Underground water pollution traceability system based on multi-dimensional data analysis

Abstract

The invention relates to the technical field of groundwater pollution traceability, in particular to a groundwater pollution traceability system based on multi-dimensional data analysis, which comprises an acquisition module, a processing module, an evaluation module and a verification module, and is characterized in that the acquisition module is used for acquiring park hydrogeological information parameters, groundwater upstream enterprise information parameters and benzene series content in each production link; processing the collected data parameters through a processing module, and analyzing a pollution characteristic characterization value; the evaluation module is used for evaluating whether the discharge pollution characteristic value of the wastewater discharged by each enterprise meets the standard or not; and verifying and comparing the similarity of the pollution characteristics of the underground water sample and the similarity of the pollution characteristic value of the wastewater of the target pollution source enterprise through a verification module, and judging whether the target pollution source enterprise is a main pollution source or not. According to the invention, the main pollution source is judged through a cross validation method, and the traceability reliability and accuracy are improved.

Description

Technical Field

[0001] This invention relates to the field of groundwater pollution source tracing technology, and in particular to a groundwater pollution source tracing system based on multi-dimensional data analysis. Background Technology

[0002] Current groundwater source tracing methods suffer from a lack of systematic integration. Key evidence such as hydrogeological information, enterprise production information, leakage risks, and water body chemical fingerprints are isolated, failing to form a complete chain of evidence that is interconnected and progressively layered. Another prominent problem is the lack of a precise screening logic from a broad perspective to specific points. When faced with a large number of potential pollution sources within an industrial park, investigations often become like searching for a needle in a haystack, resulting in serious waste of resources and lengthy source tracing cycles.

[0003] Chinese Patent Application Publication No. CN115876730A discloses a groundwater pollution early warning and tracing system and method, including the following steps: First, groundwater samples from different depths are collected using a sampler and filtered. Second, routine chemical testing is performed on the groundwater samples, and the analysis results are transmitted to the control module. Third, when there are significant changes in the indicators, three-dimensional fluorescence spectroscopy is performed on the groundwater samples, and the detection results are transmitted to the water quality fingerprint comparison module to obtain image similarity, and the analysis results are transmitted to the control module. Fourth, the water quality fingerprints of abnormal samples are compared with the wastewater discharged by various enterprises. If the similarity exceeds a threshold, the source enterprise of pollution is identified; if it does not exceed the threshold, isotope testing is performed on the samples, and the analysis results are transmitted to the control module. Fifth, when the isotope ratio of the groundwater sample is within the range of the corresponding isotope ratio in the isotope ratio database of one of the enterprises, that enterprise is identified as the source enterprise of pollution. When the isotope ratio of a groundwater sample falls within the range of corresponding isotope ratios in the atmospheric, leachate, or pesticide isotope ratio databases, the atmospheric, leachate, or pesticide is identified as the pollution source. By combining conventional water chemistry detection techniques, three-dimensional fluorescence spectroscopy for water quality fingerprinting, and isotope detection techniques, multi-level detection is used to improve the accuracy of source tracing, thereby achieving accurate source tracing and rapid early warning of groundwater pollution.

[0004] Therefore, the invention has the following problems: This invention fails to consider the systemic deficiencies that are common in groundwater pollution tracing technologies. The investigation methods are fragmented and isolated, data from each stage lacks effective integration, and there is an over-reliance on the personal experience of investigators for subjective judgment. Furthermore, the lack of a mutually corroborating scientific system between hydrogeological information, enterprise production data, and pollutant characteristic evidence leads to a weak and broken chain of evidence, ultimately resulting in prominent problems such as low accuracy of tracing conclusions, low efficiency of investigation work, and insufficient legal basis for enforcement. Summary of the Invention

[0005] To address this, the present invention provides a groundwater pollution source tracing system based on multi-dimensional data analysis. This system overcomes the problems in existing technologies that do not consider the fragmented and isolated investigation methods, excessive reliance on human experience, and the resulting in the inability of hydrogeological, enterprise discharge, and pollutant characteristic data to corroborate each other, leading to a weak chain of evidence and ultimately low accuracy of the source tracing system.

