Modularized lake and reservoir demand simulation system
By designing a modular lake and reservoir demand simulation system, including multiple functional module groups and computing processing models, the problem that existing technology cannot effectively simulate the growth and distribution of aquatic plants in different lakes and reservoirs has been solved, and high accuracy and universality have been achieved. Lake library simulation fills the technical gap.
Patent Information
- Application Number
- CN202411407813.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-10
- Publication Date
- 2025-01-24
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art cannot effectively simulate the growth and distribution of higher aquatic plants in different lake reservoirs, and cannot accurately analyze the various environmental factors affecting the growth of aquatic plants.
A modular lake library demand simulation system is designed, including processors and multiple functional module groups. The module includes water power modules, water age modules, water temperature modules, water quality modules, chlorophyll modules and habitat modules. The library mode is the system, and the corresponding computing processing model is introduced to achieve effective simulation of different lake and reservoir land.
It improves the accuracy and universality of lake and reservoir simulations, can better grasp the growth and distribution of higher aquatic plants in different lakes and reservoirs, fills the technical gap in this area of existing technology, and realizes the complex ecology of lakes and reservoirs. effective simulation.
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Figure CN119358446A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of electrical digital data processing technology, and in particular to a modular lake reservoir demand simulation system. Background Art
[0002] The growth and distribution of higher aquatic plants in lakes and reservoirs are affected by many factors. From the perspective of the external environment, underwater light intensity, suspended particle concentration, hydrodynamics, nutrient concentration, human interference, etc. will affect the growth and reproduction of higher aquatic plants, especially submerged plants. The above is because most submerged plants, except for the flowering period, are located below the water surface. Submerged plants have almost no direct contact with the atmospheric environment. The growth of submerged plants depends largely on the lake water environment.
[0003] Based on this, it is necessary to simulate and analyze the environmental factors that affect the growth and distribution of higher aquatic plants in order to better understand the growth and distribution of higher aquatic plants in different lakes and reservoirs. Summary of the invention
[0004] The purpose of this application is to provide a modular lake demand simulation system, which solves the technical problem that the existing technology cannot simulate the conditions of different lakes and reservoirs by constructing a simulation system combined with a simulation model.
[0005] According to one aspect of the present application, a modular lake demand simulation system is provided, comprising a processor and a functional module group controlled by the processor; the functional module group is data-connected to a verification module group, the functional module group is configured with at least a hydrodynamic module, a water age module, a water temperature module, a water quality module, a chlorophyll module and a habitat module, the verification module group comprises at least a hydrodynamic verification module, a water age verification module, a water temperature verification module, a water quality verification module, a chlorophyll verification module and a habitat verification module, and the verification module group receives data information from the functional module group to perform data verification.
[0006] In some embodiments, the hydrodynamic module includes at least a computing unit for water information processing, and at least a first computing model is configured in the computing unit.
[0007] In some embodiments, the first computing model is configured with at least a transformation model, a momentum model, a continuity model, and a density model, and the transformation model, the momentum model, the continuity model, and the density model perform chain calculations.
[0008] In some embodiments, the water age module is configured with at least a water age concentration distribution spectrum model.
[0009] In some embodiments, the water temperature module is configured with at least a temperature and heat transfer model, a surface heat exchange rate model, a light intensity model, and a sedimentation bed and water column bottom heat exchange rate model, and the temperature and heat transfer model, the surface heat exchange rate model, the light intensity model, and the sedimentation bed and water column bottom heat exchange rate model perform chain calculations.
[0010] In some embodiments, the water quality module is configured with a convection diffusion unit and a source-sink change unit.
[0011] In some embodiments, the chlorophyll module is configured with a total phosphorus and chlorophyll a comparison unit.
[0012] In some embodiments, a habitat suitability analysis model is configured in the habitat module.
[0013] Compared with the existing technology, the present application has the following advantages and beneficial effects: the system of the present application constructs a lake and reservoir simulation system through a hydrodynamic module, a water age module, a water temperature module, a water quality module, a chlorophyll module and a habitat module, and further realizes effective simulation of different lakes and reservoirs by importing corresponding calculation and processing models, thereby improving the accuracy and universality of lake and reservoir simulation, filling the technical gaps in this area of the existing technology and realizing effective simulation of the complex ecology of lakes and reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0015] Figure 1 It is a schematic diagram of the simulation system structure of this application. DETAILED DESCRIPTION
[0016] The following will be combined with the attached examples of the present application Figure 1 , the technical solutions in the embodiments of the present application are described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.
