Simulation and prediction method for efficient utilization of multi-scale water resources in arid region based on coupling model
By employing an online two-way coupling mechanism and a ternary dynamic feedback chain, the problem of inaccurate dynamic interaction simulation of water resources in traditional water resource management has been solved, enabling efficient utilization and accurate prediction of water resources in arid areas and promoting coordinated development of ecology and economy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-19
- Publication Date
- 2026-03-27
AI Technical Summary
Traditional water resource planning and management methods are unable to accurately depict the dynamic interaction between complex hydrological cycles and socio-economic water use, resulting in simulation results that deviate from the complex feedback characteristics of the real system and fail to accurately simulate the dynamic interaction and competition between water resources in natural cycles and social use.
By adopting an online bidirectional coupling mechanism based on a coupling model and a ternary dynamic feedback chain, a multi-object coupled computing framework is formed by collecting, preprocessing, and structuring the relationships of multi-source water cycle data in arid areas. This framework enables real-time data exchange and status synchronization among surface water, groundwater, ecological water demand, and unconventional water objects.
It has enabled efficient utilization and accurate forecasting of water resources in arid areas, improved the efficiency and accuracy of water resource management, promoted the coordinated development of ecology and economy, and alleviated the water shortage problem in arid areas.
Smart Images
Figure CN121744666A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of water resources management technology, and in particular relates to a simulation and prediction method for efficient water resources utilization at multiple scales in arid regions based on a coupled model. Background Technology
[0002] Traditional water resource planning and management methods are unable to accurately depict the dynamic interaction between complex hydrological cycles and socio-economic water use. With the intensification of climate change and human activities, the uncertainty and risks faced by water resource systems in arid areas have increased significantly, making scientific simulation and accurate prediction a key technical bottleneck for achieving optimal allocation of water resources.
[0003] Existing technologies employ either a single model running independently or offline coupling via data files. This offline coupling method fails to achieve real-time data exchange and status synchronization between key processes such as surface water, groundwater, and ecological water demand at each time step of the simulation process. This directly results in the model's inability to depict the dynamic interaction and competition between natural water resource cycles and social access, leading to simulation results that deviate from the complex feedback characteristics of the real system.
[0004] To address these issues, we present a multi-scale simulation and prediction method for efficient water resource utilization in arid regions based on a coupled model. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this invention provides a simulation and prediction method for efficient water resource utilization at multiple scales in arid regions based on a coupled model. The technical problem this invention aims to solve is: how to accurately simulate the dynamic interaction and competition of water resources by using an online bidirectional coupling mechanism and a ternary dynamic feedback chain.
[0006] This invention provides a method for simulating and predicting efficient water resource utilization at multiple scales in arid regions based on a coupled model, comprising: S1. Collect water cycle data in arid areas to form a multi-source water cycle dataset for arid areas. Preprocess the multi-source water cycle dataset for arid areas to form a water cycle objectified basic set. The water cycle objectified basic set includes surface water objects, groundwater objects, ecological water demand objects, and unconventional water objects. S2. Perform relational structuring on the objectified basic set of the water cycle to form an online bidirectional coupling mechanism; S3. Under the online two-way coupling mechanism, the surface water object, the groundwater object, and the ecological water demand object are fed back and looped to form a ternary dynamic feedback chain; S4. Under the coordination constraints of the three-element dynamic feedback chain, a multi-source collaborative unconventional water utilization scheme is formed for the unconventional water object; S5. Integrate the online bidirectional coupling mechanism, the ternary dynamic feedback chain, and the unconventional water utilization scheme to form a multi-object coupled computing framework. Based on the multi-object coupled computing framework, simulate and predict the water resources of the arid region and output the multi-scale water resource utilization results of the arid region.
[0007] The present invention is further configured such that the data acquisition adopts a sensor array, the sensor array including a flow sensor and a water level sensor, and the preprocessing performs data cleaning and format unification on the multi-source water cycle dataset of the arid area.
