CN112214942B - Multi-step nesting-based instant linkage simulation method for reservoir and river - Google Patents
Multi-step nesting-based instant linkage simulation method for reservoir and river Download PDFInfo
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Abstract
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir river channel, which comprises the following steps of: constructing a multi-step coupling nested series model of reservoir water and river water according to the target historical information; analyzing the correlation of reservoir group regulation and control capacity and downstream river flood passing capacity, flat flow and river mouth water level related characterization indexes according to target historical information to determine a reservoir application mode; performing dynamic calculation on the reservoir water and the river water based on the constructed multi-step coupling nested series model of the reservoir water and the river water; judging the erosion and deposition state of the river channel according to the flow and erosion and deposition results of the flat beach of the downstream river channel, and adjusting the application mode of the reservoir by combining the water and sand conditions; and (3) calculating and outputting the dynamic results of the reservoir water and the river water at the next moment based on the adjusted reservoir application mode and the constructed multi-step coupling nested series model of the reservoir water and the river water, and repeatedly executing the steps 3-5 based on the timestamp. And the integrated instant linkage simulation of reservoir group scheduling and river water and sand evolution is convenient to realize.
Description
Technical Field
The invention relates to the technical field of design of sediment of a sediment-bearing river reservoir project, in particular to a multi-step nesting-based instant linkage simulation method for a reservoir river channel.
Background
Reservoir group regulation and control and downstream river channel erosion and deposition evolution are complex processes of mutual feedback influence, currently applied water and sand mathematical models of reservoirs, river channels and river mouths are single models, reservoir water and sand regulation and control cannot consider flood-passing and sand-conveying capacity and requirements of downstream river channels and river mouths in real time, mutual feedback relation between reservoir regulation and river channel flood-passing and sand-conveying cannot be systematically reflected, the application mode of the reservoirs cannot be timely adjusted according to the erosion and deposition states of the river channels, and comprehensive utilization benefits of the reservoirs cannot be fully played. Therefore, breakthrough is urgently needed in the aspect of instant linkage simulation of the reservoir group and the river channel water and sand.
Therefore, the invention provides a series connection method for researching reservoir group regulation and control, reservoir areas, riverways and riverway mouth water-sand dynamic models aiming at a yellow river midstream reservoir group, a downstream riverway and a riverway mouth, constructs a multi-step nested coupling model of the reservoir group and the riverway, and realizes the integrated instant linkage simulation of reservoir group scheduling and riverway water-sand evolution.
Disclosure of Invention
The invention provides a multi-step nesting-based reservoir and river channel instant linkage simulation method, which is convenient for realizing the integrated instant linkage simulation of reservoir group scheduling and river channel water and sand evolution by constructing a multi-step nesting coupling model of a reservoir group and a river channel.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir river channel, which comprises the following steps of:
step 1: constructing a multi-step coupling nested series model of reservoir water and river water according to the target historical information;
step 2: analyzing the correlation between the reservoir group regulation and control capacity and the downstream river channel flood passing capacity, the beach flow and the correlation characterization indexes of the river mouth water level according to the target historical information to determine the reservoir application mode;
and step 3: performing dynamic calculation on the reservoir water and the river water based on the constructed multi-step coupling nested series model of the reservoir water and the river water;
and 4, step 4: judging the erosion and deposition state of the river channel according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, and adjusting the application mode of the reservoir by combining the water and sand conditions;
and 5: and (3) calculating and outputting the dynamic results of the reservoir water and the river water at the next moment based on the adjusted reservoir application mode and the constructed multi-step coupling nested series model of the reservoir water and the river water, and repeatedly executing the steps 3-5 based on the timestamp.
In one possible implementation manner, the constructing of the multi-step coupling nested series model of the reservoir water and the river water according to the target historical information comprises the following steps:
constructing a reservoir water dynamics model according to the target historical information;
constructing a river hydrodynamic model according to the target historical information;
analyzing the correlation between the reservoir group regulation and control capacity and the characterization indexes related to the flood passing capacity, the flow of the flat beach and the river mouth water level of the downstream river based on the calling module according to the conditions of reservoir silt flushing, river channel silt flushing and incoming water and sand coming, and determining the regulation and control indexes of the target reservoir and the target river;
meanwhile, the erosion and deposition results of the target reservoir and the target river channel are extracted from the target historical information and are used as boundary conditions;
and constructing a multi-step coupling nested series model of the reservoir water and the riverway water according to the regulation and control indexes, the boundary regulation and the constructed reservoir water dynamics model and the constructed riverway water dynamics model.