[0006] To achieve the above objectives, this invention provides a groundwater pollution source tracing system based on multi-dimensional data analysis, comprising: The data acquisition module is used to collect hydrogeological information parameters of the target park, benzene series concentration data of wastewater discharged by potential pollution source enterprises in the target park, and pollutant characteristic parameter information of groundwater samples in the target park. The processing module is used to analyze the flow direction angle and velocity of groundwater based on the hydrogeological information parameters, and to analyze the pollution characteristic values ​​based on the pollutant characteristic parameter information. The assessment module is used to screen out enterprises with excessive benzene series compound concentrations as the first label target based on the comparison results of the pollution characteristic characterization values ​​of each enterprise's wastewater discharge with the predetermined pollution characterization threshold. The verification module is used to perform source tracing analysis based on the flow direction angle of groundwater, obtain three-dimensional fluorescence spectral data of wastewater and groundwater samples from the first-label target enterprise, analyze the pollution feature similarity of the three-dimensional fluorescence spectra, and determine whether the water pollution source tracing enterprise is abnormal based on the comparison result of the pollution feature similarity with the preset similarity threshold. If the enterprise involved in water pollution source tracing is abnormal, the corresponding treatment strategy is determined based on the ratio of the similarity of pollution characteristics between the target enterprise's wastewater and the groundwater sample to a preset first pollution characteristic similarity threshold. The hydrogeological information parameters include permeability coefficient, groundwater level of each monitoring well, and actual distance between each monitoring well along the water flow direction; The pollutant characteristic parameters include the concentrations of monocyclic benzene compounds and polycyclic benzene compounds.

[0007] Furthermore, the processing module is used to analyze pollution characteristic values ​​based on the pollutant characteristic parameter information, including: The ratio of the concentration of monocyclic benzene compounds in the target pollution source enterprises in the target area to a predetermined concentration threshold of monocyclic benzene compounds is defined as the first pollution characteristic factor; The ratio of the concentration of polycyclic benzene compounds (PPCs) in the target pollution source enterprises in the target area to a predetermined PPC concentration threshold is defined as the second pollution characteristic factor. The sum of the first pollution characteristic factor and the second pollution characteristic factor is determined as the pollution characteristic characterization value.

[0008] Furthermore, the evaluation module is used to compare the pollution characteristic values ​​of wastewater discharged by each enterprise with predetermined pollution characterization thresholds, and to screen out enterprises with excessive benzene series compound concentrations as first-label target enterprises, including, If the pollution characteristic value of the wastewater discharged by an enterprise is greater than or equal to the predetermined pollution characteristic threshold, the enterprise is identified as the first label target enterprise. If the pollution characteristic value of the wastewater discharged by an enterprise is less than the predetermined pollution characteristic threshold, the enterprise is determined to be a non-first-label target enterprise, and the source tracing of the target pollution source enterprise is abnormal.

[0009] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a groundwater pollution source tracing system based on multi-dimensional data analysis. The system includes a data acquisition module for collecting hydrogeological information parameters of the industrial park, parameters of upstream enterprises in the groundwater system, and benzene series compound content at each production stage; a processing module for processing and analyzing the collected data parameters to obtain data feature values; an evaluation module for assessing whether the pollution feature values ​​of enterprise wastewater discharge meet standards; and a verification module for verifying and comparing the similarity between the pollution feature values ​​of groundwater samples and the pollution feature values ​​of the target pollution source enterprise's wastewater, determining whether the target pollution source enterprise is the main pollution source. If the similarity meets the standards, it indicates that the groundwater sample exceeding the standard and the enterprise wastewater have abnormal source tracing. This invention uses cross-validation to identify the main pollution source, improving the reliability and accuracy of source tracing.

[0010] In particular, this invention achieves integrated collection of hydrogeological information parameters of the industrial park, benchmark concentration threshold concentration of enterprises, and wastewater information from production processes through the comprehensive data acquisition function of the acquisition module. It systematically integrates key hydrogeological parameters such as permeability coefficient, groundwater level, and hydraulic gradient, and combines characteristic pollutant data on the concentration of monocyclic and polycyclic benzene series compounds of enterprises, as well as wastewater information on the content of benzene series compounds in each production process, to construct a multi-dimensional pollution source tracing database. The comprehensive data acquisition method breaks through the limitations of traditional single-source pollutant concentration detection, enabling subsequent analysis to fully consider the correlation between groundwater flow field characteristics and enterprise sewage discharge characteristics, significantly improving the accuracy of pollution source tracing and the reliability of system detection.

