Storage medium, groundwater pollution early warning method, device and equipment

Abstract

The invention discloses a storage medium, and an underground water pollution early warning method, device and equipment. The method comprises the following steps: constructing a tracing test well group for a tracing test; sampling analysis of underground water is carried out through observation points at different monitoring depths in the tracer test well group, and tracer agent concentration penetration curves at different monitoring depths are obtained; a groundwater flow and solute transport coupling model is established and calibrated, and a spatial distribution field containing hydraulic conduction coefficients of aquifers of different depths is obtained; identifying groundwater priority channels of the target plot at different depths; determining the hydraulic gradient from the pollution source to the potential risk receptor, and calculating the average underground water flow velocity on the priority channels at different depths according to the average value of the hydraulic conduction coefficients of the priority channels and the effective porosity of the stratum; determining a priority channel for installing a monitoring device according to the sequence of the average underground water flow velocity; according to the invention, the installation number of monitoring devices can be reduced, so that the layout cost and the maintenance cost are reduced.

Description

Technical Field

[0001] The present invention relates to the field of water pollution monitoring, and in particular to a storage medium, a groundwater pollution early warning method, a device and equipment. Background Art

[0002] Groundwater is stored in the underground rock and soil gaps. Once polluted, it will be difficult to recover. Therefore, the key to groundwater pollution prevention and control is to clarify the status quo, diffusion trend and degree of harm of water pollution, set up a groundwater pollution early warning system, clarify the early warning level and give effective alarms in time.

[0003] In order to obtain sufficient basic data, the online groundwater monitoring and early warning system of the contaminated site in the prior art often needs to set up many groundwater monitoring wells and deploy a large number of monitoring devices in the contaminated area.

[0004] After research, the inventors found that the above-mentioned prior art groundwater pollution early warning system setting method has at least the following defects:

[0005] A lot of cost is required to capture groundwater anomaly information more accurately.

[0006] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0007] The purpose of the present invention is to accurately capture groundwater abnormal information at a low cost.

[0008] The present invention provides a method for setting up a groundwater pollution early warning system, comprising the steps of:

[0009] S11, constructing a tracer test well group for the tracer test according to the hydrogeological conditions of the target plot, the pollution source and the positional relationship between the potential risk receptors located downstream of the pollution source;

[0010] S12. During the tracer test under artificial hydraulic gradient conditions, groundwater sampling and analysis are performed at various observation points at different monitoring depths in the tracer test well group to obtain tracer concentration penetration curves at different monitoring depths;

[0011] S13, establishing a groundwater flow and solute transport coupling model based on the tracer test, and calibrating the groundwater flow and solute transport coupling model by fitting each of the tracer concentration penetration curves by adjusting the model parameter values ​​including the hydraulic conductivity, and obtaining a spatial distribution field of the hydraulic conductivity of aquifers at different depths;

[0012] S14, identifying the groundwater priority channels at different depths of the target plot according to the spatial distribution field;

[0013] S15, determining the hydraulic gradient from the pollution source to the potential risk receptor according to the groundwater level line of the target plot, and calculating the average groundwater flow rate on the priority channels at different depths according to the average hydraulic conductivity coefficient of the priority channel and the effective porosity of the formation;

[0014] S16. Determine a priority channel for installing monitoring devices according to the ranking of the average groundwater flow velocities.

[0015] Preferably, in an embodiment of the present invention, before constructing a tracer test well group for a tracer test, the method further includes:

[0016] Obtain the hydrogeological data of the target plot, the location information of the pollution source and the location information of the potential risk receptor.

[0017] Preferably, in an embodiment of the present invention, it includes:

[0018] The tracer test process was simulated using groundwater flow and solute transport simulation software, and a groundwater flow and solute transport coupling model based on the tracer test was established.

[0019] Preferably, in an embodiment of the present invention, the identifying the groundwater priority channels at different depths of the target plot according to the spatial distribution field includes:

[0020] Based on the spatial distribution data of the hydraulic conductivity coefficient obtained from the calibrated groundwater flow and solute transport coupling model, combined with the groundwater flow field data of the target plot, the Dijkstra optimal path algorithm is used to identify the groundwater priority channels at different depths.

