Method for screening and identifying underground water pollutants in industrial park

Abstract

The invention discloses an industrial park groundwater pollutant screening and identification method, which comprises the following steps: firstly, scoring the source strength, toxicity and path of pollutants through a comprehensive scoring method, and carrying out preliminary screening according to the scoring result to determine preliminarily concerned pollutants, thereby being beneficial to narrowing the screening range and reducing unnecessary evaluation work; the evaluation efficiency is improved. Meanwhile, the ITD index model constructed based on the three dimensions of source intensity, toxicity and path can more comprehensively consider the potential risk of the pollutants, and a scientific basis is provided for an evaluation result. The toxicity test result is introduced, so that the evaluation result is more accurate, and experimental data support is provided for the evaluation result. The method can provide scientific basis and technical support for underground water pollution prevention and control in industrial parks. According to the comprehensive evaluation result, corresponding risk prevention and control measures are provided for the optimal control pollutants in the list, the underground water pollution risk of the industrial park is reduced, and the environment and human health are protected.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental monitoring, and in particular relates to a method for screening and identifying groundwater pollutants in an industrial park. Background Art

[0002] In recent years, with the rapid development of my country's economy and society, the development and utilization of groundwater resources has grown rapidly. The causes of groundwater pollution are diverse, the process is complex, and it is difficult to identify. In addition, because it is greatly affected by the geological structure, it is difficult to control and the cost of restoration is high. Therefore, groundwater prevention is more important than control. As an emerging industrial organization model, industrial parks have contributed tremendous energy to boosting regional economic growth. There are tens of thousands of industrial parks across the country. There are densely populated enterprises of various industries in the parks, and various pollutants are concentrated and large in volume. Environmental accidents are relatively frequent, which has a severe impact on the ecological environment. The pressure of environmental supervision is huge. It is the object of groundwater pollution prevention and control that the country has paid great attention to in recent years. The types of groundwater pollution in my country's industrial parks are mainly organic and inorganic pollutants. The types of groundwater pollution are closely related to the types of industrial industries, showing the characteristics of regional division. Therefore, solving the effective identification of groundwater characteristic pollutants in industrial parks is crucial for the supervision of the ecological environment and pollution prevention and control of the parks, which helps the park management units to take targeted measures and prevent effectively. By identifying characteristic pollutants and screening preferred pollutants, selective priority control of highly toxic and highly mobile substances can provide protection for the health of people in the park and the protection of the ecological environment, and is also the most effective scientific and technological means to carry out groundwater environmental pollution control. Therefore, the screening and identification technology of characteristic pollutants in groundwater in industrial parks is of great significance for the effective management and protection of groundwater resources. Summary of the invention

[0003] In view of the problems existing in the prior art, one object of the present invention is to provide a method for screening and identifying groundwater pollutants in an industrial park.

[0004] The technical solution adopted by the present invention is as follows: a method for screening and identifying groundwater pollutants in an industrial park, characterized in that the method comprises the following steps:

[0005] S1: First, conduct data collection and preliminary screening, collect information on pollution sources in industrial parks, and establish an initial pollutant list;

[0006] S2: Use a comprehensive scoring method to score the pollutant source strength, toxicity and pathway in the initial pollutant list of step S1, and conduct preliminary screening based on the scoring results to determine the pollutants of preliminary concern;

[0007] S3: Construct an ITD index model based on the three characteristics of pollutant source intensity, toxicity, and pathway to conduct a comprehensive assessment of preliminary pollutants;

[0008] S4: Based on the ITD indicator model scores, pollutants are initially divided into high, medium and low risk levels to further narrow the screening scope;

[0009] S5: Selection of species for toxicity tests: Select species that are sensitive to pollutants, including aquatic organisms and microorganisms;

[0010] S6: Toxicity test: design an appropriate toxicity test plan based on the characteristics of the pollutants and the toxic response of the test species and conduct tests on the pollutants that are initially classified as high-risk levels in step S4;

[0011] S7: Statistically analyzing the experimental data of the toxicity test in step S6 to determine the toxicity threshold and toxicity effect of the pollutant;

[0012] S8: Comprehensively evaluate the toxicity test results in step S7 and the preliminary screening results in step S3, and divide the pollutants into different risk levels, such as low risk, medium risk, high risk, etc., according to the preset thresholds and the comprehensive scores of the pollutants, and select pollutants with high risk levels as key pollutants.

[0013] In a preferred embodiment, the pollution source information of the industrial park described in step S1 includes: the industrial type, production process, raw materials and products, wastewater treatment facilities, and emission volume of the enterprise, obtaining historical monitoring data and environmental impact assessment reports of the industrial park, and understanding the history and current status of groundwater pollution.