[0008] The present invention is further configured such that the relationship structuring process defines the relationships between the surface water object, the groundwater object, the ecological water demand object, and the unconventional water object, and the steps of the relationship structuring process are as follows: S21. Define the hydraulic connection between the surface water object and the groundwater object based on spatial topology to form a first water exchange rule; S22. Define the ecological association between the groundwater object and the ecological water demand object based on water stress response to form a second ecological water consumption rule, wherein the second ecological water consumption rule takes the state of the groundwater object as input; S23. Construct the online two-way coupling mechanism based on the first water exchange rule and the second ecological water consumption rule.
[0009] The present invention is further configured such that: the first water exchange rule is to calculate the real-time water exchange flux between the surface water object and the groundwater object based on the dynamic difference between the water level of the surface water object and the water level of the adjacent groundwater object; the second ecological water consumption rule is to calculate the actual water consumption of the ecological water demand object caused by the dynamic change of the water level of the groundwater object based on the root depth and drought resistance characteristics of the ecological water demand object; and the water status of the groundwater object is updated through the water balance calculation of the groundwater object.
[0010] The present invention is further configured such that the online bidirectional coupling mechanism calculates the amount of water exchanged between the surface water object and the groundwater object according to the first water exchange rule, uses the exchanged water amount as an input, and updates the water status of the surface water object and the groundwater object in conjunction with the water balance calculation of the groundwater object. Based on the updated status of the groundwater object, the second ecological water consumption rule is invoked to calculate the actual water consumption of the ecological water demand object, and the actual water consumption is fed back as a discharge item to the water balance calculation of the groundwater object.
[0011] The present invention is further configured such that the ternary dynamic feedback chain includes a first segment, a second segment, and a third segment. In the first segment, when the water level of the surface water object rises, the groundwater object is replenished; when the water level of the surface water object falls, the infiltration of the groundwater object decreases. In the second segment, when the water level of the groundwater object falls, the ecological water consumption of the ecological water-demanding object increases; when the water level of the groundwater object rises, the ecological water consumption of the ecological water-demanding object decreases. In the third segment, when the ecological water consumption of the ecological water-demanding object increases, the surface water object and the groundwater object supply water resources; when the ecological water consumption of the ecological water-demanding object decreases, the pressure of the surface water object and the groundwater object decreases, restoring the replenishment balance.
[0012] The present invention is further configured such that the allocation constraint is to calculate the water shortage of the surface water object and the groundwater object.
[0013] The present invention is further configured such that the multi-source collaboration involves extracting the substitution priority of the unconventional water object based on the availability and water quality conditions of the unconventional water object, and allocating water resources to the water shortage according to the substitution priority to generate the unconventional water utilization scheme.
[0014] The present invention is further configured such that the construction of the multi-object coupled computing framework includes generating a joint water balance equation for the surface water object, the groundwater object, and the ecological water demand object based on the online bidirectional coupling mechanism and the ternary dynamic feedback chain, embedding the supply quantity in the unconventional water use scheme as an external input into the joint water balance equation, and iteratively solving the joint water balance equation to output the multi-scale water resource utilization results of the arid area.
[0015] The present invention is further configured such that the iterative solution involves repeatedly updating the state of the surface water object, the state of the groundwater object, and the state of the ecological water demand object in the joint water balance equation within adjacent time steps, until the water quantity changes of the surface water object, the groundwater object, and the ecological water demand object satisfy the convergence condition.
[0016] The beneficial effects of this invention are as follows: By collecting and preprocessing multi-source water cycle data from arid regions, this invention forms a basic set of water cycle objects, providing a structured data foundation for dynamic water resource management. Through an online two-way coupling mechanism, the relationship between surface water, groundwater, ecological water demand, and unconventional water sources is modeled, and by updating and adjusting water quantity status in real time, the rational allocation and prediction of water resources are ensured.
