Groundwater pollution real-time monitoring method and system

Abstract

The invention relates to the technical field of environment monitoring, in particular to an underground water pollution real-time monitoring method and system, and the method comprises the following steps: analyzing the underground water flow direction and original pollution records in geographic information, combining the geologic structure and hydrological characteristics of a monitoring area, and through the water flow propagation characteristics; and marking the position of the pollution source and matching the pollution range to generate a matching result of the pollution source and the range. According to the invention, the underground water flow direction, the pollution record and the geological and hydrological characteristics are analyzed, the position and the range of a pollution source are accurately marked, the identification precision and the monitoring pertinence are improved, monitoring points are deployed at key positions, diffusion information is extracted in real time, an early warning threshold value is dynamically generated, early warning is issued in time, and emergency response is started, so that the pollution control efficiency is improved; rapid development of isolation and water quality treatment is ensured, closed-loop adjustment and optimization of monitoring parameters are realized, so that the method dynamically adapts to environmental changes, and comprehensive control of groundwater pollution is realized.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring technology, and in particular to a method and system for real-time monitoring of groundwater pollution. Background Art

[0002] The field of environmental monitoring technology is mainly used to monitor and manage the quality, pollutant concentration and changing trends of various elements in the environment (such as water, air, soil, etc.). This field comprehensively utilizes sensor networks, the Internet of Things, big data analysis, cloud computing and automatic control technology to obtain environmental quality data in real time and process it through a series of steps such as data collection, transmission, analysis and storage. Environmental monitoring provides strong technical support for environmental protection, enabling environmental protection agencies to accurately grasp the status of pollution sources and changing trends of pollutants, and make corresponding warnings and decisions. The technical field has important applications in water resource protection, air pollution control, soil remediation, etc., and can improve the accuracy and response speed of environmental monitoring, and provide effective data support for sustainable resource utilization and ecological environmental protection.

[0003] Among them, the real-time monitoring method of groundwater pollution mainly involves the use of advanced technologies such as sensors, data collection and processing, the Internet of Things and big data analysis to monitor and evaluate the water quality, water quantity and pollution of groundwater resources. Through real-time monitoring and automated processing technology, it can timely discover pollution sources, changes in pollutant concentrations and their diffusion trends, and provide accurate groundwater pollution monitoring data and governance recommendations for governments, environmental protection agencies and enterprises. This method can effectively avoid and mitigate groundwater pollution and ensure the safety and sustainable use of water resources.

[0004] In groundwater pollution monitoring, existing technologies only focus on the detection and numerical changes of pollutant concentrations, but lack a detailed analysis of geological and hydrological conditions, resulting in monitoring methods that are difficult to accurately identify pollution sources and pollution ranges, especially in complex geological conditions, where monitoring blind spots appear, affecting the representativeness of the data. Existing technologies rely on single-point or small-scale sampling to capture pollution diffusion trends, and it is difficult to effectively grasp the diffusion speed and the scope of the affected area, resulting in delayed responses and missed opportunities for early pollution control. The early warning mechanism of existing technologies is relatively static, setting a fixed concentration threshold, and failing to adapt to the dynamic changes in pollution diffusion. Therefore, it fails to respond in time when pollution intensifies, resulting in an expansion of the diffusion range. The lack of a closed-loop feedback mechanism makes it difficult for the monitoring system to adjust parameters according to the actual pollution situation, which can easily lead to a decline in monitoring effectiveness during long-term operation, and it is difficult to provide reliable and accurate groundwater pollution monitoring and control data support. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a real-time monitoring method and system for groundwater pollution.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a real-time monitoring method for groundwater pollution, comprising the following steps:

[0007] S1: By analyzing the groundwater flow direction and original pollution records in the geographic information, combined with the geological structure and hydrological characteristics of the monitoring area, and through the water flow propagation characteristics, the pollution source location is marked and the pollution range is matched to generate the pollution source and range matching results;

[0008] S2: Based on the matching results of the pollution source and the range, select key points in the groundwater flow direction, deploy monitoring points, continuously extract real-time diffusion information of pollutants in groundwater, generate real-time monitoring data, evaluate the diffusion speed of pollutant concentration and the scope of the affected area according to the real-time monitoring data, and generate diffusion speed evaluation results;

[0009] S3: Based on the diffusion rate assessment result, an early warning threshold of the pollution concentration is set. When the monitoring data triggers the threshold, the early warning is activated, an early warning is issued to the affected area, and an early warning start record is generated. According to the early warning start record, emergency measures are initiated in the pollution risk area to isolate pollutants and treat water quality, and an emergency response execution record is generated;

[0010] S4: Analyze the response coverage effect of the early warning and the control results of the polluted area through the monitoring data of the emergency response execution record, adjust the early warning threshold and emergency measures, update the groundwater pollution monitoring parameters, conduct closed-loop management of the entire groundwater pollution monitoring, and generate optimized groundwater pollution monitoring results.

[0011] As a further solution of the present invention, the steps of obtaining the pollution source and range matching result are specifically as follows:

[0012] S111: By analyzing the groundwater flow direction and original pollution records in the geographic information, extracting the combination of geological characteristic parameters, analyzing the water flow direction and geological characteristics, determining the migration direction and propagation path of pollutants in the geological interval, and generating the pollution source location range of the geological characteristics;

[0013] S112: Based on the pollution source location range of the geological characteristics, analyze the ratio of water flow rate to pollutant diffusion rate, calculate the diffusion radius, and use the formula:

[0014]

[0015] Generate pollution diffusion range results, where R is the diffusion radius, V s is the water flow rate, D is the water flow direction, K i is the diffusion coefficient of pollutants in the ith geological partition, C d is the diffusion concentration, α is the pollutant diffusion rate adjustment parameter;

[0016] S113: According to the pollution diffusion range result, based on the overlap comparison between the monitoring data of the pollutants and the diffusion radius, the key pollution points within the pollution range are screened, and the coverage area is judged to generate the pollution source and range matching result.

