Three-dimensional visual management system and method for underground water resources

Abstract

The invention discloses a three-dimensional visual management system and method for groundwater resources, and relates to the field of groundwater resource management and pollution control, and the system comprises a groundwater data obtaining module which is used for obtaining groundwater dynamic monitoring data of a target area in real time; the underground water environment digital twinborn model construction module is used for constructing an underground water environment digital twinborn model based on the underground water dynamic monitoring data; the underground water change and pollution control simulation module is used for carrying out numerical simulation on underground water resource and pollutant migration based on the underground water environment digital twinborn model, carrying out pollution control area division and formulating a corresponding underground water remediation scheme; and the decision support and knowledge management module is used for integrating groundwater dynamic monitoring data, the groundwater environment digital twinborn model, the divided pollution control area and the corresponding groundwater remediation scheme, and realizing data storage, three-dimensional display, data evaluation and user interaction. According to the invention, efficient management and pollution control of underground water resources can be realized.

Description

Technical Field

[0001] This application relates to the field of groundwater resource management and pollution prevention and control, and particularly to a three-dimensional visualization management system and method for groundwater resources. Background Art

[0002] Establishing a long-term groundwater monitoring system in groundwater management can facilitate the real-time acquisition of the physical, chemical, biological and other dynamic change characteristics of complex groundwater environments, timely adjust relevant measures for groundwater extraction and treatment, and also provide scientific guidance for decision-makers. With the rapid development of social economy, the quality of groundwater has been deteriorating with the rapid development of regional industrialization and urbanization, and its pollution has become a worldwide environmental problem. In addition, the unreasonable development and utilization of groundwater resources have led to waste of water resources and ecological damage. Therefore, there is an urgent need for efficient and scientific management methods to solve this problem, determine the restoration plan for groundwater aquifer pollution, and effectively control and reduce pollutant emissions. Summary of the Invention

[0003] The purpose of this application is to provide a three-dimensional visualization management system and method for groundwater resources, which can achieve efficient management and pollution prevention and control of groundwater resources.

[0004] To achieve the above purpose, this application provides the following solutions:

[0005] In the first aspect, this application provides a three-dimensional visualization management system for groundwater resources, including:

[0006] A groundwater data acquisition module, configured to: acquire real-time dynamic monitoring data of groundwater in a target area; the dynamic monitoring data of groundwater includes water level data, water quality data, geological data, topographic and geomorphic data, and meteorological data;

[0007] A groundwater environment digital twin model construction module, configured to: construct a digital twin model of the groundwater environment in the target area based on the dynamic monitoring data of groundwater;

[0008] A groundwater change and pollution prevention and control simulation module, configured to: perform numerical simulations of groundwater resources and pollutant migration based on the digital twin model of the groundwater environment, divide pollution prevention and control areas, and formulate corresponding groundwater restoration plans;

[0009] A decision support and knowledge management module, configured to: integrate the dynamic monitoring data of groundwater, the digital twin model of the groundwater environment, the divided pollution prevention and control areas, and the corresponding groundwater restoration plans to achieve data storage, three-dimensional display, data evaluation, and user interaction.

[0010] In the second aspect, this application provides a three-dimensional visualization management method for groundwater resources, including:

[0011] The groundwater data acquisition module is used to obtain the dynamic monitoring data of groundwater in the target area in real time; the dynamic monitoring data of groundwater includes water level data, water quality data, geological data, topographic and geomorphic data, and meteorological data;

[0012] The groundwater environment digital twin model construction module is used to construct the groundwater environment digital twin model of the target area based on the dynamic monitoring data of groundwater;

[0013] The groundwater change and pollution prevention simulation module is used to perform numerical simulations of the migration of groundwater resources and pollutants based on the groundwater environment digital twin model, divide the pollution prevention areas, and formulate corresponding groundwater remediation plans;

[0014] The decision support and knowledge management module is used to integrate the dynamic monitoring data of groundwater, the groundwater environment digital twin model, the divided pollution prevention areas, and the corresponding groundwater remediation plans to achieve data storage, three-dimensional display, data evaluation, and user interaction.

