CN114240196A - Lake multi-water-source regulation and control method based on hydrodynamic force-water quality-ecological model - Google Patents
Lake multi-water-source regulation and control method based on hydrodynamic force-water quality-ecological model Download PDFInfo
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Abstract
The invention provides a lake multi-water-source regulation and control method based on a hydrodynamic force-water quality-ecological model, which relates to the technical field of water source regulation and control and comprises the steps of acquiring data, clarifying a generation mechanism of space-time heterogeneity of a lake water environment, establishing a model, determining a water quality control threshold value for maintaining the ecological health of lake water and providing an optimal multi-water-source regulation and control scheme. According to the invention, through improving the BLOOM module, the phytoplankton representation is brought into the simulation of the phytoplankton competition mechanism of the lake, a hydrodynamic-water quality-ecological comprehensive model suitable for the simulation of the lake water environment is created, and the precision of the simulation of the lake water environment is improved, so that the healthy water quality control target of the lake water environment can be better and accurately determined; secondly, multiple water resources are utilized to carry out comprehensive regulation and control, the water quality of the lake is improved, meanwhile, the comprehensive utilization of regional water resources is promoted, the result of the method provides scientific and technological support for checking the water quality management of the lake, and meanwhile, the method also meets the requirement of practicing accurate management of 'one lake one strategy'.
Description
Technical Field
The invention relates to the technical field of water source regulation, in particular to a lake multi-water-source regulation and control method based on a hydrodynamic force-water quality-ecological model.
Background
The comprehensive regulation and control of multiple water sources is a key technical means for solving the problems of water resource shortage and water quality deterioration of lakes in arid and semiarid regions, how to jointly apply multiple water sources such as precipitation, irrigation district water withdrawal and diversion water regulation to maintain the ecological water quantity and water quality requirements of lakes is a key technical problem which needs to be solved urgently in the practice of ecological protection and restoration of lakes, however, a hydrodynamic-water quality-ecological comprehensive model is often ignored in a multiple water source regulation and control method for restoring and improving the lake water environment, and scientific determination of a water quality threshold and a multiple water source proportion in the lake multiple water source regulation and control is difficult to quantify, so that the simulation precision of the lake water environment indexes and the accurate regulation and control and decision of the multiple water sources are influenced.
Based on the analysis of the watershed ecological hydrological process and the determination of the protection target of the lake water quality or the water ecology, students usually use a single clean water source to recover and improve the lake water quality and the water ecology, and lack of comprehensive utilization of multiple water resources such as precipitation, irrigation area water withdrawal, diversion and flood, and the like to carry out combined regulation and control, in addition, the existing lake water power-water quality model or the water quality-ecological model in the multi-water-source regulation and control process lacks of organic combination of research objects of water power, water quality and water ecology, and most of the ecological models are often carved on the function group level and lack of carved on the characterization level, because: firstly, research on improvement and recovery of lake water quality and water ecology by introducing and adjusting water from a single water source is limited by the water source, various water resources are wasted, the water environment is difficult to recover, and the utilization efficiency of the water resources is improved; and secondly, a comprehensive simulation model of hydrodynamic force-water quality-ecological three coupling is lacked, and an ecological module is lacked in effective depiction on a biological characterization type level, so that the water quality and water ecological targets of multi-water source regulation and control are difficult to accurately determine, the effectiveness and the scientificity of multi-water source regulation and control are difficult to quantify, the existing research is insufficient to promote that the water quality and the water ecological targets of lakes are difficult to scientifically determine, the proportion of multi-water sources is difficult to scientifically determine, and lake managers are difficult to put forward an accurate multi-water source regulation and control scheme, so that a more scientific lake multi-water source regulation and control method based on the hydrodynamic force-water quality-ecological model is lacked at present.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a lake multi-water-source regulation and control method based on a hydrodynamic force-water quality-ecological model.
