Pollutant concentration quantitative evaluation method, device and equipment and readable storage medium

Abstract

The invention relates to a pollutant concentration quantitative evaluation method, device and equipment and a readable storage medium, and the method comprises the steps: building a land parcel characteristic parameter database, a VOCs database and an MIP signal database of a target site based on a preliminary soil survey result and a first MIP system survey result; calculating an interpolation calculation result of the target site based on the land parcel characteristic parameter database, the VOCs database and an interpolation algorithm; based on the MIP signal database and a weight algorithm, calculating weight information of each pollutant in the target site; and determining a quantitative evaluation result corresponding to each pollutant in the target site based on the obtained detailed survey result of the MIP system, the weight of each pollutant at different positions and a quantitative analysis method. According to the method, the in-situ detection advantage of the MIP technology is utilized, the volatile loss of VOCs in the investigation process is reduced, and the accuracy and timeliness of soil pollution investigation are improved. And meanwhile, quantitative characterization of the MIP signal on a single VOCs index is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of soil pollution environment investigation, and in particular to a pollutant concentration quantitative assessment method, device, equipment and readable storage medium. Background Art

[0002] In order to accurately assess the status of soil pollution and provide a scientific basis for soil remediation and risk management, a three-stage procedure for soil pollution status investigation has been clarified, and it is required to use scientific and reasonable methods for on-site sampling and laboratory analysis.

[0003] The second phase of soil pollution status survey is the pollution confirmation phase mainly based on sampling and analysis, which can usually be divided into two steps: preliminary sampling and analysis and detailed sampling and analysis. In the second phase of soil pollution status survey, the current survey method mainly relies on impact drilling (SH-30 drilling rig, etc.) and hydraulic drilling (Geoprobe-HPT drilling rig, etc.) to carry out on-site drilling sampling, and the collected samples are transported to laboratories with relevant qualifications such as CMA for testing and analysis. There are many forms of volatile organic compounds (VOCs) in environmental media such as soil and groundwater in industrial contaminated sites, including adsorption, non-aqueous phase liquid (NAPL), soil water, and soil gas.

[0004] However, the current survey method for collecting soil VOCs can only reflect the pollution of the first three phases. In addition, measures such as methanol protection are used during sampling and transportation, and VOCs in soil samples will still have varying degrees of volatilization losses, resulting in low sampling results or even complete distortion.

[0005] In view of this, the Membrane Interface Probe (MIP) technology came into being. This technology can achieve in-situ detection of four phases of VOCs in the soil (including adsorbed state, non-aqueous phase liquid, soil water and soil gas) through a semi-permeable membrane and detector system mounted on a direct-push drill. The MIP detector is equipped with multiple detectors such as PID, FID and XSD, which can detect different types of VOCs respectively, with high sensitivity and accuracy.

[0006] However, although MIP technology can collect four phases of VOCs in the soil, due to the limitation of its on-site portable detection equipment, it can only achieve semi-quantitative determination of the total concentration of VOCs, and cannot quantitatively characterize the concentration of a single VOCs indicator. This has limited the application scope of MIP technology in soil pollution status investigation to a certain extent. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a method, device, equipment and readable storage medium for quantitative evaluation of pollutant concentration.

[0008] The technical solution of the present invention to solve the above technical problems is as follows:

[0009] In the first aspect, the present application provides a method for quantitatively evaluating pollutant concentration, which adopts the following technical solution:

[0010] A method for quantitatively assessing pollutant concentrations, comprising:

[0011] Obtaining a preliminary soil survey result of the target site and a first MIP system survey result corresponding to the preliminary soil survey result; wherein the preliminary soil survey result includes first soil sampling analysis data corresponding to each of a plurality of first sampling points, and the first MIP system survey result includes second soil sampling analysis data corresponding to a plurality of second sampling points corresponding to the area where each of the first sampling points is located, each of the first soil sampling analysis data includes stratum structure, soil texture, soil moisture content, hydrogeological conditions, at least one VOCs pollutant type and the corresponding content of each VOCs pollutant type, and each of the second soil sampling analysis data includes a MIP electrical signal value;

[0012] Based on the preliminary soil survey results and the first MIP system survey results, a land feature parameter database, a VOCs database and a MIP signal database of the target site are established, wherein the land feature parameter database includes parameters characterizing the soil geology and hydrogeology of each of the first sampling points, the VOCs database includes parameters characterizing the type and concentration of VOCs pollutants at each of the first sampling points, and the MIP signal database includes parameters characterizing the concentration of pollutants at each of the first sampling points, soil information and MIP system electrical signal values ​​of the second sampling points corresponding to each first sampling point;

[0013] Performing interpolation calculation based on the plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain an interpolation calculation result of the target site, wherein the interpolation calculation result characterizes the concentration or influence range of each pollutant in the target site at different spatial locations;

[0014] Calculating the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm;

[0015] Based on the interpolation calculation result, obtaining a second MIP system survey result of the target site, where the second MIP system survey result is a detailed sampling result of the MIP system in the soil pollution status survey;

[0016] Based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method, the quantitative evaluation results corresponding to each pollutant in the target site are determined.

