Soil ecological environment damage confirmation method suitable for illegally dumping construction waste area and application of soil ecological environment damage confirmation method

Abstract

The invention discloses a soil ecological environment damage confirmation method suitable for an illegally dumping construction waste area, which comprises the following steps: carrying out characteristic pollution index screening analysis on soil samples in an evaluation area and a control area; performing high-throughput sequencing and data processing to obtain bacterial community composition structures of the soil samples in the evaluation area and the control area, and comparing and analyzing changes of bacterial communities in the evaluation area to judge whether the soil environment of the evaluation area is obviously changed or not; the correlation between the change of the bacterial community and the characteristic pollution index is analyzed to confirm whether the construction waste has influence on the soil environment and the influence degree of the construction waste, the evaluation is scientific and reasonable, and indexes such as the OTU number, the alpha diversity index and the increase and decrease amplitude of the relative abundance of the dominant class group can be used for quantifying the influence degree of the construction waste on the soil environment; the method can assist in confirming damage facts of damage identification and evaluation cases of illegal dumping of construction waste.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental monitoring, and in particular relates to a method for confirming soil ecological environmental damage in an area where construction waste is illegally dumped, and an application thereof. Background Art

[0003] Cases involving soil and groundwater ecological environmental damage appraisal and assessment caused by ecological environmental damage compensation incidents account for the highest proportion of such cases. Scientifically and quantifiably assessing environmental damage has become a focus and a difficult problem that needs to be solved in the field of environmental justice. Therefore, building a sound ecological environmental damage appraisal and assessment technology system is not only an inevitable requirement for implementing the reform of ecological environmental damage compensation, but also a necessary guarantee for the refined management of the ecological environment and the maintenance of environmental judicial justice, which has far-reaching significance for promoting the construction of ecological civilization in my country.

[0004] For example, the patent document with application number CN202211589012.3 discloses an ecological environmental damage assessment method and system applied to underground engineering water gushing events. The method includes a damage causal relationship judgment method, including the following steps: determining the source and receptor; judging homology; judging correlation; judging connectivity.

[0005] The above-mentioned existing technology combines the characteristics of the underground engineering industry, combines the legal theory of causal relationship determination with hydrogeological surveys, online monitoring, mathematical statistics and other methods, and develops a targeted method for evaluating the value of ecological environmental damage caused by underground engineering water gushing incidents, providing technical and normative guarantees for the evaluation of ecological environmental damage caused by underground engineering water gushing incidents. However, this existing technology was developed for underground engineering water gushing incidents and is not suitable for soil environmental damage identification and assessment cases.

[0006] On the other hand, illegal dumping and landfilling of construction waste are typical types of environmental violations, and the current ecological environmental damage identification work mainly focuses on the investigation of conventional physical and chemical indicators and heavy metal indicators. However, compared with other types of environmental pollution, the pollution of soil environment by construction waste has obvious hidden and cumulative characteristics. It often happens that when conducting environmental impact assessments, conventional physical and chemical indicators and heavy metal indicators do not exceed national standards, but the facts of illegal dumping of construction waste and soil pollution do exist, which aggravates the difficulty of tracing the causes of pollution and defining responsibilities, and thus makes the process of confirming the facts of damage more complicated.

[0007] The present invention aims to provide an assessment method that can further quantify and confirm the damage of construction waste to the soil ecological environment when the conventional physical and chemical indicators and heavy metal indicators of the soil in the area where construction waste is illegally dumped do not exceed the national standards. Summary of the invention

[0008] In view of the problems in the related technology, the present invention proposes a method for confirming soil ecological environment damage in areas where construction waste is illegally dumped and its application, so as to overcome the above-mentioned technical problems existing in the existing related technology.