[0015] According to the specific embodiments provided in the present application, the present application has the following technical effects: The present application provides a three-dimensional visualization management system and method for groundwater resources. By combining the groundwater data acquisition module, the groundwater environment digital twin model construction module, and the groundwater change and pollution prevention simulation module, digital simulation of groundwater is realized, enabling users to timely understand the data changes in the groundwater environment and quickly make simulation predictions, thereby achieving efficient management and pollution prevention of groundwater resources, improving the protection and sustainable utilization level of regional groundwater resources, providing scientific and technological support and decision-making basis for groundwater resource management, and promoting regional water resource protection and environmental sustainable development. In addition, in the present application, the above three modules are linked and integrated through the decision support and knowledge management module to achieve system integration, and a complete management system with multiple functions such as comprehensive data storage, three-dimensional display, data evaluation, and user interaction is obtained. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 It is a schematic diagram of a three-dimensional visualization management system for groundwater resources provided by an embodiment of the present application.

[0018] Figure 2Schematic diagram of the data processing flow in the groundwater data acquisition module provided by another embodiment of the present application.

[0019] Figure 3 Schematic diagram of the three-dimensional visualization management system for groundwater resources provided by another embodiment of the present application. Detailed implementation manners

[0020] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0021] The present application utilizes existing hydrogeological data, combines advanced technologies such as Geographic Information System (GIS) and the Internet of Things, constructs a comprehensive and accurate groundwater decision support and development system, realizes the efficient management and pollution prevention of groundwater resources, promotes the sustainable utilization of groundwater, provides technical support for regional groundwater protection and reasonable development and utilization, and thus improves the quality of public life and the sustainable development ability of the regional society.

[0022] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0023] In an exemplary embodiment, as Figure 1 shown, a three-dimensional visualization management system for groundwater resources is provided, including a groundwater data acquisition module, a groundwater environment digital twin model construction module, a groundwater change and pollution prevention simulation module, and a decision support and knowledge management module. The system can be set in a terminal or a server to execute the corresponding processing flow.

[0024] The groundwater data acquisition module is used for: acquiring real-time groundwater dynamic monitoring data of the target area; the groundwater dynamic monitoring data includes water level data, water quality data, geological data, topographic and geomorphic data, and meteorological data. Specifically, the groundwater data acquisition module includes a remote sensing unit, an Internet of Things unit, an Internet of Things optimization unit, and a meteorological unit.

[0025] The remote sensing unit is used for: based on satellite remote sensing technology, interpreting and acquiring geological data, topographic and geomorphic data, and meteorological data from the remote sensing images of the target area. The satellite remote sensing technology adopted by the present application can effectively acquire formation structure, lithology, hydrogeological information, and meteorological data.

[0026] The Internet of Things unit is used to: obtain water quality data and water level data from a groundwater monitoring network preset in the target area based on Internet of Things technology; water quality monitoring instruments and / or water level recording instruments are provided at each monitoring node of the groundwater monitoring network. Through Internet of Things technology, multi-parameter water quality monitoring instruments and underground water level automatic recorders are used for accurate data collection and transmission. The core of this setting lies in using a wireless sensor network to achieve real-time data collection and remote transmission, thereby improving the real-time performance and accuracy of monitoring. The goal of this setting is to develop an efficient groundwater dynamic monitoring technology to accurately collect key data such as the groundwater level and water quality in the target area. During the water quality monitoring process, efforts are made to ensure high data accuracy, accurate data, timely reports, easy data access, and integrity. However, traditional monitoring systems have deficiencies in real-time detection of pollutants / contaminants and cannot meet the strict requirements of high-precision water quality monitoring. Therefore, this application uses different types of wireless sensor nodes to monitor water quality in real time. Intelligent water sensors and intelligent water ion sensor devices are deployed in representative monitoring wells to measure physical and chemical parameters. Combining remote sensing technology and automated Internet of Things monitoring technology, groundwater dynamic data is collected, including information such as water level changes, water quality parameters (such as ion concentration, conductivity, pH value), and geological structures, and the data is transmitted. Through continuous wireless sensing, the measured values per hour, per day, and per month are transmitted to a storage location in real time for trend analysis of the data.

