CN111353720A - Method for identifying high-risk pollutants in regional soil environment - Google Patents
Method for identifying high-risk pollutants in regional soil environment Download PDFInfo
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Abstract
The invention discloses a method for identifying high-risk pollutants in regional soil environment, which comprises the following steps: step one, summarizing a list of potential soil pollutants according to enterprise production activities in an area; secondly, stationing and sampling, and detecting and analyzing by contrasting a list of potential soil pollutants; step three, counting the detection rate and the standard exceeding rate of the detected pollutants, and performing normalization processing; step four, according to a formula R1＝X1×a+X2× b calculating R1(ii) a Forming a list of alternative pollutants by taking the top 10 from high to low; establishing a comprehensive scoring system, wherein the comprehensive scoring system comprises carcinogenicity, non-carcinogenic health toxicity, ecological toxicity, biodegradability, mobility and volatility of pollutants, selecting characterization indexes of all scoring factors and grading and assigning values, and the grading factors of the pollutants are assigned, and the first 5 pollutants seriously polluted are taken to form a high-risk pollutant list; step six, aiming at the high risk pollutant listAnd (5) monitoring and controlling periodically. The invention has the advantages of high efficiency, comprehensive measurement indexes and the like.
Description
Technical Field
The invention belongs to the technical field of soil pollution prevention and control and environmental risk identification, relates to a method for identifying pollutants in a soil environment, and particularly relates to a method for identifying high-risk pollutants in a regional soil environment.
Background
Soil is an important natural resource and provides the most basic material foundation for the living of organisms and the development of human society. Meanwhile, the soil environment is also influenced by natural factors and artificial activities, and becomes a sink for various pollutants including heavy metals, organic matters and the like. Soil environment is concerned with human living environment safety and food safety, and is therefore increasingly concerned by regulatory departments and the public of society. In order to strengthen pollution supervision and make pollution prevention, a soil environment quality monitoring network needs to be built, monitoring is regularly carried out on the peripheries of major supervision enterprises and industrial parks, and results are used as important basis for environment law enforcement and risk early warning. However, soil environment monitoring and supervision is wide in scope, large in quantity and high in economic cost, and 85 pollutants listed in the soil pollution risk management and control standards (trial) for soil environment quality construction land (GB36600-2018) cannot be detected all at once. In addition, the types of pollutants discharged by industrial production activities are various, high-risk characteristic pollutants in partial regions may not be in 85 pollutant lists determined by national standards, and the potential environmental safety hazard is increased continuously due to the fact that the pollutants are not timely brought into monitoring and supervision. Therefore, a method for identifying high-risk pollutants in a soil environment is needed to monitor and manage important pollutants in a targeted manner.
The identification method of the high-risk pollutants mostly focuses on the field of water and atmospheric environment, but soil pollution has the characteristics of concealment, hysteresis, accumulation and the like, the exposure ways to human groups and organisms are various, and the identification method of the high-risk pollutants of water and gas cannot be simply set. And the health risks generated by the exposure of the population to the soil pollutants are calculated by a scholars based on a multi-way exposure evaluation model according to the technical guide for evaluating the risk of the soil pollution of the construction land, so that risk ranking is realized. However, the method is specific to a specific exposure situation under specific use of a specific polluted plot, is small in application scale and not suitable for high-risk soil pollutant identification at an area level, and in addition, an evaluation object only covers crowd health risks without considering factors such as ecological hazard, mobility and persistence of soil pollutants. Therefore, the characteristics of the soil environment need to be fully considered, and an identification method suitable for high-risk pollutants in a regional scale is established.
Disclosure of Invention
The invention provides a method for identifying high-risk pollutants in a regional soil environment, which overcomes the defects of the prior art.