[0017] As a further solution of the present invention, the step of acquiring the real-time monitoring data is specifically as follows:

[0018] S211: Based on the pollution source and range matching results, extract points with flow velocity and concentration differences in groundwater flow, select key points that meet the pollutant diffusion characteristics, analyze the propagation path and confluence area of ​​the key points in combination with the water flow angle data, and generate preliminary key monitoring points;

[0019] S212: Based on the preliminary key monitoring points, analyze the spatial correlation of the monitoring points and the impact of pollutant diffusion, and calculate the coverage effect through the flow distribution and coverage range between the monitoring points, using the formula:

[0020]

[0021] The key monitoring point locations for generating water flow distribution characteristics, where E is the coverage effect radius, F is the flow distribution coefficient, S is the monitoring point spacing, L is the flow angle parameter, and C k is the flow direction influence coefficient of the monitoring point, G is the water flow rate adjustment parameter, and H is the concentration diffusion adjustment parameter;

[0022] S213: Based on the locations of key monitoring points of the water flow distribution characteristics, deploy monitoring configurations and continuously monitor the diffusion trend of pollutants in groundwater, regularly collect flow, concentration and diffusion radius information of monitoring points, record the pollutant diffusion path and rate changes, and obtain real-time monitoring data.

[0023] As a further solution of the present invention, the step of obtaining the diffusion rate evaluation result is specifically:

[0024] S221: extracting the change rate of pollutant concentration over time from the differentiated monitoring points based on the real-time monitoring data, weighting and integrating the change parameters of the monitoring points through the concentration change and time interval within the monitoring period, and generating a preliminary trend value of pollutant concentration diffusion in combination with the geographical distribution;

[0025] S222: Call the preliminary trend value of the pollutant concentration diffusion, combine the spatial distribution and flow direction parameters of the monitoring points, and use the formula:

[0026]

[0027] Generate pollutant diffusion rate assessment value, where V is the pollutant diffusion rate assessment value, Ca is the concentration change parameter, R b is the distance adjustment coefficient, T is the monitoring period adjustment coefficient, L d is the monitoring point spacing, M is the monitoring point number adjustment factor, D f is the pollutant diffusion influencing factor;

[0028] S223: Call the pollutant diffusion rate assessment value, perform coverage analysis on the monitoring point positions within the monitoring area, compare the diffusion rate with the diffusion radius of the monitoring point, integrate the diffusion range of the differentiated monitoring points, and generate a diffusion rate assessment result.

[0029] As a further solution of the present invention, the step of obtaining the early warning start record is specifically:

[0030] S311: Based on the diffusion velocity assessment result, determine the warning threshold of the pollution concentration, call the concentration upper limit value in the diffusion velocity result, and calculate the attenuation rate of the concentration with distance in combination with the spacing and flow direction parameters of the monitoring points to generate the pollution concentration warning threshold of the monitoring point;

[0031] S312: According to the pollution concentration warning threshold of the monitoring point, the concentration data of the current monitoring point is analyzed in real time, and the difference between the current concentration value and the warning threshold is calculated using the formula:

[0032]

[0033] Calculate the warning trigger value of the monitoring point and generate a real-time warning status, where W represents the warning trigger value of the monitoring point, C t is the current concentration value, Q is the warning threshold, S is the spacing adjustment factor of the monitoring points, q is the adjustment parameter in the diffusion rate, e is the concentration change rate, and P is the regional impact factor of the monitoring point;

[0034] S313: Based on the real-time warning status, verify the triggered warning signal, record the activated warning signal in the monitoring database, and associate it with the corresponding monitoring area location to generate a warning activation record.

[0035] As a further solution of the present invention, the steps of obtaining the emergency response execution record are specifically as follows:

[0036] S321: extracting pollutant concentration and flow direction change parameters of monitoring points in the pollution risk area according to the early warning initiation record, performing correlation calculation on the concentration and flow direction change of the monitoring points through regional division, selecting sub-areas to be isolated, and sorting out the pollution diffusion situation of the sub-areas to generate a pollution parameter set for the area to be processed;

[0037] S322: Based on the pollution parameter set of the area to be processed, the pollutant diffusion demand of the area is calculated and the priority isolation area is screened, using the formula:

[0038]

[0039] Calculate the emergency response demand level and sort by demand level to generate the graded emergency response demand, where Y represents the emergency response demand level, u represents the pollutant concentration, B represents the flow direction change rate, f is the diffusion rate adjustment coefficient, A is the pollutant isolation priority weight, and h is the time sensitivity factor;

[0040] S323: According to the classified emergency response requirements, the isolation and water quality treatment operations of the corresponding areas are started in sequence, the start time, treatment method, completion time and corresponding area of ​​each operation are recorded, and an emergency response execution record is generated.

[0041] As a further solution of the present invention, the steps for obtaining the optimized groundwater pollution monitoring results are specifically as follows:

[0042] S411: extracting pollution intensity parameters and diffusion radius parameters of pollution sources through monitoring data recorded by the emergency response execution, analyzing the pollution intensity change trend, and establishing a pollution impact parameter set in combination with dynamic comparison of diffusion radius;

[0043] S412: Based on the pollution impact parameter set, analyze the original pollution intensity threshold and diffusion control parameters, screen out pollution impact items that are higher than the standard value, and use the formula:

[0044]

[0045] The pollution severity screening parameter set is obtained, where X represents the pollution severity parameter, Z is the pollution intensity, θ is the diffusion radius, β is the pollution intensity threshold, N is the diffusion control parameter, and η is the control effect optimization factor;

[0046] S413: Filter the parameter set based on the pollution severity, determine the insufficiently covered area through the current monitoring coverage area, add the pollution diffusion control parameters of the missing coverage area to the adjustment range, combine the pollution control adjustment parameter set, and calculate the response priority to generate the optimized groundwater pollution monitoring result.

[0047] A groundwater pollution real-time monitoring system, the groundwater pollution real-time monitoring system is used to execute the above-mentioned groundwater pollution real-time monitoring method, the system comprises:

[0048] The pollution source location module analyzes the groundwater flow direction and original pollution records in the geographic information, extracts the matching area between the geographic coordinates of the pollution source and the hydrological flow direction data, selects the pollution feature area and verifies the feature consistency, performs spatial relationship classification processing, extracts the pollution feature information of the marked location, and constructs the pollution source feature marking results;

[0049] The pollution diffusion path module analyzes the conformity between the diffusion path and the hydrological characteristics based on the pollution source feature marking results, combines the groundwater flow direction and the pollution source distribution characteristics, determines the diffusion path nodes, extracts the coordinate information of the diffusion impact range, marks the potential impact area, and generates the pollution diffusion range;

