Site pollution remediation agent injection method and system

Abstract

The application provides a site pollution treatment agent injection method and system, and belongs to the technical field of pollution remediation. The method comprises the following steps: determining an in-situ injection agent; constructing a three-dimensional site model; based on optimal injection parameters of different soil types, performing injection point layout in the three-dimensional site model to obtain an injection point vector point map; according to a three-dimensional pollution space distribution model, a three-dimensional stratum model, optimal injection parameters of different soil types, the injection point vector point map and an agent injection correlation equation, generating an agent injection scheme driven based on the three-dimensional site model; importing the agent injection scheme into an injection equipment control system and performing agent injection; when a site pollutant remediation result does not reach a preset standard, updating the three-dimensional site model based on a current site, repeatedly performing the above steps until the site pollutant remediation result reaches the preset standard. The agent injection space and the pollution space distribution are consistent, intelligent and accurate control of the agent injection is improved, and the agent consumption is reduced.

Description

Site Contamination Remediation Agent Injection Method and System Technical Field

[0001] This invention relates to the field of pollution remediation technology, specifically to a method for injecting site pollution remediation agents and a site pollution remediation agent injection system. Background Technology

[0002] With the progress of modern industrialization, my country's economy has achieved rapid development, especially basic industries such as mining, oil extraction, petrochemicals, and chemicals, which have played a pillar role in the rapid development of the national economy. However, this has also caused multifaceted damage to soil and groundwater resources, resulting in serious site pollution and ecological health problems in many places. For example, in 2013, a company in Weifang, Shandong Province, discharged wastewater from a deep well, causing soil and groundwater pollution. Some scholars believe that this incident can be regarded as China's version of the "Loughlin Canal Incident." The "2021 China Ecological Environment Status Bulletin" shows that among more than 1,900 national groundwater environmental quality assessment sites, Class I to IV water quality sites accounted for 79.4%, and Class V water quality sites accounted for 20.6%. Overall, the significant characteristics of soil and groundwater pollution in my country are a large existing pollution base, a high risk of incremental pollution, and an overall unfavorable situation for groundwater quality, which seriously restricts the construction of ecological civilization in the new era. Therefore, it is crucial to develop efficient and precise remediation technologies for contaminated soil and groundwater.

[0003] Soil and groundwater remediation technologies are mainly divided into two categories: ex-situ remediation and in-situ remediation. The advantages of in-situ remediation compared to ex-situ remediation are: ① it does not involve transportation and excavation / backfilling, resulting in lower costs; ② it requires less construction space; ③ it has less impact on existing buildings or production on the site; ④ secondary pollution is controllable; and ⑤ it reduces direct exposure to pollutants during the remediation construction period, lowering health and safety risks. Therefore, in recent years, domestic and international research on contaminated site remediation technologies has mainly focused on in-situ remediation technologies. Currently, commonly used in-situ remediation technologies in my country include in-situ extraction, in-situ thermal desorption, in-situ bioremediation, and in-situ chemical remediation. In practical applications, in-situ reagent injection, as an in-situ remediation construction method, is widely used in various remediation technologies such as in-situ chemical oxidation, in-situ chemical reduction, and in-situ bioremediation, and is currently the most widely applied technology for in-situ remediation of contaminated soil and groundwater in my country.

[0004] In-situ chemical remediation technology involves injecting chemical or biological remediation agents into contaminated groundwater or soil using specialized equipment to reduce the concentration of pollutants and mitigate or eliminate their environmental impact. Major in-situ chemical remediation technologies both domestically and internationally include injection well injection, direct-push injection, high-pressure jet injection, and in-situ deep-mixing injection. Injection well injection technology involves constructing an injection well beforehand, then adding the chemical agent under high or normal pressure. The agent diffuses through the well's sieve openings to the contaminated target area. This technology is heavily limited by the injection well itself; the horizontal position of the well and the depth of the sieve openings cannot be moved, and the sieve openings are prone to clogging. High-pressure jet grouting involves drilling a high-pressure injection pipe to a predetermined depth in the soil. Activating the rotating device and injection pump causes the high-pressure chemical agent to impact and cut through the soil, ensuring thorough contact and mixing between the remediation agent and the contaminated soil and groundwater. This technology can also incorporate compressed air and high-pressure water for enhanced mixing. However, its implementation costs are high, the high-pressure jet grouting equipment is large, and the process is complex. In-situ deep mixing injection is similar to high-pressure jet grouting and offers good remediation results for specific deep soil and groundwater contamination. Due to cost constraints, it is primarily suitable for single-round injections in specific conditions where repeated equipment intervention is not required. In recent years, direct-push differential pressure injection has been widely used in in-situ chemical injection remediation of major soil and groundwater contamination. This technology injects the remediation agent into the target contaminated soil and groundwater space under pressure via an injection rod, achieving pollutant degradation. This technology primarily utilizes the Geoprobe multi-functional drilling rig, which is mobile, occupies a small area, and is suitable for the controlled remediation of most contaminated sites. Although the aforementioned technologies can achieve in-situ injection remediation of pollutants in different scenarios, each with its own characteristics in injection equipment, injection process, and injection method, there are still shortcomings in improving the spatial accuracy and intelligence of reagent injection. Furthermore, excessive reagent injection also poses health risks to the ecological environment.

[0005] In-situ injection aims to inject reagents into the target contaminated space, where they undergo physicochemical and biological reactions with the site pollutants to degrade and remove them. However, soil and groundwater pollution is often concealed and heterogeneous, making it difficult to determine the spatial distribution of underground pollutants during in-situ injection. This often results in multiple cylindrical injection zones with a uniform injection depth, creating an excessively large injection area. This leads to significant discrepancies between the injected space and the actual contaminated space, as well as over-injection of reagents, resulting in a lack of overall injection precision. Furthermore, different soil types require significantly different injection parameters, with process parameters such as injection pressure and flow rate having a substantial impact. Therefore, accurately injecting reagents underground is a key technical challenge for improving the level of in-situ injection remediation technology. Furthermore, current patented technologies involving in-situ agent injection mainly focus on injection equipment, such as patents CN111744943B and CN111704228B. A few technologies involve precision injection methods, such as CN114798706A, which provides a high-precision injection method for in-situ remediation of contaminated soil and groundwater. However, this technology primarily employs a zoned injection approach, which has limited effectiveness in improving injection accuracy and intelligence. Therefore, there is an urgent need to develop intelligent in-situ precision agent injection technologies.

[0006] In summary, existing technologies mainly improve upon this through injection devices and methods, but they still fall short in matching the target space for reagent injection with the actual contaminated space, as the distribution of underground pollutants in terms of space and concentration is irregular. Existing injection techniques suffer from the problems of injecting excessive amounts of reagent into uncontaminated or low-contamination spaces and insufficient reagent into heavily contaminated spaces, making precise control and adjustment of reagent injection difficult. Summary of the Invention

[0007] The purpose of this invention is to provide a method and system for injecting site pollution remediation agents, so as to at least solve the above-mentioned problems of excessive injection of agents in uncontaminated or low-contamination spaces and insufficient injection of agents in heavily contaminated spaces.

[0008] To achieve the above objectives, a first aspect of the present invention provides a method for injecting a site pollution remediation agent, comprising:

[0009] Based on the pre-determined data of the contaminated site to be treated, the in-situ injection agent and its fluid properties are determined.

[0010] Based on pre-acquired pollution distribution data and borehole data, a three-dimensional site model is constructed; the three-dimensional site model includes a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model.

[0011] Based on soil type data and the fluid properties of in-situ injected agents, the optimal injection parameters for different soil types are obtained through particle fluid simulation.

[0012] Based on the optimal injection parameters for different soil types, injection points are laid out in a three-dimensional site model to obtain a vector map of injection points.

[0013] Based on the three-dimensional pollution spatial distribution model, three-dimensional stratigraphic model, optimal injection parameters for different soil types, injection point vector map, and reagent injection correlation equation, a reagent injection scheme driven by the three-dimensional site model is generated.

[0014] The chemical injection plan is imported into the injection equipment control system to execute the site remediation chemical injection;

[0015] Obtain the site pollutant remediation results after agent injection. If the site pollutant remediation results do not meet the preset standards, update the three-dimensional site model based on the current site and repeat the above steps until the site pollutant remediation results meet the preset standards.

[0016] Optionally, the above-mentioned process of importing the chemical injection plan into the injection equipment control system to perform site remediation chemical injection includes:

[0017] According to the drug injection plan, a driving data package is generated and imported into the injection device; wherein...

