Water conservancy project control method and system based on water system connectivity

Abstract

The present invention discloses a water conservancy project control method and system based on water system connectivity conditions, which relates to the technical field of water conservancy projects. The method includes: establishing a river and lake monitoring traceability tree, monitoring pressure impacts and obtaining real-time data streams. Inputting data into the multi-channel of river and lake health assessment, generating a health assessment vector, and calculating the standard state deviation to form a health deviation vector. Formulate water conservancy project control decisions based on the deviation vector, and construct a river and lake recovery decision space. Optimize the decision space in combination with the recovery optimization factor to generate the first strategy for river and lake recovery. Conduct water system connectivity assessment, construct connectivity conditions, and optimize the recovery strategy based on the connectivity conditions to form a final river and lake recovery plan. Thus, an effective river and lake recovery decision is achieved by comprehensively considering the water system connectivity and the feedback process of water ecological restoration, and the technical effect of significantly improving the ecological restoration effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy projects, and in particular to a water conservancy project control method and system based on water system connectivity conditions. Background Art

[0002] With the development of society, water conservancy projects play a vital role in ensuring water security and promoting economic and social development. Traditional water conservancy project control methods primarily focus on the allocation and utilization of water resources to meet the needs of human production and life. While these methods have improved water resource utilization efficiency to a certain extent, they have certain limitations in addressing the degradation of river and lake ecosystems. In recent years, the protection of river and lake ecosystems has gradually gained attention, and some new control methods have begun to focus on the ecological health of rivers and lakes. However, most of these methods focus on single water quality monitoring or simple ecological restoration, lacking a comprehensive consideration of the overall connectivity and ecosystem complexity of rivers and lakes.

[0003] The existing water conservancy project control methods have the following shortcomings: First, the monitoring of river and lake ecosystems is not comprehensive and in-depth enough, and it is impossible to accurately identify the key indicators that cause the decline and degradation of river and lake ecological quality, making it difficult to construct an effective river and lake health and river and lake recovery characterization index; second, the interaction process between water system connectivity, water network project layout and water ecological restoration is not fully considered, resulting in the inability to achieve coordinated optimization among various factors in actual water conservancy project control; third, there is a lack of systematic solutions from multiple angles such as slowing down river and lake pollution, improving river and lake water quality, and improving ecological and hydrological connectivity, making it difficult to propose a river and lake recovery system under the support of water system connectivity projects. Summary of the Invention

[0004] The present invention provides a water conservancy project control method and system based on the condition of water system connectivity, so as to solve the technical problem in the existing technology that the ecological restoration effect is affected by the lack of comprehensive consideration of the water system connectivity, water network project layout and the mutual feedback process of water ecological restoration, and realize effective river and lake restoration decision-making by comprehensively considering the water system connectivity and the mutual feedback process of water ecological restoration, and significantly improve the technical effect of ecological restoration.

[0005] In a first aspect, the present invention provides a water conservancy project control method based on water system connectivity conditions, wherein the water conservancy project control method based on water system connectivity conditions includes:

[0006] Monitor and trace the pressure impacts on rivers and lakes, and establish a river and lake monitoring traceability tree.

[0007] The rivers and lakes are monitored in real time according to the river and lake monitoring source tree to obtain a river and lake monitoring data stream, and the river and lake monitoring data stream is input into a river and lake health assessment multi-channel to establish a river and lake health assessment vector.

[0008] The standard state deviation of the river and lake health assessment vector is calculated to determine the river and lake health deviation vector, and water conservancy project control decisions are made based on the river and lake health deviation vector to build the first space for river and lake recovery decision-making.

[0009] According to the river and lake recovery optimization factors, multi-level optimization is performed on the first space of river and lake recovery decision-making to obtain the first strategy for river and lake recovery.

[0010] Conduct a water system connectivity assessment on the rivers and lakes, establish water system connectivity conditions, and optimize the associated impacts of the first strategy for river and lake recovery based on the water system connectivity conditions to obtain a second strategy for river and lake recovery.

[0011] In one feasible implementation method, the pressure impact monitoring of rivers and lakes is traced back to the source, and a river and lake monitoring traceability tree is established, including:

[0012] Decouple and optimize the various stressors of the rivers and lakes to obtain a distribution of stressors. Conduct a stress impact assessment based on the distribution of stressors to obtain stressor impact assessment results. Sort and organize the distribution of stressors of the rivers and lakes based on the stressor impact assessment results to obtain a stressor sorting matrix. Match monitoring indicators based on the stressor sorting matrix to obtain monitoring indicator sets for each stressor. Perform a tree-like association between the stressor sorting matrix and the monitoring indicator sets for each stressor to obtain a river and lake monitoring source tree.

[0013] In a feasible implementation, decoupling and optimizing the various pressure sources of the rivers and lakes is performed to obtain the distribution of pressure sources of the rivers and lakes, including:

[0014] Evaluate the coupling degree of each pressure source pairwise to obtain multiple pressure source coupling coefficients. Determine whether the multiple pressure source coupling coefficients are greater than or equal to predetermined coupling coefficients to obtain multiple pressure source coupling determination results. Adaptively decouple the multiple pressure sources based on the multiple pressure source coupling determination results to obtain the river and lake pressure source distribution.

[0015] In a feasible implementation, the river and lake monitoring data stream is input into a river and lake health assessment multi-channel to establish a river and lake health assessment vector, including:

[0016] The multi-channel river and lake health assessment includes a comprehensive water quality assessment channel, a sediment pollution assessment channel, an ecological risk assessment channel, and a biodiversity assessment channel. The river and lake monitoring data stream is input into the comprehensive water quality assessment channel to obtain a comprehensive water quality index. The river and lake monitoring data stream is input into the sediment pollution assessment channel to obtain a sediment pollution index. The river and lake monitoring data stream is input into the ecological risk assessment channel to obtain an ecological risk index. The river and lake monitoring data stream is input into the biodiversity assessment channel to obtain a biodiversity assessment coefficient. The comprehensive water quality index, the sediment pollution index, the ecological risk index, and the biodiversity assessment coefficient are vectorized and sorted to generate the river and lake health assessment vector.

[0017] In a feasible implementation, the river and lake monitoring data stream is input into the comprehensive water quality assessment channel to obtain a comprehensive water quality index, including:

[0018] The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1. Water quality characteristics are identified based on the river and lake monitoring data stream to obtain river and lake water quality characteristic information. The river and lake water quality characteristic information is input into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients. A centralized value calculation is performed based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

[0019] In a feasible implementation, performing standard state deviation calculation on the river and lake health assessment vector to determine the river and lake health deviation vector includes:

[0020] A normal sample search for health assessment of the rivers and lakes is performed to obtain a normal sample set for health assessment of rivers and lakes. The normal sample set for health assessment of rivers and lakes includes a normal sample set for comprehensive water quality assessment, a normal sample set for sediment pollution assessment, a normal sample set for ecological risk assessment, and a normal sample set for biodiversity assessment. Central value calculation is performed based on the normal sample set for health assessment of rivers and lakes to obtain a multidimensional sample of standard state of rivers and lakes. Based on the multidimensional sample of standard state of rivers and lakes, a standard vector for health of rivers and lakes is constructed. Deviation calculation is performed on the health assessment vector of rivers and lakes based on the standard vector for health of rivers and lakes to generate the health deviation vector of rivers and lakes.

