Underground water model modeling method based on online data monitoring system

Abstract

The invention relates to the technical field of water source monitoring, in particular to an underground water model modeling method based on an on-line data monitoring system, which comprises the following steps: acquiring a hydrogeological environment of a polluted site, selecting a plurality of positions on the basis of the hydrogeological environment of the polluted site to set an underground water pollution on-line data monitoring system, a detection point network of the polluted site is formed based on a plurality of positions selected from the hydrogeological environment of the polluted site and on-line data monitoring systems arranged corresponding to the plurality of positions, a monitoring center station obtains site numerical values detected by the detection point network in real time, and a three-dimensional numerical model is established according to the site numerical values; according to the scheme of the underground water monitoring system, various advantages can be brought to underground water monitoring and management of a polluted site, and the scheme has the important advantages of improving data quality, supporting decision making and promoting scientific research and education.

Description

Technical Field

[0001] The present invention relates to the technical field of water source monitoring, and in particular to a groundwater modeling method based on an online data monitoring system. Background Art

[0002] Groundwater is one of the most important freshwater resources on earth, and it plays an irreplaceable role in maintaining ecological balance, ensuring water for human life and agricultural irrigation, etc. Therefore, the monitoring and management of groundwater systems has become particularly important.

[0003] Traditional groundwater monitoring methods rely on on-site measurements and sampling, which are often time-consuming and labor-intensive, and difficult to achieve real-time monitoring. With the development of technology, online data monitoring systems have gradually become an important tool for groundwater monitoring. These systems can provide continuous, real-time data, which helps to more accurately understand the status and changing trends of groundwater.

[0004] Online data monitoring systems usually include sensor networks, data transmission equipment, and data processing software. The sensor network is responsible for collecting various groundwater parameters, such as water level, temperature, conductivity, pH value, etc. The data transmission equipment sends this information to a central database or cloud platform. The data processing software is responsible for analyzing this data and generating reports and warning information.

[0005] Although online data monitoring systems provide powerful tools for groundwater management, it remains a challenge to effectively use these data to build accurate groundwater models. A groundwater model is a mathematical expression used to simulate the process of groundwater flow and contaminant transport. The modeling method needs to take into account the complexity of the groundwater system, such as heterogeneity, anisotropy, and multiphase flow.

[0006] Currently, there are many groundwater modeling methods, including physical models, numerical models, and statistical models. Physical models are based on actual physical processes, while numerical models use numerical methods to solve partial differential equations that control groundwater flow and pollutant transport. Statistical models rely on historical data and use statistical analysis to predict groundwater behavior. Summary of the invention

[0007] In view of this, the present invention aims at the deficiencies of the prior art and proposes a groundwater modeling method based on an online data monitoring system, aiming to solve at least one of the problems raised by the above background technology.

[0008] The present invention provides a groundwater modeling method based on an online data monitoring system, comprising: obtaining the hydrogeological environment of a contaminated site;

[0009] Select several locations based on the hydrogeological environment of the contaminated site to set up an online data monitoring system for groundwater pollution;

[0010] A detection point network of the contaminated site is formed based on a number of locations selected based on the hydrogeological environment of the contaminated site and an online data monitoring system corresponding to the number of locations;

[0011] The monitoring center obtains the site values ​​detected by the detection point network in real time and establishes a three-dimensional numerical model based on the site values.

[0012] In some embodiments, before selecting several locations based on the hydrogeological environment of the contaminated site, it is necessary to confirm the pollutant components in the hydrogeological environment of the contaminated site and the main pollution sources in the hydrogeological environment of the contaminated site.

[0013] In some embodiments, the detection point network of the contaminated site is set up to connect the urban residential area, industrial and mining enterprise area and existing and planned water supply sources where the contaminated site is located.

[0014] In some embodiments, contaminated water samples are obtained based on the hydrogeological environment of the contaminated site, and the contaminated water samples are tested and analyzed to obtain contaminated water sample values. A detection point network with corresponding density is set according to the pollution severity obtained by comparing the contaminated water sample values ​​with a pollution degree pre-threshold.

[0015] In some embodiments, the pollution level pre-threshold is a water sample value in a non-polluted area.

[0016] In some embodiments, the online data monitoring system includes multiple water quality parameter probes and a data communication host. The monitoring center station exchanges information with the multiple water quality parameter probes via a wireless network within the data communication host to complete the recovery of monitoring data and the management of monitoring equipment.