[0011] In particular, this invention achieves in-depth mining and intelligent evaluation of collected data through the collaborative analysis function of the processing module and the evaluation module. The processing module performs standardized processing and feature extraction on multi-source data, transforming the raw monitoring data into quantifiable feature indicators. The evaluation module automatically completes the classification of enterprise pollution status and identification of suspected sources based on preset benzene concentration thresholds. The modular processing method realizes the rapid transformation from massive monitoring data to effective pollution information, significantly shortening the time cost required for traditional manual analysis and improving the efficiency and accuracy of pollution identification.

[0012] In particular, this invention achieves accurate determination of pollution source relationships through the multi-level similarity comparison function of the verification module. It uses three-dimensional fluorescence spectroscopy to measure the peak position and peak intensity parameters as pollution fingerprints. By setting first and second preset similarity thresholds, a three-level judgment standard is established, realizing three-level refined discrimination. The graded judgment mechanism can not only accurately identify the main polluters responsible for pollution, but also effectively indicate the possibility of compound pollution. It provides an innovative solution for the analysis of complex pollution scenarios, improves the scientificity and practicality of pollution source tracing conclusions, and the fingerprint comparison method based on spectral features avoids the limitations of traditional single concentration comparison. The comprehensive analysis of multi-dimensional feature parameters ensures the reliability of the comparison results, enabling pollution source tracing to shift from qualitative judgment to quantitative analysis, thus improving the accuracy of the conclusions.

[0013] In particular, this invention achieves fully automated management of the entire process of groundwater pollution source tracing through the systematic integration and process-oriented collaboration of various modules. The system's complete link design, from data collection, processing and analysis, pollution assessment to final verification, realizes the standardized operation of pollution source tracing work, effectively solving the problems of disconnected links and low data transmission efficiency in traditional methods. The integrated design reduces manual intervention, lowers labor costs and operational errors. At the same time, by improving the efficiency and accuracy of source tracing, the system provides reliable technical support for environmental pollution prevention and control, comprehensively improves environmental governance efficiency, and reduces regulatory costs. Attached Figure Description

[0014] Figure 1 This is a structural block diagram of a groundwater pollution tracing system based on multi-dimensional data analysis, as described in an embodiment of the present invention. Figure 2 This invention provides a logical decision diagram for evaluating whether a company is a target company for the first label. Figure 3 A logical decision diagram of the present invention for determining the corresponding handling strategy for source tracing anomalies of target pollution source enterprises based on the similarity of the pollution features; Figure 4 This invention provides a logical decision diagram for determining whether an enterprise is the primary source of groundwater pollution based on the similarity of pollution feature values. Detailed Implementation

[0015] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0016] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0017] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0018] Please see Figure 1 The diagram shown is a structural block diagram of a groundwater pollution tracing system based on multi-dimensional data analysis, according to an embodiment of the present invention. The present invention provides a groundwater pollution tracing system based on multi-dimensional data analysis, comprising: The data acquisition module is used to collect hydrogeological information parameters of the target park, benzene series concentration data of wastewater discharged by potential pollution source enterprises in the target park, and pollutant characteristic parameter information of groundwater samples in the target park. The processing module is used to analyze the flow direction angle and velocity of groundwater based on the hydrogeological information parameters, and to analyze the pollution characteristic values ​​based on the pollutant characteristic parameter information. The assessment module is used to screen out enterprises with excessive benzene series compound concentrations as the first label target based on the comparison results of the pollution characteristic characterization values ​​of each enterprise's wastewater discharge with the predetermined pollution characterization threshold. The verification module is used to perform source tracing analysis based on the flow direction angle of groundwater, obtain three-dimensional fluorescence spectral data of wastewater and groundwater samples from the first-label target enterprise, analyze the pollution feature similarity of the three-dimensional fluorescence spectra, and determine whether the water pollution source tracing enterprise is abnormal based on the comparison result of the pollution feature similarity with the preset similarity threshold. If the enterprise involved in water pollution source tracing is abnormal, the corresponding treatment strategy is determined based on the ratio of the similarity of pollution characteristics between the target enterprise's wastewater and the groundwater sample to a preset first pollution characteristic similarity threshold. The hydrogeological information parameters include permeability coefficient, groundwater level of each monitoring well, and actual distance between each monitoring well along the water flow direction; The pollutant characteristic parameters include the concentrations of monocyclic benzene compounds and polycyclic benzene compounds.

[0019] It is understandable that the permeability coefficient is a parameter that comprehensively reflects the permeability of rocks. It represents the rate of groundwater seepage under the condition of a default hydraulic gradient of 1. The value of the permeability coefficient is obtained through field pumping experiments.