In a possible implementation manner, judging the river channel erosion and deposition state according to the downstream river channel flat beach flow and erosion and deposition result, and adjusting the application manner of the reservoir by combining with the water and sand conditions comprises:
acquiring influence information on a river channel in the process of discharging water and sand from a reservoir group;
judging the erosion and deposition state of the river channel according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, and when the river channel is in the corresponding erosion and deposition state, regulating and controlling demand information of the river channel on a reservoir group;
determining a silt flushing mutual feed factor of the reservoir group and the river channel from a regulation database according to the influence information and the regulation demand information;
and adjusting the application mode of the reservoir according to the erosion-silt mutual feed factor and the water-sand condition.
In a possible implementation manner, before constructing the multi-step coupling nested series model of reservoir water and channel water according to the target historical information, the method further includes:
calling historical reservoir river channel information before the current time point from a reservoir river channel database;
time point splitting is carried out on the historical reservoir and river channel information, and meanwhile, a one-to-one corresponding relation between the corresponding reservoir information and the corresponding river channel information is established according to the time points;
meanwhile, determining a first influence factor of the reservoir information on the river information at the time point;
determining a second influence factor of the river information on the reservoir information at the time point;
and pre-adjusting the historical reservoir river channel information according to the first influence factor and the second influence factor to obtain target historical information.
In a possible implementation manner, the step of constructing the multi-step coupling nested series model of the reservoir water and the river water according to the target historical information comprises the following steps:
time point splitting is carried out on the target historical information, reservoir water information and river water information at different time points are obtained, meanwhile, region division is carried out on a reservoir corresponding to the reservoir water information, and basin division is carried out on a river channel corresponding to the river water information;
checking regional information of a preset regional check point in the reservoir;
checking the watershed information of a preset watershed check point in the river channel;
estimating first comprehensive influence parameters at different time points based on a reservoir estimation model according to the region information, and estimating second comprehensive influence parameters at different time points based on a river channel estimation model according to the river channel information;
according to the first comprehensive influence parameter, optimizing the split reservoir water information at the corresponding time point to obtain optimized reservoir water information;
according to the second comprehensive influence parameter, optimizing the split river water information at the corresponding time point to obtain optimized river water information;
calculating output confluence values and input confluence values of the reservoir at different time points according to the reservoir water information, and calculating output confluence values and input confluence values of the riverway at different time points according to the reservoir water information;
and constructing a multi-step coupling nested series model of the reservoir water and the riverway water according to the optimized reservoir water information, the optimized riverway water information, the output confluence value and the input confluence value of the reservoir and the output confluence value and the input confluence value of the riverway.
In a possible implementation manner, the step of analyzing the correlation between the reservoir group regulation and control capacity and the characterization indexes related to the flood passing capacity, the flat flow and the estuary water level of the downstream river according to the target historical information to determine the reservoir operation manner includes:
acquiring reservoir water information and river water information at the same time point according to the target historical information;
calculating a regulation value Z1 of the reservoir group according to the reservoir water information and the following formula;
wherein m represents the total index number of the regulation and control indexes of the reservoir water information; diExpressing the regulation degree value of the ith regulation index on the water demand of the reservoir; diRepresenting the influence degree value of the ith regulation and control index on the water shortage of the reservoir; deltaiThe regulation weight value of the ith regulation index based on the reservoir is shown; d represents the average influence degree value of the m regulation and control indexes on the water shortage of the reservoir; max { } denotes the maximum function value; min { } represents the minimum function value;
calculating a correlation value X of the related characterization indexes of the regulation value Z1, the downstream river channel flood capacity A1, the flat beach flow A2 and the river mouth water level A3 according to the following formula;
wherein F (-) represents a correlation function;
calling a relevant application mode to be verified from a reservoir application database according to the correlation value;
applying the application mode to be verified to the corresponding reservoir, performing reverse matching on the application mode and the reservoir, and judging whether the application mode to be verified is reasonable or not according to an application result and a matching result;
if the operation mode is reasonable, the operation mode to be verified is judged to be a reservoir operation mode;
otherwise, the operation result and the matching result are fed back to the reservoir database, and a new operation mode is determined by combining the correlation value until the new operation mode is reasonable.
