Contaminated soil regeneration efficiency statistical method

Abstract

The invention provides a contaminated soil regeneration efficiency statistical method which comprises the following steps: establishing a standard library containing various contaminated soil samples, and analyzing the samples to establish a multivariate multi-coefficient model and a regression equation; and testing the soil sample to be tested to obtain pollutant response data, calculating the pollution index and response value of the pollutant by using the regression equation, and further evaluating the pollution degree and the regeneration efficiency. According to the method, the soil pollution condition can be accurately evaluated, the regeneration efficiency is calculated, and a scientific basis is provided for soil remediation.

Description

Technical Field

[0001] The present invention relates to the field of environmental science, and more specifically, to a statistical method for the regeneration efficiency of contaminated soil. Background Art

[0002] Existing soil pollution regeneration efficiency assessment methods often rely on single pollutant analysis or simple empirical formulas. These methods often cannot accurately reflect the actual pollution status of the soil when dealing with soil contaminated by multiple pollutants. In addition, due to the lack of a systematic statistical model, these methods find it difficult to take into account the interactions and impacts between different pollutants when evaluating soil regeneration efficiency. In the process of soil pollution analysis, the commonly used detection methods may not be able to fully cover various types of pollution, resulting in one-sidedness and inaccuracy in the analysis results. At the same time, due to the lack of standardized processing and analysis procedures, it is often difficult to effectively compare the results between different laboratories, affecting the reliability and versatility of soil pollution assessment.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing soil pollution assessment method cannot effectively deal with the situation of mixed pollution of multiple pollutants, and lacks accurate quantitative analysis tools when evaluating soil regeneration efficiency. In addition, the existing methods lack systematicity and scientificity in data processing and model building, resulting in limited accuracy and reliability of the assessment results. Summary of the invention

[0004] The present invention provides a statistical method for the regeneration efficiency of contaminated soil, comprising:

[0005] Screening a variety of standard soil samples covering different pollution types to establish a standard soil sample information library, and analyzing the standard soil samples under set parameters, by comparing the pollution indicators of different standard soil samples and the response values ​​under a specific detection method, establishing a multivariate multi-coefficient model under a specific detection method to obtain a regression equation;

[0006] The soil sample to be tested is tested under the analysis setting parameters of the standard soil sample to obtain the response data of the pollutants in the non-standard soil sample under a specific detection method; the pollution index and response value of the pollutants in the non-standard soil sample are calculated respectively by using the regression equation and the relevant statistical formula;

[0007] The pollution index data of the non-standard soil sample pollutants and the response value data are used to calculate the pollution degree of the non-standard soil sample pollutants; and the regeneration efficiency is calculated based on the pollution degree of the non-standard soil sample pollutants, the response data and their pollution characteristics.

[0008] Furthermore, the method for obtaining the value of the pollution index of the standard soil sample is: obtaining the pollution index of each of the standard soil samples under a specific detection method;

[0009] The response value of the standard soil sample is calculated using the relevant statistical formula; the ratio of the pollution index of the standard soil sample to its response value is the value of the pollution index of the standard soil sample.

[0010] Furthermore, the pollution indicators of the different standard soil samples are heavy metal content, organic pollutant concentration and microbial activity.

[0011] Furthermore, the method for analyzing the standard soil sample under set parameters is: preparing the standard soil sample into mixed samples with different gradient pollution degrees using a standardized treatment method, setting the parameters of a soil pollution analysis instrument, and performing analysis.

[0012] Further, the standard soil sample is prepared using a standardized treatment method

[0013] Mixed samples with low, medium and high pollution are prepared into standard samples with different pollution levels.

[0014] Furthermore, the parameters of the soil pollution analysis instrument are as follows: the initial temperature is 25 °C for 3 min, then increased to 75 °C at 2 °C / min and retained for 5 min; the injection flow rate is a constant flow of 0.5 mL / min; the modulation period is 2 s, including 0.5 s for hot spray and 1.5 s for cold spray; the transmission line and detector temperatures are 300 °C and 200 °C, respectively;

[0015] The acquisition voltage was 1000 V and the scanning mass number was 10-500.