[0018] The injection device is configured as follows:

[0019] Based on the driver data packet, the drug injection plan is obtained through parsing.

[0020] Based on the agent injection scheme, and according to the three-dimensional pollution spatial distribution model, the opening and closing of the jet nozzle and the agent injection volume are automatically adjusted.

[0021] Based on the reagent injection scheme, the reagent injection parameters are automatically adjusted according to the three-dimensional formation model.

[0022] Optionally, the soil type data mentioned above shall include at least one or more of the following: soil permeability coefficient, bulk density, porosity, and organic matter content; the fluid properties of the in-situ injected agent shall include at least one or more of the following: in-situ agent fluidity, viscosity, and particle size; and the injection parameters of the soil type shall include at least one or more of the following: injection pressure, injection velocity, injection flow rate, and radius of influence.

[0023] Optionally, the above-mentioned site contamination remediation agent injection method further includes:

[0024] Based on the initial site survey information, data on the contaminated site to be remediated is determined; wherein, the data on the contaminated site to be remediated includes one or more of the following: pollutants, contamination range, and contamination degree of the contaminated site;

[0025] Based on the initial site survey information, geological exploration and borehole geotechnical tests were conducted to obtain borehole data and soil type data.

[0026] Optionally, the construction process of the above three-dimensional site model is as follows:

[0027] Based on the initial site survey information, a pollution distribution survey was conducted using a grid division method to obtain pollution distribution data;

[0028] Based on pollution distribution data, a three-dimensional spatial distribution model of pollution is constructed;

[0029] A three-dimensional stratigraphic model was constructed based on borehole data.

[0030] Optionally, methods for constructing a three-dimensional spatial distribution model of pollution include one or more of the following: three-dimensional kriging interpolation, inverse distance weighted interpolation, and nearest neighbor method.

[0031] Optionally, the above optimal injection parameters include the optimal influence radius;

[0032] Based on the above optimal injection parameters for different soil types, injection points are laid out in a three-dimensional site model to obtain a vector map of injection points, including:

[0033] A1: In any stratum of the three-dimensional site model, two first injection points are set up. The two first injection points are used as the centers of two circles, and the two intersecting first circles are formed by combining the optimal influence radius.

[0034] A2: Using the two first intersection points obtained from the intersection of the two first circles, draw the outer straight line passing through the two first intersection points;

[0035] A3: Set up a second injection point on the outer straight line; wherein, with the second injection point as the center, the second circle formed by combining the optimal influence radius intersects with the first intersection point;

[0036] A4: Using the two second intersection points formed by the intersection of the second circle and any existing circle in the stratum, draw a new external straight line passing through the two second intersection points, and set up a new second injection point on the new external straight line;

[0037] A5: Based on the new second injection point, a new second circle is obtained;

[0038] A6: Repeat A4 to A5 until the strata have been traversed;

[0039] A7: Repeat A1 to A7 until all strata of the 3D site model are traversed to obtain the injection point vector map.

[0040] Optionally, the construction rules for the above drug injection correlation equations are as follows:

[0041] Theoretical calculation methods and / or small-scale test methods are used to construct the reagent injection correlation equations for various soil types. Theoretical calculation methods are based on equations or ratios of physical, chemical and biological reactions to calculate reagent consumption, while small-scale test methods are based on laboratory gradient tests to calculate reagent consumption.

[0042] Optionally, the above-mentioned chemical injection correlation equations include the pollution concentration chemical injection rate correlation equation, the chemical consumption integral equation, and the injection time control equation;

[0043] The correlation equation between pollution concentration and reagent dosage is C. 药剂 =C 污染 ×k1+C 有机 ×k2+C 其他 The integral equation for the amount of medicine consumed is ×k3, where M is the integral equation for the amount of medicine consumed. 药剂 =δ×β×∫C 药剂 The injection time control equation is T = M. 药剂 / υ; where C 药剂 C represents the concentration of the pesticide to be injected into the soil. 污染 C represents the concentration of pollutants in the soil. 有机 C represents the concentration of organic matter in the soil. 其他 M represents the concentration of reducing ions in the soil. 药剂 denoted as the soil pesticide solution injection volume, k1, k2, and k3 are the pesticide consumption coefficients as a function of the corresponding substance concentration, δ is the pesticide safety margin coefficient, β is the pesticide solution proportionality coefficient, T is the spraying time per unit volume of soil pesticide solution, and υ is the pesticide solution injection rate.

[0044] Optionally, the above-mentioned site contamination remediation agent injection method further includes:

[0045] By combining online groundwater pollution monitoring methods and soil borehole sampling methods, the pollutants in the site after the agent injection were monitored and evaluated, and the site pollutant remediation results were obtained.

[0046] Optionally, the above-mentioned combination of online groundwater pollution monitoring methods and soil borehole sampling methods for monitoring and assessing site pollutants after reagent injection includes:

[0047] According to the preset grid size data, the monitoring well locations are evenly distributed; the monitoring wells are used to detect various indicators of pollutants in the site.

[0048] Based on the indicator monitoring data obtained from the monitoring wells, the error of the change in site pollutants within a preset time period is obtained;

[0049] When the variation error is less than a preset threshold, monitoring and evaluation are carried out using soil borehole sampling and testing methods.

[0050] A second aspect of the present invention provides a site contamination remediation agent injection system, comprising:

[0051] The in-situ injection agent determination module is used to determine the in-situ injection agent and its fluid properties based on pre-determined data of the contaminated site to be treated.

[0052] The model building module is used to construct a three-dimensional site model based on pre-acquired pollution distribution data and borehole data; the three-dimensional site model includes a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model.

[0053] The optimal injection parameter determination module is used to obtain the optimal injection parameters for different soil types based on soil type data and the fluid properties of the in-situ injected agent through particle fluid simulation.

[0054] The injection point layout module is used to lay out injection points in a three-dimensional site model based on the optimal injection parameters for different soil types, and obtain a vector map of injection points.

[0055] The agent injection scheme generation module is used to generate agent injection schemes driven by a three-dimensional site model based on a three-dimensional pollution spatial distribution model, a three-dimensional stratigraphic model, optimal injection parameters for different soil types, vector point maps of injection points, and agent injection correlation equations.

[0056] The chemical injection plan execution module is used to import the chemical injection plan into the injection equipment control system to execute the injection of site remediation chemicals;

[0057] The pollutant remediation monitoring module is used to obtain the site pollutant remediation results after the agent injection. When the site pollutant remediation results do not meet the preset standards, the three-dimensional site model is updated based on the current site, and the above steps are repeated until the site pollutant remediation results meet the preset standards.

[0058] In a third aspect, the present invention provides a machine-readable storage medium storing instructions that, when executed by a processor, configure the processor to perform the above-described site contamination remediation agent injection method.

[0059] In a fourth aspect, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described site pollution remediation agent injection method.

[0060] The above technical solution provides a method and system for injecting chemicals to treat site pollution. Based on the target pollutant from the data of the site to be treated, it determines the in-situ injection agent and obtains the fluid properties of the injected agent. Based on pollution distribution data and borehole data, a three-dimensional pollution spatial distribution model and a three-dimensional geological model are obtained through software interpolation modeling. Based on soil type and injected agent properties, particle fluid simulation is used to numerically simulate the injection of chemicals for different soil types, obtaining the optimal injection parameters for each soil type. Based on the optimal injection parameters for different soil types, injection points are laid out in the three-dimensional site model, resulting in a vector map of injection points for optimized arrangement. Based on the three-dimensional pollution spatial distribution model, the three-dimensional geological model, the optimal injection parameters for different soil types, the vector map of injection points, and the chemical injection correlation equation, a chemical injection scheme driven by the three-dimensional model is generated. The chemical injection plan is integrated into the injection equipment control system. This system drives the injection equipment to automatically adjust the opening and closing of the jet nozzles and the injection volume based on the spatial distribution data of the contaminated area. Simultaneously, it automatically retrieves and adjusts the injection parameters based on the soil type data of the strata. This ensures consistency between the target injection space and the spatial distribution of contaminated areas, avoiding indiscriminate injection into uncontaminated or low-contaminated underground areas. This improves the intelligent and precise control of chemical injection and reduces chemical consumption. Finally, based on the current site contaminant remediation results, it determines whether to update the 3D site model and generate a new chemical injection plan for injection, ensuring the site contaminant remediation results meet preset standards. This achieves the goal of accurately characterizing site features and designing injection remediation, thereby optimizing the injection design, improving remediation effectiveness, and reducing remediation costs.