In one possible implementation, the watershed information includes: ponding information corresponding to the drainage basin check point, water flow speed corresponding to the drainage basin check point, water pollution condition corresponding to the drainage basin check point, geographical texture corresponding to the drainage basin check point, biological condition corresponding to the drainage basin check point and water quality condition corresponding to the drainage basin check point;
the region information includes: ponding information corresponding to the region check point, water flow speed corresponding to the region check point, water pollution condition corresponding to the region check point, geographic texture corresponding to the region check point, biological condition corresponding to the region check point, and water quality condition corresponding to the region check point.
In a possible implementation manner, after calculating the dynamic results of the reservoir water and the river water at the next time, the method further includes: feeding back the dynamic result to the constructed multi-step coupling nested series model of the reservoir water and the river water for optimization treatment, wherein the optimization treatment comprises the following steps:
performing cluster analysis on the dynamic result, calibrating a first position label and a second position label for each class of data according to the cluster analysis result, and establishing an association relation between the first position label and the second position label;
meanwhile, a confidence entry related to the second position label is extracted from a confidence database, the confidence entry is endowed to a storage region of corresponding clustering data, and the confidence of the corresponding clustering data is determined according to the confidence entry and the safety of the corresponding storage region;
according to the incidence relation and the first position label, positioning position layers of the reservoir water and the river water multi-step coupling nested series model, and transmitting corresponding clustering data to the corresponding position layers;
meanwhile, according to the confidence coefficient of each type of data, fusion optimization processing with different degrees with the corresponding previous type of data is carried out on the corresponding position layer;
according to the fusion optimization processing result, the optimization of the multi-step coupling nested series model of the reservoir water and the river water is realized;
wherein the first position label is related to the reservoir water and riverway water multi-step coupling nested series model;
the second location tag is associated with a data classification of the clustered data.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of a multi-step nesting-based reservoir and river channel instant linkage simulation method provided in an embodiment of the present invention;
FIG. 2 is an overall framework diagram of a multi-step coupling model of a reservoir group and a river channel in the embodiment of the invention;
FIG. 3 is a diagram illustrating a manner of reservoir group regulation and channel silt flushing and mutual feeding in an embodiment of the present invention;
FIG. 4 is a space-time docking diagram of reservoir groups and river models in an embodiment of the invention;
fig. 5 is a structural diagram of a multi-step coupling nesting mode in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir and river channel, which comprises the following steps of:
step 1: constructing a multi-step coupling nested series model of reservoir water and river water according to the target historical information;
step 2: analyzing the correlation between the reservoir group regulation and control capacity and the downstream river channel flood passing capacity, the beach flow and the correlation characterization indexes of the river mouth water level according to the target historical information to determine the reservoir application mode;
and step 3: performing dynamic calculation on the reservoir water and the river water based on the constructed multi-step coupling nested series model of the reservoir water and the river water;
and 4, step 4: judging the erosion and deposition state of the river channel according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, and adjusting the application mode of the reservoir by combining the water and sand conditions;
and 5: and (3) calculating and outputting the dynamic results of the reservoir water and the river water at the next moment based on the adjusted reservoir application mode and the constructed multi-step coupling nested series model of the reservoir water and the river water, and repeatedly executing the steps 3-5 based on the timestamp.
In this embodiment, in the process of constructing the multi-step coupling nested series model of reservoir water and channel water, for example, a main flow ancient saggy, three gorges and small wave bottom mainly included in a downstream reservoir in a yellow river, and a channel including a downstream channel of the yellow river and a estuary river section are taken as examples, as shown in fig. 2, the correlation between reservoir group regulation and characterization indexes such as downstream channel flood capacity, beach flow, estuary water level and the like can be analyzed based on a scheduling module according to reservoir erosion, channel erosion and incoming water and sand conditions, and the regulation indexes of the ancient saggy, three gorges and small wave bottom reservoir can be preliminarily determined to serve as boundary conditions for reservoir and channel erosion calculation.