In order to achieve the above object, the present invention provides a method for identifying high risk pollutants in regional soil environment, comprising the following steps: step one, summarizing and forming a list of potential soil pollutants according to the production activities of local production and historical industrial enterprises; secondly, performing stationing sampling on the regional soil, and then detecting and analyzing the collected soil sample by contrasting a list of potential soil pollutants; step three, summarizing all detected pollutants in the area, counting the detection rate and the standard exceeding rate of each pollutant, and respectively carrying out normalization processing; step four, according to a formula R1＝X1×a+X2× b calculate R for each contaminant1Wherein X is1Is normalized value of the detection rate of the pollutants, a is a screening coefficient of the detection rate, a is more than 0 and less than 0.5, X2Is normalized value of pollutant exceeding rate, b is screening coefficient of exceeding rate, b is more than 0.5 and less than 1, and a + b is equal to1; total detection of contaminants according to R1Sorting the values from high to low, and taking the pollutants in the top 10 of the list to form an alternative pollutant list; step five, establishing a comprehensive scoring system aiming at the alternative pollutant list, wherein scoring factors of the comprehensive scoring system comprise carcinogenicity, non-carcinogenic health toxicity, ecological toxicity, biodegradability, mobility and volatility of pollutants, selecting characterization indexes of the scoring factors, grading and assigning values of the characterization indexes, assigning values of the scoring factors of the comprehensive pollutants, and comparing the values, and taking the first 5 pollutants with serious pollution to form a high-risk pollutant list; and sixthly, carrying out regular monitoring and control on the high-risk pollutant list.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: in the fifth step, the characterization indexes and the numerical value grading assignment standards of all the scoring factors are as follows: the characterization index of carcinogenicity is carcinogenic slope factor SF with unit of kg-d/mg and X3Representing an oncogenic assignment when SF>1 time, X3Is 50, when SF is more than or equal to 0.1 and less than or equal to 1, X3Is 30 when SF<At 0.1, X3Is 10, when SF has no value, X3Is 0; the non-carcinogenic health toxicity is characterized by a non-carcinogenic reference dose RfD in mg/kg-d, measured by X4Represents a non-carcinogenic health toxicity assignment when RfD<At 0.01, X4Is 50, when 0.01-RfD-0.1, X4At RfD when being 30>At 0.1, X4Is 10; the characterization index of the ecotoxicity is semi-lethal dose LC50In mg/kg, with X5Represents an eco-toxicity assignment when LC50<50 times, X5Is 30, when 50 is less than or equal to LC50When less than or equal to 500, X5Is 10 when LC50>At 500, X5Is 5; the characterization index of the biodegradability is the biotransformation and degradation coefficient KbBy X6Represents a biodegradability value, when Kb>1E-7 is, X6Is 5, when 1E-8 is not more than KbWhen less than or equal to 1E-7, X6Is 10, when Kb<1E-8 is, X6Is 30; the characterization index of the mobility is the distribution coefficient K of the soil solid phase-water pollutantsdIn the unit ofL/kg, with X7Represents a migratory assignment when Kd<At 10 times, X7Is 20, when K is more than or equal to 10dWhen less than or equal to 1000, X7Is 10, when Kd>At 1000 times, X7Is 5; the volatility is characterized by a dimensionless Henry constant H' using X8Represents a migratory assignment of H'>At 0.1, X8Is 20, when H' is more than or equal to 0.001 and less than or equal to 0.1, X8Is 10, when H'<At 0.001, X8Is 5.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: wherein, in the fifth step, according to the formula R2＝R1×50+X3×0.6+X4×0.4+X5×0.6+X6×0.4+X7×0.7+X8× 0.3.3 comprehensive scores were made for the contaminants and R was calculated for each contaminant2According to R2The values are sorted from high to low, and the pollutant at the top 5 of the column is the pollutant with serious pollution at the top 5.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: wherein, in the third step, the detection rate and the standard exceeding rate of each pollutant are calculated according to a formula X*Normalizing (X-Min)/(Max-Min), wherein X is the detection rate or the exceeding rate of the pollutants to be normalized, Min is the minimum value of the detection rate or the exceeding rate of all the detected pollutants, Max is the maximum value of the detection rate or the exceeding rate of all the detected pollutants, and X is*Is a normalized value.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: in the third step, for the detected pollutants, comparing with soil pollution risk management and control standards (trial) for soil environment quality construction land GB36600-2018 to determine whether the pollutants exceed standards; for pollutants without evaluation criteria, the exceeding rate is counted by the detection rate.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: wherein, in the fourth step, the formula R1＝X1×a+X2× b, a is 0.3 and b is 0.7.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: in the first step, the specific summary content of the list of potential soil pollutants is as follows: raw and auxiliary materials and discharged pollutant types related to production activities of production and historical industrial enterprises in the area.