[0050] The pollution area monitoring module selects key nodes and sets monitoring frequencies based on the pollution diffusion range, optimizes the monitoring point layout, adjusts the sampling interval, captures real-time pollutant concentration and diffusion path migration information, summarizes monitoring point records, and obtains diffusion migration data;

[0051] The diffusion rate assessment module calculates the diffusion rate of pollutants and extracts the concentration change trend based on the diffusion migration data, determines the concentration change range, divides the pollution diffusion risk area, extracts the change value of the pollution concentration area and the diffusion rate, makes a risk area judgment, and generates diffusion risk parameters;

[0052] The pollution threshold warning module detects the concentration and diffusion speed values ​​based on the diffusion risk parameters, identifies the risk points and classifies them by level, triggers warning signals for the risk points and sets notification parameters, marks the associated areas, and generates pollution warning signs;

[0053] Based on the pollution warning signs, the emergency response optimization module defines isolation and treatment measures for the contaminated areas, sets purification operation execution parameters, monitors operation effects, integrates monitoring data, compares change information in the warning marked areas, updates control parameters, optimizes the overall monitoring parameter configuration, and obtains optimized groundwater pollution monitoring results.

[0054] Compared with the prior art, the advantages and positive effects of the present invention are:

[0055] In the present invention, by analyzing the groundwater flow direction and the original pollution record, combined with the geological and hydrological characteristics of the monitoring area, the location and scope of the pollution source are accurately marked and matched, the identification accuracy of the pollution source and the evaluation ability of the pollution range are greatly improved, the monitoring data is ensured to be more targeted and reliable, the key positions in the groundwater flow direction are selected to deploy monitoring points, and the pollution diffusion information is extracted in real time, so that the monitoring data is more real-time and has diffusion characteristics. By evaluating the diffusion speed of pollutants and the affected area, the concentration warning threshold is dynamically generated, so that the pollution changes can be quickly captured. When the monitoring data triggers the warning threshold, the warning information is timely issued and the emergency response is initiated, and accurate warnings are provided for the affected areas. Isolation and water quality treatment measures can be quickly taken for the pollution risk area, and the pollution control and environmental protection efficiency can be significantly improved. By monitoring the execution data of the emergency response, the warning coverage effect and the control of the pollution area are analyzed, and the monitoring parameters are adjusted accordingly, so that the method can respond to the changes in the pollution situation more flexibly, and the closed-loop tuning of the monitoring parameters is continuously optimized, ensuring that the groundwater monitoring system can dynamically adapt to environmental changes and pollution diffusion characteristics in long-term operation, and finally achieve comprehensive and effective control of groundwater pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0057] Figure 2 It is a flow chart of the pollution source and range matching results in the present invention;

[0058] Figure 3 It is a flow chart of real-time monitoring data in the present invention;

[0059] Figure 4 A flow chart showing the diffusion rate evaluation results in the present invention;

[0060] Figure 5 It is a flow chart of the early warning start record in the present invention;

[0061] Figure 6 A flowchart of the emergency response execution record in the present invention;

[0062] Figure 7 It is a flow chart of the groundwater pollution monitoring results after optimization in the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0064] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0065] Embodiment 1

[0066] See also Figure 1 The present invention provides a technical solution: a method for real-time monitoring of groundwater pollution, comprising the following steps:

[0067] S1: By analyzing the groundwater flow direction and original pollution records in the geographic information, combined with the geological structure and hydrological characteristics of the monitoring area, and through the water flow propagation characteristics, the pollution source location is marked and the pollution range is matched to generate the pollution source and range matching results;

[0068] S2: Based on the matching results of pollution sources and ranges, select key points in the groundwater flow direction, deploy monitoring points, continuously extract real-time diffusion information of pollutants in groundwater, generate real-time monitoring data, and evaluate the diffusion speed of pollutant concentration and the scope of the affected area based on the real-time monitoring data to generate diffusion speed evaluation results;

[0069] S3: Based on the diffusion rate assessment results, set the warning threshold of the pollution concentration. When the monitoring data triggers the threshold, the warning is activated, and a warning is issued to the affected area. A warning start record is generated. According to the warning start record, emergency measures are initiated in the pollution risk area to isolate pollutants and treat water quality, and an emergency response execution record is generated;

[0070] S4: Through the monitoring data of emergency response execution records, analyze the response coverage effect of the early warning and the control results of the polluted area, adjust the early warning threshold and emergency measures, update the groundwater pollution monitoring parameters, conduct closed-loop management of the entire groundwater pollution monitoring, and generate optimized groundwater pollution monitoring results.

[0071] The pollution source and scope matching results include the precise coordinates of the pollution source and the boundaries of the polluted area. The real-time monitoring data include the identification of pollutant types, pollutant concentration values, and pollutant diffusion patterns. The diffusion rate assessment results include the concentration growth rate and the diffusion distance of the pollution front. The early warning activation record includes the early warning initiation time, early warning location, and early warning level. The emergency response execution record includes the isolation completion time, treatment measure type, and treatment effect evaluation. The optimized groundwater pollution monitoring results include the adjusted monitoring frequency, newly established monitoring points, and optimized emergency procedures.

[0072] See also Figure 2 , the specific steps for obtaining the pollution source and range matching results are:

[0073] S111: By analyzing the groundwater flow direction and original pollution records in the geographic information, extracting the combination of geological characteristic parameters, analyzing the water flow direction and geological characteristics, determining the migration direction and propagation path of pollutants in the geological interval, and generating the pollution source location range of the geological characteristics;

[0074] By analyzing the groundwater flow direction and original pollution records in the geographic information, the combination of geological characteristic parameters is extracted. First, the specific geological attribute information of each interval is extracted according to the parameters of the geological structure, and the geological characteristic data that have an important impact on the propagation of water flow, including rock density, water content, soil permeability, etc., are selected. Then, according to the combination of groundwater flow direction and geological structure characteristics, the data of different geological intervals are integrated and analyzed to form a groundwater flow direction matrix and a geological influence factor matrix. They are compared item by item, and the overlap between the geological structure and the water flow direction of each interval is calculated. The intervals that match the water flow direction are selected to form a preliminary pollution migration path. The migration direction and propagation path of pollutants are obtained by gradually accumulating the flow direction analysis results of each interval, and finally the pollution source location range of the geological characteristics is generated.