[0009] The technical solution of the present invention is achieved in this way:

[0010] A method for confirming soil ecological environment damage in areas where construction waste is illegally dumped, comprising at least the following steps:

[0011] 1) Screening characteristic pollution indicators and determining characteristic pollution indicators;

[0012] 2) Determine the content of characteristic pollution indicators in soil samples from the control area and the assessment area where construction waste is illegally dumped, and analyze and determine whether the content of characteristic pollution indicators in the assessment area exceeds the soil baseline level in the control area;

[0013] 3) Perform high-throughput sequencing on soil samples from the evaluation area and the control area, perform OTU cluster analysis and α diversity analysis based on the sequence information, and at least use ANOVA test to analyze whether the bacterial community in the evaluation area has changed significantly compared with the control area;

[0014] 4) Through db-RDA analysis, the correlation between the changes in bacterial communities in the assessment area and characteristic pollution indicators was tested to indirectly confirm whether construction waste has caused damage to the soil ecological environment, and the impact of construction waste on the soil ecological environment was quantified through changes in various indexes of bacterial communities.

[0015] Preferably, since the present invention is aimed at monitoring the soil environment, i.e., solid waste, the screening of characteristic pollution indicators in step 1) adopts the following determination method:

[0016] Heavy metals were determined using a 7900 inductively coupled plasma mass spectrometer, and semivolatile organic compounds and volatile organic compounds were determined using an Atomx-8860-5977B gas chromatograph-mass spectrometer.

[0017] Preferably, step 2) comprises the following steps:

[0018] 2.1) The soil samples from the assessment area and the control area were respectively tested for the content of characteristic pollution indicators;

[0019] 2.2) Determine soil baseline level:

[0020] The specific operation is to perform statistical calculations on the characteristic pollution index content data measured in the control area to check whether it belongs to a normal distribution;

[0021] If it is a normal distribution, the 90% reference upper limit of the control point data is used as the soil baseline, and the arithmetic mean + 1.65 times the standard deviation; if it is not a normal distribution, the 90th percentile of the control point data is used as the soil baseline;

[0022] 2.3) Compare with the soil baseline level to determine whether the content of characteristic pollution indicators in the assessment area exceeds the soil baseline level.

[0023] Preferably, in step 3), OTU clustering analysis is performed on the sequences obtained by high-throughput sequencing at a similarity level of 97%.

[0024] Preferably, in step 3), the α diversity analysis comprises ACE index, Chao1 index, Simpson index and Shannon-Wiener index analysis.

[0025] Preferably, in high-throughput sequencing, 0.25 to 0.5 g of soil sample is taken, stored in a refrigerator at ≤80°C, and high-throughput sequencing is performed within 24 hours. The sample nucleic acid is extracted using a magnetic bead method, and then PCR amplification and sequencing are performed to obtain raw sequencing data.

[0026] Preferably, in step 3), at least the following steps are included:

[0027] 3.1) High-throughput sequencing of soil samples from the evaluation area and the control area;

[0028] 3.2) Analyze the number of OTUs and α diversity index in the evaluation area and the control area to determine whether the number of OTUs and α diversity index in the evaluation area have decreased;

[0029] 3.3) Perform taxonomic analysis on the sequence results obtained by high-throughput sequencing at least at the phylum level, and then determine the top 10 dominant bacterial phyla and their relative abundance in the evaluation area, and determine the relative abundance of the dominant bacterial phyla corresponding to the control area;

[0030] 3.4) ANOVA test was performed to determine whether there was a significant difference in the relative abundance of the same dominant bacterial phylum between the evaluation area and the control area.

[0031] More preferably, in step 3), the sequence results obtained by high-throughput sequencing are further subjected to taxonomic analysis at the genus level, comprising the following steps:

[0032] 3.5) Perform taxonomic analysis on the sequence results obtained by high-throughput sequencing at the genus level to determine the top 10 dominant bacterial genera and their relative abundances in the evaluation area, and then determine the relative abundances of the dominant bacterial genera corresponding to the control area;

[0033] 3.6) ANOVA test was performed to determine whether there was a significant difference in the relative abundance of the same dominant bacterial genus between the evaluation area and the control area.