[0014] Preferably, the emissions include chemical oxygen demand emissions, ammonia nitrogen emissions, total nitrogen emissions, petroleum emissions, volatile phenol emissions, wastewater arsenic emissions, wastewater lead emissions, wastewater mercury emissions, wastewater cadmium emissions and wastewater hexavalent chromium emissions, etc.

[0015] In a preferred embodiment, considering the representativeness and ecological niche of the test species, the test species for the toxicity test in step S5 should select at least two species of different types and functions, including fish (zebrafish, rare minnow, carp, etc.), Daphnia (large Daphnia), algae (Chlorella, Scenedesmus obliquus, etc.), submerged plants (Myriophyllum, Vallisneria, etc.), floating plants (Duckweed) and activated sludge microorganisms.

[0016] In a preferred embodiment, the toxicity test scheme in step S6 includes but is not limited to acute toxicity test, chronic toxicity test, ecotoxicity test, etc., to ensure the controllability and repeatability of the experimental conditions and the reliability of the experimental results.

[0017] In a preferred embodiment, in step S2, the source strength score formula is: source strength score = pollution load index score + historical pollution situation score.

[0018] The parameters are defined as follows:

[0019] Pollution Load Index Score: Scored based on the potential for pollution source release and the amount of industrial wastewater discharged.

[0020] Historical pollution score: score is based on single factor index, historical pollution events, and typical organic pollutants.

[0021] Among them: The scoring criteria for the possibility of pollution source release are:

[0022] New pollution sources: The lowest score is set at 0.2.

[0023] Establishment time is between 1 and 5 years: score is set to 0.6;

[0024] Established 5 to 15 years ago or without protective measures: The highest score is set to 1.0.

[0025] The scoring criteria for industrial wastewater discharge are:

[0026] Low industrial wastewater discharge (≤1×10^3t / a): The lowest score is set to 1.

[0027] Medium industrial wastewater discharge (1,5]×10^3t / a): The score is medium, set to 2, where (1,5]×10^3t / a) means that the annual wastewater discharge is between 1,000 tons and 5,000 tons. The following data have similar meanings.

[0028] The industrial wastewater discharge volume is high (5,10]×10^3t / a): the score is high and is set to 4.

[0029] The industrial wastewater discharge is very high (10,50]×10^3t / a): the score is higher and is set to 6.

[0030] The industrial wastewater discharge is very high (50,100]×10^3t / a): the score is higher, set to 8.

[0031] The industrial wastewater discharge is extremely high (100,500]×10^3t / a): the score is higher and is set to 9.

[0032] The industrial wastewater discharge is extremely high (500,1000]×10^3t / a): the score is higher, set to 10.

[0033] Extremely high industrial wastewater discharge (>1000)×10^3t / a: The highest score is set to 12.

[0034] The scoring criteria for the single factor index are:

[0035] If there is historical detection data and the single factor index is greater than 100%, the score is the highest and is set to 100.

[0036] If there has been no historical pollution incident and the single factor index is greater than 50%, the score is medium and is set at 50.

[0037] If no historical pollution incidents have occurred and the single factor index is less than or equal to 50%, the score is the lowest and is set to 0.

[0038] The scoring criteria for historical pollution incidents are:

[0039] If there has been a historical pollution incident, the score is the highest and is set to 100.

[0040] If there has been no historical pollution incident, the score is the lowest and is set to 0.

[0041] The scoring criteria for typical organic pollutants are:

[0042] If the solid waste entering the landfill contains clear categories of pollutants or names of pollutants entering the landfill, the highest score will be set at 100.

[0043] If the solid waste entering the landfill does not contain clear categories or names of pollutants entering the landfill, the score will be the lowest and will be set to 0.

[0044] In a preferred embodiment, in step S2, the toxicity score formula is: toxicity score = acute toxicity score + carcinogenicity score

[0045] The parameter definition is:

[0046] Acute toxicity score: Scored based on the oral median lethal dose (LD50) of rats.

[0047] Carcinogenicity score: Score according to IARC carcinogen classification;

[0048] The scoring criteria for carcinogenicity are:

[0049] Scoring is based on IARC carcinogen classification.

[0050] IARC divides carcinogens into five categories: 1, 2A, 2B, 3, and 4, corresponding to levels 1 to 5.

[0051] Class 2A carcinogens score about 1, Class 2B carcinogens score about 2, Class 3 carcinogens score about 3, and Class 4 carcinogens score about 4.

[0052] In a preferred embodiment, in step S2, the path score formula is: path score = persistence score + mobility score + volatility score

[0053] The parameter definition is:

[0054] Persistence score: Scored based on biodegradability;

[0055] Mobility score: Score based on organic carbon adsorption constant;

[0056] Volatility score: Score based on Henry's coefficient;

[0057] The scoring criteria for persistence score is based on biodegradability. The higher the biodegradability, the lower the persistence and the lower the score. The mobility score is based on the organic carbon adsorption constant. The higher the organic carbon adsorption constant, the lower the mobility and the lower the score. The volatility score is based on the Henry coefficient. The higher the Henry coefficient, the higher the volatility and the higher the score.

