A method for predicting the migration of pollutants in a site
By establishing a conceptual site model and determining the work level, and using corresponding prediction strategies to predict pollutant migration, the problems of neglect of internal soil migration and insufficient causal accuracy in the existing technology are solved, and more efficient and accurate pollutant migration prediction is achieved. .
Patent Information
- Application Number
- CN202210557423.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-05-20
- Publication Date
- 2024-12-10
- Estimated Expiration
- 2042-05-20
AI Technical Summary
The prior art ignores internal soil migration in pollutant migration prediction, and the analysis method based on conceptual model is difficult to meet the accuracy requirements of causal relationships, resulting in large workload and inaccurate predictions.
By establishing a conceptual site model, obtaining environmental information, determining the work level, and using corresponding prediction strategies to predict pollutant migration based on the level, including using formulas (1) and formulas (2) to predict pollutant migration distance and path.
The workload is reduced, and when the work level is the first level, formula (2) is used to obtain accurate prediction results of pollutant migration path and maximum migration distance, which improves the accuracy and efficiency of prediction.
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Figure CN114965180B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of environmental geotechnical engineering, and in particular to a method for predicting the migration of pollutants at a site. Background Art
[0002] For environmental damage caused by soil contamination at the site, existing technologies point out that the necessary technical means should be used to analyze the pollution source in combination with information such as the characteristics of the damage event, site environmental conditions, soil and groundwater pollution status, etc. obtained during the identification and assessment preparation and damage investigation and confirmation stages; a conceptual model should be constructed, and investigations on pollution media and carriers should be conducted to propose a hypothesis on the migration path of characteristic pollutants from the pollution source to the receptor, and the migration path should be verified through rationality and continuity analysis of the migration path; based on the results of pollution source analysis and migration path verification, it should be analyzed whether there is a causal relationship between the polluting environmental behavior and the damage.
[0003] However, when predicting the migration of pollutants at existing sites, users use the same workflow to make predictions, which results in a heavy workload and a waste of human resources.
[0004] At the same time, existing technical site pollutant migration predictions focus more on groundwater, often ignoring migration within the soil, and do not provide a clear explanation of how to assume and verify the migration path. Moreover, this conceptual model-based analysis method is difficult to meet the needs of causal relationship determination in terms of accuracy. Summary of the invention
[0005] 1. Technical issues to be resolved
[0006] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a method for predicting the migration of pollutants on a site, which solves the technical problems that the prior art ignores the migration within the soil and does not give a clear explanation of how to assume and verify the migration path, and the analytical method based on the conceptual model is difficult to meet the requirements of causal relationship determination in terms of accuracy.
[0007] (II) Technical solution
[0008] In order to achieve the above object, the main technical solutions adopted by the present invention include:
[0009] An embodiment of the present invention provides a method for predicting pollutant migration at a site, comprising:
[0010] S1. Inputting the pre-acquired environmental information into the pre-established site conceptual model, and obtaining the output corresponding result information of the site conceptual model;
[0011] S2. Determine the work level corresponding to the site based on the result information and / or the predetermined industry category to which the pollution project on the site belongs;
[0012] S3. Based on the work level corresponding to the site, the pollutant migration of the site is predicted using the prediction strategy corresponding to the work level to obtain a prediction result.
[0013] Preferably, the S1 specifically includes:
[0014] The site conceptual model determines the sensitivity of the site based on the input environmental information using pre-set sensitivity determination rules, and determines the environmental pollution level of the site using pre-set pollution level determination rules.
[0015] Preferably,
[0016] The pre-acquired environmental information includes first environmental information;
[0017] The first environmental information is used to input the pre-established site concept model into the first environmental information, and the output of the site concept model corresponds to the sensitivity of the site and the environmental pollution degree of the site.
[0018] Preferably, the S2 specifically includes:
[0019] The sensitivity of the site, the environmental pollution level of the site and / or the predetermined industry category to which the pollution project on the site belongs are matched with the pre-set grade judgment conditions to determine the work grade corresponding to the site.
[0020] Preferably, the S3 specifically includes:
[0021] If the work level corresponding to the site is the third level, it is determined that no prediction is required for the site.
