Underground water pollution early warning analysis method, device and equipment suitable for double-source area

Abstract

The invention relates to the technical field of groundwater pollution early warning, and discloses a groundwater pollution early warning analysis method, device and equipment suitable for a double-source area. The method comprises the steps that an underground water pollutant migration algorithm is constructed, and function packaging and built-in are carried out; receiving a current input parameter based on the parameter input window, and obtaining a pollutant migration and diffusion concentration curve according to the current input parameter and an underground water pollutant migration algorithm; judging the state of the monitoring well according to a preset early warning threshold value to screen out an underground water pollution point location; and according to the underground water pollution point location and the pollutant migration and diffusion concentration curve, a pollution source is judged, and downstream sensitive points are recognized. According to the method, an underground water pollutant migration algorithm is constructed and packaged into a function, parameters related to underground water pollutant migration are input through a window, and underground water quality monitoring data and double-source point location data are combined, so that potential source judgment of an underground water pollution event and sensitive point location identification in a pollution influence range are realized; and rapid early warning analysis is realized.

Description

Technical Field

[0001] The present invention relates to the field of groundwater pollution early warning technology, and in particular to a groundwater pollution early warning analysis method, device and equipment suitable for dual-source areas. Background Art

[0002] Groundwater is one of the important water resources and plays an important role in agriculture, industry and residents' lives. However, groundwater environmental problems are becoming increasingly prominent, including water pollution and water level decline, which have had a serious impact on human life and the ecological environment. Therefore, establishing a rapid analysis method for groundwater environmental pollution early warning is of great significance for protecting groundwater resources and preventing and controlling groundwater environmental problems.

[0003] At present, there is a lack of rapid analysis and response methods for the prevention and control of groundwater pollution incidents in "dual-source" areas (groundwater drinking water sources and key pollution sources), making it difficult to quickly determine the pollution sources and identify downstream sensitive points. Summary of the invention

[0004] The main purpose of the present invention is to provide a groundwater pollution early warning analysis method, device and equipment suitable for dual-source areas, aiming to solve at least one of the above-mentioned technical problems.

[0005] To achieve the above object, the present invention provides a groundwater pollution early warning analysis method suitable for dual-source areas, comprising:

[0006] Constructing groundwater contaminant migration algorithms;

[0007] Function encapsulation and built-in of the groundwater pollutant migration algorithm;

[0008] Receiving current input parameters based on the parameter input window, and obtaining a pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm;

[0009] The status of the monitoring wells is judged according to the preset warning threshold to screen out groundwater pollution points;

[0010] The pollution source is determined and the downstream sensitive points are identified based on the groundwater pollution points and the pollutant migration and diffusion concentration curve.

[0011] In some embodiments, constructing a groundwater contaminant migration algorithm includes:

[0012] Construct a mathematical model of groundwater pollutant migration based on the migration and change process of groundwater pollutants;

[0013] Converting the mathematical model of groundwater contaminant migration into a well-defined problem of a second-order linear homogeneous partial differential equation;

[0014] The well-defined problem of the second-order linear homogeneous partial differential equation is solved to obtain a one-dimensional diffusion equation for a stable source and a one-dimensional diffusion equation for an instantaneous source.

[0015] In some embodiments, the mathematical model of groundwater contaminant migration takes the impermeable bottom plate as the x-axis and the river as the origin, and the mathematical model of groundwater contaminant migration is:

[0016]

[0017] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

[0018] In some embodiments, solving the well-defined problem of the second-order linear homogeneous partial differential equation to obtain a stable source one-dimensional diffusion equation and a transient source one-dimensional diffusion equation includes:

[0019] Assume that the actual average groundwater flow rate is constant;

[0020] When the actual average velocity of groundwater is constant, the definite solution problem of the second-order linear homogeneous partial differential equation is solved based on the Laplace integral transform method to obtain a stable source one-dimensional diffusion equation;

[0021] When it is assumed that the pollution source instantaneously recharges the confined aquifer to pollute the groundwater, the well-defined problem of the second-order linear homogeneous partial differential equation is simplified to a one-dimensional diffusion equation of the instantaneous source.