[0021] In a feasible implementation, a multi-level optimization is performed on the first space of river and lake recovery decision-making according to the river and lake recovery optimization factors to obtain the first strategy for river and lake recovery, including:

[0022] The river and lake recovery optimization factors include the degree of river and lake health improvement and the river and lake recovery efficiency. Expected settings are made based on the river and lake recovery optimization factors to determine the expected conditions for river and lake recovery. Weights are allocated based on the river and lake recovery optimization factors to build an analytical function for optimal river and lake recovery. Optimization analysis is performed on the first space of the river and lake recovery decision-making based on the expected conditions for river and lake recovery to obtain the second space of the river and lake recovery decision-making. Optimization is performed on the second space of the river and lake recovery decision-making based on the analytical function for optimal river and lake recovery to maximize the optimal river and lake recovery, and the first strategy for river and lake recovery is generated.

[0023] In a feasible implementation, the first river and lake recovery decision space is optimized and analyzed according to the desired conditions for river and lake recovery to obtain the second river and lake recovery decision space, including:

[0024] Extract a first decision for river and lake recovery based on the first space of river and lake recovery decisions. Perform a recovery prediction and evaluation on the river and lake based on the first decision for river and lake recovery to obtain a first recovery prediction and evaluation result. Determine whether the first recovery prediction and evaluation result meets the desired conditions for river and lake recovery. If the first recovery prediction and evaluation result meets the desired conditions for river and lake recovery, add the first decision for river and lake recovery to the second space of river and lake recovery decisions. If the first recovery prediction and evaluation result meets the desired conditions for river and lake recovery, eliminate the first decision for river and lake recovery.

[0025] In a feasible implementation, performing a recovery prediction evaluation on the river or lake according to the first river or lake recovery decision to obtain a first recovery prediction evaluation result includes:

[0026] Based on the first decision on river and lake recovery, a recovery prediction is performed on the river and lake to obtain first predicted river and lake status data and a first predicted river and lake recovery efficiency. The first predicted river and lake status data is input into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector. Based on the river and lake health assessment vector, a river and lake health improvement degree is evaluated for the first predicted river and lake health vector to obtain a first predicted river and lake health improvement degree. The first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation result.

[0027] In a second aspect, the present invention further provides a water conservancy project control system based on water system connectivity, wherein the water conservancy project control system based on water system connectivity includes:

[0028] The pressure impact monitoring and tracing module is used to monitor and trace the pressure impact of rivers and lakes and establish a river and lake monitoring tracing tree.

[0029] The river and lake health assessment vector establishment module is used to monitor the rivers and lakes in real time according to the river and lake monitoring traceability tree, obtain the river and lake monitoring data stream, and input the river and lake monitoring data stream into the river and lake health assessment multi-channel to establish the river and lake health assessment vector.

[0030] The decision space construction module is used to calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, and make water conservancy project control decisions based on the river and lake health deviation vector, thereby building the first space for river and lake recovery decisions.

[0031] The recovery strategy acquisition module is used to perform multi-level optimization on the first space of river and lake recovery decisions according to the river and lake recovery optimization factors to obtain the first strategy for river and lake recovery.

[0032] The recovery strategy optimization module is used to evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first river and lake recovery strategy based on the water system connectivity conditions to obtain the second river and lake recovery strategy.

[0033] The present invention discloses a water conservancy project control method and system based on the condition of water system connectivity, including: establishing a river and lake monitoring traceability tree, monitoring pressure impact and obtaining real-time data stream. Inputting data into the river and lake health assessment multi-channel, generating a health assessment vector, and calculating the standard state deviation to form a health deviation vector. Formulating water conservancy project control decisions based on the deviation vector, and constructing a river and lake recovery decision space. Optimizing the decision space in combination with the recovery optimization factor, and generating the first strategy for river and lake recovery. Carrying out water system connectivity assessment, constructing connectivity conditions, and optimizing the recovery strategy based on the connectivity conditions to form a final river and lake recovery plan. The water conservancy project control method and system based on water system connectivity disclosed in the present invention solves the technical problem of lack of comprehensive consideration of the water system connectivity, water network project layout and water ecological restoration feedback process, which affects the ecological restoration effect, and realizes effective river and lake recovery decision-making that comprehensively considers the water system connectivity and water ecological restoration feedback process, and significantly improves the technical effect of ecological restoration effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Schematic diagram of the flow of the water conservancy project control method based on the water system connectivity condition of the present invention;

[0035] Figure 2 It is a structural schematic diagram of the water conservancy project control system based on the water system connectivity condition of the present invention.

[0036] Explanation of the accompanying symbols: pressure impact monitoring and tracing module 11, river and lake health assessment vector establishment module 12, decision space construction module 13, recovery strategy acquisition module 14, recovery strategy optimization module 15. DETAILED DESCRIPTION

[0037] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention, rather than all, are shown in the drawings.

[0038] Example 1, as Figure 1 The flow chart of the water conservancy project control method based on the water system connectivity condition of the present invention is as follows:

[0039] S100: Monitor and trace the pressure impacts on rivers and lakes, and establish a river and lake monitoring traceability tree.

[0040] Specifically, stress impact monitoring and tracing refers to the process of identifying and monitoring various stressors that could negatively impact river and lake ecosystems, and tracing their origins and transmission pathways through scientific methods. Stressors include both natural factors (such as floods, droughts, and siltation) and human activities (such as industrial pollution, agricultural non-point source pollution, and urbanization). This monitoring and tracing helps us fully understand the types, intensity, and sources of stressors affecting rivers and lakes, providing accurate data support for subsequent ecological assessments and restoration efforts.

[0041] Specifically, the river and lake monitoring source tree is a tree-structured model used to systematically organize and display river and lake stressors and their impact relationships. For example, the river and lake monitoring source tree takes the river and lake ecosystem as the root node, stressors at all levels as branch nodes, and the specific influencing factors of the stressors as leaf nodes. Through the above tree structure, the hierarchical relationship and mutual influence between different stressors can be clearly seen, which helps to identify stressors that play a key role in the decline and degradation of river and lake ecological quality.

[0042] In some embodiments, pressure impact monitoring and source tracing are performed on rivers and lakes, and a source tracing tree for river and lake monitoring is established, including:

[0043] Decoupling and optimization are performed on the various stress sources of the rivers and lakes to obtain the distribution of river and lake stress sources; coercion impact evaluation is performed based on the distribution of river and lake stress sources to obtain stress source impact evaluation results; sorting and combing the distribution of river and lake stress sources based on the stress source impact evaluation results to obtain a stress source sorting matrix; monitoring indicator matching is performed based on the stress source sorting matrix to obtain a monitoring indicator set for each stress source; tree-like association is performed based on the stress source sorting matrix and the monitoring indicator set for each stress source to obtain the river and lake monitoring source tracing tree.

[0044] Specifically, stressor decoupling optimization refers to the decomposition and optimization of the various stressors faced by rivers and lakes (such as industrial pollution, agricultural non-point source pollution, urban expansion, etc.) to clarify the independent impact and interaction of each stressor, so as to more accurately determine the contribution of each stressor to the river and lake ecosystem. For example, through pairwise coupling evaluation to analyze the synergistic or antagonistic effects between different stressors, it provides a basis for subsequent precise monitoring and governance.