[0061] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0062] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0063] Figure 1 is a flowchart of a site pollution remediation agent injection method according to an embodiment of the present invention;

[0064] Figure 2 is a roadmap of a site pollution remediation agent precision injection technology method driven by a three-dimensional spatial model provided by one embodiment of the present invention;

[0065] Figure 3 is a schematic diagram of an injection point layout according to one embodiment of the present invention;

[0066] Figure 4 is a block diagram of a site pollution remediation agent injection system provided in one embodiment of the present invention;

[0067] Figure 5 is a schematic diagram of an electronic device structure provided by a preferred embodiment of the present invention.

[0068] Explanation of reference numerals in the attached figures

[0069] 10 - Electronic device, 100 - Processor, 101 - Memory, 102 - Computer program. Detailed Implementation

[0070] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0071] Example 1

[0072] Figure 1 is a flowchart of a site pollution remediation agent injection method according to an embodiment of the present invention. As shown in Figure 1, an embodiment of the present invention provides a site pollution remediation agent injection method, including:

[0073] S110: Based on pre-determined data of the contaminated site to be treated, determine the in-situ injection agent and its fluid properties.

[0074] In some embodiments of this example, the above-mentioned site pollution remediation agent injection method further includes: determining the data of the polluted site to be remediated based on the initial site investigation information; wherein, the data of the polluted site to be remediated includes one or more of the pollutants, pollution range and pollution degree of the polluted site to be remediated; and conducting geological exploration and borehole geotechnical tests based on the initial site investigation information to obtain borehole data and soil type data.

[0075] Specifically, for the proposed remediation sites identified in the preliminary site investigation, the preliminary site investigation information is compiled, including the main pollutants in the soil and groundwater, the scope and degree of contamination, and the remediation objectives. This determines whether in-situ chemical injection technology should be used. If so, the type of in-situ chemical is determined, and based on this type, fluid properties such as solution concentration, flowability, viscosity, acidity / alkalinity, and particle size can be obtained. Based on the preliminary site investigation information on soil strata and hydrogeology, a detailed geological survey and borehole geotechnical tests are conducted on the contaminated area. The geological survey grid ranges from 20×20m to 50m×50m. Pumping tests and geotechnical tests are also carried out to obtain soil type data, permeability coefficient, bulk density, porosity, and organic matter content for different soil layers.

[0076] S120: Based on pre-acquired pollution distribution data and borehole data, construct a three-dimensional site model; the three-dimensional site model includes a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model;

[0077] In some embodiments of this example, the construction process of the above-mentioned three-dimensional site model is as follows:

[0078] Based on the initial site survey information, a pollution distribution survey was conducted using a grid division method to obtain pollution distribution data; based on the pollution distribution data, a three-dimensional pollution spatial distribution model was constructed.

[0079] Specifically, based on the preliminary site investigation of the pollution range and degree, a high-precision detailed investigation of pollution distribution is conducted. The soil pollution survey grid is between 10m×10m and 20m×20m, with a sampling depth of the first impermeable slab. Vertical sampling points include topsoil (0cm to 50cm), areas with pollution traces or relatively heavy pollution identified by on-site rapid detection equipment, near the groundwater level (50cm), and areas where soil type changes. If a single type of soil layer is thick, additional soil samples are collected at 2m intervals. Based on the pollution distribution data obtained from the high-precision detailed investigation, a three-dimensional pollution spatial distribution model is constructed.

[0080] The methods for constructing a three-dimensional spatial distribution model of pollution include one or more of the following: three-dimensional kriging interpolation, inverse distance weighted interpolation, and nearest neighbor method.

[0081] Specifically, based on high-precision and detailed soil pollution data, a three-dimensional spatial distribution model of pollution is constructed, primarily using three-dimensional Kriging interpolation, inverse distance weighted interpolation (IDW), and the nearest neighbor method. This model can be implemented using simulation software such as ArcGIS, GMS, EVS, and Visual Modbrew, and the resulting three-dimensional model entity data is exported in .dat format. The model's granularity is 1m. 3 ~2m 3 .

[0082] A three-dimensional stratigraphic model was constructed based on borehole data.

[0083] Specifically, based on the information analysis from the preliminary site investigation, a detailed geological survey and geotechnical test of the contaminated area are carried out, and a three-dimensional stratigraphic model containing soil type information is constructed based on the detailed geological survey and geotechnical test data.

[0084] In some embodiments of this example, based on detailed geological surveys and borehole geotechnical test data of the contaminated area, a three-dimensional stratigraphic model containing soil type information is constructed using borehole data. This is primarily achieved by constructing stratigraphic profiles using borehole coordinates and layer data, followed by profile interpolation. This process can be implemented using simulation software such as ArcGIS, GMS, and EVS, and the resulting 3D model entity data is exported in .dat format. The model's granularity is 1m. 3 ~2m 3 .

[0085] S130: Based on soil type data and the fluid properties of in-situ injected agents, the optimal injection parameters for different soil types are obtained through particle fluid simulation;

[0086] The soil type data includes at least one or more of the following: soil permeability coefficient, bulk density, porosity, and organic matter content. The fluid properties of the in-situ injected agent include at least one or more of the following: in-situ agent fluidity, viscosity, and particle size. The injection parameters for the soil type include at least one or more of the following: injection pressure, injection velocity, injection flow rate, and radius of influence.

[0087] Specifically, particle hydrodynamics (SPH) simulation software and computational fluid dynamics (CFD) simulation software are used to input information such as permeability coefficient, bulk density, porosity, and organic matter content of different soil types, as well as information such as the fluidity, viscosity, and particle size of the in-situ agent. Numerical simulations are then performed on the injection of the agent jet for different soil types to obtain the optimal injection parameters such as optimal injection pressure, optimal injection velocity, optimal injection flow rate, and optimal radius of influence for different soil types.

[0088] S140: Based on the optimal injection parameters for different soil types, injection points are laid out in a three-dimensional site model to obtain a vector map of injection points.

[0089] Please refer to Figure 3, which is a schematic diagram of an injection point layout according to one embodiment of the present invention. In some embodiments of this invention, the above-mentioned optimal injection parameters include the optimal influence radius; the above-mentioned optimal injection parameters based on different soil types are used to lay out injection points in a three-dimensional site model to obtain an injection point vector map, including: A1: laying out two first injection points in any stratum of the three-dimensional site model, using the two first injection points as two circle centers, and forming two intersecting first circles by combining the optimal influence radius; A2: using the two first intersection points obtained by the intersection of the two first circles, drawing an outer straight line passing through the two first intersection points; A3: laying out a second... Injection point; where, with the second injection point as the center, the second circle formed by combining the optimal influence radius intersects with the first intersection point; A4: Using the two second intersection points formed by the second circle intersecting with any existing circle in the stratum, draw a new external straight line passing through the two second intersection points, and place a new second injection point on the new external straight line; A5: Based on the new second injection point, obtain a new second circle; A6: Repeat A4 to A5 until the strata are traversed; A7: Repeat A1 to A7 until all strata of the three-dimensional site model are traversed, and obtain the injection point vector map.

[0090] Specifically, based on the obtained optimal influence radius, spatial software is used to arrange the injection points. In the i-th stratum (1 ≤ i ≤ the total number of strata in the 3D site model), two injection points are first placed. These two injection points are used as the centers of two circles, and the circles formed by these two points and the optimal influence radius are superimposed, with the intersection angle between the circles being 20 and 30°. Next, a third injection point is placed on the outer straight line formed by the two intersection points of these circles. The circle formed by this third injection point and the optimal influence radius intersects with the intersection point of the first two circles. This process is repeated, using the intersection points of any two circles to place new injection points until the injection points for the local stratum are complete. The circles formed by each injection point and the optimal influence radius are superimposed. The same method is then used to optimize the injection point layout for other strata, forming an injection point vector map consistent with the 3D site model. This achieves the goal of optimizing the arrangement of injection points.

[0091] It should be noted that since the optimal injection parameters differ for different soil types, the optimal influence radius should be selected as the circle when setting up injection points according to the different soil types.

[0092] S150: Based on the three-dimensional pollution spatial distribution model, three-dimensional stratigraphic model, optimal injection parameters for different soil types, injection point vector map, and reagent injection correlation equation, generate a reagent injection scheme driven by the three-dimensional site model.

[0093] In some embodiments of this example, based on the reagent injection correlation equation and the three-dimensional pollution spatial distribution model in the three-dimensional site model, the total amount of reagent required is estimated by numerical software integration, thereby intelligently and accurately improving the reagent matching amount.