[0016] Furthermore, the method of using the regression equation to calculate the pollution index of the pollutants in the soil sample without standards is: arranging the pollutants in the soil sample without standards measured in the soil sample to be tested according to the number of pollution types and pollution degrees, and using the regression equation to calculate the pollution index of each pollutant in the soil sample without standards.

[0017] Furthermore, the pollution index data of the pollutants in the soil sample without standards is multiplied by the response value data to calculate the pollution degree of each pollutant in the soil sample without standards.

[0018] Furthermore, by comparing the pollution indexes and pollution index values ​​of different standard soil samples, a multivariate multi-coefficient model is established to obtain a regression equation by performing nonlinear polynomial fitting on the pollution indexes of the standard soil samples and their pollution types and pollution degrees to cover the pollution type and pollution degree range; then, the pollution type and pollution degree information of the standard soil samples is converted into a code and input into statistical software to calculate each coefficient; wherein the nonlinear polynomial fitting formula is:

[0019]

[0020] Among them, y i is the pollution index of species i; b0 to b8 are the coefficients obtained after fitting; x1 to x5 are the quantitative values ​​of each pollution type and pollution degree, ln represents the natural logarithm, and e represents the natural constant.

[0021] Furthermore, a plurality of standard soil samples covering different pollution types are screened as mixed standard soil solutions or soil samples with a soil purity greater than 95%, including heavy metal contaminated soil, organic pollutant soil, and soil with low microbial activity.

[0022] According to the above-mentioned embodiment of the present invention, at least the following beneficial effects are achieved: the statistical method for the regeneration efficiency of contaminated soil can accurately evaluate the degree of contamination of soil samples of different types of contamination by establishing a standard soil sample information database and a multivariate multi-coefficient model. By comparing the contamination indexes and response values ​​of standard soil samples and establishing a regression equation, this method can accurately calculate the contamination indexes and response values ​​of pollutants in the soil samples to be tested. Furthermore, these data can be used to calculate the degree of contamination of pollutants in soil samples without standard samples, thereby evaluating their regeneration efficiency. This method can provide a scientific, systematic and accurate means of soil pollution assessment, which is helpful for decision-making in environmental remediation and soil regeneration.

[0023] In addition, this method can ensure the comparability of results between different laboratories by standardizing processing and setting analytical parameters. The regression equation calculated by nonlinear polynomial fitting and statistical software can comprehensively cover various types of pollution, including heavy metal content, organic pollutant concentration and microbial activity. This method can improve the accuracy and reliability of soil pollution analysis and provide more accurate data support for soil pollution control. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0025] Figure 1A schematic diagram of a flow chart of a method for calculating the regeneration efficiency of contaminated soil provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0026] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0027] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0028] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0029] Reference below Figure 1 , Figure 1 A flow chart of a method for calculating the regeneration efficiency of contaminated soil provided by an embodiment of the present invention. Figure 1 As shown, a statistical method 100 for the regeneration efficiency of contaminated soil includes:

[0030] Step 101, screening a plurality of standard soil samples covering different pollution types to establish a standard soil sample information library, and analyzing the standard soil samples under set parameters, by comparing the pollution indicators of different standard soil samples and the response values ​​under a specific detection method, establishing a multivariate multi-coefficient model under a specific detection method to obtain a regression equation;

[0031] Step 102, the soil sample to be tested is tested under the analysis setting parameters of the standard soil sample to obtain the response data of the pollutants in the non-standard soil sample under a specific detection method; the pollution index and response value of the pollutants in the non-standard soil sample are calculated respectively by using the regression equation and the relevant statistical formula;

[0032] Step 103, using the pollution index data of the pollutants in the soil sample without standards and the response value data to calculate the pollution degree of the pollutants in the soil sample without standards; and calculating the regeneration efficiency thereof through the pollution degree of the pollutants in the soil sample without standards, the response data and the pollution characteristics thereof.