[0075] S112: Based on the location range of the pollution source of geological characteristics, analyze the ratio of water flow rate to pollutant diffusion rate, calculate the diffusion radius, and use the formula:

[0076]

[0077] Generate pollution diffusion range results, where R is the diffusion radius, V s is the water flow rate, D is the water flow direction, K i is the diffusion coefficient of pollutants in the ith geological partition, C d is the diffusion concentration, α is the pollutant diffusion rate adjustment parameter;

[0078] The benefit of the formula is that by introducing the parameter α as an adjustment factor for the diffusion rate, the influence coefficient K combined with the geological characteristics iThe combination can accurately reflect the relationship between water flow rate and pollutant diffusion rate, thereby improving the accuracy of prediction of pollution diffusion range;

[0079] Set the water flow rate V s = 2.5 m / s, diffusion rate adjustment factor α = 1.2, flow direction adjustment value D = 0.8, diffusion coefficient K for each geological partition i is 0.3, 0.5, 0.4, 0.6, diffusion concentration C d =1.1, and the specific calculation process of the diffusion radius R is as follows:

[0080] Compute the sum of the diffusion coefficients for the geological partitions:

[0081]

[0082] Substituting the diffusion coefficient and concentration into the square root calculation:

[0083]

[0084] Calculate the product of the flow rate and the diffusion adjustment factor, divide by the flow direction and square root the result:

[0085]

[0086] The results show that the diffusion radius of the pollution source under the current geological structure and water flow conditions is about 2.21 meters. This result is a quantitative indicator of the pollution diffusion range.

[0087] S113: According to the pollution diffusion range result, based on the overlap between the pollutant monitoring data and the diffusion radius, the key pollution points within the pollution range are screened, and the coverage area is judged to generate the pollution source and range matching result;

[0088] Call the pollution diffusion range results, compare the overlap between the pollutant monitoring data and the diffusion radius, analyze the spatial coverage of the pollutant concentration and the diffusion radius item by item in the monitoring records, first select the points with pollution concentration higher than the background value from the monitoring points, compare them with the monitoring points within the pollution diffusion radius, mark the high-concentration points in the overlap area, and then calculate the concentration ratio of the pollution range in combination with the influence range of the diffusion radius to generate the pollution source and range matching result.

[0089] See also Figure 3 ,The specific steps for obtaining real-time monitoring data are:

[0090] S211: Based on the matching results of pollution sources and ranges, extract points with different flow velocities and concentrations in groundwater flow, select key points that meet the characteristics of pollutant diffusion, analyze the propagation paths and confluence areas of key points in combination with water flow angle data, and generate preliminary key monitoring points;

[0091] Based on the results of matching the pollution source and range, points with obvious differences in flow velocity and pollution concentration in the groundwater flow direction are selected as key points. By calling the water flow velocity monitoring record data, the main water flow paths that meet the pollution diffusion trend are screened, and the water flow velocity and flow direction information of each point are extracted to determine the diffusion direction of the pollutants at the location. Combined with the groundwater flow direction data, the areas with intersection and diversion characteristics in the water flow path are marked as potential diffusion key points, and the flow velocity differences of each point are calculated to determine their relative importance in the pollution diffusion. The selected key points are further analyzed, and combined with the geological structure data, the parameters such as the formation permeability and water content of each area are analyzed to determine the retention and permeability characteristics of pollutants, so as to screen areas with higher pollution diffusion.

[0092] S212: Based on the preliminary key monitoring points, analyze the spatial correlation of the monitoring points and the impact of pollutant diffusion, and calculate the coverage effect through the flow distribution and coverage range between the monitoring points. The formula is:

[0093]

[0094] The key monitoring point locations for generating water flow distribution characteristics, where E is the coverage effect radius, F is the flow distribution coefficient, S is the monitoring point spacing, L is the flow angle parameter, and C k is the flow direction influence coefficient of the monitoring point, G is the water flow rate adjustment parameter, and H is the concentration diffusion adjustment parameter;

[0095] The benefit of the formula is that by introducing parameters such as flow distribution coefficient, monitoring point spacing and flow angle, the relative importance of monitoring point spacing and flow direction can be fully considered, making the calculation of coverage effect more precise;

[0096] Set the flow distribution coefficient F = 1.5, the monitoring point spacing S = 20 meters, the flow angle parameter L = 0.8, and the monitoring point flow influence coefficient C k The specific calculation process of calculating the coverage effect radius E is as follows:

[0097] Calculate the sum of the flow direction influence coefficients of the monitoring points:

[0098]

[0099] Calculate the sum of the flow direction influence coefficient and the concentration diffusion adjustment parameter and take the square root:

[0100]

[0101] Substitute all parameters into the formula to calculate the coverage effect radius E:

[0102]

[0103] The results show that the coverage effect radius is about 22.86 meters, which means that the monitoring point can cover the pollution diffusion within this radius, thereby generating the key monitoring point location that conforms to the water flow distribution characteristics.

[0104] S213: Deploy monitoring configurations based on the locations of key monitoring points with water flow distribution characteristics and continuously monitor the diffusion trend of pollutants in groundwater, regularly collect information on flow, concentration and diffusion radius at monitoring points, record changes in pollutant diffusion paths and rates, and obtain real-time monitoring data;

[0105] Call the location of key monitoring points and deploy groundwater monitoring devices at the corresponding locations. The monitoring devices continuously monitor the diffusion trend of pollutants in groundwater. The pollutant concentration, flow rate, flow direction and other data regularly collected by the monitoring devices are used to record the speed and direction of pollution diffusion in the water in real time, and the flow changes in the monitoring points are compared with the pollution concentration. This data record needs to be maintained at a certain time interval to ensure the consistency of the monitoring cycle. After each monitoring cycle, the data of each monitoring point is summarized and analyzed to form a series of raw data record streams, which are used to analyze the overall trend of pollution diffusion and obtain real-time monitoring data.

[0106] See also Figure 4 , the specific steps for obtaining the diffusion velocity evaluation results are:

[0107] S221: Based on the real-time monitoring data, the change rate of pollutant concentration over time is extracted from the differentiated monitoring points. The change parameters of the monitoring points are weighted and integrated through the concentration change and time interval within the monitoring period. Combined with the geographical distribution, the preliminary trend value of pollutant concentration diffusion is generated;

[0108] Based on the real-time monitoring data, the changes in pollutant concentration at each monitoring point in different monitoring periods are extracted, and the corresponding change rate is calculated through the change amplitude of the concentration value recorded in each monitoring period. The concentration change parameter is obtained by the ratio of the concentration change to the corresponding monitoring time interval. The data is called to compare each monitoring point to generate a set of concentration change rate data. This set of data is weighted, and the weight factor is set based on the spatial position of the monitoring point and its importance in the monitoring area, so that points far away from the pollution source are given a smaller weight, while points close to the pollution source or the core diffusion area are given a larger weight, thereby generating preliminary trend parameters for the diffusion of pollutant concentrations.

