Sampling and detection method and device for soil remediation

Abstract

The application relates to the technical field of soil remediation sampling detection, in particular to a sampling detection method and device for soil remediation, which specifically comprises the following steps: calculating the desorption effect deviation of gas in soil based on the difference between the heating temperature of inert gas and the initial soil temperature and the cumulative difference between the soil temperature in the thermal desorption process and the heating temperature; calculating the peak shape distortion coefficient of each chromatographic peak based on the symmetry of each chromatographic peak in a gas chromatogram; and correcting the area of each chromatographic peak in combination with the fluctuation of air pressure data, so as to avoid the problem that the determination of the mixed gas concentration component is directly based on the chromatographic peak area in the gas chromatogram in the traditional mode, the deviation between the detection result and the actual condition may exist, and the gas detection precision is improved when the gas in the soil is detected, and the accurate collection of various pollution data in the soil remediation process is facilitated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of soil remediation sampling and detection, in particular to a sampling and detection method and device for soil remediation. BACKGROUND

[0002] Soil remediation is performed on contaminated soil, that is, by using physical, chemical and biological methods, through the pathways of transfer, absorption, degradation and transformation to reduce the content of pollutants in the soil, so as to achieve the effect of soil remediation. In the present soil remediation process, it is basically divided into in-situ remediation and ex-situ remediation, regardless of which remediation method needs to detect the remediation effect of the soil. The soil remediation sampling mainly uses manual hole digging sampling, which has a long detection period and low efficiency.

[0003] In the traditional soil gas detection method, the collected gas is directly transmitted to the detection device, ignoring the influence of the difference in stratum environment change on the detection. In the actual measurement process, due to the soil geological conditions and environmental change difference, there will be differences in the thermal desorption of the soil, and waveform distortion will appear in the chromatogram, which will cause the traditional measurement method to deviate from the actual content of the volatile organic gas in the remediated soil, and reduce the detection accuracy of the soil remediation effect. SUMMARY

[0004] In order to solve the above technical problems, the purpose of the present application is to provide a sampling and detection method and device for soil remediation, and the technical scheme adopted is as follows:

[0005] In the first aspect, the present application provides a sampling and detection method for soil remediation, which comprises the following steps:

[0006] The volatile organic gas of the remediated soil is obtained by thermal desorption in the sampling pipeline, and the gas chromatogram, the temperature data of the soil at each time and the gas pressure data in the sampling pipeline are obtained;

[0007] The heating temperature of the inert gas used for thermal desorption is obtained, and the desorption effect deviation of the gas in the soil is calculated based on the difference between the heating temperature of the inert gas and the initial soil temperature, and the cumulative difference between the soil temperature and the heating temperature during the thermal desorption process;

[0008] The peak shape distortion coefficient of each chromatographic peak in the gas chromatogram is calculated based on the symmetry of each chromatographic peak;

[0009] Based on the desorption effect deviation and the peak shape distortion coefficient, the area of each chromatographic peak is corrected in combination with the fluctuation of the gas pressure data;

[0010] The gas group classification and concentration detection in the soil are performed by the corrected chromatographic peak area and the position of each chromatographic peak in the chromatogram in combination with the external standard method.

[0011] In one embodiment, the process of obtaining the desorption effect deviation of the gas in the soil is as follows:

[0012] Let the desorption effect deviation of the gas in the soil be A, and the expression of A is as follows:

[0013] , wherein, represents the temperature difference between the heating temperature of the inert gas and the initial soil temperature; and respectively represent the initial time and the end time of the thermal desorption process; represents the heating temperature of the inert gas; represents the fitting function of the soil temperature with respect to time; is a normalized function.

[0014] In one embodiment, the fitting function of the soil temperature with respect to time is a fitting function obtained by fitting all temperature data through a curve fitting algorithm.

[0015] In one embodiment, the process of obtaining the peak shape distortion coefficient of each chromatographic peak is as follows:

[0016] The peak interval and the peak point of each chromatographic peak in the gas chromatogram are obtained, the similarity between the data on the left and right sides of the peak point in each peak interval is calculated and denoted as the first similarity, and the peak shape distortion coefficient of the chromatographic peak is calculated based on the first similarity and the difference in signal intensity on the left and right sides of the peak point in the peak interval.

[0017] In one embodiment, the process of obtaining the peak interval and the peak point of each chromatographic peak is as follows:

[0018] The baseline in the gas chromatogram is obtained through the moving average method, the peak points in the gas chromatogram are obtained using a peak value detection algorithm, and the peak interval of the chromatographic peak is determined based on the peak point and the baseline.

