A method and device for identifying the relationship between environmental impact factors of a reservoir dam project

Abstract

The application provides a method and device for judging the relationship between environmental influence factors of a reservoir dam project, which comprises the following steps: obtaining a relationship assumption of at least two factors influencing the environmental evaluation of a reservoir dam, wherein the at least two factors in the relationship assumption have a mutual influence relationship; obtaining a literature database of the reservoir dam project; determining the literature related to the at least two factors based on the at least two factors and the literature database; performing similarity calculation based on the at least two factors and the literature, and determining the weight value corresponding to each literature based on the corresponding relationship between the similarity calculation result and the preset weight value; calculating the total score of the weight value according to the weight value corresponding to each literature, and determining whether the relationship assumption is established according to the comparison result of the total score of the weight value and the preset weight value. This process verifies and clarifies the influence relationship between the environmental influence factors of the reservoir dam project, and improves the objectivity of the environmental influence evaluation result of the reservoir dam project.

Description

Technical Field

[0001] This invention relates to the field of environmental impact assessment technology, specifically to a method and apparatus for determining the relationship between environmental impact factors of a reservoir dam project. Background Technology

[0002] Before planning and constructing reservoir dam projects, both planning environmental impact assessments and project environmental impact assessments are required. The environmental impacts of reservoir dam projects involve numerous factors, often including hydrology, sediment, local climate, water environment, environmental geology, soil environment, terrestrial and aquatic organisms, ecological integrity and sensitive ecological issues, atmospheric environment, acoustic environment, solid waste, human health, landscape and cultural relics, resettlement, and socio-economic factors. The impact area is large, often involving multiple administrative regions and sub-basins upstream and downstream of the reservoir; some water diversion projects also involve inter-basin issues. The impact duration is long, persisting with the operation of the reservoir dam and potentially evolving to generate new impacts. The assessment process is highly complex, generally including environmental status investigation and assessment, environmental impact identification, environmental impact prediction and assessment, countermeasures, and environmental monitoring and management. Therefore, the environmental impact assessment work for reservoir dam projects is generally time-consuming, aiming to identify major environmental impacts and propose response and mitigation measures through comprehensive assessment.

[0003] In related technologies, there are few methods for identifying environmental impact factors of reservoir dam projects. The influence relationships between influencing factors are usually based on pre-set influence assumptions, that is, assuming that there are influence relationships between factors. Therefore, the environmental impact assessment of reservoir dam projects is carried out based on pre-set influence assumptions, which reduces the objectivity of the environmental impact assessment results of reservoir dam projects. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the technical defects in the prior art that cannot guarantee the objectivity of the environmental impact assessment results of reservoir dam projects, thereby providing a method and apparatus for determining the relationship of environmental impact factors of reservoir dam projects.

[0005] In a first aspect, embodiments of the present invention provide a method for determining the relationship between environmental impact factors of a reservoir dam project, comprising: obtaining a relationship hypothesis of at least two factors affecting the environmental assessment of the reservoir dam, wherein the at least two factors included in the relationship hypothesis have a mutual influence relationship; obtaining a literature database of the reservoir dam project, wherein the literature database includes at least one document related to the environmental assessment of the reservoir dam; determining documents related to the at least two factors based on the at least two factors and the literature database; performing a similarity calculation based on the at least two factors and the documents, and determining the weight value corresponding to each document based on the correspondence between the similarity calculation result and a preset weight value; calculating a total weight value score based on the weight value corresponding to each document, and determining whether the relationship hypothesis is valid based on the comparison result between the total weight value score and the preset weight value.

[0006] In conjunction with the first aspect, in one possible implementation of the first aspect, based on at least two factors and a literature database, determining literature related to at least two factors includes: searching the literature database for at least two factors to determine related factors corresponding to the at least two factors; and searching the literature database for at least two factors and related factors to determine literature related to the at least two factors and related factors.

[0007] In conjunction with the first aspect, in another possible implementation of the first aspect, similarity calculation is performed based on at least two factors and documents, and the weight value corresponding to each document is determined based on the correspondence between the similarity calculation results and the preset weight values, including: determining the weight value of each document by means of consistency judgment based on at least two factors, related factors and documents.