[0027] The Internet of Things optimization unit is used to: optimize the monitoring nodes of the groundwater monitoring network in the target area by combining principal component analysis and Kriging variance analysis. As Figure 2 shown, in the groundwater data acquisition module, regional water resources acquisition based on remote sensing is achieved through the remote sensing unit to obtain natural geography, hydrogeology, and meteorological data; after that, automatic water quality monitoring based on wireless sensors is achieved through the Internet of Things unit to obtain water quality parameters; through the Internet of Things optimization unit, optimization of the groundwater pollution monitoring network, optimization of the regional-scale monitoring network, regional groundwater pollution investigation and analysis of influencing factors, optimization of the groundwater monitoring site positions in the region based on the variance reduction method using comprehensive environmental factors, and optimization of the monitoring components based on the established arithmetic superposition model are achieved, thereby completing the optimization of the groundwater pollution monitoring site positions and monitoring components in the region.

[0028] In summary, in this application, a groundwater data acquisition module is set up to use remote sensing technology, groundwater monitoring wells, and automated Internet of Things monitoring technology to collect groundwater dynamic data, including information such as water level changes, water quality parameters, and geological structures, so as to achieve real-time monitoring of groundwater flow and water quality parameters.

[0029] The groundwater environment digital twin model construction module is used to: construct a digital twin model of the groundwater environment in the target area based on the groundwater dynamic monitoring data. Specifically, using the real-time groundwater monitoring data collected by the groundwater data acquisition module, considering various factors such as geographical climate, hydrogeology, and human activities, a high-precision and dynamic groundwater resource management tool is constructed, that is, the groundwater environment digital twin model. This model uses physical models, Internet of Things technology, and big data analysis technology to simulate dynamic processes such as groundwater flow, water quality change, and resource quantity change, greatly improving the accuracy and response speed of groundwater management. This application also continuously optimizes and corrects the model parameters through field observation data and historical materials to adapt to the complexity and variability of the groundwater environment. As Figure 3 shown, the groundwater environment digital twin model construction module includes a big data unit, a physical simulation unit (corresponding to Figure 3 the module for model construction in Figure 3 ), a model optimization unit (corresponding to

[0030] the module for model optimization and correction in

[0031] ), and an integration and application development unit.

[0032] The model optimization unit is used to: optimize and update the groundwater environment digital twin model based on machine learning technology. Specifically, the parameters of the groundwater environment digital twin model can also be continuously optimized and corrected through field observation data and collected historical materials to ensure the accuracy and adaptability of the model. This includes but is not limited to using feedback adjustment algorithms and model adaptability analysis to adapt to the complexity and variability of the groundwater environment.

[0033] The integration and application development unit is used to: establish a link with the decision support and knowledge management module, so that the groundwater environment digital twin model can not only accurately simulate the groundwater environment, but also be integrated into the decision support and knowledge management module to improve its practicality and user-friendliness

[0034] In summary, this application sets up a digital twin model construction module for the groundwater environment, using machine learning, physical simulation, and data analysis technologies to construct and optimize a highly accurate and adaptable digital twin model of the groundwater environment, so as to comprehensively reflect the dynamic changes of groundwater and address various challenges in groundwater resource management. Through independent measurement and expression of the accuracy, real-time performance, and detailed display of the above model, and through load testing, stress testing, etc., the stable operation of the model is ensured.