[0045] Specifically, stress impact assessment is the process of quantitatively evaluating the degree of stress on ecosystems under the distribution of stressors in rivers and lakes. By combining methods such as ecotoxicology and hydrological and water quality models, the specific impact of stressors on river and lake organisms and the physical and chemical properties of water bodies is determined, thereby providing a scientific basis for prioritizing stressors. For example, a stress impact assessment model (such as one based on statistical regression or machine learning) is established, comprehensively considering the intensity and duration of the stressor, as well as its impact on water quality, water quantity, and the ecological environment. The stressor impact assessment results are output as numerical values or levels to reflect the impact intensity of each stressor.

[0046] Specifically, the stressor ranking matrix is a matrix structure formed by ranking the various stressors facing rivers and lakes according to the severity of their impact on the ecosystem, based on the results of the stressor impact assessment. This matrix reflects the order of importance of each stressor within the river-lake system and provides guidance for the selection of subsequent monitoring indicators and resource allocation. For example, in a lake affected by multiple pollution sources, the ranking matrix identifies industrial pollution as the primary stressor, followed by agricultural non-point sources, thus prioritizing industrial pollution in monitoring and remediation efforts.

[0047] For example, a ranking algorithm (such as scoring-based ranking, TOPSIS method, etc.) is used to sort the stress sources from high to low according to the impact evaluation results to form a ranking matrix, in which each element in the matrix represents the impact level of a certain stress source in different regions or different time periods.

[0048] Furthermore, corresponding monitoring indicators are matched based on the stressor priorities determined in the stressor ranking matrix. This is because different stressors have different characteristics and impacts, necessitating the selection of targeted monitoring indicators to accurately reflect their impacts on river and lake ecosystems. For example, for industrial pollution sources, monitoring indicators such as chemical oxygen demand (COD), heavy metal content, and flow rate may be necessary; whereas for agricultural non-point source pollution, the focus is on monitoring the levels of nutrients such as nitrogen and phosphorus, pesticide residues, and suspended solids concentrations. Then, based on the stressor ranking matrix and the monitoring indicator sets for each stressor, the relationships between the stressors are linked in a tree-like structure to construct a river and lake monitoring source tree. In this structure, the river and lake ecosystem serves as the root node, stressors at all levels serve as branch nodes, and specific monitoring indicators serve as leaf nodes. Each node in the tree represents a stressor, and their relationships reflect the propagation path of the fault or pollution from the source to the entire river and lake system.

[0049] Through tree-like association, the hierarchical relationship and mutual connection between different stress sources and their monitoring indicators can be clearly displayed, which facilitates problem tracing and precise management in complex ecosystems.

[0050] In some implementations, decoupling and optimizing the various pressure sources of the rivers and lakes to obtain a distribution of pressure sources of the rivers and lakes includes:

[0051] Perform pairwise coupling evaluation on each of the pressure sources to obtain multiple pressure source coupling coefficients; determine whether the multiple pressure source coupling coefficients are greater than or equal to a predetermined coupling coefficient to obtain multiple pressure source coupling judgment results; and adaptively decouple each of the pressure sources based on the multiple pressure source coupling judgment results to obtain the river and lake pressure source distribution.

[0052] Specifically, the coupling between the various stressors facing rivers and lakes is assessed. A coupling model is then developed to quantify the strength of the interaction between the two stressors in their impact on river and lake ecosystems. For example, for industrial pollution and agricultural non-point source pollution, the stressor coupling coefficient is calculated by analyzing the overlap and synergy in terms of pollutant emission types, emission timing, and impact range. This stressor coupling coefficient is a quantitative measure of the strength of the interaction between the two stressors. Its value typically ranges from -1 to 1. A coefficient closer to 1 indicates a stronger interaction between the two stressors and a more pronounced synergistic effect in their impact on river and lake ecosystems. Conversely, a coefficient closer to 0 indicates a weaker interaction between the two stressors, which can be roughly considered to act independently on the river and lake ecosystems. A coefficient closer to -1 indicates a stronger interaction between the two stressors, but a more pronounced antagonistic effect in their impact on the river and lake ecosystems.

[0053] For example, similarity measurement methods (such as Pearson correlation coefficient, cosine similarity, mutual information, etc.) are used to calculate the coupling coefficient between each pair of pressure sources, reflecting the similarity and correlation between the two in terms of spatiotemporal distribution, intensity change or impact degree.

[0054] Specifically, when the coupling coefficient between two pressure sources is greater than or equal to a predetermined coefficient, the interaction between them is considered non-negligible. In this case, the two pressure sources are merged into a new, integrated pressure source for processing. When the coupling coefficient is less than the predetermined coefficient, the two pressure sources are treated as independent and subsequently analyzed and processed separately. This approach automatically adapts to the complex relationships between pressure sources based on actual conditions, improving the accuracy and efficiency of decoupling.

[0055] Through pairwise evaluation and threshold determination, these steps effectively decouple and categorize stressors, distinguishing their independent contributions and interdependencies within the river-lake system. Ultimately, they generate a distribution of stressors that accurately reflects the actual situation. This provides a scientific basis for subsequent stress impact tracing, environmental monitoring, and governance decisions.

[0056] S200: Perform real-time monitoring of the rivers and lakes according to the river and lake monitoring source tree to obtain a river and lake monitoring data stream, and input the river and lake monitoring data stream into a river and lake health assessment multi-channel to establish a river and lake health assessment vector.

[0057] Specifically, based on the river and lake monitoring traceability tree, a set of monitoring indicators that need to be monitored is defined, and a sensor network deployed at various monitoring nodes of rivers and lakes (such as water quality detectors, water level sensors, flow meters, etc.) is used to collect real-time water quality (water temperature, pH value, dissolved oxygen, turbidity, etc.), water level, flow and related environmental data (such as rainfall, temperature, etc.) of rivers and lakes. Among them, the monitoring data can form a continuous data stream through wireless transmission, Internet of Things platform or satellite remote sensing, reflecting the status and changing trends of river and lake ecosystems at different times, providing a basis for subsequent health assessments.

[0058] Specifically, the multi-channel River and Lake Health Assessment system comprehensively assesses the health of river and lake ecosystems. It comprises multiple assessment channels, each specifically evaluating different aspects of river and lake ecosystems. Monitoring data is processed and analyzed using a variety of models and methods, including the comprehensive water quality assessment channel, sediment pollution assessment channel, ecological risk assessment channel, and biodiversity assessment channel, thereby comprehensively reflecting the health of river and lake ecosystems. For example, the comprehensive water quality assessment channel uses water quality monitoring data to assess the degree of water pollution; the biodiversity assessment channel assesses the biodiversity of the ecosystem by analyzing community structure and species richness. The River and Lake Health Assessment Vector is a comprehensive representation of the individual assessment results from the multi-channel River and Lake Health Assessment system, which is formed by quantizing and organizing them. It integrates assessment indicators from different dimensions (such as the water quality index and biodiversity coefficient) into an ordered vector structure, with each element corresponding to a specific assessment indicator value.

[0059] For example, in a river affected by industrial pollution and agricultural non-point source pollution, according to the guidance of the source tree, water quality monitoring points are set up in the river sections downstream of the industrial sewage outlet and near the agricultural planting area to collect water quality data such as chemical oxygen demand, ammonia nitrogen, heavy metals, as well as information such as the pollutant content in the sediment and the type and number of aquatic organisms in real time to form a complete monitoring data stream. These monitoring data streams are then input into the multi-channel river and lake health assessment, and each channel processes and analyzes the data separately. The comprehensive water quality assessment channel uses water quality data to calculate the comprehensive water quality index, the sediment pollution assessment channel assesses the degree of sediment pollution, the ecological risk assessment channel analyzes potential ecological risks, and the biodiversity assessment channel counts biodiversity indicators.