[0008] In conjunction with the first aspect, in another possible implementation of the first aspect, the weight value of each document is determined by consistency judgment based on at least two factors, relevant factors, and literature. This includes: determining the type of influence relationship between at least two factors based on at least two factors and relevant factors; and determining the weight value of each document based on the correspondence between the type of influence relationship, at least two factors, relevant factors, literature, and preset consistency weights.

[0009] In conjunction with the first aspect, in another possible implementation of the first aspect, similarity calculation is performed based on at least two factors and documents, and the weight value corresponding to each document is determined based on the correspondence between the similarity calculation results and the preset weight values, including: determining the weight value corresponding to each document by calculating similarity based on at least two factors, related factors and documents.

[0010] In conjunction with the first aspect, in another possible implementation of the first aspect, based on at least two factors, relevant factors, and literature, the weight value corresponding to each document is determined by calculating similarity, including: constructing a document feature vector for each document based on the document; constructing a retrieval feature vector based on at least two factors and relevant factors; calculating the weights of the document feature vector and the retrieval feature vector respectively, wherein the weight of the retrieval feature vector represents the weight of at least two factors and relevant factors in the document; determining the similarity of each document based on the weight of the document feature vector and the weight of the retrieval feature vector; and determining the weight value of each document based on the correspondence between the similarity and the preset similarity weight.

[0011] In conjunction with the first aspect, in another possible implementation of the first aspect, the weights of the document feature vector and the retrieval feature vector are calculated separately, including: calculating the term frequencies of the document feature vector and the retrieval feature vector respectively; calculating the inverse document frequencies of the document feature vector and the retrieval feature vector respectively; and determining the weights of the document feature vector and the retrieval feature vector based on the corresponding term frequencies and inverse document frequencies respectively.

[0012] Secondly, embodiments of the present invention provide an apparatus for determining the relationship between environmental impact factors of a reservoir dam project, comprising: a relationship hypothesis acquisition unit, used to acquire relationship hypotheses of at least two factors affecting the environmental assessment of the reservoir dam, wherein the at least two factors included in the relationship hypothesis have a mutual influence relationship; a literature database acquisition unit, used to acquire a literature database of the reservoir dam project, wherein the literature database includes at least one document related to the environmental assessment of the reservoir dam; a literature determination unit, used to determine documents related to the at least two factors based on the at least two factors and the literature database; a weight value determination unit, used to perform similarity calculation based on the at least two factors and the documents, and determine the weight value corresponding to each document based on the correspondence between the similarity calculation result and the preset weight value; and a relationship hypothesis verification unit, used to calculate the total weight value score according to the weight value corresponding to each document, and determine whether the relationship hypothesis is valid based on the comparison result between the total weight value score and the preset weight value.

[0013] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement a method for determining the relationship of environmental impact factors of a reservoir dam project as described in any embodiment of the first aspect.

[0014] Fourthly, embodiments of the present invention provide a computer device, including at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer program instructions, which, when executed by the at least one processor, implement the method for determining the relationship of environmental impact factors of a reservoir dam project as described in any embodiment of the first aspect.

[0015] The technical solutions provided by the embodiments of the present invention have the following beneficial effects:

[0016] This invention provides a method and apparatus for determining the relationships between environmental impact factors of reservoir dam projects. The method proposes relationship hypotheses among factors influencing the environmental impact assessment of reservoir dams, identifies relevant literature corresponding to these factors, and calculates the weight value for each document by performing similarity calculations on the relevant factors and literature. This verifies the validity of the proposed relationship hypotheses. This process verifies and clarifies the influence relationships among environmental impact factors of reservoir dam projects, providing support for subsequent accurate environmental impact assessments of reservoir dam projects and improving the objectivity of the assessment results. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram illustrating an application scenario of a method for determining the relationship between environmental impact factors in a reservoir dam project, as provided in an embodiment of the present invention.