[0017] The beneficial effects of the present invention are as follows: the first MIP system survey results and the second MIP system survey results are obtained by using the MIP system drilling survey technology, and the MIP survey technology can directly obtain and characterize the VOCs pollution status of the soil and groundwater of the target site on site, saving a lot of time cost and sample detection and analysis cost, and improving the accuracy, reliability, timeliness and economy of the soil pollution status survey. Reduce the volume of waste contaminated soil and groundwater caused by traditional drilling methods, reduce soil and groundwater samples, and the disposal expenses of waste contaminated soil and groundwater generated during the drilling process.

[0018] By integrating the preliminary soil survey results and the MIP system survey results, not only the basic soil information such as stratum structure, soil texture, soil moisture content, and hydrogeological conditions are taken into consideration, but also the specific types and contents of VOCs (volatile organic compounds) pollutants and the electrical signal values ​​provided by the MIP system (such as conductivity, resistivity, etc.) are combined to construct a detailed plot characteristic parameter database, VOCs database, and MIP signal database, which can objectively characterize the pollutant situation and soil conditions of the target site.

[0019] By using the interpolation algorithm to perform spatial interpolation calculations on the pollutant concentration or impact range of the target site, it is possible to preliminarily predict the concentration distribution and impact range of pollutants in different spatial locations and formulate a detailed investigation plan; through the preset pollutant weight algorithm, the weight of each pollutant in different spatial locations is calculated, and the detailed investigation results of the MIP system in the second phase are introduced and combined with the database and weight allocation results established in the early stage, the quantitative characterization of individual VOCs indicators in the detailed investigation results of the MIP system is realized.

[0020] Based on the above technical solution, the present invention can also be improved as follows.

[0021] Furthermore, the interpolation calculation is performed based on the land plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain the interpolation calculation result of the target site, including:

[0022] Acquiring site distribution information of the target site, wherein the site distribution information includes different contaminated areas, and the contaminated area is any one of a production area, a contaminant material storage area, a sewage treatment area, and an activity area;

[0023] Based on the preset pollution classification rules, the site distribution information, the land plot characteristic parameter database and the VOCs database, the target site is classified to obtain multiple initial pollution categories of the target site;

[0024] Extracting interpolation input information corresponding to each of the initial pollution categories from the land plot characteristic parameter database and the VOCs database, wherein for each of the initial pollution categories, the interpolation input information at least includes the concentration and location of the pollutant;

[0025] Based on the interpolation input information corresponding to each of the initial pollution categories and the preset interpolation calculation rules, predict the spatial distribution information of pollutants corresponding to multiple target pollution categories, wherein the target pollution category is any one or more combinations of each of the initial pollution categories;

[0026] Based on the spatial distribution information of pollutants corresponding to the plurality of target pollution categories, an interpolation calculation result of the target site is determined.

[0027] The beneficial effect of adopting the above further scheme is that by combining the detailed data in the plot characteristic parameter database and the VOCs database, the distribution of pollutants in the target site and the influence of soil information (such as hydrogeological conditions) on the migration and diffusion of pollutants can be more accurately reflected, thereby improving the prediction accuracy of the spatial distribution of pollutants. By dividing the target site into multiple specific pollution categories, each category represents a different pollution status and environmental conditions, it is convenient to have a more comprehensive understanding of the behavioral characteristics of pollutants.

[0028] Furthermore, based on the preset pollution classification rules, the site distribution information, the land plot characteristic parameter database and the VOCs database, the target site is classified to obtain multiple initial pollution categories of the target site, including:

[0029] According to the types of different pollutants in the VOCs database, the target site is divided into a plurality of first pollution categories;

[0030] Classifying the target site into a plurality of second pollution categories according to different soil types in the land plot characteristic parameter database;

[0031] According to the preset soil depth, the target site is divided into multiple third pollution categories;

[0032] According to different pollution areas in the site distribution information, the target site is divided into a plurality of fourth pollution categories;

[0033] Based on the site distribution information, determining at least one pollutant corresponding to each of the different polluted areas in the VOCs database;

[0034] Based on the corresponding concentration of at least one pollutant corresponding to each of the polluted areas and a preset sampling point selection rule, determining a plurality of target points corresponding to each of the polluted areas;

[0035] Determining a plurality of fifth pollution categories of the target site according to different target points;

[0036] Based on all the first pollution categories, the second pollution categories, the third pollution categories, the fourth pollution categories and the fifth pollution categories of the target site, a plurality of initial pollution categories of the target site are obtained.

[0037] The beneficial effect of adopting the above further scheme is: by combining multiple dimensions such as pollutant types in the VOCs database, soil information in the plot characteristic parameter database, preset soil depth, contaminated areas in the site distribution information, and target points, the target site is comprehensively and finely divided into pollution categories. This multi-dimensional division method can more accurately reflect the complexity and diversity of pollutants in the target site. By dividing by pollutant type, the main pollution sources and pollutants can be identified; by dividing by soil information and soil depth, the migration and diffusion laws of pollutants under different geological conditions can be understood; by dividing by contaminated areas and target points, the spatial distribution and concentration changes of pollutants can be accurately grasped.