[0019] In one embodiment, the process of obtaining the peak interval is as follows:

[0020] The point on the left side of the first baseline of each peak point is taken as the left edge point of the corresponding peak interval, the point on the right side of the first baseline of each peak point is taken as the right edge point of the corresponding peak interval, and the peak interval of the chromatographic peak in which each peak point is located is obtained.

[0021] In one embodiment, the process of obtaining the first similarity is as follows: the absolute value of the Pearson correlation coefficient between the data sequence on the left side of the peak point and the data sequence on the right side of the peak point in the peak interval.

[0022] In one embodiment, the peak shape distortion coefficient of the chromatographic peak is expressed as:

[0023]

[0024] wherein, represents the peak shape distortion coefficient of the jth chromatographic peak, represents the first similarity of the jth chromatographic peak, is a preset minimum positive number, represents the minimum value between the number of data points on the left and the number of data points on the right of the peak value point of the jth chromatographic peak, and respectively represent the signal intensity of the ith data point on the left and the ith data point on the right of the peak value point of the jth chromatographic peak, is a Sigmoid function.

[0025] In one embodiment, the area of each chromatographic peak is corrected, and the expression is as follows:

[0026]

[0027] wherein, is the corrected area of the jth chromatographic peak; is the uncorrected area of the jth chromatographic peak; represents a preset scaling coefficient; A represents the deviation of the desorption effect of the gas in the soil; represents the peak shape distortion coefficient of the jth chromatographic peak; represents the variance of all the pressure data in the time window corresponding to the jth chromatographic peak; represents a normalization function.

[0028] In a second aspect, the embodiments of the present application also provide a sampling and detection device for soil remediation, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the method according to any one of the above embodiments when executing the computer program.

[0029] The embodiments of the present application have at least the following beneficial effects:

[0030] Compared with the traditional batch sampling fixed inspection mode, the scheme can realize automatic sampling and dynamic detection, greatly improving the sampling and detection efficiency of soil remediation; based on the difference between the heating temperature of the inert gas and the initial soil temperature, and the cumulative difference between the soil temperature and the heating temperature during thermal desorption, the desorption effect deviation of the gas in the soil is calculated, the soil temperature diffusion is analyzed, and the problem that the organic gas volatility is poor during the thermal desorption process, resulting in inaccurate gas detection results is avoided; based on the symmetry of each chromatographic peak in the gas chromatogram, the peak shape distortion coefficient of each chromatographic peak is calculated, and the influence of gas chromatogram data distortion on the measurement result is analyzed; combined with the fluctuation of air pressure data, the area of each chromatographic peak is corrected, avoiding the problem that the traditional method directly determines the concentration of the mixed gas based on the area of the chromatographic peak in the gas chromatogram, resulting in deviation between the detection result and the actual condition, and then improving the gas detection precision during the gas detection in the soil, and facilitating accurate collection of various pollution data in the soil remediation process. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0032] Figure 1 The step flow chart of the sampling and detection method for soil remediation provided by an embodiment of the present application is shown in the figure.

[0033] Figure 2 The schematic diagram for obtaining the peak shape distortion coefficient is shown in the figure. DETAILED DESCRIPTION

[0034] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the specific embodiments, structure, features and effects of the sampling and detection method and sampling and detection device for soil remediation according to the present application are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0036] The application provides a sampling and detection method and device for soil remediation.

[0037] Please refer to Figure 1 which shows a step flow chart of the sampling and detection method for soil remediation provided by an embodiment of the application, and the method comprises the following steps.

[0038] In step S1, volatile organic gases in the remediated soil are obtained by thermal desorption in a sampling pipeline, and a gas chromatogram of the gases, temperature data of the soil at each time point, and air pressure data in the sampling pipeline are obtained.

[0039] The application uses an environmental protection robot that can be used for gas detection in soil to perform sampling and detection. The robot can drill the sampling module into the soil layer, and the volatile organic gases in the soil layer can permeate into the sampling pipeline of the sampling module. The collected gases in the sampling pipeline can be transmitted to the detection module for gas chromatography analysis through the blowing of heated inert gas, and the thermal desorption principle is used to realize sampling of the volatile gases in the soil. The sampling module and the detection module are known technologies, and the specific process is not described here.