[0020] Understandably, the groundwater level of each monitoring well is the most direct data for determining the direction of groundwater flow. Groundwater always flows from places with high water levels to places with low water levels, so the direction of groundwater flow can be determined. The difference between the elevation of the monitoring wellhead and the distance from the monitoring wellhead to the water surface is defined as the groundwater level.

[0021] It is understandable that the hydraulic gradient is the water level loss per unit distance, and the ratio of the water level difference between two measurement points to the horizontal distance between the two measurement points is used as the value of the hydraulic gradient.

[0022] This invention provides a groundwater pollution source tracing system based on multi-dimensional data analysis. The system includes a data acquisition module to collect parameters such as hydrogeological information of the industrial park, parameters of upstream enterprises in the groundwater system, and benzene series compound content at each production stage. A processing module analyzes the collected data parameters to obtain data feature values. An evaluation module assesses whether the pollution feature values ​​of the enterprise's wastewater discharge meet standards. A verification module verifies the similarity between the pollution feature values ​​of the groundwater sample and the pollution feature values ​​of the target pollution source enterprise's wastewater, determining whether the target pollution source enterprise is the primary pollution source. If the similarity meets the standards, it indicates an anomaly in the source tracing of the groundwater sample and the enterprise's wastewater. This invention uses cross-validation to identify the primary pollution source, improving the reliability and accuracy of source tracing.

[0023] Specifically, the processing module is used to analyze pollution characteristic values ​​based on the pollutant characteristic parameter information, including: The ratio of the concentration of monocyclic benzene compounds in the target pollution source enterprises in the target area to a predetermined concentration threshold of monocyclic benzene compounds is defined as the first pollution characteristic factor; The ratio of the concentration of polycyclic benzene compounds (PPCs) in the target pollution source enterprises in the target area to a predetermined PPC concentration threshold is defined as the second pollution characteristic factor. The sum of the first pollution characteristic factor and the second pollution characteristic factor is determined as the pollution characteristic characterization value.

[0024] In this embodiment, the predetermined concentration threshold of monocyclic benzene series compounds is pre-set. The predetermined concentration threshold of monocyclic benzene series compounds is selected within the range of [0.05, 1.0] of the Class III standard value of the Groundwater Quality Standard (GB / T 14848-2017), with the unit being mg / L. The preferred threshold value in this embodiment is 0.45.

[0025] In this embodiment, the predetermined concentration threshold for polycyclic benzene compounds is pre-set and selected within the range of [0.001, 0.1] based on the limit range of Class III standard values ​​in the "Groundwater Quality Standard" (GB / T 14848-2017). The unit is mg / L, and the preferred threshold in this embodiment is 0.065.

[0026] By strictly limiting the predetermined concentration thresholds for monocyclic benzene series compounds and polycyclic benzene series compounds, this invention achieves authoritative standardization and scientific quantification of the system's judgment criteria. The limitation of the scope ensures that the judgment criteria for pollution source screening directly align with the highest national requirements for protecting individual health and water environment quality, thereby improving the accuracy and credibility of the source tracing conclusions and fundamentally enhancing the quality and precision of the system data.

[0027] Please see Figure 2 As shown, this is a logic diagram used in an embodiment of the present invention to assess whether a company is a target company for the first label. The assessment module is used to compare the pollution characteristic values ​​of the wastewater discharged by each company with a predetermined pollution characteristic threshold, and to screen out companies with excessive benzene series compound concentrations as target companies for the first label, including... If the pollution characteristic value of the wastewater discharged by an enterprise is greater than or equal to the predetermined pollution characteristic threshold, the enterprise is identified as the first label target enterprise. If the pollution characteristic value of the wastewater discharged by an enterprise is less than the predetermined pollution characteristic threshold, the enterprise is determined to be a non-first-label target enterprise, and the source tracing of the target pollution source enterprise is abnormal.

[0028] In this embodiment, the predetermined baseline concentration threshold is pre-set and is selected within the limit range [0.05, 0.5] of the Class III standard value of the "Groundwater Quality Standard" (GB / T14848-2017) applicable to the park, with the unit being mg / L.

[0029] In the embodiment, the predetermined pollution characterization threshold is preset and selected within the range of [0.98, 1.52]. The preferred threshold in the embodiment is 1.35.