[0038] Furthermore, the predicting of pollutant spatial distribution information corresponding to a plurality of target pollution categories based on the interpolation input information corresponding to each of the initial pollution categories and a preset interpolation calculation rule includes:

[0039] For each of the initial pollution categories, selecting a corresponding interpolation algorithm based on the pollution category;

[0040] For each of the initial pollution categories, based on the selected interpolation algorithm and the interpolation input information, calculate the corresponding interpolation calculation results of each of the pollution categories;

[0041] Based on the interpolation calculation results corresponding to each of the initial pollution categories, the pollutant spatial distribution information corresponding to multiple target pollution categories is calculated.

[0042] The beneficial effect of adopting the above further scheme is that according to the characteristics of different pollution categories, a suitable interpolation algorithm can be flexibly selected, and by performing independent interpolation calculations for each pollution category, the specific conditions and influencing factors under different categories are fully considered, so as to more accurately predict the spatial site distribution information of pollutants.

[0043] Furthermore, the site distribution information of the target site also includes the distribution of functional areas of the target site, the historical evolution of land use, meteorological and climate conditions, and surrounding pollution conditions. Before obtaining the second MIP system survey results of the target site, it also includes:

[0044] Based on the interpolation calculation result, determining a plurality of first pollution hotspot areas where the pollutant concentration exceeds a preset threshold, each of the first pollution hotspot areas being an area where the total pollutant concentration is higher than a set total pollutant concentration;

[0045] Analyze multiple second pollution hotspots based on the functional area distribution, land use history, meteorological and climatic conditions, and surrounding pollution conditions;

[0046] Based on the first pollution hotspot areas and the second pollution hotspot areas, MIP detailed survey points of the target area are determined, so that the MIP system conducts a detailed survey of the target site according to the MIP detailed survey points.

[0047] The beneficial effect of adopting the above further scheme is that through the interpolation calculation results and site distribution information, hot spots with high pollutant concentrations can be quickly identified. These areas are potential high-risk areas and require more detailed investigations. Therefore, based on the interpolation results and site distribution information, the reasonable determination of MIP survey points can make the survey work more focused and efficient, and avoid wasting resources in areas with low pollutant concentrations.

[0048] Furthermore, the weight information of each pollutant in the target site is calculated based on the MIP signal database and a preset pollutant weight algorithm, including:

[0049] Extracting target data corresponding to each target pollution category from the MIP signal database, wherein the target data includes concentration contents of a plurality of the pollutants and MIP system electrical signal values;

[0050] For each of the target pollution categories, based on the target data, weight information of the MIP system electrical signal value occupied by each of the pollutants in the target pollution category is calculated.

[0051] The beneficial effect of adopting the above further scheme is: by combining the concentration of each pollutant in different target scenarios and the electrical signal value of the MIP system, the weight of each pollutant in different spatial positions can be calculated, which is convenient for subsequent analysis of the concentration of each pollutant contained in the MIP signal in the MIP survey point.

[0052] Further, the quantitative assessment results corresponding to each pollutant in the target site are determined based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method, including:

[0053] For each MIP detailed survey point, among all target pollution categories, determine the target pollution category that matches the MIP detailed survey point and the weight information of each pollutant corresponding to the target pollution category;

[0054] For each MIP detailed survey point, the pollutant concentration corresponding to each pollutant is calculated based on the MIP signal of the MIP detailed survey point and the weight of each pollutant;

[0055] Based on the concentration of each pollutant corresponding to each MIP detailed survey point, the quantitative assessment results corresponding to each pollutant in the target site are obtained.

[0056] The beneficial effect of adopting the above further scheme is that the concentration of each pollutant in different areas can be calculated scientifically and objectively by using the preset pollutant weight algorithm and quantitative analysis method, avoiding the interference of subjective judgment.

[0057] In the second aspect, the present application provides a pollutant concentration quantitative assessment device, which adopts the following technical solution:

[0058] A pollutant concentration quantitative assessment device, comprising:

[0059] A first acquisition module is used to obtain a preliminary soil survey result of a target site and a first MIP system survey result corresponding to the preliminary soil survey result; wherein the preliminary soil survey result includes first soil sampling analysis data corresponding to each of a plurality of first sampling points, and the first MIP system survey result includes second soil sampling analysis data corresponding to a plurality of second sampling points corresponding to the area where each of the first sampling points is located, each of the first soil sampling analysis data includes stratum structure, soil texture, soil moisture content, hydrogeological conditions, at least one VOCs pollutant type and the corresponding content of each VOCs pollutant type, and each of the second soil sampling analysis data includes a MIP electrical signal value;

[0060] A database establishment module, for establishing a land feature parameter database, a VOCs database and a MIP signal database of the target site based on the preliminary soil survey results and the first MIP system survey results, wherein the land feature parameter database includes parameters characterizing the soil geology and hydrogeology of each of the first sampling points, the VOCs database includes parameters characterizing the type and concentration of VOCs pollutants at each of the first sampling points, and the MIP signal database includes parameters characterizing the concentration of pollutants at each of the first sampling points, soil information, and MIP system electrical signal values ​​of the second sampling points corresponding to each first sampling point;

[0061] An interpolation calculation module, used to perform interpolation calculation based on the plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain an interpolation calculation result of the target site, wherein the interpolation calculation result characterizes the concentration or influence range of each pollutant in the target site at different spatial locations;

[0062] A pollution area weight calculation module, used to calculate the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm;

[0063] A second acquisition module is used to acquire a second MIP system survey result of the target site based on the interpolation calculation result, where the second MIP system survey result is a detailed sampling result of the MIP system in the soil pollution status survey;

[0064] The quantitative evaluation module is used to determine the quantitative evaluation results corresponding to each pollutant in the target site based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method.