[0035] The groundwater change and pollution prevention and control simulation module is used for: based on the digital twin model of the groundwater environment, conducting numerical simulations of groundwater resources and pollutant migration, dividing pollution prevention and control areas, and formulating corresponding groundwater remediation plans. The groundwater change and pollution prevention and control simulation module includes a change simulation unit, a groundwater remediation unit, and a zoning unit, and conducts research by combining means such as hydrochemical analysis, statistical analysis, spatial analysis, and numerical simulation. Among them, according to the dynamic monitoring data of the groundwater level, combined with hydrometeorological, hydrogeological and other data, analyze the characteristics, change processes, and influencing factors of the groundwater level fluctuations in the study area at different times, and provide a basic hydrodynamic background for the migration and transformation of salts and pollutants in the study area.

[0036] The change simulation unit is used for: based on the digital twin model of the groundwater environment, constructing an aquifer system and a constant source pollution scenario, using numerical simulation technology and orthogonal experimental design, analyzing the main control factors of pollution plume stability with the stable area, stable concentration, and stable required time of the pollution plume as characteristic factors, establishing a multiple statistical regression model between the characteristic factors of pollution plume stability and the main control factors, obtaining a prediction model for the characteristic factors of pollution plume stability, and establishing a groundwater solute transport model.

[0037] Among them, the numerical simulation technology, combined with Figure 3 As shown, specifically: in the hydrogeological conceptual model part, use VisualModFlow software to conduct numerical simulations of the aquifer systems in each region within the target area according to the steps of aquifer systematization, boundary condition generalization, calculation area division, definite solution condition processing, simulation period selection, and source-sink item processing, identify the hydrogeological parameters of each region, and determine the exploitable amount data and groundwater resource data of groundwater resources, and obtain a groundwater flow model. At the same time, construct the chemical evolution and water quality characteristics of shallow groundwater, and then obtain the reasons for the chemical and water quality changes of shallow groundwater; then combine with the groundwater flow model to obtain a groundwater solute transport model.

[0038] The groundwater remediation unit is used to: based on the pollution plume stability characteristic factor prediction model and the groundwater solute transport model, establish a groundwater pollution prevention and control zoning system and a groundwater pollution control and remediation technology screening and evaluation system. Focusing on the core issue of the impact of human activities on the evolution of the groundwater chemical field, research is carried out by combining means such as hydrochemical analysis, statistical analysis, spatial analysis, and numerical simulation. It can be known that it includes a regional-scale subunit and a site-scale subunit.

[0039] The regional-scale subunit is used to: at the regional scale, analyze the temporal and spatial evolution laws of the major components (seven major ions) and trace components (heavy metals) of groundwater and identify the main control factors, reveal the response mechanism of the groundwater chemical field to human activities, and based on the pollution load and the groundwater anti-pollution performance, construct a groundwater pollution prevention and control zoning system at the regional scale. The site-scale subunit is used to: at the site scale, based on the multi-objective decision-making analysis method, establish a groundwater pollution control and remediation technology screening and evaluation system.

[0040] In the groundwater pollution prevention and control zoning system at the regional scale, according to the distribution type and density of pollution sources, comprehensive analysis is carried out using quantitative or qualitative methods, and the toxicity of pollutants, the release probability of pollution sources, and the pollutant release amount are considered respectively to calculate the load value of a single pollution source.

[0041] The zoning unit is used to: based on the groundwater pollution prevention and control zoning system, use the comprehensive index method to divide multiple pollution prevention and control areas of different levels, and screen out the pollution prevention and control areas to be repaired and treated, and determine the corresponding groundwater remediation plan according to the groundwater pollution control and remediation technology screening and evaluation system. Specifically, on the basis of the groundwater anti-pollution performance, the pollution source load value, and the groundwater function evaluation, multiple pollution prevention and control areas of different levels such as key prevention and control areas, medium prevention and control areas, general prevention and control areas, and natural prevention and control areas are evaluated by the comprehensive index method. On this basis, according to the existing investigation and evaluation results, the sites that need to be repaired and treated within the target area are selected.