[0058] In a preferred embodiment, in step S3, the calculation formula of the ITD index model is:

[0059] ITD score = source strength score × toxicity score × pathway score

[0060] In a preferred embodiment, in step S4, the calculation formula of the pollutant risk level is: ITD score / preset threshold=risk level

[0061] The preset thresholds are set based on the characteristics of the pollution sources, such as the amount of pollutant emissions, the type of pollutants and the production process, where:

[0062] Pollutant emissions: Pollution sources with large emissions may cause greater harm to the environment and set higher preset thresholds.

[0063] Type of pollutant: Some pollutants are highly toxic and may cause harm to the environment even at low concentrations, so higher preset thresholds are set.

[0064] Production process: Some production processes may produce more pollutants and set higher preset thresholds.

[0065] In a preferred embodiment, in step S6, the acute toxicity test formula is:

[0066] LC50 = k / (1-(log value-log mean) / standard deviation)

[0067] The parameter definition is:

[0068] LC50: Acute toxicity threshold, which is the concentration of pollutant at which 50% of organisms die.

[0069] k: constant, usually 4.

[0070] Logarithm: refers to the logarithm corresponding to the concentration of each group in the experiment.

[0071] Log mean: the average of the log values ​​of all experimental groups.

[0072] Standard Deviation: The standard deviation of the logarithmic values ​​of all experimental groups.

[0073] In a preferred embodiment, in step S6, the calculation formula for the chronic toxicity test is:

[0074] NOEC = k / (1-(log value-log mean) / standard deviation)

[0075] The parameter definition is:

[0076] NOEC: No-effect concentration, which is the highest concentration of a pollutant that has no toxic effect on organisms.

[0077] The definitions of other parameters are the same as those in the acute toxicity test.

[0078] In a preferred embodiment, in step S8, the step of integrating the toxicity test results (such as LC50, NOEC, carcinogenicity classification, etc.) with the scores of the three dimensions of source strength, toxicity, and pathway includes:

[0079] Data standardization: Ensure that the toxicity test results and the scores of the three dimensions of source strength, toxicity, and pathway are in the same dimension and range. If the data units or magnitudes are different, the data can be standardized by dividing by the maximum or minimum value, or using Z-score standardization.

[0080] Establish a scoring matrix: Create a scoring matrix that contains the toxicity test results of all pollutants and the scores of the four dimensions of source strength, toxicity, and pathway.

[0081] Calculate the correlation: Calculate the correlation between the toxicity test results and the scores of other dimensions. The correlation can reflect the degree of association between the toxicity test results and the source strength, toxicity, and pathway scores.

[0082] Integrated scoring: Based on the results of correlation analysis, determine the integration method between toxicity test results and source strength, toxicity, and pathway scores.

[0083] Verification and adjustment: Verify the integrated scores to ensure their rationality and accuracy.

[0084] Application of results: The integrated scores are used for comprehensive assessment to identify pollutants of concern. The comprehensive assessment can take into account preset thresholds to identify pollutants of different risk levels.

[0085] Preferably, the integrated scoring method is to integrate by direct weighted average.

[0086] Preferably, during the verification and adjustment, the scoring method may be adjusted according to the verification result to improve the reliability of the integration result.

[0087] In a preferred embodiment, in step S8, after selecting pollutants with higher risk levels as key pollutants, a list of priority pollutants for groundwater in industrial parks is formulated based on the comprehensive assessment results, listing the key pollutants and their toxicity thresholds and toxic effects. For the priority pollutants in the list, corresponding risk prevention and control measures are proposed, including: strengthening pollution source control and reducing pollutant emissions. Optimizing wastewater treatment processes, improving pollutant removal efficiency, establishing a groundwater monitoring network, regularly monitoring groundwater quality, carrying out groundwater pollution remediation and management, and reducing pollution risks.

[0088] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0089] 1. The pollutant screening and identification method according to the present invention can more accurately identify and evaluate potential risks. Through the comprehensive scoring method, the method first scores the source strength, toxicity and path of the pollutants, and conducts preliminary screening based on the scoring results to determine the pollutants of preliminary concern. This step helps to narrow the screening scope, reduce unnecessary evaluation work, and improve evaluation efficiency. At the same time, the ITD indicator model constructed based on the three dimensions of source strength, toxicity, and path can more comprehensively consider the potential risks of pollutants and provide a scientific basis for the evaluation results. In addition, the introduction of toxicity test results makes the evaluation results more accurate, because toxicity tests can provide the toxic effects and potential hazards of pollutants to organisms, providing experimental data support for the evaluation results.