[0022] In some embodiments, the stable source one-dimensional diffusion equation is:

[0023]

[0024] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

[0025] In some embodiments, the instantaneous source one-dimensional diffusion equation is:

[0026]

[0027] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

[0028] In some embodiments, the receiving current input parameters based on the parameter input window and obtaining the pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm include:

[0029] Receiving current input parameters based on the parameter input window; wherein the current input parameters include effective porosity parameters, actual average groundwater flow velocity parameters, diffusion coefficient parameters, and initial pollutant concentration parameters;

[0030] According to the groundwater pollutant migration algorithm, a one-dimensional diffusion equation of a steady source and a one-dimensional diffusion equation of an instantaneous source are obtained;

[0031] Calculate the pollutant concentrations at different times and locations based on the one-dimensional diffusion equation of the stable source and the one-dimensional diffusion equation of the instantaneous source according to the effective porosity parameter, the actual average groundwater velocity parameter, the diffusion coefficient parameter and the initial concentration parameter of the pollutant;

[0032] A pollutant migration and diffusion concentration curve is generated according to the pollutant concentrations at different times and locations.

[0033] In some embodiments, determining the pollution source and identifying the downstream sensitive points according to the groundwater pollution point and the pollutant migration and diffusion concentration curve includes:

[0034] Calculate the pollutant migration range according to the groundwater pollution point and the pollutant migration and diffusion concentration curve;

[0035] Obtaining groundwater flow direction and dual-source distribution; wherein the dual-source distribution is the distribution of pollution sources and clean water sources;

[0036] According to the migration range of the pollutants combined with the groundwater flow direction and dual-source distribution, the pollution source is determined and the downstream sensitive points are identified.

[0037] In addition, to achieve the above purpose, the present invention also proposes a groundwater pollution early warning analysis device suitable for dual-source areas, comprising:

[0038] Model building module for building groundwater contaminant migration algorithms;

[0039] A function built-in module, used for encapsulating and building in the function of the groundwater pollutant migration algorithm;

[0040] A parameter calculation module, used to receive current input parameters based on a parameter input window, and obtain a pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm;

[0041] The monitoring and judgment module is used to judge the status of the monitoring well according to the preset warning threshold value to screen out the groundwater pollution points;

[0042] The determination and identification module is used to determine the pollution source and identify the downstream sensitive points according to the groundwater pollution point and the pollutant migration and diffusion concentration curve.

[0043] In addition, to achieve the above-mentioned purpose, the present invention also proposes an electronic device, which includes: a memory, a processor, and a groundwater pollution early warning analysis program suitable for dual-source areas stored in the memory and executable on the processor, wherein the groundwater pollution early warning analysis program suitable for dual-source areas is configured to implement the groundwater pollution early warning analysis method suitable for dual-source areas as described above.

[0044] The present invention provides a groundwater pollution early warning analysis method suitable for dual-source areas, including: constructing a groundwater pollutant migration algorithm; encapsulating and embedding the groundwater pollutant migration algorithm into a function; receiving current input parameters based on a parameter input window, and obtaining a pollutant migration and diffusion concentration curve based on the current input parameters and the groundwater pollutant migration algorithm; judging the state of the monitoring well according to a preset early warning threshold to screen out groundwater pollution points; determining the pollution source and identifying downstream sensitive points based on the groundwater pollution points and the pollutant migration and diffusion concentration curve. In the present invention, a groundwater pollutant migration algorithm is constructed by computer technology and encapsulated into a function, and parameters related to groundwater pollutant migration are input through a parameter input window. Combined with groundwater quality monitoring data and dual-source point data, the potential source determination of groundwater pollution events and the identification of sensitive points within the pollution impact range are realized, thereby realizing rapid early warning analysis of groundwater pollution in the "dual-source" area, providing good technical support for groundwater environmental event management. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of the structure of an electronic device in a hardware operating environment involved in an embodiment of the present invention;

[0046] Figure 2 It is a flow chart of an embodiment of a groundwater pollution early warning analysis method suitable for a dual-source area of ​​the present invention;

[0047] Figure 3 A schematic diagram of a parameter input display interface involved in an embodiment of the present invention;

[0048] Figure 4 A schematic diagram of a pollution diffusion distance calculation and display interface involved in an embodiment of the present invention;

[0049] Figure 5 A schematic diagram of a pollution source tracing determination display interface involved in an embodiment of the present invention;

[0050] Figure 6 This is a schematic diagram of a water source pollution early warning identification display interface involved in an embodiment of the present invention;

[0051] Figure 7The present invention is a structural block diagram of an embodiment of a groundwater pollution early warning analysis device suitable for dual-source areas.