[0017] Example
[0018] The present embodiment provides a modular lake demand simulation system, including a processor and a functional module group controlled by the processor. It is understandable that the processor is used to control all modules in the system, so the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The processor is the control center of the simulation system, and various interfaces and lines are used to connect the various parts of the entire simulation system.
[0019] The functional module group data is connected to the verification module group. The functional module group is configured with at least a hydrodynamic module, a water age module, a water temperature module, a water quality module, a chlorophyll module and a habitat module. The verification module group includes at least a hydrodynamic verification module, a water age verification module, a water temperature verification module, a water quality verification module, a chlorophyll verification module and a habitat verification module. The verification module group receives data information from the functional module group to perform data verification. It should be noted that the cooperation between the functional module group and the verification module group of the present application can realize accurate simulation of the ecological environment of lakes and reservoirs, and at the same time can realize more adaptive simulation for different types of lakes and reservoirs, thereby improving the adaptability of lake and reservoir simulation.
[0020] In some embodiments, the hydrodynamic module includes at least a computing unit for water information processing, wherein at least a first computing model is configured in the computing unit, wherein at least a transformation model, a momentum model, a continuity model, and a density model are configured in the first computing model, wherein the transformation model, the momentum model, the continuity model, and the density model perform chain calculations. The horizontal direction of the first computing model adopts a Cartesian coordinate system or an orthogonal curve coordinate system, and the vertical direction adopts a σ coordinate system, wherein the transformation between the σ coordinate system and the rectangular coordinate system corresponds to the aforementioned transformation model, momentum model, and continuity model.
[0021] Further,
[0022] The conversion model is:
[0023]
[0024] The momentum model is:
[0025]
[0026]
[0027]
[0028] The continuity model is:
[0029]
[0030]
[0031] The density model is:
[0032] ρ=ρ(p,s,T)
[0033] ρ=(p,S,T,C)
[0034]
[0035] P=m y Hu Q=m x Hv
[0036] Q=m x Hv
[0037] Wherein, in the above formula, z is the σ coordinate (dimensionless); z * is the vertical rectangular coordinate relative to the reference height; h and ζ are the water depth below the reference height and the water surface elevation relative to the reference height, respectively; H is the total water depth; (x, y) is the horizontal curve-orthogonal coordinate; (u, v) is the horizontal velocity component in the (x, y) direction, m / s; m x , m y is the coordinate transformation coefficient; P is the additional hydrostatic pressure under the reference density ρ0; b is the buoyancy; f is the Coriolis force; U and V are the concentration average velocity components in the (x, y) direction; P and Q are the mass flux components in the (x, y) direction; the same symbols appearing in the following represent the same.
[0038] In some embodiments, the water age module is configured with at least a water age concentration distribution spectrum model. It should be noted that the water age calculation process used in recent years incorporates the advection, diffusion, source and sink of substances, and its related models are:
[0039]
[0040] Among them, p and d are the generation and elimination rates of pollutants, respectively. is the water flow velocity, K is the diffusion coefficient, and the last term on the right in the model represents the water age of the substance.
[0041] In other possible implementations of the above model, the items can be defined. In this implementation, the specific definition of water age is the time taken for the tracer to reach the specified location after leaving the area where the water age is defined as 0. In research, the water age at the water body entrance or upstream boundary is usually defined as 0. The larger the water age, the weaker the exchange capacity of the location with the external water body.
[0042] In some embodiments, the water temperature module is configured with at least a temperature and heat transfer model, a surface heat exchange rate model, a light intensity model, and a sediment bed and water column bottom heat exchange rate model, and the temperature and heat transfer model, the surface heat exchange rate model, the light intensity model, and the sediment bed and water column bottom heat exchange rate model perform chain calculations. It should be noted that,
[0043] The temperature and heat transfer model is:
[0044]
[0045] The surface heat exchange rate model is:
[0046] H aw =-K aw (T s -T e )
[0047] Where T is temperature; I is the solar shortwave radiation intensity; w is the vertical velocity component; S T is the source and sink term of heat exchange; H aw is the surface heat exchange rate; K aw is the surface heat exchange coefficient; T S is the water surface temperature; T e For equilibrium temperature.
