Groundwater level prediction and exploitation amount regulation method and related device

Abstract

This invention belongs to the field of groundwater extraction control and discloses a method and related device for groundwater level prediction and extraction volume regulation. It obtains the water demand and groundwater level control threshold of a target area; uses the water demand as the groundwater extraction volume and calls a preset groundwater flow numerical simulation model to obtain the predicted groundwater level of the target area based on the water demand; and, based on the groundwater level control threshold, uses the preset groundwater flow numerical simulation model to obtain the maximum groundwater extraction volume of the target area based on the groundwater level control threshold. This achieves two-way quantitative feedback between groundwater level prediction and extraction volume regulation, and integrates historical spatiotemporal water consumption data with historical spatiotemporal groundwater level data. It breaks the limitation of existing methods that independently apply extraction data and water level data, improves the accuracy of groundwater level prediction and the precision of extraction volume regulation, and provides quantitative decision support for the scientific management and sustainable utilization of groundwater resources.

Description

Technical Field

[0001] This invention belongs to the field of groundwater extraction control, and relates to a method and related device for predicting groundwater level and regulating extraction volume. Background Technology

[0002] Arid and semi-arid regions experience scarce annual rainfall and intense evaporation, resulting in underdeveloped surface water systems. Groundwater recharge relies primarily on lateral runoff, and industrial and agricultural activities are highly dependent on groundwater extraction. Especially in arid and semi-arid oasis areas, groundwater is a strategic resource supporting regional economic and social development and ecological security; its development and utilization directly impact the stability and sustainable development of these oases. For a long time, to meet the water demands of industrial and agricultural production, the scale of groundwater extraction has continuously expanded, leading to a general decline in regional groundwater levels. Particularly in concentrated extraction areas, varying degrees of groundwater drawdown cones have formed, triggering a series of ecological and environmental geological problems that seriously threaten oasis ecological security and the sustainable use of water resources.

[0003] To curb groundwater over-extraction and effectively manage groundwater extraction, two important monitoring systems have been deployed in arid and semi-arid oasis areas: First, a well-electricity dual-control monitoring system. By installing flow and electricity monitoring equipment on wells, this system can collect real-time data on instantaneous flow, cumulative water consumption, and cumulative electricity consumption of individual wells, enabling dynamic monitoring of total groundwater extraction and electricity consumption in the region. Second, a groundwater level monitoring system. By deploying automatic water level gauges in monitoring wells, this system records changes in groundwater depth in real-time at hourly or even higher frequencies, dynamically reflecting the fluctuation patterns of regional groundwater levels and real-time flow field distribution.

[0004] The construction and operation of the two systems mentioned above enable real-time quantitative data on groundwater extraction volume and groundwater level in the target area, providing fundamental information support for the dynamic management of groundwater resources. However, these two systems are currently operating independently. The well-electricity dual-control system can only reflect "how much water has been extracted," while the groundwater monitoring system can only reflect "how much the water level has changed." There is a lack of effective technical means to establish a quantitative feedback relationship between the two. Specifically, on the one hand, it is impossible to scientifically predict the dynamic response process of the groundwater level based on changes in extraction volume, resulting in a lack of foresight in water use decisions; on the other hand, it is also impossible to quantitatively determine the permissible extraction volume based on changes in the groundwater level, making it difficult to effectively feed water level monitoring data back to the extraction control stage. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and related apparatus for predicting groundwater level and regulating extraction volume.

[0006] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for predicting groundwater level and regulating extraction volume, comprising: obtaining water demand and groundwater level control threshold of a target area; using water demand as groundwater extraction volume and calling a preset groundwater flow numerical simulation model to obtain a predicted groundwater level of the target area based on water demand; and obtaining the maximum groundwater extraction volume of the target area based on the groundwater level control threshold by calling the preset groundwater flow numerical simulation model, wherein the preset groundwater flow numerical simulation model is constructed based on historical spatiotemporal water demand data, historical spatiotemporal groundwater level data, hydrogeological parameters and stratigraphic structure data of the target area, with groundwater extraction volume as input and groundwater level as calibration basis.

