Inversion modeling for content of heavy metal Cd in soil on the basis of hyperspectral features of indoor standard sample and recognition method for spectral response characteristic wave band thereof

Abstract

The invention discloses an inversion modeling for content of heavy metal Cd in soil on the basis of hyperspectral features of an indoor standard sample and a recognition method for a spectral response characteristic wave band thereof. The inversion modeling includes the steps of: 1) artificially designing standard soil samples with different Cd pollution contents, adding pollutants by means of a soil background sample in a laboratory to prepare Cd pollution standard samples, analyzing the physical and chemical properties of the Cd pollution standard samples so as to obtain indoor spectrum and data of heavy metal Cd content of the soil standard samples; 2) performing pretreatment of the spectral data by means of a spectrum re-sampling-standard normal variation (SNV)-first-order / second-order differential-background sample ratio in-series spectrum transform method, and meanwhile, acquiring the content of heavy metal Cd in soil through descriptive statistical analysis; and 3) finally establishing an inversion model of content of heavy metal Cd in soil through a partial least squares regression method, and on the basis of the model, extracting the spectral response characteristic wave band. The method solves the problems that soil sampling in the prior art is high in cost and low in efficiency and is difficult to satisfy inversion of content of heavy metal in soil quickly in large area and can accurately and high-effectively estimate the content of heavy metal Cd in soil.

Description

Technical field [0001] The invention relates to the field of soil heavy metal content hyperspectral inversion, in particular to a method for soil heavy metal Cd content inversion modeling based on indoor standard sample hyperspectral characteristics and spectral response characteristic band identification. Background technique [0002] With the development of urbanization, industrialization and agricultural intensification, soil heavy metal pollutants in agricultural land are gradually affected by the characteristics of long residual time, strong concealment, low mobility, high toxicity, resistance to microbial degradation, and enrichment through the food chain. The general concern of domestic and foreign researchers. However, due to the huge cost of large-scale and high-density sampling and the difficulty in implementing normalized, fast and efficient dynamic monitoring, the large-scale implementation of heavy metal pollution control still has two prominent problems, "unclear po...

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Problems solved by technology

However, the soil composition is complex and the content of heavy metals is very small. Effectively eliminating the spectral interference of soil moisture, organic matter, iron and manganese oxides and other components, establishing a heavy metal content inversion model, and accurately identifying the characteristic bands of the spectral response of trace heavy metal elements are key technologies that need to be solved urgently. problem

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