Further, the invention provides a method for identifying high-risk pollutants in regional soil environment, which can also have the following characteristics: and in the second step, the regional soil is subjected to distribution sampling according to a grid method, and sampling points are preferentially distributed on the periphery of a pollution treatment facility, a waste storage facility, an underground pipeline and a sewage discharge port of an industrial enterprise.
The invention has the beneficial effects that: the invention provides a method for identifying high-risk pollutants in regional soil environment, which is mainly used for screening, monitoring and priority management of the high-risk pollutants in the regional soil environment by combining carcinogenicity, non-carcinogenic health toxicity, ecotoxicity, durability, mobility, solubility and volatility characteristics of the pollutants on the basis of combing, detecting and analyzing the regional potential characteristic pollutants and realizing identification of the high-risk soil pollutants through a grading assignment and weighting evaluation method.
Firstly, the pollutant identification range is gradually reduced through a step-by-step method, a potential soil pollutant list is formed according to production raw and auxiliary materials of regional industrial enterprises and pollutant emission analysis, an alternative pollutant list is formed through regional gridding soil sampling detection, and finally a high-risk pollutant list is formed through comprehensive screening according to pollutant key characteristic indexes, so that the identification efficiency is high.
In the process of identifying the high-risk pollutants, the method not only pays attention to the influence of the human health of the pollutants, but also covers key indexes of ecological toxicity and biodegradability, can reflect the potential threat degree of the pollutants to regional ecological safety, and has a comprehensive identification system.
In the process of identifying the high-risk pollutants, the invention not only pays attention to the toxic and harmful effects of the pollutants on human bodies and ecology, but also covers key indexes representing mobility and volatility from the perspective of an environmental system, so that the possibility that soil pollutants enter underground water and atmospheric environment media to migrate and diffuse to influence the ecological environment safety can be reflected, the identification systematicness is strong, and the long-term monitoring and control significance of the identified high-risk pollutants is more obvious.
Drawings
FIG. 1 is a flow chart of the identification of high risk contaminants in a regional soil environment.
Detailed Description
The present invention is further illustrated by the following specific examples.
As shown in fig. 1, the present invention provides a method for identifying high risk contaminants in a regional soil environment.
This embodiment is discerned high risk pollutant in certain chemical industry garden soil environment, includes following step:
step one, the chemical industry park occupies about 2 square kilometers, and is mainly a fine chemical industry enterprise. The method is characterized in that a potential soil pollutant list is formed by combing raw and auxiliary materials related to production activities of various industrial enterprises in a park, discharged pollutants, and 30 potential soil pollutants including benzene, toluene, ethylbenzene, chlorobenzene, o-xylene, m-xylene, p-xylene, 1, 2-dichlorobenzene, 1, 4-dichlorobenzene, 1,2, 4-trichlorobenzene, dichloromethane, 1, 2-dichloroethane, 1, 2-dichloropropane, hexachlorobenzene, benzo [ a ] pyrene, naphthalene, anthracene, fluorene, pyrene, acenaphthene, benzo (a) anthracene, benzo (b) fluoranthene, benzo (k) fluoranthene, dibenzo (a, h) anthracene, diethyl phthalate, petroleum hydrocarbon (C10-C40), 3-dichlorobenzidine, 2-nitrophenol, aniline and methyl chloride are gathered.
Secondly, carrying out point distribution sampling on the regional soil according to a grid method (100 meters × 100 meters), preferentially distributing sampling points at the peripheries of a pollution treatment facility, a waste storage facility, an underground pipeline and a sewage discharge port of an industrial enterprise, distributing 200 point positions in total, and then detecting and analyzing the collected soil sample by contrasting a list of potential soil pollutants.