[0065] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0066] An electronic device comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the pollutant concentration quantitative assessment methods of the first aspect.

[0067] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0068] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the pollutant concentration quantitative assessments of the first aspect.

[0069] Additional aspects and advantages of the present application will be partially given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 A schematic diagram of a process for quantitatively evaluating pollutant concentration provided by an embodiment of the present invention;

[0071] Figure 2 A structural block diagram of a pollutant concentration quantitative assessment device provided by one embodiment of the present invention;

[0072] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0073] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0074] An embodiment of the present application provides a method for quantitatively assessing pollutant concentrations, which can be executed by an electronic device, which can be a server or a mobile terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services; the mobile terminal device can be a laptop computer, a desktop computer, etc., but is not limited to this.

[0075] like Figure 1 As shown, a method for quantitatively assessing pollutant concentrations includes:

[0076] Step S1, obtaining preliminary soil survey results of the target site and first MIP system survey results corresponding to the preliminary soil survey results; wherein the preliminary soil survey results include first soil sampling analysis data corresponding to each of a plurality of first sampling points, the first MIP system survey results include second soil sampling analysis data corresponding to a plurality of second sampling points corresponding to the area where each of the first sampling points is located, each of the first soil sampling analysis data includes stratum structure, soil texture, soil moisture content, hydrogeological conditions, at least one VOCs pollutant type and the corresponding content of each VOCs pollutant type, and each of the second soil sampling analysis data includes a MIP electrical signal value.

[0077] In this embodiment, the first MIP system survey result is a result obtained by detecting the soil using a MIP system (Membrane Interface Probe).

[0078] The staff collects information, conducts personnel interviews and conducts on-site inspections on the target site according to the traditional investigation methods of the Technical Guidelines for Investigation of Soil Pollution Status of Construction Land, and formulates a preliminary investigation plan. The preliminary investigation work plan includes the drilling location, sampling depth, number of samples and site distribution information of the target site. The site distribution information of the target site includes different pollution areas, for example, potential pollution areas and general pollution areas. Potential pollution areas can be production areas, sewage treatment areas and storage areas for raw materials, products, hazardous wastes, industrial solid wastes and other polluting materials. General pollution areas can be activity areas such as office areas and accommodation areas, but are not limited to these.

[0079] After the preliminary investigation plan is determined, drilling sampling work is carried out, and the collected soil samples are sent to the laboratory for analysis. Laboratory staff upload the first soil sampling analysis data of multiple first sampling points to electronic equipment according to the preliminary work investigation plan.

[0080] At 0.5 meters around the drilling location, the MIP system is used for auxiliary investigation. The MIP system reflects the pollution status in the soil by measuring the electrical signal value in the soil. Especially for pollutants that are difficult to measure directly, such as VOCs (Volatile Organic Compounds), the MIP system has higher resolution and sensitivity, and better detection depth accuracy.

[0081] The second soil analysis data of multiple second sampling points corresponding to the drilling sampling positions are directly obtained through the MIP system, and the second soil analysis data corresponding to each second sampling point is sent to the electronic device for data processing.

[0082] It should be noted that the MIP signal value includes the MIP-EC electrical signal value and the MIP detector electrical signal value, wherein the MIP-EC electrical signal value is used to preliminarily determine the type of pollutants that may exist in the soil; the MIP detector electrical signal value is used to detect the electrical signal output by the sensor of pollutants such as VOCs in the soil or groundwater, and monitor the concentration changes of VOCs pollutants in the soil.

[0083] Step S2, based on the preliminary soil survey results and the first MIP system survey results, a land plot characteristic parameter database, a VOCs database and a MIP signal database of the target site are established, wherein the land plot characteristic parameter database includes parameters characterizing the soil geology and hydrogeology of each of the first sampling points, the VOCs database includes parameters characterizing the type and concentration of VOCs pollutants at each of the first sampling points, and the MIP signal database includes parameters characterizing the concentration of pollutants at each of the first sampling points, soil information and MIP system electrical signal values ​​of the second sampling points corresponding to each first sampling point.

[0084] In the implementation mode of the present application, the electronic device performs a first data sorting on the first soil sampling analysis data to obtain a land plot characteristic parameter database and a VOCs database. The specific first data sorting method is:

[0085] Based on GIS tools (geographic information technology), the geographical location and depth of the first sampling point are combined with geological structure data (bottom soil texture information, soil parameters, etc.) to construct a three-dimensional geological model;

[0086] The characteristic parameters of each first sampling point, such as stratigraphic structure, soil texture, soil moisture content, and hydrogeological conditions, are analyzed and annotated in the geological model to form a complete database of plot characteristic parameters.

[0087] Based on GIS tools, the types of VOCs pollutants, the corresponding concentration content of each VOCs pollutant type and the first sampling point are combined and presented in a three-dimensional graphical form to establish a VOCs database.