[0017] By implementing a feedback loop mechanism and unconventional water use schemes, this invention addresses the challenge of water scarcity in arid regions. Multi-source synergistic optimization of unconventional water allocation, prioritizing water resource distribution based on water quality and availability, enhances the resilience of water resource utilization. By integrating an online two-way coupling mechanism, a ternary dynamic feedback chain, and unconventional water use schemes, it improves water conservation and allocation efficiency, promotes the sustainable use of regional water resources, and drives coordinated ecological and economic development. Attached Figure Description
[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.
[0019] Figure 1 This is a flowchart of the overall process of the method of the present invention.
[0020] Figure 2 This is a schematic diagram illustrating the construction of the online bidirectional coupling mechanism of the present invention.
[0021] Figure 3 This is a flowchart of the data flow and iterative solution process of this invention. Detailed Implementation
[0022] The technical solutions of the present invention will be described below with reference to the accompanying drawings. The described embodiments are only some embodiments of the present invention, and not all embodiments.
[0023] Example 1 Please see Figures 1-3 This invention provides a simulation and prediction method for efficient water resource utilization at multiple scales in arid regions based on a coupled model, comprising: S1. Water cycle data from arid regions is collected to form a multi-source water cycle dataset. This dataset is then preprocessed to create a water cycle object-oriented base set, which includes surface water objects, groundwater objects, ecological water demand objects, and unconventional water objects. Data collection utilizes a sensor array, including flow sensors and water level sensors. Preprocessing involves cleaning and formatting the multi-source water cycle dataset from arid regions.
[0024] S2. Relationship structuring is applied to the basic object set of the water cycle to form an online bidirectional coupling mechanism. Relationship structuring defines the relationships between surface water objects, groundwater objects, ecological water demand objects, and unconventional water objects. The steps of relationship structuring are as follows: S21. Define the hydraulic connection between surface water objects and groundwater objects based on spatial topology to form the first water exchange rule.
[0025] S22. Define the ecological association between groundwater objects and ecological water demand objects based on water stress response to form a second ecological water consumption rule. The second ecological water consumption rule takes the state of groundwater objects as input.
[0026] S23. Construct an online two-way coupling mechanism based on the first water exchange rule and the second ecological water consumption rule.
[0027] The first water exchange rule is based on the dynamic difference between the water level of surface water objects and the water level of adjacent groundwater objects, and calculates the real-time water exchange flux between surface water objects and groundwater objects. The second ecological water consumption rule is based on the root depth and drought resistance characteristics of ecological water demand objects, and calculates the actual water consumption of ecological water demand objects caused by the dynamic changes in the water level of groundwater objects. The water status of groundwater objects is updated through groundwater object water balance calculation.
[0028] The online two-way coupling mechanism calculates the water exchange volume between surface water objects and groundwater objects according to the first water exchange rule, uses the exchanged water volume as an input, and updates the water status of surface water objects and groundwater objects in conjunction with the water balance calculation of groundwater objects. Based on the updated status of groundwater objects, the second ecological water consumption rule is invoked to calculate the actual water consumption of ecological water demand objects, and the actual water consumption is fed back as a discharge item to the water balance calculation of groundwater objects.
[0029] S3. Under the online two-way coupling mechanism, a ternary dynamic feedback chain is formed by feedback loops between surface water, groundwater, and ecological water demand. The ternary dynamic feedback chain includes a first segment, a second segment, and a third segment. In the first segment, when the surface water level rises, the groundwater is replenished; when the surface water level falls, groundwater infiltration decreases. In the second segment, when the groundwater level falls, the ecological water consumption of ecological water demand increases; when the groundwater level rises, the ecological water consumption of ecological water demand decreases. In the third segment, when the ecological water consumption of ecological water demand increases, both surface water and groundwater supply water resources; when the ecological water consumption of ecological water demand decreases, the pressure on surface water and groundwater decreases, restoring the replenishment balance.
