An in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste

Abstract

The present invention discloses an in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste, comprising the following steps: S1, dividing identification units; S2, laying out sampling points; S3, determining the number of samples; S4, screening the types of solid waste. The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste of the present invention has made pioneering innovations in the technical level of solid waste identification, and has obtained a complete set of in-situ identification sampling methods for illegally landfilled solid waste, filling the gap in technical methods for in-situ sampling of buried solid waste in current technical guidelines, and effectively guiding researchers on how to arrange points to collect typical samples when conducting in-situ identification of illegally landfilled solid waste, laying a foundation for improving the scientific nature of identification conclusions.

Description

Technical Field

[0001] The invention relates to the technical field of soil identification and sampling layout, and in particular to an in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste. Background Art

[0002] In the process of identifying landfill solid waste, if the collected samples cannot accurately reflect its hazardous characteristics, that is, the samples are not representative, it will cause management decision makers to make wrong judgments, bring potential environmental risks in utilization and disposal, and cause immeasurable harm to the ecological environment and human health. Therefore, in order to accurately evaluate the hazardous characteristics of illegally landfilled solid waste, it is crucial to collect highly representative samples, and representative samples must be obtained through appropriate sampling methods. At present, there are no standards for how to arrange sampling points and no basic guiding principles for the identification of illegally landfilled solid waste, resulting in a variety of actual identification sampling by different people. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention provides an in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste.

[0004] The technical solution of the present invention is:

[0005] An in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste comprises the following steps:

[0006] S1. Division of identification units: Use ground penetrating radar to investigate the boundaries and burial depth of the illegally landfilled solid waste area, determine the area, depth and tonnage of the illegally landfilled solid waste, and then divide it into small identification units, medium identification units, large identification units, and extra-large identification units according to the size of the illegally landfilled solid waste area;

[0007] S2. Arrange sampling points: Arrange sampling points in the identification unit by grid arrangement method according to the following arrangement principles: for small identification units, arrange the points in a grid according to the grid accuracy of 10m×10m; for medium-sized identification units, arrange the points in a grid according to the grid accuracy of 15m×15m; for large identification units, arrange the points in a grid according to the grid accuracy of 20m×20m; for extra-large identification units, arrange the points in a grid according to the grid accuracy of 30m×30m, and take each grid as a sampling point;

[0008] S3. Determine the number of samplings: After the sampling points are arranged, the number of sampling layers at each sampling point is determined according to the thickness of the illegal landfill solid waste layer at each sampling point in the identification unit. Each illegal landfill solid waste layer with a thickness of 0.5 to 1.5 m is regarded as a sampling layer. Each sampling layer is sampled once at each sampling point to collect samples of illegal landfill solid waste, and then the total number of samplings for the identification unit is determined;

[0009] S4. Screening of solid waste types: Classify all illegally landfilled solid waste samples collected, and count the pollution characteristics of illegally landfilled solid wastes in the identification unit. If the pollution characteristics of illegally landfilled solid wastes are similar, they are classified as the same type of solid waste. If the pollution characteristics of illegally landfilled solid wastes are not similar, they are classified as different types of solid wastes. Finally, x types of illegally landfilled solid wastes are obtained, and the number n of each type of illegally landfilled solid waste to be tested, as well as the total number of samples Q to be tested in the identification unit, are determined.

[0010] Furthermore, in step S2, a random point distribution method or a judged point distribution method is adopted when sampling each grid. The random point distribution method is to distribute the sampling points at any position in the grid, and the judged point distribution method is to distribute the points in the area with heavily polluted and illegally landfilled solid waste in the grid based on the subjective judgment of the degree of pollution at the grid site.

[0011] Furthermore, in step S1, the area is less than 1000m 2 The illegal landfill areas of solid waste are divided into small identification units;

[0012] The area is between 1000m 2 ~10000m 2 The illegal landfill solid waste areas are designated as medium-sized identification units;

[0013] The area is between 10000m 2 ~20000m 2 Illegal landfill areas of solid waste between the two areas are designated as large identification units;

[0014] Area greater than 20000m 2 The area where illegal solid waste is landfilled is designated as a super-large identification unit.