In order to achieve the purpose, the invention adopts the following technical scheme: a lake multi-water-source regulation and control method based on a hydrodynamic force-water quality-ecological model comprises the following steps:
s1: preparing a database of the lake water power-water quality-ecological comprehensive model, and acquiring various monitoring data required by the lake water power-water quality-ecological comprehensive model;
s2: comprehensively analyzing the evolution characteristics and rules of the lake water environment according to the monitoring data, and clarifying the occurrence mechanism of the space-time heterogeneity of the lake water environment;
s3: constructing a hydrodynamic-water quality-ecological comprehensive model suitable for lake water environment portrayal based on a lake water environment evolution mechanism;
s4: according to the lake hydrodynamic-water quality-ecological comprehensive model, research on the development and change downstream phytoplankton and water quality evolution characteristics of different irrigation areas is developed, a lake phytoplankton competition mechanism under the stress of multiple environmental factors is disclosed, and a water quality control threshold for maintaining the ecological health of lake water is determined;
s5: based on the lake water quality control threshold value, an optimal multi-water-source regulation and control scheme for maintaining the ecological health of the lake water is provided.
In order to obtain various monitoring data, the improvement of the invention is that the various monitoring data required in the step S1 include collecting hourly flow data of hydrological monitoring stations at the inlet and outlet of the lake, hourly meteorological observation data in the catchment area, digital elevation Data (DEM), monthly water quality data of the lake and plankton data, then establishing a model database, and preparing various input data by using Notepad software.
In order to clarify the occurrence mechanism of the water environment time-space heterogeneity of the lake, the improvement of the invention is that the specific step of the step S2 clarifies the evolution characteristics of water circulation elements and defines the water supply source of the lake based on long-time-sequence data of weather, hydrology, water quality and the like; dividing a water quality evolution stage of the lake, and clarifying the time-space characteristics and evolution rules of nutritional factors and non-nutritional factors in the current water quality evolution stage; evaluating the Eutrophication degree of the lake, providing a mechanism basis for the construction of a comprehensive model of lake hydrodynamic force-water quality-water ecology, utilizing a Person correlation analysis method and a Mann-Kendall mutation detection method when carrying out statistical analysis on basic data of a database, and comprehensively utilizing the Tropic State Index (TSI), the Tropic Level Index (TLI) and the Eutrophication Index (EI) indexes for calculation.
In order to establish a model, the improvement of the present invention is that the step S3 specifically includes the following steps:
a: preprocessing the hydrological meteorological water quality ecological observation data and the digital elevation data;
b: obtaining and constructing model parameters;
c: and (5) model fitting and verification.
In order to establish a model, the improvement of the invention is that in the step a, hourly flow data of hydrology at the inlet and the outlet of the lake, monthly data of water quality and plankton, hourly data of meteorological observation data in a catchment area and digital elevation data need to be collected, and the data are preprocessed.
In order to establish a model, the improvement of the invention is that, in the step b, a Delft3d platform is adopted to carry out simulation work of a lake hydrodynamic-water quality-ecological model, firstly, a gridding generating module (Delft3D-Rgfgrid) is utilized to gridde DEM data and a simulation boundary which are obtained by remote sensing and actual measurement, a land-water boundary suitable for hydrodynamic simulation is constructed, a grid suitable for operation is subdivided, secondly, an initial condition of a Flow module is set by superposing water bottom terrain and roughness by utilizing an initial value generating module (Delft3D-Quickin), an initial water bottom terrain is generated, then input parameters of the model are localized and ratified, and then, the obtained grid and the lake bottom terrain are combined by utilizing a hydrodynamic calculating module (Delft3D-Flow), and operation is carried out after specific parameters are set; the hydrodynamic Coupling module (Coupling) is utilized to couple input hydrodynamic data into a Process Library module (Process Library) and a water quality simulation module (Waq-1 and Waq-2) so as to simulate the migration of pollutants, wherein the hydrodynamic Coupling module (Coupling) mainly converts an orthogonal grid into a water quality simulation migration grid, modifies the original 1h time step into a 1 day time step, directly calls a simulation result (Communication file) simulated by hydrodynamic force, the Process Library module (Process Library) needs a reaction Process of specific simulation substances, the water quality simulation module (Waq-1 and Waq-2) starts specific simulation, the model integrates competition mechanisms among atmospheric settlement, endogenous and exogenous inputs and species, and the ecological module (BLOOM) is embedded into the water quality module, and is mainly based on 3 phytoplankton functional groups, a characterization of phytoplankton-characterized levels was added.