In the embodiment, the erosion and deposition state of the river channel is judged according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, the application mode of the reservoir is adjusted in time by combining the incoming water and sand conditions, and the application modes of the ancient sages, the three gorges and the small wave bottom reservoir are adjusted in time. And carrying out hydrodynamic model calculation of the reservoir and the river channel at the next moment based on the adjusted reservoir application mode. The multi-step coupled nested mode is shown in detail in fig. 5.
The beneficial effects of the above technical scheme are: by constructing a multi-step nesting coupling model of the reservoir group and the riverway, the integrated instant linkage simulation of reservoir group scheduling and riverway water-sand evolution is facilitated.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir and river, which comprises the following steps of constructing a multi-step coupling nesting series model of reservoir water and river water according to target historical information:
constructing a reservoir water dynamics model according to the target historical information;
constructing a river hydrodynamic model according to the target historical information;
analyzing the correlation between the reservoir group regulation and control capacity and the characterization indexes related to the flood passing capacity, the flow of the flat beach and the river mouth water level of the downstream river based on the calling module according to the conditions of reservoir silt flushing, river channel silt flushing and incoming water and sand coming, and determining the regulation and control indexes of the target reservoir and the target river;
meanwhile, the erosion and deposition results of the target reservoir and the target river channel are extracted from the target historical information and are used as boundary conditions;
and constructing a multi-step coupling nested series model of the reservoir water and the riverway water according to the regulation and control indexes, the boundary regulation and the constructed reservoir water dynamics model and the constructed riverway water dynamics model.
The beneficial effects of the above technical scheme are: and providing a foundation for constructing a multi-step coupling nested series model of reservoir water and riverway water through regulating and controlling indexes, boundary regulation and the constructed reservoir water dynamics model and riverway water dynamics model.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir and a river channel, which judges the flushing and silting states of the river channel according to the results of the flow rate and the flushing and silting amount of a downstream river channel, and adjusts the application mode of the reservoir by combining with water and sand conditions, and comprises the following steps:
acquiring influence information on a river channel in the process of discharging water and sand from a reservoir group;
judging the erosion and deposition state of the river channel according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, and when the river channel is in the corresponding erosion and deposition state, regulating and controlling demand information of the river channel on a reservoir group;
determining a silt flushing mutual feed factor of the reservoir group and the river channel from a regulation database according to the influence information and the regulation demand information;
and adjusting the application mode of the reservoir according to the erosion-silt mutual feed factor and the water-sand condition.
In the embodiment, the process of discharging water and sand from the reservoir group directly influences the erosion and deposition of the downstream river channel and the change of the flow capacity, and the erosion and deposition state of the downstream river channel provides the regulation and control demand for the reservoir group. And considering the requirements of accurate control and instant linkage, the water and sand regulation and control of the reservoir group and the erosion and deposition of the river channel are mutually fed back day by day, and the regulation and control mode of the reservoir group is timely adjusted according to the erosion and deposition state of the river channel. Considering that in the actual scheduling process, the river section is measured every year or half a year, and the day-to-day erosion and deposition conditions of the river cannot be acquired, the river erosion and deposition state is judged every year, and the application mode of the next year is selected. Therefore, the river channel erosion and deposition state is judged once every year, and the next year of application mode, water and sand control and river channel mutual feed mode are selected and shown in figure 3.
The reservoir group and the river channel model are also in space-time butt joint and water flow evolution process butt joint (water and sand are spread from a gantry to a gate, from the gate to a three-gate gorge, from the three-gate gorge to a small wave bottom and from the small wave bottom to a garden opening and are in butt joint according to 1 day consideration). And further develop reservoir and river hydrodynamic calculations. Reservoir groups and river models are in space-time butt joint as shown in figure 4.
The beneficial effects of the above technical scheme are: by adjusting the application mode of the reservoir, accurate control and instant linkage are facilitated.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir and river, which comprises the following steps of before constructing a multi-step coupling nesting series model of reservoir water and river water according to target historical information:
calling historical reservoir river channel information before the current time point from a reservoir river channel database;
time point splitting is carried out on the historical reservoir and river channel information, and meanwhile, a one-to-one corresponding relation between the corresponding reservoir information and the corresponding river channel information is established according to the time points;
meanwhile, determining a first influence factor of the reservoir information on the river information at the time point;
determining a second influence factor of the river information on the reservoir information at the time point;
and pre-adjusting the historical reservoir river channel information according to the first influence factor and the second influence factor to obtain target historical information.