[0022] Preferably, the S3 specifically includes:
[0023] If the work level corresponding to the site is the second level, the pollutant migration of the site is predicted using formula (1) to obtain the prediction result;
[0024] The prediction results include: the maximum migration distance of pollutants;
[0025] The formula (1) is:
[0026]
[0027] L max Indicates the maximum migration distance of pollutants;
[0028] v represents the average pore water velocity;
[0029] ω represents the first-order adsorption rate coefficient.
[0030] Preferably, the S3 specifically includes:
[0031] If the work level corresponding to the site is the first level, then according to the pre-acquired environmental information, the pollutant migration of the site is predicted using formula (2) to obtain the prediction result;
[0032] The prediction results include: the migration path of pollutants and the maximum migration distance of pollutants;
[0033] The formula (2) is:
[0034]
[0035] Among them, θ represents the volumetric water content;
[0036] ρ b is the bulk density;
[0037] f represents the proportion of equilibrium adsorption sites;
[0038] K d is the distribution coefficient;
[0039] c represents the concentration of liquid phase pollutants;
[0040] s k Indicates the concentration of adsorbed pollutants at the kinetic point;
[0041] D sh represents the hydrodynamic dispersion coefficient;
[0042] ω represents the first-order adsorption rate coefficient;
[0043] v represents the average pore water velocity;
[0044] t represents time;
[0045] z represents the spatial coordinate in the direction of pollutant migration.
[0046] (III) Beneficial effects
[0047] The beneficial effects of the present invention are as follows: the pollutant migration prediction method of a site of the present invention determines the working level corresponding to the site based on the result information and / or the predetermined industry category to which the pollution project on the site belongs, and based on the working level corresponding to the site, adopts the prediction strategy corresponding to the working level to predict the pollutant migration of the site. Compared with the prior art, it can adopt different prediction strategies for different working levels to predict the pollutant migration of the site, thereby reducing the workload, and when the working level is the first level, the formula (2) is used to obtain accurate prediction results. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1A flow chart of a method for predicting the migration of pollutants at a site according to the present invention;
[0049] Figure 2 The present invention is a flowchart of a method for predicting the migration of pollutants in a site according to an embodiment of the present invention. DETAILED DESCRIPTION
[0050] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.
[0051] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.
[0052] In order to predict the distribution characteristics of pollutants in the soil and groundwater of the site (that is, the target site) and their temporal and spatial trends, infer the scope of pollution diffusion, quantify the rate of pollution diffusion, and analyze the extent to which pollution receptors are affected. Figure 1 and Figure 2 This embodiment provides a method for predicting the migration of pollutants in a site, including:
[0053] S1. Input the pre-acquired environmental information into the pre-established site concept model, and obtain the output result information corresponding to the site concept model.
[0054] In the actual application of this embodiment, the pre-acquired environmental information may include: pre-staged collection of site overview, hydrogeological conditions, pollution sources, soil and groundwater pollution assessment results, basic conditions of soil and groundwater environmental damage, and collection of relevant information such as geological maps of the survey area, borehole columnar diagrams, geological profiles, geological structure maps, hydrogeological maps, site soil configuration, soil structure, soil texture, stratum lithology and its distribution, bedrock fissure development, site groundwater storage conditions, aquifer distribution (burial depth, thickness, lithology), hydrogeological unit division, groundwater drainage conditions and key hydrogeological parameters.
[0055] The detailed content of the environmental information obtained in advance should be able to explain in detail the properties of soil and groundwater pollution sources, pollutant emission characteristics, pollution pathways, and the relationship between pollution sources and receptors (human health, biodiversity).
[0056] In a specific embodiment, the pre-acquired environmental information should at least include first environmental information; the first environmental information is used to input the pre-established site conceptual model into the first environmental information, and the output of the site conceptual model corresponds to the sensitivity of the site and the degree of environmental pollution of the site.
[0057] The pre-established site conceptual model in this embodiment can obtain a generalization of the site's hydrogeological conditions, identify the site's main pollutants, the site's environmental sensitivity, and the site's environmental pollution level through pre-acquired environmental information.
[0058] In another implementation of this embodiment, the pre-established site conceptual model determines the sensitivity of the site based on the input environmental information using a pre-set sensitivity determination rule, and determines the environmental pollution level of the site using a pre-set pollution level determination rule.