[0030] This invention, by directly benchmarking against strict limits for protecting human health and the aquatic environment, enables the system to quickly and efficiently screen out enterprises that pose a real or potential risk to groundwater quality. This avoids the arbitrariness of subjective judgment, ensures the objectivity and reliability of screening results, and unifies and standardizes regulatory standards. Regulatory personnel do not need to rely on complex calculations or personal experience to set thresholds, making the operation process extremely simple. This effectively reduces the technical threshold for system use and the probability of human error, thereby improving the control efficiency of environmental supervision.

[0031] Specifically, the target pollution source enterprise further extracts the content of benzene series compounds in each production process of the enterprise to assess whether the wastewater contains benzene series compounds.

[0032] Understandably, the content of benzene series compounds in the wastewater from each production stage of an enterprise can be qualitatively and quantitatively analyzed using gas chromatography-mass spectrometry (GC-MS). This allows for the precise determination of the mass concentration of each identified benzene series compound in the wastewater, expressed in mg / L.

[0033] This invention assesses whether a company's pollution discharge exceeds standards by measuring the specific content of benzene series compounds in wastewater. By quantitatively analyzing the concentration differences of benzene series compounds in wastewater from different production stages, the pollution source units within the company can be accurately located. This provides an indispensable quantitative evidence chain for the entire pollution tracing process. The system can establish a reliable mathematical model, improving the reliability and authority of the entire tracing system, shortening the tracing cycle, doubling work efficiency, and saving on-site investigation costs.

[0034] Please see Figure 3 As shown, this is a logic diagram of the corresponding processing strategy for judging the source tracing anomalies of target pollution source enterprises based on the similarity of pollution characteristics in an embodiment of the present invention. The corresponding processing strategy of the present invention includes, Calculate the ratio of the similarity of pollution characteristics between the target enterprise's wastewater and the groundwater sample to a preset first pollution characteristic similarity threshold; If the ratio is less than or equal to a preset first ratio threshold, the acquisition module will re-acquire data and perform a comprehensive re-analysis. If the ratio is greater than a preset first ratio threshold and less than or equal to a preset second ratio threshold, then the target enterprise with the source tracing abnormality is deleted and determined to be a non-pollution source enterprise. If the ratio is greater than the preset second ratio threshold, the wastewater discharged by the target pollution source enterprise will be resampled to determine whether the source tracing of the target enterprise is abnormal.

[0035] In this embodiment, the preset first similarity threshold is pre-set, and the preset first similarity threshold is 60%.

[0036] In this embodiment, the preset first ratio threshold is pre-set and is selected within the range of [0.5, 0.7]. In this embodiment, the preferred first ratio threshold is 0.65.

[0037] In the embodiment, the preset second ratio threshold is pre-set and is selected in the range of [0.8, 0.9]. In the preferred embodiment, the second ratio threshold is 0.85.

[0038] This invention establishes a hierarchical processing strategy based on similarity differences. After the system determines that the source of the problem is abnormal, it automatically triggers a full-chain review process of hydrogeological, enterprise sewage discharge and monitoring data. This effectively identifies and eliminates misjudgments caused by data quality issues. When the data is correct, the system decisively excludes irrelevant enterprises, improving the efficiency of the investigation. When the data is abnormal, it initiates targeted retesting to avoid blindly expanding the scope of the investigation and saves manpower and material resources for on-site sampling and laboratory analysis.

[0039] This invention, through the introduction of a quantitative pollution feature value similarity comparison mechanism, achieves a technological leap from qualitative judgment to quantitative analysis in pollution source tracing, significantly improving the accuracy and scientific rigor of the tracing results. The system transforms complex pollution correlation issues into an automated comparison process with preset similarity thresholds, not only improving screening efficiency but also providing a key technical path for precise pollution control and eradication of complex pollution by clearly defining pollution responsibility. This makes operation and control extremely simple, reduces reliance on professional personnel, and ensures that environmental governance resources are used effectively, fundamentally improving the efficiency and speed of environmental supervision and governance.

[0040] Specifically, the pollution feature similarity is determined based on the ratio of a first similarity factor to a second similarity factor, wherein, The ratio of the fluorescence intensity of the target company to the fluorescence intensity of the groundwater sample in the target area is defined as the first similarity factor. The cosine value of the full-spectrum vector of the target enterprise and the groundwater sample in the target area is used as the second similarity factor.

[0041] Understandably, both fluorescence intensity and full-spectrum vector are obtained from three-dimensional fluorescence spectroscopy.