[0034] Preferably, the evaluation area and the control area each have at least 3 soil samples. In step 3.2), the OTU number and α diversity index of each soil sample are analyzed and determined, and then the mean plus or minus standard deviation Mean±SD is calculated to obtain the mean plus or minus standard deviation Mean±SD. By comparing the OTU number and the α diversity index of the evaluation area and the control area, it is determined whether the OTU number and α diversity index of the evaluation area have decreased.

[0035] Preferably, step 4) at least includes:

[0036] 4.1) Through db-RDA analysis, the inter-group differences between the evaluation area and the control area were analyzed at the phylum level, and the correlation between the inter-group differences and the characteristic pollution indicators was tested to indirectly confirm whether the construction waste had damaged the soil ecological environment;

[0037] 4.2) Use the changes in various bacterial community indexes to quantitatively evaluate the impact of construction waste on the soil ecological environment.

[0038] More preferably, step 4) further comprises:

[0039] Through db-RDA analysis, the inter-group differences between the evaluation area and the control area were analyzed at the genus level, and the correlation between the inter-group differences and the characteristic pollution indicators was tested to indirectly confirm whether the construction waste caused damage to the soil ecological environment; the impact of construction waste on the soil ecological environment was quantified through changes in various indexes of the bacterial community.

[0040] As the core component of the soil ecosystem, soil microbial communities are directly involved in the decomposition of substances and nutrient cycling in the soil. About 80 to 90% of soil functions are closely related to soil microorganisms, including the effective transformation of soil nutrients, the maintenance of ecosystem stability, and the ability to resist external interference. From a biological perspective, microorganisms are recognized as the most sensitive soil quality indicators. The present invention uses highly sensitive microorganisms as key indicators for assessing whether the soil environment has changed significantly, which can directly reflect the toxicity intensity and potential ecological impact of construction waste.

[0041] Based on the above ideas, the present invention innovatively introduces the analytical framework of the damaged soil microbial community structure and its dynamic changes into the practice of ecological environmental damage identification and assessment, and uses high-throughput sequencing technology, OTU cluster analysis and other means to analyze the characteristics of bacterial communities, providing a scientific and quick method for evaluating the impact of construction waste on microbial communities.

[0042] The method for confirming soil ecological environmental damage in construction waste areas proposed in the present invention is comprehensive and reasonable. Specifically, the soil environment of the area where construction waste is landfilled is evaluated at multiple levels from the perspectives of the number of OTUs, the increase and decrease in the α-diversity index, and the relative abundance of dominant groups, and the correlation between pollution indicators and changes in the microbial community is analyzed to ensure that the evaluation model is scientific and reasonable. At the same time, the number of OTUs, the increase and decrease in the α-diversity index, and the relative abundance of dominant groups introduced in the present invention can be used to quantify the impact of construction waste on the soil environment, and can effectively assist in confirming the damage facts in ecological environmental damage identification and assessment cases involving illegal dumping of construction waste.

[0043] The present invention also discloses the application of the soil ecological environment damage confirmation method to preliminary tracing of the soil in a soil area suspected of being dumped with construction waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is the soil sampling point layout diagram of the present invention;

[0045] Figure 2 A relative abundance bar graph of the dominant bacterial phyla in the evaluation area of ​​the present invention compared to the control area;

[0046] Figure 3 A relative abundance bar graph of the dominant bacterial genus in the evaluation area of ​​the present invention compared to the control area;

[0047] Figure 4 It is a db-RDA analysis diagram of the evaluation area of ​​the present invention at the phylum level;

[0048] Figure 5 It is the db-RDA analysis diagram of the evaluation area of ​​the present invention at the genus level. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present invention will be described clearly and completely below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] This example is a case of illegal dumping of construction waste in the Pearl River Delta region. The region is a typical impact plain with flat terrain, developed water system, numerous rivers and tidal flat resources, and a complex multi-level ecosystem and water network system. Its climate type belongs to the southern subtropical marine monsoon climate, with an average annual temperature of 21.9℃ and an annual precipitation of up to 1682.8mm.