[0007] Optionally, the groundwater flow numerical simulation model is constructed in the following manner: acquiring historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters, and stratigraphic structure data of the target area; establishing a three-dimensional geological model of the target area based on the stratigraphic structure data, and assigning parameter values ​​to the three-dimensional geological model according to the hydrogeological parameters and land use type; establishing a real-time groundwater flow field of the target area based on the historical spatiotemporal groundwater level data, and determining the boundary of the three-dimensional geological model based on the real-time groundwater flow field; wherein, the boundary along the groundwater flow direction is set as the impermeable boundary, and the boundary perpendicular to the groundwater flow direction is set as the head boundary; based on the preset boundary head and parameters, taking groundwater extraction volume as input and groundwater level as calibration basis, and performing model parameter fitting and calibration on the three-dimensional geological model according to the historical spatiotemporal water consumption data and historical spatiotemporal groundwater level data, to obtain the groundwater flow numerical simulation model.

[0008] Optionally, the historical spatiotemporal water consumption data includes the cumulative electricity consumption, cumulative water extraction, instantaneous water extraction flow rate, and location information of each extraction well in the target area; the historical spatiotemporal groundwater level data includes the groundwater level depth and location information of each monitoring well in the target area; the historical spatiotemporal water consumption data is obtained based on the well-electricity dual-control monitoring system of the target area; the historical spatiotemporal groundwater level data is obtained based on the groundwater level monitoring system of the target area.

[0009] Optionally, the hydrogeological parameters include permeability coefficient, elastic release coefficient, and the radius of influence of pumping water from the extraction well; the hydrogeological parameters are obtained through pumping experiments.

[0010] Optionally, the distance between the water head boundary and the monitoring well is at least 50 times the radius of influence of the pumping well.

[0011] Optionally, the stratigraphic structure data includes core data from each production well and monitoring well in the target area; the step of establishing a three-dimensional geological model of the target area based on the stratigraphic structure data includes: encoding the stratigraphic data of the target area based on the core data from each production well and monitoring well in the target area, uniformly encoding the same strata, and importing them into the groundwater simulation system software to construct a three-dimensional geological model of the target area, as well as correcting the surface elevation of the three-dimensional geological model based on remote sensing data and field measurement data.

[0012] Optionally, it also includes updating the model parameters of the preset groundwater flow numerical simulation model based on the spatiotemporal water consumption data, spatiotemporal groundwater level data, and meteorological and climatic condition change information of the target area acquired in real time.

[0013] In a second aspect, the present invention provides a groundwater level prediction and extraction volume control system, comprising: a data acquisition module for acquiring water demand and groundwater level control threshold of a target area; a water level prediction module for using water demand as groundwater extraction volume and calling a preset groundwater flow numerical simulation model to obtain a predicted groundwater level value of the target area based on water demand; and an extraction volume control module for obtaining the maximum groundwater extraction volume of the target area based on the groundwater level control threshold by calling the preset groundwater flow numerical simulation model; wherein the preset groundwater flow numerical simulation model takes groundwater extraction volume as input and groundwater level prediction value as output, and is constructed based on historical spatiotemporal water demand data, historical spatiotemporal groundwater level data, hydrogeological parameters, land use type, and stratigraphic structure data of the target area.

[0014] In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the groundwater level prediction and extraction volume control method.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the groundwater level prediction and extraction volume control method.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention presents a method for predicting groundwater levels and regulating extraction volume. By constructing a numerical simulation model of groundwater flow with groundwater extraction volume as input and groundwater level as calibration, it achieves bidirectional quantitative feedback between groundwater level prediction and extraction volume regulation. On one hand, by using water demand as the extraction volume input model, it can predict the dynamic changes in groundwater level under the given extraction plan, providing a forward-looking basis for water use decisions. On the other hand, by using groundwater level control thresholds as constraint inputs to the model, it can inversely determine the maximum allowable extraction volume, enabling effective feedback of water level monitoring data to the extraction control process. This invention deeply integrates historical spatiotemporal water consumption data with historical spatiotemporal groundwater level data, breaking the limitation of independent application of extraction and water level data in existing methods. It significantly improves the accuracy of groundwater level prediction and the precision of extraction volume regulation, providing quantitative decision support for the scientific management and sustainable utilization of groundwater resources. Attached Figure Description

[0017] Figure 1 This is a flowchart of the groundwater level prediction and extraction volume control method according to an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of a single-well monitoring system for a dual-control monitoring system for well electricity according to an embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram of the data set terminal status of the well-electric dual-control monitoring system according to an embodiment of the present invention.

[0020] Figure 4 This is a schematic diagram of a single-well monitoring system for groundwater monitoring according to an embodiment of the present invention.

[0021] Figure 5 This is a schematic diagram of the terminal status of the groundwater monitoring system water level data set according to an embodiment of the present invention.