[0033] It should be noted that this method involves the establishment of a standard soil sample information library containing soil samples of various pollution types. This information library is constructed by analyzing soil samples of different pollution types and collecting their pollution indicators and response values. Pollution indicators usually refer to the concentration or content of pollutants in the soil, while the response value is the signal or reading generated by these pollutants under a specific detection method.

[0034] Specifically, the process of establishing a standard soil sample information library includes collecting different types of soil samples, such as heavy metal contaminated soil, organic pollutant soil, and soil with low microbial activity. These samples need to be analyzed under set parameters, for example, using standardized treatment methods to prepare mixed samples with different gradient pollution levels, and setting the parameters of the soil pollution analysis instrument for analysis. Parameter settings may include initial temperature, heating rate, injection flow rate, modulation cycle, etc., which are key factors affecting the analysis results.

[0035] Preferably, for the parameter setting of the soil pollution analysis instrument, the initial temperature can be selected to be 25°C and retained for 3 minutes, and then increased to 75°C at a rate of 2°C / min and retained for 5 minutes. The injection flow rate can be set to a constant flow of 0.5mL / min, and the modulation cycle is 2 seconds, including 0.5 seconds for hot spray and 1.5 seconds for cold spray.

[0036] Furthermore, the temperatures of the transmission line and detector can be set to 300°C and 200°C respectively, the acquisition voltage is 1000V, and the scanning mass number range is 10 to 500. The setting of these parameters ensures the standardization of the analysis process and the reproducibility of the results. As an alternative, these parameters can also be adjusted according to specific experimental conditions and requirements to adapt to different analysis purposes and sample characteristics.

[0037] In some embodiments, the method for obtaining the value of the pollution index of the standard soil sample is: obtaining the pollution index of each of the standard soil samples under a specific detection method;

[0038] The response value of the standard soil sample is calculated using the relevant statistical formula; the ratio of the pollution index of the standard soil sample to its response value is the value of the pollution index of the standard soil sample.

[0039] It should be noted that this sentence describes a specific method for obtaining the pollution index value of a standard soil sample. This involves using a specific detection method to determine the pollution index of a standard soil sample, and then using a relevant statistical formula to calculate the response value.

[0040] Specifically, the process of obtaining the pollution index value of the standard soil sample includes the following steps: First, a specific detection method is used to determine the pollution index in the soil sample, which may include techniques such as chemical analysis, spectral analysis or chromatographic analysis.

[0041] More specifically, based on the measured pollution index data, the response value of each sample is calculated using a statistical formula. These response values ​​reflect the signal strength of the pollutant during the detection process and can be used for subsequent model building and data analysis.

[0042] Preferably, the operation steps for obtaining the pollution index value of the standard soil sample can be further refined as follows: First, select a suitable detection method, such as atomic absorption spectroscopy AAS or high performance liquid chromatography HPLC, to determine the heavy metal content, organic pollutant concentration, etc. in the soil sample. Then, based on the data obtained by the detection, use a statistical formula such as the least squares method to calculate the response value. The ratio of these response values ​​to the pollution index is the pollution index value of the standard soil sample.

[0043] Furthermore, automated data processing software can be used to improve computational efficiency and accuracy. Alternatively, other types of detection methods or statistical formulas can be selected according to specific experimental requirements and conditions to accommodate different analytical purposes and sample characteristics.

[0044] In some embodiments, the pollution indicators of different standard soil samples are heavy metal content, organic pollutant concentration and microbial activity.

[0045] It should be noted that this sentence refers to the specific indicators of different pollution types involved in establishing a standard soil sample information library. These pollution indicators include heavy metal content, organic pollutant concentration and microbial activity. Heavy metal content refers to the concentration of specific heavy metal elements in the soil, organic pollutant concentration refers to the concentration of organic compounds in the soil, and microbial activity refers to the activity level of microbial communities in the soil.

[0046] Specifically, the pollution indicators of different standard soil samples can be determined in the following ways: First, the soil samples are analyzed for heavy metal content, which usually involves the use of techniques such as atomic absorption spectroscopy (AAS) or inductively coupled plasma mass spectrometry (ICP-MS).

