Groundwater pollution source analysis methods, systems, equipment, media and products

Abstract

The present application discloses a method, system, equipment, medium and product for analyzing groundwater pollution sources, which relates to the field of groundwater pollution control. The method includes: setting up multiple monitoring points in the groundwater pollution area, and obtaining the non-biological element monitoring indicators and biological element monitoring indicators of each monitoring point; inputting the non-biological element monitoring indicators into the receptor model to determine the number of pollution sources and the characteristic pollutants of each pollution source; determining the first initial type of pollution sources at each monitoring point based on the proportion of each pollution source; determining the second initial type of pollution sources at each monitoring point based on the coexistence network of bacterial functional genes of the biological element monitoring indicators and each pollution source; determining the characteristics of pollution sources at each monitoring point based on the first initial type and the second initial type. The present application can realize the accurate analysis of groundwater pollution sources.

Description

Technical Field

[0001] The present application relates to the field of groundwater pollution control, and in particular to a method, system, equipment, medium and product for groundwater pollution source analysis. Background Art

[0002] The resource and ecological value of groundwater depends not only on its amount of water, but also on its quality. In recent years, although the quality of groundwater environment has been stable and improving, in some key areas, groundwater quality has shown a trend of regional complex pollution development, and groundwater pollution has attracted public attention. However, the groundwater hydrogeological conditions are complex and diverse, and pollutants from geological sources (natural environment) and anthropogenic sources (human activities) coexist in groundwater. The distribution and migration and transformation mechanisms of pollutants are extremely complex, which brings many challenges to the identification of groundwater pollution sources.

[0003] Pollution source analysis usually involves two key aspects: identification of pollution source types and analysis of the contribution of each source to pollutants. In current pollutant analysis technology, receptor models are one of the most important and commonly used tools. However, receptor models can usually only provide the number of pollution sources, and identification of specific pollution source types relies more on empirical judgment, which will affect the performance of receptor models in terms of accuracy and reliability of source analysis. Summary of the invention

[0004] The purpose of this application is to provide a method, system, equipment, medium and product for groundwater pollution source analysis, which can comprehensively analyze the biological and non-biological elements in the groundwater system and achieve accurate analysis of groundwater pollution sources.

[0005] To achieve the above objectives, this application provides the following solutions.

[0006] In the first aspect, the present application provides a method for analyzing groundwater pollution sources, including: setting up multiple monitoring points in the groundwater pollution area, and obtaining non-biological factor monitoring indicators and biological factor monitoring indicators at each monitoring point; inputting the non-biological factor monitoring indicators into the receptor model to determine the number of pollution sources and the characteristic pollutants of each pollution source; determining the first initial type of the pollution source at each monitoring point based on the proportion of each pollution source; determining the second initial type of the pollution source at each monitoring point based on the coexistence network of the bacterial community functional genes of the biological factor monitoring indicators and each pollution source; and determining the characteristics of the pollution source at each monitoring point based on the first initial type and the second initial type.

[0007] In the second aspect, the present application provides a groundwater pollution source analysis system, including: a monitoring index acquisition module, which is used to deploy multiple monitoring points in the groundwater pollution area and obtain non-biological factor monitoring indicators and biological factor monitoring indicators of each monitoring point; an input module, which is used to input the non-biological factor monitoring indicators into the receptor model to determine the number of pollution sources and the characteristic pollutants of each pollution source; a first initial type determination module, which is used to determine the first initial type of the pollution source at each monitoring point based on the proportion of each pollution source; a second initial type determination module, which is used to determine the second initial type of the pollution source at each monitoring point based on the coexistence network of the bacterial community functional genes of the biological factor monitoring indicators and each pollution source; a pollution source characteristic determination module, which is used to determine the pollution source characteristics of each monitoring point based on the first initial type and the second initial type.

[0008] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-described methods for analyzing groundwater pollution sources.

[0009] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for analyzing groundwater pollution sources.

[0010] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for analyzing groundwater pollution sources.

[0011] According to the specific embodiments provided in the present application, the present application discloses the following technical effects: The present application provides a method, system, equipment, medium and product for analyzing the source of groundwater pollution. Starting from the "multi-factor" monitoring of non-biological and biological elements, the coexistence network of bacterial community functional genes and pollution sources of receptor models and biological element monitoring indicators is used to accurately identify groundwater pollutants, providing effective technical means for the protection of underground ecosystems. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 A schematic diagram of a process for analyzing groundwater pollution sources provided in one embodiment of the present application.

[0014] Figure 2 Schematic diagram of the contribution of characteristic pollutants from different pollution sources in a certain area.