[0109] S222: Call the preliminary trend value of pollutant concentration diffusion, combine the spatial distribution of monitoring points and flow direction parameters, and use the formula:

[0110]

[0111] Generate pollutant diffusion rate assessment value, where V is the pollutant diffusion rate assessment value, C a is the concentration change parameter, R b is the distance adjustment coefficient, T is the monitoring period adjustment coefficient, L d is the monitoring point spacing, M is the monitoring point number adjustment factor, D f is the pollutant diffusion influencing factor;

[0112] The benefit of the formula is that, by introducing multiple parameters for weighted combination, it not only takes into account the concentration variation parameters and spatial distribution characteristics, but also incorporates the influence of the monitoring period and the distribution of monitoring points, thereby achieving a more comprehensive estimation of the diffusion rate;

[0113] Set the concentration change parameter C a =1.2, distance adjustment coefficient R b =2.5, monitoring cycle adjustment coefficient T = 1.0, monitoring point spacing L d =15, the number of monitoring points adjustment factor M = 3.0, the pollutant diffusion impact factor D f =2.0, the specific calculation process of substituting it into the formula to calculate the diffusion velocity V is as follows:

[0114] Calculate the product of the concentration change parameter and the distance adjustment factor:

[0115] C a ·R b =1.2×2.5=3.0

[0116] Calculate the product of the monitoring cycle adjustment coefficient and the monitoring point spacing:

[0117] T.L d =1.0×15=15

[0118] Calculate the product of the monitoring point number adjustment factor and the diffusion impact factor:

[0119] M.D f =3.0×2.0=6.0

[0120] Substituting the above results into the formula to find the square root:

[0121]

[0122] The results show that the diffusion velocity assessment value is about 4.9, which represents the average diffusion rate of pollutants in the monitoring area, thus forming a quantitative assessment of the current pollutant diffusion situation.

[0123] S223: calling the pollutant diffusion velocity assessment value, performing coverage analysis on the monitoring point locations within the monitoring area, comparing the diffusion velocity with the diffusion radius of the monitoring point, integrating the diffusion range of the differentiated monitoring points, and generating a diffusion velocity assessment result;

[0124] Call the pollutant diffusion rate assessment value, associate it with the geographical location data of each monitoring point in the monitoring area, analyze the coverage relationship between each monitoring point and the surrounding area, and generate the coverage analysis results in the area by comparing the spatial coverage and diffusion rate of the monitoring points. According to the degree of overlap between the coverage of each monitoring point and the diffusion impact area, further integrate the pollutant diffusion situation in the monitoring area to finally form a diffusion rate assessment result.

[0125] See also Figure 5 , the specific steps for obtaining the early warning start record are:

[0126] S311: Based on the diffusion velocity assessment result, determine the warning threshold of the pollution concentration, call the concentration upper limit value in the diffusion velocity result, and calculate the attenuation rate of the concentration with distance in combination with the spacing and flow direction parameters of the monitoring points to generate the pollution concentration warning threshold of the monitoring point;

[0127] Based on the diffusion rate assessment results, the upper limit of pollution concentration at each monitoring point in the monitoring area is extracted, the distance and flow direction related parameters between the monitoring points are calculated, and the concentration attenuation rate model is established using the parameters. The diffusion rate is linked to the spacing and concentration change trend of each monitoring point. A concentration threshold is set at each monitoring point. According to the relative position of the monitoring point, historical monitoring concentration data, the impact of distance change on the concentration, and further combined with the main diffusion direction in the area, the pollution concentration warning threshold of each monitoring point is calculated and generated. The concentration data of the current monitoring point is compared in real time, and its deviation from the warning threshold is dynamically monitored. Through continuous data collection and comparison, the warning threshold of each monitoring point is adjusted in time to reflect the latest diffusion rate assessment results. This process not only ensures the effectiveness of the concentration threshold of the monitoring point, but also enables the warning configuration to respond quickly to sudden concentration changes.

[0128] S312: According to the pollution concentration warning threshold of the monitoring point, the concentration data of the current monitoring point is analyzed in real time, and the difference between the current concentration value and the warning threshold is calculated using the formula:

[0129]

[0130] Calculate the warning trigger value of the monitoring point and generate a real-time warning status, where W represents the warning trigger value of the monitoring point, C t is the current concentration value, Q is the warning threshold, S is the spacing adjustment factor of the monitoring points, q is the adjustment parameter in the diffusion rate, e is the concentration change rate, and P is the regional impact factor of the monitoring point;

[0131] The benefit of the formula is that it combines the difference between the concentration value of the current monitoring point and the set warning threshold with the spacing adjustment factor of the monitoring point, the change in diffusion speed, and the concentration change rate, making the warning trigger condition flexible and able to respond more accurately according to the diffusion speed of different areas and the physical spacing between monitoring points, thereby effectively improving the real-time monitoring and dynamic response capabilities between the monitoring points;

[0132] Set the concentration value C of the current monitoring point t =8.5, warning threshold Q = 6.0, monitoring point spacing adjustment factor S = 1.2, diffusion speed adjustment parameter q = 1.8, concentration change rate e = 0.9, regional impact factor P = 2.5, the specific calculation process is as follows:

[0133] Calculate the difference between the current concentration value and the warning threshold and take the absolute value:

[0134] |C t -Q|=|8.5-6.0|=2.5

[0135] Calculate the difference multiplied by the spacing adjustment factor and take the square root:

[0136]

[0137] Calculate the product of the diffusion rate adjustment parameter and the concentration change rate:

[0138] q·e=1.8·0.9=1.62

[0139] Sum the above results:

[0140] W=1.73+1.62+2.5=5.85

[0141] The result shows that the warning trigger value W≈5.85. Once the warning trigger value of the monitoring point reaches or exceeds 5.85, it is considered to meet the conditions for starting the warning mechanism and record the current monitoring status to ensure that the monitored warning response meets the set conditions, thereby generating a real-time warning trigger record.