[0042] In summary, this application sets up a groundwater change and pollution prevention and control simulation module, uses advanced models and technologies to analyze the change of groundwater depth and its influencing factors, conducts numerical simulation of groundwater resources and pollutant migration using VisualModFlow software, formulates a groundwater remediation plan, and conducts pollution prevention and control zoning, constructs a regional groundwater pollution prevention and control zoning system and a pollution control and remediation technology screening and evaluation system, realizes accurate prediction of the dynamic change of groundwater depth, and designs an effective pollution prevention and control plan.

[0043] The decision support and knowledge management module is used to: integrate the groundwater dynamic monitoring data, the groundwater environment digital twin model, the divided pollution prevention and control areas, and the corresponding groundwater remediation plans, so as to achieve data storage, three-dimensional display, data evaluation, and user interaction. The decision support and knowledge management module includes a knowledge base unit, a visualization unit, an evaluation unit, and a user interaction unit, to achieve efficient and scientific multi-functional decision support.

[0044] The knowledge base unit is used to: build a knowledge base to store and manage the groundwater dynamic monitoring data, the groundwater environment digital twin model, the divided pollution prevention and control areas, and the corresponding groundwater remediation plans. Specifically, build a stable and efficient data warehouse to support the storage and management of massive groundwater data, and use advanced languages such as Lisp to build a knowledge-driven reasoning and decision-making module to achieve intelligent decision support.

[0045] Collect, organize, and summarize the key data, case studies, experiences, and best practices of groundwater management through the built knowledge base to build a knowledge base covering a wide range of contents. This knowledge base will serve as a continuously updated and shared resource, aiming to improve the overall level and professional ability of groundwater management. The above settings can improve the decision-making efficiency and scientificity, integrate data and information, and promote the dissemination and application of knowledge.

[0046] The visualization unit is used to: adopt the three-dimensional visualization technology based on WebqL to visually display the groundwater dynamic monitoring data, the groundwater environment digital twin model, the groundwater flow process, water quality change process, and resource quantity change process simulated by the groundwater environment digital twin model, the divided pollution prevention and control areas, and the corresponding groundwater remediation plans, so as to intuitively display the dynamic processes such as groundwater flow and water quality change to users, ensure the intuitive presentation of complex data and models, and assist users in making more in-depth analysis and decisions. The visualization unit also supports big data analysis and processing, and ensures the timeliness and accuracy of management decisions through continuous data updates and model predictions.

[0047] The evaluation unit is used to evaluate the model accuracy, user satisfaction, data processing ability, and stability of the digital twin model of the groundwater environment. Model accuracy is a key indicator for evaluating the success of a digital twin model and will be evaluated by comparing the display effect of the digital twin model of the groundwater environment with the measured data. User satisfaction, as a criterion for evaluating the usability and functional integrity of the digital twin model of the groundwater environment, will collect feedback through user research and case studies. Data processing ability and system stability are also important evaluation indicators and will be evaluated through a big data test platform and a system performance monitoring program. Through these scientific and rigorous evaluation methods, the high accuracy, high efficiency, and high stability of the digital twin model of the groundwater environment are ensured, providing strong technical support for the groundwater resource management in the target area.

[0048] In addition, the functional integrity and usability, decision-making effect, comprehensiveness and usage frequency of the knowledge base, etc. can also be evaluated, so as to more comprehensively evaluate the performance and application effect of the system. The evaluation methods adopted combine various means such as system testing, case analysis, and user research to ensure the comprehensiveness and accuracy of the evaluation. Through these scientific and rigorous evaluation activities, solid technical and knowledge support will be provided for the protection and sustainable utilization of groundwater resources in the study area, promoting the scientific and technological progress and social development of water resource management.