[0088] The electronic device performs a second data sorting on the second soil sampling analysis data, the plot characteristic parameter database and the VOCs database to obtain a MIP signal database. The specific second data sorting method is:

[0089] Based on GIS tools, the MIP electrical signal values ​​are aligned with the existing land feature parameter database and VOCs database in time and space;

[0090] The MIP electrical signal value is compared with the corresponding geological structure to obtain the relationship between the MIP electrical signal value and the geological structure;

[0091] Compare the MIP electrical signal value with the pollutant position in the VOCs database, identify the characteristics of the MIP electrical signal value that reflect the presence of pollutants, and obtain the relationship between the MIP signal value and the VOCs pollutant concentration content;

[0092] The correlation results between the MIP electrical signal value and the geological structure, spatial location and content of pollutants are stored in the MIP signal database.

[0093] It should be noted that in this embodiment, correlation analysis methods such as Pearson correlation coefficient, Spearman rank correlation coefficient, linear regression and nonlinear regression can be used to evaluate the correlation between pollutant concentration and geological structure, spatial position, and MIP electrical signal value. Visualization tools such as scatter plots, heat maps, and three-dimensional maps are used to intuitively display the relationship between the variables.

[0094] In addition, in this embodiment, a machine learning method can also be used, taking the geological structure of the first sampling point, the spatial position of the pollutant, and the MIP system electrical signal value corresponding to the first sampling point as input, and the concentration content of the pollutant corresponding to the first sampling point as output, to analyze the correlation between the concentration content of each pollutant and the geological structure, the spatial position of the pollutant, and the MIP system electrical signal value.

[0095] Step S3, performing interpolation calculation based on the plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain an interpolation calculation result of the target site, wherein the interpolation calculation result represents the concentration or influence range of each pollutant in the target site at different spatial locations;

[0096] In the implementation manner of the present application, step S3 includes the following sub-steps:

[0097] Step S31, obtaining site distribution information of the target site, the site distribution information including different pollution areas;

[0098] Step S32, based on the preset pollution classification rules, site distribution information, land feature parameter database and VOCs database, the target site is classified to obtain multiple initial pollution categories of the target site;

[0099] In the implementation mode of the present application, the electronic device divides the target site into a plurality of first pollution categories according to different types of pollutants in the VOCs database;

[0100] According to different soil parameters in the land characteristic parameter database, the target site is divided into multiple second pollution categories;

[0101] According to the preset soil depth, the target site is divided into multiple third pollution categories;

[0102] According to different pollution areas in the site distribution information, the target site is divided into a plurality of fourth pollution categories;

[0103] Based on the site distribution information, at least one pollutant corresponding to each of the different pollution areas is determined in the VOCs database, where the pollutant is a pollutant with a concentration greater than a preset threshold;

[0104] Based on the corresponding concentration of at least one pollutant corresponding to each polluted area and the preset sampling point selection rules (such as concentration gradient rules, representativeness rules, etc.), multiple target points corresponding to each polluted area are determined; according to different target points, multiple fifth pollution categories of the target site are determined, and each fifth scenario focuses on the distribution of pollutants at the target point and its surroundings;

[0105] Based on all the first pollution categories, the second pollution categories, the third pollution categories, the fourth pollution categories and the fifth pollution categories of the target site, a plurality of initial pollution categories of the target site are obtained.

[0106] Step S33, extracting interpolation input information corresponding to each initial pollution category from the land feature parameter database and the VOCs database, wherein for each initial pollution category, the interpolation input information at least includes the concentration and location of the pollutant;

[0107] In the implementation mode of the present application, interpolation input information such as pollutant concentration and location related to each initial pollution category is retrieved from the plot characteristic parameter database and the VOCs database, and the retrieved information is organized into a unified format to ensure the accuracy and consistency of the data during the interpolation calculation.

[0108] Step S34, based on the interpolation input information corresponding to each initial pollution category and the preset interpolation calculation rule, predicting the pollutant spatial distribution information corresponding to multiple target pollution categories, where the target pollution category is any one or more combinations of each initial pollution category;

[0109] In the implementation manner of the present application, specifically, for each initial pollution category, based on the initial pollution category, a corresponding interpolation algorithm is selected, and the interpolation algorithm includes any one of a Kriging interpolation algorithm, an inverse distance weighted interpolation algorithm, a radial basis function interpolation algorithm, a linear interpolation algorithm, and a nearest neighbor interpolation algorithm;

[0110] For each initial pollution category, based on the selected interpolation algorithm and interpolation input information, the corresponding interpolation calculation results of each initial pollution category are calculated;

[0111] After obtaining the interpolation results of each single initial pollution category, the spatial distribution information of pollutants corresponding to multiple target pollution categories (i.e., any one or more combinations of each initial pollution category) is further calculated based on the interpolation calculation results corresponding to each initial pollution category.

[0112] Optionally, first, different initial pollution categories are combined to form multiple target pollution categories, and then, for each target pollution category, the interpolation results of each single initial pollution category contained therein are overlaid for analysis. The overlay analysis is implemented by weighted overlay, fuzzy logic, etc. Finally, the results of the overlay analysis are integrated into unified pollutant spatial distribution information.

[0113] Step S35, based on the spatial distribution information of pollutants corresponding to the multiple target pollution categories, determine the interpolation calculation result of the target site.

[0114] By flexibly selecting appropriate interpolation algorithms based on the characteristics of different pollution categories, and performing independent interpolation calculations for each pollution category, the specific conditions and influencing factors under different scenarios are fully considered, so as to more accurately predict the spatial distribution information of pollutants.