[0021] Preferably, in an embodiment of the present invention, after determining the priority channel for installing the monitoring device, the method further includes:

[0022] In the priority channel for installing monitoring devices, multiple groups of monitoring devices are respectively installed at positions at different distances from the potential risk receptors.

[0023] Preferably, in an embodiment of the present invention, for a single priority channel for installing monitoring devices, the number of groups of the monitoring devices is the number of warning levels minus 1.

[0024] In another aspect of the present invention, there is also provided a groundwater pollution early warning system, comprising a plurality of monitoring devices, data transmission lines and processing units for obtaining conventional water quality monitoring index data of groundwater;

[0025] The setting method of the monitoring device includes the setting method of the above-mentioned groundwater pollution early warning system;

[0026] The data transmission line is used to transmit the conventional water quality monitoring index data collected in real time by the monitoring device to the processing unit;

[0027] The processing unit is used to generate corresponding warning information according to the conventional water quality monitoring indicator data.

[0028] In another aspect of the present invention, a groundwater pollution early warning method is also provided, which is applicable to the above-mentioned groundwater pollution early warning system, comprising the steps of:

[0029] Acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data;

[0030] averaging the reference monitoring indicator data to generate a monitoring indicator benchmark;

[0031] When the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold, corresponding warning information is generated according to the position of the monitoring device.

[0032] Preferably, in an embodiment of the present invention, the warning information includes multiple levels;

[0033] The level of the warning information is determined according to the distance between the monitoring device to which the monitoring indicator data whose difference with the monitoring indicator benchmark is greater than a preset threshold belongs and the potential risk receptor; the closer the distance, the higher the level of the warning information.

[0034] Preferably, in the embodiment of the present invention, it also includes:

[0035] Obtain groundwater samples at the location where the monitoring device that generates the warning information is located, and send the samples to the laboratory for testing and analysis. If the test results exceed the standard value, the original warning level will be raised by one level.

[0036] In another aspect of the present invention, there is also provided a groundwater pollution early warning device, comprising:

[0037] A data acquisition unit, used to acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data;

[0038] A current benchmark generating unit, used for averaging the reference monitoring indicator data to generate a monitoring indicator benchmark;

[0039] The early warning generation unit is used to generate corresponding early warning information according to the position of the monitoring device when the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold.

[0040] In another aspect of the present invention, there is also provided a groundwater pollution early warning device, comprising:

[0041] Memory for storing computer programs;

[0042] A processor is used to call and execute the computer program to implement each step of the groundwater pollution early warning method as described in any one of the above items.

[0043] On the other hand, a storage medium is provided on which a computer program is stored. When the computer program is executed by a processor, each step of the groundwater pollution early warning method as described in any one of the above items is implemented.

[0044] The groundwater pollution early warning device includes a computer program stored on a medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] In the present invention, the groundwater flow and solute transport coupling model is first calibrated by the tracer concentration penetration curve obtained by the tracer test, so as to obtain a more accurate spatial distribution of the hydraulic conductivity coefficient; then, the groundwater priority channels at different depths of the target plot are further identified, and then the priority channels suitable for installing monitoring devices are selected according to the ranking of the average flow rate of each priority channel. The priority channel with the highest average flow rate between the pollution source and the potential risk receptor is the main channel for pollution diffusion and the fastest channel for pollutant diffusion. Therefore, in the present invention, the monitoring device of the groundwater pollution early warning system is installed in the priority channel with the highest average flow rate, which can effectively reduce the number of monitoring devices installed and simplify the structure of the groundwater pollution early warning system while improving the early warning efficiency, thereby effectively reducing the layout cost and maintenance cost of the groundwater pollution early warning system.

[0047] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 It is a step diagram of the method for setting up the groundwater pollution early warning system described in the present invention;

[0050] Figure 2 It is a step diagram of the groundwater pollution early warning method described in the present invention;

[0051] Figure 3 It is a structural schematic diagram of the groundwater pollution early warning device described in the present invention;

[0052] Figure 4 It is a structural schematic diagram of the groundwater pollution early warning device described in the present invention. DETAILED DESCRIPTION

[0053] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0054] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0055] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit a specific position or relative relationship. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable.