[0015] Furthermore, the judgment criteria for similar pollution characteristics in step S4 are: the colors of the illegally landfilled solid wastes are of the same color, the physical and chemical properties are the same, and the smells are similar.

[0016] Furthermore, the step S3 also includes encrypting the grid. After the sampling points are arranged, any two non-adjacent grids are randomly selected for sampling and the collected illegally landfilled solid waste samples are classified. If the pollution characteristics of the two illegally landfilled solid waste samples are similar, the grid accuracy remains unchanged. If the pollution characteristics of the illegally landfilled solid waste are not similar, the grid accuracy is improved by a gradient, that is: for small identification units, the grid points are arranged according to a grid accuracy of 5m×5m, for medium-sized identification units, the grid points are arranged according to a grid accuracy of 10m×10m, for large identification units, the grid points are arranged according to a grid accuracy of 15m×15m, and for extra-large identification units, the grid points are arranged according to a grid accuracy of 20m×20m. The judgment criteria for similar pollution characteristics are the same as in step S4.

[0017] Description: Improve sampling accuracy by refining the grid to target areas where contaminants are less likely to be present.

[0018] Furthermore, in step S3, the number of sampling points of the identification unit is at least M, the total number of sampling points of the identification unit is N, the relationship between the total number of sampling points N and the number of sampling points M is: N≤8M, and the value range of the number of sampling points y of each sampling point is: 1≤y≤8, thereby obtaining:

[0019]

[0020] Where N is the total number of samples of the identification unit; y k is the number of solid waste sampling at point k; M is the number of sampling points in the identification unit.

[0021] Furthermore, in step S4, the total number of samples Q submitted for inspection by the identification unit is expressed by the following formula:

[0022]

[0023] Where n i is the number of illegal landfill solid wastes sent for inspection of the i-th type; x is the number of illegal landfill solid wastes in the identification unit; here only solid wastes that meet the sample inspection requirements are included in the calculation of the number of types;

[0024] The mass of the i-th illegal landfill solid waste is q i , the number of sampling points corresponding to the sample of the i-th illegal landfill solid waste is at least m, m = n i / 4 and round down, the number of each type of illegal landfill solid waste sent for inspection n i And the method for determining m is:

[0025] When i When ≤500t, the number of inspections is n i=5, m=1, the number of sampling points corresponding to the sample to be tested is 1 to 5;

[0026] When 500<q i When ≤1000t, the number of inspections is n i =5~8, when the number of samples to be inspected is n i =8, m=2, and the number of sampling points corresponding to the samples to be inspected is 2 to 8;

[0027] When 1000<q i When ≤2000t, the number of inspections is n i =8~13, when the number of samples to be inspected is n i =13, m=3, and the number of sampling points corresponding to the samples to be inspected is 4 to 13;

[0028] When 2000<q i When ≤5000t, the number of inspections is n i =13~20, when the number of samples to be inspected is n i =20, m=5, and the number of sampling points corresponding to the samples to be inspected is 5 to 20;

[0029] When 5000<q i When ≤8000t, the number of inspections is n i =20~32, when the number of inspections is n i =32, m=8, and the number of sampling points corresponding to the samples to be inspected is 8 to 32;

[0030] When 8000<q i When ≤10000t, the number of inspections is n i =32~50, when the number of samples to be inspected is n i =50, m=12, and the number of sampling points corresponding to the samples to be inspected is 12 to 50;

[0031] When 10000<q i When ≤15000t, the number of inspections is n i =50~80, when the number of samples to be inspected is n i =80, m=20, and the number of sampling points corresponding to the samples to be inspected is 20 to 80;

[0032] When i >15000t, the number of inspections n i =80~100, when the number of samples to be inspected is n i When m=100, m=25, the number of sampling points corresponding to the samples to be inspected is 25 to 100.