[0040] During drilling, there may be differences in environmental changes in the remediated soil, which may cause deviations in the measurement of the volatile organic gases in the soil. In order to obtain the difference information of the soil, a temperature sensor is arranged at the top of the sampling module to collect the temperature data of the soil at each time point, and an air pressure sensor is arranged in the sampling pipeline to collect the air pressure data in the sampling pipeline at each time point.

[0041] In the embodiment of the application, a gas chromatograph is used to detect the volatile organic gases in the soil. When the chromatograph is used to analyze the gas data, the chromatographic conditions are set as follows: the carrier gas is inert gas with high purity (99.99%), which is consistent with the sweeping inert gas, the flow rate is set to 0.2 ml / min; the temperature of the valve is set to 50℃; the desorption temperature of the adsorption tube is 300℃; the temperature of the gas chromatography interface and the sample inlet is 150℃; the ratio is set to 100:1 respectively; the color column temperature setting is 50℃ for 1 min; the temperature is raised to 90℃ at a rate of 20℃ / min, and then raised to 220℃ at a rate of 65℃ / min and kept for 1 min; and the retention time of the entire gas chromatograph is 30-40 min, which is consistent with the thermal desorption time. As other embodiments of the application, the implementer can use other methods to detect the volatile organic gases in the soil according to the actual situation.

[0042] In the gas chromatogram obtained by the gas chromatograph, the abscissa represents time, and the ordinate represents signal intensity in mV. In the thermal desorption process of the repaired soil, the sampling gas contains a mixed gas composed of inert gas and volatile organic gas pollutants, which refers to alkanes, aromatic hydrocarbons, alkenes, halogenated hydrocarbons, esters, aldehydes, ketones and the like. According to the different interactions between the mixed gas and the stationary phase in the gas chromatograph, the moving speed of different gases on the chromatographic column is different, so different retention times are generated. However, in the chromatogram, each gas will present a chromatographic peak, and the higher the content of the gas, the higher the corresponding chromatographic peak.

[0043] In step S2, the heating temperature of the inert gas for thermal desorption is obtained; based on the difference between the heating temperature of the inert gas and the initial soil temperature, and the cumulative difference between the soil temperature and the heating temperature during the thermal desorption process, the desorption effect deviation of the gas in the soil is calculated.

[0044] In the traditional detection method, the content of a single volatile organic gas is obtained by comparing the standard with the detected chromatographic peak area. In the actual measurement process, due to the differences in soil geological conditions and environmental changes, there will be differences in the thermal desorption of soil, and waveform distortion will occur in the chromatogram, which will cause the deviation between the traditional measurement method and the actual content of the volatile organic gas in the repaired soil, and reduce the detection accuracy of the soil repair effect.

[0045] The geological condition of the soil in the thermal desorption process is a key influencing factor of the thermal desorption. In the thermal desorption process, the temperature of the soil layer contacted by the membrane interface probe is gradually increased by sweeping and blowing high-temperature inert gas, which causes the volatile organic gas adsorbed by the soil particles to become free state, which can pass through the semi-permeable membrane of the membrane interface probe and be collected by the sampling device. Therefore, when the soil is passively heated to the temperature of the high-temperature inert gas, the thermal desorption effect is best.

[0046] However, in the actual process, due to the influence of the initial geological temperature and temperature diffusion of the soil, the volatile organic gas in the soil has poor volatility during the thermal desorption process, which deviates from the actual content of the volatile gas in the soil. Therefore, based on the entire thermal desorption process, the higher the initial temperature of the soil, the more conducive to the thermal desorption and volatilization of the gas in the soil. In addition, the faster the soil is heated, the better the temperature transfer effect in the soil, so that more organic gas in the soil layer contacted by the membrane interface probe is desorbed from the soil particles.

[0047] Therefore, the desorption effect evaluation is constructed based on the above analysis, and the expression is:

[0048] In the formula, A represents the desorption effect deviation of the gas in the soil at the current sampling point position; represents the temperature difference between the temperature of the heated inert gas and the soil temperature at the initial time, the heating temperature of the inert gas is generally 110℃-120℃, and in the embodiment of the present application, the heating temperature of the inert gas is set to 120℃; and respectively represent the initial time and the end time of the thermal desorption process, the time unit is minute; represents the set heating temperature of the inert gas; represents the fitting function of the soil temperature with respect to time; is a normalized function. In the embodiment of the present application, the unit of all kinds of temperature data is Celsius. The normalized function used in the present application is a Sigmoid function. It can be understood that the normalized function represents only the value, without the unit of the respective variables in the formula, for example, for When normalized, it is assumed that the value of is 100℃, then the value 100 is brought into the Sigmoid function for calculation, and the calculation result 1.000 is obtained by rounding off to the nearest integer when the calculation result is kept to three decimal places, which is the result of , which is only a value without unit. The calculation result of is the same, which is only a value without unit. It should be noted that there are many existing normalization methods, and the implementer can also use other normalization methods for normalization, which is not specifically limited in the present application.