[0015] Figure 3 Schematic diagram of the proportion of each pollutant source at each monitoring point in a certain area.

[0016] Figure 4 This is a coexistence network diagram of functional genes of bacterial communities and various pollution sources in groundwater in a certain area.

[0017] Figure 5 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] The groundwater ecosystem contains abiotic (nutrients, inorganic matter, organic matter and new pollutants, etc.) and biotic (microorganisms such as bacteria, fungi, archaea) components. Their spatiotemporal distribution and interactions are not only closely related to water quality, but also objectively reflect the input of exogenous substances and human influence. In particular, the understanding of groundwater microbial communities can provide effective scientific and technological support for water quality protection and pollution source analysis. Therefore, only by comprehensively analyzing the biological and non-biological elements in the groundwater system can we achieve accurate analysis of the source of groundwater pollution.

[0020] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0021] In an exemplary embodiment, Figure 1 As shown, a method for analyzing groundwater pollution sources is provided. The method is executed by a computer device, and can be specifically executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In an embodiment of the present application, the method is applied to a server as an example for explanation, including the following steps S1 to S5.

[0022] S1: Set up multiple monitoring points in the groundwater pollution area and obtain the non-biological factor monitoring indicators and biological factor monitoring indicators of each monitoring point. The non-biological factor monitoring indicators include: solutes, nutrients, trace metal elements and new pollutants. The biological factor monitoring indicators include: bacterial community structure and bacterial community functional gene spectrum.

[0023] In a specific embodiment, the basic principles of hydrogeological zoning, comprehensive regional coverage and uniform distribution are fully considered, multiple monitoring points are deployed in the groundwater pollution area, water samples are collected for non-biological element monitoring, and the concentrations of 8 solutes, 7 nutrients, 42 trace metal elements and 186 new pollutants are measured, and a total of 41 non-biological element monitoring indicators are detected.

[0024] In addition, in order to eliminate the influence of the content differences between different abiotic factor monitoring indicators on the result analysis, the 41 abiotic factor monitoring indicators were standardized, and the formula is as follows:

[0025]

[0026] Where: is the standardized value; is the concentration value of the monitoring index of the i-th abiotic factor; is the minimum concentration of the i-th abiotic factor monitoring indicator among all monitoring points; is the maximum concentration of the i-th abiotic factor monitoring indicator among all monitoring points. After standardization, the value range is between 0 and 1.

[0027] At each monitoring point, microbial samples were simultaneously enriched, DNA was extracted, barcode fragments were amplified for bacterial communities, and high-throughput sequencing data was performed. Based on the high-throughput sequencing data, the relative abundance and species annotation of the corresponding operational taxonomic unit (OTU) at the monitoring point were determined, and the key functional genes of the bacterial community were predicted using PICRUST software to obtain the functional gene spectrum of the bacterial community.

[0028] S2: Input the abiotic factor monitoring indicators into the receptor model to determine the number of pollution sources and the characteristic pollutants of each pollution source.

[0029] The standardized non-biological factor monitoring indicators are imported into the receptor model Unmix for indicator optimization screening and determination of the number of pollution sources.

[0030] After the receptor model Unmix calculation, a total of 18 abiotic factor monitoring indicators were screened out (PO 3 、As、Se、NO 3TN, COD Mn NH 4 -N, Fe, Mn, Co, Thar, TDS, SO 4 2- , Cl - 、Na + , Ca 2+ Mg 2+ , B) as indicator factors.

[0031] After the receptor model Unmix, it was determined that the number of pollution sources was 5, namely Source1, Source2, Source3, Source4 and Source5.

[0032] Further determine the characteristic pollutants of each pollution source, such as Figure 2 As shown, Source1 in PO 3 (42.3%), As (85.7%) and Se (80.5%) contributed more. 3 (80.3%) and TN (76.1%) contributed more. COD Mn (91.2%) and NH 4 -N (74.4%) contributed more, while Fe (76.3%), Mn (67.9%) and Co (71.7%) contributed more in Source 4, Thar, TDS and some anions and cations SO in Source 5 4 2- , Cl - 、Na + , Ca 2+ Mg 2+ , B's contribution is higher.

[0033] S3: Determine the first initial type of the pollution source at each monitoring point based on the proportion of each pollution source.