And step three, detecting 19 pollutants in the soil sample collected in the region, and counting the detection rate and the standard exceeding rate of each pollutant. And comparing GB36600-2018 standard for managing and controlling soil pollution risk of soil environment quality construction land (trial) to determine whether the pollutants exceed the standard or not. 1,2,4 trichlorobenzene, 3-dichlorobenzidine and 2-nitrophenol have no evaluation standard, and the overproof rate is calculated according to the detection rate.
According to formula X*Normalizing the detection rate and the overproof rate of each pollutant as (X-Min)/(Max-Min), wherein X is the detection rate or the overproof rate of the pollutant to be normalized, Min is the minimum value of the detection rate or the overproof rate of all the detected pollutants, Max is the maximum value of the detection rate or the overproof rate of all the detected pollutants, and X is the maximum value of the detection rate or the overproof rate of all the detected pollutants*Is a normalized value.
The statistical and normalization results are shown in table 1.
Step four, according to a formula R1＝X1×a+X2× b calculate R for each contaminant1Wherein X is1Is normalized value of the detection rate of the pollutants, a is a screening coefficient of the detection rate, a is more than 0 and less than 0.5, X2The standard exceeding rate of the pollutants is a normalized value, b is a screening coefficient of the standard exceeding rate, b is more than 0.5 and less than 1, and a + b is equal to 1.
In this example, a is 0.3 and b is 0.7. I.e. according to the formula R1＝X1×0.3+X2× 0.7.7 calculate R for each contaminant1All detected contaminants are according to their R1The values are ordered from high to low, with the top 10 contaminants forming a list of alternative contaminants including 1,2,4 trichlorobenzene, 1, 2-dichloroethane, hexachlorobenzene, benzene, toluene, benzo [ a ] benzene]Pyrene, naphthalene, chlorobenzene, anthracene, ethylbenzene, as shown in table 1.
TABLE 1 statistical table of regional soil pollutant detection results
And fifthly, establishing a comprehensive scoring system aiming at the alternative pollutant list, wherein scoring factors of the comprehensive scoring system comprise carcinogenicity, non-carcinogenic health toxicity, ecological toxicity, biodegradability, mobility and volatility of pollutants, selecting characterization indexes of the scoring factors, grading and assigning values of the characterization indexes, assigning values to the scoring factors of the comprehensive pollutants, and taking the first 5 pollutants with serious pollution to form a high-risk pollutant list.
Wherein the carcinogenicity of the contaminant is characterized by a carcinogenic slope factor (SF, kg-d/mg); characterizing the non-carcinogenic health toxicity of the contaminant at a non-carcinogenic reference dose (RfD, mg/kg-d); in a semi-lethal dose (LC)50Mg/kg) represents the ecological toxicity of the pollutant and reflects the degree of harm of the pollutant to organisms; by the biotransformation and degradation coefficients (K)b) Representing biodegradability and reflecting the difficulty degree of biodegradation of pollutants; by the distribution coefficient (K) of soil solid phase-water pollutantdL/kg) characterizing the mobility of the pollutants, reflecting the capacity of soil pollutants to migrate into a water phase; the volatility of the contaminants is characterized by their dimensionless henry constant (H'), which reflects the ability of soil contaminants to volatize into the air. Each characterization index was calculated according to methods conventional in the art. The numerical grading assignment criteria for each characterization index are shown in table 2.
TABLE 2 pollutant Property index grading assignment criteria
Characterization index data of carcinogenicity, non-carcinogenic health toxicity, ecotoxicity, biodegradability, mobility and volatility of 10 candidate pollutants in the candidate pollutant list are collected and are shown in table 3.