[0052] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0055] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of an electronic device of the hardware operating environment involved in the embodiment of the present invention.

[0057] like Figure 1As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM memory) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0058] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0059] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a groundwater pollution early warning analysis program suitable for dual-source areas.

[0060] exist Figure 1 In the electronic device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the electronic device of the present invention can be set in the electronic device, and the electronic device calls the groundwater pollution early warning analysis program suitable for the dual-source area stored in the memory 1005 through the processor 1001, and executes the groundwater pollution early warning analysis method suitable for the dual-source area provided by the embodiment of the present invention.

[0061] The present invention provides a groundwater pollution early warning analysis method, device and equipment suitable for dual-source areas.

[0062] The embodiment of the present invention provides a groundwater pollution early warning analysis method suitable for dual-source areas, referring to Figure 2 , Figure 2 The figure is a flow chart of an embodiment of a groundwater pollution early warning analysis method suitable for dual-source areas according to the present invention.

[0063] like Figure 2 As shown, the groundwater pollution early warning analysis method suitable for dual-source areas includes:

[0064] Step S100: constructing a groundwater pollutant migration algorithm;

[0065] Step S200: encapsulating and embedding the groundwater pollutant migration algorithm into a function;

[0066] Step S300: receiving current input parameters based on the parameter input window, and obtaining a pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm;

[0067] Step S400: judging the status of the monitoring well according to the preset warning threshold value to screen out groundwater pollution points;

[0068] Step S500: Determine the pollution source and identify the downstream sensitive points according to the groundwater pollution point and the pollutant migration and diffusion concentration curve.

[0069] It should be noted that the execution subject in this embodiment may be an electronic device, which may be a computer device with data processing functions, or other devices that can achieve the same or similar functions. This embodiment does not limit this. In this embodiment, a computer device is used as an example for explanation.

[0070] It is understandable that groundwater pollution has a certain degree of mobility and concealment. When the groundwater quality is found to be abnormal and polluted through groundwater monitoring wells, how to quickly identify the potential source of pollution and the sensitive points within the pollution impact range is a problem of great concern to the groundwater environment management department. In order to solve the problem of rapid analysis and response for the prevention and control of groundwater pollution incidents in the "dual source" area, this embodiment uses Webgis and combines hydrogeological expertise to construct a groundwater pollution early warning analysis method suitable for the "dual source" area (groundwater drinking water source and key pollution source), which is applied to upstream pollution tracing of pollution monitoring wells and downstream sensitive target early warning, and combines groundwater flow field and pollution parameters to quickly determine the pollution source and identify downstream sensitive points.

[0071] In this embodiment, the groundwater pollutant migration algorithm is implemented and encapsulated into a function through computer technology. At the same time, the groundwater pollutant migration related parameters are input through a visual interface to realize the input of calculation parameters. Combined with groundwater quality monitoring data and dual-source point data, the potential source determination of groundwater pollution events and the identification of sensitive points within the pollution impact range are realized. The method described in this embodiment is described below in combination with specific steps.

[0072] In one embodiment, a groundwater pollutant migration algorithm is constructed, including: constructing a groundwater pollutant migration mathematical model based on the groundwater pollutant migration change process; converting the groundwater pollutant migration mathematical model into a well-defined problem of a second-order linear homogeneous partial differential equation; solving the well-defined problem of the second-order linear homogeneous partial differential equation to obtain a one-dimensional diffusion equation for a stable source and a one-dimensional diffusion equation for an instantaneous source.