[0017] In some embodiments, the multi-water quality parameter probe includes: online automatic monitoring equipment for groundwater flow field and groundwater quality monitoring equipment.

[0018] In some embodiments, the model of the on-line automatic monitoring equipment for groundwater flow field is Level-min i-CTD, which is used for automatic long-term monitoring of groundwater level, water temperature and conductivity.

[0019] In some embodiments, the groundwater quality monitoring equipment is an AP-2000 portable multi-parameter water quality analyzer, which is used to detect pH, negative redox potential, total dissolved solids, and optical dissolved oxygen in groundwater.

[0020] In some embodiments, data support is provided for the three-dimensional numerical model based on the groundwater level, water temperature, conductivity, pH, negative redox potential, total dissolved solids, and optical dissolved oxygen values ​​of the hydrogeological environment of the contaminated site.

[0021] Compared with the prior art, the beneficial effects of the present invention are: through the online monitoring system, various water quality parameters of groundwater, such as water level, temperature, conductivity, pH value, etc., can be collected in real time, and these data can immediately reflect the changes in the groundwater environment; automated monitoring and data transmission reduce the time and labor cost of manual sampling and laboratory analysis, while reducing human errors and improving the efficiency of monitoring work. Multiple monitoring sites are set up at the contaminated site to form a detection point network, which can fully cover the entire contaminated area and provide more detailed pollution distribution information. The monitoring data is transmitted to the central station via a wireless network, which is convenient for data management and analysis. The intelligent collection, transmission and monitoring system provides decision makers with powerful data support, which helps to make more scientific and reasonable governance and restoration decisions. The design of the composite probe enables long-term automatic monitoring of groundwater environmental parameters, which helps to observe the long-term behavior and trend of pollutants in groundwater. When the monitoring data shows that the pollution situation has deteriorated or exceeded the safety threshold, the system can issue an early warning in time, initiate emergency response measures, and reduce the impact of pollution on the environment and human health. Real-time monitoring data provides accurate input parameters and verification data for groundwater flow and pollutant transport models, helping to improve the accuracy and reliability of the models. The monitoring system can help regulators and companies ensure that their operations comply with environmental protection regulations and standards and avoid legal liability and economic losses caused by pollution problems.

[0022] The foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

[0023] Other features and aspects of the present disclosure will become more apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 A flow chart of a groundwater modeling method based on an online data monitoring system provided by an embodiment of the present invention;

[0026] Figure 2 Schematic diagram of the plane position of the pollution source and monitoring well in Case 1 of the embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0029] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0030] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, 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 it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0031] As mentioned in the background technology, online data monitoring systems usually include sensor networks, data transmission equipment and data processing software. The sensor network is responsible for collecting various parameters of groundwater, such as water level, temperature, conductivity, pH value, etc. The data transmission equipment sends this information to a central database or cloud platform. The data processing software is responsible for analyzing this data and generating reports and warning information.

[0032] Although online data monitoring systems provide powerful tools for groundwater management, it remains a challenge to effectively use these data to build accurate groundwater models. A groundwater model is a mathematical expression used to simulate the process of groundwater flow and contaminant transport. The modeling method needs to take into account the complexity of the groundwater system, such as heterogeneity, anisotropy, and multiphase flow.

[0033] Currently, there are many groundwater modeling methods, including physical models, numerical models, and statistical models. Physical models are based on actual physical processes, while numerical models use numerical methods to solve partial differential equations that control groundwater flow and pollutant transport. Statistical models rely on historical data and use statistical analysis to predict groundwater behavior.