[0022] Figure 6 This is a groundwater level contour map showing the difference in water level data from the groundwater monitoring system according to an embodiment of the present invention.

[0023] Figure 7 This is a schematic diagram of a field pumping experiment according to an embodiment of the present invention.

[0024] Figure 8 This is a conceptual diagram of a numerical simulation model for groundwater flow according to an embodiment of the present invention.

[0025] Figure 9 This is a comparison chart of the fitted curve of the monitoring well and the measured curve of the monitoring well in an embodiment of the present invention.

[0026] Figure 10 This is a schematic diagram of the groundwater flow numerical simulation model under different stress periods according to an embodiment of the present invention.

[0027] Figure 11 This is a structural block diagram of the groundwater level prediction and extraction volume control system according to an embodiment of the present invention.

[0028] Among them, 21-wireless transmission system; 22-power monitoring system; 23-flow monitoring system; 24-well pipe; 25-cable; 26-water pump; 27-monitoring well; 41-data cable; 42-water level monitor. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] The present invention will now be described in further detail with reference to the accompanying drawings: See Figure 1 In one embodiment of the present invention, a method for predicting groundwater level and regulating extraction volume is provided. Specifically, it is a groundwater level simulation prediction and extraction volume quantitative regulation technology based on a well-electric dual-control monitoring system and a groundwater monitoring system. This method achieves deep fusion of groundwater extraction volume and groundwater level dynamic change data between the two monitoring systems to predict groundwater level and control groundwater level by controlling extraction volume.

[0032] Specifically, the groundwater level prediction and extraction volume control method of the present invention includes the following steps: S1: Obtain the water demand and groundwater level control threshold for the target area.

[0033] S2: Use water demand as the groundwater extraction volume and call the preset groundwater flow numerical simulation model to obtain the predicted groundwater level of the target area based on water demand.

[0034] S3: Based on the groundwater level control threshold, the maximum groundwater extraction volume of the target area is obtained by calling the preset groundwater flow numerical simulation model.

[0035] The preset groundwater flow numerical simulation model takes groundwater extraction as input and groundwater level as calibration basis, and is constructed based on historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters and stratigraphic structure data of the target area.

[0036] For example, the typical application scenario of the groundwater level prediction and extraction volume control method of the present invention is arid-semi-arid areas. It effectively matches the single water use structure, the local characteristics of drought and low rainfall, and the characteristics of groundwater runoff that mainly relies on lateral recharge, thereby addressing various water and environmental ecological problems. It is more targeted and can improve the management efficiency of groundwater in arid-semi-arid areas, providing a scientific basis for the scientific extraction of groundwater.

[0037] This invention presents a method for predicting groundwater levels and regulating extraction volume. By constructing a numerical simulation model of groundwater flow with groundwater extraction volume as input and groundwater level as calibration, it achieves bidirectional quantitative feedback between groundwater level prediction and extraction volume regulation. On one hand, by using water demand as the extraction volume input model, it can predict the dynamic changes in groundwater level under the given extraction plan, providing a forward-looking basis for water use decisions. On the other hand, by using groundwater level control thresholds as constraint inputs to the model, it can inversely determine the maximum allowable extraction volume, enabling effective feedback of water level monitoring data to the extraction control process. This invention deeply integrates historical spatiotemporal water consumption data with historical spatiotemporal groundwater level data, breaking the limitation of independent application of extraction and water level data in existing methods. It significantly improves the accuracy of groundwater level prediction and the precision of extraction volume regulation, providing quantitative decision support for the scientific management and sustainable utilization of groundwater resources.

[0038] In one possible implementation, the groundwater flow numerical simulation model is constructed as follows: Historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters, and stratigraphic structure data of the target area are acquired; a three-dimensional geological model of the target area is established based on the stratigraphic structure data, and parameters are assigned to the three-dimensional geological model according to the hydrogeological parameters and land use type; a real-time groundwater flow field is established based on the historical spatiotemporal groundwater level data of the target area, and the boundary of the three-dimensional geological model is determined based on the real-time groundwater flow field; wherein, the boundary along the groundwater flow direction is set as the impermeable boundary, and the boundary perpendicular to the groundwater flow direction is set as the head boundary; based on the preset boundary head and parameters, groundwater extraction volume is used as input, and groundwater level is used as the calibration basis; the three-dimensional geological model is fitted and calibrated according to the historical spatiotemporal water consumption data and the historical spatiotemporal groundwater level data to obtain the groundwater flow numerical simulation model.