In order to establish a model, the improvement of the invention includes that in the step c, the lake water power module needs to be rated and verified by using water temperature, water depth and salinity, the water quality module needs to be rated and verified by using water quality parameters such as total nitrogen, total phosphorus, dissolved oxygen and chlorophyll, and the calibration effect is evaluated by using a Nash-Sutcliffe Efficiency (NSE), a standard deviation (PBIAS) and a visual interpretation method. The method comprises the steps of utilizing the biomass and the proportion of algae to carry out calibration and verification on an ecological module, utilizing Average Standard Deviation (ARD%) and a visual interpretation method to evaluate a simulation effect, and finally constructing a hydrodynamic-water quality-water ecological comprehensive model suitable for lake water environment simulation.
In order to determine a water quality control threshold for maintaining the ecological health of the lake water, the improvement of the invention is that in step S4, in order to accurately determine a water quality control target for maintaining the ecological health of the lake water, a constructed lake hydrodynamic-water quality-ecological comprehensive model is used to simulate the biomass of the floating plants under different water input situations and water quality discharge situations, and a multi-scenario simulation is performed by using low biomass and low harmful blue-green algae ratio as constraint conditions through the disclosure of a competition mechanism under the synergistic effect of multiple environmental factors.
In order to obtain an optimal multi-Water-source regulation scheme, the Improvement of the invention is that in the step S5, the determined Water Quality control targets (TN and TP concentrations) for maintaining the ecological health of the lake Water are used as constraint conditions, the Water withdrawal scenes of different hydrologic years and different Water power improving conditions are set as regulation measures, various combination scenes are designed, and the optimal multi-Water-source regulation scheme for maintaining the Water environment health of the lake is determined by using the Water Quality Improvement rate (Improvement of Water Quality) and the available Water supply amount as constraint conditions, so as to provide technical support and decision basis for the Water Quality management and ecological Water supplement of the lake.
Compared with the prior art, the invention has the advantages and positive effects that,
according to the invention, through improving the BLOOM module, the phytoplankton representation is brought into the simulation of the phytoplankton competition mechanism of the lake, a hydrodynamic-water quality-ecological comprehensive model suitable for the simulation of the lake water environment is created, and the precision of the simulation of the lake water environment is improved, so that the healthy water quality control target of the lake water environment can be better and accurately determined; secondly, multiple water resources are utilized to carry out comprehensive regulation and control, the water quality of the lake is improved, meanwhile, the comprehensive utilization of regional water resources is promoted, the result of the method provides scientific and technological support for checking the water quality management of the lake, and meanwhile, the method also meets the requirement of practicing accurate management of 'one lake one strategy'.
Drawings
FIG. 1 is a diagram of the operation steps of a lake multiple water sources regulation and control method based on a hydrodynamic force-water quality-ecological model;
FIG. 2 is a technical flow chart of a lake multi-water-source regulation and control method based on a hydrodynamic force-water quality-ecological model;
FIG. 3 is a schematic diagram of the construction mechanism of a lake hydrodynamic-water quality-ecological model of the lake multi-water-source regulation and control method based on the hydrodynamic-water quality-ecological model of the invention;
FIG. 4 is a main parameter diagram of a hydrodynamic-water quality-water ecological model of a lake multi-water-source regulation and control method based on the hydrodynamic-water quality-ecological model;
FIG. 5 is a multi-scenario simulation diagram of a lake multi-water-source regulation and control method based on a hydrodynamic-water quality-ecological model.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1-5, the present invention provides a lake multiple water sources regulation method based on hydrodynamic force-water quality-ecological model, which comprises the following steps:
s1: preparing a database of the lake water power-water quality-ecological comprehensive model, and acquiring various monitoring data required by the lake water power-water quality-ecological comprehensive model;
s2: comprehensively analyzing the evolution characteristics and rules of the lake water environment according to the monitoring data, and clarifying the occurrence mechanism of the space-time heterogeneity of the lake water environment;
s3: constructing a hydrodynamic-water quality-ecological comprehensive model suitable for lake water environment portrayal based on a lake water environment evolution mechanism;
s4: according to the lake hydrodynamic-water quality-ecological comprehensive model, research on the development and change downstream phytoplankton and water quality evolution characteristics of different irrigation areas is developed, a lake phytoplankton competition mechanism under the stress of multiple environmental factors is disclosed, and a water quality control threshold for maintaining the ecological health of lake water is determined;
s5: based on the lake water quality control threshold value, an optimal multi-water-source regulation and control scheme for maintaining the ecological health of the lake water is provided.