[0049] More specifically, for the groundwater dynamic monitoring data collected by the groundwater data acquisition module, it is evaluated through indicators such as data accuracy, coverage rate, update frequency, and technical stability; for the high-precision digital twin model of the groundwater environment constructed by the digital twin model construction module of the groundwater environment, the stable operation of the model is ensured through load testing, stress testing, etc. of the model; for the numerical simulation and pollution prevention and control area division in the groundwater change and pollution prevention and control simulation module, it is evaluated through indicators such as the implementation effect of the strategy, improvement of resource utilization efficiency, and pollution control achievements.

[0050] The user interaction unit is used to: set up a user interface to provide the user with the query function of the groundwater dynamic monitoring data, the construction and invocation function of the digital twin model of the groundwater environment, and the query function of the divided pollution prevention and control areas and the corresponding groundwater remediation plans. Specifically, fully considering the user experience, functions such as data query, model simulation, strategy evaluation, and risk warning are provided through an easy-to-use user interface, enabling users to conveniently obtain information, run models, formulate strategies, and evaluate decision-making effects.

[0051] In summary, the present application sets up a decision support and knowledge management module, which can support the implementation of functions such as data management, model operation, policy formulation, and user interface. That is, by adopting advanced software engineering technology and database technology, combined with the data provided by the other three modules, a highly integrated and modular decision support system is constructed. At the same time, a knowledge base is built to collect and manage the relevant knowledge and information of groundwater management. Finally, comprehensive evaluation can be carried out through indicators such as the reliability of the system, user satisfaction, functional integrity, and knowledge management effectiveness. That is, this module is established after the data processing and integration of the first three modules and is used for multi-functional comprehensive decision support, which can effectively improve the efficiency and scientificity of groundwater resource management decisions, and reduce resource waste and environmental damage caused by improper decisions. Among them, the data and information integration function of the knowledge base can solve the problems of scattered data and difficult information integration in existing groundwater management, and provide comprehensive and integrated data services; the construction of the knowledge management mechanism will promote the wide spread and application of groundwater management knowledge, and improve the professional level and decision-making ability of managers and relevant personnel.

[0052] In a specific application example, the groundwater change and pollution prevention and control simulation module further includes an early warning unit, which is used for: carrying out pollution risk early warning based on the divided pollution prevention and control areas, and displaying it to users through the user interface in the user interaction unit to achieve early warning.

[0053] Compared with the prior art, the present application has the following advantages: improving decision-making efficiency and scientificity, integrating data and information, promoting knowledge dissemination and application, effectively improving the efficiency and scientificity of groundwater resource management decisions, and reducing resource waste and environmental damage caused by improper decisions. The present application can realize the efficient management and pollution prevention and control of groundwater resources, improve the protection and sustainable utilization level of regional groundwater resources, and at the same time provide scientific and technological support and decision-making basis for groundwater resource management, and promote regional water resource protection and environmental sustainable development.

[0054] Based on the same inventive concept, the embodiment of the present application also provides a three-dimensional visualization management method for groundwater resources. The implementation solutions provided by this method to solve problems are similar to the implementation solutions described in the above system. Therefore, the specific limitations in one or more method embodiments provided below can refer to the limitations on the system in the above text and will not be repeated here. The three-dimensional visualization management method for groundwater resources of the present application includes:

[0055] Step 100, using the groundwater data acquisition module to obtain the groundwater dynamic monitoring data of the target area in real time; the groundwater dynamic monitoring data includes water level data, water quality data, geological data, topographic and geomorphic data, and meteorological data.

[0056] Step 200: Use the groundwater environment digital twin model construction module to construct the groundwater environment digital twin model of the target area based on the groundwater dynamic monitoring data.

[0057] Step 300: Use the groundwater change and pollution prevention simulation module to perform numerical simulations of the migration of groundwater resources and pollutants based on the groundwater environment digital twin model, divide the pollution prevention areas, and formulate corresponding groundwater remediation plans.