[0094] Specifically, programming languages ​​such as Python and Java are used to program and call the relevant 3D pollution spatial distribution model, 3D stratigraphic model, optimal injection parameters for different soil types, injection point vector map, and reagent injection correlation equation, coupling them to form an injection driving data package (.dat) (which contains the reagent injection plan). The injection driving data package (.dat) based on the 3D site model is imported into the injection equipment control system, enabling the injection equipment to intelligently adjust whether to perform jet injection, the injection process parameters, and the injection volume according to the spatial distribution of pollution and the soil types of different strata. This achieves the goal of intelligent, automatic, and precise injection of remediation reagents, improving the accuracy of in-situ reagents and reducing the total reagent consumption.

[0095] S160: Import the chemical injection plan into the injection equipment control system to execute the site remediation chemical injection;

[0096] In some embodiments of this example, the above-mentioned importing of the agent injection plan into the injection equipment control system to perform site remediation agent injection includes: generating a drive data packet according to the agent injection plan and importing the drive data packet into the injection equipment; wherein the injection equipment is configured to: parse the agent injection plan based on the drive data packet; automatically adjust the opening and closing of the jet nozzle and the agent injection volume based on the agent injection plan and a three-dimensional contamination spatial distribution model; and automatically adjust the agent injection parameters based on the agent injection plan and a three-dimensional geological model.

[0097] The injection equipment used is mainly a direct-push pressure jet injection process. First, according to the injection point vector map, the injection equipment is arranged sequentially at the injection points. The injection rod with injection holes at the top is directly pushed to the designated depth underground. Then, the chemical material is injected into the injection pipe through a high-pressure pump. During the process of pulling up the injection rod, according to the injection drive data package program, the chemical is intelligently controlled to be radially sprayed into the soil through the holes around the drill bit. The injection equipment will automatically adjust the opening and closing of the jet nozzle and the injection volume of the chemical based on the three-dimensional pollution spatial distribution model in the three-dimensional site model. The injection equipment will automatically retrieve and adjust the injection parameters of the chemical based on the soil type data of the three-dimensional stratum model in the three-dimensional site model, so as to realize the automatic identification and adjustment of injection parameters according to the three-dimensional stratum model data.

[0098] S170: Obtain the site pollutant remediation results after agent injection. If the site pollutant remediation results do not meet the preset standards, update the three-dimensional site model based on the current site and repeat the above steps until the site pollutant remediation results meet the preset standards.

[0099] Specifically, the injected reagent undergoes physicochemical and biological reactions with the site pollutants. The remediation results after reagent injection are obtained. If the remediation results meet the preset standards, the site remediation is considered complete. If the remediation results do not meet the preset standards, the soil type (including soil permeability, bulk density, porosity, and organic matter content) and the data of the site to be remediated (including pollutants, pollution range, and pollution degree) are updated based on the current site after reagent remediation. This updates the 3D site model, and steps S110 to S170 are repeated until the site remediation results meet the preset standards. The criterion for determining whether the site remediation results meet the preset standards is: if two consecutive monitoring sessions (7 days apart) show C... 污染物 ≥C 标 If a second injection is required, then two consecutive monitoring sessions (7 days apart) are needed for C. 污染物 <C 标 Then the preset standard is met, where C 污染物 C represents the concentration of pollutants in the soil. 标 This represents the highest standard for the concentration of pollutants in the soil.

[0100] In the above implementation process, this method determines the in-situ injection agent based on the target pollutants in the data of the contaminated site to be treated, and obtains the fluid properties of the in-situ injection agent. Based on the pollution distribution data and borehole data, a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model are obtained through software interpolation modeling. Based on the soil type and the properties of the injected agent, particle fluid simulation is used to numerically simulate the injection of agent jets for different soil types to obtain the optimal injection parameters for different soil types. Based on the optimal injection parameters for different soil types, injection points are laid out in the three-dimensional site model to obtain a vector point map of injection points for optimized arrangement. Based on the three-dimensional pollution spatial distribution model, the three-dimensional stratigraphic model, the optimal injection parameters for different soil types, the vector point map of injection points, and the agent injection correlation equation, a three-dimensional model-driven agent injection scheme is generated. The chemical injection plan is integrated into the injection equipment control system. This system drives the injection equipment to automatically adjust the opening and closing of the jet nozzles and the injection volume based on the spatial distribution data of the contaminated area. Simultaneously, it automatically retrieves and adjusts the injection parameters based on the soil type data of the strata. This ensures consistency between the target injection space and the spatial distribution of contaminated areas, avoiding indiscriminate injection into uncontaminated or low-contaminated underground areas. This improves the intelligent and precise control of chemical injection and reduces chemical consumption. Finally, based on the current site contaminant remediation results, it determines whether to update the 3D site model and generate a new chemical injection plan for injection, ensuring the site contaminant remediation results meet preset standards. This achieves the goal of accurately characterizing site features and designing injection remediation, thereby optimizing the injection design, improving remediation effectiveness, and reducing remediation costs.

[0101] In some embodiments of this example, the construction rules for the above-mentioned reagent injection correlation equations are as follows: Reagent injection correlation equations for each soil type are constructed using theoretical calculation methods and / or small-scale experimental methods. The theoretical calculation method calculates reagent consumption based on equations or ratios of physical, chemical, and biological reactions, while the small-scale experimental method calculates reagent consumption based on laboratory gradient tests. Thus, by employing theoretical calculation or small-scale experimental methods, an algorithm for the theoretical addition amount of reagent materials is established, forming reagent injection correlation equations for each soil type.

[0102] In some embodiments of this example, the above-mentioned agent injection correlation equation includes a pollution concentration agent injection rate correlation equation, an agent consumption integral equation, and an injection time control equation; wherein, the pollution concentration agent injection rate correlation equation is C 药剂 =C 污染 ×k1+C 有机 ×k2+C 其他 The integral equation for the amount of medicine consumed is ×k3, where M is the integral equation for the amount of medicine consumed. 药剂 =δ×β×∫C 药剂 The injection time control equation is T = M.药剂 / υ; where C 药剂 C represents the concentration of the pesticide to be injected into the soil. 污染 C represents the concentration of pollutants in the soil. 有机 C represents the concentration of organic matter in the soil. 其他 M represents the concentration of reducing ions in the soil. 药剂 denoted as the soil pesticide solution injection volume, k1, k2, and k3 are the pesticide consumption coefficients as a function of the corresponding substance concentration, δ is the pesticide safety margin coefficient, β is the pesticide solution proportionality coefficient, T is the spraying time per unit volume of soil pesticide solution, and υ is the pesticide solution injection rate.

[0103] In some embodiments of this example, the above-mentioned site pollution remediation agent injection method further includes: monitoring and evaluating the site pollutants after agent injection by combining groundwater pollution online monitoring methods and soil borehole sampling and testing methods, so as to obtain site pollutant remediation results.

[0104] Specifically, the injected agents undergo physicochemical and biological reactions with the site pollutants. The remediation effect is monitored and evaluated by combining online groundwater pollution monitoring methods and soil borehole sampling and testing methods to obtain the site pollutant remediation results.

[0105] In some embodiments of this example, the above-mentioned method of monitoring and evaluating site pollutants after agent injection, which combines online groundwater pollution monitoring and soil borehole sampling detection methods, includes:

[0106] According to the preset grid size data, the monitoring well locations are evenly distributed; the monitoring wells are used to detect various indicators of pollutants in the site.

[0107] The monitoring wells are arranged in a grid between 20m×20m and 50m×50m, with no fewer than three monitoring wells per plot. The monitoring wells must be evenly distributed within the contaminated area. Monitoring indicators include the target pollutant and conventional groundwater indicators, such as NO3. -1 TPH, ORP, DO, Ph, etc.

[0108] Based on the indicator monitoring data obtained from the monitoring wells, the error of the change in site pollutants within a preset time period is obtained;

[0109] Specifically, the indicator monitoring data obtained from the monitoring wells are uploaded via online monitoring, with the upload frequency ≤ 3 hours / time.

[0110] When the variation error is less than a preset threshold, monitoring and evaluation are carried out using soil borehole sampling and testing methods.

[0111] For example, when the 7-day variation error of site pollutants is ≤10%, a soil borehole sampling and testing method is initiated to evaluate the remediation effect.

[0112] Example 2

[0113] Please refer to Figure 2, which is a roadmap of a site pollution remediation agent precision injection technology method driven by a three-dimensional spatial model provided by one embodiment of the present invention.