[0034] In order to improve the above problems, this application proposes a groundwater modeling method based on an online data monitoring system. Through the online monitoring system, various water quality parameters of groundwater, such as water level, temperature, conductivity, pH value, etc., can be collected in real time. These data can immediately reflect the changes in the groundwater environment; automated monitoring and data transmission reduce the time and labor cost of manual sampling and laboratory analysis, while reducing human errors and improving the efficiency of monitoring work. Multiple monitoring sites are set up at the contaminated site to form a detection point network, which can fully cover the entire contaminated area and provide more detailed pollution distribution information. The monitoring data is transmitted to the central station via a wireless network to facilitate data management and analysis. The intelligent collection, transmission and monitoring system provides decision makers with powerful data support, which helps to make more scientific and reasonable governance and restoration decisions. The design of the composite probe enables long-term automatic monitoring of groundwater environmental parameters, which helps to observe the long-term behavior and trend of pollutants in groundwater. When the monitoring data shows that the pollution situation deteriorates or exceeds the safety threshold, the system can issue an early warning in time, initiate emergency response measures, and reduce the impact of pollution on the environment and human health. Real-time monitoring data provides accurate input parameters and verification data for groundwater flow and pollutant transport models, helping to improve the accuracy and reliability of the models. The monitoring system can help regulators and companies ensure that their operations comply with environmental protection regulations and standards and avoid legal liability and economic losses caused by pollution problems.

[0035] See also Figure 1 As shown, a groundwater modeling method based on an online data monitoring system according to an embodiment of the present application includes:

[0036] Obtain the hydrogeological environment of the contaminated site;

[0037] Select several locations based on the hydrogeological environment of the contaminated site to set up an online data monitoring system for groundwater pollution;

[0038] A detection point network of the contaminated site is formed based on a number of locations selected based on the hydrogeological environment of the contaminated site and an online data monitoring system corresponding to the number of locations;

[0039] The monitoring center obtains the site values ​​detected by the detection point network in real time and establishes a three-dimensional numerical model based on the site values.

[0040] It should be understood that the hydrogeological environment of the contaminated site is a groundwater flow field monitoring site selected according to needs; the detection point network is an integrated area of ​​several selected locations; the site values ​​are the groundwater level, water temperature and conductivity, as well as pH, negative redox potential (ORP), total dissolved solids (TDS), optical dissolved oxygen (DO), etc. detected by the online data monitoring system set up at several locations.

[0041] Online monitoring systems can provide continuous, real-time groundwater quality data that are collected automatically, reducing human error and improving data quality and integrity. This is critical for building accurate groundwater models. Using high-frequency, multi-parameter online monitoring data, higher-resolution and more accurate groundwater flow and contaminant transport models can be constructed. Such models can better describe the complex processes in groundwater systems. Online monitoring systems can cover a wide geographical area and diverse environmental conditions, ensuring that the model is representative of the entire contaminated site and adapts to changes in the groundwater environment based on new monitoring data. By analyzing hydrogeological conditions and preliminary monitoring data, the location of monitoring points can be scientifically selected, the monitoring network layout can be optimized, and the distribution and migration of the contamination plume can be effectively monitored.

[0042] Automated monitoring systems can detect changes in groundwater conditions in a timely manner and quickly reflect these changes in the groundwater model, enabling real-time updates and corrections to the model. Although the initial investment in an online monitoring system may be high, in the long run, automated monitoring and data transmission can reduce the cost of manual sampling and laboratory analysis, thereby reducing overall monitoring costs. Online monitoring systems can set thresholds. Once the monitored data exceeds the safe range, the system can immediately issue an early warning, initiate emergency response measures, and reduce potential environmental and health risks. Accurate groundwater models can help governments and companies assess pollution risks, formulate or adjust environmental policies and regulations, and ensure the scientific nature and effectiveness of environmental protection measures.

[0043] Groundwater models based on online monitoring data can provide rich empirical data for scientific research and promote the innovation and development of groundwater pollution control technologies. Public monitoring data and model results can increase public awareness of environmental issues, increase opportunities for public participation in environmental protection, and improve the transparency of environmental governance. Groundwater models can be used as tools for education and training to help students and new professionals better understand the complexity of groundwater systems and the challenges of pollution control. The groundwater modeling method based on the online data monitoring system significantly improves the predictive ability and management efficiency of the groundwater model by providing real-time, accurate and comprehensive data support, providing a powerful tool for the protection and sustainable management of groundwater resources.

[0044] In some specific embodiments, before selecting several locations based on the hydrogeological environment of the contaminated site, it is necessary to confirm the pollutant components in the hydrogeological environment of the contaminated site and the main pollution sources in the hydrogeological environment of the contaminated site.