[0034] In a specific embodiment, Figure 3As shown, in monitoring point 1, monitoring point 5, and monitoring point 9, Source2 and Source5 account for a relatively high proportion, and their first initial types of pollution sources are Source2 and Source5; in monitoring point 2, monitoring point 8, monitoring point 10, and monitoring point 11, Source4 and Source5 account for a relatively high proportion, and their first initial types of pollution sources are Source4 and Source5; in monitoring point 3, Source3 (71.47%) accounts for a relatively high proportion, and the first initial type of pollutant source is Source3; in monitoring point 6 and monitoring point 12, Source3 and Source5 account for a relatively high proportion, and their first initial types of pollutant sources are Source3 and Source5; in monitoring point 7, the proportions of various pollution sources are relatively even, and the first initial type of its pollutant source is a mixed source of various sources.

[0035] S4: Based on the coexistence network of the bacterial community functional genes of the biological element monitoring indicators and each pollution source, determine the second initial type of the pollution source at each monitoring point. Specifically, it includes: judging whether the association between each pollution source and the bacterial community functional genes exceeds a preset range based on the coexistence network; if so, determining that the second initial type of the pollution source is man-made pollution; if not, determining that the second initial type of the pollution source is natural pollution.

[0036] In a specific embodiment, Figure 4 As shown in the figure, based on the functional genes of bacterial communities predicted by PICRUST software, a coexistence network of groundwater bacterial community functional genes and five pollution sources in a certain area was constructed. It can be observed that the node degrees of Source2 and Source3 in the coexistence network are significantly greater than those of other pollution sources, indicating that the functional genes of groundwater bacterial communities in this area are more strongly associated with Source2 and Source3, that is, Source2 and Source3 are environmental factors that have an important impact on the functional genes of bacterial communities, and there is an essential difference in the effects of other sources on groundwater bacterial communities. Because the feedback of bacterial community functional genes to human activities is more significant, it is judged that Source2 and Source3 are dominated by human activities. In comparison, the degree of connection between other sources and bacterial community functional genes is weaker, indicating that this association may be the result of long-term natural evolution and adaptation, and it is judged that other sources are dominated by natural sources.

[0037] It is determined that the second initial type of pollutant sources in monitoring point 1, monitoring point 5, monitoring point 6, monitoring point 7, monitoring point 9 and monitoring point 12 is the combined pollution of natural sources and human sources; the second initial type of pollutant sources in monitoring point 2, monitoring point 8, monitoring point 10 and monitoring point 11 is natural source pollution; the second initial type of pollutant sources in monitoring point 3 is human source pollution.

[0038] S5: Determine the pollution source characteristics of each monitoring point based on the first initial type and the second initial type.

[0039] Combined with Source2 (NO 3 and TN) and Source3 (COD Mn and NH 4 -N) and the characteristics of anthropogenic sources, Source 2 is judged to be an agricultural source and Source 3 is a domestic source. Therefore, it is determined that monitoring points 1, 5, and 9 are dominated by agricultural and natural source composite pollution, and the characteristic pollutants of agricultural sources are NO 3 and TN, the characteristic pollutants from natural sources are Thar, TDS and some anions and cations SO 4 2- , Cl - 、Na + , Ca 2+ Mg 2+ , B; In monitoring point 3, the main source is domestic sources, and the characteristic pollutant is COD Mn and NH 4 -N; In monitoring points 6 and 12, the combined pollution from domestic and natural sources is dominant, and the characteristic pollutants from domestic sources are COD Mn and NH 4 -N, the characteristic pollutants from natural sources are Thar, TDS and some anions and cations SO 4 2- , Cl - 、Na + , Ca 2+ Mg 2+ , B; Monitoring points 2, 8, 10, and 11 are dominated by natural sources and are less disturbed by human activities; the pollution sources at monitoring point 7 are jointly dominated by domestic sources, agricultural sources, and natural sources.

[0040] Based on the same inventive concept, the embodiment of the present application also provides a system for implementing the above-mentioned groundwater pollution source analysis method. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more groundwater pollution source analysis system embodiments provided below can refer to the above-mentioned limitations on the groundwater pollution source analysis method, and will not be repeated here.

[0041] In an exemplary embodiment, a groundwater pollution source analysis system is provided, comprising the following modules.

[0042] The monitoring index acquisition module is used to deploy multiple monitoring points in the groundwater pollution area and obtain the non-biological factor monitoring indicators and biological factor monitoring indicators of each monitoring point.

[0043] The input module is used to input the non-biological element monitoring indicators into the receptor model to determine the number of pollution sources and the characteristic pollutants of each pollution source.

[0044] The first initial type determination module is used to determine the first initial type of the pollution source at each monitoring point based on the proportion of each pollution source.

[0045] The second initial type determination module is used to determine the second initial type of the pollution source at each monitoring point based on the coexistence network of the bacterial community functional genes of the biological element monitoring indicators and each pollution source.