[0019] Figure 2 A flowchart illustrating a specific example of a method for determining the relationship between environmental impact factors of a reservoir dam project, provided by an embodiment of the present invention;

[0020] Figure 3 An example diagram illustrating the influence relationships of a method for determining the relationship between environmental impact factors in a reservoir dam project, provided by an embodiment of the present invention;

[0021] Figure 4 A structural example diagram of a device for determining the relationship of environmental impact factors in a reservoir dam project, provided in an embodiment of the present invention;

[0022] Figure 5 This is a structural example diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0023] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0025] This embodiment provides an application scenario for a method to determine the relationship between environmental impact factors of a reservoir dam project, such as... Figure 1 The aforementioned includes: electronic device 11 and document database 12.

[0026] Electronic device 11 is configured to retrieve data from literature database 12 based on a proposed relationship hypothesis. Literature database 12 is configured to provide electronic device 11 with relevant literature based on at least two factors related to the environmental impact assessment of the reservoir dam. Electronic device 11 is configured to perform similarity calculations on the literature provided by literature database 12, determine the weight value for each document, and thus determine whether the relationship hypothesis is valid.

[0027] This embodiment provides a method for determining the relationship between environmental impact factors of reservoir dam projects, such as... Figure 2 As shown, it includes:

[0028] S101. Obtain relationship hypotheses for at least two factors that affect the environmental assessment of the reservoir dam, wherein at least two factors included in the relationship hypotheses have a mutual influence relationship.

[0029] Specifically, at least two factors influencing the environmental assessment of a reservoir dam can be either elements or indicators. Elements include one or more of the following: reservoir dam engineering, hydrology, sediment, local climate, water environment, environmental geology, soil environment, terrestrial organisms, aquatic organisms, ecological integrity and sensitive ecological environment issues, atmospheric environment, acoustic environment, solid waste, human health, landscape and cultural relics, resettlement, and socio-economic factors. Indicators refer to specific indicators describing various element categories. For example, indicators describing reservoir dam engineering elements include dam height, reservoir capacity, and reservoir capacity coefficient; indicators describing hydrological elements include multi-year average flow, monthly average flow, and daily average flow.

[0030] In practical applications, based on the environmental impact prediction and evaluation elements and indicators specified in the technical guidelines for environmental impact assessment of water conservancy and hydropower projects, at least two factors are used as the basis for proposing relationship hypotheses for at least two factors influencing the environmental assessment of reservoirs and dams.

[0031] Specifically, the relationship hypothesis that at least two factors influence each other means that a change in the first factor leads to a change in the second factor, or vice versa. In other words, a relationship of mutual influence between at least two factors constitutes a causal relationship. When there are multiple factors, a change in one or more first factors leads to a change in one or more second factors, or vice versa. The first and second factors are elements or indicators; it should be understood that "first" and "second" merely distinguish between two types of factors.

[0032] In practical applications, when a change in the first factor leads to a change in the second factor, the first factor is considered a stress factor and the second factor is considered a response factor; when a change in the second factor leads to a change in the first factor, the second factor is considered a stress factor and the first factor is considered a response factor.

[0033] S102. Obtain a literature database for reservoir dam projects, which includes at least one document related to the environmental assessment of reservoir dams.

[0034] Specifically, the literature database is a pre-designed literature database for reservoir dam projects. The literature database contains literature related to the environmental assessment of reservoir dams, thus providing a data foundation and relevant evidence to determine the relationship between environmental impact factors of reservoir dam projects, thereby making the judgment on whether the relationship hypothesis is valid objective.

[0035] S103. Based on at least two factors and a literature database, identify literature that is relevant to at least two factors.

[0036] Specifically, "based on at least two factors and a literature database" means identifying relevant factors corresponding to at least two factors by searching a literature database for at least two factors.

[0037] Specifically, identifying literature related to at least two factors means identifying literature related to at least two factors and related factors.

[0038] S104. Based on at least two factors and documents, perform similarity calculation, and determine the weight value corresponding to each document based on the correspondence between the similarity calculation results and the preset weight values.

[0039] Specifically, based on the correspondence between similarity calculation results and preset weight values, the weight value corresponding to each document is determined by means of consistency judgment, and by means of similarity calculation.

[0040] S105. Calculate the total weight score based on the weight value corresponding to each document, and determine whether the relationship hypothesis is valid based on the comparison result between the total weight score and the preset weight value.