[0047] More specifically, the concentration of organic pollutants in soil samples may be determined by gas chromatography-mass spectrometry (GC-MS) or liquid chromatography-mass spectrometry (LC-MS). Finally, the microbial activity of soil samples is evaluated, which may require methods such as microbial culture, molecular biology techniques or biomarker analysis.

[0048] Preferably, the determination of pollution indicators for different standard soil samples can be further refined as follows: For the determination of heavy metal content, graphite furnace atomic absorption spectrometry (GFAAS) can be used to improve the sensitivity and accuracy of detection. For the determination of organic pollutant concentrations, solid phase extraction (SPE) pretreatment can be used, and then gas chromatography-mass spectrometry can be used for analysis. For the evaluation of microbial activity, soil respiration rate determination or enzyme activity analysis can be used.

[0049] Furthermore, automated sample processing and analysis processes can be used to improve data consistency and repeatability. As an alternative, other types of analysis methods or techniques can be selected according to specific experimental conditions and requirements to adapt to different analysis purposes and sample characteristics.

[0050] In some embodiments, the method for analyzing the standard soil sample under set parameters is: preparing the standard soil sample into mixed samples with different gradient pollution levels using a standardized treatment method, setting the parameters of a soil pollution analysis instrument, and performing analysis.

[0051] It should be noted that this sentence describes a specific method for analyzing standard soil samples, which is to prepare mixed samples with different gradient pollution levels by using standardized treatment methods. The standardized treatment method here refers to a method of mixing soil samples in a certain proportion to simulate different levels of pollution. The gradient pollution level refers to different levels of pollution from low to high, which can more comprehensively simulate the actual soil pollution situation.

[0052] Specifically, the process of analyzing the standard soil samples includes the following steps: First, according to the degree of pollution to be simulated, select the standard soil samples of corresponding proportions for mixing. For example, low-pollution, medium-pollution and high-pollution mixed samples can be prepared.

[0053] Furthermore, the parameters of the soil pollution analysis instrument are set, which may include temperature, flow rate, modulation cycle, etc., to ensure the standardization and repeatability of the analysis process. These parameters are set to simulate the response of the soil under different pollution conditions.

[0054] Preferably, the operating steps for preparing mixed samples with different gradient pollution levels can be further refined as follows: the standard soil samples can be selected to be mixed according to the weight ratio, for example, the low pollution sample can be a mixture of 90% uncontaminated soil and 10% contaminated soil, the medium pollution sample can be a mixture of 50% uncontaminated soil and 50% contaminated soil, and the high pollution sample can be a mixture of 10% uncontaminated soil and 90% contaminated soil.

[0055] Furthermore, automated sample preparation equipment can be used to improve the uniformity and accuracy of mixing. As an alternative, other types of mixing ratios or preparation methods can be selected according to specific experimental conditions and requirements to suit different analytical purposes and sample characteristics.

[0056] In some embodiments, the standard soil sample is prepared using a standardized processing method.

[0057] Mixed samples with low, medium and high pollution are prepared into standard samples with different pollution levels.

[0058] It should be noted that this sentence further explains the specific method of how to analyze standard soil samples, especially pointing out that standard soil samples should be prepared into mixed samples with low pollution, medium pollution and high pollution, and standard samples with different pollution levels should be prepared. The standard samples here refer to samples used to calibrate analytical instruments or verify analytical methods, and they have known pollution levels.

[0059] Specifically, the process of preparing mixed samples with different pollution levels includes: first, according to the required pollution level, select the appropriate ratio to mix soil samples with different pollution levels. For example, low pollution samples may be a mixture of 90% clean soil and 10% polluted soil, medium pollution samples may be a mixture of 50% clean soil and 50% polluted soil, and high pollution samples may be a mixture of 10% clean soil and 90% polluted soil. Then, use these mixed samples to calibrate and verify soil pollution analysis instruments to ensure the accuracy of the analysis results.

[0060] Preferably, the operation steps for preparing mixed samples with different contamination degrees can be further refined as follows: During the preparation process, a precise balance and measuring equipment can be used to ensure the accuracy of the mixing ratio.