[0059] S2. Determine the work level corresponding to the site based on the result information and / or the predetermined industry category to which the pollution project on the site belongs.
[0060] S3. Based on the work level corresponding to the site, the pollutant migration of the site is predicted using the prediction strategy corresponding to the work level to obtain a prediction result.
[0061] The site conceptual model determines the sensitivity of the site based on the input environmental information and the preset sensitivity determination rules, as shown in the following example:
[0062] If a first preset area exists within the preset range of the site, the sensitivity level of the site is determined to be sensitive.
[0063] The first pre-set areas include residential areas, schools, hospitals, quasi-protected areas of centralized drinking water sources, etc. These are merely examples, and not all of the first pre-set areas are listed.
[0064] If a second preset area exists within the preset range of the site, the sensitivity of the site is determined to be relatively sensitive.
[0065] The second preset areas include: recharge runoff areas outside the centralized drinking water source quasi-protection area, decentralized application water sources, etc. These are merely examples, and not all second preset areas are listed.
[0066] If a third preset area exists within the preset range of the site, the sensitivity level of the site is determined to be insensitive.
[0067] The third preset region is another region other than the first preset region and the second preset region.
[0068] The site conceptual model determines the environmental pollution degree of the site based on the input environmental information and the preset pollution level determination rules. The specific implementation method is illustrated as follows:
[0069] The site conceptual model determines the Nemerow pollution index of all pre-determined single points in the site based on the input environmental information, and determines the environmental pollution degree of the site based on the Nemerow pollution index of all single points in the site, specifically including:
[0070] When the Nemerow pollution index of a single point is less than or equal to 0.7, it is determined that the environmental pollution degree of the single point is the first pollution level.
[0071] When the Nemerow pollution index of a single point is greater than 0.7 and less than or equal to 1, the environmental pollution degree of the single point is determined to be the second pollution level.
[0072] When the Nemerow pollution index of a single point is greater than 1 and less than or equal to 2, it is determined that the environmental pollution degree of the single point is the third pollution level.
[0073] When the Nemerow pollution index of a single point is greater than 2 and less than or equal to 3, it is determined that the environmental pollution degree of the single point is the fourth pollution level.
[0074] When the Nemerow pollution index of a single point is greater than or equal to 3, it is determined that the environmental pollution level of the single point is the fifth pollution level.
[0075] Finally, the average value of the environmental pollution levels of all single points predetermined within the site is taken as the comprehensive pollution level of the site.
[0076] In the practical application of this embodiment, S2 specifically includes:
[0077] The sensitivity of the site, the environmental pollution level of the site, and / or the industry category of the pollution project on the site are matched with the pre-set level judgment conditions to determine the work level corresponding to the site. The specific method is illustrated as follows:
[0078] If the environmental sensitivity of the site is insensitive, the work level corresponding to the site is determined to be the third level.
[0079] If the industry category to which the pollution project on the site belongs is the third category, the environmental sensitivity of the site is relatively sensitive, and the environmental pollution level of the site is not higher than the first pollution level, then the working level corresponding to the site is determined to be the third level.
[0080] If the industry category to which the pollution project on the site belongs is the third category, the environmental sensitivity of the site is sensitive, the comprehensive pollution level of the site is greater than or equal to the second pollution level and less than or equal to the third pollution level, and the highest single-point pollution level is greater than or equal to the fourth pollution level and less than or equal to the fifth pollution level, then the working level corresponding to the site is determined to be the second level.
[0081] If the industry category to which the pollution project on the site belongs is the second category, the environmental sensitivity of the site is relatively sensitive, the comprehensive pollution level is greater than or equal to the second pollution level and less than or equal to the third pollution level, and the highest single-point pollution level is greater than or equal to the fourth pollution level and less than or equal to the fifth pollution level, then the working level corresponding to the site is determined to be the second level.
[0082] If the industry category to which the pollution project on the site belongs is the second category, the environmental sensitivity of the site is sensitive, the comprehensive pollution level is greater than the second pollution level, and the highest single-point pollution level reaches the fifth pollution level, then the working level corresponding to the site is determined to be the first level.