[0090] 2. The pollutant screening and identification method according to the present invention can provide a scientific basis and technical support for the prevention and control of groundwater pollution in industrial parks. According to the comprehensive assessment results, a list of priority controlled pollutants for groundwater in industrial parks is formulated, listing key pollutants and their toxicity thresholds and toxic effects. For the priority controlled pollutants in the list, corresponding risk prevention and control measures are proposed, including strengthening pollution source control, optimizing wastewater treatment processes, establishing a groundwater monitoring network, and carrying out groundwater pollution remediation and management. The formulation and implementation of these measures will help reduce the risk of groundwater pollution in industrial parks and protect the environment and human health. DETAILED DESCRIPTION

[0091] Hereinafter, the present invention will be described in detail. Before describing, it should be understood that the terms used in this specification and the appended claims should not be interpreted as being limited to the general meaning and dictionary meaning, but should be interpreted according to the meaning and concept corresponding to the technical aspects of the present invention on the basis of the principle that the inventor is allowed to appropriately define the terms for the best interpretation. Therefore, the descriptions presented here are only preferred examples for illustrative purposes and are not intended to limit the scope of the present invention, so that it should be understood that other equivalents or improvements can be obtained therefrom without departing from the spirit and scope of the present invention.

[0092] In this document, the terms "include", "including", "have", "contain" or any other similar terms are open conjunctions, which are intended to cover non-exclusive inclusions. For example, a composition or product containing multiple elements is not limited to the elements listed herein, but may also include other elements that are not explicitly listed but are generally inherent to the composition or product. In addition, unless otherwise explicitly stated, the term "or" refers to an inclusive "or" rather than an exclusive "or". For example, any of the following situations satisfies the condition "A or B": A is true (or exists) and B is false (or does not exist), A is false (or does not exist) and B is true (or exists), and A and B are both true (or exist). In addition, in this document, the interpretation of the terms "include", "including", "have", and "contain" should be considered to have been specifically disclosed and simultaneously cover closed or semi-closed conjunctions such as "consisting of" and "consisting essentially of".

[0093] If the quantity or other numerical value or parameter is expressed as a range, a preferred range or a series of upper and lower limits, it should be understood that all ranges consisting of any upper limit or preferred value of the range and the lower limit or preferred value of the range have been specifically disclosed herein, regardless of whether these ranges are disclosed separately. In addition, if a numerical range is mentioned herein, unless otherwise specified, the range should include its endpoints and all integers and fractions within the range.

[0094] The following examples are only listed as examples of embodiments of the present invention and do not constitute any limitation to the present invention. It can be understood by those skilled in the art that modifications within the scope of the essence and concept of the present invention fall within the scope of protection of the present invention. Unless otherwise specified, the reagents and instruments used in the following examples are all commercially available products.

[0095] Example:

[0096] A method for screening and identifying groundwater pollutants in an industrial park is provided. In 2023, groundwater pollutants in an industrial park with industrial clusters in Shanghai are screened and identified. The method comprises the following steps:

[0097] S1: First, data collection and preliminary screening are carried out to collect information on pollution sources in industrial parks, including industrial types, production processes, raw materials and products, wastewater treatment facilities, and emissions. Historical monitoring data and environmental impact assessment reports of industrial parks are obtained to understand the history and current status of groundwater pollution. An initial pollutant list is established with reference to relevant research lists and standards at home and abroad, where emissions include chemical oxygen demand emissions, ammonia nitrogen emissions, total nitrogen emissions, petroleum emissions, volatile phenol emissions, wastewater arsenic emissions, wastewater lead emissions, wastewater mercury emissions, wastewater cadmium emissions, and wastewater hexavalent chromium emissions, etc.;

[0098] S2: Use a comprehensive scoring method to score the source strength, toxicity and pathway of pollutants in the initial pollutant list, and conduct preliminary screening based on the scoring results to determine the pollutants of initial concern;

[0099] S3: Based on the three dimensions of source strength, toxicity and pathway, an ITD index model is constructed to conduct a comprehensive assessment of key pollutants;

[0100] S4: Based on the ITD indicator model scores, pollutants are classified into high, medium and low risk levels to further narrow the screening scope;

[0101] S5: Selection of test species: Select species that are sensitive to pollutants, including aquatic organisms and microorganisms. Consider the representativeness and ecological niche of the test species, select species of different types and functions, and select zebrafish, carp, foxtail algae, duckweed, and activated sludge microorganisms as test species;

[0102] S6: Toxicity test: According to the characteristics of the pollutants and the toxic response of the test species, design a suitable toxicity test program and test the pollutants preliminarily classified as high-risk levels in step S4. The toxicity test program can be set as acute toxicity test, chronic toxicity test, ecotoxicity test, etc. to ensure the controllability and repeatability of the experimental conditions and the reliability of the experimental results.