[0039] Optionally, the historical spatiotemporal water consumption data includes the cumulative electricity consumption, cumulative water extraction, instantaneous water extraction flow rate, and location information of each extraction well in the target area; the historical spatiotemporal groundwater level data includes the groundwater level depth and location information of each monitoring well in the target area.

[0040] Optionally, the historical spatiotemporal water consumption data is obtained based on the well-electric dual-control monitoring system of the target area; the historical spatiotemporal groundwater level data is obtained based on the groundwater level monitoring system of the target area.

[0041] Optionally, the hydrogeological parameters include permeability coefficient, elastic release coefficient, and the radius of influence of pumping water from the extraction well; the hydrogeological parameters are obtained through pumping experiments.

[0042] For example, based on the well-electricity dual-control monitoring system, 4D groundwater water consumption data and electricity consumption data of the target area in time and space are obtained. Based on the groundwater monitoring system, groundwater level fluctuation data and stratigraphic data of the target area are obtained. Through regional hydrogeological surveys, remote sensing interpretation and field pumping experiments, hydrogeological parameters, regional water use structure and land use type of the target area are obtained, resulting in historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters and stratigraphic structure data of the target area.

[0043] Specifically, in this embodiment, the target area is mainly located in an oasis plain in an arid to semi-arid region, where industrial and agricultural water use is mainly based on groundwater extraction. Groundwater is primarily replenished by lateral runoff, and the evaporation and discharge of groundwater are not strong.

[0044] For example, the acquisition of 4D groundwater water consumption data and electricity consumption data in the target area in terms of time and space based on the well-electricity dual-control monitoring system includes the following steps: S110, based on the well-electricity dual control monitoring system, can monitor the electricity and water consumption of each single well when extracting groundwater. It can record the cumulative electricity consumption, cumulative water consumption and instantaneous flow rate. The water consumption and electricity consumption data of a single well can be transmitted to the well-electricity dual control data integration terminal in real time.

[0045] S120. According to the well-electric dual-control monitoring system, the cumulative flow and instantaneous flow can be recorded once per second.

[0046] S130. According to the well-electric dual control monitoring system, record the location information of each mining well in the target area and store it in the form of latitude and longitude.

[0047] S140. Based on the well-electric dual-control monitoring system, collect the stratigraphic lithology columnar section at the time of well completion for each single well and the pumping test data at the time of well completion as the basis for establishing the later model.

[0048] For example, during the mining process in the target area, different wells will mine at different times using different flow rates. See also Figure 2 This is a monitoring system for a single well within a dual-control monitoring system for well electricity. During pumping, water is drawn from the monitoring well 27 via a pump 26. A flow monitoring system 23, equipped with a flow monitoring and control instrument, is installed at the end of the outlet pipe. This system records the pumping time, flow rate, and cumulative pumping volume. The pump 26 is connected to a power monitoring system 22 via a cable 25, which records the pumping time and power consumption. The monitored power and water consumption data can be used as a basis for comparison; if one monitoring data point is abnormal, the other system can be repaired or controlled.

[0049] See Figure 3 The power monitoring system 22 and the flow monitoring system 23 can simultaneously transmit single-well data to the data collection terminal via the wireless transmission system 21. The data collection terminal receives the power and flow data of a single well (J1, J2, J3...JN) from the well-power dual control monitoring system, and can record and store this data to form an integrated system for monitoring water consumption and power consumption at different locations and times in the target area.

[0050] For example, the acquisition of groundwater level fluctuation data and stratigraphic data in the target area based on the groundwater monitoring system includes the following steps: The S210 groundwater level monitoring system can monitor the fluctuations and changes in groundwater levels and record the relationship between groundwater levels and time. The groundwater level single-well monitoring system can transmit data to the groundwater monitoring system data integration terminal in real time.

[0051] S220. According to the groundwater level monitoring system, the groundwater level depth can be recorded once every hour.

[0052] S230. According to the groundwater level monitoring system, record the location information of each monitoring well in the target area and store it in the form of latitude and longitude.

[0053] S240. Based on the groundwater level monitoring system, collect the stratigraphic lithology columnar section of each monitoring well at the time of well completion, as well as the pumping test data at the time of well completion, as the basis for establishing the later model.