[0033] Note: The specific number of samples to be inspected will be determined based on the quality of illegally landfilled solid waste. The number of sampling points will be optimized simultaneously and targeted adjustments will be made to improve the efficiency of inspection and testing, save costs, and improve detection accuracy.

[0034] Furthermore, when determining the number of samples to be inspected n i When the sampling number of the i-th type of illegally landfilled solid waste is less than 5, additional sampling is required at the corresponding point where the illegal landfilled solid waste is collected, so that the number of samples of this type of illegally landfilled solid waste is not less than 5.

[0035] The beneficial effects of the present invention are:

[0036] (1) The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste of the present invention has made pioneering innovations in the technical level of solid waste identification, and has obtained a complete set of in-situ identification sampling methods for illegally landfilled solid waste, filling the technical method gap of in-situ sampling of buried solid waste in the current technical guidelines, and effectively guiding researchers on how to collect typical samples when conducting in-situ identification of illegally landfilled solid waste, laying a foundation for improving the scientific nature of the identification conclusions.

[0037] (2) The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste of the present invention can achieve accurate identification and refined management at the management level. The identification conclusion provides a basis for law enforcement agencies to scientifically try suspects. At the same time, at the economic level, it reduces the cost of identifying and disposing of illegally landfilled solid waste and improves the economic efficiency of handling environmental pollution cases caused by illegally landfilled solid waste.

[0038] (3) The sampling number of the present invention not only meets the basic requirements of the current technical specifications, but is also not limited to the gradient regulations on the number of samples in the technical specifications. It brings stronger feasibility to the point layout and stratified sampling, takes into account both compliance and flexible operability, saves a lot of time and cost, can quickly and effectively control the environmental risks of pollution spread, and promote the efficient handling of environmental pollution cases caused by illegal landfill of solid waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The present invention is a flow chart of an in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste. DETAILED DESCRIPTION

[0040] Example 1

[0041] An in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste comprises the following steps:

[0042] S1. Division and identification unit: Use ground penetrating radar to investigate the boundary and burial depth of the illegal landfill of solid waste, determine the area, depth and tonnage of the illegal landfill of solid waste, and then divide it according to the size of the illegal landfill area;

[0043] The area is less than 1000m 2 The illegal landfill areas of solid waste are divided into small identification units;

[0044] The area is between 1000m 2 ~10000m 2 The illegal landfill solid waste areas are designated as medium-sized identification units;

[0045] The area is between 10000m 2 ~20000m 2 Illegal landfill areas of solid waste between the two areas are designated as large identification units;

[0046] Area greater than 20000m 2 The illegal landfill solid waste areas are designated as extra-large identification units;

[0047] S2. Arrange sampling points: Arrange sampling points in the identification unit by grid arrangement method according to the following arrangement principles: for small identification units, arrange the points in a grid according to the grid accuracy of 10m×10m; for medium-sized identification units, arrange the points in a grid according to the grid accuracy of 15m×15m; for large identification units, arrange the points in a grid according to the grid accuracy of 20m×20m; for extra-large identification units, arrange the points in a grid according to the grid accuracy of 30m×30m, and take each grid as a sampling point;

[0048] When sampling each grid, random point distribution method or judgment point distribution method is adopted. The random point distribution method is to distribute the sampling points at any position in the grid. The judgment point distribution method is to distribute the points in the area with heavy pollution and illegal landfill of solid waste in the grid according to the subjective judgment of the pollution degree of the grid site.