[0083] If the industry category to which the pollution project on the site belongs is the first category, the environmental sensitivity of the site is relatively sensitive, the comprehensive pollution level is greater than the second pollution level, and the highest single-point pollution level reaches the fifth pollution level, then the working level corresponding to the site is determined to be the first level.
[0084] If the industry category to which the pollution project on the site belongs is the first category, the environmental sensitivity of the site is sensitive, and the comprehensive pollution level is greater than the second pollution level, then the work level corresponding to the site is determined to be the first level.
[0085] In this embodiment, when the same site involves two or more types of pollution projects, the work levels should be determined separately and the evaluation level work should be carried out according to the corresponding levels.
[0086] For areas where the survey data meets the assessment work level requirements, the corresponding migration prediction work will be carried out directly; for areas that do not meet the assessment work level requirements, additional data will be collected, and more in-depth soil and hydrogeological surveys and tests, pollution migration surveys and monitoring work will be carried out when necessary.
[0087] In the practical application of this embodiment, S3 specifically includes:
[0088] If the work level corresponding to the site is the third level, it is determined that no prediction is required for the site.
[0089] In the practical application of this embodiment, S3 specifically includes:
[0090] If the working level corresponding to the site is the second level, the pollutant migration of the site is predicted using formula (1) to obtain the prediction result.
[0091] The prediction results include: the maximum migration distance of pollutants;
[0092] The formula (1) is:
[0093]
[0094] L max Indicates the maximum migration distance of pollutants.
[0095] v represents the average pore water velocity.
[0096] ω represents the first-order adsorption rate coefficient.
[0097] Specifically, when the working level corresponding to the site is the second level, after obtaining the maximum migration distance of the pollutant, the user can verify the maximum migration distance of the pollutant and actually go to the maximum migration distance of the site to collect information to see whether there are pollutants or whether the pollutant concentration at that location reaches the risk screening value.
[0098] After verification by the user, the user can write a report, which should fully reflect the entire work of pollutant simulation prediction and assessment, including:
[0099] The generalization of the soil and groundwater pollution status of the site should describe the basic environmental conditions of the site, the degree and scope of pollution, the soil and groundwater pollution problems and possible causes of the site, summarize the results of pollution source analysis, analyze the migration and transformation mechanism of pollutants and the characteristics of pollution receptors. The analysis and discussion of the prediction results should be expressed in writing to explain the future development trend of site pollution.
[0100] Specifically, users can determine the boundary conditions of site moisture and pollutants based on the pre-acquired environmental information analysis. And identify and locate the source of pollution by combining the spatial distribution characteristics of the main pollution indicators of the site, the hydrogeochemical characteristics, and the industry-specific pollution indicators. According to the hydrogeological conditions of the site and the location of the pollution source, clarify the pollution pathways of pollutants entering the soil and groundwater, the contaminated soil and aquifers, and the release forms and release laws of pollutants. The pollution pathways are generalized into three pathways: infiltration, atmospheric deposition, and surface flow; the release forms of pollutants are generalized into point sources or surface sources; and the release laws are generalized into continuous constant release or discontinuous constant release. Qualitative analysis is conducted on the physical migration process and biogeochemical transformation process of the main pollutants in the soil and groundwater of the site to determine whether the main pollutants have migration and transformation processes such as adsorption, decay, degradation, reaction, volatilization, variable density flow, and multiphase flow.
[0101] In the practical application of this embodiment, S3 specifically includes:
[0102] If the work level corresponding to the site is the first level, then according to the pre-acquired environmental information, the pollutant migration of the site is predicted using formula (2) to obtain the prediction result.
[0103] The prediction results include: the migration path of pollutants and the maximum migration distance of pollutants.
[0104] The formula (2) is:
[0105]
[0106] Here, θ represents the volumetric water content.
[0107] ρ b For bulk density.
[0108] f represents the proportion of equilibrium adsorption sites.
[0109] K d is the distribution coefficient.
[0110] c represents the liquid phase pollutant concentration.
[0111] s k Represents the concentration of adsorbed pollutants at the kinetic point.
[0112] D sh represents the hydrodynamic dispersion coefficient.
[0113] ω represents the first-order adsorption rate coefficient.
[0114] v represents the average pore water velocity.