[0054] Explanatoryly, in arid-semi-arid green target areas, groundwater is extracted during industrial and agricultural production and daily life. Groundwater levels fluctuate with seasonal changes and extraction intensity. Groundwater level monitoring systems can detect these fluctuations. See also Figure 4 This is a schematic diagram of a single-well monitoring system for groundwater. A water level monitor 42 is placed in monitoring well 27 and connected to a ground-based wireless transmission system 21 via data cable 41. The water level monitor 42 can monitor the change in groundwater level over time. See also... Figure 5 The data recorded by the water level monitoring instrument 42 can be transmitted from a single monitoring well to the water level data collection terminal via the wireless transmission system 21, recording the water level depth of a single monitoring well (DJ1, DJ2, DJ3...DJN) over time, thereby obtaining the groundwater level fluctuation and change situation in the arid-semi-arid target area.

[0055] For example, obtaining the hydrogeological parameters, water use structure, and land use type of the target area through regional hydrogeological surveys, remote sensing interpretation, and field pumping experiments includes the following steps: S310. When conducting hydrogeological survey logging in the target area, an automatic water level gauge can be used to measure the water level depth, and an RTK can be used to measure the wellhead elevation. During the regional geological survey, the 1:50000 hydrogeological mapping standard can be used as a reference.

[0056] For example, a regional hydrogeological survey is conducted in the target area. Based on the main land use types of the surveyed area, the water level depth (H1), well platform height (H2), and wellhead elevation (H3) of the wells and monitoring wells are determined. In this embodiment, the groundwater level elevations of different wells and monitoring wells in the target area are calculated. A groundwater flow field map of the target area is generated using all location information and the difference between water level and elevation data. (See also...) Figure 6 The dashed lines represent isostatic lines, and the arrows perpendicular to the isostatic lines indicate the direction of groundwater runoff.

[0057] S320. Using remote sensing interpretation, delineate different types of cultivated land, wasteland, residential land, and other land use types in the target area and calculate their areas to provide a basis for subsequent prediction and simulation of water use for different cultivated lands.

[0058] For example, when interpreting remote sensing data in the target area, factors such as the technical parameters, geoscientific features, bands, and band combinations of the remote sensing data are considered to ensure that the data types and processing methods can identify different types of land use. Specifically, remote sensing interpretation is used in the target area to delineate different types of cultivated land, as well as wasteland, residential land, and other land use types, and to calculate their areas, providing a basis for subsequent prediction and simulation of water use for different cultivated lands. The total water consumption required for different types of cultivated land is calculated using the following formula:

[0059] in, for arable land area for Locally determined water usage for Water consumption.

[0060] S330. Conduct different types of pumping experiments in the target area to calculate the permeability coefficient and elastic release coefficient of the aquifer, as well as the influence radius of a single well pumping. For example, in the pumping experiments, the probe used is an automatic water level gauge that can record water level depth data once per minute.

[0061] For example, see Figure 7 CHJ2 is the experimental pumping well, with a self-recording water level gauge placed inside to monitor the water level depth every minute. CHJ1 is the experimental monitoring well, with a self-recording water level gauge placed inside to monitor the water level depth every minute. Water is pumped from the CHJ2 pumping well, and the flow rate over time is recorded. The permeability coefficient is calculated using the flow rate, water level, and depth data. Using the distance L between the pumping well CHJ2 and the monitoring well CHJ1, and the water level fluctuation curves of both wells, the influence radius of the pumping wells and the groundwater level response process are calculated. This pumping experiment solves the problem of obtaining parameters from a single-well pumping experiment and also obtains the influence radius after pumping from a single well. Increasing the number of pumping wells and monitoring wells can yield more accurate hydrogeological parameters.

[0062] For example, GMS software is selected to establish the numerical simulation model of groundwater flow. In practice, programming is used to process the extraction volume data and groundwater level monitoring data so that the data can be directly imported into the GMS software.

[0063] Optionally, the stratigraphic structure data includes core data from each production well and monitoring well in the target area; the step of establishing a three-dimensional geological model of the target area based on the stratigraphic structure data includes: encoding the stratigraphic data of the target area based on the core data from each production well and monitoring well in the target area, uniformly encoding the same strata, and importing them into the groundwater simulation system software to construct a three-dimensional geological model of the target area, as well as correcting the surface elevation of the three-dimensional geological model based on remote sensing data and field measurement data.

[0064] Explanatory, see Figure 8 In the target area, based on core data from drilling wells and monitoring wells, the stratigraphic data is encoded, with identical layers assigned a unified code. This data is then formatted into a GMS-recognizable format and imported into the software. The borehole data is converted into geological entities, and then into a 3D conceptual model. Furthermore, based on remote sensing data and field measurement data, the surface elevation is corrected and input into the 3D conceptual model for a more accurate depiction of the surface, ultimately resulting in a 3D geological model of the target area.