[0058] Step 400: Use the decision support and knowledge management module to integrate the groundwater dynamic monitoring data, the groundwater environment digital twin model, the divided pollution prevention areas, and the corresponding groundwater remediation plans to achieve data storage, three-dimensional display, data evaluation, and user interaction.

[0059] This application uses a hydrogeological conceptual model and a mathematical model to establish a groundwater model, simulate the diffusion of a pollution plume and source-sink term analysis under a constant source scenario, and use SPSS software to perform multiple stepwise regression analysis to establish a prediction model for the stability characteristic factors of the pollution plume, a three-dimensional water flow prediction model, and a solute transport prediction model; through a comprehensive analysis of the groundwater remediation decision-making process for polluted sites, a comprehensive decision-making method and a comprehensive evaluation index system for progressive zoning of groundwater remediation technologies for sites are established; a groundwater management model based on the Internet of Things and GIS technology for real-time collection, three-dimensional modeling, storage, retrieval, operation, analysis, and visualization is created, which can provide rapid deduction analysis and scheme comparison for water resource allocation management decisions, effectively enhance the water resource management ability, and solve the problems of scarce, overexploited, and polluted groundwater resources.

[0060] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0061] Specific examples are used in this article to elaborate on the principles and implementation methods of this application. The descriptions of the above embodiments are only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A three-dimensional visualization management system for groundwater resources, characterized in that: The three-dimensional visualization management system of groundwater resources includes: The groundwater data acquisition module is used to: acquire the groundwater dynamic monitoring data of the target area in real time; the groundwater dynamic monitoring data includes water level data, water quality data, geological data, topographic data and meteorological data; A groundwater environment digital twin model construction module is used to: construct a groundwater environment digital twin model of the target area based on the groundwater dynamic monitoring data; The groundwater change and pollution prevention simulation module is used to: perform numerical simulation of groundwater resources and pollutant migration based on the groundwater environment digital twin model, divide the pollution prevention area and formulate corresponding groundwater remediation plans; The decision support and knowledge management module is used to: integrate the groundwater dynamic monitoring data, the groundwater environment digital twin model, the divided pollution prevention and control areas and the corresponding groundwater remediation plan, and realize data storage, three-dimensional display, data evaluation and user interaction.

2. The three-dimensional visualization management system of groundwater resources according to claim 1 is characterized in that: The groundwater data acquisition module specifically includes: A remote sensing unit is used to: interpret and obtain geological data, topographic data and meteorological data from remote sensing images of the target area based on satellite remote sensing technology; The Internet of Things unit is used to: obtain water quality data and water level data from a groundwater monitoring network preset in the target area based on the Internet of Things technology; water quality monitoring instruments and / or water level recording instruments are set at each monitoring node of the groundwater monitoring network.

3. The three-dimensional visualization management system of groundwater resources according to claim 2 is characterized in that: The groundwater data acquisition module also includes: The Internet of Things optimization unit is used to optimize the monitoring nodes of the groundwater monitoring network in the target area by combining principal component analysis and Kriging variance analysis.

4. The three-dimensional visualization management system of groundwater resources according to claim 1 is characterized in that: The groundwater environment digital twin model construction module specifically includes: A big data unit is used to: process the groundwater dynamic monitoring data based on big data technology to extract key groundwater data; A physical simulation unit is used to: construct a groundwater environment digital twin model based on the groundwater key data to simulate the groundwater flow process, water quality change process and water resource quantity change process; The model optimization unit is used to optimize and update the groundwater environment digital twin model based on machine learning technology.