TABLE 3 alternative contaminant characterization index values
| Serial number | Name of contaminant | SF | RfD | LD50 | Kb | Kd | H’ |
| 1 | Chlorobenzene | / | 2.00E-02 | 2.29E+03 | 3.00E-09 | 3.30E+02 | 1.27E-01 |
| 2 | Hexachlorobenzene | 1.60E+00 | 8.00E-04 | 3.50E+03 | 3.00E-12 | 1.20E+06 | 6.95E-02 |
| 3 | 1,2,4 trichlorobenzene | / | 1.00E-02 | 7.56E+02 | 1.00E-10 | 9.20E+03 | 8.19E-02 |
| 4 | Benzene and its derivatives | 5.50E-02 | 4.00E-03 | 3.31E+03 | 1.00E-07 | 6.50E+01 | 2.27E-01 |
| 5 | Toluene | / | 8.00E-02 | 5.00E+03 | 1.00E-07 | 3.00E+02 | 2.27E-01 |
| 6 | Ethylbenzene production | 1.10E-02 | 1.00E-01 | 3.50E+03 | 3.00E-09 | 1.10E+03 | 3.22E-01 |
| 7 | 1, 2-dichloroethane | 9.10E-02 | 6.00E-03 | 6.70E+02 | 1.00E-10 | 1.40E+01 | 4.82E-02 |
| 8 | Naphthalene | / | 2.00E-02 | 4.90E+02 | 1.00E-07 | 9.40E+02 | 1.80E-02 |
| 9 | Anthracene | / | 3.00E-01 | 4.30E+02 | 3.00E-08 | 1.40E+04 | 2.27E-03 |
| 10 | Benzo [ a ]]Pyrene | 1.00E+00 | 3.00E-04 | 5.00E+02 | 3.00E-12 | 5.50E+06 | 1.87E-05 |
The values were assigned according to the hierarchical assignment criteria and the results are shown in table 4.
According to formula R2＝R1×50+X3×0.6+X4×0.4+X5×0.6+X6×0.4+X7×0.7+X8× 0.3.3 comprehensive scores were made for the contaminants and R was calculated for each contaminant2According to R2The values are sorted from high to low, and the sorting results are shown in table 4. The first 5 contaminants are those which are the most contaminated with the first 5 contaminants, and are taken to form a list of high risk contaminants, namely hexachlorobenzene, 1,2,4 trichlorobenzene, benzo [ a ]]Pyrene, 1, 2-dichloroethane and benzene are high-risk pollutants in the soil of the chemical industrial park. Wherein the 1,2,4 trichlorobenzene is not in the range of 85 indexes covered by the national standard, and is the regional high-risk characteristic pollutant identified by using the method.
TABLE 4 evaluation of characterization index of alternative pollutant characteristics and comprehensive ranking results
| Serial number | Name of contaminant | X3 | X4 | X5 | X6 | X7 | X8 | R2 |
| 1 | Hexachlorobenzene | 50 | 50 | 5 | 30 | 5 | 10 | 89.5 |
| 2 | 1,2,4 trichlorobenzene | 0 | 30 | 5 | 30 | 5 | 10 | 83.5 |
| 3 | Benzo [ a ]]Pyrene | 30 | 50 | 10 | 30 | 5 | 5 | 71 |
| 4 | 1, 2-dichloroethane | 10 | 50 | 5 | 30 | 10 | 10 | 69.5 |
| 5 | Benzene and its derivatives | 10 | 50 | 5 | 10 | 10 | 20 | 57.5 |
| 6 | Ethylbenzene production | 10 | 30 | 5 | 30 | 5 | 20 | 51 |
| 7 | Chlorobenzene | 0 | 30 | 5 | 30 | 10 | 20 | 49.5 |
| 8 | Toluene | 0 | 30 | 5 | 10 | 10 | 20 | 42 |
| 9 | Naphthalene | 0 | 30 | 10 | 10 | 10 | 10 | 41.5 |
| 10 | Anthracene | 0 | 10 | 10 | 10 | 5 | 10 | 29.5 |
And sixthly, the chemical industry park is required to regularly monitor high-risk pollutants such as hexachlorobenzene, 1,2,4 trichlorobenzene, benzo [ a ] pyrene, 1, 2-dichloroethane and benzene and serve as key objects for subsequent pollution control.