[0065] Then, the data of all pumping wells in the dual-control system are encoded using programming. The data is processed according to the point name, coordinates, and daily pumping flow rate, and organized into a data format that can be recognized by GMS software. This data is then imported into the model as input.

[0066] Next, the data from all monitoring wells in the groundwater monitoring system were encoded using programming. The data was organized into a format recognizable by the GMS software, based on well names, coordinates, and daily water level data, and imported into the model as the calibration basis. Then, based on the real-time flow field obtained from the groundwater monitoring system, the boundary conditions of the model were determined. A generalized boundary head and generalized parameters were input, and a steady-state flow simulation was performed to check if the model converged.

[0067] In one possible implementation, a water-resistant boundary is set along the direction of groundwater flow in the target area, and a head boundary is set along the direction of groundwater flow. Based on the influence radius data obtained from pumping experiments, the head boundary is generally at least 50 times the influence radius of a single well from the monitoring well, ensuring that the influence of distant pumping wells on the monitoring well is negligible. See also Figure 8 The AB boundary is the inflow boundary, and the CD boundary is the outflow boundary. The boundary conditions of the model can be input into the model based on the real-time flow field generated from the monitoring well data.

[0068] Finally, the hydrogeological parameters obtained from the field pumping experiments were input into the model, and calculations were initiated, with parameter adjustments made. Specifically, confidence intervals were set for water level fluctuations, such as ±0.5 meters and ±1 meter. See also Figure 9Observe whether the water level change data calculated by the model over time is consistent with the actual water level change curve measured by the monitoring well, and whether it is within the confidence interval. If the requirements are met, the model is successfully established. If the requirements are not met, adjust the hydrogeological parameters based on the experimental parameters until the simulated water level change over time curve is consistent with the actual measured curve of the monitoring well. This indicates that the requirements are met and the model is successfully established.

[0069] Optionally, during the model parameter adjustment process, the impact of adjusting different parameters on the water level curve can be calculated, and parameter sensitivity analysis can be performed. If there are significant parameter differences within a region during the modeling process, parameter partitioning can be performed in the model to make the model more accurate. The specific parameter adjustment process is the same as the parameter adjustment process described above.

[0070] In one possible implementation, the groundwater level prediction and extraction volume control method further includes: updating the model parameters of the preset groundwater flow numerical simulation model based on the spatiotemporal water consumption data and spatiotemporal groundwater level data of the target area and the meteorological and climatic condition change information acquired in real time.

[0071] Interpretively, the established numerical simulation model of groundwater flow can simulate the dynamic relationship between groundwater regulation extraction volume and groundwater level in different target areas. Furthermore, during subsequent extraction processes, the model is continuously iterated using existing actual extraction data and groundwater level dynamic change data to improve model accuracy, providing a scientific basis for water use decisions. Moreover, in the actual simulation process, meteorological models can be used as input for subsequent source and sink terms, making the model's prediction results more accurate. Specifically, the process includes the following: S510. Based on the established groundwater flow numerical simulation model, simulate the well water level change curves of different extraction wells under different water extraction volumes, and simulate the well water level change curves under different boundary conditions. For example, the change in water level caused by the reduction of groundwater lateral recharge under the influence of climate change can be controlled by setting a threshold for groundwater fluctuations to regulate the amount of water extracted and the amount of lateral recharge, thereby achieving a dynamic balance between groundwater extraction and lateral recharge.

[0072] S520. Based on the established model's changes over time, enable the flow model to have the ability to iterate continuously to improve prediction accuracy. See details below. Figure 10Numerical simulation models for groundwater flow can be divided into three phases: model convergence, model fitting, and prediction. During the convergence phase, existing data is input to stabilize the model, leading to convergence. During the fitting phase, different source and sink terms are input, and the model's formation parameters are adjusted to ensure a good fit between the calculated and measured water levels. During the prediction phase, assumptions about future conditions are input to predict groundwater levels corresponding to different extraction volumes, or to calculate extraction volumes given the magnitude of groundwater level changes. As time progresses, new measured data is input into the model, and the model is trained using the same methods as during the fitting phase to improve model accuracy and precision, eventually leading to a prediction cycle.