In this embodiment, the time points may be obtained by splitting according to days, months, years, and the like.
In this embodiment, the first and second influence factors are related to parameters such as flow rate and sluicing amount.
The beneficial effects of the above technical scheme are: by splitting the time point, more accurate data can be conveniently acquired, and by determining the first influence factor and the second influence factor, pre-adjustment processing is conveniently performed, so that the acquired target historical information is more accurate and has pertinence.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir and river, which comprises the following steps of constructing a multi-step coupling nesting series model of reservoir water and river water according to target historical information:
time point splitting is carried out on the target historical information, reservoir water information and river water information at different time points are obtained, meanwhile, region division is carried out on a reservoir corresponding to the reservoir water information, and basin division is carried out on a river channel corresponding to the river water information;
checking regional information of a preset regional check point in the reservoir;
checking the watershed information of a preset watershed check point in the river channel;
estimating first comprehensive influence parameters at different time points based on a reservoir estimation model according to the region information, and estimating second comprehensive influence parameters at different time points based on a river channel estimation model according to the river channel information;
according to the first comprehensive influence parameter, optimizing the split reservoir water information at the corresponding time point to obtain optimized reservoir water information;
according to the second comprehensive influence parameter, optimizing the split river water information at the corresponding time point to obtain optimized river water information;
calculating output confluence values and input confluence values of the reservoir at different time points according to the reservoir water information, and calculating output confluence values and input confluence values of the riverway at different time points according to the reservoir water information;
and constructing a multi-step coupling nested series model of the reservoir water and the riverway water according to the optimized reservoir water information, the optimized riverway water information, the output confluence value and the input confluence value of the reservoir and the output confluence value and the input confluence value of the riverway.
In this embodiment, the reservoir is divided into regions by dividing the reservoir into blocks, and the river channel is divided into watershed regions by dividing the river channel from the source to the tail in the direction.
In this embodiment, the first and second integrated influencing parameters are related to flow rate, sluicing amount, and the like.
In this embodiment, the optimization process may be a blank parameter or the like.
The beneficial effects of the above technical scheme are: the river channel and the reservoir are divided, so that fine analysis is facilitated, the first comprehensive influence parameter and the second comprehensive influence parameter are obtained, the corresponding information is optimized, the multi-step coupling nested series model of the reservoir water and the river channel water is convenient to construct through various parameters, and a foundation is provided for accurate control and instant linkage.
The invention provides a multi-step nesting-based real-time linkage simulation method for a reservoir and a riverway, which comprises the following steps of analyzing the correlation between reservoir group regulation and control capacity and downstream riverway flood passing capacity, flat flow and river mouth water level related characterization indexes according to target historical information to determine a reservoir application mode:
acquiring reservoir water information and river water information at the same time point according to the target historical information;
calculating a regulation value Z1 of the reservoir group according to the reservoir water information and the following formula;
wherein m represents the total index number of the regulation and control indexes of the reservoir water information; diExpressing the regulation degree value of the ith regulation index on the water demand of the reservoir; diRepresenting the influence degree value of the ith regulation and control index on the water shortage of the reservoir; deltaiThe regulation weight value of the ith regulation index based on the reservoir is shown; d represents the average influence degree value of the m regulation and control indexes on the water shortage of the reservoir; max { } denotes the maximum function value; min { } represents the minimum function value;
calculating a correlation value X of the related characterization indexes of the regulation value Z1, the downstream river channel flood capacity A1, the flat beach flow A2 and the river mouth water level A3 according to the following formula;
wherein F (-) represents a correlation function;
calling a relevant application mode to be verified from a reservoir application database according to the correlation value;
applying the application mode to be verified to the corresponding reservoir, performing reverse matching on the application mode and the reservoir, and judging whether the application mode to be verified is reasonable or not according to an application result and a matching result;
if the operation mode is reasonable, the operation mode to be verified is judged to be a reservoir operation mode;
otherwise, the operation result and the matching result are fed back to the reservoir database, and a new operation mode is determined by combining the correlation value until the new operation mode is reasonable.
The beneficial effects of the above technical scheme are: through the reservoir water information and the river course water information that acquire same time point, be convenient for carry out accurate calculation, through the strip control of calculating the reservoir group according to the formula, and calculate regulation and control value Z1 and downstream river course ability of crossing flood A1, flat flow A2, the relevant value X of the relevant characterization index of estuary water level A3 according to the formula, be convenient for call the application mode, through verifying the application mode, be convenient for guarantee its rationality, the accuracy of the dynamics result of reservoir water and river course water of the next moment of calculation is improved.