[0115] t represents time;
[0116] z represents the spatial coordinate in the direction of pollutant migration.
[0117] Specifically, when the work level corresponding to the site is the first level, after obtaining the pollutant migration path and the maximum migration distance of the pollutants in the site, the user can verify the maximum migration distance of the pollutant, and actually collect information at the maximum migration distance of the site to see whether there are pollutants, or whether the pollutant concentration at that location reaches the risk screening value. At the same time, the user can also verify the pollutant migration path in the site, that is, collect pollutant information at a certain point on the pollutant migration path in the site. After the user's verification, the user can write a report, which includes: The generalization of the soil and groundwater pollution status of the site should describe the basic environmental conditions of the site, the degree and scope of pollution, the soil and groundwater pollution problems and possible causes of the site, summarize the results of pollution source analysis, and analyze the pollutant migration and transformation mechanism and pollution receptor characteristics. The analysis and discussion of the prediction results are expressed in text to explain the future development trend of site pollution.
[0118] In the present embodiment, a method for predicting the migration of pollutants at a site is provided. Based on the result information and / or the predetermined industry category to which the pollutant project at the site belongs, the work level corresponding to the site is determined. Based on the work level corresponding to the site, a prediction strategy corresponding to the work level is used to predict the migration of pollutants at the site. Compared with the prior art, different prediction strategies can be used for different work levels to predict the migration of pollutants at the site, thereby reducing the workload. When the work level is the first level, formula (2) is used to obtain accurate prediction results.
[0119] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0120] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions.
[0121] It should be noted that in the claims, any reference numerals placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In the claims enumerating several means, several of these means may be embodied by the same hardware. The use of the words first, second, third, etc., is for convenience of expression only and does not indicate any order. These words may be understood as part of the component name.
[0122] In addition, it should be noted that, in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.
[0123] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments after knowing the basic creative concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.
[0124] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include these modifications and variations.
Claims
1. A method for predicting the migration of pollutants at a site, characterized in that: include: S1. Inputting the pre-acquired environmental information into the pre-established site conceptual model, and obtaining the corresponding result information output by the site conceptual model; S2. Determine the work level corresponding to the site based on the result information and / or the predetermined industry category to which the pollution project on the site belongs; S3. Based on the work level corresponding to the site, the pollutant migration of the site is predicted using the prediction strategy corresponding to the work level to obtain a prediction result; The S1 specifically includes: The site conceptual model determines the sensitivity of the site based on the input environmental information using the pre-set sensitivity determination rules, and determines the environmental pollution level of the site using the pre-set pollution level determination rules; The pre-acquired environmental information includes first environmental information; The first environmental information is used to input the pre-established site concept model into the first environmental information, and the site concept model outputs the sensitivity of the corresponding site and the environmental pollution degree of the site; The S2 specifically includes: The sensitivity of the site, the environmental pollution level of the site and / or the industry category to which the pollution project on the site belongs are matched with the pre-set level judgment conditions to determine the work level corresponding to the site; The S3 specifically includes: If the work level corresponding to the site is the third level, it is determined that the site does not need to be predicted; The S3 specifically includes: If the work level corresponding to the site is the second level, the pollutant migration of the site is predicted using formula (1) to obtain the prediction result; The prediction results include: the maximum migration distance of pollutants; The formula (1) is: L max Indicates the maximum migration distance of pollutants; v represents the average pore water velocity; ω represents the first-order adsorption rate coefficient; The S3 specifically includes: If the work level corresponding to the site is the first level, then according to the pre-acquired environmental information, the pollutant migration of the site is predicted using formula (2) to obtain the prediction result; The prediction results include: the migration path of pollutants and the maximum migration distance of pollutants; The formula (2) is: Among them, θ represents the volumetric water content; ρ b is the bulk density; f represents the proportion of equilibrium adsorption sites; K d is the distribution coefficient; c represents the concentration of liquid phase pollutants; s k It represents the concentration of adsorbed pollutants at the kinetic point; D sh represents the hydrodynamic dispersion coefficient; ω represents the first-order adsorption rate coefficient; v represents the average pore water velocity; t represents time; z represents the spatial coordinate in the direction of pollutant migration.
Citation Information
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