[0073] S530. Based on the changes in meteorological and climatic conditions in the arid-semi-arid target area, assign values ​​to the lateral boundary conditions in the groundwater flow numerical simulation model. Based on the groundwater demand for industrial and agricultural production, assign values ​​to the pumping volume of the well-electric dual-control pumping well in the groundwater flow numerical simulation model. Calculate the groundwater level change data in the monitoring wells and compare it with the groundwater level of the monitoring wells in the same period last year to see if it exceeds the water use red line.

[0074] The following are embodiments of the apparatus of the present invention, which can be used to execute embodiments of the method of the present invention. For details not disclosed in the apparatus embodiments, please refer to the embodiments of the method of the present invention.

[0075] See Figure 11 In another embodiment of the present invention, a groundwater level prediction and extraction volume control system is provided, which can be used to implement the above-mentioned groundwater level prediction and extraction volume control method. Specifically, the groundwater level prediction and extraction volume control system includes a data acquisition module, a water level prediction module, and an extraction volume control module.

[0076] The data acquisition module is used to acquire the water demand and groundwater level control threshold of the target area; the water level prediction module is used to take the water demand as the groundwater extraction volume and call the preset groundwater flow numerical simulation model to obtain the predicted groundwater level of the target area based on the water demand; the extraction volume control module is used to obtain the maximum groundwater extraction volume of the target area based on the groundwater level control threshold by calling the preset groundwater flow numerical simulation model; the preset groundwater flow numerical simulation model takes the groundwater extraction volume as input and the predicted groundwater level as output, and is constructed based on the historical spatiotemporal water demand data, historical spatiotemporal groundwater level data, hydrogeological parameters, land use type and stratigraphic structure data of the target area.

[0077] In one possible implementation, the groundwater flow numerical simulation model is constructed as follows: Historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters, and stratigraphic structure data of the target area are acquired; a three-dimensional geological model of the target area is established based on the stratigraphic structure data, and parameters are assigned to the three-dimensional geological model according to the hydrogeological parameters and land use type; a real-time groundwater flow field is established based on the historical spatiotemporal groundwater level data of the target area, and the boundary of the three-dimensional geological model is determined based on the real-time groundwater flow field; wherein, the boundary along the groundwater flow direction is set as the impermeable boundary, and the boundary perpendicular to the groundwater flow direction is set as the head boundary; based on the preset boundary head and parameters, groundwater extraction volume is used as input, and groundwater level is used as the calibration basis; the three-dimensional geological model is fitted and calibrated according to the historical spatiotemporal water consumption data and the historical spatiotemporal groundwater level data to obtain the groundwater flow numerical simulation model.

[0078] In one possible implementation, the historical spatiotemporal water consumption data includes the cumulative electricity consumption, cumulative water extraction, instantaneous water extraction flow rate, and location information of each extraction well in the target area; the historical spatiotemporal groundwater level data includes the groundwater level depth and location information of each monitoring well in the target area; the historical spatiotemporal water consumption data is obtained based on the well-electricity dual-control monitoring system of the target area; the historical spatiotemporal groundwater level data is obtained based on the groundwater level monitoring system of the target area.

[0079] In one possible implementation, the hydrogeological parameters include permeability coefficient, elastic release coefficient, and the radius of influence of pumping water from the extraction well; the hydrogeological parameters are obtained through pumping experiments.

[0080] In one possible implementation, the distance between the head boundary and the monitoring well is at least 50 times the radius of influence of the pumping well.

[0081] In one possible implementation, the stratigraphic structure data includes core data from each production well and monitoring well in the target area; the step of establishing a three-dimensional geological model of the target area based on the stratigraphic structure data includes: encoding the stratigraphic data of the target area based on the core data from each production well and monitoring well in the target area, uniformly encoding the same strata, and importing them into the groundwater simulation system software to construct a three-dimensional geological model of the target area, as well as correcting the surface elevation of the three-dimensional geological model based on remote sensing data and field measurement data.

[0082] In one possible implementation, an update module is also included, which is used to update the model parameters of the preset groundwater flow numerical simulation model based on the spatiotemporal water consumption data and spatiotemporal groundwater level data of the target area and the meteorological and climatic condition change information acquired in real time.

[0083] All relevant content of each step involved in the aforementioned embodiments of the groundwater level prediction and extraction volume control method can be referenced to the functional description of the corresponding functional module of the groundwater level prediction and extraction volume control system in the embodiments of the present invention, and will not be repeated here.

[0084] The module division in this embodiment of the invention is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the invention can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0085] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used for the operation of groundwater level prediction and extraction volume control methods.