[0049] S3. Determine the number of samples: After the sampling points are arranged, encrypt the grid, randomly select any two non-adjacent grids for sampling, and classify the collected illegal landfill solid waste samples. If the pollution characteristics of the two illegal landfill solid waste samples are similar, the grid accuracy remains unchanged. If the pollution characteristics of the illegal landfill solid waste are not similar, the grid accuracy is increased by a gradient, that is, for small identification units, the grid points are arranged according to the grid accuracy of 5m×5m, for medium-sized identification units, the grid points are arranged according to the grid accuracy of 10m×10m, for large identification units, the grid points are arranged according to the grid accuracy of 15m×15m, and for extra-large identification units, the grid points are arranged according to the grid accuracy of 20m×20m. The judgment criteria for similar pollution characteristics are the same as in step S4;

[0050] The number of sampling layers at each sampling point is determined according to the thickness of the illegal landfill solid waste layer at each sampling point in the identification unit. Each 1m thick illegal landfill solid waste layer is regarded as a sampling layer. Each sampling layer is sampled once at each sampling point to collect illegal landfill solid waste samples. Then the total number of samplings in the identification unit is determined. The number of sampling points in the identification unit is at least M, and the total number of samplings in the identification unit is N. The relationship between the total number of samplings N and the number of sampling points M is: N≤8M. The value range of the number of samplings y at each sampling point is: 1≤y≤8, thus:

[0051]

[0052] Where N is the total number of samples of the identification unit; y k is the number of solid waste sampling at point k; M is the number of sampling points in the identification unit;

[0053] S4. Screening of solid waste types: Classify all illegally landfilled solid waste samples collected, and count the pollution characteristics of illegally landfilled solid wastes in the identification unit. If the pollution characteristics of illegally landfilled solid wastes are similar, they are classified as the same type of solid waste. If the pollution characteristics of illegally landfilled solid wastes are not similar, they are classified as different types of solid wastes. The judgment criteria for similar pollution characteristics are: the colors of illegally landfilled solid wastes are of the same color, the physical and chemical properties are the same, and the smells are similar. Finally, x types of illegally landfilled solid wastes are obtained, and the number of samples n to be inspected for each type of illegally landfilled solid waste is determined, as well as the total number of samples Q to be inspected for the identification unit;

[0054] The total number of samples Q submitted for identification unit is expressed by the following formula:

[0055]

[0056] Where n iis the number of illegal landfill solid wastes sent for inspection of the i-th type; x is the number of illegal landfill solid wastes in the identification unit; here only solid wastes that meet the sample inspection requirements are included in the calculation of the number of types;

[0057] The mass of the i-th illegal landfill solid waste is q i , the number of sampling points corresponding to the sample of the i-th illegal landfill solid waste is at least m, m = n i / 4 and round down, the number of each type of illegal landfill solid waste sent for inspection n i And the method for determining m is:

[0058] When i When ≤500t, the number of inspections is n i =5, m=1, the number of sampling points corresponding to the sample to be tested is 1 to 5;

[0059] When 500<q i When ≤1000t, the number of inspections is n i =5~8, when the number of samples to be inspected is n i =8, m=2, and the number of sampling points corresponding to the samples to be inspected is 2 to 8;

[0060] When 1000<q i When ≤2000t, the number of inspections is n i =8~13, when the number of samples to be inspected is n i =13, m=3, and the number of sampling points corresponding to the samples to be inspected is 4 to 13;

[0061] When 2000<q i When ≤5000t, the number of inspections is n i =13~20, when the number of samples to be inspected is n i =20, m=5, and the number of sampling points corresponding to the samples to be inspected is 5 to 20;

[0062] When 5000<q i When ≤8000t, the number of inspections is n i =20~32, when the number of inspections is n i =32, m=8, and the number of sampling points corresponding to the samples to be inspected is 8 to 32;

[0063] When 8000<q i When ≤10000t, the number of inspections is n i =32~50, when the number of samples to be inspected is n i =50, m=12, and the number of sampling points corresponding to the samples to be inspected is 12 to 50;

[0064] When 10000<q iWhen ≤15000t, the number of inspections is n i =50~80, when the number of samples to be inspected is n i =80, m=20, and the number of sampling points corresponding to the samples to be inspected is 20 to 80;

[0065] When i >15000t, the number of inspections n i =80~100, when the number of samples to be inspected is n i =100, m=25, and the number of sampling points corresponding to the samples to be inspected is 25 to 100;

[0066] In determining the number of inspections n i When the sampling number of the i-th type of illegally landfilled solid waste is less than 5, additional sampling is required at the corresponding point where the illegal landfilled solid waste is collected, so that the number of samples of this type of illegally landfilled solid waste is not less than 5.