The various monitoring data required in the step S1 comprise hourly flow data of hydrological monitoring stations at the inlet and outlet of the lake, hourly meteorological observation data in a catchment area, digital elevation Data (DEM), monthly water quality data of the lake and plankton data, a model database is established, and various input data are prepared by using Notepad software.
Step S2 is to clarify the evolution characteristics of water circulation factors and make up water source of lake based on long time sequence data such as weather, hydrology, water quality, etc.; dividing a water quality evolution stage of the lake, and clarifying the time-space characteristics and evolution rules of nutritional factors and non-nutritional factors in the current water quality evolution stage; evaluating the Eutrophication degree of the lake, providing a mechanism basis for the construction of a comprehensive model of lake hydrodynamic force-water quality-water ecology, utilizing a Person correlation analysis method and a Mann-Kendall mutation detection method when carrying out statistical analysis on basic data of a database, and comprehensively utilizing the Tropic State Index (TSI), the Tropic Level Index (TLI) and the Eutrophication Index (EI) indexes for calculation.
Step S3 specifically includes the following steps:
a: preprocessing hydrological meteorological water quality ecological observation data and digital elevation data, wherein hourly flow data of hydrology, monthly water quality and plankton data of a lake inlet and a lake outlet, hourly data of meteorological observation data in a catchment area and digital elevation data need to be collected, and preprocessing the data;
b: obtaining and constructing model parameters, namely carrying out simulation work of a lake hydrodynamic-water quality-ecological model by adopting a Delft3d platform, firstly gridding DEM data and a simulation boundary obtained by remote sensing and actual measurement by utilizing a grid generating module (Delft3D-Rgfgrid), constructing a land-water boundary suitable for hydrodynamic simulation, subdividing the grid suitable for operation, secondly, superposing water bottom terrain and roughness by utilizing an initial value generating module (Delft3D-Quickin) to set initial conditions of a Flow module, generating initial water bottom terrain, then carrying out localization and rate determination on input parameters of the model, wherein main parameters are shown in an attached drawing of a specification, and then combining the obtained grid with the lake bottom terrain by utilizing a hydrodynamic calculating module (Delft3D-Flow), and carrying out operation after setting specific parameters; the hydrodynamic Coupling module (Coupling) is utilized to couple input hydrodynamic data into a Process Library module (Process Library) and a water quality simulation module (Waq-1 and Waq-2) so as to simulate the migration of pollutants, wherein the hydrodynamic Coupling module (Coupling) mainly converts an orthogonal grid into a water quality simulation migration grid, modifies the original 1h time step into a 1 day time step, directly calls a simulation result (Communication file) simulated by hydrodynamic force, the Process Library module (Process Library) needs a reaction Process of specific simulation substances, the water quality simulation module (Waq-1 and Waq-2) starts specific simulation, the model integrates competition mechanisms among atmospheric settlement, endogenous and exogenous inputs and species, and the ecological module (BLOOM) is embedded into the water quality module, and is mainly based on 3 phytoplankton functional groups, adding phytoplankton representation type level pictures, and summarizing a lake water power-water quality-ecological model construction mechanism schematic diagram shown in the attached drawing of the specification;
the mechanism formula and the internal parameters of the state module (BLOOM) reflect the mechanism and process for the model as follows:
a: material dynamic equilibrium equation:
wherein i is a functional group of 1-6 algae
Wherein X represents carbon, nitrogen, phosphorus element
B: algae characterization, growth and competition equations:
kmin，i≤kd≤kmax，ienergy limitation (14)
And (3) competition process:
mrti＝mi*Phyi (16)
mi＝mi，0*(ktm，i)t (17)
kd＝kb+kSPM+kPOM+kPhy+kHUMlight digestion process (18)