[0114] In this embodiment, the site comprises multiple intersecting pollution plumes, with petroleum hydrocarbons as the pollutant. Preliminary investigation and assessment indicate that both soil and groundwater petroleum hydrocarbons (TPH) pose significant risks to human health, necessitating remediation. The contaminated area is approximately 1500 square meters, with a maximum contamination depth of 8 meters. The soil types, from top to bottom, are miscellaneous fill, silt, and clay. The preliminary investigation and risk assessment report recommends in-situ chemical oxidation technology for remediation.

[0115] Step 1: Based on the preliminary site survey and the proposed remediation site, and according to the target petroleum hydrocarbon pollutants, determine that the in-situ injection agent to be used is sodium persulfate solution (Na₂S₂O₈ mass ratio 35%), and obtain the solution fluid properties of the agent.

[0116] Step 2: Based on the information analysis from the preliminary site investigation, 10 soil sampling points were set up in the contaminated area using a 10m×10m grid. Five soil samples were taken vertically from each sampling point to conduct a high-precision detailed investigation of the pollution distribution. Based on the pollution data from the high-precision detailed investigation, a three-dimensional spatial distribution model of the pollution was constructed using the IDW inverse distance interpolation method in GMS software. The volume of soil exceeding the pollution standard in the model was 4716 m³. 3 The volume of heavily polluted (exceeding the standard by more than 2 times) earthwork was 159 cubic meters. 3 Export entity model data in .sol format;

[0117] Step 3: Based on the information analysis of the preliminary site investigation, conduct detailed geological surveys and geotechnical tests on the contaminated area. Based on the detailed geological survey and geotechnical test data, construct a three-dimensional stratigraphic model containing soil type information. The site can be divided into 13 parts according to soil type, and the solid model data in .sol format can be exported.

[0118] Step 4: Based on the soil type data obtained from the detailed geological survey and geotechnical test data in Step 3, and combined with the in-situ injection agent type determined in Step 1, numerical simulation was used to obtain the optimal injection parameters for different soil types: For miscellaneous fill, injection pressure 0.5 MPa, injection rate 15 L / min, and influence radius 2.5 m; for silty clay, injection pressure 0.8 MPa, injection rate 8 L / min, and influence radius 1.8 m; for clay, injection pressure 1.5 MPa, injection rate 5 L / min, and influence radius 1.3 m. The injection points were optimized and arranged, with approximately 170 injection points deployed, and the vector coordinate information of each point was compiled.

[0119] Step 5: Using a small-scale test method, establish an algorithm for the theoretical addition amount of reagent materials, form a correlation equation for the injection of reagents with different pollution concentrations under different soil types, and by combining the pollution spatial distribution model in Step 2, use numerical integration to estimate the total amount of Na₂S₂O₈ reagent required to be 185t. Prepare the required amount of reagent into an activated solution in advance and transport it to the site for later use.

[0120] Step 6: Couple the agent attribute information, three-dimensional pollution spatial distribution model, three-dimensional stratigraphic model, optimal injection parameters for different soil types, pollution concentration-agent injection volume correlation equation, and injection arrangement point information obtained in steps 1-5 to form an injection driving data package .dat;

[0121] Step 7: Import the injection drive data package .dat based on the three-dimensional spatial model from Step 6 into the injection device control system. The injection device will automatically, intelligently and accurately inject the drug according to the arranged injection point sequence.

[0122] Step 8: The injected sodium persulfate reacts with petroleum hydrocarbon pollutants in the site through oxidation. Seven days after remediation, the remediation effect is monitored and evaluated by sampling from groundwater monitoring wells (3 wells evenly distributed) and soil boreholes (10m×10m grid).

[0123] Step 9: The test results show that the TPH concentration in the soil is 39 mg / kg and the TPH concentration in the groundwater is 0.8 mg / L, which meets the remediation target value requirements.

[0124] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 2%, and the required dosage is 480t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is 185t, which can be significantly reduced by 61.5%. Furthermore, the sodium persulfate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0125] Example 3

[0126] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0127] In this embodiment, the contaminants on the site are benzene and toluene. Preliminary investigation and assessment revealed that the levels of benzene and toluene in the soil exceeded the Class II screening standard values ​​for construction land (GB36600-2018), and the levels in the groundwater also exceeded the Class III quality standard for groundwater (GB14848-2017), necessitating remediation. The contaminated area is approximately 240 square meters, with a maximum contamination depth of 10 meters. The soil types, from top to bottom, are miscellaneous fill, fine sand, and silty clay. The investigation and assessment report recommends in-situ chemical oxidation technology for remediation.

[0128] Based on the target pollutant situation, in steps 1-5, this embodiment employs in-situ injection of potassium permanganate-based remediation solution (KMnO4 mass ratio 5%). A high-precision detailed survey of pollution distribution is conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model is constructed using the IDW inverse distance interpolation method in GMS software. The volume of soil exceeding the pollution standard in the three-dimensional pollution spatial distribution model is 1680 m³. 3 Export solid model data in .sol format; construct a 3D stratigraphic model containing soil type information, dividing the plot into 5 parts according to soil type, and export solid model data in .sol format. Obtain the optimal injection parameters for different soil types: injection pressure 0.4MPa, injection rate 15L / min, influence radius 2.5m for miscellaneous fill; injection pressure 0.2MPa, injection rate 20L / min, influence radius 3.4m for fine sand; injection pressure 0.9MPa, injection rate 5L / min, influence radius 1.8m for silty clay. Optimize the arrangement of injection points, setting up a total of 21 injection points; the total amount of KMnO4 reagent required is estimated to be 24t using numerical integration. In step 9, the remediation effect assessment shows that benzene and toluene in the soil are both lower than the standard values ​​for Class II construction land, and benzene and toluene in the groundwater are both lower than the Class III groundwater quality standard, achieving the remediation target.

[0129] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 1.5%, and the required dosage is 36t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is 24t, which can reduce the dosage by 33.3%. Furthermore, the potassium permanganate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0130] Example 4

[0131] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0132] In this embodiment, the site represents a single pollution plume, and the pollutants are heavy petroleum components. Preliminary investigation and assessment revealed that the total petroleum hydrocarbons and naphthalene in the soil exceeded the Class II screening standard values ​​for construction land (GB36600-2018). Groundwater is at a considerable depth and has not yet formed pollution. Therefore, soil pollution requires remediation. The area of ​​the single pollution plume to be remediated is approximately 517 square meters, with a maximum pollution depth of 12 meters. The contaminated strata are all silt, and in-situ chemical oxidation technology is recommended for remediation.

[0133] Based on the target pollutant situation, in steps 1-5, this embodiment employs in-situ injection of Fenton-type remediation solution (H2O2:FeSO4 = 1:1, Fenton reagent total mass ratio 40%). A high-precision detailed survey of pollution distribution is conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model is constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding the pollution standard is 3722 m³. 3 Export solid model data in .sol format; in this embodiment, the contaminated space has only one soil type, so it is not necessary to construct a three-dimensional stratigraphic model containing soil type information; obtain the optimal injection parameters for the silty soil type: injection pressure 0.3MPa, injection rate 17L / min, and influence radius 3.1m; optimize the arrangement of injection points, with a total of 14 injection points; use numerical integration to estimate the total amount of Fenton reagent required to be 137t. In step 9, the remediation effect assessment shows that the total petroleum hydrocarbons and naphthalene in the soil are both lower than the standard values ​​for Class II construction land, achieving the remediation target.

[0134] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 2.2%, and the required dosage is 164t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is 137t, which can be reduced by 16.5%. Furthermore, the potassium permanganate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0135] Example 5

[0136] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0137] This example illustrates a point-source solvent leak contamination site. The contaminated space is funnel-shaped, and the leaked pollutant is trichloroethylene. It has not yet spread to the groundwater and is located around the equipment. Ex-situ remediation is not possible, so emergency in-situ oxidation remediation of the contaminated soil is required. The contaminated area is 190㎡, the maximum contamination depth is 7m, and the maximum contamination concentration exceeds the screening value for Class II construction land by 5 times. The contaminated strata are all silt.