[0060] The vector form not only facilitates data storage and transmission, but also enables quantitative comparison and comprehensive evaluation of the health status of river and lake ecosystems through mathematical operations and statistical analysis, providing a scientific basis for subsequent water conservancy project control decisions.

[0061] In some embodiments, the river and lake monitoring data stream is input into a river and lake health assessment multi-channel to establish a river and lake health assessment vector, including:

[0062] The multi-channel river and lake health assessment includes a comprehensive water quality assessment channel, a sediment pollution assessment channel, an ecological risk assessment channel and a biodiversity assessment channel; the river and lake monitoring data stream is input into the comprehensive water quality assessment channel to obtain a comprehensive water quality index; the river and lake monitoring data stream is input into the sediment pollution assessment channel to obtain a sediment pollution index; the river and lake monitoring data stream is input into the ecological risk assessment channel to obtain an ecological risk index; the river and lake monitoring data stream is input into the biodiversity assessment channel to obtain a biodiversity assessment coefficient; vectorization is performed based on the comprehensive water quality index, the sediment pollution index, the ecological risk index and the biodiversity assessment coefficient to generate the river and lake health assessment vector.

[0063] Specifically, the comprehensive water quality assessment channel focuses on the physical and chemical properties of river and lake waters. By collecting water quality monitoring data such as water temperature, pH, dissolved oxygen, chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen content, and heavy metal concentrations, and applying specific water quality assessment models and algorithms, a comprehensive quantitative assessment of the degree of water pollution and water quality is conducted. Ultimately, a comprehensive water quality index is derived, which quantitatively reflects the overall health of the water body and determines whether and to what extent river and lake ecosystems are polluted.

[0064] Specifically, the sediment pollution assessment channel focuses on the pollution of sediments at the bottom of rivers and lakes. As one of the final destinations of water pollutants, sediments can adsorb and enrich various pollutants, such as heavy metals and organic pollutants. By collecting and analyzing sediment samples, detecting the content and types of pollutants, and combining the physical and chemical properties of sediments (such as particle size, organic matter content, etc.), the potential pollution risk and ecotoxicity of sediments to river and lake ecosystems are evaluated, and a sediment pollution index is obtained. This sediment pollution index helps to understand the quality of the ecological environment at the bottom of rivers and lakes, and provides an important reference for the survival of benthic organisms and the ecological balance of the entire water body.

[0065] Specifically, the Ecological Risk Assessment Pathway aims to assess the degree of risk facing river and lake ecosystems. It comprehensively considers factors such as pollutant concentrations in water and sediments, biological toxicity data, the presence of protected species, and the importance of ecosystem services. By developing ecological risk assessment models, such as the Risk Quotient (RQ) and Toxicity Unit (TU) methods, the risk values of different pollutants to river and lake ecosystems are calculated, resulting in an Ecological Risk Index (ERI). This index provides a direct reflection of the degree of threat to river and lake ecosystems.

[0066] Specifically, the biodiversity assessment channel focuses on evaluating the species, abundance, and community structure of organisms in river and lake ecosystems. By collecting data on the species, abundance, and biomass of aquatic organisms (including plankton, benthic organisms, and fish), as well as indicators such as vegetation cover, species richness, and species evenness, and using biodiversity assessment models (such as the Shannon-Wiener Index and the Simpson Index), a biodiversity assessment coefficient is calculated. This coefficient reflects the biodiversity status of river and lake ecosystems and is an important indicator of ecosystem health and stability. Higher biodiversity indicates a more complete ecosystem structure and function, and greater resilience to disturbances.

[0067] Specifically, the four assessment results obtained above are vectorized, that is, they are converted into a unified vector form, and each element corresponds to the comprehensive water quality index, sediment pollution index, ecological risk index and biodiversity assessment coefficient, thereby generating a river and lake health assessment vector.

[0068] Through multi-channel assessment and quantified organization, river and lake health assessments can achieve a comprehensive, quantitative, and dynamic evaluation of the health of river and lake ecosystems, bringing multiple beneficial effects. On the one hand, this multi-dimensional assessment method overcomes the limitations of single-metric evaluation and comprehensively reflects the complex health status of river and lake ecosystems. On the other hand, quantified organization facilitates data storage, transmission, and comprehensive analysis, providing an intuitive and quantitative basis for subsequent water conservancy project control decisions.

[0069] In some implementations, inputting the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index includes:

[0070] The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1; water quality characteristics are identified based on the river and lake monitoring data stream to obtain river and lake water quality characteristic information; the river and lake water quality characteristic information is input into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients; and centralized value calculation is performed based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

[0071] Specifically, the comprehensive water quality assessment channel consists of K comprehensive water quality assessment models, where K is a positive integer greater than 1, and each model uses a different data processing algorithm or parameter setting to achieve independent assessment of water quality characteristic information, ensuring the robustness and accuracy of the assessment results.

[0072] Furthermore, through the real-time collection of river and lake monitoring data streams, data preprocessing and feature recognition technologies (such as signal filtering, feature extraction algorithms, machine learning classification, etc.) are used to extract water quality-related characteristic information, and obtain river and lake water quality characteristic information vectors as subsequent model inputs.

[0073] Specifically, the identified river and lake water quality characteristic information is input into K comprehensive water quality assessment models respectively. Each model outputs a comprehensive water quality assessment coefficient according to its own mapping relationship. The coefficient is the evaluation result of the current water quality. Preferably, its numerical range can be normalized to 0 to 1 or converted into a percentage. For example, model 1 outputs 0.85, model 2 outputs 0.80, ..., model K outputs 0.83.

[0074] Furthermore, the K comprehensive water quality assessment coefficients are centrally calculated, including taking the mean, median or weighted average method, and the comprehensive water quality index is output. This index can be used as a quantitative expression of the overall water quality status of rivers and lakes, and is used to determine whether the water quality meets environmental protection or management standards.

[0075] Furthermore, it should be understood that the aforementioned sediment pollution assessment channel, ecological risk assessment channel, and biodiversity assessment channel are constructed using the same method and principles as the aforementioned comprehensive water quality assessment channel and are implemented through the same steps. For the sake of brevity, they will not be further explained here.

[0076] S300: Calculate the standard deviation of the river and lake health assessment vector to determine the river and lake health deviation vector, make water conservancy project control decisions based on the river and lake health deviation vector, and build the first space for river and lake recovery decision-making.

[0077] Specifically, each evaluation indicator in the river and lake health assessment vector (such as the comprehensive water quality index, sediment pollution index, ecological risk index and biodiversity assessment coefficient) is compared with the ideal value under the standard state, and the deviation value of each indicator is calculated. The standard state refers to the ideal state of the river and lake ecosystem when it is healthy, unpolluted or disturbed; the river and lake health deviation vector is the vector obtained by calculating the standard state deviation, which reflects the difference level between the current river and lake ecosystem and the ideal health state. Each element in the vector corresponds to the deviation value of an evaluation indicator. These deviation values can be positive (indicating that the current state is better than the standard state) or negative (indicating that the current state is worse than the standard state).