[0048] The light intensity model is:
[0049]
[0050] Among them, K e is the extinction coefficient; Z * In this model, it refers specifically to the depth below the water surface.
[0051] The heat exchange rate model between the sediment bed and the bottom of the water column is:
[0052] H b =-(K b,v U+K b,c )(T w -T b )
[0053]
[0054] Among them, H bis the heat exchange rate of the sediment bed water column; K b,v , K b,c are the convective heat transfer coefficient and the
[0055] Thermal conductivity; T w is the bottom water temperature; T b is the sediment bed temperature; u1, v1 are the velocity components of the bottom water flow in the (x, y) direction.
[0056] In some embodiments, a convection diffusion unit and a source-sink variation unit are configured in the water quality module.
[0057] It should be noted that the mass conservation equation of the water quality variable in the water quality module is:
[0058]
[0059] Where C is the water quality variable concentration; u, v, w are the x, y, z velocity components in the horizontal-curvilinear coordinate and vertical σ coordinate respectively; A x , A y , A z are the turbulent diffusion coefficients in the x, y, and z directions, S C are internal / external source / sink terms. The last three terms on the left side of the equal sign in the above formula are convective transport terms, the first three terms on the right side are diffusion transport terms, and the last term is the source / sink term.
[0060] In some embodiments, the chlorophyll module is provided with a total phosphorus and chlorophyll a comparison unit. It is understood that the total phosphorus and chlorophyll a comparison unit performs corresponding phosphorus state comparison and chlorophyll a content comparison.
[0061] In some embodiments, a habitat suitability analysis model is configured in the habitat module. It is understandable that the habitat suitability analysis model can analyze the suitability of plant growth in lakes and reservoirs at a certain water depth, at least including the analysis of aquatic plants in lakes and reservoirs.
[0062] The above shows and describes the basic principles, main features and advantages of the present application. For those skilled in the art, it is obvious that the present application is not limited to the details of the above-mentioned exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or basic features of the present application.
[0063] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present application is limited by the appended claims rather than the above description, so it is intended to include all changes within the meaning and scope of the equivalent elements of the claims in the present application. Any reference sign in the claims should not be regarded as limiting the claims involved.
[0064] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.
Claims
1. A modular lake demand simulation system, comprising a processor, characterized in that: It also includes a functional module group controlled by the processor; the functional module group is data connected to a verification module group, the functional module group is configured with at least a hydrodynamic module, a water age module, a water temperature module, a water quality module, a chlorophyll module and a habitat module, the verification module group includes at least a hydrodynamic verification module, a water age verification module, a water temperature verification module, a water quality verification module, a chlorophyll verification module and a habitat verification module, and the verification module group receives data information from the functional module group to perform data verification.
2. The system according to claim 1, characterized in that The hydrodynamic module at least includes a computing unit for water information processing, and at least a first computing model is configured in the computing unit.
3. The system according to claim 2, characterized in that The first calculation model is configured with at least a transformation model, a momentum model, a continuity model and a density model, and the transformation model, the momentum model, the continuity model and the density model perform chain calculations.
4. The system according to claim 1, characterized in that The water age module is at least configured with a water age concentration distribution spectrum model.
5. The system according to claim 1, characterized in that The water temperature module is at least configured with a temperature and heat transfer model, a surface heat exchange rate model, a light intensity model, and a sediment bed and water column bottom heat exchange rate model, and the temperature and heat transfer model, the surface heat exchange rate model, the light intensity model, and the sediment bed and water column bottom heat exchange rate model perform chain calculations.
6. The system according to claim 1, characterized in that The water quality module is configured with a convection diffusion unit and a source-sink change unit.
7. The system according to claim 1, characterized in that The chlorophyll module is provided with a total phosphorus and chlorophyll a comparison unit.
8. The system according to claim 1, characterized in that The habitat module is provided with a habitat suitability analysis model.
Citation Information
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