[0103] S7: Perform statistical analysis on the experimental data to determine the toxicity threshold and toxicity effect of the pollutants;

[0104] S8: Comprehensively evaluate the laboratory toxicity test results and the preliminary screening results in data collection and step S3, and divide the pollutants into different risk levels again according to the preset threshold and the comprehensive score of the pollutants, set as low risk, medium risk, high risk, etc., and select the pollutants with higher high risk levels as the key pollutants. According to the screening and identification method of the present embodiment, nitrate nitrogen, nitrite nitrogen, arsenic, lead, mercury, chromium (hexavalent), carbon tetrachloride, 1,1-dichloroethylene, 1,2-dichloropropane, tetrachloroethylene, 1,1,1-trichloroethane, trichloroethylene, vinyl chloride, benzene, chlorobenzene, 1,3-dichlorobenzene, styrene, toluene, xylene, anthracene, benzopyrene, naphthalene, phthalates are screened as the key pollutants of groundwater pollutants in the industrial park.

[0105] In step S2, the source strength score formula is: source strength score = pollution load index score + historical pollution situation score parameter

[0106] Which defines:

[0107] Pollution Load Index Score: Scored based on the potential for pollution source release and the amount of industrial wastewater discharged.

[0108] Historical pollution score: Scoring is based on single factor index, historical pollution events, and typical organic pollutants;

[0109] Among them: The scoring criteria for the possibility of pollution source release are:

[0110] New pollution sources: The lowest score is set at 0.2.

[0111] Establishment time is between 1 and 5 years: the score is set to 0.6;

[0112] Established 5 to 15 years ago or without protective measures: the highest score is set at 1.0;

[0113] The scoring criteria for industrial wastewater discharge are:

[0114] Low industrial wastewater discharge (≤1×10^3t / a): The lowest score is set to 1.

[0115] Medium industrial wastewater discharge (1,5]×10^3t / a): The score is medium, set to 2, where (1,5]×10^3t / a) means that the annual wastewater discharge is between 1,000 tons and 5,000 tons. The following data have similar meanings.

[0116] The industrial wastewater discharge volume is high (5,10]×10^3t / a): the score is high and is set to 4.

[0117] The industrial wastewater discharge is very high (10,50]×10^3t / a): the score is higher and is set to 6.

[0118] The industrial wastewater discharge is very high (50,100]×10^3t / a): the score is higher, set to 8.

[0119] The industrial wastewater discharge is extremely high (100,500]×10^3t / a): the score is higher and is set to 9.

[0120] The industrial wastewater discharge is extremely high (500,1000]×10^3t / a): the score is higher, set to 10.

[0121] Extremely high industrial wastewater discharge (>1000)×10^3t / a: The highest score is set to 12.

[0122] The scoring criteria for the single factor index are:

[0123] If there is historical detection data and the single factor index is greater than 100%, the score is the highest and is set to 100.

[0124] If there has been no historical pollution incident and the single factor index is greater than 50%, the score is medium and is set at 50.

[0125] If no historical pollution incidents have occurred and the single factor index is less than or equal to 50%, the score is the lowest and is set to 0.

[0126] The scoring criteria for historical pollution incidents are:

[0127] If there has been a historical pollution incident, the score is the highest and is set to 100.

[0128] If there has been no historical pollution incident, the score is the lowest and is set to 0.

[0129] The scoring criteria for typical organic pollutants are:

[0130] If the solid waste entering the landfill contains clear categories of pollutants or names of pollutants entering the landfill, the highest score will be set at 100.

[0131] If the solid waste entering the landfill does not contain clear categories or names of pollutants entering the landfill, the score will be the lowest and will be set to 0.

[0132] In step S2, the toxicity score formula is: toxicity score = acute toxicity score + carcinogenicity score

[0133] The parameter definition is:

[0134] Acute toxicity score: Scored based on the oral median lethal dose (LD50) of rats.

[0135] Carcinogenicity score: Score is based on the IARC carcinogen classification.

[0136] The scoring criteria for carcinogenicity are:

[0137] Scoring is based on IARC carcinogen classification.

[0138] IARC divides carcinogens into five categories: 1, 2A, 2B, 3, and 4, corresponding to levels 1 to 5.

[0139] Class 2A carcinogens score about 1, Class 2B carcinogens score about 2, Class 3 carcinogens score about 3, and Class 4 carcinogens score about 4.

[0140] In step S2, the path score formula is: path score = persistence score + mobility score + volatility score

[0141] The parameter definition is:

[0142] Persistence score: A score based on biodegradability.

[0143] Mobility score: Score is based on the organic carbon adsorption constant.

[0144] Volatility score: Score based on Henry's coefficient.