[0049] The fitting function of the soil temperature with respect to time can be obtained by: obtaining the time sequence of the soil temperature data collected by the temperature sensor, fitting the time sequence by the least square method, and taking the obtained fitting function as the fitting function of the soil temperature with respect to time. The least square method is a known technology, and the specific process is not described again. It should be noted that for the curve fitting of the soil temperature time sequence, the present application only provides one curve fitting method, and there are many existing curve fitting methods, and the implementer can also use other curve fitting methods to curve fit the soil temperature time sequence, which is not specifically limited in the present application.

[0050] The higher the initial temperature of the soil is, the lower the temperature difference with the inert gas is, and the faster the soil temperature rises, the better the soil desorption effect is, and the smaller the desorption effect deviation is.

[0051] In step S3, the peak shape distortion coefficient of each chromatographic peak is calculated based on the symmetry of each chromatographic peak in the gas chromatogram.

[0052] When detecting the volatile organic gas sampled from the soil for repair by gas chromatography, the detection is prone to external environmental interference due to being performed on the mobile detection platform of the soil repair sampling detection device, leading to distortion of the collected gas chromatogram and deviation from the repair effect of the soil.

[0053] Ideally, each gas corresponds to a single sharp chromatographic peak in the gas chromatogram of the mixed gas sampled, and the chromatographic peak is basically symmetrically distributed. When the chromatographic peak data is distorted due to environmental interference, peak tailing or peak extension may occur. When the chromatographic peak is distorted, there are some false areas, which affect the measurement of the concentration of the single gas corresponding to the chromatographic peak in the sampled mixed gas.

[0054] In the gas chromatogram of the mixed gas, a plurality of chromatographic peaks (corresponding to each gas component in the mixed gas) and baseline information are included, and the plurality of chromatographic peaks are divided by the baseline segments. Therefore, the baseline in the chromatogram is first obtained according to the data in the gas chromatogram. The baseline in the chromatogram is obtained by the moving average method in this application. At the same time, the peak value detection algorithm is used for the data in the gas chromatogram to obtain each peak value point in the gas chromatogram. The point on the left side of each peak value point on the first baseline is taken as the left edge point of the corresponding peak interval, and the point on the right side of each peak value point on the first baseline is taken as the right edge point of the corresponding peak interval, so as to obtain the peak interval of the chromatographic peak where each peak value point is located. If two peaks are connected, i.e. there is no point on the baseline between the two peaks, the minimum point between the two peak value points is taken as the dividing point of the two peak intervals. It should be noted that for the acquisition of the peak interval, this application only provides one way of obtaining the peak interval, and there are many existing methods for obtaining the peak interval, and the implementer can also use other ways to obtain the peak interval, which is not limited in this application.

[0055] The process of obtaining the baseline by the moving average method and the peak value detection algorithm are both known technologies, and the specific process is not described again. It should be noted that for the acquisition of the baseline and the peak value point, this application only provides one way of obtaining, and there are many existing ways of obtaining the baseline and the peak value point, and the implementer can also use other corresponding algorithms to obtain the baseline and the peak value point, which is not limited in this application.

[0056] For a single chromatographic peak, the absolute value of the Pearson correlation coefficient between the data sequence on the left side of the peak value point and the data sequence on the right side of the peak value point is calculated as the similarity between the data on the left side and the right side of the peak value point, which is recorded as the first similarity. The Pearson correlation coefficient is a known technology, and the specific process is not described again.

[0057] It is understood that this application only provides one similarity calculation method for calculating the first similarity. There are many existing methods for calculating similarity, and implementers may also use other similarity algorithms to calculate the first similarity. This application does not impose any specific restrictions. It should be noted that if the lengths of the data on the left and right sides of the similarity metric are inconsistent, the processing method is to use linear interpolation to fill the data on the side with the smaller number before performing the similarity calculation.