[0067] Example 2

[0068] The difference between this embodiment and embodiment 1 is that:

[0069] In step S3, each 0.5 m thick illegal landfill solid waste layer is taken as a sampling layer.

[0070] Example 3

[0071] The difference between this embodiment and embodiment 1 is that:

[0072] In step S3, each 1.5 m thick illegal landfill solid waste layer is taken as a sampling layer.

[0073] It should be noted that when actually dividing the number of sampling layers, the thickness of the sampling layer at each sampling point can be arbitrarily selected from 0.5 to 1.5.

[0074] Experimental example

[0075] The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste of the present invention is applied in specific practical operations.

[0076] In the illegal landfill area of ​​solid waste, the area is 500m 2Therefore, it is classified as a small identification unit, and the grid points are arranged according to the grid accuracy of 10m×10m. After sampling in step S3, it is found that there is no need to encrypt the grid, and finally 5 grids are obtained. The number of sampling points M is 5, and the average burial depth is 2m. Therefore, the sampling layer thickness is selected as 0.5~1m according to the situation of each grid, and 2~4 samples are collected at each sampling point. The final total number of samples N is 13. According to the method in step S4, 2 pollutants are screened out. The weight of the first pollutant is 800t. The number of samples sent for inspection is selected as 8 according to the total number of samples. The minimum m corresponds to 2. 4 is selected as needed. Therefore, 8 samples from 4 sampling points are selected for inspection. The weight of the second pollutant is 400t. The number of samples sent for inspection is selected as 5. The minimum m corresponds to 1. 2 is selected as needed. Therefore, 5 samples from 2 sampling points are selected for inspection, which can save costs and achieve more accurate determination of illegal landfill solid waste in the area.

[0077] In the second illegal landfill area of ​​solid waste, the area is 8300m 2 Therefore, it is classified as a medium-sized identification unit, and the grid points are arranged according to the grid accuracy of 15m×15m. After sampling in step S3, it is found that there is no need to encrypt the grid, and finally 37 grids are obtained. The number of sampling points M is 37, and the average burial depth is 1.2m. Therefore, the sampling layer thickness is selected as 0.5~1m according to the situation of each grid, and 1~2 samples are collected at each sampling point. The final total number of samples N is 56. According to the method in step S4, three types of solid wastes are screened out. The weight of the first type of solid waste is 8500t. The number of samples to be sent for inspection is selected as 40 according to the total number of samples. The minimum corresponding m is 10, and the number of samples to be sent for inspection is selected according to the needs. Select 25, so 40 samples from 25 sampling points are selected for inspection. The weight of the second type of solid waste is 2500t, and the number of samples to be inspected is 16. The minimum m is 1, and 8 is selected according to the need, so 16 samples from 8 sampling points are selected for inspection. The third type of solid waste is 500t, but the illegal landfill solid waste is a discarded hard plastic shell with a hard texture and a large size. It cannot be broken to meet the particle size requirements of the sample test (similar to construction waste, such as bricks and tiles). It can be directly disposed of as general solid waste, and there is no need to carry out hazardous characteristics identification. It does not meet the sample detection requirements, so no sampling is carried out. This can not only save costs, but also achieve a more accurate determination of illegal landfill solid waste in the area;