5. The three-dimensional visualization management system of groundwater resources according to claim 1 is characterized in that: The groundwater change and pollution prevention simulation module specifically includes: A change simulation unit is used to: construct an aquifer system and a constant source pollution scenario based on the groundwater environment digital twin model, use numerical simulation technology and orthogonal experimental design to analyze the main control factors of the pollution plume stability with the pollution plume stable area, stable concentration and stable time as characteristic factors, establish a multivariate statistical regression model between the pollution plume stability characteristic factors and the main control factors, obtain a pollution plume stability characteristic factor prediction model, and establish a groundwater solute migration model; A groundwater remediation unit is used to: establish a groundwater pollution prevention and control zoning system and a groundwater pollution control and remediation technology screening and evaluation system based on the pollution plume stability characteristic factor prediction model and the groundwater solute migration model; The zoning unit is used to: based on the groundwater pollution prevention and control zoning system, use the comprehensive index method to divide a number of pollution prevention and control zones of different levels, and screen out the pollution prevention and control zones to be repaired and treated, and determine the corresponding groundwater remediation plan based on the groundwater pollution control and remediation technology screening and evaluation system.

6. The three-dimensional visualization management system for groundwater resources according to claim 5, characterized in that: The groundwater remediation unit specifically comprises: The regional scale subunit is used to: analyze the spatiotemporal evolution of groundwater macro-components and groundwater trace components at the regional scale and identify the main controlling factors, reveal the response mechanism of groundwater chemical field to human activities, and build a regional scale groundwater pollution prevention and control zoning system based on pollution load and groundwater anti-pollution performance; The site-scale subunit is used to establish a screening and evaluation system for groundwater pollution control and remediation technologies based on multi-objective decision analysis at the site scale.

7. The three-dimensional visualization management system of groundwater resources according to claim 6, characterized in that: In the groundwater pollution prevention and control zoning system at the regional scale, quantitative or qualitative methods are used for comprehensive analysis based on the distribution type and density of pollution sources, and the toxicity of pollutants, the probability of pollution source release and the amount of pollutant release are considered respectively to calculate the load value of a single pollution source.

8. The three-dimensional visualization management system of groundwater resources according to claim 1 is characterized in that: The decision support and knowledge management module specifically includes: A knowledge base unit is used to: construct a knowledge base to store and manage the groundwater dynamic monitoring data, the groundwater environment digital twin model, the divided pollution prevention and control areas and the corresponding groundwater remediation plan; A visual unit is used to: use a three-dimensional visualization technology based on WebqL to visualize the groundwater dynamic monitoring data, the groundwater environment digital twin model, the groundwater flow process, water quality change process and resource quantity change process simulated by the groundwater environment digital twin model, the divided pollution prevention and control areas and the corresponding groundwater remediation plan; An evaluation unit, used to: evaluate the model accuracy, user satisfaction, data processing capability and stability of the groundwater environment digital twin model; The user interaction unit is used to: set up a user interface to provide users with query functions for the groundwater dynamic monitoring data, construction and call functions for the groundwater environment digital twin model, and query functions for the divided pollution prevention and control areas and corresponding groundwater remediation plans.

9. The three-dimensional visualization management system for groundwater resources according to claim 8, characterized in that: The groundwater change and pollution prevention simulation module also includes: The early warning unit is used to: issue a pollution risk early warning based on the divided pollution prevention and control areas, and display the early warning to the user through the user interface in the user interaction unit.

10. A three-dimensional visualization management method for groundwater resources, characterized in that: The three-dimensional visualization management method of groundwater resources includes: The groundwater data acquisition module is used to acquire the groundwater dynamic monitoring data of the target area in real time; the groundwater dynamic monitoring data includes water level data, water quality data, geological data, topographic data and meteorological data; Using a groundwater environment digital twin model construction module, based on the groundwater dynamic monitoring data, a groundwater environment digital twin model of the target area is constructed; Using the groundwater change and pollution prevention simulation module, based on the groundwater environment digital twin model, numerical simulation of groundwater resources and pollutant migration is carried out, pollution prevention and control area division is carried out, and corresponding groundwater remediation plans are formulated; A decision support and knowledge management module is used to integrate the groundwater dynamic monitoring data, the groundwater environment digital twin model, the divided pollution prevention and control areas and the corresponding groundwater remediation plan to achieve data storage, three-dimensional display, data evaluation and user interaction.

Images