[0073] In one embodiment, the mathematical model of groundwater pollutant migration takes the impermeable bottom plate as the x-axis and the river as the origin. The mathematical model of groundwater pollutant migration is:

[0074]

[0075] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

[0076] It should be noted that the premise for achieving rapid early warning of groundwater pollution is to characterize the migration and change process of groundwater pollutants. The mathematical model of groundwater pollutant migration is as follows:

[0077]

[0078] Among them, the convection-diffusion equation can be used to describe the migration process of groundwater pollutants, combining convection (the movement of pollutants caused by groundwater flow) and diffusion (the mixing of pollutants caused by molecular diffusion and mechanical dispersion). Here, c represents the pollutant concentration, t represents time, V represents the actual average groundwater flow velocity, D is the diffusion coefficient (diffusion tensor, which describes the diffusion capacity of pollutants), and n represents the effective porosity.

[0079] In one embodiment, the well-defined problem of the second-order linear homogeneous partial differential equation is solved to obtain a one-dimensional diffusion equation for a steady source and a one-dimensional diffusion equation for an instantaneous source, including: assuming that the actual average flow velocity of groundwater is a constant; when the actual average flow velocity of groundwater is a constant, solving the well-defined problem of the second-order linear homogeneous partial differential equation based on the Laplace integral transform method to obtain the one-dimensional diffusion equation for a steady source; when assuming that a pollution source instantaneously recharges a confined aquifer to pollute the groundwater, simplifying the well-defined problem of the second-order linear homogeneous partial differential equation to a one-dimensional diffusion equation for an instantaneous source.

[0080] In one embodiment, the one-dimensional diffusion equation of the stable source is:

[0081]

[0082] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

[0083] In one embodiment, the instantaneous source one-dimensional diffusion equation is:

[0084]

[0085] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

[0086] For example, the one-dimensional diffusion equation of a stable source: Here, assuming that the actual average groundwater velocity V is a constant, the above equation (the mathematical model of groundwater pollutant migration) is a general second-order linear homogeneous partial differential equation with a fixed solution problem, which can be solved by the Laplace integral transform method. The original function solution is:

[0087]

[0088] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; c0 is the initial concentration of pollutants; and t is time.

[0089] Exemplarily, the instantaneous source one-dimensional diffusion equation: Assuming that in the above-mentioned well-solved problem (well-solved problem of second-order linear homogeneous partial differential equation), it is assumed that the pollution source instantaneously recharges the confined aquifer to cause groundwater pollution, the well-solved equation obtained in this way is simplified to:

[0090]

[0091] Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; c0 is the initial concentration of pollutants; and t is time.

[0092] It is understandable that the characterization of the migration and change process of groundwater pollutants usually involves the establishment of mathematical models that can describe the movement and changes of pollutants in groundwater. The following mathematical models can be used to describe the migration process of groundwater pollutants: for example, the convection-diffusion equation, the reaction-transport equation (based on the convection-diffusion equation, adding the influence of chemical reactions), multi-component transport models, random models, and numerical models. In practical applications, in order to more accurately describe the migration process of pollutants, it is necessary to select appropriate models and parameters according to actual conditions.

[0093] In one embodiment, current input parameters are received based on a parameter input window, and a pollutant migration and diffusion concentration curve is obtained according to the current input parameters and the groundwater pollutant migration algorithm, including: receiving current input parameters based on the parameter input window; wherein the current input parameters include effective porosity parameters, actual average groundwater flow velocity parameters, diffusion coefficient parameters and pollutant initial concentration parameters; obtaining a one-dimensional diffusion equation for a steady source and a one-dimensional diffusion equation for an instantaneous source according to the groundwater pollutant migration algorithm; calculating pollutant concentrations at different times and locations based on the effective porosity parameters, actual average groundwater flow velocity parameters, diffusion coefficient parameters and pollutant initial concentration parameters based on the one-dimensional diffusion equation for a steady source and the one-dimensional diffusion equation for an instantaneous source; and generating a pollutant migration and diffusion concentration curve according to the pollutant concentrations at different times and locations.