[0138] Based on the target pollutant situation, in steps 1-5, this remediation involves in-situ injection of sodium persulfate-type remediation solution (Na₂S₂O₈ mass ratio 35%). A high-precision detailed survey of the pollution distribution was conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model was constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding the pollution standard is 537 m³. 3 The contaminated space exhibits a typical inverted funnel-shaped heterogeneous spatial distribution, and solid model data in .sol format is exported. In this embodiment, the contaminated space has only one soil type, so a three-dimensional stratigraphic model containing soil type information is not required. The optimal injection parameters for the silty soil type are obtained: injection pressure 0.2 MPa, injection rate 14 L / min, and influence radius 3.5 m. The injection points are optimized and arranged, with a total of 5 injection points. The total amount of sodium persulfate required is estimated to be 22 t using numerical integration. In step 9, the remediation effect assessment shows that the trichloroethylene content in the soil is lower than the standard value for Class II construction land, achieving the remediation target.

[0139] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 2%, and the required dosage is 54t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model, the required dosage is 22t, which can be reduced by 59%. Furthermore, the sodium persulfate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into the uncontaminated or low-contaminated space in the upper part of the funnel.

[0140] Example 6

[0141] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0142] This example illustrates a contaminated site at a gas station. The main sources of pollution are early contamination from underground tanks, shallow surface seepage contamination from the washing workshop, and contamination from the intermediate layers of pipelines, forming a complex and interconnected contaminated space. The soil and groundwater contain excessive levels of methyl tert-butyl ether, requiring in-situ oxidation remediation of the contaminated soil. The contaminated area is 683 square meters, with a maximum contamination depth of 9 meters, but most of the contamination depth is between 3 and 7 meters. The contaminated strata consist of silt and clay layers.

[0143] Based on the target pollutant situation, in steps 1-5, this remediation involves in-situ injection of sodium persulfate-type remediation solution (Na₂S₂O₈ mass ratio 35%). A high-precision detailed survey of the pollution distribution was conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model was constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding the pollution standard is 1137 m³. 3 The underground contaminated space was misaligned, so solid model data in .sol format was exported. A three-dimensional stratigraphic model containing soil type information was constructed, dividing the site into three parts according to soil type, and solid model data in .sol format was exported. Optimal injection parameters for different soil types were obtained: silt injection pressure 0.2MPa, injection rate 16L / min, and influence radius 3.1m; silty clay injection pressure 0.9MPa, injection rate 5L / min, and influence radius 1.8m. The injection points were optimized and arranged, with a total of 9 injection points. The total amount of sodium persulfate required was estimated to be 39t using numerical integration. In step 9, the remediation effect assessment showed that the methyl tert-butyl ether in the soil achieved the remediation target.

[0144] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 1.8%, and the required dosage is 122t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is 39t, which can be reduced by 68%. Furthermore, the sodium persulfate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0145] Example 7

[0146] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0147] This example illustrates a contaminated site with a clay interlayer. Xylene pollutants mainly migrated and diffused within the fine sand layer, without contaminating the thick clay interlayer. However, excessive levels were observed both above and below the thick clay interlayer, necessitating in-situ oxidation remediation of the contaminated soil and groundwater. The contaminated area was 306 m², with a maximum contamination depth of 13 m. The contamination concentration in the clay interlayer, between 5 and 9 m in the middle, did not exceed the standard. The contaminated strata consisted of miscellaneous fill and fine sand.

[0148] Based on the target pollutant situation, in steps 1-5, this remediation involves in-situ injection of potassium permanganate-based remediation solution (KMnO4 mass ratio 5%); a high-precision detailed survey of pollution distribution is conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model is constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding pollution standards is 815 m³. 3 The pollutants diffused around the clay interlayer, and the pollution concentration in the lower part of the interlayer was also low, so no chemical remediation was required. Solid model data in .sol format was exported. A three-dimensional stratigraphic model containing soil type information was constructed, dividing the site into five parts according to soil type. Solid model data in .sol format was also exported. Optimal injection parameters for different soil types were obtained: injection pressure 0.3 MPa, injection rate 15 L / min, and influence radius 2.6 m for miscellaneous fill; injection pressure 0.2 MPa, injection rate 18 L / min, and influence radius 3.1 m for fine sand. The injection points were optimized and arranged, with a total of 8 injection points. The total amount of potassium permanganate required was estimated to be 39 t using numerical integration. In step 9, the remediation effect assessment showed that the methyl tert-butyl ether in the soil met the remediation target.

[0149] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 2.2%, and the required dosage is 107t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is 39t, which can be reduced by 64%. Furthermore, the potassium permanganate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0150] Example 8

[0151] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0152] This example illustrates a site contaminated with lead. Preliminary investigation and risk assessment indicate that lead in the soil and groundwater poses a significant risk to human health, necessitating in-situ solidification / stabilization remediation. The contaminated area to be remediated is approximately 200 square meters, with a contamination depth ranging from 2 to 6 meters. The soil type at this contaminated depth is silty clay.

[0153] Based on the target pollutant situation, in steps 1-5, this remediation involves in-situ injection of a solidification / stabilizing agent (addition ratio of 10% sodium sulfide + 3% calcium dihydrogen phosphate + 25% cement); a high-precision detailed survey of pollution distribution is conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model is constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding pollution standards is 527 m³. 3 Export solid model data in .sol format; in this embodiment, the contaminated space has only one soil type, so it is not necessary to construct a three-dimensional stratigraphic model containing soil type information; obtain the optimal injection parameters for the silty clay type: injection pressure 2.3MPa, injection rate 12L / min, and influence radius 2.4m; optimize the arrangement of injection points, with a total of 7 injection points; use numerical integration to estimate the total amount of solidifying / stabilizing agent required to be 400t. In step 9, the remediation effect assessment shows that the leaching toxicity of lead in the soil has reached the remediation target.

[0154] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated as 10% sodium sulfide + 3% calcium dihydrogen phosphate + 25% cement, requiring approximately 600 tons of agent. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is reduced to 400 tons, which is 33% lower. Furthermore, the solidification / stabilization agent can be precisely injected into the target contaminated space for remediation through a three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0155] Example 9

[0156] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0157] This example illustrates a benzene-contaminated site. Preliminary investigation revealed that benzene levels in the soil exceeded the Class II screening standard for construction land (GB36600-2018), and benzene levels in the groundwater exceeded the Class III quality standard for groundwater (GB14848-2017). Microbial remediation techniques are required. The contaminated area to be remediated is approximately 1600 square meters, with a contamination depth of 4–7 meters, distributed in the clay layer.

[0158] Based on the target pollutant situation, in steps 1-5, this remediation method involves in-situ injection of bacterial remediation agent (bacterial solution OD500 > 2, nutrient solution mass ratio > 15%); a high-precision detailed survey of pollution distribution is conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model is constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding the pollution standard is 3284 m³. 3 Export solid model data in .sol format; in this embodiment, the contaminated space has only one soil type, so it is not necessary to construct a three-dimensional stratigraphic model containing soil type information; obtain the optimal injection parameters for the silty clay type: injection pressure 0.6MPa, injection rate 18L / min, and influence radius 2.8m; optimize the arrangement of injection points, with a total of 53 injection points; use numerical integration to estimate the total amount of solidification / stabilizing agent required to be 328t. In step 9, the remediation effect assessment shows that the benzene concentration in the soil has reached the remediation target.

[0159] In this embodiment, if conventional injection is used, with a bacterial solution to contaminated soil dosage ratio of 5%, the required dosage would be approximately 480 tons. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is reduced to 328 tons, which is 32% lower. Furthermore, the bacterial solution remediation agent can be precisely injected into the target contaminated space for remediation through a three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0160] Example 10

[0161] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0162] This example describes a site contaminated with hexavalent chromium. Preliminary investigation and risk assessment indicate that hexavalent chromium in the soil and groundwater poses a significant risk to human health, necessitating in-situ chromium reduction remediation. The contaminated area to be remediated is approximately 319 square meters, with a maximum contamination depth of 13 meters. The soil types at this depth are silt and clayey silt.

[0163] Based on the target pollutant situation, in steps 1-5, this remediation method utilizes ferrous sulfate (40% by mass) as an in-situ reducing agent. A high-precision detailed survey of the pollution distribution is conducted using a 10m × 10m grid, and a three-dimensional spatial distribution model of the pollution is constructed using the IDW inverse distance interpolation method in GMS software. The model shows that the volume of soil exceeding the pollution standard is 527 m³. 3 Export solid model data in .sol format; construct a 3D stratigraphic model containing soil type information, dividing the site into 4 parts according to soil type, and export solid model data in .sol format; obtain the optimal injection parameters for different soil types: silty soil injection pressure 0.5MPa, injection rate 22L / min, influence radius 3.4m; silty clay injection pressure 1.5MPa, injection rate 14L / min, influence radius 2.8m; optimize the arrangement of injection points, setting up a total of 11 injection points; use numerical integration to estimate the total amount of reducing agent required as 39t. In step 9, the remediation effect evaluation shows that the hexavalent chromium in the soil has reached the remediation target.