Claims (8)
1. A method for identifying high-risk pollutants in regional soil environment is characterized by comprising the following steps:
the method comprises the following steps:
step one, summarizing and forming a list of potential soil pollutants according to the production activities of local production and historical industrial enterprises;
secondly, performing stationing sampling on regional soil, and then detecting and analyzing the collected soil sample by contrasting the list of potential soil pollutants;
step three, summarizing all detected pollutants in the area, counting the detection rate and the standard exceeding rate of each pollutant, and respectively carrying out normalization processing;
step four, according to a formula R1＝X1×a+X2× b calculate R for each contaminant1Wherein X is1Is normalized value of the detection rate of the pollutants, a is a screening coefficient of the detection rate, a is more than 0 and less than 0.5, X2The standard exceeding rate of the pollutants is a normalized value, b is a screening coefficient of the standard exceeding rate, b is more than 0.5 and less than 1, and a + b is equal to 1;
total detection of contaminants according to R1Sorting the values from high to low, and taking the pollutants in the top 10 of the list to form an alternative pollutant list;
step five, establishing a comprehensive scoring system aiming at the alternative pollutant list, wherein scoring factors of the comprehensive scoring system comprise carcinogenicity, non-carcinogenic health toxicity, ecological toxicity, biodegradability, mobility and volatility of pollutants, selecting characterization indexes of the scoring factors, grading and assigning values of the characterization indexes, assigning values of the scoring factors of the comprehensive pollutants, and comparing the values, and taking the first 5 pollutants with serious pollution to form a high-risk pollutant list;
and sixthly, carrying out regular monitoring and control on the high-risk pollutant list.
2. The method for identifying high risk contaminants in a regional soil environment of claim 1, wherein:
in the fifth step, the characterization indexes and the numerical value grading assignment standards of all the scoring factors are as follows:
the characterization index of carcinogenicity is carcinogenic slope factor SF with the unit of kg-d/mg and X3Representing an oncogenic assignment when SF>1 time, X3Is 50, when SF is more than or equal to 0.1 and less than or equal to 1, X3Is 30 when SF<At 0.1, X3Is 10, when SF has no value, X3Is 0;
the characterization index of the non-carcinogenic health toxicity is a non-carcinogenic reference dose RfD with the unit of mg/kg-d and X4Represents a non-carcinogenic health toxicity assignment when RfD<At 0.01, X4Is 50, when 0.01-RfD-0.1, X4At RfD when being 30>At 0.1, X4Is 10;
the characterization index of the ecotoxicity is semi-lethal dose LC50In mg/kg, with X5Represents an eco-toxicity assignment when LC50<50 times, X5Is 30, when 50 is less than or equal to LC50When less than or equal to 500, X5Is 10 when LC50>At 500, X5Is 5;
the characterization index of the biodegradability is biotransformation and degradation coefficient KbBy X6Represents a biodegradability value, when Kb>1E-7 is, X6Is 5, when 1E-8 is not more than KbWhen less than or equal to 1E-7, X6Is 10, when Kb<1E-8 is, X6Is 30;
the characterization index of the mobility is the distribution coefficient K of the soil solid phase-water pollutantsdIn units of L/kg, with X7Represents a migratory assignment when Kd<At 10 times, X7Is 20, when K is more than or equal to 10dWhen less than or equal to 1000, X7Is 10, when Kd>At 1000 times, X7Is 5;
the characterization index of volatility is dimensionless Henry constant H' with X8Represents a migratory assignment of H'>At 0.1, X8Is 20, when H' is more than or equal to 0.001 and less than or equal to 0.1, X8Is 10, when H'<At 0.001, X8Is 5.
3. The method for identifying high risk contaminants in a regional soil environment of claim 2, wherein:
wherein, in the fifth step, according to the formula R2＝R1×50+X3×0.6+X4×0.4+X5×0.6+X6×0.4+X7×0.7+X8× 0.3.3 comprehensive scores were made for the contaminants and R was calculated for each contaminant2According to R2The values are sorted from high to low, and the pollutant at the top 5 of the column is the pollutant with serious pollution at the top 5.