[0051] The land use type of the assessment area involved in this example is agricultural land, which is mainly used as fish ponds. In July 2022, the local ecological environment supervision department found that a large amount of construction waste was dumped in the area, mainly engineering slag and decoration waste. After identification and evaluation, the area of ​​the construction waste dumping area is about 5000m 2 , the volume of construction waste is about 18000m 3 .

[0052] Relevant personnel from the environmental department arrived at the scene to carry out relevant work.

[0053] A. Soil Sampling

[0054] A-1) The soil sampling operation in the assessment area is as follows: randomly select 3 sample plots with an area of ​​1m×1m in the assessment area, drill 10cm of soil below the construction waste landfill layer in the center of the sample plot, take 3 soil samples in this section and mix them in equal proportions, which is a soil sample of the assessment area. Three soil samples are taken in the assessment area and are numbered CW1~CW3.

[0055] A-2) The surrounding area that is obviously uncontaminated serves as a control area for soil sampling;

[0056] Five soil control points at the same depth as the assessment area were set up in areas surrounding the area to be assessed that were obviously not contaminated by construction waste. One soil sample was collected from each point, and the soil samples were numbered NC1 to NC5.

[0057] The specific sampling point layout of the evaluation area and the control area is shown in the following figure. Figure 1 shown.

[0058] B. Conduct physical and chemical property analysis and heavy metal content determination on soil samples from the evaluation area and control area.

[0059] The results showed that none of them exceeded the risk screening values ​​of the Soil Environmental Quality Agricultural Land Soil Pollution Risk Control Standards (Trial) (GB15618-2018).

[0060] C. Using the soil ecological environment damage confirmation method applicable to the illegal dumping of construction waste of the present invention to evaluate the area, comprising the following steps:

[0061] 1) Screen soil samples from the assessment area and the control area for characteristic pollution indicators and determine the characteristic pollution indicators.

[0062] Heavy metals were determined using a 7900 inductively coupled plasma mass spectrometer, and semivolatile organic compounds and volatile organic compounds were determined using an Atomx-XYZ-8890-5977B gas chromatograph-mass spectrometer.

[0063] According to the screening results, the characteristic pollution indicators were determined to be Cu, Pb and Zn.

[0064] 2) The content of characteristic pollution indicators was measured in soil samples from the evaluation area and the control area.

[0065] 2.1) The contents of Pb and Cu in soil samples CW1-CW3 and NC1-NC5 were determined by a 240FS AA flame atomic absorption spectrometer, and the content of Zn in soil samples CW1-CW3 and NC1-NC5 was determined by a 280FS AA flame atomic absorption spectrometer.

[0066] 2.2) Statistically calculate the content data of heavy metals Cu, Pb and Zn measured in the control area to check whether they belong to normal distribution;

[0067] If it belongs to normal distribution, the 90% reference upper limit (arithmetic mean + 1.65 times standard deviation) of the control point data is used as the soil baseline. If it does not belong to normal distribution, the 90th percentile of the control point data is used as the soil baseline.

[0068] The results are shown in the following table.

[0069]

[0070] It can be seen from the above table that the Pb, Cu, and Zn detection data of soil samples NC1 to NC5 in the control area and the Pb, Cu, and Zn detection data of soil samples CW1 to CW3 in the evaluation area all obey the normal distribution.

[0071] 2.3) Compare with the soil baseline level to determine whether the content of characteristic pollution indicators in the assessment area exceeds the soil baseline level.

[0072] The Pb, Cu, and Zn heavy metals in the soil samples CW1 to CW3 in the assessment area all exceeded the baseline values ​​to varying degrees. This means that by comparing with the baseline values, it was proved that construction waste caused the formation of mild heavy metal complex pollution of Pb, Cu, and Zn in the soil in the assessment area.