[0061] Furthermore, to ensure the homogeneity of the mixed sample, mechanical stirring or ultrasonic treatment can be used. After preparation, these standard samples can be used to calibrate analytical instruments, for example, by adjusting instrument parameters until the instrument gives accurate readings for these standard samples with known contamination levels.

[0062] Furthermore, as an alternative, other types of mixing ratios or preparation methods can be selected according to the specific needs of the experiment, or different types of contaminated soils can be used to prepare standard samples.

[0063] 6 In some embodiments, the parameters of the soil pollution analysis instrument are: the initial temperature is 25°C for 3 minutes, then increased to 75°C at 2°C / min and retained for 5 minutes; the injection flow rate is a constant flow of 0.5 mL / min; the modulation period is 2 seconds, including 0.5 seconds for hot spray and 1.5 seconds for cold spray; the transmission line and detector temperatures are 300°C and 200°C respectively;

[0064] The acquisition voltage was 1000 V and the scanning mass number was 10-500.

[0065] It should be noted that this sentence describes the specific operation of analyzing standard soil samples, that is, preparing mixed samples with different gradient pollution levels by using standardized treatment methods. The standardized treatment method here refers to a method of mixing soil samples in a certain proportion to simulate different pollution levels. The gradient pollution level refers to different levels of pollution from low to high, which can more comprehensively simulate the actual soil pollution situation.

[0066] Specifically, the process of preparing mixed samples with different gradient pollution levels includes the following steps: First, select the corresponding proportion of standard soil samples for mixing according to the pollution level to be simulated. For example, mixed samples with low pollution, medium pollution and high pollution can be prepared. Then, set the parameters of the soil pollution analysis instrument, which may include temperature, flow rate, modulation cycle, etc., to ensure the standardization and repeatability of the analysis process. These parameters are set to simulate the response of soil under different pollution conditions.

[0067] Preferably, the operating steps for preparing mixed samples with different gradient pollution levels can be further refined as follows: the standard soil samples can be selected to be mixed according to the weight ratio, for example, the low pollution sample can be a mixture of 90% uncontaminated soil and 10% contaminated soil, the medium pollution sample can be a mixture of 50% uncontaminated soil and 50% contaminated soil, and the high pollution sample can be a mixture of 10% uncontaminated soil and 90% contaminated soil.

[0068] Furthermore, in actual operation, an electronic balance can be used to accurately weigh the soil sample to ensure the accuracy of the mixing ratio. In order to ensure the uniformity of the mixed sample, a mechanical stirrer or an ultrasonic oscillator can be used to process the sample.

[0069] Specifically, during analysis, gas chromatograph GC or liquid chromatograph HPLC can be used to determine organic pollutants in soil samples, and inductively coupled plasma mass spectrometry ICP-MS can be used to determine heavy metal content. The operation of these instruments should follow the instructions provided by the manufacturer, including sample pretreatment, instrument calibration, and analysis parameter setting.

[0070] Furthermore, as an alternative, other types of mixing ratios or preparation methods can be selected according to specific experimental conditions and requirements to adapt to different analysis purposes and sample characteristics.

[0071] In some embodiments, the method of using the regression equation to calculate the pollution index of the pollutants in the soil sample without standard is: arrange the pollutants of the soil sample without standard measured in the soil sample to be tested according to the number of pollution types and pollution degrees, and use the regression equation to calculate the pollution index of each pollutant in the soil sample without standard.

[0072] It should be noted that this sentence describes how to use the regression equation to calculate the pollution index of the pollutants in the soil sample without the standard soil sample. The regression equation here refers to a mathematical model established by statistical analysis methods, which can predict the pollution index of pollutants based on known pollutant response data. Pollution index usually refers to a parameter used to measure the concentration or presence of pollutants, such as heavy metal content or organic pollutant concentration.