[0030] S4. Under the allocation constraints of the ternary dynamic feedback chain, multi-source collaboration is used to form unconventional water utilization schemes for unconventional water objects. The allocation constraint is to calculate the water shortage of surface water objects and groundwater objects. Multi-source collaboration involves extracting the substitution priority of unconventional water objects based on their available quantity and water quality conditions, and allocating water resources according to the water shortage according to the substitution priority to generate unconventional water utilization schemes.
[0031] S5. An online bidirectional coupling mechanism, a ternary dynamic feedback chain, and unconventional water use schemes are integrated to form a multi-object coupled computational framework. Based on this framework, water resources in arid regions are simulated and predicted, outputting multi-scale water resource utilization results. The construction of the multi-object coupled computational framework involves generating a joint water balance equation for surface water, groundwater, and ecological water demand objects based on the online bidirectional coupling mechanism and the ternary dynamic feedback chain. The supply quantity from unconventional water use schemes is embedded as an external input into the joint water balance equation. The joint water balance equation is iteratively solved to output multi-scale water resource utilization results in arid regions. The iterative solution involves repeatedly updating the states of surface water, groundwater, and ecological water demand objects in the joint water balance equation within adjacent time steps until the water quantity changes of these objects satisfy the convergence condition.
[0032] By comprehensively collecting and processing multi-source water cycle data, the invention enables efficient integration and dynamic management of different water resources. The online two-way coupling mechanism allows water resource management to be based on historical data and respond in real time to changes in water levels and ecological needs, thus improving the efficiency of water resource management.
[0033] By introducing ecological correlation rules based on water stress response, the water consumption of ecological water-demanding objects was accurately simulated, and the groundwater supply was dynamically adjusted to reduce the negative impact on the ecological environment and ensure the sustainable development of the ecological environment under water resource constraints.
[0034] By employing a multi-source synergy approach, and considering the substitution priorities and water quality conditions of unconventional water sources, the utilization scheme for unconventional water resources was optimized, alleviating the dependence of arid regions on traditional water resources and improving the efficiency of unconventional water resource utilization.
[0035] By employing a ternary dynamic feedback loop, the water resource status is precisely tracked and adjusted, resulting in more accurate water resource simulation and prediction results for arid regions. The comprehensive calculation framework considers water quantity changes and integrates the interactions between water resources, providing more precise prediction results.
[0036] Example 2 Please see Figure 2 Based on Example 1, a water resource management system with an online two-way coupling mechanism is applied to optimize the allocation and utilization of water resources in arid regions, thereby ensuring the balance between the ecological environment, agricultural irrigation, and surface water and groundwater. The specific implementation method is as follows: This example describes an arid region located in Gansu Province, China, with an annual precipitation of approximately 250 mm, classifying it as a typical arid area. Due to the scarcity of surface water resources, groundwater is the primary water source, and excessive groundwater extraction has already created significant water resource pressure. To scientifically allocate water resources and ensure water supply for agricultural irrigation and ecological needs, an online two-way coupling mechanism is employed for efficient management and allocation of water resources.
[0037] 1. System Equipment and Data Acquisition Sensor deployment: Surface water monitoring: In a lake in Gansu Province, i.e., surface water A, water level sensors and flow sensors are deployed to monitor water level and flow rate in real time, with a data collection frequency of once per hour.
[0038] Groundwater monitoring: Water level sensors are deployed near groundwater source B, i.e., the groundwater well, to monitor changes in groundwater level in real time.
[0039] Ecological water demand monitoring: Soil moisture and plant water demand sensors are deployed in the root zone of the plant, which is the ecological water demand object C, to monitor soil moisture, root depth and drought resistance index of the plant.
[0040] Data collection: Surface water level A: According to monitoring data from the Gansu Provincial Department of Water Resources in April 2023, the surface water level A was 3 meters.
[0041] Groundwater level B: According to data from the Gansu Provincial Groundwater Monitoring Network, the groundwater level B is 2.6 meters.
[0042] Ecological water requirement C: Root depth 1.2 meters, drought tolerance index 0.8, data sourced from vegetation growth survey conducted by Gansu Provincial Ecological Research Center.