[0073] 3) High-throughput sequencing

[0074] 3.1) Perform 16S rRNA high-throughput sequencing on soil samples from the evaluation area and the control area.

[0075] All soil samples collected this time were stored in a refrigerator at ≤80℃ and sent to the laboratory for relevant sequencing work within 24 hours after sampling.

[0076] 3.1a) 0.35 g soil samples were collected from DG1-DG3 and CW1-CW3 respectively, and nucleic acids were extracted from the samples using the TGuide S96 magnetic bead method. The nucleic acid concentration was detected using a synergy HTX microplate reader.

[0077] 3.1b) PCR amplification was performed using a Veriti 96-well 9902 gradient gene amplification instrument, and the integrity of the PCR product was detected using agarose (1.8% mass concentration) gel electrophoresis.

[0078] 3.1c) Perform library detection by Qsep-400 method, and proceed to the next step if the detection is qualified.

[0079] 3.1d) Use Novasek 6000 sequencer to perform high-throughput sequencing to obtain raw sequencing data.

[0080] 3.1e) The data obtained from high-throughput sequencing were processed. The raw sequencing data were quality filtered using Trimmomatic 0.33, and the primer sequences were identified and removed using Cutadapt 1.9.1. Then, the double-end reads were spliced ​​using USEARCH 10.0 and chimeras were removed to obtain high-quality sample sequence data.

[0081] 3.1f) OTU clustering analysis was performed on the sequences using USEARCH 10.0 at the 97% similarity level, and the quality-controlled data were denoised using the DADA2 method in QIIME2.

[0082] 3.2) Verify the comprehensiveness of the test data volume.

[0083] When the number of tested sequences reached 35,000, the coverage was ≥99%, and the growth of the number of OTUs slowed down significantly, approaching saturation, indicating that continuing to increase the amount of sequencing can only reveal new bacterial groups to a limited extent, thus verifying that the amount of sequencing data used in this study was sufficient and reasonable, sufficient to truly and comprehensively reflect the composition structure of the microbial community in the soil samples of the evaluation area and its control area.

[0084] 3.3) OTU quantity record and α diversity index analysis.

[0085] Alpha diversity analysis includes ACE index, Chao1 index, Simpson index and Shannon-Wiener index analysis.

[0086] The results are shown in the following table.

[0087]

[0088]

[0089] The tabular data show that the number of OTUs in the soil samples of the evaluation area is significantly lower than that in the control area. At the same time, the α diversity indexes (ACE, Chao1, Shannon, Shannon-Wiener) of the soil samples in the evaluation area are all lower than those in the evaluation area, indicating that the bacterial diversity and richness of the soil environment in the evaluation area are lower than those in the control area.

[0090] 3.4) Perform taxonomic analysis on the sequence results obtained by high-throughput sequencing at the phylum level, and then determine the top 10 dominant bacterial phyla and their relative abundance in the evaluation area, and determine the relative abundance of the dominant bacterial phyla corresponding to the control area.

[0091] 3.5) ANOVA test (P<0.05) was used to determine whether there was a significant difference in the relative abundance of the same dominant bacterial phylum between the evaluation area and the control area.

[0092] The results are shown in the following table.

[0093]

[0094] 3.6) Perform taxonomic analysis on the sequence results obtained by high-throughput sequencing at the genus level to determine the top 10 dominant bacterial genera and their relative abundances in the evaluation area, and then determine the relative abundances of the dominant bacterial genera corresponding to the control area;

[0095] 3.7) ANOVA test (P<0.05) was used to determine whether there was a significant difference in the relative abundance of the same dominant bacterial genus between the evaluation area and the control area.

[0096] The results are shown in the following table.

[0097]

[0098]

[0099] It can be seen that the dominant taxa in the evaluation area and the control area are completely different at the phylum and genus levels.