[0164] In this embodiment, if conventional injection is used, the dosage of the agent to the contaminated soil is calculated based on 3% ferrous sulfate, requiring approximately 86 tons of agent. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model as described in this embodiment, the required dosage is only 39 tons, which is a reduction of 55%. Furthermore, the hexavalent chromium reducing agent can be precisely injected into the target contaminated space for remediation through a three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into uncontaminated or low-contaminated spaces.

[0165] Example 11

[0166] This embodiment provides a method for intelligent and precise injection of site pollution remediation agents driven by a three-dimensional spatial model, and provides the implementation details of specific parameters and agent dosages in steps 1-5 and step 9. For other steps, model and equation construction calculations not described in this embodiment, please refer to the steps and methods given in Embodiment 2, which will not be repeated here.

[0167] This example describes a recontaminated site of a solid waste landfill. The solid waste in the landfill had been emptied and treated, and backfilled with miscellaneous soil. Later, it was discovered that there was an organic composite pollution layer of about 1 to 3 meters thick in the original pit. The pollution layer was distributed in a funnel shape. The main pollutants included toluene, styrene, nitrobenzene, etc. The landfill area was about 900 square meters, with a maximum depth of 6 meters. The contaminated stratum was treated in accordance with the treatment of clay layers.

[0168] Based on the target pollutant situation, in steps 1-5, this remediation involves in-situ injection of sodium persulfate-type remediation solution (Na₂S₂O₈ mass ratio 40%). A high-precision detailed survey of the pollution distribution was conducted using a 10m × 10m grid, and a three-dimensional pollution spatial distribution model was constructed using the IDW inverse distance interpolation method in GMS software. The volume of soil with excessive pollution in the model is 418 m³. 3 The contaminated space exhibits a typical funnel-shaped heterogeneous spatial distribution. The backfill soil inside the funnel is uncontaminated, and solid model data in .sol format is exported. In this embodiment, the contaminated space has only one soil type, so a three-dimensional stratigraphic model containing soil type information is not required. The optimal injection parameters for the clay soil type are obtained: injection pressure 3.2 MPa, injection rate 9 L / min, and influence radius 1.3 m. The injection points are optimized and arranged, with a total of 47 injection points. The total amount of sodium persulfate required is estimated to be 28 t using numerical integration. In step 9, the remediation effect assessment shows that the levels of toluene, styrene, and nitrobenzene in the soil and groundwater have all reached the remediation target values.

[0169] In this embodiment, if conventional injection is used, the dosage ratio of the agent to the contaminated soil is calculated at 3%, and the required dosage is 67t. However, by adopting the intelligent and precise injection technology for site pollution remediation agents driven by a three-dimensional spatial model, the required dosage is 28t, which can be reduced by 58%. Furthermore, the sodium persulfate agent can be precisely injected into the target contaminated space for remediation through the three-dimensional spatial distribution model of the pollution, avoiding ineffective injection into the uncontaminated or low-contaminated spaces in the upper and middle backfill soil of the funnel.

[0170] Example 12

[0171] Figure 4 is a block diagram of a site pollution remediation agent injection system according to one embodiment of the present invention. As shown in Figure 4, the embodiment of the present invention provides a site pollution remediation agent injection system, including:

[0172] The in-situ injection agent determination module is used to determine the in-situ injection agent and its fluid properties based on pre-determined data of the contaminated site to be treated.

[0173] The model building module is used to construct a three-dimensional site model based on pre-acquired pollution distribution data and borehole data; the three-dimensional site model includes a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model.

[0174] The optimal injection parameter determination module is used to obtain the optimal injection parameters for different soil types based on soil type data and the fluid properties of the in-situ injected agent through particle fluid simulation.

[0175] The injection point layout module is used to lay out injection points in a three-dimensional site model based on the optimal injection parameters for different soil types, and obtain a vector map of injection points.

[0176] The agent injection scheme generation module is used to generate agent injection schemes driven by a three-dimensional site model based on a three-dimensional pollution spatial distribution model, a three-dimensional stratigraphic model, optimal injection parameters for different soil types, vector point maps of injection points, and agent injection correlation equations.

[0177] The chemical injection plan execution module is used to import the chemical injection plan into the injection equipment control system to execute the injection of site remediation chemicals;

[0178] The pollutant remediation monitoring module is used to obtain the site pollutant remediation results after the agent injection. When the site pollutant remediation results do not meet the preset standards, the three-dimensional site model is updated based on the current site, and the above steps are repeated until the site pollutant remediation results meet the preset standards.

[0179] Specifically, the system determines the in-situ injection agent based on the target pollutants in the data of the contaminated site to be treated, and obtains the fluid properties of the in-situ injection agent. Based on the pollution distribution data and borehole data, a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model are obtained through software interpolation modeling. Based on the soil type and the properties of the injected agent, particle fluid simulation is used to numerically simulate the injection of agent jets for different soil types, obtaining the optimal injection parameters for different soil types. Based on the optimal injection parameters for different soil types, injection points are laid out in the three-dimensional site model, obtaining a vector point map of injection points for optimized arrangement. Based on the three-dimensional pollution spatial distribution model, the three-dimensional stratigraphic model, the optimal injection parameters for different soil types, the vector point map of injection points, and the agent injection correlation equation, a three-dimensional model-driven agent injection scheme is generated. The chemical injection plan is integrated into the injection equipment control system. This system drives the injection equipment to automatically adjust the opening and closing of the jet nozzles and the injection volume based on the spatial distribution data of the contaminated area. Simultaneously, it automatically retrieves and adjusts the injection parameters based on the soil type data of the strata. This ensures consistency between the target injection space and the spatial distribution of contaminated areas, avoiding indiscriminate injection into uncontaminated or low-contaminated underground areas. This improves the intelligent and precise control of chemical injection and reduces chemical consumption. Finally, based on the current site contaminant remediation results, it determines whether to update the 3D site model and generate a new chemical injection plan for injection, ensuring the site contaminant remediation results meet preset standards. This achieves the goal of accurately characterizing site features and designing injection remediation, thereby optimizing the injection design, improving remediation effectiveness, and reducing remediation costs.

[0180] Example 13

[0181] The present invention provides a machine-readable storage medium storing instructions that, when executed by a processor 100, configure the processor 100 to perform the above-described site pollution remediation agent injection method.

[0182] Machine-readable storage media include both permanent and non-permanent, removable and non-removable media, which can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0183] The present invention also provides an electronic device 10, which includes a memory 101, a processor 100, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, it implements the above-described site pollution remediation agent injection method.

[0184] Figure 5 is a schematic diagram of an electronic device according to an embodiment of the present invention. As shown in Figure 5, the electronic device 10 of this embodiment includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, it implements the steps in the above method embodiment. Alternatively, when the processor 100 executes the computer program 102, it implements the functions of each module / unit in the above device embodiment.

[0185] For example, computer program 102 can be divided into one or more modules / units, one or more of which are stored in memory 101 and executed by processor 100 to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of computer program 102 in electronic device 10. For example, computer program 102 can be divided into an in-situ injection agent determination module, a model building module, an optimal injection parameter determination module, an injection point layout module, an agent injection scheme generation module, an agent injection scheme execution module, and a contaminant remediation monitoring module.

[0186] Electronic device 10 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. Electronic device 10 may include, but is not limited to, processor 100 and memory 101. Those skilled in the art will understand that FIG5 is merely an example of electronic device 10 and does not constitute a limitation on electronic device 10. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device may also include input / output devices, network access devices, buses, etc.

[0187] The processor 100 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0188] The memory 101 can be an internal storage unit of the electronic device 10, such as a hard disk or RAM of the electronic device 10. The memory 101 can also be an external storage device of the electronic device 10, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the electronic device 10. Furthermore, the memory 101 can include both internal and external storage units of the electronic device 10. The memory 101 is used to store computer programs and other programs and data required by the electronic device 10. The memory 101 can also be used to temporarily store data that has been output or will be output.

[0189] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0190] Those skilled in the art will understand that embodiments of this application can be provided as a method, system, or computer program 102 product. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program 102 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.

[0191] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program 102 products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program 102 instructions. These computer program 102 instructions can be provided to a processor 100 of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor 100 of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more flowchart illustrations and / or one or more block diagrams.