[0145] The persistence score is scored based on biodegradability. The higher the biodegradability, the lower the persistence and the lower the score. The mobility score is scored based on the organic carbon adsorption constant. The higher the organic carbon adsorption constant, the lower the mobility and the lower the score. The volatility score is scored based on the Henry coefficient. The higher the Henry coefficient, the higher the volatility and the higher the score.

[0146] In step S3, the calculation formula of the ITD indicator model is:

[0147] ITD score = source strength score × toxicity score × pathway score

[0148] The formula for calculating the pollutant risk level is: ITD score / preset threshold=risk level

[0149] The preset thresholds are set based on the characteristics of the pollution sources, such as the amount of pollutant emissions, the type of pollutants and the production process, where:

[0150] Pollutant emissions: Pollution sources with large emissions may cause greater harm to the environment and set higher preset thresholds.

[0151] Type of pollutant: Some pollutants are highly toxic and may cause harm to the environment even at low concentrations, so higher preset thresholds are set.

[0152] Production process: Some production processes may produce more pollutants and set higher preset thresholds.

[0153] In step S6, acute toxicity test:

[0154] Formula: LC50 = k / (1-(logarithmic value-logarithmic mean) / standard deviation)

[0155] The parameter definition is:

[0156] LC50: Acute toxicity threshold, which is the concentration of pollutant at which 50% of organisms die.

[0157] k: constant, usually 4.

[0158] Logarithm: refers to the logarithm corresponding to the concentration of each group in the experiment.

[0159] Log mean: the average of the log values ​​of all experimental groups.

[0160] Standard Deviation: The standard deviation of the logarithmic values ​​of all experimental groups.

[0161] In step S6, the calculation formula for the chronic toxicity test is:

[0162] Formula: NOEC = k / (1-(log value-log mean) / standard deviation)

[0163] The parameter definition is:

[0164] NOEC: No-effect concentration, which is the highest concentration of a pollutant that has no toxic effect on organisms.

[0165] The definitions of other parameters are the same as those in the acute toxicity test.

[0166] In step S8, the step of integrating the laboratory toxicity test results (such as LC50, NOEC, carcinogenicity classification, etc.) with the scores of the three dimensions of source strength, toxicity, and pathway includes:

[0167] Data standardization: Ensure that the laboratory toxicity test results and the scores of the three dimensions of source strength, toxicity, and pathway are in the same dimension and range. If the data units or magnitudes are different, the data can be standardized by dividing by the maximum or minimum value, or using Z-score standardization.

[0168] Establish a scoring matrix: Create a scoring matrix that includes the laboratory toxicity test results of all pollutants and the scores of the four dimensions of source strength, toxicity, and pathway. The laboratory toxicity test results can be used as one dimension of the matrix, and the source strength, toxicity, and pathway scores can be used as other dimensions.

[0169] Calculate the correlation: Calculate the correlation between the laboratory toxicity test results and the scores of other dimensions. The correlation can reflect the degree of association between the laboratory toxicity test results and the source strength, toxicity, and pathway scores.

[0170] Integrated scoring: Based on the results of correlation analysis, determine the integration method between the laboratory toxicity test results and the source strength, toxicity, and pathway scores. Select direct weighted average for integration.

[0171] Verification and adjustment: Verify the integrated scores to ensure their rationality and accuracy. Based on the verification results, adjust the scoring method to improve the reliability of the integrated results.

[0172] Application of results: The integrated scores are used for comprehensive assessment to identify pollutants of concern. The comprehensive assessment can take into account preset thresholds to identify pollutants of different risk levels.

[0173] In step S8, after selecting pollutants with higher risk levels as key pollutants, a list of priority controlled pollutants for groundwater in industrial parks is formulated based on the comprehensive assessment results, listing the key pollutants and their toxicity thresholds and toxic effects. For the priority controlled pollutants in the list, corresponding risk prevention and control measures are proposed, including: strengthening pollution source control and reducing pollutant emissions. Optimizing wastewater treatment processes to improve pollutant removal efficiency. Establishing a groundwater monitoring network to regularly monitor groundwater quality. Carrying out groundwater pollution remediation and management to reduce pollution risks.

[0174] In the present invention, potential risks can be identified and evaluated more accurately. Through a comprehensive scoring method, the method first scores the source strength, toxicity and pathway of pollutants, and performs preliminary screening based on the scoring results to determine the pollutants of key concern. This step helps to narrow the screening range, reduce unnecessary evaluation work, and improve evaluation efficiency. At the same time, the ITD indicator model constructed based on the three dimensions of source strength, toxicity, and pathway can more comprehensively consider the potential risks of pollutants and provide a scientific basis for the evaluation results. In addition, the introduction of laboratory toxicity test results makes the evaluation results more accurate, because laboratory toxicity tests can provide the toxic effects and potential hazards of pollutants to organisms, providing experimental data support for the evaluation results.