[0056] Embodiment 1

[0057] In order to accurately capture groundwater anomaly information at low cost, such as Figure 1 As shown, in an embodiment of the present invention, a method for setting a groundwater pollution early warning system is provided, comprising the steps of:

[0058] S11, constructing a tracer test well group for the tracer test according to the hydrogeological conditions of the target plot, the pollution source and the positional relationship between the potential risk receptors located downstream of the pollution source;

[0059] The deployment cost of the groundwater pollution early warning system in the prior art is relatively high, mainly because a large number of monitoring devices need to be deployed to collect sufficient water quality data;

[0060] After research, the inventors found that pollutants from pollution sources to potential risk receptors are mainly diffused through the priority channel with the highest average flow velocity, and the priority channel with the highest flow velocity is also the location where pollution data is first obtained. For this reason, the core idea of ​​the embodiment of the present invention includes: obtaining a spatial distribution field of the hydraulic conductivity coefficient of aquifers at different depths of the target plot; then identifying the groundwater priority channels at different depths; in this way, the priority channel suitable for installing monitoring devices can be selected according to the ranking of the average flow velocity of each priority channel.

[0061] In practical applications, in order to construct a tracer test well group for the tracer test, the hydrogeological data of the target plot, the location information of the pollution source and the location information of the potential risk receptors can also be obtained before constructing the tracer test well group for the tracer test.

[0062] In the embodiment of the present invention, the collected hydrogeological data include but are not limited to aquifer thickness, aquifer top and bottom elevations, isowater lines, hydraulic conductivity, water supply, porosity, etc. The direction of the main groundwater flow line can be determined through isowater lines.

[0063] S12. During the tracer test under artificial hydraulic gradient conditions, groundwater sampling and analysis are performed at various observation points at different monitoring depths in the tracer test well group to obtain tracer concentration penetration curves at different monitoring depths;

[0064] In the tracer test well group, there are multiple observation points located at different monitoring depths to sample and analyze groundwater separately, so as to generate tracer concentration penetration curves at different monitoring depths.

[0065] In the embodiment of the present invention, the tracer test well group may include one pumping well and one injection well, as well as multiple observation wells. The injection well is set near the downstream of the pollution risk source, and the pumping well is set near the downstream of the injection well and the upstream of the warning area. Both the pumping well and the injection well are full-screen wells, that is, the well pipes are screened within the entire aquifer thickness range, and the well pipes are filled with high-permeability filter materials.

[0066] In an embodiment of the present invention, the observation well in the tracer test well group is a single-hole multi-layer observation well including multiple observation points, and the observation well can be set between the pumping well and the injection well. The monitoring layer of the single-hole multi-layer observation well can be determined according to the thickness of the aquifer; preferably, when the thickness of the aquifer is greater than or equal to 3m, at least three upper, middle and lower monitoring layers are set; when the thickness of the aquifer is less than 3m, two upper and lower monitoring layers are set; each monitoring layer filter pipe is filled with a 0.5m thick high permeability filler between the borehole, and the well pipe outside the monitoring layer and the borehole is filled with clay filler to block water flow.

[0067] Since the groundwater flow rate is slow under natural conditions, in order to speed up the test process, the tracer test in the embodiment of the present invention can be carried out under artificial hydraulic gradient conditions established by the pumping-injection system.

[0068] Before the tracer test, sampling and analysis were carried out to determine the background concentration of the tracer in the groundwater of the plot. b During the whole process of the tracer test, the pumping well maintained a constant flow rate of water pumping, and the water injection process was divided into three stages: the first stage was to uniformly inject natural groundwater into the injection well, with the purpose of forming a relatively stable flow field under the pumping-injection conditions; the second stage was the tracer injection stage, in which a tracer with a concentration of C was uniformly injected into the injection well. 0 The third stage is the observation stage, in which natural groundwater is uniformly injected into the injection well again, and groundwater samples at different monitoring depths at each observation point are sampled at fixed time intervals and the tracer concentration C is analyzed. t , when C t When there is an upward trend, the sampling interval is shortened, and sampling is stopped after the tracer concentration returns to the background value, and the tracer test ends. The flow rate of water or agent injection through the injection well is kept consistent in the three stages.