[0115] Step S4, calculating the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm;

[0116] In the implementation manner of the present application, target data corresponding to each target pollution category is extracted from the MIP signal database, and the target data includes concentration contents of multiple pollutants and MIP system electrical signal values;

[0117] For each of the target pollution categories, based on the target data, weight information of the MIP system electrical signal value occupied by each of the pollutants in the target pollution category is calculated.

[0118] It should be noted that the weight of the MIP system electrical signal value occupied by each pollutant in each target scenario may also be analyzed according to a machine learning method.

[0119] Step S5, obtaining the second MIP system survey result of the target site, where the second MIP system survey result is the detailed sampling result of the MIP system in the second phase of soil pollution status survey;

[0120] In the implementation manner of the present application, the site distribution information of the target site also includes the functional area distribution of the target site, the historical evolution of land use, the meteorological and climate conditions, and the surrounding pollution conditions. Before obtaining the survey results of the second MIP system, it also includes:

[0121] The electronic device determines, based on the interpolation calculation result, a plurality of first pollution hotspot areas where the pollutant concentration exceeds a preset threshold, each of the first pollution hotspot areas being an area where the total pollutant concentration is higher than a set total pollutant concentration;

[0122] Analyze multiple second pollution hotspots based on the functional area distribution, land use history and surrounding pollution conditions;

[0123] Analyze multiple second pollution hotspots based on the functional area distribution, land use history, meteorological and climatic conditions, and surrounding pollution conditions;

[0124] Based on the first pollution hotspot areas and the second pollution hotspot areas, MIP detailed survey points of the target area are determined, so that the MIP system conducts a detailed survey of the target site according to the MIP detailed survey points.

[0125] In the implementation manner of the present application, the evaluation method of the second pollution hotspot area can be judged based on professional knowledge and historical experience. Afterwards, the first pollution hotspot area and the second pollution hotspot area are superimposed and analyzed to determine the degree of pollution in each pollution hotspot area, and each pollution area is ranked according to the degree of pollution. Based on the number of MIP detailed survey points and the ranking results, the MIP detailed survey points in the target area are determined.

[0126] In the implementation manner of the present application, after the MIP detailed survey points are determined, the MIP system is used to conduct a detailed survey, and the second MIP system survey results corresponding to each survey point are sent to the electronic device for data processing.

[0127] Step S6, based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method, determine the quantitative evaluation results corresponding to each pollutant in the target site.

[0128] In the implementation mode of the present application, for each MIP detailed survey point, among all target pollution categories, the target pollution category matching the MIP detailed survey point and the weight information of each pollutant corresponding to the target pollution category are determined;

[0129] For each MIP detailed survey point, the pollutant concentration corresponding to each pollutant is calculated based on the MIP signal of the MIP detailed survey point and the weight of each pollutant; in the implementation mode of the present application, the weight of each pollutant is multiplied by the MIP signal to obtain the pollutant concentration corresponding to the pollutant.

[0130] Based on the concentration of each pollutant corresponding to each MIP detailed survey point, the quantitative assessment results corresponding to each pollutant in the target site are obtained.

[0131] This method can directly obtain and characterize the VOCs pollution status of the soil and groundwater of the target site through MIP survey technology, saving a lot of time and sample detection and analysis costs, and improving the accuracy, reliability, timeliness and economy of soil pollution status surveys. It can also reduce the amount of waste contaminated soil and groundwater caused by traditional drilling methods, and reduce the soil and groundwater samples, as well as the disposal costs of waste contaminated soil and groundwater generated during the drilling process.

[0132] By integrating the preliminary soil survey results and the MIP system survey results, not only basic geological information such as stratigraphic structure, soil texture, soil moisture content, and hydrogeological conditions are taken into consideration, but also the specific types and contents of VOCs (volatile organic compounds) pollutants and the electrical signal values ​​provided by the MIP system (such as conductivity, resistivity, etc.) are combined to construct a detailed plot characteristic parameter database, VOCs database, and MIP signal database, which can objectively characterize the stratigraphic structure information of the target site.

[0133] The interpolation algorithm is used to perform spatial interpolation calculations on the pollutant concentration or influence range of the target site, which can preliminarily predict the concentration distribution and influence range of pollutants in different spatial locations; the preset pollutant weight algorithm is used to calculate the weight of each pollutant in different spatial locations, which is convenient for identifying the main pollutants and their distribution areas. The detailed survey results of the MIP system in the second phase are introduced and combined with the database and weight allocation results established in the early stage, realizing the quantitative characterization of single VOCs indicators in the detailed survey results of the MIP system.