[0041] Specifically, calculating the total weight score based on the weight value corresponding to each document means summing up the weight values ​​corresponding to each document to obtain the total weight score.

[0042] Specifically, determining whether the relationship hypothesis is valid based on the comparison between the total weighted score and the preset weighted score means that the relationship hypothesis is considered valid when the total weighted score reaches the preset weighted score, and the relationship hypothesis is considered invalid when the total weighted score is less than the preset weighted score.

[0043] In practical applications, the preset weight value can be 15, 20, 30 or other values, which can be set according to the actual working conditions, as long as it can be used to reflect whether the relationship hypothesis is valid based on the weight value in the literature.

[0044] By implementing this embodiment, relationship hypotheses are proposed regarding factors influencing the environmental impact assessment of reservoir dams. Corresponding literature is identified, and similarity calculations are performed on the relevant factors and literature to determine the weight value for each document, thereby verifying the validity of the proposed relationship hypotheses. This process verifies and clarifies the influence relationships among environmental impact factors of reservoir dam projects, providing support for subsequent accurate environmental impact assessments of reservoir dam projects and improving the objectivity of the assessment results.

[0045] In an optional implementation, step S103 above, which involves determining the specific process of identifying literature related to at least two factors based on at least two factors and a literature database, includes:

[0046] (1) Search for at least two factors in the literature database and identify the relevant factors corresponding to at least two factors.

[0047] Specifically, identifying the relevant factors corresponding to at least two factors means performing word frequency analysis on the retrieved documents and, based on the consistency between the word frequency analysis results and at least two factors, identifying the relevant factors corresponding to at least two factors.

[0048] Specifically, based on the consistency between the word frequency analysis results and at least two factors, the relevant factors corresponding to at least two factors are defined as those whose character count and text are completely consistent with at least two factors.

[0049] Specifically, word frequency analysis of documents refers to determining the probability of association between Chinese characters. Characters with high probabilities are grouped into word phrases, forming word segmentation results. In practical applications, the top 100, top 200, or other numerical values ​​of word phrases in the segmentation results are selected as word frequency analysis results. The selection of ranking values ​​can be set according to the actual working conditions.

[0050] In practical applications, word frequency analysis of literature databases can be implemented using the jieba library in Python. Word frequency analysis using the jieba library is a relatively mature technology, and will not be elaborated on here.

[0051] (2) Search the literature database for at least two factors and related factors to identify literature related to at least two factors and related factors.

[0052] By implementing this embodiment, the process of identifying relevant factors corresponding to at least two factors and identifying literature related to at least two factors and relevant factors, since there are literature materials related to the environmental assessment of reservoir dams in the literature database, the process of identifying relevant literature provides a data basis and relevant evidence to determine the relationship between environmental impact factors of reservoir dam projects, thereby making the judgment result on whether the relationship hypothesis is valid objective.

[0053] In an optional embodiment, step S104 above, which involves performing similarity calculations based on at least two factors and documents, and determining the weight value corresponding to each document based on the correspondence between the similarity calculation results and preset weight values, includes the following specific process:

[0054] The weight value of each document is determined by consistency judgment based on at least two factors, relevant factors, and literature.

[0055] Specifically, determining the weight value of each document through consistency judgment means determining the weight value of each document based on the correspondence between the judgment results of the influence relationship type and at least two factors and the preset consistency weight.

[0056] In an optional embodiment, the specific process of determining the weight value of each document based on at least two factors, relevant factors, and literature through a consistency judgment in the above steps includes:

[0057] (1) Based on at least two factors and related factors, determine the type of influence relationship between at least two factors.

[0058] Specifically, the types of influence relationships between at least two factors include direct influence and indirect influence.

[0059] Specifically, determining the type of influence relationship between at least two factors and related factors means mapping the type of influence relationship between two factors using a model.

[0060] In practical applications, models are used to depict the types of influence relationships between two factors, such as... Figure 3 As shown, stress factor 21 is connected to response factor 22, indicating that the influence relationship between stress factor 21 and response factor 22 is a direct influence, meaning that a change in stress factor 21 will directly lead to a change in response factor 22. Stress factor 21 is also connected to response factor 22 through related factor 23, indicating that the influence relationship between stress factor 21 and response factor 22 is an indirect influence, meaning that a change in stress factor 21 will lead to a change in related factor 23, which in turn will lead to a change in response factor 22.