[0073] Specifically, the process of using regression equations to calculate the pollution index of pollutants in soil samples without standards includes the following steps: First, the pollutants in the soil samples to be tested are classified and sorted according to the pollution type and pollution degree. Then, using the regression equation previously established by analyzing the standard soil samples, the response data of the sample to be tested is input to calculate the pollution index of each pollutant. These response data may include signal strength or other measurement results obtained from the soil pollution analysis instrument.

[0074] Preferably, the operation steps for calculating the pollution index using the regression equation can be further refined as follows: In actual operation, the specific types and concentrations of various pollutants in the soil sample to be tested can be first determined through laboratory analysis.

[0075] Further, based on these data, a corresponding regression equation model is input using statistical software such as a statistical package in R or Python. For example, if the regression equation is a linear model, the least squares method can be used to fit the data and predict the pollution index.

[0076] Furthermore, in order to ensure the accuracy of the calculation, the model can be cross-validated or other statistical methods can be used to evaluate the predictive ability of the model. As an alternative, other types of regression models, such as nonlinear regression or machine learning models, can be selected according to the specific needs of the experiment to adapt to different data characteristics and analysis purposes.

[0077] In some embodiments, the pollution index data of the pollutants in the non-standard soil sample is multiplied by the response value data to calculate the pollution degree of each pollutant in the non-standard soil sample.

[0078] It should be noted that this sentence describes how to use the pollution index data and response value data of pollutants in non-standard soil samples to calculate the degree of pollution. The pollution index data here refers to the numerical value of the concentration or content of the pollutants obtained through analysis, while the response value data refers to the signal or reading generated by these pollutants under a specific detection method. The degree of pollution refers to the comprehensive impact of pollutants in soil samples and is usually used to assess the pollution level of soil.

[0079] Specifically, the process of calculating the contamination degree of pollutants in soil samples without standards includes the following steps: First, collect the pollution index data and response value data of each pollutant in the soil sample to be tested. Then, multiply these data to obtain the contamination degree of each pollutant. This calculation process can provide a quantitative value of the contamination degree for each pollutant, so as to evaluate the overall contamination status of the soil sample.

[0080] Preferably, the operation steps for calculating the pollution degree can be further refined as follows: In actual operation, spreadsheet software or professional statistical analysis software can be used to process these data. For example, the pollution index data and the response value data can be input into Excel as two columns, and then the corresponding rows can be multiplied using a formula to obtain the pollution degree of each pollutant.

[0081] Furthermore, in order to more accurately assess the degree of pollution, the data can be standardized, such as by calculating the Z score or normalizing it. As an alternative, a weighted average method can be used to give different weights to different pollutants according to their environmental risks and toxicity, and then calculate the weighted degree of pollution.

[0082] In some embodiments, by comparing the pollution indicators and pollution indicator values ​​of different standard soil samples, a multivariate multi-coefficient model is established to obtain a regression equation by performing a nonlinear polynomial fitting on the pollution indicators of the standard soil samples and their pollution types and pollution levels to cover the pollution types and pollution levels; then, the pollution type and pollution level information of the standard soil samples is converted into a code and input into a statistical software to calculate each coefficient; wherein the nonlinear polynomial fitting formula is:

[0083]

[0084] Among them, y i is the pollution index of species i; b0 to b8 are the coefficients obtained after fitting; x1 to x5 are the quantitative values ​​of each pollution type and pollution degree, ln represents the natural logarithm, and e represents the natural constant.

[0085] It should be noted that this sentence describes a calculation method for determining the degree of contamination of pollutants in soil samples without standards. The pollution index data involved here refers to the numerical value of the concentration or content of the pollutant obtained through analysis, while the response value data refers to the signal or reading generated by these pollutants under a specific detection method.

[0086] Specifically, the process of calculating the degree of contamination of pollutants in soil samples without standards includes the following steps: First, collect the pollution index data and response value data of each pollutant in the soil sample to be tested. The pollution index data may include heavy metal content, organic pollutant concentration, etc., while the response value data may be the signal intensity generated by these pollutants under a specific detection method. Then, multiply these data to obtain the degree of contamination of each pollutant. For example, if the lead content in a soil sample is 100 mg / kg and its response value is 5, then the degree of lead contamination is 500.