[0142] S313: Based on the real-time warning status, verify the triggered warning signal, record the activated warning signal in the monitoring database, associate it with the corresponding monitoring area location, and generate a warning activation record;

[0143] Call the real-time warning status, record the triggered warning signal in the monitoring system database, and associate it with the geographic location data in the monitoring area. Through the recording of this data, accurate warning response analysis can be performed on each monitoring point. When recording key parameters such as the warning activation time, warning duration, and concentration level at the time of triggering for each monitoring point, it can manage the warning data more comprehensively and update the relevant information of the monitoring database in real time. It is bound to the specific regional location and time information, which is convenient for confirming the regional characteristics of pollutant diffusion and the potential impact range of pollution sources in subsequent analysis. The final generated warning activation record provides reliable data support for further formulating response measures, optimizing pollution management strategies, and evaluating regional pollution trends.

[0144] See also Figure 6 , the specific steps for obtaining emergency response execution records are:

[0145] S321: Extract the pollutant concentration and flow direction change parameters of the monitoring points in the pollution risk area according to the early warning start record, perform correlation calculation on the concentration and flow direction change of the monitoring points through regional division, select the sub-area to be isolated, sort out the pollution diffusion situation of the sub-area, and generate the pollution parameter set of the area to be processed;

[0146] According to the early warning activation records, it is first necessary to identify the actual location and distribution of all monitoring points in the pollution risk area, ensure that the pollutant concentration data of each monitoring point is the latest, and collect the corresponding pollutant diffusion direction and speed parameters. By performing segmented analysis on the pollution risk area, parameters such as pollutant concentration, flow direction change and diffusion rate are aggregated into a pollution parameter set. Then, the data of each monitoring point are grouped according to the correlation, and the concentration change trend and diffusion rate of each group are calculated to obtain a partitioned pollution parameter set that can be effectively controlled. Then, by analyzing the diffusion parameters of each group, the priority isolation area is determined to form a pollution parameter set for the area to be treated.

[0147] S322: Based on the pollution parameter set of the area to be treated, the pollutant diffusion demand of the area is calculated and the priority isolation area is screened, using the formula:

[0148]

[0149] Calculate the emergency response demand level and sort by demand level to generate the graded emergency response demand, where Y represents the emergency response demand level, u represents the pollutant concentration, B represents the flow direction change rate, f is the diffusion rate adjustment coefficient, A is the pollutant isolation priority weight, and h is the time sensitivity factor;

[0150] The benefit of the formula is that by introducing concentration, flow direction change rate, diffusion rate and time sensitivity factor, the diffusion characteristics of pollutants and emergency response requirements can be comprehensively considered, thus providing a reasonable response level ranking;

[0151] First, the pollutant concentration is set to u = 50 (this value is for monitoring data collection), the flow direction change rate is B = 1.2, the diffusion rate adjustment coefficient is f = 0.8, the pollutant isolation priority weight is A = 2.5, and the time sensitivity factor is h = 10. Substituting into the formula, we get:

[0152]

[0153]

[0154] Y=7.75+2+10

[0155] Y=19.75

[0156] The results show that the calculated emergency response demand level is 19.75, which is used for the subsequent prioritization of regional isolation and water quality treatment.

[0157] S323: According to the classified emergency response requirements, the isolation and water quality treatment operations of the corresponding areas are started in sequence, the start time, treatment method, completion time and corresponding area of ​​each operation are recorded, and the emergency response execution record is generated;

[0158] Call the graded emergency response needs, and start the isolation measures of the corresponding areas in sequence from high to low according to the response demand level, isolate and block the main path areas of pollutant diffusion, set up isolation barriers and start the water purification process, and further perform water quality treatment in combination with the pollution parameter characteristics of each area. Record the start time of each operation, the specific treatment method implemented, the treatment completion time, and the area scope involved in the operation in real time, integrate all data items in the operation process in chronological order, and generate an emergency response execution record.

[0159] See also Figure 7 , the specific steps for obtaining the optimized groundwater pollution monitoring results are as follows:

[0160] S411: Extract the pollution intensity parameters and diffusion radius parameters of the pollution source through the monitoring data recorded by the emergency response execution, analyze the trend of pollution intensity changes, and establish the pollution impact parameter set in combination with the dynamic comparison of the diffusion radius;

[0161] Based on the real-time monitoring data of groundwater pollution areas, the pollution intensity parameters and diffusion radius parameters of the pollution sources are extracted, and the acquired monitoring data are segmented. The pollution diffusion intensity of each pollution source is summarized in a quantitative form, and the pollution diffusion radius is further divided into detailed segments according to the monitoring time point. The change amplitude of each segment of data is dynamically analyzed, and then the values ​​of pollution intensity and diffusion radius in different segments are integrated. Combined with the diffusion radius and the intensity of each pollution source, the monitoring data is associated with the pollution trend of the current area through the set relationship. Finally, the pollution impact parameter set is established after the comparison and set operation of multi-segment data.

[0162] S412: Based on the pollution impact parameter set, analyze the original pollution intensity threshold and diffusion control parameters, screen out pollution impact items that are higher than the standard value, and use the formula:

[0163]

[0164] The pollution severity screening parameter set is obtained, where X represents the pollution severity parameter, Z is the pollution intensity, θ is the diffusion radius, β is the pollution intensity threshold, N is the diffusion control parameter, and η is the control effect optimization factor;

[0165] The benefit of the formula is that by introducing multiple pollution influencing parameters such as pollution intensity and diffusion radius, and setting the weight adjustment factor η to optimize the control effect, it can identify and screen seriously polluted areas and improve the accuracy of monitoring response;

[0166] Set the pollution intensity parameter Z of the monitored pollution source to 150, the diffusion radius θ to 10, the pollution intensity threshold β to 50, the diffusion control parameter N to 30, and set the control effect optimization factor η to 1.2;

[0167] Calculate Z 2 The value of Z 2 =150 2 =22500;

[0168] calculate Right now

[0169] Z 2 and Substituting the value into the numerator, we get 22500+0.008=22500.008;

[0170] Calculate the ratio of the numerator to the denominator, that is

[0171] Multiply by the control effect optimization factor η, that is

[0172] The result shows that the parameter X is 26.832, which reflects the area value with the greatest current pollution impact. This value is used to identify the priority control area and provide a basis for the next pollution control scope.

