis. Background technique [0002] In recent years, with the continuous development of remote sensing technology, especially hyperspectral imaging analysis technology, it provides a new opportunity for macroscopic and rapid acquisition of soil heavy metal element information. At present, scholars at home and abroad have used various methods to predict the content of various soil heavy metal elements based on the characteristics of soil hyperspectral reflectance spectra, and have made some progress. such as Kemper [3] The content of As, Fe, Hg and Pb in the mining soil was successfully predicted by reflectance spectroscopy. Li Shumin and others [4] To explore the correlation between heavy metal content and visible-near-infrared spectral reflectance in agricultural soil in Beijing ...

AI Technical Summary

Problems solved by technology

However, the research on soil heavy metal pollution using hyperspectral imaging analysis method is still immature. The main reason is that the content of heavy metal elements in polluted soil is very small, and the signal reflected in the spectrum is relatively weak; The inversion mechanism and modeling methods are still in the exploratory stage; the attachment methods of heavy metal elements in different regions and the extraction and analysis of element spectral features are also diverse and complex.

These research difficulties are also the key research areas and directions of this research in the future.

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