[0045] It should be understood that identifying the components of pollutants helps to assess their potential risks to the environment and human health, thereby formulating corresponding risk management measures and governance priorities. Understanding the main sources of pollution and types of pollutants can guide the formulation of monitoring strategies and ensure that monitoring work can collect the most critical data in a targeted manner. Groundwater models require accurate pollution sources and pollutant input data to simulate the behavior of pollutants in groundwater. Confirming this information can improve the accuracy of model predictions.

[0046] Clarifying the composition and sources of pollutants can guide the rational allocation of resources and concentrate limited monitoring and control resources where they are most needed. By confirming the composition and sources of pollutants, it is possible to avoid setting up monitoring points in non-critical areas and reduce unnecessary monitoring work and costs. Confirming the composition and main sources of pollutants in the hydrogeological environment of the contaminated site provides a basis for groundwater monitoring and model building, making the entire monitoring and control process more scientific, efficient and targeted.

[0047] In some specific embodiments, the detection point network of the contaminated site is set up to connect the urban residential area, industrial and mining enterprise area and the existing and planned water supply sources where the contaminated site is located.

[0048] It should be understood that the detection points can provide real-time data to build an early warning system for urban residential areas, industrial and mining enterprise areas and water supply sources. Once the pollutants are detected to exceed the standard, the emergency plan can be immediately activated to prevent potential environmental pollution accidents. The water supply source is the lifeline of the city, and its safety is of vital importance to urban residents. Setting up detection points at existing and planned water supply sources can ensure that the water quality of the water source meets the standards, timely detect and respond to pollution incidents, and ensure the safety of urban water supply. The data provided by the detection point network can be used to construct and calibrate groundwater flow and pollutant migration models, improve the accuracy and reliability of the models, and provide a scientific basis for groundwater management. The detection point network of the contaminated site is set up in the urban residential areas, industrial and mining enterprise areas and existing and planned water supply sources where the contaminated site is located, which can provide a basis for groundwater monitoring and model building, making the entire monitoring and governance process more scientific, efficient and targeted.

[0049] In some specific embodiments, contaminated water samples are obtained based on the hydrogeological environment of the contaminated site, and the contaminated water samples are tested and analyzed to obtain contaminated water sample values. A detection point network with corresponding density is set according to the pollution severity obtained by comparing the contaminated water sample values ​​with a pollution degree pre-threshold.

[0050] It should be understood that the values ​​of the contaminated water samples are groundwater level, water temperature and conductivity, as well as pH, negative oxidation-reduction potential (ORP), total dissolved solids (TDS), and optical dissolved oxygen (DO).

[0051] In some specific embodiments, the pollution level pre-threshold is a water sample value in a non-polluted area.

[0052] It should be understood that the water sample values ​​of the non-polluted area include groundwater level, water temperature and conductivity, as well as pH, negative oxidation-reduction potential (ORP), total dissolved solids (TDS), and optical dissolved oxygen (DO).

[0053] In some specific embodiments, the online data monitoring system includes multiple water quality parameter probes and a data communication host. The monitoring center station exchanges information with the multiple water quality parameter probes via a wireless network within the data communication host to complete the recovery of monitoring data and the management of monitoring equipment.

[0054] It should be understood that online monitoring systems can cover a wide range of geographical areas, including urban residential areas, industrial and mining areas, and water supply sources, providing comprehensive water quality monitoring and timely detection of pollution events. The data communication host allows centralized management of equipment at multiple monitoring points, simplifies the maintenance and management of monitoring equipment, improves efficiency, and automated monitoring and data transmission reduces the need for manual sampling and laboratory analysis, reduces human errors, and improves data accuracy and reliability.

[0055] In some specific embodiments, the multi-water quality parameter probe includes: online automatic monitoring equipment for groundwater flow field and groundwater quality monitoring equipment.

[0056] In some specific embodiments, the model of the groundwater flow field online automatic monitoring device is Level ine-mini-CTD, which is used for automatic long-term monitoring of groundwater level, water temperature and conductivity. The instrument uses a high-precision piezoresistive ceramic pressure sensor and a four-electrode conductivity sensor. Standard data protocol, LevelLine can measure absolute pressure or gauge pressure, water temperature and conductivity up to 100m deep by integrating and installing into a third-party monitoring system. Its related parameters are shown in Table 1.

[0057] Table 1

[0058]

[0059]

[0060] The dynamic change data of groundwater level, temperature, conductivity, etc. are measured through the online monitoring system to provide data support for the establishment of groundwater flow model. The groundwater flow field monitoring indicators are shown in Table 2.

