Soil lead pollution degree prediction method and device based on a terahertz spectrum

A prediction method and technology of lead pollution, applied in the direction of measuring device, prediction, soil material testing, etc., can solve the problem of inaccurate analysis results of lead content in soil, achieve accurate prediction results of soil lead pollution degree, and improve the effect of accuracy

Active Publication Date: 2020-04-10
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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Problems solved by technology

However, when using terahertz spectroscopy to analyze soil lead content, the results of soil lead content analysis are not accurate enough.

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  • Soil lead pollution degree prediction method and device based on a terahertz spectrum
  • Soil lead pollution degree prediction method and device based on a terahertz spectrum
  • Soil lead pollution degree prediction method and device based on a terahertz spectrum

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Embodiment Construction

[0055] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0056] Before introducing the embodiments of the present invention, the concept of the embodiments of the present invention will be introduced first. The present inventor finds after independent research and analysis based on the detection results of the chemical binding state content of lead in the lead-containing soil, lead mainly exists in the carbonate binding state and the iron-manganese oxide binding state after entering the soil, and other The content of bound state is relatively small, and the content of lead in different bound states changes with the change of pH. As shown in Table 1, the content of lead in different binding states changes with the change of...

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Abstract

The embodiment of the invention discloses a soil lead pollution degree prediction method and device based on a terahertz spectrum, and the method comprises the steps: obtaining the pH value of to-be-detected soil; acquiring terahertz spectrum data of the soil to be detected; according to the pH value of the to-be-detected soil, selecting a feature extraction mode matched with the terahertz spectral data of the to-be-detected soil and a lead pollution degree prediction model matched with the to-be-detected soil; and extracting characteristic data of the terahertz spectral data of the soil to bedetected by using the characteristic extraction mode, and inputting the characteristic data into the lead pollution degree prediction model to obtain the lead pollution degree of the soil to be detected. According to the embodiment of the invention, an accurate soil lead pollution degree prediction result can be obtained.

Description

technical field [0001] The invention relates to the technical field of soil detection, in particular to a soil lead pollution degree prediction method and device based on terahertz spectroscopy. Background technique [0002] Lead pollution is one of the main forms of soil heavy metal pollution. Lead is biotoxic, non-degradable, and accumulative in organisms. After entering the soil, it is easy to accumulate in the surface soil in different chemical forms through dissolution, precipitation, complexation, and adsorption. It is the main place for the material and nutrient exchange between the root system of crops and the soil. Therefore, lead may enter the human body through the food chain, and after accumulating in the human body to a certain concentration, it will harm the internal organs, nervous system, bone hematopoietic system, etc. It can be seen that the detection of lead pollution in soil is of great significance for the risk management and control of agricultural la...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3563G01N21/3581G01N33/24G06Q10/04G06N3/08
CPCG01N21/3563G01N21/3581G01N33/24G06Q10/04G06N3/084G01N2033/245
Inventor 李斌李超李银坤王姝言
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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