[0061] (2) Determine the weight value of each document based on the relationship type, at least two factors, related factors, correspondence between the document and the preset consistency weight.

[0062] Specifically, Table 1 below exemplifies the correspondence between the type of influence relationship, at least two factors, related factors, literature, and preset consistency weights.

[0063] Table 1

[0064]

[0065] In practical applications, the fifth weight corresponds to the largest weight value, and the first weight corresponds to the smallest weight value. The weight values ​​corresponding to the first to fifth weights increase sequentially. It should be understood that the weight values ​​corresponding to the first to fifth weights can be 1, 2, 3, 4, 5, or other numbers, and the corresponding weight values ​​can be set according to the actual working conditions. This application does not impose specific limitations on this.

[0066] By implementing this embodiment, the weight value of each document corresponding to the proposed relationship hypothesis is determined through a consistency judgment method. This provides a data basis for subsequent determination of whether the eliminated relationship hypothesis is valid by calculating the total weight value. This verifies and clarifies the influence relationship between environmental impact factors of reservoir dam projects, supports the subsequent accurate environmental impact assessment of reservoir dam projects, and improves the objectivity of the environmental impact assessment results of reservoir dam projects.

[0067] In an optional embodiment, step S104 above, which involves performing similarity calculations based on at least two factors and documents, and determining the weight value corresponding to each document based on the correspondence between the similarity calculation results and preset weight values, includes the following specific process:

[0068] Based on at least two factors, relevant factors, and literature, the weight value corresponding to each document is determined by calculating similarity.

[0069] Specifically, determining the weight value for each document by calculating similarity means calculating the similarity between the document and at least two factors, related factors, and the document, and determining the weight value for each document by the correspondence between the similarity and the preset similarity weight.

[0070] In an optional embodiment, the specific process of determining the weight value corresponding to each document by calculating similarity based on at least two factors, relevant factors, and documents includes:

[0071] (1) Based on the literature, construct the document feature vector for each literature.

[0072] Specifically, a document feature vector refers to the keywords in each document. Constructing a document feature vector for each document means extracting the keywords from each document. In practical applications, the number of extracted keywords is the same as the number of at least two factors and related factors. Keywords are nouns and can be descriptive indicators or elements of the environmental impact of reservoir dam projects, descriptive indicators or elements affected by the environmental impact of reservoir dam projects, environmentally related indicators or elements, regions affected by the environmental impact of reservoir dam projects, or other phrases.

[0073] Specifically, based on the literature, the document feature vector of each literature can be represented by the following formula (1):

[0074] d j =(w 1j ,w 2j ,…,w tj (1)

[0075] Where, d j Let w represent the document feature vector of the j-th document, where t is the number of keywords, and w is the number of keywords. tj This represents the weight of the t-th keyword in the j-th document.

[0076] (2) Construct a retrieval feature vector based on at least two factors and related factors.

[0077] Specifically, the retrieval feature vector refers to the phrase corresponding to at least two factors or related factors.

[0078] Specifically, based on at least two factors and related factors, the retrieval feature vector can be constructed as follows (2):

[0079] q j =(w 1q ,w 2q ,…,w tj(2)

[0080] Where, q j Let w represent the retrieval feature vector of the j-th document, t be the number of at least stress factors, response factors, or related factors, and w be the number of related factors. tj This represents the weight of one of the t-th stress factor, response factor, or related factor in the j-th document.

[0081] (3) Calculate the weights of the document feature vector and the retrieval feature vector respectively. The weight of the retrieval feature vector represents the weight of at least two factors and related factors in the document.

[0082] Specifically, calculating the weights of the document feature vector and the retrieval feature vector separately includes: calculating the term frequencies of the document feature vector and the retrieval feature vector separately; calculating the inverse document frequencies of the document feature vector and the retrieval feature vector separately; and determining the weights of the document feature vector and the retrieval feature vector based on the corresponding term frequencies and inverse document frequencies respectively.

[0083] (4) Determine the similarity of each document based on the weights of the document feature vectors and the weights of the retrieval feature vectors.