[0134] based on Figure 1 Based on the same principle, an embodiment of the present invention also provides a schematic diagram of a pollutant concentration quantitative evaluation device. Figure 2 As shown, a pollutant concentration quantitative assessment device mainly includes:

[0135] The first acquisition module 201 is used to obtain the preliminary soil survey results of the target site and the first MIP system survey results corresponding to the preliminary soil survey results; wherein the preliminary soil survey results include first soil sampling analysis data corresponding to each of the plurality of first sampling points, the first MIP system survey results include second soil sampling analysis data corresponding to a plurality of second sampling points corresponding to the area where each of the first sampling points is located, each of the first soil sampling analysis data includes stratum structure, soil texture, soil moisture content, hydrogeological conditions, at least one VOCs pollutant type and the corresponding content of each VOCs pollutant type, and each of the second soil sampling analysis data includes a MIP electrical signal value;

[0136] A database establishment module 202 is used to establish a land feature parameter database, a VOCs database and a MIP signal database of the target site based on the preliminary soil survey results and the first MIP system survey results, wherein the land feature parameter database includes parameters characterizing the soil geology and hydrogeology of each of the first sampling points, the VOCs database includes parameters characterizing the type and concentration of VOCs pollutants at each of the first sampling points, and the MIP signal database includes parameters characterizing the concentration of pollutants at each of the first sampling points, soil information, and MIP system electrical signal values ​​of the second sampling points corresponding to each first sampling point;

[0137] An interpolation calculation module 203 is used to perform interpolation calculation based on the land plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain an interpolation calculation result of the target site, wherein the interpolation calculation result represents the concentration or influence range of each pollutant in the target site at different spatial locations;

[0138] The pollution area weight calculation module 204 is used to calculate the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm;

[0139] A second acquisition module 205 is used to acquire a second MIP system survey result of the target site based on the interpolation calculation result, where the second MIP system survey result is a detailed sampling result of the MIP system in the soil pollution status survey;

[0140] The quantitative evaluation module 206 is used to determine the quantitative evaluation results corresponding to each pollutant in the target site based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method.

[0141] In one example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0142] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0143] Figure 3 This is a structural block diagram of an electronic device 300 according to an embodiment of the present application.

[0144] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include one or more of an information input / information output (I / O) interface 303 and a communication component 304 .

[0145] The electronic device 300 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the pollutant concentration quantitative assessment method given in the above embodiment.

[0146] The computer-readable storage medium provided in the embodiments of the present application is introduced below. The computer-readable storage medium described below and the method for quantitatively assessing pollutant concentration described above can be referenced to each other.

[0147] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for quantitatively evaluating pollutant concentration are implemented.

[0148] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0149] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0150] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A method for quantitatively assessing pollutant concentration, characterized in that: include: Obtaining a preliminary soil survey result of the target site and a first MIP system survey result corresponding to the preliminary soil survey result; wherein the preliminary soil survey result includes first soil sampling analysis data corresponding to each of a plurality of first sampling points, and the first MIP system survey result includes second soil sampling analysis data corresponding to a plurality of second sampling points corresponding to the area where each of the first sampling points is located, each of the first soil sampling analysis data includes stratum structure, soil texture, soil moisture content, hydrogeological conditions, at least one VOCs pollutant type and the corresponding content of each VOCs pollutant type, and each of the second soil sampling analysis data includes a MIP electrical signal value; Based on the preliminary soil survey results and the first MIP system survey results, a land feature parameter database, a VOCs database and a MIP signal database of the target site are established, wherein the land feature parameter database includes parameters characterizing the soil geology and hydrogeology of each of the first sampling points, the VOCs database includes parameters characterizing the type and concentration of VOCs pollutants at each of the first sampling points, and the MIP signal database includes parameters characterizing the concentration of pollutants at each of the first sampling points, soil information and MIP system electrical signal values ​​of the second sampling points corresponding to each first sampling point; Performing interpolation calculation based on the plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain an interpolation calculation result of the target site, wherein the interpolation calculation result characterizes the concentration or influence range of each pollutant in the target site at different spatial locations; Calculating the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm; Based on the interpolation calculation result, obtaining a second MIP system survey result of the target site, where the second MIP system survey result is a detailed sampling result of the MIP system in the soil pollution status survey; Based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method, the quantitative evaluation results corresponding to each pollutant in the target site are determined.

2. A method for quantitatively evaluating pollutant concentration according to claim 1, characterized in that: The interpolation calculation is performed based on the land plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain the interpolation calculation result of the target site, including: Acquiring site distribution information of the target site, wherein the site distribution information includes different contaminated areas, and the contaminated area is any one of a production area, a contaminant material storage area, a sewage treatment area, and an activity area; Based on the preset pollution classification rules, the site distribution information, the land plot characteristic parameter database and the VOCs database, the target site is classified to obtain multiple initial pollution categories of the target site; Extracting interpolation input information corresponding to each of the initial pollution categories from the land plot characteristic parameter database and the VOCs database, wherein for each of the initial pollution categories, the interpolation input information at least includes the concentration and location of the pollutant; Based on the interpolation input information corresponding to each of the initial pollution categories and the preset interpolation calculation rules, predict the spatial distribution information of pollutants corresponding to multiple target pollution categories, wherein the target pollution category is any one or more combinations of each of the initial pollution categories; Based on the spatial distribution information of pollutants corresponding to the plurality of target pollution categories, an interpolation calculation result of the target site is determined.