[0069] According to the tracer concentration analysis results, (C t -C b ) / C 0 The tracer concentration penetration curves at different depths of each observation point are established with t as the ordinate and time t as the abscissa.

[0070] S13, establishing a groundwater flow and solute transport coupling model based on the tracer test, and calibrating the groundwater flow and solute transport coupling model by fitting each of the tracer concentration penetration curves by adjusting the model parameter values ​​including the hydraulic conductivity, and obtaining a spatial distribution field of the hydraulic conductivity of aquifers at different depths;

[0071] The tracer test process is simulated using groundwater flow and solute transport simulation software. The specific sub-steps of this step can be as follows:

[0072] S131. Establish a hydrogeological conceptual model, determine the scope of the simulation area based on the hydrogeological conditions of the plot, and generalize the hydrogeological structure, boundary conditions, and source and sink items of the simulation area.

[0073] S132. Establish a numerical model of groundwater flow. The mathematical expression can be as follows:

[0074]

[0075] Initial conditions:

[0076] H(x,y,z,t)| t＝0 =H 0 (x,y,z)

[0077] The first type of boundary conditions:

[0078]

[0079] The second type of boundary conditions:

[0080]

[0081] Where, H(x,y,z,t): water head; K xx , K yy , K zz : Components of hydraulic conductivity in each coordinate direction; μ s : gravity water supply; W: source and sink item, mainly pumping and injection water; H 0 (x, y, z): initial water head; The first kind of boundary Г 1 The given hydraulic head on the surface; Г: the boundary of the simulation area, Г 1 +G 2 =Г; t: time; q(x,y,z,t): flow at different locations on the boundary at different times; The component of the hydraulic gradient on the boundary normal;

[0082] S133. Establish a solute transport model. The mathematical expression is as follows:

[0083]

[0084] Where, C: solute concentration; D ij : component of the hydrodynamic dispersion coefficient; q: aquifer flow per unit volume; C w : solute concentration injected or discharged from source or sink; R d : retention factor; n: effective porosity; u: i : Actual velocity component of water flow.

[0085] S134. Run the simulation and use measured values ​​or empirical values ​​to assign parameters such as hydraulic conductivity, gravity water supply, effective porosity and dispersivity in the above model. On this basis, use the MODFLOW and MT3D modules of the groundwater flow and solute transport simulation software to run the groundwater flow and solute transport model.

[0086] S135. Through model calibration, the spatial distribution of hydraulic conductivity of aquifers at different depths is obtained.

[0087] The model was calibrated based on the tracer test results, with hydraulic conductivity, effective porosity and diffusivity as the main calibration parameters. The human-computer interactive "trial and error method" was used to fit the model-calculated and measured tracer concentration penetration curves at different depths of each observation point. A good fitting effect (small fitting average error or root mean square error) indicates that the spatial distribution of the hydraulic conductivity of aquifers at different depths is reasonable and reliable.

[0088] S14, identifying the groundwater priority channels at different depths of the target plot according to the spatial distribution field;

[0089] Preferably, in an embodiment of the present invention, the spatial distribution data of the hydraulic conductivity coefficient obtained by the calibrated groundwater flow and solute transport coupling model can be combined with the groundwater flow field data of the target plot to identify the groundwater priority channels at different depths through the Dijkstra optimal path algorithm; specifically, the following sub-steps may be included:

[0090] S141. Algorithm preparation: For the spatial distribution of hydraulic conductivity coefficient at a certain depth, finite difference grid discretization is performed, with the grid center point as the vertex; if the grids where two vertices i and j are located have common edges or common points, then vertices i and j are adjacent; each line connecting two adjacent vertices has a weight value, and the calculation formula is:

[0091]

[0092] In the formula, w ij is the weight of the line between vertices i and j; K i and K j are the hydraulic conductivity coefficients of vertices i and j respectively; L ij is the length of the line between vertices i and j, and θ is the angle between the line between vertices i and j and the direction of the main groundwater flow line.