[0046] A pollution source characteristic determination module is used to determine the pollution source characteristics of each monitoring point based on the first initial type and the second initial type.

[0047] As an optional implementation, the pollution source second initial type determination module specifically includes the following units.

[0048] A judgment unit is used to judge whether the association between each pollution source and the functional gene of the bacterial community exceeds a preset range based on the coexistence network.

[0049] The first result determination unit is used to determine that the second initial type of the pollution source is human-caused pollution when it is determined that the correlation between each pollution source and the bacterial community functional gene exceeds a preset range.

[0050] The second result determination unit is used to determine that the second initial type of the pollution source is natural source pollution when it is determined that the correlation between each pollution source and the bacterial community functional gene does not exceed a preset range.

[0051] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program. The computer device may be a server or a terminal, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data to be processed. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for analyzing groundwater pollution sources is implemented.

[0052] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0053] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0054] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0055] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0056] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0057] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0058] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0059] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for groundwater pollution source analysis, characterized in that: include: Set up multiple monitoring points in the groundwater pollution area and obtain the monitoring indicators of non-biological factors and biological factors at each monitoring point; Inputting the abiotic factor monitoring indicators into the receptor model to determine the number of pollution sources and the characteristic pollutants of each pollution source; Determine the first initial type of pollution source at each monitoring point based on the proportion of each pollution source; the first initial type is the pollution source; Based on the coexistence network of the bacterial community functional genes of the biological element monitoring indicators and each pollution source, determine the second initial type of the pollution source at each monitoring point; the second initial type includes human-source pollution and natural-source pollution; Determine the pollution source characteristics of each monitoring point based on the first initial type and the second initial type; specifically, determine the pollution source characteristics of each monitoring point based on the characteristic pollutant composition of each pollution source in the first initial type and the characteristics of the second initial type.

2. The method for groundwater pollution source analysis according to claim 1, characterized in that: The non-biological factor monitoring indicators include: solutes, nutrients, trace metal elements and new pollutants.

3. The method for groundwater pollution source analysis according to claim 1, characterized in that: After obtaining the non-biological factor monitoring indicators of each monitoring point, it also includes: The abiotic factor monitoring indicators are standardized.

4. The method for groundwater pollution source analysis according to claim 1, characterized in that: The biological element monitoring indicators include: bacterial community structure and bacterial community functional gene spectrum.

5. The method for groundwater pollution source analysis according to claim 1, characterized in that: Based on the coexistence network of the bacterial community functional genes of the biological element monitoring indicators and each pollution source, the second initial type of the pollution source at each monitoring point is determined, specifically including: Determining whether the association between each pollution source and the functional gene of the bacterial community exceeds a preset range based on the coexistence network; If yes, then the second initial type of pollution source is determined to be human-source pollution; If not, the second initial type of pollution source is determined to be natural source pollution.

6. A groundwater pollution source analysis system, characterized in that: include: A monitoring index acquisition module is used to deploy multiple monitoring points in the groundwater pollution area and obtain the non-biological factor monitoring indicators and biological factor monitoring indicators of each monitoring point; An input module, used to input the abiotic factor monitoring indicators into the receptor model to determine the number of pollution sources and characteristic pollutants of each pollution source; A first initial type determination module, used to determine the first initial type of pollution sources at each monitoring point based on the proportion of each pollution source; the first initial type is the pollution source; A second initial type determination module is used to determine the second initial type of pollution source at each monitoring point based on the coexistence network of the bacterial community functional gene of the biological element monitoring indicator and each pollution source; the second initial type includes human-source pollution and natural-source pollution; A pollution source characteristic determination module is used to determine the pollution source characteristics of each monitoring point based on the first initial type and the second initial type; specifically, it includes determining the pollution source characteristics of each monitoring point based on the characteristic pollutant composition of each pollution source in the first initial type and the characteristics of the second initial type.

7. The groundwater pollution source analysis system according to claim 6, characterized in that: The second initial type determination module of the pollution source specifically includes: A judgment unit, used for judging whether the association between each pollution source and the functional gene of the bacterial community exceeds a preset range based on the coexistence network; a first result determination unit, configured to determine that the second initial type of the pollution source is human-caused pollution when it is determined that the correlation between each pollution source and the bacterial community functional gene exceeds a preset range; The second result determination unit is used to determine that the second initial type of the pollution source is natural source pollution when it is determined that the correlation between each pollution source and the bacterial community functional gene does not exceed a preset range.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for analyzing groundwater pollution sources according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for analyzing the source of groundwater pollution described in any one of claims 1 to 5 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for analyzing the source of groundwater pollution described in any one of claims 1 to 5 is implemented.

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