[0042] It is understandable that fluorescence intensity refers to the sum of the intensities of all data points in the entire three-dimensional fluorescence spectrum, reflecting the overall concentration level of pollutants.

[0043] It is understandable that the full-spectrum vector value refers to a one-dimensional array obtained by dimensionality reduction and expansion of three-dimensional fluorescence spectral data, which is used to characterize the overall composition and fingerprint features of pollutants.

[0044] This invention defines pollution feature similarity by using the ratio of fluorescence intensity ratio to the cosine similarity of the full spectrum, thereby simultaneously improving the accuracy of source tracing and decision-making efficiency. On the one hand, it utilizes hydrogeological information to narrow down the investigation scope and reduce invalid calculations at the source. On the other hand, by comprehensively considering the overall level of pollutant concentration and the matching degree of spectral fingerprint shape, it effectively overcomes the misjudgment that may occur with a single indicator, making the source tracing conclusions more scientific and reliable. The system can quickly identify the main responsible source while ensuring high accuracy, providing efficient and intuitive technical support for environmental law enforcement and pollution control, and saving manpower and time costs.

[0045] Specifically, determining whether a water pollution source tracing enterprise is abnormal based on the comparison result of the pollution feature similarity with a preset similarity threshold includes: If the similarity of pollution characteristics is less than the preset similarity threshold, the enterprise for tracing the source of water pollution is determined to be abnormal. If the similarity of pollution characteristics is greater than or equal to the preset similarity threshold, the enterprise for tracing the source of water pollution is determined to be non-abnormal.

[0046] In this embodiment, the preset similarity threshold is set in advance, and the preferred preset similarity threshold in this embodiment is 60%.

[0047] This invention introduces a preset similarity threshold as a clear standard for determining whether a pollution source enterprise has an abnormal source tracing process, thereby achieving objectivity and efficiency in the source tracing process. The system automatically compares the calculated pollution feature similarity with the threshold: if it is lower than the threshold, it is determined to be an abnormal source tracing; if it reaches or exceeds the threshold, it is determined to be a correct source tracing. This can quickly identify the responsible party, which not only significantly improves the accuracy and reliability of source tracing judgment and avoids subjective assumptions, but also enables subsequent law enforcement and governance work to be targeted. The beneficial effects are mainly reflected in the intelligence and simplicity of operation and control, which greatly improves regulatory efficiency and shortens the decision-making cycle.

[0048] Please see Figure 4 As shown, this is a logic diagram illustrating how an enterprise is determined as a primary source of groundwater pollution based on the similarity of pollution feature values ​​according to an embodiment of the present invention. The method described in this invention for determining whether a target pollution source enterprise is a primary source of pollution based on the similarity of pollution features includes: If the similarity of pollution features is less than the first preset threshold for similarity of pollution features, then the target pollution source enterprise is determined to be a non-primary source of responsibility. If the similarity of pollution features is greater than or equal to the first preset pollution feature similarity threshold and less than the second preset pollution feature similarity threshold, then it is determined that the source of the target pollution source enterprise is correct, and the groundwater sample exceeding the standard was affected by the target pollution source enterprise, and there are other pollution sources. If the similarity of pollution characteristics is greater than or equal to the second preset pollution characteristic similarity threshold, then the target pollution source enterprise is identified as the main source of responsibility.

[0049] It is understandable that the similarity between the pollution characteristic values ​​of groundwater samples and the pollution characteristic values ​​of wastewater from the production process of the target pollution source is the ratio of the pollution characteristic values ​​of the wastewater from the production process of the target pollution source to the pollution characteristic values ​​of the groundwater samples.

[0050] In the embodiments, the preset first similarity threshold is pre-set, and the preferred preset first similarity threshold in the embodiments is 60%.

[0051] In the embodiments, the preset second similarity threshold is pre-set, and the preferred preset second similarity threshold in the embodiments is 90%.

[0052] This invention, through the introduction of a multi-level similarity threshold determination mechanism, refines the degree of pollution source impact, enabling the system to accurately identify complex pollution scenarios and alert operators to the presence of other pollution sources, preventing missed or false judgments. The hierarchical and quantitative determination logic greatly enhances the system's adaptability, judgment reliability, and decision support value in complex hydrogeological and industrial park environments. The system significantly reduces the risk of misjudgment and significantly improves the accuracy of calling the groundwater pollution source tracing system based on multi-dimensional data analysis.