[0175] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for screening and identifying groundwater pollutants in an industrial park, the method comprising the following steps: S1: First, conduct data collection and preliminary screening, collect information on pollution sources in industrial parks, and establish an initial pollutant list; S2: Use a comprehensive scoring method to score the pollutant source strength, toxicity and pathway in the initial pollutant list of step S1, and conduct preliminary screening based on the scoring results to determine the pollutants of preliminary concern; S3: Construct an ITD index model based on the three characteristics of pollutant source intensity, toxicity, and pathway to conduct a comprehensive assessment of preliminary pollutants; S4: Based on the ITD indicator model scores, pollutants are initially divided into high, medium and low risk levels to further narrow the screening scope; S5: Selection of species for toxicity tests: Select species that are sensitive to pollutants, including aquatic organisms and microorganisms; S6: Toxicity test: design an appropriate toxicity test plan based on the characteristics of the pollutants and the toxic response of the test species and conduct tests on the pollutants that are initially classified as high-risk levels in step S4; S7: Statistically analyzing the experimental data of the toxicity test in step S6 to determine the toxicity threshold and toxicity effect of the pollutant; S8: Comprehensively evaluate the toxicity test results in step S7 and the preliminary screening results in step S3, and divide the pollutants into different risk levels, such as low risk, medium risk, high risk, etc., according to the preset thresholds and the comprehensive scores of the pollutants, and select pollutants with high risk levels as key pollutants.

2. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: The pollution source information of the industrial park described in step S1 includes: the industrial type, production process, raw materials and products, wastewater treatment facilities, and emission volume of the enterprise, and obtains historical monitoring data and environmental impact assessment reports of the industrial park to understand the history and current status of groundwater pollution.

3. The method for screening and identifying groundwater pollutants in industrial parks according to claim 2, characterized in that: The emissions include chemical oxygen demand emissions, ammonia nitrogen emissions, total nitrogen emissions, petroleum emissions, volatile phenol emissions, wastewater arsenic emissions, wastewater lead emissions, wastewater mercury emissions, wastewater cadmium emissions and wastewater hexavalent chromium emissions, etc.

4. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: Considering the representativeness and ecological niche of the test species, at least two species of different types and functions should be selected as the test species for the toxicity test in step S5, including fish (e.g. zebrafish, rare minnow, carp, etc.), Daphnia (e.g. large Daphnia), algae (e.g. Chlorella, Scenedesmus obliquus, etc.), submerged plants (e.g. foxtail algae, Vallisneria, etc.), floating plants (e.g. duckweed) and activated sludge microorganisms.

5. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: The toxicity test scheme described in step S6 includes acute toxicity test, chronic toxicity test, ecotoxicity test, etc., to ensure the controllability and repeatability of the experimental conditions and the reliability of the experimental results.

6. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: In the step S2, preferably, the source strength score formula is: source strength score = pollution load index score + historical pollution situation score; The parameters are defined as follows: Pollution load index score: Scored based on the possibility of pollution source release and industrial wastewater discharge; Historical pollution score: Scoring is based on single factor index, historical pollution events, and typical organic pollutants; Among them: The scoring criteria for the possibility of pollution source release are: New pollution sources: the lowest score is set at 0.2; Establishment time is between 1 and 5 years: the score is set to 0.6; Established 5 to 15 years ago or without protective measures: the highest score is set at 1.0; The scoring criteria for industrial wastewater discharge are: Low industrial wastewater discharge (≤1×10^3t / a): the lowest score, set to 1; Moderate industrial wastewater discharge (1,5]×10^3t / a): medium score, set to 2; The industrial wastewater discharge is high (5,10]×10^3t / a): the score is high, set to 4; The industrial wastewater discharge is very high (10,50]×10^3t / a): the score is higher, set to 6; The industrial wastewater discharge is very high (50,100]×10^3t / a): the score is higher, set to 8; The industrial wastewater discharge is extremely high (100,500]×10^3t / a): the score is higher, set to 9; The industrial wastewater discharge is extremely high (500,1000]×10^3t / a): the score is higher, set to 10; Extremely high industrial wastewater discharge (>1000) × 10^3 t / a: the highest score, set to 12; The scoring criteria for the single factor index are: If there is historical detection data and the single factor index is greater than 100%, the score is the highest and is set to 100; If there has been no historical pollution incident and the single factor index is greater than 50%, the score is medium and is set to 50; If there is no historical pollution incident and the single factor index is less than or equal to 50%, the score is the lowest and is set to 0; The scoring criteria for historical pollution incidents are: If there has been a historical pollution incident, the highest score is set at 100; If there has been no historical pollution incident, the score is the lowest and is set to 0; The scoring criteria for typical organic pollutants are: If the solid waste entering the landfill contains a clear category or name of the pollutant entering the landfill, the highest score is set to 100; If the solid waste entering the landfill does not contain a clear category or name of the pollutant entering the landfill, the score is the lowest and is set to 0; Preferably, in step S2, the toxicity score formula is: toxicity score = acute toxicity score + carcinogenicity score The parameter definition is: Acute toxicity score: score is based on the oral median lethal dose (LD50) of rats; Carcinogenicity score: Score according to IARC carcinogen classification; The scoring criteria for carcinogenicity are: Scoring based on IARC carcinogen classification; IARC classifies carcinogens into five categories: 1, 2A, 2B, 3, and 4, corresponding to levels 1-5; Class 2A carcinogens score about 1, Class 2B carcinogens score about 2, Class 3 carcinogens score about 3, and Class 4 carcinogens score about 4; Preferably, in step S2, the path score formula is: path score = persistence score + mobility score + volatility score The parameter definition is: Persistence score: Scored based on biodegradability; Mobility score: Score based on organic carbon adsorption constant; Volatility score: Score based on Henry's coefficient; The scoring criteria for persistence score is based on biodegradability. The higher the biodegradability, the lower the persistence and the lower the score. The mobility score is based on the organic carbon adsorption constant. The higher the organic carbon adsorption constant, the lower the mobility and the lower the score. The volatility score is based on the Henry coefficient. The higher the Henry coefficient, the higher the volatility and the higher the score.

7. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: In step S3, the calculation formula of the ITD indicator model is: ITD score = source strength score × toxicity score × pathway score Preferably, in step S4, the calculation formula of the pollutant risk level is: ITD score / preset threshold=risk level The preset thresholds are set based on the characteristics of the pollution sources, such as the amount of pollutant emissions, the type of pollutants and the production process, where: Pollutant emissions: Pollution sources with large emissions may cause greater harm to the environment, so higher preset thresholds are set; Types of pollutants: Some pollutants are highly toxic and may cause harm to the environment even at low concentrations, so higher preset thresholds are set; Production process: Some production processes may produce more pollutants, setting higher preset thresholds; Preferably, in step S6, the acute toxicity test formula is: LC50 = k / (1-(log value-log mean) / standard deviation) The parameter definition is: LC50: acute toxicity threshold, which is the concentration of pollutant at which 50% of organisms die; k: constant, usually 4; Logarithm: refers to the logarithm corresponding to the concentration of each group in the experiment; Logarithmic mean: the average of the logarithmic values ​​of all experimental groups; Standard deviation: the standard deviation of the logarithmic values ​​of all experimental groups; Preferably, in step S6, the calculation formula for the chronic toxicity test is: NOEC = k / (1-(log value-log mean) / standard deviation) The parameter definition is: NOEC: No-effect concentration, which is the highest concentration of a pollutant that has no toxic effect on an organism; The definitions of other parameters are the same as those in the acute toxicity test.

8. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: In step S8, the step of integrating the toxicity test results (such as LC50, NOEC, carcinogenicity classification, etc.) with the scores of the three dimensions of source strength, toxicity, and pathway includes: Data standardization: Ensure that the toxicity test results and the scores of the three dimensions of source strength, toxicity, and pathway are in the same dimension and range. If the data units or magnitudes are different, the data can be standardized by dividing by the maximum or minimum value, or using Z-score standardization; Establish a scoring matrix: Create a scoring matrix that contains the toxicity test results of all pollutants and the scores of the four dimensions of source strength, toxicity, and pathway; Calculate correlation: Calculate the correlation between toxicity test results and other dimension scores; Integrated scoring: Based on the results of correlation analysis, determine the integration method between toxicity test results and source strength, toxicity, and pathway scores; Verification and adjustment: Verify the integrated scores to ensure their rationality and accuracy; Application of results: The integrated scores are used for comprehensive assessment to determine the pollutants of concern. The comprehensive assessment can consider preset thresholds to determine pollutants of different risk levels; Preferably, the integrated scoring method is to integrate by direct weighted average; Preferably, during the verification and adjustment, the scoring method may be adjusted according to the verification result to improve the reliability of the integration result.

9. The method for screening and identifying groundwater pollutants in industrial parks according to claim 1, characterized in that: In step S8, after selecting pollutants with higher risk levels as key pollutants, a list of priority controlled pollutants for groundwater in the industrial park is formulated based on the comprehensive assessment results, listing the key pollutants and their toxicity thresholds and toxic effects; For the priority pollutants in the list, corresponding risk prevention and control measures are proposed, including: strengthening pollution source control, reducing pollutant emissions, optimizing wastewater treatment processes, improving pollutant removal efficiency, establishing a groundwater monitoring network, regularly monitoring groundwater quality, and carrying out groundwater pollution remediation and treatment.