[0094] Specifically, parameter input and pollution diffusion distance calculation: provide interactive input of calculation parameters on the web page (such as Figure 3 As shown in the above equations (stable source one-dimensional diffusion equation and instantaneous source one-dimensional diffusion equation), when the four parameters n (effective porosity), V (actual average groundwater velocity), D (diffusion coefficient), and c0 (initial concentration of pollutants) are known, the concentration of pollutants at different times and locations can be obtained. In this embodiment, a convenient parameter input window is provided for users to input relevant parameters. After obtaining the relevant parameters, the migration and diffusion concentration curves of pollutants at different distances at a certain moment can be calculated (such as Figure 4 The diffusion distance of the pollutant at a certain moment.

[0095] In one embodiment, the status of the monitoring well is judged according to a preset warning threshold value to screen out groundwater pollution points.

[0096] In one embodiment, the pollution source is determined and the downstream sensitive points are identified based on the groundwater pollution point location and the pollutant migration and diffusion concentration curve, including: calculating the pollutant migration range based on the groundwater pollution point location and the pollutant migration and diffusion concentration curve; obtaining the groundwater flow direction and dual-source distribution; wherein the dual-source distribution is the distribution of pollution source and clean water source; according to the pollutant migration range combined with the groundwater flow direction and dual-source distribution, the pollution source is determined and the downstream sensitive points are identified.

[0097] Specifically, groundwater environmental emergency event analysis: by monitoring groundwater quality, comprehensively using the water quality category and change trend of monitoring wells for early warning, judging the status of monitoring wells according to the set early warning threshold, quickly screening out groundwater pollution points, and for early warning points, using the above-mentioned groundwater pollutant migration algorithm to calculate the migration range of pollutants, combined with groundwater flow direction and "dual source" distribution, quickly determine the pollution source (such as Figure 5 ) and identification of downstream sensitive points (as shown in Figure 6 shown).

[0098] For example, emergency event analysis: by sampling and analyzing water quality in monitoring wells at different locations, the water quality parameters of groundwater (such as pollutant concentration, pH value, dissolved oxygen, etc.) can be obtained; monitoring well water quality category and change trend warning: according to the monitoring data, the water quality of the monitoring well is divided into different categories (such as Class I, Class II, etc., according to local water quality standards), and its change trend is analyzed. If the water quality category decreases or the pollutant concentration increases, this may indicate the occurrence of a groundwater pollution incident, and the early warning mechanism needs to be activated at this time; early warning threshold and state judgment: set early warning thresholds, and when the monitoring data exceeds these thresholds, the state of the monitoring well is considered abnormal. These thresholds can be the upper limit of the pollutant concentration, or a specific level of the water quality category; quickly screen out groundwater pollution points: through the early warning mechanism, it is possible to quickly determine which monitoring wells may be contaminated, so as to conduct further investigation and analysis of these points in a targeted manner.

[0099] Exemplarily, the groundwater pollutant migration algorithm is used to calculate the migration range of pollutants: for the points that have been warned, the groundwater pollutant migration algorithm of this embodiment is used to predict the migration path and range of pollutants in groundwater; combined with the groundwater flow direction and the "dual source" distribution: the "dual source" distribution can be the distribution of pollution sources and clean water sources. Combined with the groundwater flow direction and the distribution of these water sources, the source of pollutants can be judged more accurately; pollution source determination and downstream sensitive point identification are quickly performed: based on the simulation results of pollutant migration and the groundwater flow direction, the location of the pollution source can be quickly determined, and sensitive points downstream that may be affected by pollution (such as drinking water sources for residents, agricultural production areas, etc.) can be identified.

[0100] It should be noted that this embodiment realizes rapid early warning analysis of groundwater pollution in the "dual source" area through the built-in groundwater pollutant migration algorithm, interactive input of calculation parameters on the web page, and identification of pollution source tracing range and sensitive early warning points, providing good technical support for groundwater environmental event management. The application system developed and implemented by the method described in this embodiment can serve groundwater environmental management departments and technical units, and provide a set of efficient and feasible groundwater pollution early warning analysis solutions for groundwater environment and emergency event handling personnel.

[0101] In this embodiment, the method is suitable for early warning analysis of groundwater pollution in "dual source" areas. By applying a groundwater pollutant migration algorithm and combining regional groundwater quality monitoring data and dual-source point data, it can determine the potential sources of groundwater pollution incidents and identify sensitive points within the pollution impact range, providing good technical support for groundwater environmental event management.