[0078] In the illegal landfill area 3, the area is 16000m 2Therefore, it is classified as a large identification unit, and the grid points are arranged according to the grid accuracy of 20m×20m. After sampling in step S3, it is found that the grid needs to be encrypted, and the grid encryption points are arranged according to the grid accuracy of 15m×15m. Finally, 72 grids are obtained, the number of sampling points M is 72, and the average burial depth is 1.8m. Therefore, the sampling layer thickness is selected as 0.5~1m according to the situation of each grid, and 2~4 samples are collected at each sampling point. The final total number of samples N is 172. According to the method in step S4, 5 types of solid wastes are screened out. The weight of the first type of solid waste is 16000t. The number of samples to be sent for inspection is selected as 80 according to the total number of samples. The minimum corresponding m is 20, and 33 is selected according to the needs. Therefore, 80 samples from 33 sampling points are selected for inspection. The weight of the second type of solid waste is 3000t, and the number of samples to be sent for inspection is selected according to the total number of samples. The minimum value of m is 5, and 8 is selected according to the need. Therefore, 20 samples from 8 sampling points are selected for inspection. The weight of the third type of solid waste is 1800t. The number of samples to be inspected is 13 according to the total number of samples. The minimum value of m is 4, and 6 is selected according to the need. Therefore, 13 samples from 6 sampling points are selected for inspection. The weight of the fourth type of solid waste is 500t. The number of samples to be inspected is 5, and the minimum value of m is 1. 3 is selected according to the need. Therefore, 5 samples from 3 sampling points are selected for inspection. The weight of the fifth type of pollutant is 11000t. The number of samples to be inspected is 54 according to the total number of samples. The minimum value of m is 14, and 22 is selected according to the need. Therefore, 54 samples from 22 sampling points are selected for inspection. This can save costs and achieve more accurate determination of illegally landfilled solid waste in the area.

Claims

1. An in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste, characterized in that: The following steps are involved: S1. Division of identification units: Use ground penetrating radar to investigate the boundaries and burial depth of the illegally landfilled solid waste area, determine the area, depth and tonnage of the illegally landfilled solid waste, and then divide it into small identification units, medium identification units, large identification units, and extra-large identification units according to the size of the illegally landfilled solid waste area; S2. Arrange sampling points: Arrange sampling points in the identification unit by grid arrangement method according to the following arrangement principles: for small identification units, arrange the points in a grid according to the grid accuracy of 10m×10m; for medium-sized identification units, arrange the points in a grid according to the grid accuracy of 15m×15m; for large identification units, arrange the points in a grid according to the grid accuracy of 20m×20m; for extra-large identification units, arrange the points in a grid according to the grid accuracy of 30m×30m, and take each grid as a sampling point; S3. Determine the number of samplings: After the sampling points are arranged, the number of sampling layers at each sampling point is determined according to the thickness of the illegal landfill solid waste layer at each sampling point in the identification unit. Each illegal landfill solid waste layer with a thickness of 0.5 to 1.5 m is regarded as a sampling layer. Each sampling layer is sampled once at each sampling point to collect samples of illegal landfill solid waste, and then the total number of samplings for the identification unit is determined; In step S3, the number of sampling points of the identification unit is at least M, the total number of sampling points of the identification unit is N, the relationship between the total number of sampling points N and the number of sampling points M is: N≤8M, and the value range of the number of sampling points y of each sampling point is: 1≤y≤8, thus obtaining: Where N is the total number of samples of the identification unit; y k is the number of solid waste sampling at point k; M is the number of sampling points in the identification unit; S4. Screening of solid waste types: Classify all illegally landfilled solid waste samples collected, and count the pollution characteristics of illegally landfilled solid wastes in the identification unit. If the pollution characteristics of illegally landfilled solid wastes are similar, they are classified as the same type of solid waste. If the pollution characteristics of illegally landfilled solid wastes are not similar, they are classified as different types of solid wastes. Finally, x types of illegally landfilled solid wastes are obtained, and the number of samples n to be inspected for each type of illegally landfilled solid waste is determined, as well as the total number of samples Q to be inspected for the identification unit; In step S4, the total number of samples Q submitted for inspection by the identification unit is expressed by the following formula: Where n i is the number of illegal landfill solid wastes sent for inspection of the i-th type; x is the number of illegal landfill solid wastes in the identification unit; here only solid wastes that meet the sample inspection requirements are included in the calculation of the number of types; The mass of the i-th illegal landfill solid waste is q i , the number of sampling points corresponding to the sample of the i-th illegal landfill solid waste is at least m, m = n i / 4 and round down, the number of each type of illegal landfill solid waste sent for inspection n i And the method for determining m is: When i When ≤500t, the number of inspections is n i =5, m=1, the number of sampling points corresponding to the sample to be tested is 1 to 5; When 500<q i When ≤1000t, the number of inspections is n i =5~8, when the number of samples to be inspected is n i =8, m=2, and the number of sampling points corresponding to the samples to be inspected is 2 to 8; When 1000<q i When ≤2000t, the number of inspections is n i =8~13, when the number of samples to be inspected is n i =13, m=3, and the number of sampling points corresponding to the samples to be inspected is 4 to 13; When 2000<q i When ≤5000t, the number of inspections is n i =13~20, when the number of samples to be inspected is n i =20, m=5, and the number of sampling points corresponding to the samples to be inspected is 5 to 20; When 5000<q i When ≤8000t, the number of inspections is n i =20~32, when the number of inspections is n i =32, m=8, and the number of sampling points corresponding to the samples to be inspected is 8 to 32; When 8000<q i When ≤10000t, the number of inspections is n i =32~50, when the number of samples to be inspected is n i =50, m=12, and the number of sampling points corresponding to the samples to be inspected is 12 to 50; When 10000<q i When ≤15000t, the number of inspections is n i =50~80, when the number of samples to be inspected is n i =80, m=20, and the number of sampling points corresponding to the samples to be inspected is 20 to 80; When i >15000t, the number of inspections n i =80~100, when the number of samples to be inspected is n i When m=100, m=25, the number of sampling points corresponding to the samples to be inspected is 25 to 100.