[0058] Based on the above analysis, the peak distortion coefficient of a single chromatographic peak is constructed, and the expression is:

[0059]

[0060] Where, Indicates the peak distortion coefficient of the jth chromatographic peak in the gas chromatogram of the mixed gas collected at the current sampling point. represents the first similarity of the j-th chromatographic peak, is a preset minimum positive number, Indicates the minimum value between the number of data on the left and the number of data on the right of the j-th chromatographic peak point. and They represent the signal intensities of the i-th data point on the left and the i-th data point on the right of the j-th chromatographic peak, respectively. is a Sigmoid function, where the time interval from the i-th data point on the left side of the peak point to the i-th data point on the right side of the peak point to the peak point is equal. The role of is to prevent the denominator from being 0. Preferably, in the embodiment of the present application, The value of is set to 0.01. As other embodiments of the present application, the implementer can set it according to the actual situation. Among them, the signal strength unit of the data point is millivolt (mV). It can be understood that the Sigmoid function represents only the numerical value and does not contain the units of the respective variables in the formula. For example, assuming The calculated result is 5mV, then the value 5 is substituted into the Sigmoid function for calculation. When the calculated result is rounded to three decimal places, the calculated result is 0.993. This result is only a numerical value and has no unit. It should be noted that there are many existing normalization methods, and the implementer may also use other normalization methods for normalization, and this application does not make specific restrictions.

[0061] The less interference the current chromatographic peak is subject to, the higher the symmetry of the chromatographic peak will be. Therefore, the data similarity corresponding to the current chromatographic peak being divided into the left and right sides by the peak point will be higher. At the same time, the difference in signal intensity at the position points on the left and right sides that are symmetrical in distance with respect to the peak point will be smaller, thereby obtaining smaller difference in peak shape distortion.

[0062] Step S4: correcting the area of ​​each chromatographic peak based on the desorption effect deviation and the peak distortion coefficient in combination with the fluctuation of the gas pressure data.

[0063] When calculating gas concentration based on chromatographic peaks, the main basis is the area of ​​the chromatographic peaks. Therefore, it is necessary to correct the area of ​​the chromatographic peaks according to the external environment and the distortion of the chromatographic peaks, and build a component correction model. The area of ​​each chromatographic peak after correction is:

[0064]

[0065] Where, is the corrected area of ​​the jth chromatographic peak; is the pre-corrected area of ​​the jth chromatographic peak; Indicates the preset scaling factor. Preferably, in the embodiment of the present application, The value of is set to 1.5; A represents the desorption effect deviation of the gas in the soil at the current sampling point; represents the peak distortion coefficient of the jth chromatographic peak; Represents the variance of all gas pressure data corresponding to the time window occupied by the jth chromatographic peak; Represents the normalization function. Wherein, the acquisition of the area of ​​the chromatographic peak before correction is a well-known technology, and the specific process is not repeated here. The function is: because the normalized value is between 0 and 1, if the normalized value is used directly, the area of ​​the chromatographic peak can only be reduced. The scaling factor is used to avoid Issues with scaling correction. The value range of is 1~2. As other embodiments of this application, the implementer can set it according to the actual situation. The unit of the area of ​​the chromatographic peak is mV·s. The normalization function used in this application is the maximum-minimum normalization method. It can be understood that the normalization function represents only the numerical value and does not contain the units of the respective variables in the formula. For example, assuming that the area of ​​the jth chromatographic peak at the current sampling point is The value of is 5, and the corresponding calculated values ​​of other chromatographic peaks at other sampling points are 2, 2, 3, 3, 4, and 6 respectively. Then the set {2, 2, 3, 3, 4, 6, 5} is used as the input of the maximum-minimum normalization method for normalization. The normalized value of the value 5 is 0.75, which is The result is only a numerical value without a unit. It should be noted that there are many existing normalization methods, and the implementer may also use other normalization methods for normalization, and this application does not make specific restrictions.

[0066] In the component correction model, firstly, the geological conditions in the environment are considered. If the current soil geological conditions are worse, the desorption effect of volatile organic gases in the soil is likely to be poor, and the sampling mixed gas concentration is smaller than the actual soil conditions. At the same time, the shape distribution of a single chromatographic peak is considered. If the distortion of the chromatographic peak is more serious, it indicates that the interference is greater. At this time, the waveform may exhibit phenomena such as front or tailing, so that the measured peak area is larger than the actual situation. In addition, the gas pressure in the sampling pipeline in the time period corresponding to the chromatographic peak is combined. Since the sampling pipeline is directly related to the chromatograph, if the gas pressure fluctuates, it will affect the distribution of the chromatographic peak, which may further cause the chromatographic peak to appear distorted.

[0067] Based on the above analysis, a component correction model is constructed to correct the peak area of each chromatographic peak, so that the chromatographic peak area of each chromatographic peak approaches the actual situation of the soil, facilitating accurate collection of various pollution data in the soil remediation process.