[0093] S142, algorithm initialization: take the grid vertex where the injection well is located as the starting point, and the grid vertex where the pumping well is located as the end point; starting from the starting point, assign a label to each vertex; the label consists of a symbol and a weight, and is divided into two categories: permanent label and temporary label. Assigning a permanent label means that the optimal path from the starting point to the vertex has been found. The weight at this time is the distance between the starting point and the vertex on the optimal path. First, assign a permanent label v to the starting point 1 = 0, other vertices are assigned temporary labels v 2 ′=v 3 ′=…=v k ′=+∞;

[0094] S143, iterative operation: for the latest permanent label v i The vertex (this is the starting point), find all the adjacent vertices, and update the temporary label v of each adjacent vertex jThe weight of ′ is min[v j ′,v i +w ij ], then change the labels of all the vertices with the smallest weight among the temporary labels to permanent labels, and the weight remains unchanged. At this time, one iteration is completed. If the label of the end point is a temporary label at this time, repeat the above iterative operation steps until the label of the end point is updated to a permanent label, and stop the iterative operation. The optimal path from the starting point to the end point determined by the operation is the priority groundwater channel of the plot at this depth.

[0095] S144. Apply the spatial distribution data of hydraulic conductivity coefficients at other depths, repeat steps S141-S143, and identify priority channels of groundwater in plots at other depths.

[0096] S15, determining the hydraulic gradient from the pollution source to the potential risk receptor according to the groundwater level line of the target plot, and calculating the average groundwater flow rate on the priority channels at different depths according to the average hydraulic conductivity coefficient of the priority channel and the effective porosity of the formation;

[0097] In an embodiment of the present invention, the formula for calculating the average groundwater flow rate on the preferential channels at different depths may be as follows:

[0098]

[0099] In the formula, v a is the average groundwater velocity on the depth-preferential channel a; K a a is the average hydraulic conductivity of the depth-preferential channel; I is the groundwater hydraulic gradient from the pollution source to the potential risk receptor; n a is the average effective porosity of the formation at depth a.

[0100] S16. Determine a priority channel for installing monitoring devices according to the ranking of the average groundwater flow velocities.

[0101] In an embodiment of the present invention, a monitoring device can be installed in a priority channel with the fastest average groundwater flow rate. In this way, by installing the monitoring device on the priority channel at a depth corresponding to the fastest groundwater flow rate, not only can pollution information be obtained first, but the number of installed monitoring devices can also be effectively reduced while improving early warning efficiency.

[0102] In practical applications, the groundwater pollution early warning system needs to install multiple groups of monitoring devices at different positions of the priority channel for installing monitoring devices, so as to carry out graded early warning according to the different polluted locations. That is, in the priority channel for installing monitoring devices, multiple groups of monitoring devices are installed at different distances from potential risk receptors; in this way, according to the different positions of the monitoring devices that detect pollution information, early warning information of corresponding early warning levels can be generated.

[0103] Preferably, in an embodiment of the present invention, the number of groups of monitoring devices can be determined according to the number of warning levels, that is, for a priority channel for installing monitoring devices, the number of groups of monitoring devices is the number of warning levels minus 1.

[0104] Generally speaking, referring to the National Emergency Plan for Environmental Sudden Events, the warning level can be set to level four. At this time, in the groundwater pollution early warning system, the number of monitoring devices deployed is three groups, and the preferred positions are respectively at the positions where the groundwater flows along the priority channel corresponding to the depth with the fastest flow velocity for 1 / 4, 1 / 2 and 3 / 4 of the total time the groundwater passes through the priority channel.