[0078] Furthermore, based on the river and lake health deviation vectors, the deviation values are analyzed to determine the necessary hydraulic engineering measures to improve the health of river and lake ecosystems. Examples of these measures might include water purification, ecological restoration, and water level regulation. The first space for river and lake recovery decisions refers to a set of decision options initially determined based on the river and lake health deviation vectors during the hydraulic engineering control decision-making process. This set includes multiple possible combinations of hydraulic engineering measures, each designed to address existing issues in river and lake ecosystems, and serves as the basis for subsequent optimization and selection.

[0079] The purpose of this process is to quantitatively compare the current health of river and lake ecosystems with their ideal state, identifying existing problems and gaps, and thus providing a scientific basis for decision-making on water conservancy project management. This approach allows for more targeted measures to improve the health of river and lake ecosystems and promote their recovery.

[0080] In some embodiments, performing standard state deviation calculation on the river and lake health assessment vector to determine the river and lake health deviation vector includes:

[0081] A normal sample search for health assessment of the rivers and lakes is performed to obtain a normal sample set for health assessment of rivers and lakes, which includes a normal sample set for comprehensive water quality assessment, a normal sample set for sediment pollution assessment, a normal sample set for ecological risk assessment, and a normal sample set for biodiversity assessment; a central value calculation is performed based on the normal sample set for health assessment of rivers and lakes to obtain a multidimensional sample of standard state of rivers and lakes; a standard vector for health of rivers and lakes is constructed based on the multidimensional sample of standard state of rivers and lakes; a deviation calculation is performed on the health assessment vector of rivers and lakes based on the health standard vector of rivers and lakes to generate the health deviation vector of rivers and lakes.

[0082] Specifically, health assessments of rivers and lakes are conducted based on historical data, and sample data with various indicators within the normal range are retrieved and screened to form multiple normal sample sets, providing basic data for the subsequent construction of standard states, including: Normal sample set for comprehensive water quality assessment: composed of multiple historical normal comprehensive water quality indices, reflecting sample data with water quality indicators in an ideal state. Normal sample set for sediment pollution assessment: recording sample data with pollutant concentrations in sediments within safety standards. Normal sample set for ecological risk assessment: reflecting sample data with low ecosystem risks and a stable ecological environment. Normal sample set for biodiversity assessment: reflecting sample data with biodiversity indicators of rivers and lakes at an ideal level.

[0083] Specifically, for each normal sample set, representative values for each evaluation indicator are calculated using central tendency statistical methods (such as mean, median, or weighted mean) to form a set of standard multidimensional samples. These central tendency data are then combined in a predetermined order to form a standard vector for river and lake health, representing the levels of each indicator when the river or lake is in an ideal state of health. Different statistical methods can be used for different evaluation indicators, for example, using the mean for comprehensive water quality indicators, the median for sediment pollution indicators, and the weighted average for ecological risk and biodiversity indicators.

[0084] Furthermore, the current river and lake health assessment vector is compared with the river and lake health standard vector, and the deviation between the two is calculated to obtain the river and lake health deviation vector, which is used to determine whether the river and lake health status deviates from the standard range, providing a basis for subsequent quality attenuation prediction, trend analysis and ecological restoration decision-making.

[0085] S400: performing multi-level optimization on the first river and lake recovery decision space according to the river and lake recovery optimization factors to obtain a first river and lake recovery strategy.

[0086] In some embodiments, a multi-level optimization is performed on the first river and lake recovery decision space according to the river and lake recovery optimization factor to obtain a first river and lake recovery strategy, including:

[0087] The river and lake recovery optimization factors include the degree of river and lake health improvement and the river and lake recovery efficiency; expectations are set based on the river and lake recovery optimization factors to determine the expected conditions for river and lake recovery; weights are allocated based on the river and lake recovery optimization factors to build an analytical function for the optimality of river and lake recovery; the first space of the river and lake recovery decision is optimized and analyzed based on the expected conditions for river and lake recovery to obtain the second space of the river and lake recovery decision; the second space of the river and lake recovery decision is optimized to maximize the optimality of river and lake recovery based on the analytical function for the optimality of river and lake recovery to generate the first strategy for river and lake recovery.

[0088] Specifically, the optimization factor for river and lake recovery refers to the key indicator used to evaluate and select the optimal plan in the decision-making process of river and lake recovery. The optimization factors in this case include the improvement degree of river and lake health and the efficiency of river and lake recovery. Among them, the improvement degree of river and lake health measures the degree of improvement in the health status of rivers and lakes after taking a certain measure, usually expressed as the improvement degree of health indicators; the efficiency of river and lake recovery focuses on the timeliness of the implementation of measures, that is, the speed of improvement in the health status of rivers and lakes within a unit of time.

[0089] Specifically, the expected conditions for river and lake recovery are a series of expected conditions for achievement based on the river and lake health goals. These conditions reflect the decision makers' expected level of river and lake recovery effects, such as the specific values or degree of improvement of river and lake health indicators expected to be achieved within a certain period of time.

[0090] Specifically, the river and lake recovery merit analytical function is a mathematical model used to quantitatively evaluate the merits of different river and lake recovery measures. This function comprehensively considers optimization factors such as the degree of improvement in river and lake health and the efficiency of river and lake recovery, and calculates the merit value of each measure based on the set weight distribution, thereby providing a quantitative basis for decision-making.

[0091] For example, first, according to the optimization factors of river and lake recovery, the expectation setting is carried out to determine the expected conditions for river and lake recovery. For example, the decision maker expects to increase the comprehensive water quality index of rivers and lakes from 0.5 to 0.8 and the biodiversity assessment coefficient from 0.6 to 0.9 within five years. Then, according to the optimization factors of river and lake recovery, the weight is allocated and the optimal analytical function of river and lake recovery is constructed. Assuming that the decision maker believes that health improvement is more important and gives it a weight of 0.7, while the weight of recovery efficiency is 0.3, then the optimal analytical function of recovery is F Characterized by:

[0092] ;

[0093] Then, based on the desired conditions for river and lake recovery, the optimization analysis of the first space of river and lake recovery decisions is conducted to obtain the second space of river and lake recovery decisions. Specifically, combinations of measures that meet the desired conditions are screened from the first space to form the second space. For example, from multiple possible combinations of water purification and ecological restoration measures, only those that can achieve the desired values for river and lake health indicators within the expected timeframe are screened.

[0094] Finally, the optimality of river and lake recovery is maximized in the second space of river and lake recovery decision-making according to the optimality analytical function of river and lake recovery, and the first strategy for river and lake recovery is generated: by calculating the optimality value of each measure combination in the second space under the optimality analytical function of recovery, the measure combination with the highest optimality value is selected as the first strategy for river and lake recovery; for example, after calculation, it is found that a measure combination combining ecological wetland construction and regular dredging has the highest optimality value, then this combination is determined to be the first strategy for river and lake recovery.

[0095] The above process finally obtains the first strategy for river and lake recovery that maximizes the recovery optimality through expectation screening and multi-level optimization iteration of the initial decision space. This strategy not only meets the target requirements of power plants and environmental management for river and lake recovery, but also improves the recovery effect through data-driven and adaptive optimization, thereby providing a solid decision-making basis for subsequent resource scheduling and environmental governance.