[0061] Table 2

[0062]

[0063] In some specific embodiments, the groundwater quality monitoring device is an AP-2000 portable multi-parameter water quality analyzer. The AP2000 host has a built-in GPS system and can store 3,000 monitoring data. Its related parameters are shown in Table 3.

[0064] Table 3

[0065]

[0066]

[0067] In this embodiment, the AP2000 water quality multi-parameter analyzer is mainly used for some conventional water chemical parameters in groundwater, such as pH, negative oxidation-reduction potential (ORP), total dissolved solids (TDS), optical dissolved oxygen (DO), etc. Table 4 lists the range and accuracy of some detectable items.

[0068] Table 4

[0069]

[0070] In some specific embodiments, the groundwater level, water temperature, conductivity, pH, negative redox potential, total dissolved solids, and optical dissolved oxygen values ​​of the hydrogeological environment of the contaminated site are obtained to provide data support for the three-dimensional numerical model. The present invention provides a hypothetical case, which is as follows:

[0071] Case: Perform three-dimensional site pollution source inversion or model parameter calibration based on groundwater monitoring data to improve model prediction capabilities.

[0072] Scenario setting: Assume that a pollutant leak occurs somewhere in a site. The scale of the polluted area in the horizontal direction is 50m×30m and homogeneous. During the simulation, the plane area is discretized into a uniform grid of 25 rows and 15 columns. In the vertical direction, the elevation of the top of the site is 2m, and the elevation of the bottom is -10m. It can be divided into three strata. The corresponding stratum parameters are shown in Table 5. The left and right boundaries of the simulation area are fixed head boundaries (1.5m on the left and 0m on the right), and the upper and lower boundaries are no-flux boundaries. The initial head of the whole area is 1.5m. The pollutant leakage point is located at (row 7, column 5, layer 1), and the leakage volume is 5m3 / d. Among them, the concentration of the leaked chlorobenzene pollutant is 50mg / L. The leakage days are 30 days, after which measures are taken to terminate the pollution source. The porosity during pollutant migration is 0.3, the longitudinal dispersion is 0.5m, the ratio of the lateral dispersion to the longitudinal dispersion (TRPT) is 0.1, and the ratio of the vertical dispersion to the longitudinal dispersion (TRVT) is 0.01. A non-steady-state simulation was performed in this scenario, with a simulation duration of 100 days, of which pollutants flowed in during the first 30 days.

[0073] Table 5

[0074]

[0075] In order to obtain the monitoring data required for the inversion model, it is assumed that three monitoring wells are set up in the contaminated site, and their coordinates are J1 (7, 9, 1), J2 (6, 15, 2) and J3 (9, 20, 1) (the third digit represents the monitored stratum). The schematic diagram of the plane position of the pollution source and the monitoring well is shown in Figure 2 shown.

[0076] Through simulation, it can be seen that when other conditions remain unchanged, when the pollution leakage is 5m 3 / d, when the pollutant concentration is 50mg / L, the pollutant concentrations at the three monitoring wells after 100 days of simulation are C1 (34.27mg / L), C2 (0.65mg / L), and C3 (1.32mg / L). Then, assuming that this result is used as part of the monitoring data (this is a simple example, so the amount of data is small), the pollution source strength (leakage amount and leakage concentration) is inverted to accurately determine the pollution source information and achieve accurate pollution plume prediction.

[0077] The case uses genetic algorithms to trace the source of the groundwater three-dimensional model based on the above "monitoring data". The amount of pollutant leakage at the pollution source obtained by inversion is 5.05m 3 / d, compared with the true value of 5m3 / d, the simulated value is only 1% higher than the true value; the pollutant leakage concentration obtained by inversion is 49.63mg / L, compared with the true value of 50mg / L, the simulated value is only 0.7% lower than the true value. The root mean square error (RSME) of the final simulation result is 0.05, and the inversion result is relatively accurate.

[0078] From this, it can be judged that based on the online monitoring data, groundwater pollution can be traced and groundwater three-dimensional model parameters can be optimized, thereby achieving more accurate pollution prediction.