In one possible implementation, the watershed information includes: ponding information corresponding to the drainage basin check point, water flow speed corresponding to the drainage basin check point, water pollution condition corresponding to the drainage basin check point, geographical texture corresponding to the drainage basin check point, biological condition corresponding to the drainage basin check point and water quality condition corresponding to the drainage basin check point;
the region information includes: ponding information corresponding to the region check point, water flow speed corresponding to the region check point, water pollution condition corresponding to the region check point, geographic texture corresponding to the region check point, biological condition corresponding to the region check point, and water quality condition corresponding to the region check point.
The invention provides a multi-step nesting-based instant linkage simulation method for a reservoir and river, which comprises the following steps of after calculating the dynamic results of reservoir water and river water at the next moment: feeding back the dynamic result to the constructed multi-step coupling nested series model of the reservoir water and the river water for optimization treatment, wherein the optimization treatment comprises the following steps:
performing cluster analysis on the dynamic result, calibrating a first position label and a second position label for each class of data according to the cluster analysis result, and establishing an association relation between the first position label and the second position label;
meanwhile, a confidence entry related to the second position label is extracted from a confidence database, the confidence entry is endowed to a storage region of corresponding clustering data, and the confidence of the corresponding clustering data is determined according to the confidence entry and the safety of the corresponding storage region;
according to the incidence relation and the first position label, positioning position layers of the reservoir water and the river water multi-step coupling nested series model, and transmitting corresponding clustering data to the corresponding position layers;
meanwhile, according to the confidence coefficient of each type of data, fusion optimization processing with different degrees with the corresponding previous type of data is carried out on the corresponding position layer;
according to the fusion optimization processing result, the optimization of the multi-step coupling nested series model of the reservoir water and the river water is realized;
wherein the first position label is related to the reservoir water and riverway water multi-step coupling nested series model;
the second location tag is associated with a data classification of the clustered data.
In this embodiment, the position tag is set to accurately transmit the clustering data to the corresponding position layer, which facilitates data fusion.
In this embodiment, the storage area may be a temporary storage area, which facilitates real-time data update, prevents the storage area from occupying space all the time, and reduces subsequent calculation efficiency.
In this embodiment, the fusion process may be performed by replacing the previous data or removing the previous invalid data and fusing the previous invalid data into new data to optimize the location layer.
In this embodiment, the data classification of the cluster data is related to the river, the water flow, and the like.
The beneficial effects of the above technical scheme are: by carrying out cluster analysis on the dynamic results and according to the confidence coefficient, the processing can be conveniently carried out according to fusion optimization methods of different degrees, the processing efficiency is improved, and the model accuracy is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A multi-step nesting-based reservoir and river channel instant linkage simulation method is characterized by comprising the following steps:
step 1: constructing a multi-step coupling nested series model of reservoir water and river water according to the target historical information;
step 2: analyzing the correlation between the reservoir group regulation and control capacity and the downstream river channel flood passing capacity, the beach flow and the correlation characterization indexes of the river mouth water level according to the target historical information to determine the reservoir application mode;
and step 3: performing dynamic calculation on the reservoir water and the river water based on the constructed multi-step coupling nested series model of the reservoir water and the river water;
and 4, step 4: judging the erosion and deposition state of the river channel according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, and adjusting the application mode of the reservoir by combining the water and sand conditions;
and 5: and (3) calculating and outputting the dynamic results of the reservoir water and the river water at the next moment based on the adjusted reservoir application mode and the constructed multi-step coupling nested series model of the reservoir water and the river water, and repeatedly executing the steps 3-5 based on the timestamp.