[0096] In some implementations, performing an optimization analysis on the first river and lake recovery decision space according to the desired river and lake recovery conditions to obtain the second river and lake recovery decision space includes:

[0097] According to the first space of river and lake recovery decisions, the first decision on river and lake recovery is extracted; according to the first decision on river and lake recovery, recovery prediction and evaluation are performed on the rivers and lakes to obtain a first recovery prediction and evaluation result; it is judged whether the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery; if the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, the first decision on river and lake recovery is added to the second space of river and lake recovery decisions; if the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, the first decision on river and lake recovery is eliminated.

[0098] Specifically, during the river and lake recovery decision-making process, the first decision for river and lake recovery is extracted from the first space of river and lake recovery decisions. For example, a specific combination of measures is selected from multiple possible combinations, such as "constructing ecological wetlands, regular silt removal, and controlling industrial pollution emissions." Next, a recovery forecast and evaluation of rivers and lakes is conducted based on this first decision. This involves developing hydrological, ecological, water quality, or regression analysis models to simulate the health of rivers and lakes after the implementation of these measures, ultimately generating the first recovery forecast and evaluation results.

[0099] Specifically, if the first recovery prediction evaluation result meets the expected conditions for river and lake recovery, the first river and lake recovery decision is added to the second river and lake recovery decision space; if it does not meet the conditions, the decision is eliminated and no longer enters the subsequent optimization analysis.

[0100] In the entire plan, the role of this process is to screen out water conservancy engineering measures that can effectively improve the health of rivers and lakes and meet the expected conditions; through recovery prediction evaluation and condition judgment, it ensures that the measures entering the second space of river and lake recovery decision-making have high feasibility and effectiveness, providing high-quality candidate solutions for subsequent multi-level optimization.

[0101] In some implementations, performing a recovery prediction and evaluation on the river or lake based on the first river or lake recovery decision to obtain a first recovery prediction and evaluation result includes:

[0102] According to the first decision on river and lake recovery, the recovery of the rivers and lakes is predicted to obtain first predicted river and lake status data and first predicted river and lake recovery efficiency; the first predicted river and lake status data is input into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector; according to the river and lake health assessment vector, the first predicted river and lake health vector is evaluated for the river and lake health improvement degree to obtain a first predicted river and lake health improvement degree; the first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation result.

[0103] Specifically, during the recovery prediction and evaluation process for the first decision on river and lake recovery, a recovery prediction is first performed based on the first decision. For example, assuming the first decision is "constructing ecological wetlands, regular dredging, and controlling industrial pollution emissions," the state of the river and lake after these measures are implemented is simulated by establishing hydrological, ecological, and water quality models. This results in the first-stage predicted river and lake state data and the first-stage predicted river and lake recovery efficiency. For example, the prediction results show that the comprehensive water quality index will increase from 0.5 to 0.7, and the biodiversity assessment coefficient will increase from 0.6 to 0.8, with a recovery efficiency increase of 0.05 per year. Next, the first-stage predicted river and lake state data is input into the river and lake health assessment multi-channel system. The predicted comprehensive water quality index is calculated using the comprehensive water quality assessment channel, the predicted sediment pollution index is calculated using the sediment pollution assessment channel, the predicted ecological risk index is calculated using the ecological risk assessment channel, and the predicted biodiversity assessment coefficient is calculated using the biodiversity assessment channel. Ultimately, the first-stage predicted river and lake health vector is generated. For example, the first-stage predicted river and lake health vector is [0.7, 0.3, 0.2, 0.8]. Next, the first predicted river and lake health vector is evaluated for its health improvement based on the current river and lake health assessment vector. Assuming the current river and lake health assessment vector is [0.5, 0.4, 0.3, 0.6], the first predicted river and lake health improvement is calculated by calculating the degree of improvement for each assessment indicator. For example, the improvement in the comprehensive water quality index is 0.2, and the improvement in the biodiversity assessment coefficient is 0.2. Finally, the first predicted river and lake health improvement and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation results.

[0104] Through scientific prediction and evaluation, the above process can quantify the implementation effect of river and lake recovery measures, provide a scientific basis for judging whether the measures meet the expected conditions, and thus screen out effective recovery measures and improve the recovery efficiency of river and lake ecosystems.

[0105] S500: Conducting a water system connectivity assessment on the rivers and lakes, establishing water system connectivity conditions, and optimizing the associated impact of the first strategy for river and lake recovery based on the water system connectivity conditions to obtain a second strategy for river and lake recovery.

[0106] Specifically, water system connectivity determines the interactions between different river and lake regions in terms of water volume, pollutant dilution, and ecological restoration. During strategy formulation, the connectivity between remediation systems must be ensured. Connectivity is positively correlated with the degree of water ecology, ensuring a high degree of convenience between various aspects. The relevant calculation formula is:

[0107] ;

[0108] Where i represents the number of the river system whose connectivity is currently being calculated; j is the number of the other river system used to calculate the distance to the i-th river system; T iis the connectivity of the water system; n is the total number of water systems; D M,i is the average shortest topological distance between water system i and other water systems; d ji is the shortest topological distance from the jth river system to the ith river system (the shortest path based on geographical and hydrological topology); the (n−1) term is used to convert D M,i The total distance in is normalized (i.e., excluding itself); the (n−1) term is used to normalize T i Normalization processing (i.e. excluding itself and the water system closest to itself).

[0109] Specifically, optimization of interconnected impacts involves adjusting recovery measures so that recovery plans across regions achieve coordinated recovery within well-connected conditions. This helps optimize overall water quality and ecosystem recovery, including adjustments to resource allocation, process parameters, and scheduling. For example, for regions with strong water connectivity, investment in well-connected downstream areas can be appropriately reduced, while restoration efforts can be increased in less connected regions.

[0110] Specifically, the final recovery plan, adjusted under the influence of water system connectivity conditions, takes into account both the recovery needs of each region and the hydrological and ecological connectivity between rivers and lakes, helping to achieve optimal resource scheduling and coordinated restoration of the overall water quality ecology. The output results include specific recovery measures, resource allocation plans and expected recovery effects for each region, providing a decision-making basis for subsequent practical operations and environmental governance.

[0111] In summary, the water conservancy project control method based on water system connectivity provided by the present invention has the following technical effects:

[0112] By establishing a river and lake monitoring source tree, we monitor pressure impacts and obtain real-time data streams. Data is input into multiple channels for river and lake health assessment to generate health assessment vectors, and standard state deviations are calculated to form health deviation vectors. Based on the deviation vectors, water conservancy project control decisions are made and a river and lake recovery decision space is constructed. The decision space is optimized using recovery optimization factors to generate the first strategy for river and lake recovery. Water system connectivity assessments are conducted, connectivity conditions are established, and based on these conditions, recovery strategies are optimized to form the final river and lake recovery plan. This allows for effective river and lake recovery decisions that comprehensively consider the feedback loop between water system connectivity and water ecological restoration, significantly improving the technical effectiveness of ecological restoration.

[0113] Example 2, as Figure 2 This is a schematic diagram of the structure of the water conservancy project control system based on the water system connectivity condition of the present invention. For example, Figure 1 The flow chart of the water conservancy project control method based on the water system connection condition of the present invention can be shown as follows: Figure 2 The structure shown is implemented.