[0079] It should be understood that professional equipment can provide high-precision monitoring data, which is crucial to ensure the accuracy and reliability of the three-dimensional numerical model. Equipment such as Leveline-mini-CTD has the ability to automatically monitor for a long time, which can continuously track changes in groundwater conditions and provide time series data for the model. Online automatic monitoring equipment can transmit data in real time to ensure that the data used in the model is the latest, which helps to reflect the dynamic changes of groundwater in a timely manner. Accurate monitoring data can help the model better predict groundwater flow and pollutant migration, and improve the model's predictive ability. With accurate field monitoring data, the model can be calibrated more effectively to ensure that the model output is consistent with the actual situation. By analyzing the monitoring data, the risk of groundwater pollution can be better assessed and corresponding risk management measures can be formulated. Models based on these data can provide a scientific basis for decision makers to help them formulate more effective groundwater protection and governance strategies. Accurate monitoring data can help governments and companies demonstrate their environmental compliance and provide support for the formulation of environmental protection policies and regulations. These data can provide a basis for the research of groundwater pollution control technologies and promote scientific research and technological innovation. Monitoring data and model results can be used as tools for education and training to help students and new professionals better understand the complexity of groundwater systems. Using professional groundwater flow field online automatic monitoring equipment and groundwater quality monitoring equipment to provide data support for three-dimensional numerical models can significantly improve the accuracy and reliability of the model and provide a powerful tool for the monitoring, protection and management of groundwater resources.

[0080] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A groundwater modeling method based on online data monitoring system, It is characterized in that include: Obtain the hydrogeological environment of the contaminated site; Select several locations based on the hydrogeological environment of the contaminated site to set up an online data monitoring system for groundwater pollution; A detection point network of the contaminated site is formed based on a number of locations selected based on the hydrogeological environment of the contaminated site and an online data monitoring system corresponding to the number of locations; The monitoring center obtains the site values ​​detected by the detection point network in real time and establishes a three-dimensional numerical model based on the site values.

2. A groundwater modeling method based on an online data monitoring system according to claim 1, It is characterized in that Before selecting several locations based on the hydrogeological environment of the contaminated site, it is necessary to confirm the pollutant components in the hydrogeological environment of the contaminated site and the main pollution sources in the hydrogeological environment of the contaminated site.

3. A groundwater modeling method based on an online data monitoring system according to claim 1, It is characterized in that The detection point network of the polluted site is set up in a place that can connect to the urban residential area, industrial and mining enterprise area and existing and planned water supply sources where the polluted site is located.

4. A groundwater modeling method based on an online data monitoring system according to claim 2, It is characterized in that Based on the hydrogeological environment of the contaminated site, contaminated water samples are obtained, and the contaminated water sample values ​​are obtained by testing and analyzing the contaminated water samples. According to the pollution severity obtained by comparing the contaminated water sample values ​​with the pollution degree pre-threshold, a detection point network with corresponding density is set.

5. A groundwater modeling method based on an online data monitoring system according to claim 4, It is characterized in that The pollution level pre-threshold is the value of water samples in non-polluted areas.

6. A groundwater modeling method based on an online data monitoring system according to claim 1, It is characterized in that The online data monitoring system includes multiple water quality parameter probes and a data communication host. The monitoring center station exchanges information with the multiple water quality parameter probes via a wireless network in the data communication host to complete the recovery of monitoring data and the management of monitoring equipment.

7. A groundwater modeling method based on an online data monitoring system according to claim 6, It is characterized in that The multi-water quality parameter probe comprises: groundwater flow field online automatic monitoring equipment and groundwater quality monitoring equipment.

8. A groundwater modeling method based on an online data monitoring system according to claim 7, It is characterized in that The model of the groundwater flow field online automatic monitoring equipment is Leveline-mini-CTD, which is used for automatic long-term monitoring of groundwater level, water temperature and conductivity.

9. A groundwater modeling method based on an online data monitoring system according to claim 8, It is characterized in that The groundwater quality monitoring equipment is an AP-2000 portable multi-parameter water quality analyzer, which is used to detect pH, negative redox potential, total dissolved solids, and optical dissolved oxygen in groundwater.

10. A groundwater modeling method based on an online data monitoring system according to claim 9, It is characterized in that Based on the groundwater level, water temperature, conductivity, pH, negative redox potential, total dissolved solids, and optical dissolved oxygen values ​​of the hydrogeological environment of the contaminated site, data support is provided for the three-dimensional numerical model.

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