[0105] In summary, in the embodiment of the present invention, the groundwater flow and solute transport coupling model is first calibrated by the tracer concentration penetration curve obtained by the tracer test, so as to obtain a more accurate spatial distribution of the hydraulic conductivity coefficient; then, the groundwater priority channels at different depths of the target plot are further identified, and then the priority channels suitable for installing monitoring devices are selected according to the ranking of the average flow velocity of each priority channel. The priority channel with the highest average flow velocity between the pollution source and the potential risk receptor is the main channel for pollution diffusion and the fastest channel for pollutant diffusion. Therefore, in the embodiment of the present invention, the monitoring device of the groundwater pollution early warning system is installed in the priority channel with the highest average flow velocity, which can effectively reduce the number of monitoring devices installed and simplify the structure of the groundwater pollution early warning system without reducing the early warning effect and efficiency, thereby effectively reducing the layout cost and maintenance cost of the groundwater pollution early warning system.

[0106] Embodiment 2

[0107] Corresponding to the above method embodiment, in another aspect of the embodiment of the present invention, a groundwater pollution early warning system is also provided, comprising a plurality of groups of monitoring devices, data transmission lines and processing units for obtaining conventional water quality monitoring index data of groundwater;

[0108] The setting method of the monitoring device includes the setting method of the groundwater pollution early warning system in Example 1; the data transmission line is used to transmit the conventional water quality monitoring index data collected in real time by the monitoring device to the processing unit; the processing unit is used to generate corresponding early warning information based on the conventional water quality monitoring index data.

[0109] It should be noted that the specific implementation and technical effects of the groundwater pollution early warning system in the embodiment of the present invention can be referred to Figure 1 The setting method of the corresponding groundwater pollution early warning system will not be elaborated here.

[0110] Embodiment 3

[0111] Based on the above-mentioned groundwater pollution early warning system embodiment, in another aspect of the embodiment of the present invention, as Figure 2 As shown, a groundwater pollution early warning method is also provided, comprising the steps of:

[0112] S21, acquiring the current water quality monitoring index data collected by each of the monitoring devices in real time, and using the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data;

[0113] S22, averaging the reference monitoring indicator data to generate a monitoring indicator benchmark;

[0114] S23, when the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold, generating corresponding warning information according to the position of the monitoring device;

[0115] Preferably, it may also include:

[0116] Obtain groundwater samples at the location where the monitoring device that generates the warning information is located, and send the samples to the laboratory for testing and analysis. If the test results exceed the standard value, the original warning level will be raised by one level.

[0117] In practical applications, groundwater pollution early warning system uses multiple groups of monitoring devices to continuously monitor groundwater online. It can trace back historical monitoring index data for a preset period (the preset period can be set to 3 to 7 days) as reference monitoring index data, and then generate a monitoring index benchmark by calculating the average value; then determine whether to generate early warning information based on the difference between the current monitoring index data and the monitoring index benchmark; specifically, early warning information can be generated when the current monitoring index data is greater than or less than 30% of the monitoring index benchmark.

[0118] In an embodiment of the present invention, the level of the warning information is determined according to the distance between the monitoring device that generates the warning information and the potential risk receptor; the closer the distance, the higher the level of the warning information; specifically, if the warning information is generated based on the current monitoring index data of the monitoring device farthest from the risk receptor, a first-level warning is issued; if the warning information is generated based on the current monitoring index data of the monitoring device second farthest from the risk receptor, a second-level warning is issued; if the warning information is generated based on the current monitoring index data of the monitoring device closest to the risk receptor, a third-level warning is issued.

[0119] After the early warning information is generated, a groundwater sample at the location of the monitoring device is immediately collected and sent to the laboratory for testing and analysis. If the test result exceeds the standard value, the original early warning level will be raised by one level.

[0120] It should be noted that, in the embodiments of the present invention, the standard value specifically refers to the Class III or Class IV standard limit or geological background value of the "Groundwater Quality Standard" (GB / T14848-2017).

[0121] After the final warning is issued, the possible time for pollution to reach the risk receptor can be estimated based on the location of the monitoring device and the flow rate of groundwater on the priority channel based on the warning level, thereby guiding the implementation of groundwater pollution control and treatment measures.