[0086] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the groundwater level prediction and extraction control method in the above embodiments.

[0087] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0088] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0089] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0090] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for predicting groundwater levels and regulating extraction volume, characterized in that, include: Obtain the water demand and groundwater level control threshold of the target area; The water demand is used as the groundwater extraction volume, and a preset groundwater flow numerical simulation model is called to obtain the predicted groundwater level in the target area based on the water demand. Based on the groundwater level control threshold, the maximum groundwater extraction volume in the target area based on the groundwater level control threshold is obtained by calling the preset groundwater flow numerical simulation model. The preset groundwater flow numerical simulation model takes groundwater extraction as input and groundwater level as calibration basis, and is constructed based on historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters and stratigraphic structure data of the target area.

2. The method for predicting groundwater level and regulating extraction volume according to claim 1, characterized in that, The groundwater flow numerical simulation model was constructed in the following manner: Acquire historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters, and stratigraphic structure data for the target area; A three-dimensional geological model of the target area is established based on the stratigraphic structure data of the target area, and parameters of the three-dimensional geological model are assigned according to hydrogeological parameters and land use type. Based on historical spatiotemporal groundwater level data of the target area, a real-time groundwater flow field of the target area is established, and the boundary of the three-dimensional geological model is determined based on the real-time groundwater flow field; wherein, the boundary along the groundwater flow direction is set as the water-impermeable boundary, and the boundary perpendicular to the groundwater flow direction is set as the head boundary; Based on preset boundary head and parameters, groundwater extraction volume is used as input and groundwater level is used as calibration basis. According to historical spatiotemporal water consumption data and historical spatiotemporal groundwater level data, the three-dimensional geological model is fitted and calibrated to obtain a groundwater flow numerical simulation model.

3. The method for predicting groundwater level and regulating extraction volume according to claim 2, characterized in that, The historical spatiotemporal water consumption data includes the cumulative electricity consumption, cumulative water extraction, instantaneous water extraction flow rate, and location information of each extraction well in the target area; The historical spatiotemporal groundwater level data includes: the groundwater level depth and location information of each monitoring well in the target area; The historical spatiotemporal water consumption data is obtained based on the well-electric dual-control monitoring system of the target area; the historical spatiotemporal groundwater level data is obtained based on the groundwater level monitoring system of the target area.

4. The method for predicting groundwater level and regulating extraction volume according to claim 2, characterized in that, The hydrogeological parameters include permeability coefficient, elastic water release coefficient, and the radius of influence of water pumping from the extraction well; The hydrogeological parameters were obtained through pumping experiments.

5. The method for predicting groundwater level and regulating extraction volume according to claim 4, characterized in that, The distance between the water head boundary and the monitoring well is at least 50 times the radius of influence of the pumping well.

6. The method for predicting groundwater level and regulating extraction volume according to claim 2, characterized in that, The geological structure data includes core data from each production well and monitoring well in the target area; The process of establishing a three-dimensional geological model of the target area based on the stratigraphic structure data of the target area includes: encoding the stratigraphic data of the target area based on the core data of each mining well and monitoring well in the target area, and importing the same stratigraphic layer into the groundwater simulation system software to construct a three-dimensional geological model of the target area, as well as correcting the surface elevation of the three-dimensional geological model based on remote sensing data and field measurement data.

7. The method for predicting groundwater level and regulating extraction volume according to claim 1, characterized in that, Also includes: Based on real-time spatiotemporal water consumption data, spatiotemporal groundwater level data, and meteorological and climatic condition change information of the target area, the model parameters of the preset groundwater flow numerical simulation model are updated.

8. A groundwater level prediction and extraction volume control system, characterized in that, include: The data acquisition module is used to acquire the water demand and groundwater level control threshold of the target area; The water level prediction module is used to take water demand as the groundwater extraction volume and call the preset groundwater flow numerical simulation model to obtain the predicted groundwater level of the target area based on water demand. The extraction volume control module is used to obtain the maximum groundwater extraction volume of the target area based on the groundwater level control threshold by calling a preset groundwater flow numerical simulation model. The preset groundwater flow numerical simulation model takes groundwater extraction as input and groundwater level prediction as output, and is constructed based on historical spatiotemporal water consumption data, historical spatiotemporal groundwater level data, hydrogeological parameters, land use type and stratigraphic structure data of the target area.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the groundwater level prediction and extraction volume control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the groundwater level prediction and extraction volume control method as described in any one of claims 1 to 7.

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