[0102] This embodiment provides a groundwater pollution early warning analysis method suitable for dual-source areas, including: constructing a groundwater pollutant migration algorithm; encapsulating and embedding the groundwater pollutant migration algorithm into a function; receiving current input parameters based on a parameter input window, and obtaining a pollutant migration and diffusion concentration curve based on the current input parameters and the groundwater pollutant migration algorithm; judging the state of the monitoring well according to a preset early warning threshold to screen out groundwater pollution points; determining the pollution source and identifying downstream sensitive points based on the groundwater pollution points and the pollutant migration and diffusion concentration curve. In this embodiment, a groundwater pollutant migration algorithm is constructed and encapsulated into a function through computer technology, and parameters related to groundwater pollutant migration are input through a parameter input window. Combined with groundwater quality monitoring data and dual-source point data, the potential source determination of groundwater pollution events and the identification of sensitive points within the pollution impact range are realized, thereby realizing rapid early warning analysis of groundwater pollution in the "dual-source" area, providing good technical support for groundwater environmental event management.

[0103] In addition, an embodiment of the present invention also proposes a storage medium, on which is stored a groundwater pollution early warning analysis program suitable for a dual-source area. When the groundwater pollution early warning analysis program suitable for a dual-source area is executed by a processor, the steps of the groundwater pollution early warning analysis method suitable for a dual-source area as described above are implemented.

[0104] Reference Figure 7 , Figure 7 The present invention is a structural block diagram of an embodiment of a groundwater pollution early warning analysis device suitable for dual-source areas.

[0105] like Figure 7 As shown, the groundwater pollution early warning analysis device suitable for the dual-source area includes:

[0106] A model building module 10, for building a groundwater pollutant migration algorithm;

[0107] A function built-in module 20, used for encapsulating and building the groundwater pollutant migration algorithm into a function;

[0108] A parameter calculation module 30, for receiving current input parameters based on a parameter input window, and obtaining a pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm;

[0109] The monitoring and judging module 40 is used to judge the status of the monitoring well according to the preset warning threshold value to screen out the groundwater pollution points;

[0110] The determination and identification module 50 is used to determine the pollution source and identify the downstream sensitive points according to the groundwater pollution point and the pollutant migration and diffusion concentration curve.

[0111] It should be noted that this embodiment realizes rapid early warning analysis of groundwater pollution in the "dual source" area through the built-in groundwater pollutant migration algorithm, interactive input of calculation parameters on the web page, and identification of pollution source tracing range and sensitive early warning points, providing good technical support for groundwater environmental event management. The device described in this embodiment can serve groundwater environmental management departments and technical units, and provide a set of efficient and feasible groundwater pollution early warning analysis solutions for groundwater environment and emergency event handling personnel.

[0112] The present embodiment provides a groundwater pollution early warning analysis device suitable for dual-source areas. The device in the present embodiment constructs a groundwater pollutant migration algorithm through computer technology and encapsulates it into a function. At the same time, parameters related to groundwater pollutant migration are input through a parameter input window. Combined with groundwater quality monitoring data and dual-source point data, potential sources of groundwater pollution events can be determined and sensitive points within the pollution impact range can be identified, thereby realizing rapid early warning analysis of groundwater pollution in the "dual-source" area and providing good technical support for groundwater environmental event management.

[0113] It should be noted that the technical details that are not fully described in the embodiment of the groundwater pollution early warning analysis device suitable for dual-source areas can be referred to the groundwater pollution early warning analysis method suitable for dual-source areas as described above provided in any embodiment of the present invention, and will not be repeated here.

[0114] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0115] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0116] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0117] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0118] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0119] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A groundwater pollution early warning analysis method suitable for dual-source areas, characterized in that: include: Constructing groundwater contaminant migration algorithms; Function encapsulation and built-in of the groundwater pollutant migration algorithm; Receiving current input parameters based on the parameter input window, and obtaining a pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm; The status of the monitoring wells is judged according to the preset warning threshold to screen out groundwater pollution points; The pollution source is determined and the downstream sensitive points are identified based on the groundwater pollution points and the pollutant migration and diffusion concentration curve.