[0084] Specifically, the similarity of each document, based on the weights of the document feature vectors and the weights of the retrieval feature vectors, can be expressed by the following formula (3):

[0085]

[0086] Where, sim(d) j ,q j ) refers to the similarity of the j-th document, d ij It refers to the i-th weight in the document feature vector of the j-th document, q ij It refers to the i-th weight in the retrieval feature vector of the j-th document.

[0087] In practical applications, assume d j =(30,20,20,10,0), q j =(40,0,30,20,10), then

[0088] In practical applications, the weights of document feature vectors and retrieval feature vectors can also be determined using the inner product method, the Dice method (Dice Coefficient), or the Jaccard method (Jaccard Coefficient).

[0089] (5) Based on the correspondence between similarity and preset similarity weight, determine the weight value of each document.

[0090] Specifically, Table 2 below illustrates the correspondence between similarity and preset similarity weights.

[0091] Table 2

[0092]

[0093]

[0094] In practical applications, the fifth weight corresponds to the largest weight value, and the first weight corresponds to the smallest weight value. The weight values ​​corresponding to the first to fifth weights increase sequentially. It should be understood that the weight values ​​corresponding to the first to fifth weights can be 1, 2, 3, 4, 5, or other numbers, and the corresponding weight values ​​can be set according to the actual working conditions. This application does not impose specific limitations on this.

[0095] In practical applications, the value range of the first to fifth intervals is greater than or equal to 0 and less than or equal to 1. The first interval can be 0 ≤ Sim < 0.2, the second interval can be 0.2 ≤ Sim < 0.4, the third interval can be 0.4 ≤ Sim < 0.6, the fourth interval can be 0.8 ≤ Sim < 0.8, and the fifth interval can be 0.8 ≤ Sim ≤ 1. The interval divisions within the first to fifth intervals can be set according to actual working conditions, and this application does not impose specific limitations on them.

[0096] In an optional embodiment, the specific process of calculating the weights of the document feature vector and the retrieval feature vector in the above steps includes:

[0097] (1) Calculate the word frequencies of the document feature vector and the retrieval feature vector respectively.

[0098] As an optional implementation, the word frequency of the document feature vector and the retrieval feature vector is calculated by dividing the number of times the phrase appears in the corresponding document by the total number of words in the corresponding document.

[0099] As an optional implementation, the term frequency of the document feature vector and the retrieval feature vector is calculated by dividing the number of times the phrase appears in the corresponding document by the number of times the most frequent word appears in the corresponding document.

[0100] In practical applications, when calculating the word frequency of a document feature vector, the number of times a phrase appears in the corresponding document divided by the total number of words in the corresponding document indicates the number of times the keyword appears in the corresponding document.

[0101] In practical applications, when calculating the word frequency of the retrieval feature vector, the number of times a phrase appears in the corresponding document divided by the total number of words in the corresponding document refers to the number of times it appears in the corresponding document based on stress factors, response factors, or related factors.

[0102] (2) Calculate the inverse document frequency of the document feature vector and the retrieval feature vector respectively.

[0103] Specifically, the inverse document frequencies of the document feature vector and the retrieval feature vector can be calculated using the following formula (4):

[0104]

[0105] Wherein, IDF represents the inverse document frequency of the document feature vector or the inverse document frequency of the retrieval feature vector.

[0106] In practical applications, when calculating the inverse document frequency of a document's feature vector, the number of documents containing the phrase refers to the number of documents containing the keyword.

[0107] In practical applications, when calculating the inverse document frequency of the retrieval feature vector, the number of documents containing the phrase refers to the number of documents containing stress factors, response factors, or related factors.

[0108] (3) Determine the weights of the document feature vector and the retrieval feature vector based on the corresponding term frequency and inverse document frequency, respectively.

[0109] Specifically, the weights, based on the corresponding term frequencies and inverse document frequencies, can be determined using the following formula (5):

[0110] w tj =wF×IDF (5)

[0111] Among them, w tj The weights represent the document feature vector or the retrieval feature vector, and TF represents the term frequency of the document feature vector or the retrieval feature vector.