2. The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste according to claim 1 is characterized in that: In step S1, the area is less than 1000m 2 The illegal landfill areas of solid waste are divided into small identification units; The area is between 1000m 2 ~10000m 2 The illegal landfill solid waste areas are designated as medium-sized identification units; The area is between 10000m 2 ~20000m 2 Illegal landfill areas of solid waste between the two areas are designated as large identification units; Area greater than 20000m 2 The area where illegal solid waste is landfilled is designated as a super-large identification unit.

3. The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste according to claim 1 is characterized in that: In step S2, random point distribution method or judgment point distribution method is adopted when sampling each grid. The random point distribution method is to distribute the sampling points at any position in the grid. The judgment point distribution method is to distribute the points in the area with heavy pollution and illegal landfill of solid waste in the grid based on the subjective judgment of the pollution degree of the grid site.

4. The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste according to claim 1 is characterized in that: The judgment criteria for similar pollution characteristics in step S4 are: the colors of the illegally landfilled solid wastes are of the same color, the physical and chemical properties are the same, and the smells are similar.

5. The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste according to claim 4 is characterized in that: The step S3 also includes encrypting the grid. After the sampling points are arranged, any two non-adjacent grids are randomly selected for sampling and the collected illegally landfilled solid waste samples are classified. If the pollution characteristics of the two illegally landfilled solid waste samples are similar, the grid accuracy remains unchanged. If the pollution characteristics of the illegally landfilled solid waste are not similar, the grid accuracy is improved by a gradient, that is: for small identification units, the grid points are arranged according to a grid accuracy of 5m×5m, for medium-sized identification units, the grid points are arranged according to a grid accuracy of 10m×10m, for large identification units, the grid points are arranged according to a grid accuracy of 15m×15m, and for extra-large identification units, the grid points are arranged according to a grid accuracy of 20m×20m. The judgment standard for similar pollution characteristics is the same as that in step S4.

6. The in-situ sampling method for identifying hazardous characteristics of illegally landfilled solid waste according to claim 1 is characterized in that: In determining the number of inspections n i When the sampling number of the i-th type of illegally landfilled solid waste is less than 5, additional sampling is required at the corresponding point where the illegal landfilled solid waste is collected, so that the number of samples of this type of illegally landfilled solid waste is not less than 5.

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