[0114] Based on the same concept as the water conservancy project control method based on the water system connectivity condition in the above embodiment, the present invention also provides a water conservancy project control system based on the water system connectivity condition, including:

[0115] The pressure impact monitoring and tracing module 11 is used to carry out pressure impact monitoring and tracing of rivers and lakes and establish a river and lake monitoring tracing tree.

[0116] The river and lake health assessment vector establishment module 12 is used to monitor the rivers and lakes in real time according to the river and lake monitoring source tree, obtain the river and lake monitoring data stream, and input the river and lake monitoring data stream into the river and lake health assessment multi-channel to establish a river and lake health assessment vector.

[0117] The decision space building module 13 is used to calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, and make water conservancy project control decisions based on the river and lake health deviation vector to build the first space for river and lake recovery decisions.

[0118] The recovery strategy acquisition module 14 is used to perform multi-level optimization on the first river and lake recovery decision space according to the river and lake recovery optimization factors to obtain the first river and lake recovery strategy.

[0119] The recovery strategy optimization module 15 is used to evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first river and lake recovery strategy based on the water system connectivity conditions to obtain the second river and lake recovery strategy.

[0120] In some embodiments, the pressure impact monitoring and tracing module 11 includes:

[0121] The river and lake stress source decoupling optimization unit is used to decouple and optimize the various stress sources of the rivers and lakes to obtain the distribution of river and lake stress sources. The stress source impact evaluation unit is used to evaluate the coercive impact based on the distribution of river and lake stress sources to obtain the stress source impact evaluation results. The stress source sorting matrix generation unit is used to sort and sort the distribution of river and lake stress sources based on the stress source impact evaluation results to obtain the stress source sorting matrix. The stress source monitoring indicator matching unit is used to match the monitoring indicators based on the stress source sorting matrix to obtain the monitoring indicator sets for each stress source. The river and lake monitoring source tracing tree construction unit is used to perform tree-like association based on the stress source sorting matrix and the monitoring indicator sets for each stress source to obtain the river and lake monitoring source tracing tree.

[0122] In some implementations, the river and lake pressure source decoupling optimization unit in the pressure impact monitoring and tracing module 11 includes:

[0123] The pressure source coupling evaluation unit is configured to evaluate the coupling degrees of each of the pressure sources in pairs to obtain a plurality of pressure source coupling coefficients. The pressure source coupling determination unit is configured to determine whether the plurality of pressure source coupling coefficients are greater than or equal to a predetermined coupling coefficient to obtain a plurality of pressure source coupling determination results. The pressure source adaptive decoupling unit is configured to adaptively decouple the plurality of pressure sources based on the plurality of pressure source coupling determination results to obtain the river and lake pressure source distribution.

[0124] In some embodiments, the river and lake health assessment vector establishment module 12 includes:

[0125] The multi-channel river and lake health assessment includes a comprehensive water quality assessment channel, a sediment pollution assessment channel, an ecological risk assessment channel, and a biodiversity assessment channel. The comprehensive water quality assessment unit is used to input the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index. The sediment pollution assessment unit is used to input the river and lake monitoring data stream into the sediment pollution assessment channel to obtain a sediment pollution index. The ecological risk assessment unit is used to input the river and lake monitoring data stream into the ecological risk assessment channel to obtain an ecological risk index. The biodiversity assessment unit is used to input the river and lake monitoring data stream into the biodiversity assessment channel to obtain a biodiversity assessment coefficient. The river and lake health assessment vector generation unit is used to perform vectorized sorting based on the comprehensive water quality index, the sediment pollution index, the ecological risk index, and the biodiversity assessment coefficient to generate the river and lake health assessment vector.

[0126] In some implementations, the comprehensive water quality assessment unit in the river and lake health assessment vector establishment module 12 includes:

[0127] The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1. A water quality feature identification unit is configured to identify water quality features based on the river and lake monitoring data stream to obtain river and lake water quality feature information. A comprehensive water quality assessment coefficient acquisition unit is configured to input the river and lake water quality feature information into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients. A comprehensive water quality index generation unit is configured to calculate a centralized value based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

[0128] In some embodiments, the decision space building module 13 includes:

[0129] The health assessment normal sample retrieval unit is used to retrieve the health assessment normal samples of the rivers and lakes to obtain the river and lake health assessment normal sample set, which includes the comprehensive water quality assessment normal sample set, the sediment pollution assessment normal sample set, the ecological risk assessment normal sample set and the biodiversity assessment normal sample set. The central value calculation and standard state sample acquisition unit is used to perform central value calculation based on the river and lake health assessment normal sample set to obtain the river and lake standard state multidimensional sample. The health standard vector construction unit is used to construct the river and lake health standard vector based on the river and lake standard state multidimensional sample. The health deviation vector generation unit is used to perform deviation calculation on the river and lake health assessment vector based on the river and lake health standard vector to generate the river and lake health deviation vector.

[0130] In some embodiments, the resuscitation strategy acquisition module 14 includes:

[0131] The river and lake recovery optimization factors include the degree of river and lake health improvement and the river and lake recovery efficiency. The river and lake recovery expected condition determination unit is used to make expected settings based on the river and lake recovery optimization factors and determine the expected conditions for river and lake recovery. The river and lake recovery optimality analytical function construction unit is used to perform weight allocation based on the river and lake recovery optimization factors and construct the river and lake recovery optimality analytical function. The river and lake recovery decision second space acquisition unit is used to perform optimization analysis on the river and lake recovery decision first space according to the river and lake recovery expected conditions and obtain the river and lake recovery decision second space. The river and lake recovery first strategy generation unit is used to perform river and lake recovery optimality maximization optimization on the river and lake recovery decision second space according to the river and lake recovery optimality analytical function and generate the river and lake recovery first strategy.

[0132] In some implementations, the second spatial acquisition unit for river and lake recovery decision-making in the recovery strategy acquisition module 14 includes:

[0133] The first decision extraction unit for river and lake recovery is used to extract the first decision for river and lake recovery based on the first space of the river and lake recovery decision. The first recovery prediction and evaluation result acquisition unit is used to perform a recovery prediction and evaluation on the river and lake based on the first decision for river and lake recovery to obtain a first recovery prediction and evaluation result. The expected condition judgment unit for river and lake recovery is used to judge whether the first recovery prediction and evaluation result meets the expected condition for river and lake recovery. The second space updating unit for river and lake recovery decision is used to add the first decision for river and lake recovery to the second space of the river and lake recovery decision if the first recovery prediction and evaluation result meets the expected condition for river and lake recovery. The first decision elimination unit for river and lake recovery is used to eliminate the first decision for river and lake recovery if the first recovery prediction and evaluation result does not meet the expected condition for river and lake recovery.

[0134] Furthermore, the first resuscitation prediction evaluation result obtaining unit further includes:

[0135] A first predicted river and lake state data and recovery efficiency acquisition unit is configured to perform a recovery prediction for the river and lake based on the first river and lake recovery decision to obtain first predicted river and lake state data and first predicted river and lake recovery efficiency. A first predicted river and lake health vector generation unit is configured to input the first predicted river and lake state data into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector.

[0136] The first predicted river and lake health improvement evaluation unit is configured to evaluate the first predicted river and lake health vector based on the river and lake health assessment vector to obtain a first predicted river and lake health improvement degree. The first recovery prediction evaluation result output unit is configured to output the first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency as the first recovery prediction evaluation result.