[0053] Specifically, the verification module is used to perform source tracing analysis based on the direction angle of groundwater flow, wherein the target verification enterprise is determined based on the difference between the direction angle of groundwater flow and the direction angle threshold.

[0054] Understandably, the upstream of groundwater refers to the direction in which groundwater flows, that is, the area where the groundwater level is higher and the water flow originates.

[0055] It is understandable that the implementation of the groundwater flow direction angle is the angle rotated clockwise from due north to the direction of water flow. The direction angle threshold is pre-determined, that is, the direction angle benchmark for the location of the target verification enterprise is determined as the direction angle threshold.

[0056] This invention uses the flow direction of groundwater as the primary basis for source tracing analysis, clearly guiding the system to first investigate suspected enterprises located upstream of the groundwater, thus improving the efficiency and accuracy of source tracing. By utilizing the natural law of pollutant diffusion with water flow, the key investigation scope is narrowed down from the source direction, enabling subsequent high-cost, high-precision three-dimensional fluorescence spectroscopy analysis to be targeted effectively. This not only avoids wasting resources on unrelated downstream enterprises and significantly saves computing time and detection costs, but also ensures, through its mechanism, that the source tracing work can quickly identify the most likely source of pollution responsibility, thereby gaining valuable time for subsequent environmental law enforcement and efficient governance, achieving a dual improvement in operational process optimization and pollution eradication efficiency.

[0057] Specifically, the acquisition module components include a groundwater sampler, a pressure-type water level sensor, and a GPS positioning rangefinder.

[0058] Understandably, pressure-type water level sensors can measure the hydrostatic pressure generated by the water body at the sensor's location. The groundwater level is the ratio of the measured pressure value to the density of water and the acceleration due to gravity.

[0059] Understandably, a GPS positioning rangefinder is a laser rangefinder that integrates GPS positioning functionality. It can measure distances while directly linking to the geographic coordinates of the measurement point, thus determining the actual distance between each monitoring well.

[0060] This invention utilizes groundwater samplers, pressure level sensors, and laser rangefinders to collect hydrogeological parameters of the target industrial park, pollutant characteristic parameters of wastewater discharged by potential pollution sources within the park, and pollutant characteristic parameters of groundwater samples from the target area. Once these components are installed and deployed, the system can operate stably and unattended for extended periods. Operation is extremely simple, saving on frequent on-site visits and energy consumption. Supervisory personnel can remotely control the sensors and acquire data in real time via a network platform, greatly simplifying the data collection and usage process and reducing the manpower and time costs of long-term monitoring.

[0061] Specifically, the acquisition module component also includes a fluorescence spectrophotometer.

[0062] Understandably, fluorescence spectrophotometers are used to rapidly obtain three-dimensional fluorescence spectra of wastewater and water samples as water quality fingerprints.

[0063] This invention introduces a fluorescence spectrophotometer to rapidly acquire the three-dimensional fluorescence spectrum of water samples as a water quality fingerprint. This can capture the complete fluorescence characteristics of dissolved organic matter in the water, forming a unique fingerprint that is difficult to replicate. This allows the system to effectively identify subtle differences between different pollution sources when comparing pollution sources, overcoming the problem of inaccurate concentration judgment caused by pollutant dilution or degradation, and improving the accuracy of source tracing results.

[0064] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A groundwater pollution source tracing system based on multi-dimensional data analysis, characterized in that, include: The data acquisition module is used to collect hydrogeological information parameters of the target park, benzene series concentration data of wastewater discharged by potential pollution source enterprises in the target park, and pollutant characteristic parameter information of groundwater samples in the target park. The processing module is used to analyze the flow direction angle and velocity of groundwater based on the hydrogeological information parameters, and to analyze the pollution characteristic values ​​based on the pollutant characteristic parameter information. The assessment module is used to screen out enterprises with excessive benzene series compound concentrations as the first label target based on the comparison results of the pollution characteristic characterization values ​​of each enterprise's wastewater discharge with the predetermined pollution characterization threshold. The verification module is used to perform source tracing analysis based on the flow direction angle of groundwater, obtain three-dimensional fluorescence spectral data of wastewater and groundwater samples from the first-label target enterprise, analyze the pollution feature similarity of the three-dimensional fluorescence spectra, and determine whether the water pollution source tracing enterprise is abnormal based on the comparison result of the pollution feature similarity with the preset similarity threshold. If the enterprise involved in water pollution source tracing is abnormal, the corresponding treatment strategy is determined based on the ratio of the similarity of pollution characteristics between the target enterprise's wastewater and the groundwater sample to a preset first pollution characteristic similarity threshold. The hydrogeological information parameters include permeability coefficient, groundwater level of each monitoring well, and actual distance between each monitoring well along the water flow direction; The pollutant characteristic parameters include the concentrations of monocyclic benzene compounds and polycyclic benzene compounds.

2. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 1, characterized in that, The processing module is used to analyze pollution characteristic values ​​based on the pollutant characteristic parameter information, including: The ratio of the concentration of monocyclic benzene compounds in the target pollution source enterprises in the target area to a predetermined concentration threshold of monocyclic benzene compounds is defined as the first pollution characteristic factor; The ratio of the concentration of polycyclic benzene compounds (PPCs) in the target pollution source enterprises in the target area to a predetermined PPC concentration threshold is defined as the second pollution characteristic factor. The sum of the first pollution characteristic factor and the second pollution characteristic factor is determined as the pollution characteristic characterization value.

3. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 1, characterized in that, The assessment module compares the pollution characteristic values ​​of wastewater discharged by each enterprise with predetermined pollution characterization thresholds, and screens out enterprises with excessive benzene series compound concentrations as the first-label target enterprises, including: If the pollution characteristic value of the wastewater discharged by an enterprise is greater than or equal to the predetermined pollution characteristic threshold, the enterprise is identified as the first label target enterprise. If the pollution characteristic value of the wastewater discharged by an enterprise is less than the predetermined pollution characteristic threshold, the enterprise is determined to be a non-first-label target enterprise, and the source tracing of the target pollution source enterprise is abnormal.

4. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 3, characterized in that, The processing strategy includes: Calculate the ratio of the similarity of pollution characteristics between the target enterprise's wastewater and the groundwater sample to a preset first pollution characteristic similarity threshold; If the ratio is less than or equal to a preset first ratio threshold, the acquisition module will re-acquire data and perform a comprehensive re-analysis. If the ratio is greater than a preset first ratio threshold and less than or equal to a preset second ratio threshold, then the target enterprise with the source tracing abnormality is deleted and determined to be a non-pollution source enterprise. If the ratio is greater than the preset second ratio threshold, the wastewater discharged by the target pollution source enterprise will be resampled to determine whether the source tracing of the target enterprise is abnormal.

5. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 4, characterized in that, The pollution feature similarity is determined based on the ratio of a first similarity factor to a second similarity factor, wherein, The ratio of the fluorescence intensity of the target company to the fluorescence intensity of the groundwater sample in the target area is defined as the first similarity factor. The cosine value of the full-spectrum vector of the target enterprise and the groundwater sample in the target area is used as the second similarity factor.

6. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 4, characterized in that, The step of determining whether a water pollution source tracing enterprise is abnormal based on the comparison result of the pollution feature similarity with a preset similarity threshold includes: If the similarity of pollution characteristics is less than the preset similarity threshold, the enterprise for tracing the source of water pollution is determined to be abnormal. If the similarity of pollution characteristics is greater than or equal to the preset similarity threshold, the enterprise for tracing the source of water pollution is determined to be non-abnormal.

7. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 5, characterized in that, The determination of whether the target pollution source enterprise is the primary source of responsibility based on the similarity of the pollution characteristics includes: If the similarity of pollution features is less than the first preset threshold for similarity of pollution features, then the target pollution source enterprise is determined to be a non-primary source of responsibility. If the similarity of pollution features is greater than or equal to the first preset pollution feature similarity threshold and less than the second preset pollution feature similarity threshold, then it is determined that the source of the target pollution source enterprise is correct, and the groundwater sample exceeding the standard was affected by the target pollution source enterprise, and there are other pollution sources. If the similarity of pollution characteristics is greater than or equal to the second preset pollution characteristic similarity threshold, then the target pollution source enterprise is identified as the main source of responsibility.

8. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 1, characterized in that, The verification module is used to perform source tracing analysis based on the direction angle of groundwater flow, wherein the target verification enterprise is determined based on the difference between the direction angle of groundwater flow and the direction angle threshold.

9. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 1, characterized in that, The data acquisition module components include a groundwater sampler, a pressure-type water level sensor, and a GPS positioning and ranging device.

10. The groundwater pollution source tracing system based on multi-dimensional data analysis according to claim 1, characterized in that, The acquisition module also includes a fluorescence spectrophotometer.

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