nit＝knit*NH4*fT，nitNitration process (19)
den＝kden*NO3*fT，denDenitrification process (20)
In the formula: phyiIs of the type of phytoplankton,
and
is the quality of the nutrient salt used for the simulation,
for the amount of change in the migration process,
the amount of change in the physical, chemical and biological processes,
the substance is the changing amount of the contamination source. gro refers to net phytoplankton growth, mrt to phytoplankton mortality, MiIs the mortality of type i algae, ktmiTemperature coefficient, k, of mortality of type i algaedIs the total extinction coefficient, kbFor background extinction, kSPMMeans the disappearance of inorganic suspended matter, kPOMIs the extinction of organic matter of dead particles, kPhyIs completely eliminated due to phytoplankton, is eliminated due to humus input by fresh water, nit nitrification, den denitrification, knitAnd kdenRespectively nitrification and denitrification rates, fT，nit、fT，denRespectively, as a function of the temperature of the nitrification-denitrification process, sed is the sedimentation, v is the sedimentation velocity, X is the carbon, nitrogen, phosphorus and silicate elements, POX is the particulate organic elements carbon, nitrogen, phosphorus and silicate, grz is being ingested by filter feeders, up is the absorption rate of the organic matter by the animal, S is the specific absorption rate of the organic matter by the animalN,iIs a stoichiometric characteristic of the nutrient N in type i phytoplankton, SP,iIs the stoichiometric characteristic of the nutrient substance P in the i-type phytoplankton.
The internal forming mechanism of the lake BLOOM module comprises a substance balance principle of nutrient salt input, comprises different algae functional groups and characterizations of the lake, calculates the growth and competition processes of algae, and couples the algae growth process, the death process, the sedimentation process, the nitrification and denitrification process, the light digestion process, the sediment resuspension process and the food chain feeding process;
c: model fitting and verification, namely, the water temperature, the water depth and the salinity are utilized to calibrate and verify the lake water power module, the water quality parameters such as total nitrogen, total phosphorus, dissolved oxygen and chlorophyll are utilized to calibrate and verify the water quality module, and the calibration effect is evaluated by using a Nash-Sutcliffe Efficiency (NSE), a standard deviation (PBIAS) and a visual interpretation method. The ecological module was rated and validated using algal biomass and proportion, and the simulated effect was evaluated using Average Standard Deviation (ARD%) and visual interpretation. And finally constructing a hydrodynamic-water quality-water ecology comprehensive model suitable for lake water environment simulation.
In step S4, in order to accurately determine a water quality control target for maintaining the ecological health of lake water, simulating the biomass of floating plants under different water input situations and water discharge situations by using a constructed lake hydrodynamic-water quality-ecological comprehensive model, carrying out multi-scenario simulation by disclosing a competition mechanism under the synergistic action of multiple environmental factors and taking low biomass and low harmful blue-green algae ratio as constraint conditions, and designing 10 situations, wherein III and IV represent surface water classification standards; "observed value" means the average observed value of TN, TP and TSS concentrations; "inversion value" represents the inversion value of TSS concentration to evaluate the influence of nitrogen-phosphorus ratio (N: P), Total Nitrogen (TN), Total Phosphorus (TP) and total suspended particles (TSS) on phytoplankton biomass and proportion, describing the phytoplankton growth restriction and dynamic competition in the dry lake, in 10 scenes (Table 2), N: P is set to 5, 10, 15, 20 or 30 respectively to simulate the phytoplankton variation in clear water and turbid water, the nutrient salt (TN and TP) concentration and TSS are obtained according to the Chinese surface water environment quality III and IV standard (GB 3838-, the determination of clear and turbid water bodies is determined according to the observed values and the correlation between the TSS and the SD.