3. A method for quantitatively evaluating pollutant concentration according to claim 2, characterized in that: The target site is divided based on the preset pollution classification rule, the site distribution information, the land plot characteristic parameter database and the VOCs database to obtain multiple initial pollution categories of the target site, including: According to the types of different pollutants in the VOCs database, the target site is divided into a plurality of first pollution categories; Classifying the target site into a plurality of second pollution categories according to different soil types in the land plot characteristic parameter database; According to the preset soil depth, the target site is divided into multiple third pollution categories; According to different pollution areas in the site distribution information, the target site is divided into a plurality of fourth pollution categories; Based on the site distribution information, determining at least one pollutant corresponding to each of the different polluted areas in the VOCs database; Based on the corresponding concentration of at least one pollutant corresponding to each of the polluted areas and a preset sampling point selection rule, determining a plurality of target points corresponding to each of the polluted areas; Determining a plurality of fifth pollution categories of the target site according to different target points; Based on all the first pollution categories, the second pollution categories, the third pollution categories, the fourth pollution categories and the fifth pollution categories of the target site, a plurality of initial pollution categories of the target site are obtained.

4. A method for quantitatively evaluating pollutant concentration according to claim 2, characterized in that: The predicting of pollutant spatial distribution information corresponding to a plurality of target pollution categories based on the interpolation input information corresponding to each of the initial pollution categories and a preset interpolation calculation rule includes: For each of the initial pollution categories, selecting a corresponding interpolation algorithm based on the initial pollution category; For each of the initial pollution categories, based on the selected interpolation algorithm and the interpolation input information, calculate the interpolation calculation result corresponding to each of the initial pollution categories; Based on the interpolation calculation results corresponding to each of the initial pollution categories, the pollutant spatial distribution information corresponding to multiple target pollution categories is calculated.

5. A method for quantitatively evaluating pollutant concentration according to claim 2, characterized in that: The site distribution information of the target site also includes the distribution of functional areas of the target site, the historical evolution of land use, meteorological and climate conditions, and surrounding pollution conditions. Before obtaining the second MIP system survey results of the target site, it also includes: Based on the interpolation calculation result, determining a plurality of first pollution hotspot areas where the pollutant concentration exceeds a preset threshold, each of the first pollution hotspot areas being an area where the total pollutant concentration is higher than a set total pollutant concentration; Analyze multiple second pollution hotspots based on the functional area distribution, land use history, meteorological and climatic conditions, and surrounding pollution conditions; Based on the first pollution hotspot areas and the second pollution hotspot areas, MIP detailed survey points of the target area are determined, so that the MIP system conducts a detailed survey of the target site according to the MIP detailed survey points.

6. A method for quantitatively evaluating pollutant concentration according to claim 3, characterized in that: The calculating the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm includes: Extracting target data corresponding to each target pollution category from the MIP signal database, wherein the target data includes concentration contents of a plurality of the pollutants and MIP system electrical signal values; For each of the target pollution categories, based on the target data, weight information of the MIP system electrical signal value occupied by each of the pollutants in the target pollution category is calculated.

7. A method for quantitatively evaluating pollutant concentration according to claim 5, characterized in that: The method of determining the quantitative assessment results corresponding to each pollutant in the target site based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method includes: For each MIP detailed survey point, among all target pollution categories, determine the target pollution category that matches the MIP detailed survey point and the weight information of each pollutant corresponding to the target pollution category; For each MIP detailed survey point, the pollutant concentration corresponding to each pollutant is calculated based on the MIP signal of the MIP detailed survey point and the weight of each pollutant; Based on the concentration of each pollutant corresponding to each MIP detailed survey point, the quantitative assessment results corresponding to each pollutant in the target site are obtained.

8. A pollutant concentration quantitative assessment device, characterized in that: include: A first acquisition module is used to obtain a preliminary soil survey result of a target site and a first MIP system survey result corresponding to the preliminary soil survey result; wherein the preliminary soil survey result includes first soil sampling analysis data corresponding to each of a plurality of first sampling points, and the first MIP system survey result includes second soil sampling analysis data corresponding to a plurality of second sampling points corresponding to the area where each of the first sampling points is located, each of the first soil sampling analysis data includes stratum structure, soil texture, soil moisture content, hydrogeological conditions, at least one VOCs pollutant type and the corresponding content of each VOCs pollutant type, and each of the second soil sampling analysis data includes a MIP electrical signal value; A database establishment module, for establishing a land feature parameter database, a VOCs database and a MIP signal database of the target site based on the preliminary soil survey results and the first MIP system survey results, wherein the land feature parameter database includes parameters characterizing the soil geology and hydrogeology of each of the first sampling points, the VOCs database includes parameters characterizing the type and concentration of VOCs pollutants at each of the first sampling points, and the MIP signal database includes parameters characterizing the concentration of pollutants at each of the first sampling points, soil information, and MIP system electrical signal values ​​of the second sampling points corresponding to each first sampling point; An interpolation calculation module, used to perform interpolation calculation based on the plot characteristic parameter database, the VOCs database and a preset interpolation algorithm to obtain an interpolation calculation result of the target site, wherein the interpolation calculation result characterizes the concentration or influence range of each pollutant in the target site at different spatial locations; A pollution area weight calculation module, used to calculate the weight information of each pollutant in the target site based on the MIP signal database and a preset pollutant weight algorithm; A second acquisition module is used to acquire a second MIP system survey result of the target site based on the interpolation calculation result, where the second MIP system survey result is a detailed sampling result of the MIP system in the soil pollution status survey; The quantitative evaluation module is used to determine the quantitative evaluation results corresponding to each pollutant in the target site based on the survey results of the second MIP system, the weight information of each pollutant and the preset quantitative analysis method.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute the computer program stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when the computer program or the instruction is run on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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