4. The method for identifying high risk contaminants in a regional soil environment of claim 1, wherein:
wherein in the third step, theThe detection rate and the standard exceeding rate of each pollutant are calculated according to a formula X*Normalizing (X-Min)/(Max-Min), wherein X is the detection rate or the exceeding rate of the pollutants to be normalized, Min is the minimum value of the detection rate or the exceeding rate of all the detected pollutants, Max is the maximum value of the detection rate or the exceeding rate of all the detected pollutants, and X is*Is a normalized value.
5. The method for identifying high risk contaminants in a regional soil environment of claim 1, wherein:
in the third step, for the detected pollutants, comparing with soil pollution risk management and control standards (trial) for soil environment quality construction land GB36600-2018 to determine whether the pollutants exceed standards;
for pollutants without evaluation criteria, the exceeding rate is counted by the detection rate.
6. The method for identifying high risk contaminants in a regional soil environment of claim 1, wherein:
wherein, in the fourth step, the formula R1＝X1×a+X2× b, a is 0.3 and b is 0.7.
7. The method for identifying high risk contaminants in a regional soil environment of claim 1, wherein:
in the first step, the specific summary content of the list of potential soil pollutants is as follows: raw and auxiliary materials and discharged pollutant types related to production activities of production and historical industrial enterprises in the area.
8. The method for identifying high risk contaminants in a regional soil environment of claim 1, wherein:
and in the second step, the regional soil is subjected to distribution sampling according to a grid method, and sampling points are preferentially distributed on the periphery of a pollution treatment facility, a waste storage facility, an underground pipeline and a sewage discharge port of an industrial enterprise.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112153A (en) * | 2021-04-13 | 2021-07-13 | 中国科学院生态环境研究中心 | Method, system, terminal and medium for screening and listing pollutants in reclaimed water |
| CN113611373A (en) * | 2021-08-04 | 2021-11-05 | 中国环境科学研究院 | Biotoxicity normalization method for evaluating ecological risk of soil pollution and application thereof |
| CN113743719A (en) * | 2021-07-29 | 2021-12-03 | 华北电力科学研究院有限责任公司 | Method and device for evaluating comprehensive soil pollution risk caused by solid waste |
| CN116341918A (en) * | 2023-05-26 | 2023-06-27 | 生态环境部土壤与农业农村生态环境监管技术中心 | Method and device for identifying industry characteristic pollutants and computer equipment |
| CN117030949A (en) * | 2023-09-27 | 2023-11-10 | 北京德众国良环保科技有限公司 | Precise regulation and control method and system for identifying different pollutant types |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020133302A1 (en) * | 2001-03-15 | 2002-09-19 | Hitachi, Ltd. | Environmental performance improvement support system and environmental performance improvement support method |
| CN101706904A (en) * | 2009-11-25 | 2010-05-12 | 国家海洋环境监测中心 | Determination method of list of prior-controlled pollutants in off-shore area of China |
| CN101750472A (en) * | 2008-12-05 | 2010-06-23 | 中国科学院沈阳应用生态研究所 | Method for judging and screening low-accumulation plants |
| CN101976302A (en) * | 2010-10-11 | 2011-02-16 | 刘征涛 | Method for screening contaminants to be preferentially monitored in environment water quality of chemical industry park |
| CN102830211A (en) * | 2012-09-10 | 2012-12-19 | 济南市环境保护科学研究院 | Method for screening emergency pollutant composite indicators of water pollution source |
| CN102880800A (en) * | 2012-09-25 | 2013-01-16 | 常州大学 | Regional soil environment priority control pollutant screening method based on health risk |
| CN102999709A (en) * | 2012-12-20 | 2013-03-27 | 中国环境科学研究院 | Underground water grading and zoning evaluation method in agricultural activity area |