[0192] These computer program 102 instructions may also be stored in a computer-readable storage medium 101 that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium 101 produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.

[0193] These computer program 102 instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.

[0194] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0195] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for injecting a site contamination remediation agent, characterized in that, include: Based on pre-determined data of the contaminated site to be treated, the in-situ injection agent and its fluid properties are determined. A three-dimensional site model is constructed based on pre-acquired contamination distribution data and borehole data. This three-dimensional site model includes a three-dimensional contamination spatial distribution model and a three-dimensional stratigraphic model. Based on soil type data and the fluid properties of the in-situ injection agent, optimal injection parameters for different soil types are obtained through particle fluid simulation. These optimal injection parameters include the optimal influence radius. Based on the optimal injection parameters for different soil types, injection points are laid out in the three-dimensional site model to obtain a vector map of the injection points. Based on the three-dimensional contamination spatial distribution model and the three-dimensional stratigraphic model... A 3D site model-driven chemical injection scheme is generated by using a 3D geological model, optimal injection parameters for different soil types, vector point maps of injection points, and chemical injection correlation equations. This scheme is then imported into the injection equipment control system to execute the site remediation chemical injection. The remediation results of the site pollutants after chemical injection are obtained. If the remediation results do not meet the preset standards, the 3D site model is updated based on the current site, and the above steps are repeated until the remediation results meet the preset standards. The construction rules for the chemical injection correlation equations are as follows: theoretical calculation methods and / or small-scale experimental methods are used to construct the chemical injection correlation equations for each soil type. The equations are as follows: The theoretical calculation method calculates reagent consumption based on equations or ratios of physical, chemical, and biological reactions; the small-scale test method calculates reagent consumption based on laboratory gradient tests. The optimal injection parameters for different soil types are used to lay out injection points in the three-dimensional site model to obtain a vector map of the injection points, including: A1: Laying out two first injection points in any stratum of the three-dimensional site model, using the two first injection points as the centers of two circles, and forming two intersecting first circles by combining the optimal influence radius; A2: Using the two first intersection points obtained from the intersection of the two first circles, drawing the outer perimeter of the two first intersection points. A3: Place a second injection point on the outer straight line; wherein, with the second injection point as the center, the second circle formed by combining the optimal influence radius intersects with the first intersection point; A4: Using the two second intersection points formed by the second circle intersecting with any existing circle in the stratum, draw a new outer straight line passing through the two second intersection points, and place a new second injection point on the new outer straight line; A5: Based on the new second injection point, obtain a new second circle; A6: Repeat A4 to A5 until the stratum is traversed; A7: Repeat A1 to A7 until all strata of the three-dimensional site model are traversed to obtain the injection point vector map.

2. The method for injecting site pollution remediation agents according to claim 1, characterized in that, The step of importing the agent injection plan into the injection equipment control system to execute site remediation agent injection includes: generating a drive data package according to the agent injection plan, and importing the drive data package into the injection equipment; wherein the injection equipment is configured to: parse the agent injection plan based on the drive data package; automatically adjust the opening and closing of the jet nozzle and the agent injection volume based on the agent injection plan and the three-dimensional contamination spatial distribution model; and automatically adjust the agent injection parameters based on the agent injection plan and the three-dimensional geological model.

3. The method for injecting site pollution remediation agents according to claim 1, characterized in that, The soil type data includes at least one or more of the following: soil permeability coefficient, bulk density, porosity, and organic matter content. The fluid properties of the in-situ injected agent include at least one or more of the following: in-situ agent fluidity, viscosity, and particle size. The injection parameters of the soil type include at least one or more of the following: injection pressure, injection velocity, injection flow rate, and radius of influence.

4. The method for injecting site pollution remediation agents according to claim 1, characterized in that, Also includes: Based on the initial site survey information, data on the contaminated site to be remediated is determined; wherein, the data on the contaminated site to be remediated includes one or more of the pollutants, contamination range, and contamination degree of the contaminated site; based on the initial site survey information, geological exploration and borehole geotechnical tests are conducted to obtain borehole data and soil type data.

5. The method for injecting site pollution remediation agents according to claim 1, characterized in that, The construction process of the three-dimensional site model is as follows: based on the initial site survey information, a pollution distribution survey is conducted using a grid division method to obtain pollution distribution data; based on the pollution distribution data, a three-dimensional pollution spatial distribution model is constructed; based on the geological borehole data, a three-dimensional stratigraphic model is constructed.

6. The method for injecting site pollution remediation agents according to claim 5, characterized in that, Methods for constructing three-dimensional pollution spatial distribution models include one or more of the following: three-dimensional kriging interpolation, inverse distance weighted interpolation, and nearest neighbor method.

7. The method for injecting site pollution remediation agents according to claim 1, characterized in that, The reagent injection correlation equations include a pollution concentration-powder injection rate correlation equation, a reagent consumption integral equation, and an injection time control equation; wherein, the pollution concentration-powder injection rate correlation equation is C 药剂 =C 污染 ×k1+C 有机 ×k2+C 其他 The integral equation for the amount of medicine consumed is ×k3, where M is the integral equation for the amount of medicine consumed. 药剂 =δ×β×∫C 药剂 The injection time control equation is T=M. 药剂 / υ; where C 药剂 C represents the concentration of the pesticide to be injected into the soil. 污染 C represents the concentration of pollutants in the soil. 有机 C represents the concentration of organic matter in the soil. 其他 M represents the concentration of reducing ions in the soil. 药剂 denoted as the soil pesticide solution injection volume, k1, k2, and k3 are the pesticide consumption coefficients as a function of the corresponding substance concentration, δ is the pesticide safety margin coefficient, β is the pesticide solution proportionality coefficient, T is the spraying time per unit volume of soil pesticide solution, and υ is the pesticide solution injection rate.

8. The method for injecting site pollution remediation agents according to claim 1, characterized in that, Also includes: By combining online groundwater pollution monitoring methods and soil borehole sampling methods, the pollutants in the site after the agent injection were monitored and evaluated, and the site pollutant remediation results were obtained.

9. The method for injecting site pollution remediation agents according to claim 8, characterized in that, The method of monitoring and evaluating site pollutants after agent injection by combining online groundwater pollution monitoring and soil borehole sampling includes: uniformly distributing monitoring wells according to preset grid size data; wherein, the monitoring wells are used to detect various indicators of site pollutants; obtaining the change error of site pollutants within a preset time period based on the indicator monitoring data obtained from the monitoring wells; and when the change error is less than a preset threshold, monitoring and evaluation are carried out using the soil borehole sampling method.

10. A site contamination remediation agent injection system, characterized in that, A method for injecting agents to perform site pollution remediation according to any one of claims 1 to 9, comprising: an in-situ injection agent determination module, used to determine the in-situ injection agent and its fluid properties based on pre-determined data of the contaminated site to be remediated; a model construction module, used to construct a three-dimensional site model based on pre-acquired pollution distribution data and borehole data; wherein the three-dimensional site model includes a three-dimensional pollution spatial distribution model and a three-dimensional stratigraphic model; an optimal injection parameter determination module, used to obtain optimal injection parameters for different soil types through particle fluid simulation based on soil type data and the fluid properties of the in-situ injection agent; an injection point layout module, used to lay out injection points in the three-dimensional site model based on the optimal injection parameters for different soil types, and obtain an injection point vector map; and an agent injection scheme generation module, used to generate a scheme based on the three-dimensional pollution spatial distribution model, the three-dimensional stratigraphic model, and different soil types. The system generates a chemical injection scheme driven by a 3D site model, using optimal injection parameters, a vector map of injection points, and chemical injection correlation equations for each soil type. An injection scheme execution module imports the scheme into the injection equipment control system to execute the site remediation chemical injection. A contaminant remediation monitoring module acquires the site contaminant remediation results after chemical injection. If the remediation results do not meet a preset standard, the 3D site model is updated based on the current site, and the above steps are repeated until the remediation results meet the preset standard. The construction rules for the chemical injection correlation equations are as follows: theoretical calculation methods and / or small-scale experimental methods are used to construct chemical injection correlation equations for each soil type. The theoretical calculation method calculates chemical consumption based on equations or ratios of physical, chemical, and biological reactions, while the small-scale experimental method calculates chemical consumption based on laboratory gradient tests.

11. A machine-readable storage medium storing instructions thereon, characterized in that, When executed by a processor, the instruction causes the processor to be configured to perform the site contamination remediation agent injection method according to any one of claims 1 to 9.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the site pollution remediation agent injection method according to any one of claims 1 to 9.

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