[0112] In practical applications, during the process of determining the weights of document feature vectors and retrieval feature vectors based on their respective term frequencies and inverse document frequencies, the weights determined by the term frequencies and inverse document frequencies of the document feature vectors are the weights of the document feature vectors. Similarly, the weights determined by the term frequencies and inverse document frequencies of the retrieval feature vectors are the weights of the retrieval feature vectors.

[0113] By implementing this embodiment, the weight value of each document corresponding to the proposed relationship hypothesis is determined by calculating the similarity. This provides a data basis for determining whether the eliminated relationship hypothesis is valid by calculating the total weight value. This verifies and clarifies the influence relationship between environmental impact factors of reservoir dam projects, supports the subsequent accurate environmental impact assessment of reservoir dam projects, and improves the objectivity of the environmental impact assessment results of reservoir dam projects.

[0114] This embodiment provides a device for determining the relationship between environmental impact factors of a reservoir dam project, such as... Figure 4The system includes: a relationship hypothesis acquisition unit 31, a literature database acquisition unit 32, a literature determination unit 33, a weight value determination unit 34, and a relationship hypothesis verification unit 35.

[0115] The relationship hypothesis acquisition unit 31 is used to acquire relationship hypotheses of at least two factors affecting the environmental assessment of the reservoir dam, wherein the at least two factors included in the relationship hypothesis have a mutual influence relationship. For details, please refer to the relevant description of step S101 in the above embodiments, which will not be repeated here.

[0116] The literature database acquisition unit 32 is used to acquire a literature database for the reservoir dam project. The literature database includes at least one document related to the environmental assessment of the reservoir dam. For details, please refer to the description of step S102 in the above embodiments, which will not be repeated here.

[0117] The literature determination unit 33 is used to determine literature related to at least two factors based on at least two factors and a literature database. For details, please refer to the description of step S103 in the above embodiments, which will not be repeated here.

[0118] The weight value determination unit 34 is used to perform similarity calculation based on at least two factors and documents, and to determine the weight value corresponding to each document based on the correspondence between the similarity calculation results and preset weight values. For details, please refer to the relevant description of step S104 in the above embodiments, which will not be repeated here.

[0119] The relationship hypothesis verification unit 35 is used to calculate the total weight score based on the weight value corresponding to each document, and to determine whether the relationship hypothesis is valid based on the comparison result between the total weight score and the preset weight value. For the specific process, please refer to the relevant description of step S105 in the above embodiment, which will not be repeated here.

[0120] By implementing this embodiment, a relationship hypothesis acquisition unit proposes relationship hypotheses among factors influencing the environmental impact assessment of reservoir dams. Based on a literature database acquisition unit and a literature determination unit, corresponding literature is identified. Then, a weight value determination unit and a relationship hypothesis verification unit perform similarity calculations based on the relevant factors and literature to determine the weight value for each literature, thereby verifying the validity of the proposed relationship hypotheses. This process verifies and clarifies the influence relationships among environmental impact factors of reservoir dam projects, providing support for subsequent accurate environmental impact assessments of reservoir dam projects and improving the objectivity of the assessment results.

[0121] One embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions that can execute the method for determining the relationship of environmental impact factors of a reservoir dam project in any of the above method embodiments. The storage medium may be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0122] One embodiment of the present invention also provides a computer device, such as... Figure 5 As shown, Figure 5 This is a schematic diagram of a computer device according to an optional embodiment of the present invention. The computer device may include at least one processor 41, at least one communication interface 42, at least one communication bus 43, and at least one memory 44. The communication interface 42 may include a display screen and a keyboard; optionally, the communication interface 42 may also include a standard wired interface or a wireless interface. The memory 44 may be high-speed RAM (Random Access Memory) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 44 may also be at least one storage device located remotely from the aforementioned processor 41. The processor 41 may be combined with... Figure 4 The described apparatus has an application program stored in memory 44, and the processor 41 calls the program code stored in memory 44 to perform the steps of the method for determining the relationship of environmental impact factors of a reservoir dam project as described in any of the above method embodiments.

[0123] The communication bus 43 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The communication bus 43 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0124] The memory 44 may include volatile memory, such as random-access memory (RAM); the memory may also include non-volatile memory, such as flash memory, hard disk drive (HDD) or solid-state drive (SSD); the memory 44 may also include a combination of the above types of memory.