| CN103413057A (en) * | 2013-08-23 | 2013-11-27 | 中国环境科学研究院 | River basin water body particular pollutant screening method based on carcinogenic risks and application thereof |
| CN103606106A (en) * | 2013-11-29 | 2014-02-26 | 中国环境科学研究院 | Screening method of pesticide particular pollutants in agricultural region soil and underground water |
| CN106934491A (en) * | 2017-02-23 | 2017-07-07 | 北京农业信息技术研究中心 | A kind of soil restoring technology screening technique and device |
| KR102007480B1 (en) * | 2018-10-30 | 2019-08-05 | 강원대학교산학협력단 | An Evaluation Method for Ecotoxicity Test Using Spore-forming Bacteria |
| CN110441478A (en) * | 2019-07-31 | 2019-11-12 | 淮阴师范学院 | A kind of river ecological environmental data on-line monitoring method, system and storage medium |
-
2020
- 2020-03-13 CN CN202010175053.2A patent/CN111353720B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020133302A1 (en) * | 2001-03-15 | 2002-09-19 | Hitachi, Ltd. | Environmental performance improvement support system and environmental performance improvement support method |
| CN101750472A (en) * | 2008-12-05 | 2010-06-23 | 中国科学院沈阳应用生态研究所 | Method for judging and screening low-accumulation plants |
| CN101706904A (en) * | 2009-11-25 | 2010-05-12 | 国家海洋环境监测中心 | Determination method of list of prior-controlled pollutants in off-shore area of China |
| CN101976302A (en) * | 2010-10-11 | 2011-02-16 | 刘征涛 | Method for screening contaminants to be preferentially monitored in environment water quality of chemical industry park |
| CN102830211A (en) * | 2012-09-10 | 2012-12-19 | 济南市环境保护科学研究院 | Method for screening emergency pollutant composite indicators of water pollution source |
| CN102880800A (en) * | 2012-09-25 | 2013-01-16 | 常州大学 | Regional soil environment priority control pollutant screening method based on health risk |
| CN102999709A (en) * | 2012-12-20 | 2013-03-27 | 中国环境科学研究院 | Underground water grading and zoning evaluation method in agricultural activity area |
| CN103413057A (en) * | 2013-08-23 | 2013-11-27 | 中国环境科学研究院 | River basin water body particular pollutant screening method based on carcinogenic risks and application thereof |
| CN103606106A (en) * | 2013-11-29 | 2014-02-26 | 中国环境科学研究院 | Screening method of pesticide particular pollutants in agricultural region soil and underground water |
| CN106934491A (en) * | 2017-02-23 | 2017-07-07 | 北京农业信息技术研究中心 | A kind of soil restoring technology screening technique and device |
| KR102007480B1 (en) * | 2018-10-30 | 2019-08-05 | 강원대학교산학협력단 | An Evaluation Method for Ecotoxicity Test Using Spore-forming Bacteria |
| CN110441478A (en) * | 2019-07-31 | 2019-11-12 | 淮阴师范学院 | A kind of river ecological environmental data on-line monitoring method, system and storage medium |
Non-Patent Citations (4)
| Title |
|---|
| NICOLAS PAYET: "Evidence of soil pollution by nitrates derived from pig effluent using 18O and 15N isotope analyses", 《AGRONOMY FOR SUSTAINABLE DEVELOPMENT》 * |
| 余勤飞: "煤矿工业场地土壤污染评价及再利用研究——以平朔煤矿为例", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 姜永梅: "《垃圾填埋场地下水污染调查评估技术》", 30 June 2018 * |
| 崔健: "沈阳市城郊表层土壤有机污染评价", 《生态学报》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112153A (en) * | 2021-04-13 | 2021-07-13 | 中国科学院生态环境研究中心 | Method, system, terminal and medium for screening and listing pollutants in reclaimed water |
| CN113112153B (en) * | 2021-04-13 | 2023-06-06 | 中国科学院生态环境研究中心 | Regenerated water optimal control pollutant screening and inventory precipitation method, system, terminal and medium |
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| CN113743719B (en) * | 2021-07-29 | 2024-03-01 | 华北电力科学研究院有限责任公司 | Method and device for evaluating comprehensive pollution risk of solid waste to soil |
| CN113611373A (en) * | 2021-08-04 | 2021-11-05 | 中国环境科学研究院 | Biotoxicity normalization method for evaluating ecological risk of soil pollution and application thereof |
| CN116341918A (en) * | 2023-05-26 | 2023-06-27 | 生态环境部土壤与农业农村生态环境监管技术中心 | Method and device for identifying industry characteristic pollutants and computer equipment |
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