[0122] Embodiment 4

[0123] Corresponding to the third method embodiment, another aspect of the present invention embodiment further provides a groundwater pollution early warning device. Figure 3 The schematic diagram of the structure of the groundwater pollution early warning device provided by the embodiment of the present invention is shown. Figure 2 The device corresponding to the groundwater pollution early warning method in the corresponding embodiment, that is, the groundwater pollution early warning method in the third embodiment is implemented by means of a virtual device, and each virtual module constituting the groundwater pollution early warning device can be executed by an electronic device, such as a network device, a terminal device or a server. Specifically, the groundwater pollution early warning device in the embodiment of the present invention includes:

[0124] The data acquisition unit 01 is used to acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as the reference monitoring index data;

[0125] A current benchmark generating unit 02, used for averaging the reference monitoring indicator data to generate a monitoring indicator benchmark;

[0126] The warning generation unit 03 is used to generate corresponding warning information according to the position of the monitoring device when the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold.

[0127] It should be noted that the specific implementation method and technical effect of the groundwater pollution early warning device in the embodiment of the present invention can be the groundwater pollution early warning method recorded in Example 3, and will not be repeated here.

[0128] Embodiment 5

[0129] Corresponding to the method embodiment, in the embodiment of the present invention, a groundwater pollution early warning device is also provided, such as a terminal, a server, etc. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto.

[0130] An example of a hardware structure block diagram of a groundwater pollution early warning device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, it may include:

[0131] Processor 1, communication interface 2, memory 3 and communication bus 4;

[0132] The processor 1, the communication interface 2, and the memory 3 communicate with each other via the communication bus 4;

[0133] Optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;

[0134] The processor 1 may be a central processing unit CPU, or an application-specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0135] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0136] The processor 1 is specifically used to execute the computer program stored in the memory 3 to perform the following steps:

[0137] Acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data;

[0138] averaging the reference monitoring indicator data to generate a monitoring indicator benchmark;

[0139] When the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold, corresponding warning information is generated according to the position of the monitoring device.

[0140] Preferably, in the embodiment of the present invention, it also includes:

[0141] Obtain groundwater samples at the location where the monitoring device that generates the warning information is located, and send the samples to the laboratory for testing and analysis. If the test results exceed the standard value, the original warning level will be raised by one level.

[0142] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the groundwater pollution early warning method provided by the embodiment of the present invention.

[0143] Embodiment 6

[0144] In an embodiment of the present invention, a storage medium is further provided, which may store a program suitable for execution by a processor, wherein the program is used to:

[0145] Acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data;

[0146] averaging the reference monitoring indicator data to generate a monitoring indicator benchmark;

[0147] When the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold, corresponding warning information is generated according to the position of the monitoring device.

[0148] Preferably, in the embodiment of the present invention, it also includes:

[0149] Obtain groundwater samples at the location where the monitoring device that generates the warning information is located, and send the samples to the laboratory for testing and analysis. If the test results exceed the standard value, the original warning level will be raised by one level.

[0150] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the methods provided by other embodiments of the present invention.

[0151] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0152] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0153] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0155] It should be understood that in the embodiments of the present application, the various embodiments and features can be combined with each other to solve the aforementioned technical problems.

[0156] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0157] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for setting up a groundwater pollution early warning system, characterized in that: Includes steps: S11, constructing a tracer test well group for the tracer test according to the hydrogeological conditions of the target plot, the pollution source and the positional relationship between the potential risk receptors located downstream of the pollution source; S12. During the tracer test under artificial hydraulic gradient conditions, groundwater sampling and analysis are performed at various observation points at different monitoring depths in the tracer test well group to obtain tracer concentration penetration curves at different monitoring depths; S13, establishing a groundwater flow and solute transport coupling model based on the tracer test, and calibrating the groundwater flow and solute transport coupling model by fitting each of the tracer concentration penetration curves by adjusting the model parameter values ​​including the hydraulic conductivity, and obtaining a spatial distribution field of the hydraulic conductivity of aquifers at different depths; S14, identifying the groundwater priority channels at different depths of the target plot according to the spatial distribution field; S15, determining the hydraulic gradient from the pollution source to the potential risk receptor according to the groundwater level line of the target plot, and calculating the average groundwater flow rate on the priority channels at different depths according to the average hydraulic conductivity coefficient of the priority channel and the effective porosity of the formation; S16. Determine a priority channel for installing monitoring devices according to the ranking of the average groundwater flow velocities.