[0173] S413: Filter parameter sets based on pollution severity, determine insufficiently covered areas through current monitoring coverage areas, add pollution diffusion control parameters of missing coverage areas to the adjustment range, combine pollution control adjustment parameter sets, and calculate response priorities to generate optimized groundwater pollution monitoring results;

[0174] Based on the comparison results of the pollution control range, the actual location of the current monitoring coverage area is compared with the pollution control parameter value in detail, and the area with a large pollution impact is marked as insufficient coverage area and used as a reference item for the adjustment range. By calling the parameter details in the pollution control adjustment parameter set, the parameter values ​​of the insufficient area are substituted into the calculation and comparison, and the adjusted response priority is screened out. After determining the adjustment plan, the updated control parameter set is re-imported into the monitoring configuration, and according to the specific location mark required for regional diffusion control, the final optimization of groundwater pollution monitoring is completed, and the optimized groundwater pollution monitoring results are generated.

[0175] The groundwater pollution real-time monitoring system is used to implement the above-mentioned groundwater pollution real-time monitoring method, and the system includes:

[0176] The pollution source location module analyzes the groundwater flow direction and original pollution records in the geographic information, extracts the matching area between the geographic coordinates of the pollution source and the hydrological flow direction data, selects the pollution feature area and verifies the feature consistency, performs spatial relationship classification processing, extracts the pollution feature information of the marked location, and constructs the pollution source feature marking results;

[0177] The pollution diffusion path module is based on the pollution source feature marking results, combined with the groundwater flow direction and pollution source distribution characteristics, analyzes the conformity of the diffusion path with the hydrological characteristics, determines the diffusion path nodes, extracts the coordinate information of the diffusion impact range, marks the potential impact area, and generates the pollution diffusion range;

[0178] The pollution area monitoring module selects key nodes and sets monitoring frequencies based on the pollution diffusion range, optimizes the monitoring point layout, adjusts the sampling interval, captures real-time pollutant concentration and diffusion path migration information, summarizes monitoring point records, and obtains diffusion migration data;

[0179] The diffusion rate assessment module calculates the diffusion rate of pollutants based on diffusion migration data, extracts concentration change trends, determines the concentration change range, divides pollution diffusion risk areas, extracts the change values ​​of pollution concentration areas and diffusion rates, makes risk area judgments, and generates diffusion risk parameters;

[0180] The pollution threshold warning module detects concentration and diffusion rate values ​​based on diffusion risk parameters, identifies risk points and classifies them by level, triggers warning signals for risk points and sets notification parameters, marks associated areas, and generates pollution warning signs;

[0181] Based on the pollution warning signs, the emergency response optimization module defines isolation and treatment measures for the contaminated areas, sets purification operation execution parameters, monitors the operation effects, integrates monitoring data, compares the change information of the warning marked areas, updates control parameters, optimizes the overall monitoring parameter configuration, and obtains the optimized groundwater pollution monitoring results.

[0182] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for real-time monitoring of groundwater pollution, characterized in that: The following steps are involved: By analyzing the groundwater flow direction and original pollution records in geographic information, combined with the geological structure and hydrological characteristics of the monitored area, and through the water flow propagation characteristics, the pollution source location is marked and the pollution range is matched to generate the pollution source and range matching results; Based on the pollution source and range matching results, key points in the groundwater flow direction are selected to deploy monitoring points, and real-time diffusion information of pollutants in groundwater is continuously extracted to generate real-time monitoring data. Based on the real-time monitoring data, the diffusion speed of pollutant concentration and the scope of the affected area are evaluated to generate diffusion speed evaluation results; Based on the diffusion rate assessment result, an early warning threshold of the pollution concentration is set. When the monitoring data triggers the threshold, the early warning is activated, an early warning is issued to the affected area, and an early warning initiation record is generated. According to the early warning initiation record, emergency measures are initiated in the area with pollution risk, pollutant isolation and water quality treatment are carried out, and an emergency response execution record is generated; Through the monitoring data of the emergency response execution record, the response coverage effect of the early warning and the control results of the polluted area are analyzed, the early warning threshold and emergency measures are adjusted, the groundwater pollution monitoring parameters are updated, the entire groundwater pollution monitoring is closed-loop managed, and the optimized groundwater pollution monitoring results are generated.

2. The method for real-time monitoring of groundwater pollution according to claim 1, characterized in that: The steps for obtaining the pollution source and range matching result are specifically as follows: By analyzing the groundwater flow direction and original pollution records in geographic information, extracting the combination of geological characteristic parameters, analyzing the water flow direction and geological characteristics, determining the migration direction and propagation path of pollutants in the geological interval, and generating the pollution source location range of geological characteristics; Based on the location range of the pollution source of the geological characteristics, the ratio of water flow rate to pollutant diffusion rate is analyzed, and the diffusion radius is calculated using the formula: Generate pollution diffusion range results, where R is the diffusion radius, V s is the water flow rate, D is the water flow direction, K i is the diffusion coefficient of pollutants in the ith geological partition, C d is the diffusion concentration, α is the pollutant diffusion rate adjustment parameter; According to the pollution diffusion range results, based on the overlap comparison between the pollutant monitoring data and the diffusion radius, the key pollution points within the pollution range are screened, and the coverage area is judged to generate the pollution source and range matching results.

3. The method for real-time monitoring of groundwater pollution according to claim 2, characterized in that: The steps for obtaining the real-time monitoring data are specifically as follows: Based on the pollution source and range matching results, extract points with flow velocity and concentration differences in groundwater flow, select key points that meet the pollutant diffusion characteristics, analyze the propagation path and confluence area of ​​key points in combination with water flow angle data, and generate preliminary key monitoring points; According to the preliminary key monitoring points, the spatial correlation of the monitoring points and the impact of pollutant diffusion are analyzed, and the coverage effect is calculated through the flow distribution and coverage range between the monitoring points. The formula is: The key monitoring point locations for generating water flow distribution characteristics, where E is the coverage effect radius, F is the flow distribution coefficient, S is the monitoring point spacing, L is the flow angle parameter, and C k is the flow direction influence coefficient of the monitoring point, G is the water flow rate adjustment parameter, and H is the concentration diffusion adjustment parameter; According to the locations of key monitoring points of the water flow distribution characteristics, monitoring configurations are deployed and the diffusion trend of pollutants in groundwater is continuously monitored. The flow, concentration and diffusion radius information of the monitoring points are regularly collected, the pollutant diffusion path and rate changes are recorded, and real-time monitoring data is obtained.