[0100] In summary, compared with the control area, the number of OTUs and the relative abundance of dominant groups in the assessment area have changed significantly, indicating that the soil environment in the assessment area has changed. Whether the change is caused by construction waste requires further analysis and evaluation.

[0101] 3.8) Prepare a distribution bar graph of the top 10 dominant taxa in relative abundance in the assessment area and compare it with the control area to visually display the changes in relative abundance of dominant taxa at the phylum and genus levels.

[0102] Figure 2The relative abundance bar graph of the top 10 dominant bacterial phyla in soil samples from the evaluation area and the control area is shown in the figure. Figure 3 The figure is a bar graph showing the relative abundance of the top 10 dominant bacterial genera in soil samples from the evaluation area and the control area.

[0103] In summary, compared with the control area, the relative abundance of dominant groups in the assessment area at the phylum and genus levels has changed, which means that the soil ecological environment in the assessment area has changed.

[0104] 4) The db-RDA analysis was used to test the correlation between the changes in the bacterial community in the assessment area and the characteristic pollution indicators.

[0105] 4.1) The inter-group differences between the evaluation area and the control area were analyzed at the phylum level using the db-RDA analysis method.

[0106] Results Figure 4 There were significant differences between the evaluation area and the control area at the phylum level, and CAP1 and CAP2 could explain 50.98% and 20.40% of the total variation, respectively. Compared with the control area, the bacterial structure in the evaluation area was more different, and the influence of Cu, Zn, and Pb was the main factor causing the difference.

[0107] 4.2) The inter-group differences between the evaluation area and the control area were analyzed at the genus level using the db-RDA analysis method.

[0108] Results Figure 5 The differences between the evaluation area and the control area at the genus level were obvious, and CAP1 and CAP2 could explain 58.54% and 18.77% of the total variation, respectively. Compared with the control area, the bacterial structure in the evaluation area was more different, and the influence of Cu, Zn, and Pb was the main factor causing the difference.

[0109] 4.3) There is a correlation between the changes in the top 10 dominant bacterial groups in relative abundance at the phylum and genus levels in the assessment area relative to the control area and the characteristic heavy metal indicators, indicating that the changes in the soil ecological environment in the assessment area are caused by construction waste. The difference in the number of OTUs, α diversity index, and relative abundance of dominant groups in the assessment area relative to the control area can be used as quantitative indicators to evaluate the impact of construction waste on the soil environment, and can assist in the confirmation of damage facts in damage identification and assessment cases involving illegal dumping of construction waste.

[0110] According to the disclosure and teaching of the above description, those skilled in the art to which the present invention belongs may also change and modify the above implementation modes. Therefore, the present invention is not limited to the specific implementation modes disclosed and described above, and some modifications and changes to the present invention should also fall within the protection scope of the claims of the present invention. In addition, although some specific terms are used in this specification, these terms are only for the convenience of description and do not constitute any limitation to the present invention.

Claims

1. A method for confirming soil ecological environment damage in areas where construction waste is illegally dumped, characterized in that: At least the following steps are included: 1) Screening characteristic pollution indicators and determining characteristic pollution indicators; 2) Determine the content of characteristic pollution indicators in soil samples from the control area and the assessment area where construction waste is illegally dumped, and analyze and determine whether the content of characteristic pollution indicators in the assessment area exceeds the soil baseline level in the control area; 3) Perform high-throughput sequencing on soil samples from the evaluation area and the control area, perform OTU cluster analysis and α diversity analysis based on the sequence information, and at least use ANOVA test to analyze whether the bacterial community in the evaluation area has changed significantly compared with the control area; 4) Through db-RDA analysis, the correlation between the changes in bacterial communities in the assessment area and characteristic pollution indicators was tested to indirectly confirm whether construction waste has caused damage to the soil ecological environment, and the impact of construction waste on the soil ecological environment was quantified through changes in various indexes of bacterial communities.