[0125] The processor 41 can be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and an NP.

[0126] The processor 41 may further include a hardware chip. This hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0127] Optionally, the memory 44 is also used to store program instructions. The processor 41 can call the program instructions to implement the method for determining the relationship of environmental impact factors of a reservoir dam project as described in any embodiment of the present invention.

[0128] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for determining the relationship between environmental impact factors of a reservoir dam project, characterized in that, The method includes: Obtain relationship hypotheses for at least two factors that influence the environmental assessment of a reservoir dam, wherein the at least two factors included in the relationship hypotheses have a mutual influence relationship; Obtain a literature database for the reservoir dam project, wherein the literature database includes at least one document related to the environmental assessment of the reservoir dam; The at least two factors are searched in the literature database to determine the relevant factors corresponding to the at least two factors; the at least two factors and the relevant factors are searched in the literature database to determine the literature related to the at least two factors and the relevant factors. Based on the at least two factors, the relevant factors, and the documents, the weight value of each document is determined by calculating similarity or consistency. Calculate the total weight score based on the weight value corresponding to each document, and determine whether the relationship hypothesis is valid based on the comparison result between the total weight score and the preset weight value.

2. The method according to claim 1, characterized in that, Based on the aforementioned at least two factors, the relevant factors, and the literature, a weight value for each document is determined through a consistency assessment, including: Based on the at least two factors and the related factors, determine the type of influence relationship between the at least two factors; Based on the influence relationship type, the at least two factors, the relevant factors, and the correspondence between the document and the preset consistency weight, the weight value of each document is determined.

3. The method according to claim 1, characterized in that, Based on the at least two factors, the relevant factors, and the documents, a weight value corresponding to each document is determined by calculating similarity, including: Based on the aforementioned documents, construct a document feature vector for each document; Based on the at least two factors and the related factors, a retrieval feature vector is constructed; The weights of the document feature vector and the retrieval feature vector are calculated respectively, wherein the weight of the retrieval feature vector represents the weight of the at least two factors and the relevant factors in the document; The similarity of each document is determined based on the weights of the document feature vectors and the weights of the retrieval feature vectors. Based on the correspondence between the similarity and the preset similarity weight, the weight value of each document is determined.

4. The method according to claim 3, characterized in that, The step of calculating the weights of the document feature vector and the retrieval feature vector respectively includes: Calculate the word frequencies of the document feature vector and the retrieval feature vector respectively; Calculate the inverse document frequencies of the document feature vector and the retrieval feature vector, respectively; The weights of the document feature vector and the retrieval feature vector are determined based on the corresponding term frequency and inverse document frequency, respectively.

5. A device for determining the relationship between environmental impact factors of a reservoir dam project, characterized in that, include: The relationship hypothesis acquisition unit is used to acquire relationship hypotheses of at least two factors affecting the environmental assessment of reservoir dams, wherein the at least two factors included in the relationship hypothesis have a mutual influence relationship. The literature database acquisition unit is used to acquire the literature database of the reservoir dam project, wherein the literature database includes at least one document related to the environmental assessment of the reservoir dam. A document determination unit is used to search the document database for the at least two factors and determine the relevant factors corresponding to the at least two factors. The at least two factors and the related factors are searched in the literature database to identify literature related to the at least two factors and the related factors; The weight value determination unit is used to determine the weight value of each document based on the at least two factors, the relevant factors, and the document by calculating similarity or consistency judgment. The relationship hypothesis verification unit is used to calculate the total weight score based on the weight value corresponding to each document, and to determine whether the relationship hypothesis is valid based on the comparison result between the total weight score and the preset weight value.

6. A computer-readable storage medium, characterized in that, The medium stores computer instructions. When the computer instructions are executed by the processor, they implement the method for determining the relationship between environmental impact factors of a reservoir dam project as described in any one of claims 1 to 4.

7. A computer device, characterized in that, include: At least one processor; and a memory connected to the at least one processor; The memory stores computer program instructions, which, when executed by the at least one processor, implement the method for determining the relationship of environmental impact factors of a reservoir dam project as described in any one of claims 1 to 4.

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