4. The method for real-time monitoring of groundwater pollution according to claim 3, characterized in that: The steps for obtaining the diffusion rate evaluation result are specifically as follows: Extract the change rate of pollutant concentration over time from the differentiated monitoring points based on the real-time monitoring data, perform weighted integration on the change parameters of the monitoring points through the concentration change and time interval within the monitoring period, and generate a preliminary trend value of pollutant concentration diffusion in combination with the geographical distribution; The preliminary trend value of the pollutant concentration diffusion is called, combined with the spatial distribution and flow direction parameters of the monitoring points, and the formula is adopted: Generate pollutant diffusion rate assessment value, where V is the pollutant diffusion rate assessment value, C a is the concentration change parameter, R b is the distance adjustment coefficient, T is the monitoring period adjustment coefficient, L d is the monitoring point spacing, M is the monitoring point number adjustment factor, D f is the pollutant diffusion influencing factor; The pollutant diffusion rate assessment value is called, and the monitoring point positions within the monitoring area are covered and analyzed. The diffusion rate is compared with the diffusion radius of the monitoring point, and the diffusion range of the differentiated monitoring points is integrated to generate a diffusion rate assessment result.

5. The method for real-time monitoring of groundwater pollution according to claim 4, characterized in that: The steps for obtaining the early warning start record are specifically as follows: Based on the diffusion velocity assessment result, determine the warning threshold of the pollution concentration, call the concentration upper limit value in the diffusion velocity result, and calculate the attenuation rate of the concentration with distance in combination with the spacing and flow direction parameters of the monitoring points to generate the pollution concentration warning threshold of the monitoring point; According to the pollution concentration warning threshold of the monitoring point, the concentration data of the current monitoring point is analyzed in real time, and the difference between the current concentration value and the warning threshold is calculated using the formula: Calculate the warning trigger value of the monitoring point and generate a real-time warning status, where W represents the warning trigger value of the monitoring point, C t is the current concentration value, Q is the warning threshold, S is the spacing adjustment factor of the monitoring points, q is the adjustment parameter in the diffusion rate, e is the concentration change rate, and P is the regional impact factor of the monitoring point; Based on the real-time warning status, the triggered warning signal is verified, the activated warning signal is recorded in the monitoring database, and associated with the corresponding monitoring area position, and a warning activation record is generated.

6. The method for real-time monitoring of groundwater pollution according to claim 5, characterized in that: The steps for obtaining the emergency response execution record are specifically as follows: According to the early warning initiation record, the pollutant concentration and flow direction change parameters of the monitoring points in the pollution risk area are extracted, the concentration and flow direction change of the monitoring points are correlated and calculated through regional division, the sub-areas to be isolated are selected, and the pollution diffusion situation of the sub-areas is sorted out to generate a pollution parameter set for the area to be processed; Based on the pollution parameter set of the area to be treated, the pollutant diffusion demand of the area is calculated and the priority isolation area is screened, using the formula: Calculate the emergency response demand level and sort by demand level to generate the graded emergency response demand, where Y represents the emergency response demand level, u represents the pollutant concentration, B represents the flow direction change rate, f is the diffusion rate adjustment coefficient, A is the pollutant isolation priority weight, and h is the time sensitivity factor; According to the classified emergency response requirements, the isolation and water quality treatment operations of the corresponding areas are started in sequence, and the start time, treatment method, completion time and corresponding area of ​​each operation are recorded to generate an emergency response execution record.

7. The method for real-time monitoring of groundwater pollution according to claim 6, characterized in that: The steps for obtaining the optimized groundwater pollution monitoring results are specifically as follows: Extract the pollution intensity parameters and diffusion radius parameters of the pollution source through the monitoring data of the emergency response execution record, analyze the pollution intensity change trend, and establish a pollution impact parameter set in combination with the dynamic comparison of the diffusion radius; Based on the pollution impact parameter set, the original pollution intensity threshold and diffusion control parameters are analyzed, and pollution impact items higher than the standard value are screened, using the formula: The pollution severity screening parameter set is obtained, where X represents the pollution severity parameter, Z is the pollution intensity, θ is the diffusion radius, β is the pollution intensity threshold, N is the diffusion control parameter, and η is the control effect optimization factor; Based on the pollution severity screening parameter set, the area with insufficient coverage is determined through the current monitoring coverage area, and the pollution diffusion control parameters of the missing coverage area are added to the adjustment range. The pollution control adjustment parameter set is combined, and the response priority is calculated to generate the optimized groundwater pollution monitoring results.

8. Real-time monitoring system for groundwater pollution, characterized in that: According to the method for real-time monitoring of groundwater pollution according to any one of claims 1 to 7, the system comprises: The pollution source location module analyzes the groundwater flow direction and original pollution records in the geographic information, extracts the matching area between the geographic coordinates of the pollution source and the hydrological flow direction data, selects the pollution feature area and verifies the feature consistency, performs spatial relationship classification processing, extracts the pollution feature information of the marked location, and constructs the pollution source feature marking results; The pollution diffusion path module analyzes the conformity between the diffusion path and the hydrological characteristics based on the pollution source feature marking results, combines the groundwater flow direction and the pollution source distribution characteristics, determines the diffusion path nodes, extracts the coordinate information of the diffusion impact range, marks the potential impact area, and generates the pollution diffusion range; The pollution area monitoring module selects key nodes and sets monitoring frequencies based on the pollution diffusion range, optimizes the monitoring point layout, adjusts the sampling interval, captures real-time pollutant concentration and diffusion path migration information, summarizes monitoring point records, and obtains diffusion migration data; The diffusion rate assessment module calculates the diffusion rate of pollutants and extracts the concentration change trend based on the diffusion migration data, determines the concentration change range, divides the pollution diffusion risk area, extracts the change value of the pollution concentration area and the diffusion rate, makes a risk area judgment, and generates diffusion risk parameters; The pollution threshold warning module detects the concentration and diffusion speed values ​​based on the diffusion risk parameters, identifies the risk points and classifies them by level, triggers warning signals for the risk points and sets notification parameters, marks the associated areas, and generates pollution warning signs; Based on the pollution warning signs, the emergency response optimization module defines isolation and treatment measures for the contaminated areas, sets purification operation execution parameters, monitors operation effects, integrates monitoring data, compares change information in the warning marked areas, updates control parameters, optimizes the overall monitoring parameter configuration, and obtains optimized groundwater pollution monitoring results.

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