2. The soil ecological environment damage confirmation method applicable to the area where construction waste is illegally dumped according to claim 1 is characterized in that: In step 3), the following steps are included: 3.1) High-throughput sequencing of soil samples from the evaluation area and the control area; 3.2) Analyze the number of OTUs and α diversity index in the evaluation area and the control area to determine whether the number of OTUs and α diversity index in the evaluation area have decreased; 3.3) Perform taxonomic analysis on the sequence results obtained by high-throughput sequencing at least at the phylum level, and then determine the top 10 dominant bacterial phyla and their relative abundance in the evaluation area, and determine the relative abundance of the dominant bacterial phyla corresponding to the control area; 3.4) ANOVA test was performed to determine whether there was a significant difference in the relative abundance of the same dominant bacterial phylum between the evaluation area and the control area.

3. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 2 is characterized in that: In step 3), the sequence results obtained by high-throughput sequencing are also subjected to taxonomic analysis at the genus level, including the following steps: 3.5) Perform taxonomic analysis on the sequence results obtained by high-throughput sequencing at the genus level to determine the top 10 dominant bacterial genera and their relative abundances in the evaluation area, and then determine the relative abundances of the dominant bacterial genera corresponding to the control area; 3.6) ANOVA test was performed to determine whether there was a significant difference in the relative abundance of the same dominant bacterial genus between the evaluation area and the control area.

4. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 3 is characterized in that: Step 4) at least includes the following steps: 4.1) Through db-RDA analysis, the inter-group differences between the evaluation area and the control area were analyzed at the phylum level, and the correlation between the inter-group differences and the characteristic pollution indicators was tested to indirectly confirm whether the construction waste had damaged the soil ecological environment; 4.2) Use the changes in various bacterial community indexes to quantitatively evaluate the impact of construction waste on the soil ecological environment.

5. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 4 is characterized in that: Step 4) also includes: Through db-RDA analysis, the inter-group differences between the evaluation area and the control area were analyzed at the genus level, and whether there was a correlation between the inter-group differences and the characteristic pollution indicators was tested; the impact of construction waste on the soil ecological environment was quantified by the changes in various indexes of the bacterial community.

6. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 2 is characterized in that: The evaluation area and the control area each have at least 3 soil samples. In step 3.2), each soil sample is analyzed and determined for the number of OTUs and the α diversity index, and then the mean plus or minus standard deviation Mean±SD is calculated. By comparing the number of OTUs and the mean plus or minus standard deviation Mean±SD of the α diversity index in the evaluation area and the control area, it is determined whether the number of OTUs and the α diversity index in the evaluation area have decreased.

7. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 6 is characterized in that: The α diversity analysis includes ACE index, Chao1 index, Simpson index and Shannon-Wiener index analysis.

8. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 1 is characterized in that: The screening of characteristic pollution indicators in step 1) adopts the following determination method: Heavy metals were determined using a 7900 inductively coupled plasma mass spectrometer, and semivolatile organic compounds and volatile organic compounds were determined using an Atomx-8860-5977B gas chromatograph-mass spectrometer.

9. The method for confirming soil ecological environment damage applicable to areas where construction waste is illegally dumped according to claim 8 is characterized in that: Step 2) includes the following steps: 2.1) The soil samples from the assessment area and the control area were respectively tested for the content of characteristic pollution indicators; 2.2) Determine the soil baseline level: The specific operation is to perform statistical calculations on the characteristic pollution index content data measured in the control area to check whether it belongs to a normal distribution; If it is a normal distribution, the 90% reference upper limit of the control point data is used as the soil baseline, and the arithmetic mean + 1.65 times the standard deviation; if it is not a normal distribution, the 90th percentile of the control point data is used as the soil baseline; 2.3) Compare with the soil baseline level to determine whether the content of characteristic pollution indicators in the assessment area exceeds the soil baseline level.

10. Application of the soil environmental damage assessment method according to any one of claims 1 to 9 for preliminary tracing of the soil in an area suspected of being dumped with construction waste.

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