Prediction method of clay flocculation index in heavy soda saline-alkali soil based on electrolyte concentration

Abstract

The present invention relates to the field of soil. In order to solve the problem that there is little research on the prediction method of clay flocculation index of heavy soda saline-alkali soil in the prior art, a prediction method of clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration is disclosed, which comprises the following specific steps: S1: soil index determination: using atomic absorption spectrophotometry to determine the concentration of electrolyte solution or Ca2+ applied to heavy soda saline-alkali soil. 2+ Content; S2: Prediction of soil clay flocculation index: The clay flocculation index of severe soda saline-alkali soil can be predicted according to the following regression prediction equation, namely: #imgabs0# The determination method of the present invention saves time and labor, and can simply, quickly, scientifically and accurately obtain the clay flocculation index of severe soda saline-alkali soil.

Description

Technical Field

[0001] The invention relates to the field of soil technology, and in particular to a method for predicting clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration. Background Art

[0002] Soda saline-alkali soil has high clay content, strong dispersibility, and high concentration of exchangeable Na + Most of the negative charges on the clay surface are Na + Neutralization forms a thicker positive charge layer, which hinders the flocculation of clay particles. Clay dispersion will cause the surface to expand and become muddy when wet, and shrink and become hard when dry, making the soil structure extremely poor, the permeability extremely low, and the physical properties relatively poor. With the increase of the alkalinity of soda saline-alkali soil, the degree of clay dispersion also increases, and the flocculation ability of clay particles weakens. The clay flocculation index is an important indicator reflecting the dispersion of soil clay particles and is closely related to soil structure.

[0003] At present, the main determination method of the clay flocculation index of soda saline-alkali soil is to first determine the clay dispersion rate of the soil by a pipette method or a hydrometer method, and then subtract the clay dispersion rate from one to obtain the clay flocculation index. The determination is time-consuming and the process is cumbersome, and it is impossible to quickly and accurately characterize or predict the flocculation status of clay in soda saline-alkali soil. Based on this, the present invention aims to quickly obtain the clay flocculation index of soda saline-alkali soil by establishing a functional relationship between electrolyte concentration and clay flocculation index, thereby improving the efficiency of judging the regional clay flocculation status and facilitating the improvement of regional saline-alkali land. Summary of the invention

[0004] The purpose of the present invention is to solve the problem of lack of prediction method for clay flocculation index of heavy soda saline-alkali soil in the prior art, and propose a prediction method for clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] The method for predicting clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration includes the following specific steps:

[0007] S1: Soil index determination: Determination of the concentration of electrolyte solution or Ca2+ applied to heavy soda saline soil by atomic absorption spectrophotometry 2+ content;

[0008] S2: Prediction of soil clay flocculation index: The clay flocculation index of heavy soda saline soil can be predicted according to the following regression prediction equation, namely:

[0009] As a further technical solution of the present invention, in S1, Ca 2+ The unit of content is mmol / L.

[0010] As a further technical solution of the present invention, in S2, x in the regression prediction equation is the concentration of CaCl2 or Ca 2+ Content, the unit is mmol / L; CFI has no unit, the value is between 0-1.

[0011] As a further technical solution of the present invention, in S2, the regression prediction equation is nonlinearly fitted with clay flocculation index (CFI) as the dependent variable and CaCl2 concentration as the independent variable, and the fitting model has significant statistical significance (p<0.001), and the goodness of fit (R 2 ) is 0.96.

[0012] The beneficial effects of the present invention are:

[0013] 1. The present invention is simple to calculate, and only needs to measure the concentration of the applied CaCl2 electrolyte solution or Ca 2+ By substituting the content into the formula, the clay flocculation index (CFI) of heavy soda saline-alkali soil can be predicted. The steps are simple, easy to implement, and save time and cost.

[0014] 2. The accuracy of the present invention is high, and the fitting degree between the clay flocculation index and the electrolyte CaCl2 concentration of the heavy soda saline-alkali soil is 0.96, and reaches an extremely significant level (p<0.001). BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the method for predicting the clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration proposed by the present invention;

[0016] Figure 2 This is a fitting curve diagram of CaCl2 and CFI based on the method for predicting clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration proposed by the present invention. DETAILED DESCRIPTION

[0017] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0018] Please see attached Figure 1 The method for predicting clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration includes the following specific steps:

[0019] S1: Soil index determination: Determination of the concentration of electrolyte solution or Ca2+ applied to heavy soda saline soil by atomic absorption spectrophotometry 2+ content;

[0020] S2: Prediction of soil clay flocculation index: The clay flocculation index of heavy soda saline soil can be predicted according to the following regression prediction equation, namely:

[0021] In a preferred embodiment, in S1, Ca 2+ The unit of content is mmol / L.

[0022] In a preferred embodiment, in S2, x in the regression prediction equation is the concentration of CaCl2 or Ca 2+ Content, the unit is mmol / L; CFI has no unit, the value is between 0-1.

[0023] In a preferred embodiment, in S2, the regression prediction equation is nonlinearly fitted with clay flocculation index (CFI) as the dependent variable and CaCl2 concentration as the independent variable, and the fitting model has significant statistical significance (p<0.001), and the goodness of fit (R 2 ) is 0.96.

[0024] From the above description, it can be seen that the above embodiments of the present invention achieve the following technical effects: The present invention is simple to calculate, and only needs to measure the concentration of the applied CaCl2 electrolyte solution or Ca 2+ The content can be substituted into the formula to predict the clay flocculation index (CFI) of the severe soda saline-alkali soil. The steps are simple, easy to implement, and time cost is saved. The accuracy of the invention is high, and the fitting degree of the clay flocculation index of the severe soda saline-alkali soil and the electrolyte CaCl2 concentration is 0.96, and reaches an extremely significant level (p<0.001).

[0025] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention (including the claims) is limited to these examples. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0026] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration, characterized in that: The specific steps include: S1: Soil index determination: Determination of the concentration of electrolyte solution or Ca2+ applied to heavy soda saline soil by atomic absorption spectrophotometry 2+ content; S2: Prediction of soil clay flocculation index: The clay flocculation index of heavy soda saline soil can be predicted according to the following regression prediction equation, namely: In the S1, Ca 2+ The unit of content is mmol / L. In S2, x in the regression prediction equation is the concentration of CaCl2 or Ca 2+ Content, the unit is mmol / L; CFI has no unit, the value is between 0-1.

2. The method for predicting clay flocculation index of heavy soda saline-alkali soil based on electrolyte concentration according to claim 1 is characterized in that: In S2, the regression prediction equation was fitted nonlinearly with clay flocculation index (CFI) as the dependent variable and CaCl2 concentration as the independent variable. The fitting model was statistically significant (p<0.001) and the goodness of fit (R 2 ) is 0.96.

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