In step S5, the determined Water Quality control targets (TN and TP concentrations) for maintaining the ecological health of lake Water are used as constraint conditions, different hydrologic years, different Water discharge situations of irrigation areas and different hydrodynamic force improving conditions are set as regulation measures, various combination situations are designed, an optimal multi-Water-source regulation and control scheme for maintaining the Water environment health of lake is determined by using the Water Quality Improvement rate (Improvement of Water Quality) and the available Water supply amount as constraint conditions, and technical support and decision basis is provided for lake Water Quality management and ecological Water supplement.
According to the invention, through improving the BLOOM module, the phytoplankton representation is brought into the simulation of the phytoplankton competition mechanism of the lake, a hydrodynamic-water quality-ecological comprehensive model suitable for the simulation of the lake water environment is created, and the precision of the simulation of the lake water environment is improved, so that the healthy water quality control target of the lake water environment can be better and accurately determined; secondly, multiple water resources are utilized to carry out comprehensive regulation and control, the water quality of the lake is improved, meanwhile, the comprehensive utilization of regional water resources is promoted, the result of the method provides scientific and technological support for checking the water quality management of the lake, and meanwhile, the method also meets the requirement of practicing accurate management of 'one lake one strategy'.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes by using the technical contents disclosed in the above description to other fields, but any simple modification, equivalent change and change made to the above embodiments according to the technical essence of the present invention still belong to the protection scope of the technical solution of the present invention.
Claims (9)
1. A lake multi-water-source regulation and control method based on a hydrodynamic force-water quality-ecological model is characterized by comprising the following steps: the lake multi-water-source regulation and control method based on the hydrodynamic force-water quality-ecological model comprises the following steps:
s1: preparing a database of the lake water power-water quality-ecological comprehensive model, and acquiring various monitoring data required by the lake water power-water quality-ecological comprehensive model;
s2: comprehensively analyzing the evolution characteristics and rules of the lake water environment according to the monitoring data, and clarifying the occurrence mechanism of the space-time heterogeneity of the lake water environment;
s3: constructing a hydrodynamic-water quality-ecological comprehensive model suitable for lake water environment portrayal based on a lake water environment evolution mechanism;
s4: according to the lake hydrodynamic-water quality-ecological comprehensive model, research on the development and change downstream phytoplankton and water quality evolution characteristics of different irrigation areas is developed, a lake phytoplankton competition mechanism under the stress of multiple environmental factors is disclosed, and a water quality control threshold for maintaining the ecological health of lake water is determined;
s5: based on the lake water quality control threshold value, an optimal multi-water-source regulation and control scheme for maintaining the ecological health of the lake water is provided.
2. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 1, characterized in that: the various monitoring data required in the step S1 include hourly flow data of hydrological monitoring stations at the inlet and outlet of the lake, hourly meteorological observation data in the catchment area, digital elevation Data (DEM), monthly water quality data of the lake and plankton data, and then a model database is established, and various input data are prepared by using the Notepad software.
3. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 1, characterized in that: the specific step of the step S2 is that the evolution characteristics of water circulation elements are clarified based on long-time-sequence data such as weather, hydrology, water quality and the like, and the water supply source of the lake is determined; dividing a water quality evolution stage of the lake, and clarifying the time-space characteristics and evolution rules of nutritional factors and non-nutritional factors in the current water quality evolution stage; evaluating the Eutrophication degree of the lake, providing a mechanism basis for the construction of a comprehensive model of lake hydrodynamic force-water quality-water ecology, utilizing a Person correlation analysis method and a Mann-Kendall mutation detection method when carrying out statistical analysis on basic data of a database, and comprehensively utilizing the Tropic State Index (TSI), the Tropic Level Index (TLI) and the Eutrophication Index (EI) indexes for calculation.
4. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 1, characterized in that: the step S3 specifically includes the following steps:
a: preprocessing the hydrological meteorological water quality ecological observation data and the digital elevation data;
b: obtaining and constructing model parameters;
c: and (5) model fitting and verification.
5. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 4, characterized in that: in the step a, hourly flow data of hydrology at the inlet and the outlet of the lake, monthly water quality and plankton data, hourly data of meteorological observation data in a catchment area and digital elevation data need to be collected, and the data are preprocessed.
6. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 4, characterized in that: in the step b, a Delft3d platform is adopted to carry out simulation work of a lake hydrodynamic-water quality-ecological model, firstly, a grid generating module (Delft3D-Rgfgrid) is utilized to grid DEM data and simulation boundaries obtained by remote sensing and actual measurement, a land-water boundary suitable for hydrodynamic simulation is constructed, a grid suitable for running is divided, secondly, an initial numerical value generating module (Delft3D-Quickin) is utilized to superpose water bottom topography and roughness to set initial conditions of a Flow module, initial topography is generated, then input parameters of the model are localized and calibrated, then, a hydrodynamic calculating module (Delft3D-Flow) is utilized to combine the obtained grid with the lake bottom topography, and operation is carried out after specific parameters are set; the hydrodynamic Coupling module (Coupling) is utilized to couple input hydrodynamic data into a Process Library module (Process Library) and a water quality simulation module (Waq-1 and Waq-2) so as to simulate the migration of pollutants, wherein the hydrodynamic Coupling module (Coupling) mainly converts an orthogonal grid into a water quality simulation migration grid, modifies the original 1h time step into a 1 day time step, directly calls a simulation result (Communication file) simulated by hydrodynamic force, the Process Library module (Process Library) needs a reaction Process of specific simulation substances, the water quality simulation module (Waq-1 and Waq-2) starts specific simulation, the model integrates competition mechanisms among atmospheric settlement, endogenous and exogenous inputs and species, and the ecological module (BLOOM) is embedded into the water quality module, and is mainly based on 3 phytoplankton functional groups, a characterization of phytoplankton-characterized levels was added.
7. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 4, characterized in that: in the step c, the water temperature, the water depth and the salinity are used for rating and verifying the lake water power module, water quality parameters such as total nitrogen, total phosphorus, dissolved oxygen and chlorophyll are used for rating and verifying the water quality module, a Nash-Sutcliffe Efficiency (NSE), a Standard Deviation tolerance bias (PBIAS) and a visual interpretation method are used for evaluating the calibration effect, an algae biomass and a proportion are used for rating and verifying the ecological module, a mean Standard Deviation (ARD) and a visual interpretation method are used for evaluating the simulation effect, and finally, a hydrodynamic-water quality-water state comprehensive model suitable for simulating the lake water environment is constructed.
8. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 1, characterized in that: in the step S4, in order to accurately determine a water quality control target for maintaining ecological health of lake water, a constructed lake hydrodynamic-water quality-ecological comprehensive model is used to simulate biomass of phytoplankton under different water input situations and water quality discharge situations, and a multi-scenario simulation is performed by revealing a competition mechanism under the synergistic effect of multi-environmental factors and using low biomass and low harmful blue-green algae ratio as constraint conditions.
9. The lake multiple water sources regulation and control method based on hydrodynamic force-water quality-ecological model as claimed in claim 1, characterized in that: in the step S5, the determined Water Quality control targets (TN and TP concentrations) for maintaining the ecological health of the lake Water are used as constraint conditions, different hydrologic years, different Water discharge situations of irrigation areas and different hydrodynamic force improving conditions are set as regulation measures, various combination situations are designed, and an optimal multi-Water-source regulation and control scheme for maintaining the Water environment health of the lake is determined by using the Water Quality Improvement rate (Improvement of Water Quality) and the available Water supply amount as constraint conditions, so as to provide technical support and decision basis for the Water Quality management and ecological Water supplement of the lake.
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