[0068] In step S5, the component classification and concentration of the gases in the soil are detected by combining the corrected chromatographic peak area and the position of each chromatographic peak in the chromatogram with the external standard method.

[0069] By obtaining the near-real chromatographic peak area of each component in the mixed gas at the sampling point, the external standard method is used to obtain the component classification and concentration information of each gas in the soil at the current sampling point in the present scheme. Specifically, under the same chromatographic conditions as the measured gas, the chromatograms of standard gas samples with different concentrations are measured, and the chromatogram data of all standard gas samples at all concentrations are combined to form a database. The peak area of the standard single-component gas with a known concentration under the same conditions is obtained from the database, and is quantified. The concentration of the component corresponding to the chromatographic peak is obtained by combining the corrected chromatographic peak area and the calibration peak area. At the same time, the position of the sampling chromatographic peak is combined to determine the category of the volatile gas by comparing the position of the standard gas in the chromatogram. The external standard method is a known technology, and the specific process is not described again.

[0070] Thus, based on the sampling detection analysis, the component classification and concentration information of each volatile organic gas in the remediated soil at the current sampling point are obtained.

[0071] The acquisition process of the peak shape distortion coefficient is shown in the schematic diagram of Figure 2 .

[0072] Based on the same inventive concept as the above method, the embodiments of the present application also provide a sampling detection device for soil remediation, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the methods for soil remediation described above are implemented.

[0073] In summary, the embodiment of the present application provides a sampling and detection method for soil remediation. Compared with the traditional batch sampling and fixed detection method, the present application can realize automatic sampling and dynamic detection, greatly improving the sampling and detection efficiency of soil remediation. Based on the difference between the heating temperature of inert gas and the initial soil temperature, and the cumulative difference between the soil temperature and the heating temperature during thermal desorption, the desorption effect deviation of gas in soil is calculated. By analyzing the soil temperature diffusion, the problem of inaccurate gas detection results caused by poor organic gas volatility during thermal desorption is avoided. Based on the symmetry of each chromatographic peak in the gas chromatogram, the peak shape distortion coefficient of each chromatographic peak is calculated, and the influence of gas chromatography data distortion on the measurement result is analyzed. Combined with the fluctuation of air pressure data, the area of each chromatographic peak is corrected, avoiding the problem that the traditional method directly determines the concentration component of mixed gas based on the chromatographic peak area in the gas chromatogram, which may cause deviation between the detection result and the actual condition. Therefore, when detecting the gas in soil, the gas detection precision is improved, and the accurate collection of various pollution data in the soil remediation process is facilitated.

[0074] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the above describes the specific embodiments of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or may be advantageous.

[0075] Each embodiment in the present application is described in a progressive manner, and the same or similar parts between each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments.

[0076] The above only describes the preferred embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for sampling and testing for soil remediation, characterized in that, The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: wherein denotes the temperature difference between the heating temperature of the inert gas and the initial soil temperature; and denote the initial and the end time of the thermal desorption process, respectively; denotes the heating temperature of the inert gas; denotes the fitting function of the soil temperature with respect to time; is a normalization function; The method comprises the following steps: In the formula, a peak shape distortion coefficient of the jth chromatographic peak, the first similarity of the jth chromatographic peak, a preset minimum positive number, a minimum value of the number of data points on the left and the number of data points on the right of the peak value point of the jth chromatographic peak, and respectively represent the signal intensity of the ith data point on the left and the ith data point on the right of the peak value point of the jth chromatographic peak, a Sigmoid function; The method comprises the following steps: In the formula, is the corrected area of the jth chromatographic peak; is the uncorrected area of the jth chromatographic peak; represents a preset scaling factor; A represents the desorption effect deviation of the gas in the soil; represents the peak shape distortion coefficient of the jth chromatographic peak; represents the variance of all the corresponding gas pressure data in the time window occupied by the jth chromatographic peak; represents a normalization function.

2. The method for soil remediation according to claim 1, wherein, The method comprises the following steps:

3. The method for soil remediation according to claim 1, wherein, The method comprises the following steps: The method comprises the following steps:

4. The method for soil remediation according to claim 1, wherein The method comprises the following steps: The method comprises the following steps:

5. The method for soil remediation according to claim 4, wherein, The method comprises the following steps: The method comprises the following steps:

6. The method for soil remediation of claim 1, wherein, The method comprises the following steps:

7. 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