[0087] Preferably, the operation steps for calculating the degree of pollution can be further refined as follows: In actual operation, electronic spreadsheet software such as Microsoft Excel can be used to process these data. First, two columns are created in Excel, one column is used to record the pollution index data of each pollutant, and the other column is used to record the corresponding response value data. Then, the degree of pollution of each pollutant can be calculated by using the formula = A2 * B2 in the third column, where A2 is the pollution index data and B2 is the response value data. In this way, for each pollutant, a quantitative value of the degree of pollution can be obtained.

[0088] Furthermore, in order to more accurately assess the degree of pollution, the environmental risk and toxicity of pollutants can also be considered, given different weights, and then the weighted pollution degree can be calculated. For example, if the environmental risk of lead is higher, a higher weight can be given, such as 2 times, then the weighted pollution degree of lead is 1000. This method can more comprehensively reflect the pollution status of soil samples and provide more valuable information for soil remediation and environmental management.

[0089] In some embodiments, the plurality of standard soil samples screened to cover different pollution types are mixed standard soil solutions or soil samples with a soil purity greater than 95%, including heavy metal contaminated soil, organic pollutant soil, and soil with low microbial activity.

[0090] It should be noted that this sentence describes how to screen soil samples for establishing a standard soil sample information library. The mixed standard soil solution and soil samples with a soil purity greater than 95% mentioned here refer to soil samples used to simulate or represent different types of pollution. They can be actual contaminated soils or artificially prepared simulated contaminated soils. Soil purity refers to the concentration or content of target components in soil samples, such as heavy metals or organic pollutants. A purity greater than 95% means that these components dominate the soil sample.

[0091] Specifically, the process of screening a variety of standard soil samples covering different types of pollution includes the following steps: First, determine the type of pollution that needs to be simulated, such as heavy metal pollution, organic pollutant pollution, and soil with low microbial activity. Then, according to these types of pollution, select or prepare the corresponding soil samples. For example, heavy metal contaminated soil samples can be prepared by adding known amounts of heavy metal elements, organic pollutant soil samples can be prepared by adding specific organic compounds, and soil samples with low microbial activity may need to be prepared by sterilization or adding chemicals that inhibit microbial activity.

[0092] Preferably, the operation steps for screening standard soil samples can be further refined as follows: When selecting or preparing soil samples, the following methods can be used to ensure the representativeness and applicability of the samples. For heavy metal contaminated soil, slag or industrial waste containing specific heavy metal elements can be selected, and their content can be confirmed by chemical analysis. For soil with organic pollutants, common organic pollutants such as polycyclic aromatic hydrocarbons PAHs or polychlorinated biphenyls PCBs can be selected, and samples of different concentrations can be prepared according to environmental standards. For soils with low microbial activity, physical or chemical methods can be used to inhibit microbial activity, such as high temperature sterilization or the addition of bactericides.

[0093] Furthermore, to ensure the quality and consistency of the samples, quality control tests such as particle size distribution, pH and moisture content can be performed on each sample. As an alternative, other types of soil matrices or additives can be selected to suit different analytical purposes and sample characteristics according to the specific needs of the experiment.

[0094] The above-mentioned embodiments of the present invention have the following beneficial effects: the statistical method of the regeneration efficiency of contaminated soil of the present invention can provide a standardized and systematic evaluation method, and by establishing a standard soil sample information library and a multivariate multi-coefficient model, the evaluation of the contamination degree and regeneration efficiency of soil samples of different contamination types becomes more accurate. This method can ensure that the analysis results obtained in different laboratories and under different conditions are consistent and comparable, thereby improving the accuracy and reliability of soil contamination assessment.

[0095] In addition, this method can comprehensively cover and analyze various types of pollution, including heavy metals, organic pollutants, and microbial activity, by using specific soil pollution analysis instrument parameters and nonlinear polynomial fitting. This method can effectively deal with the complex situation of mixed pollution of multiple pollutants, provide more accurate data support for soil pollution control and environmental remediation, and thus help to formulate more effective soil regeneration strategies. Through this method, the regeneration efficiency of soil can be evaluated more scientifically, providing important technical support for environmental protection and sustainable development.