[0043] 2. Water Cycle Object Data and Calculation Basis Surface water A: According to the Gansu Provincial Water Resources Assessment Report, the flow rate of surface water A is 12 cubic meters per hour, and the area is 15,000 square meters.
[0044] Water volume changes: Groundwater B: According to the annual report on groundwater resources in Gansu Province, the thickness of the groundwater layer is 20 meters and the water storage is 500,000 cubic meters.
[0045] Water volume change: When the groundwater level drops by 0.1 meters, the water storage changes as follows: Ecological water demand C: Data from the Gansu Provincial Ecological Research Center shows that the ecological water demand C is 2 cubic meters per hour.
[0046] 3. Calculation of water exchange rules The difference in water levels between surface water and groundwater: the water level of surface water A is 3.0 meters, the water level of groundwater B is 2.6 meters, and the difference in water levels is 0.4 meters.
[0047] Water exchange flux: Based on hydraulic principles, the formula for calculating the water exchange flux between surface water and groundwater is: in, It is an empirical constant. Surface water level This refers to the groundwater level.
[0048] Determined based on hydrological models and empirical values from regional water resources studies. The empirical constant is usually derived through field experiments and regression analysis of historical data to reflect the actual water exchange efficiency between surface water and groundwater.
[0049] 4. Calculation of Ecological Water Consumption Rules The relationship between groundwater and ecological water demand: The root depth of ecological water demand object C is 1.2 meters, the drought resistance index is 0.8, and the groundwater level is 2.6 meters.
[0050] Formula for calculating ecological water demand: in, It is an empirical constant. For root depth, The drought resistance index This refers to the groundwater level.
[0051] Result: The actual water consumption of ecological water demand object C is negative, which means that the groundwater supply is sufficient and ecological water demand object C does not need additional water replenishment.
[0052] 5. Construction of an online bidirectional coupling mechanism Feedback mechanism: When the groundwater level rises, the recharge of surface water A decreases, while groundwater B provides more water. When the groundwater level falls, surface water A provides more water to replenish the groundwater deficit. The water consumption for ecological water requirement C depends on changes in the groundwater level.
[0053] Optimization of unconventional water use: According to statistics from the Gansu Provincial Water Resources Department, the wastewater reuse system has been put into use, providing 10,000 cubic meters of water per day, which is suitable for irrigation needs.
[0054] Water resource optimization and allocation: In the event of water shortage, the system prioritizes the use of unconventional water sources to supplement water supply, ensuring that ecological water needs and agricultural irrigation needs are not affected.
[0055] Through the above steps, efficient management of water resources in arid regions has been achieved, providing a sustainable water resource management model for arid regions, which helps to solve the problem of water shortage and promotes the coordinated development of the ecological environment and the economy.
[0056] Example 3 Please see Figure 3 Based on Examples 1 and 2, a multi-object coupled computing framework is constructed to achieve optimized allocation and efficient management of water resources in arid areas, ensuring a balance among surface water, groundwater, ecological water demand, and unconventional water sources. The specific implementation method is as follows: 1. Data Sources and Basis All data in this embodiment are derived from publicly available data from the Gansu Provincial Government and relevant water resources monitoring departments.
[0057] Surface Water A: Monitoring data from the Gansu Provincial Department of Water Resources in April 2023 showed that the surface water level of a certain lake was 3.0 meters, the flow rate was 12 cubic meters per hour, and the area was 15,000 square meters.
[0058] Groundwater B: Data from the Gansu Provincial Groundwater Monitoring Network in April 2023 shows that the groundwater level was 2.6 meters, the groundwater layer thickness was 20 meters, and the groundwater storage was 500,000 cubic meters.
[0059] Ecological water requirement C: According to the survey data of ecological protection areas in Gansu Province in 2023, the root depth of ecological water requirement object C is 1.2 meters, the drought resistance index is 0.8, and the ecological water requirement is 2 cubic meters / hour.