2. The method according to claim 1, characterized in that The method of constructing a groundwater pollutant migration algorithm comprises: Construct a mathematical model of groundwater pollutant migration based on the migration and change process of groundwater pollutants; Converting the mathematical model of groundwater contaminant migration into a well-defined problem of a second-order linear homogeneous partial differential equation; The well-defined problem of the second-order linear homogeneous partial differential equation is solved to obtain a one-dimensional diffusion equation for a stable source and a one-dimensional diffusion equation for an instantaneous source.

3. The method according to claim 2, characterized in that The mathematical model of groundwater pollutant migration takes the impermeable bottom plate as the x-axis and the river as the origin. The mathematical model of groundwater pollutant migration is: Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

4. The method according to claim 2, characterized in that The method of solving the well-defined problem of the second-order linear homogeneous partial differential equation to obtain a one-dimensional diffusion equation for a stable source and a one-dimensional diffusion equation for an instantaneous source includes: Assume that the actual average groundwater flow rate is constant; When the actual average velocity of groundwater is constant, the definite solution problem of the second-order linear homogeneous partial differential equation is solved based on the Laplace integral transform method to obtain a stable source one-dimensional diffusion equation; When it is assumed that the pollution source instantaneously recharges the confined aquifer to pollute the groundwater, the well-defined problem of the second-order linear homogeneous partial differential equation is simplified to a one-dimensional diffusion equation of the instantaneous source.

5. The method according to claim 4, characterized in that The one-dimensional diffusion equation of the stable source is: Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

6. The method according to claim 4, characterized in that The instantaneous source one-dimensional diffusion equation is: Where D is the diffusion coefficient; V is the actual average velocity of groundwater; n is the effective porosity; and c0 is the initial concentration of pollutants.

7. The method according to claim 1, characterized in that The method of receiving the current input parameters based on the parameter input window and obtaining the pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm includes: Receiving current input parameters based on the parameter input window; wherein the current input parameters include effective porosity parameters, actual average groundwater flow velocity parameters, diffusion coefficient parameters, and initial pollutant concentration parameters; According to the groundwater pollutant migration algorithm, a one-dimensional diffusion equation of a steady source and a one-dimensional diffusion equation of an instantaneous source are obtained; Calculate the pollutant concentrations at different times and locations based on the one-dimensional diffusion equation of the stable source and the one-dimensional diffusion equation of the instantaneous source according to the effective porosity parameter, the actual average groundwater velocity parameter, the diffusion coefficient parameter and the initial concentration parameter of the pollutant; A pollutant migration and diffusion concentration curve is generated according to the pollutant concentrations at different times and locations.

8. The method according to claim 1, characterized in that Determining the pollution source and identifying the downstream sensitive points according to the groundwater pollution point and the pollutant migration and diffusion concentration curve includes: Calculate the pollutant migration range according to the groundwater pollution point and the pollutant migration and diffusion concentration curve; Obtaining groundwater flow direction and dual-source distribution; wherein the dual-source distribution is the distribution of pollution sources and clean water sources; According to the migration range of the pollutants combined with the groundwater flow direction and dual-source distribution, the pollution source is determined and the downstream sensitive points are identified.

9. A groundwater pollution early warning analysis device suitable for dual-source areas, characterized in that: include: A model building module for building groundwater contaminant migration algorithms; A function built-in module, used for encapsulating and building in the function of the groundwater pollutant migration algorithm; A parameter calculation module, used to receive current input parameters based on a parameter input window, and obtain a pollutant migration and diffusion concentration curve according to the current input parameters and the groundwater pollutant migration algorithm; The monitoring and judgment module is used to judge the status of the monitoring well according to the preset warning threshold value to screen out the groundwater pollution points; The determination and identification module is used to determine the pollution source and identify the downstream sensitive points according to the groundwater pollution point and the pollutant migration and diffusion concentration curve.

10. An electronic device, characterized in that: The electronic device includes: a memory, a processor, and a groundwater pollution early warning analysis program suitable for dual-source areas stored in the memory and executable on the processor, wherein the groundwater pollution early warning analysis program suitable for dual-source areas is configured to implement a groundwater pollution early warning analysis method suitable for dual-source areas as described in any one of claims 1 to 8.

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