[0137] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the aforementioned embodiment one are also applicable to the water conservancy project control system based on water system connectivity conditions described in embodiment two. For the sake of brevity of the specification, no further elaboration is given here.

[0138] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the embodiments mentioned above. It should be understood that those skilled in the art can still modify the technical solutions described in the above embodiments or replace some of the technical features therein with equivalents; and such modifications or replacements do not deviate from the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention and are all included in the scope of protection of the present invention.

Claims

1. A water conservancy project control method based on water system connectivity, characterized in that: include: Conduct pressure impact monitoring on rivers and lakes and trace their sources, and establish a river and lake monitoring source tree, including: Decoupling and optimizing the various pressure sources of the rivers and lakes to obtain the distribution of pressure sources of the rivers and lakes; Conducting a stress impact assessment based on the distribution of river and lake stressors to obtain stress impact assessment results; Sorting and sorting the distribution of the river and lake pressure sources according to the pressure source impact assessment results to obtain a pressure source ranking matrix; Matching monitoring indicators according to the pressure source sorting matrix to obtain a monitoring indicator set for each pressure source; Perform tree-like association based on the pressure source sorting matrix and the pressure source monitoring indicator sets to obtain the river and lake monitoring source tracing tree; Perform real-time monitoring of the rivers and lakes according to the river and lake monitoring source tree to obtain a river and lake monitoring data stream, and input the river and lake monitoring data stream into a river and lake health assessment multi-channel to establish a river and lake health assessment vector; Performing standard state deviation calculation on the river and lake health assessment vector to determine the river and lake health deviation vector, and making water conservancy project control decisions based on the river and lake health deviation vector to build the first space for river and lake recovery decision-making; Performing multi-level optimization on the first space of river and lake recovery decision-making according to the river and lake recovery optimization factors to obtain the first strategy for river and lake recovery; Conduct a water system connectivity assessment on the rivers and lakes, establish water system connectivity conditions, and optimize the associated impacts of the first strategy for river and lake recovery based on the water system connectivity conditions to obtain a second strategy for river and lake recovery.

2. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: Decoupling and optimizing the various pressure sources of the rivers and lakes to obtain the distribution of river and lake pressure sources, including: Performing pairwise coupling evaluation on the various pressure sources to obtain multiple pressure source coupling coefficients; Determining whether the coupling coefficients of the multiple pressure sources are greater than or equal to a predetermined coupling coefficient, and obtaining a determination result of the coupling of the multiple pressure sources; The various pressure sources are adaptively decoupled according to the coupling judgment results of the multiple pressure sources to obtain the distribution of the river and lake pressure sources.

3. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: Input the river and lake monitoring data stream into the river and lake health assessment multi-channel to establish a river and lake health assessment vector, including: The multi-channels for river and lake health assessment include comprehensive water quality assessment channel, sediment pollution assessment channel, ecological risk assessment channel and biodiversity assessment channel; Inputting the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index; Inputting the river and lake monitoring data stream into the sediment pollution assessment channel to obtain a sediment pollution index; Inputting the river and lake monitoring data stream into the ecological risk assessment channel to obtain an ecological risk index; Inputting the river and lake monitoring data stream into a biodiversity assessment channel to obtain a biodiversity assessment coefficient; The river and lake health assessment vector is generated by vectorizing and arranging the comprehensive water quality index, the sediment pollution index, the ecological risk index and the biodiversity assessment coefficient.

4. The water conservancy project control method based on water system connectivity conditions according to claim 3, characterized in that: Inputting the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index, including: The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1; Identify water quality characteristics based on the river and lake monitoring data stream to obtain river and lake water quality characteristic information; Inputting the river and lake water quality characteristic information into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients; A centralized value calculation is performed based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

5. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: Calculating the standard deviation of the river and lake health assessment vector to determine the river and lake health deviation vector includes: Performing a health assessment normal sample search on the rivers and lakes to obtain a river and lake health assessment normal sample set, wherein the river and lake health assessment normal sample set includes a comprehensive water quality assessment normal sample set, a sediment pollution assessment normal sample set, an ecological risk assessment normal sample set, and a biodiversity assessment normal sample set; Calculate the central value based on the normal sample set of river and lake health assessment to obtain a multi-dimensional sample of the standard state of rivers and lakes; Constructing a river and lake health standard vector based on the multidimensional sample of river and lake standard states; The deviation of the river and lake health assessment vector is calculated based on the river and lake health standard vector to generate the river and lake health deviation vector.

6. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: A multi-level optimization is performed on the first space of river and lake recovery decision-making based on the river and lake recovery optimization factors to obtain the first strategy for river and lake recovery, including: The river and lake recovery optimization factors include river and lake health improvement and river and lake recovery efficiency; Expected settings are made based on the river and lake recovery optimization factors to determine the expected conditions for river and lake recovery; According to the optimization factors for river and lake recovery, weights are allocated and an optimal analytical function for river and lake recovery is constructed; Performing optimization analysis on the first river and lake recovery decision space according to the desired conditions for river and lake recovery to obtain a second river and lake recovery decision space; According to the analytical function of the optimality of river and lake recovery, the optimality of river and lake recovery is maximized in the second space of the river and lake recovery decision-making to generate the first strategy for river and lake recovery.

7. The water conservancy project control method based on water system connectivity according to claim 6, characterized in that: The first space of river and lake recovery decision-making is optimized and analyzed according to the expected conditions for river and lake recovery to obtain the second space of river and lake recovery decision-making, including: Extracting a first decision for river and lake restoration according to the first decision space for river and lake restoration; Performing a recovery prediction and evaluation on the river and lake according to the first decision on river and lake recovery to obtain a first recovery prediction and evaluation result; Determining whether the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery; If the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, adding the first river and lake recovery decision to the second river and lake recovery decision space; If the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, the first decision for river and lake recovery is eliminated.

8. The water conservancy project control method based on water system connectivity conditions according to claim 7, characterized in that: Performing a recovery prediction and evaluation on the river and lake according to the first river and lake recovery decision to obtain a first recovery prediction and evaluation result, including: Performing a recovery prediction on the river and lake according to the first decision on river and lake recovery, and obtaining first predicted river and lake state data and first predicted river and lake recovery efficiency; Inputting the first predicted river and lake state data into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector; Evaluate the river and lake health improvement degree of the first predicted river and lake health vector according to the river and lake health assessment vector to obtain a first predicted river and lake health improvement degree; The first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation result.

9. A water conservancy project control system based on water system connectivity is characterized by: The method for controlling a water conservancy project based on water system connectivity conditions according to any one of claims 1 to 8 comprises: The pressure impact monitoring and tracing module is used to monitor and trace the pressure impact of rivers and lakes and establish a river and lake monitoring tracing tree; A river and lake health assessment vector establishment module is used to monitor the rivers and lakes in real time according to the river and lake monitoring source tree, obtain river and lake monitoring data streams, and input the river and lake monitoring data streams into the river and lake health assessment multi-channel to establish a river and lake health assessment vector; A decision space building module is used to calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, and make water conservancy project control decisions based on the river and lake health deviation vector to build the first river and lake recovery decision space; A recovery strategy acquisition module is used to perform multi-level optimization on the first river and lake recovery decision space according to the river and lake recovery optimization factors to obtain the first river and lake recovery strategy; The recovery strategy optimization module is used to evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first river and lake recovery strategy based on the water system connectivity conditions to obtain the second river and lake recovery strategy.

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