[0060] Unconventional water sources: Data from the Gansu Province wastewater reuse system shows that the supply of reused water is 10,000 cubic meters per day, while the actual usage is 8,000 cubic meters per day.
[0061] 2. Construction of the joint water balance equation The multi-object coupled computing framework integrates the water balance relationship between surface water, groundwater, ecological water demand objects and unconventional water sources, ensuring the rational allocation of water resources.
[0062] Surface water A-balance equation: in, For inflow, For outflow, This refers to the amount of water exchanged.
[0063] According to data from the Gansu Provincial Department of Water Resources, the surface water inflow is 15 cubic meters per hour. The surface water outflow is known to be 12 cubic meters per hour, and the water exchange between surface water and groundwater is 0.34 cubic meters per hour.
[0064] Water volume changes: The above results indicate that the volume of surface water A increases by 3.34 cubic meters per hour.
[0065] Groundwater quantity balance equation B: in, For supply volume, For the extraction amount, This refers to the amount of water exchanged.
[0066] According to data from the Gansu Provincial Groundwater Monitoring Network, the groundwater recharge rate is 5 cubic meters per hour, while actual water demand data shows a groundwater extraction rate of 3 cubic meters per hour. The known water exchange rate is 0.34 cubic meters per hour.
[0067] Water volume changes: The above results indicate that the volume of groundwater B increases by 1.66 cubic meters per hour.
[0068] Ecological water demand C balance equation: in, For ecological water input. This refers to the output of water required for ecological purposes.
[0069] According to data from Gansu Province's ecological and environmental protection department, both the ecological water demand input and ecological water demand output are 2 cubic meters per hour.
[0070] A result of 0 indicates that the ecological water demand C is maintained in balance.
[0071] 3. Water balance in conjunction with unconventional water sources Unconventional water sources can alleviate water shortages. The system optimizes water resource allocation by introducing unconventional water sources.
[0072] Unconventional water balance equations: in, For the supply of unconventional water sources, This represents the actual amount used.
[0073] This means that the system has 2,000 cubic meters of unconventional water available each day, which can be used to supplement the shortage of other water bodies.
[0074] 4. Integration and Feedback Regulation of Water Balance Equations By integrating water balance equations for surface water, groundwater, ecological water demand, and unconventional water sources, a unified multi-object coupled computing framework is formed to monitor changes in water resources in real time and dynamically allocate water resources.
[0075] Allocation mechanism: When the water volume of surface water A and groundwater B is insufficient, the system prioritizes the use of unconventional water sources to supplement the water supply, ensuring that the needs of ecological water and agricultural irrigation are met.
[0076] When the groundwater level drops by more than 0.1 meters, the system will automatically increase the use of unconventional water sources, prioritizing ecological water needs and agricultural irrigation.
[0077] Feedback mechanism: The system analyzes real-time data changes in the water volume of each water body and dynamically adjusts the allocation of water resources based on the changing trends. When the groundwater level drops, the system prioritizes the use of unconventional water sources to ensure water resource balance.
[0078] In summary, this embodiment realizes the scientific management and dynamic allocation of water resources in arid areas, provides a sustainable water resource management solution for arid regions, alleviates water shortage problems, and promotes the coordinated development of the ecological environment and the economy.
[0079] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.
Claims
1. A simulation and prediction method for efficient water resource utilization at multiple scales in arid regions based on a coupled model. Includes, characterized in that: S1. Collect water cycle data in arid areas to form a multi-source water cycle dataset for arid areas. Preprocess the multi-source water cycle dataset for arid areas to form a water cycle objectified basic set. The water cycle objectified basic set includes surface water objects, groundwater objects, ecological water demand objects, and unconventional water objects. S2. Perform relational structuring on the objectified basic set of the water cycle to form an online bidirectional coupling mechanism; S3. Under the online two-way coupling mechanism, the surface water object, the groundwater object, and the ecological water demand object are fed back and looped to form a ternary dynamic feedback chain; S4. Under the coordination constraints of the three-element dynamic feedback chain, a multi-source collaborative unconventional water utilization scheme is formed for the unconventional water object; S5. Integrate the online bidirectional coupling mechanism, the ternary dynamic feedback chain, and the unconventional water utilization scheme to form a multi-object coupled computing framework. Based on the multi-object coupled computing framework, simulate and predict the water resources of the arid region and output the multi-scale water resource utilization results of the arid region.
2. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model as described in claim 1, characterized in that: The data acquisition employs a sensor array, which includes a flow sensor and a water level sensor. The preprocessing involves cleaning and formatting the multi-source water cycle dataset from the arid region.
3. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 1, characterized in that: The relationship structuring process defines the relationships between the surface water object, the groundwater object, the ecological water demand object, and the unconventional water object. The steps of the relationship structuring process are as follows: S21. Define the hydraulic connection between the surface water object and the groundwater object based on spatial topology to form a first water exchange rule; S22. Define the ecological association between the groundwater object and the ecological water demand object based on water stress response to form a second ecological water consumption rule, wherein the second ecological water consumption rule takes the state of the groundwater object as input; S23. Construct the online two-way coupling mechanism based on the first water exchange rule and the second ecological water consumption rule.
4. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 3, characterized in that: The first water exchange rule is to calculate the real-time water exchange flux between the surface water object and the groundwater object based on the dynamic difference between the water level of the surface water object and the water level of the adjacent groundwater object. The second ecological water consumption rule is to calculate the actual water consumption of the ecological water demand object caused by the dynamic change of the groundwater object's water level based on the root depth and drought resistance characteristics of the ecological water demand object. The water status of the groundwater object is updated through the water balance calculation of the groundwater object.
5. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 4, characterized in that: The online bidirectional coupling mechanism calculates the water exchange volume between the surface water object and the groundwater object according to the first water exchange rule, uses the exchanged water volume as an input, and updates the water status of the surface water object and the groundwater object in conjunction with the water balance calculation of the groundwater object. Based on the updated status of the groundwater object, the second ecological water consumption rule is invoked to calculate the actual water consumption of the ecological water demand object, and the actual water consumption is fed back as a discharge item to the water balance calculation of the groundwater object.
6. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 1, characterized in that: The ternary dynamic feedback chain includes a first segment, a second segment, and a third segment. In the first segment, when the surface water level rises, the groundwater is replenished; when the surface water level falls, the groundwater infiltration decreases. In the second segment, when the groundwater level falls, the ecological water consumption of the ecological water-demanding object increases; when the groundwater level rises, the ecological water consumption of the ecological water-demanding object decreases. In the third segment, when the ecological water consumption of the ecological water-demanding object increases, both the surface water and the groundwater supply water resources; when the ecological water consumption of the ecological water-demanding object decreases, the pressure of the surface water and the groundwater decreases, restoring the replenishment balance.
7. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 1, characterized in that: The allocation constraint is to calculate the water shortage of the surface water object and the groundwater object.
8. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 7, characterized in that: The multi-source collaboration involves extracting the substitution priority of the unconventional water object based on its availability and water quality conditions, and then allocating water resources according to the substitution priority to generate the unconventional water utilization scheme.
9. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 1, characterized in that: The construction of the multi-object coupled computing framework includes generating a joint water balance equation for the surface water object, the groundwater object, and the ecological water demand object based on the online bidirectional coupling mechanism and the ternary dynamic feedback chain, embedding the supply amount in the unconventional water use scheme as an external input into the joint water balance equation, and iteratively solving the joint water balance equation to output the multi-scale water resource utilization results in the arid area.
10. The method for simulation and prediction of efficient water resource utilization in arid regions based on a coupled model according to claim 9, characterized in that: The iterative solution involves repeatedly updating the states of the surface water object, the groundwater object, and the ecological water demand object in the joint water balance equation within adjacent time steps until the water quantity changes of the surface water object, the groundwater object, and the ecological water demand object satisfy the convergence condition.