2. The method for setting up a groundwater pollution early warning system according to claim 1, characterized in that: Before constructing the tracer test well group for the tracer test, it also includes: Obtain the hydrogeological data of the target plot, the location information of the pollution source and the location information of the potential risk receptor.

3. The method for setting up a groundwater pollution early warning system according to claim 1, characterized in that: include: The tracer test process is simulated using groundwater flow and solute transport simulation software to establish a groundwater flow and solute transport coupling model.

4. The method for setting up a groundwater pollution early warning system according to claim 1, characterized in that: The step of identifying groundwater priority channels at different depths of the target land plot according to the spatial distribution field includes: Based on the spatial distribution data of the hydraulic conductivity coefficient obtained from the calibrated groundwater flow and solute transport coupling model, combined with the groundwater flow field data of the target plot, the Dijkstra optimal path algorithm is used to identify the groundwater priority channels at different depths.

5. The method for setting up a groundwater pollution early warning system according to claim 4, characterized in that: After determining the priority channels for installing monitoring devices, it also includes: In the priority channel for installing monitoring devices, multiple groups of monitoring devices are respectively installed at positions at different distances from the potential risk receptors.

6. The method for setting up a groundwater pollution early warning system according to claim 4, characterized in that: For a single priority channel for installing monitoring devices, the number of groups of the monitoring devices is the number of warning levels minus 1.

7. A groundwater pollution early warning system, characterized in that: It includes a plurality of monitoring devices, data transmission lines and processing units for obtaining conventional water quality monitoring index data of groundwater; The setting method of the monitoring device includes the setting method of the groundwater pollution early warning system according to any one of claims 1 to 6; The data transmission line is used to transmit the conventional water quality monitoring index data collected in real time by the monitoring device to the processing unit; The processing unit is used to generate corresponding warning information according to the conventional water quality monitoring indicator data.

8. A groundwater pollution early warning method, applicable to the groundwater pollution early warning system as claimed in claim 7, characterized in that: Includes steps: Acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data; averaging the reference monitoring indicator data to generate a monitoring indicator benchmark; When the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold, corresponding warning information is generated according to the position of the monitoring device.

9. The groundwater pollution early warning method according to claim 8, characterized in that: The warning information includes multiple levels; Determine the level of the warning information according to the distance between the monitoring device to which the monitoring indicator data whose difference from the monitoring indicator benchmark is greater than a preset threshold belongs and the potential risk receptor; The closer the distance, the higher the level of the warning information.

10. The groundwater pollution early warning method according to claim 8, characterized in that: Also includes: Obtain groundwater samples at the location where the monitoring device that generates the warning information is located, and send the samples to the laboratory for testing and analysis. If the test results exceed the standard value, the original warning level will be raised by one level.

11. A groundwater pollution early warning device, characterized in that: include: A data acquisition unit, used to acquire the current monitoring index data collected by each of the monitoring devices in real time, and use the historical monitoring index data within a preset time period after the initial installation of the monitoring device as reference monitoring index data; A benchmark generating unit, used for averaging the reference monitoring indicator data to generate a monitoring indicator benchmark; The early warning generation unit is used to generate corresponding early warning information according to the position of the monitoring device when the difference between the current monitoring index data of a certain monitoring device and the monitoring index benchmark is greater than a preset threshold.

12. A groundwater pollution early warning device, characterized in that: include: Memory for storing computer programs; A processor is used to call and execute the computer program to implement the steps of the groundwater pollution early warning method as described in any one of claims 8 to 10.

13. A storage medium, characterized in that: It comprises a software program, wherein the software program is suitable for a processor to execute the steps of the groundwater pollution early warning method as claimed in any one of claims 8 to 10.

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