[0096] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0097] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A statistical method for the regeneration efficiency of contaminated soil, characterized in that: The following steps are involved: Screening a variety of standard soil samples covering different pollution types to establish a standard soil sample information library, and analyzing the standard soil samples under set parameters, by comparing the pollution indicators of different standard soil samples and the response values ​​under a specific detection method, establishing a multivariate multi-coefficient model under a specific detection method to obtain a regression equation; The soil sample to be tested is tested under the analysis setting parameters of the standard soil sample to obtain the response data of the pollutants in the non-standard soil sample under a specific detection method; the pollution index and response value of the pollutants in the non-standard soil sample are calculated respectively by using the regression equation and the relevant statistical formula; The pollution index data of the non-standard soil sample pollutants and the response value data are used to calculate the pollution degree of the non-standard soil sample pollutants; and the regeneration efficiency is calculated based on the pollution degree of the non-standard soil sample pollutants, the response data and their pollution characteristics.

2. The method according to claim 1, characterized in that The method for obtaining the value of the pollution index of the standard soil sample is: obtaining the pollution index of each of the standard soil samples under a specific detection method; The response value of the standard soil sample is calculated using the relevant statistical formula; the ratio of the pollution index of the standard soil sample to its response value is the value of the pollution index of the standard soil sample.

3. The method according to claim 1, characterized in that: The pollution indicators of the different standard soil samples are heavy metal content, organic pollutant concentration and microbial activity.

4. The method according to claim 1, characterized in that: The method for analyzing the standard soil sample under set parameters is: preparing the standard soil sample into mixed samples with different gradient pollution degrees using a standardized treatment method, setting the parameters of a soil pollution analysis instrument, and performing analysis.

5. The method according to claim 4, characterized in that The standard soil samples were prepared using a standardized treatment method. Mixed samples with low, medium and high pollution are prepared into standard samples with different pollution levels.

6. The method according to claim 1, characterized in that The parameters of the soil pollution analysis instrument are as follows: the initial temperature is 25℃ for 3min, then raised to 75℃ at 2℃ / min and kept for 5min; the injection flow rate is a constant flow of 0.5mL / min; the modulation cycle is 2s, including 0.5s for hot spray and 1.5s for cold spray; the transmission line and detector temperatures are 300℃ and 200℃ respectively; The acquisition voltage was 1000 V and the scanning mass number was 10-500.

7. The method according to claim 1, characterized in that The method for calculating the pollution index of the pollutants in the non-standard soil sample using the regression equation is: arranging the pollutants in the non-standard soil sample measured in the soil sample to be tested according to the number of pollution types and pollution degrees, and using the regression equation to calculate the pollution index of each pollutant in the non-standard soil sample.

8. The method according to any one of claims 1 to 5, characterized in that: The pollution index data of the pollutants in the non-standard soil sample are multiplied by the response value data to calculate the pollution degree of each pollutant in the non-standard soil sample.

9. The method according to claim 3, characterized in that: By comparing the pollution indexes and pollution index values ​​of different standard soil samples, a multivariate multi-coefficient model is established to obtain a regression equation by performing nonlinear polynomial fitting on the pollution indexes of the standard soil samples and their pollution types and pollution degrees to cover the pollution type and pollution degree range; then, the pollution type and pollution degree information of the standard soil samples is converted into codes and input into statistical software to calculate the coefficients; wherein the nonlinear polynomial fitting formula is: Among them, y i is the pollution index of species i; b0 to b8 are the coefficients obtained after fitting; x1 to x5 are the quantitative values ​​of each pollution type and pollution degree, ln represents the natural logarithm, and e represents the natural constant.

10. The method according to claim 1, characterized in that The standard soil samples screened to cover different pollution types are mixed standard soil solutions or soil samples with a soil purity greater than 95%, including heavy metal contaminated soil, organic pollutant soil, and soil with low microbial activity.

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