2. The method for multi-step nesting-based instantaneous linkage simulation of the reservoir and the riverway, according to the target historical information, wherein the step-by-step coupling nesting serial model of the reservoir water and the riverway water is constructed by the following steps:
constructing a reservoir water dynamics model according to the target historical information;
constructing a river hydrodynamic model according to the target historical information;
analyzing the correlation between the reservoir group regulation and control capacity and the characterization indexes related to the flood passing capacity, the flow of the flat beach and the river mouth water level of the downstream river based on the calling module according to the conditions of reservoir silt flushing, river channel silt flushing and incoming water and sand coming, and determining the regulation and control indexes of the target reservoir and the target river;
meanwhile, the erosion and deposition results of the target reservoir and the target river channel are extracted from the target historical information and are used as boundary conditions;
and constructing a multi-step coupling nested series model of the reservoir water and the riverway water according to the regulation and control indexes, the boundary conditions and the constructed reservoir water dynamics model and the constructed riverway water dynamics model.
3. The method for multi-step nesting-based instant linkage simulation of the reservoir and the river channel as claimed in claim 1, wherein the step of judging the erosion state of the river channel according to the results of the flow rate and the erosion amount of the downstream river channel, and the step of adjusting the application mode of the reservoir according to the conditions of water and sand comprises the steps of:
acquiring influence information on a river channel in the process of discharging water and sand from a reservoir group;
judging the erosion and deposition state of the river channel according to the flow rate and the erosion and deposition result of the flat beach of the downstream river channel, and when the river channel is in the corresponding erosion and deposition state, regulating and controlling demand information of the river channel on a reservoir group;
determining a silt flushing mutual feed factor of the reservoir group and the river channel from a regulation database according to the influence information and the regulation demand information;
and adjusting the application mode of the reservoir according to the erosion-silt mutual feed factor and the water-sand condition.
4. The method for multi-step nesting-based instantaneous linkage simulation of the reservoir and the riverway, according to the target historical information, before constructing a multi-step coupling nesting series model of the reservoir water and the riverway water, the method further comprises the following steps:
calling historical reservoir river channel information before the current time point from a reservoir river channel database;
time point splitting is carried out on the historical reservoir and river channel information, and meanwhile, a one-to-one corresponding relation between the corresponding reservoir information and the corresponding river channel information is established according to the time points;
meanwhile, determining a first influence factor of the reservoir information on the river information at the time point;
determining a second influence factor of the river information on the reservoir information at the time point;
and pre-adjusting the historical reservoir river channel information according to the first influence factor and the second influence factor to obtain target historical information.
5. The multi-step nesting-based instantaneous linkage simulation method for the reservoir and river channel, according to claim 1, is characterized in that the step of constructing a multi-step coupling nesting series model of the reservoir water and the river channel water according to target historical information comprises the following steps:
time point splitting is carried out on the target historical information, reservoir water information and river water information at different time points are obtained, meanwhile, region division is carried out on a reservoir corresponding to the reservoir water information, and basin division is carried out on a river channel corresponding to the river water information;
checking regional information of a preset regional check point in the reservoir;
checking the watershed information of a preset watershed check point in the river channel;
estimating first comprehensive influence parameters at different time points based on a reservoir estimation model according to the region information, and estimating second comprehensive influence parameters at different time points based on a river channel estimation model according to the river channel information;
according to the first comprehensive influence parameter, optimizing the split reservoir water information at the corresponding time point to obtain optimized reservoir water information;
according to the second comprehensive influence parameter, optimizing the split river water information at the corresponding time point to obtain optimized river water information;
calculating output confluence values and input confluence values of the reservoir at different time points according to the reservoir water information, and calculating output confluence values and input confluence values of the riverway at different time points according to the reservoir water information;
and constructing a multi-step coupling nested series model of the reservoir water and the riverway water according to the optimized reservoir water information, the optimized riverway water information, the output confluence value and the input confluence value of the reservoir and the output confluence value and the input confluence value of the riverway.
6. The method as claimed in claim 1, wherein the step of determining the operation mode of the reservoir by analyzing the correlation between the reservoir regulation and control ability and the characterization indexes related to the flood passing ability, the flat flow and the estuary water level of the downstream river according to the target historical information comprises:
acquiring reservoir water information and river water information at the same time point according to the target historical information;
calculating a regulation value Z1 of the reservoir group according to the reservoir water information and the following formula;
wherein m represents the total index number of the regulation and control indexes of the reservoir water information; diExpressing the regulation degree value of the ith regulation index on the water demand of the reservoir; diRepresenting the influence degree value of the ith regulation and control index on the water shortage of the reservoir; deltaiThe regulation weight value of the ith regulation index based on the reservoir is shown; d represents m regulationThe average influence degree value of the indexes on the water shortage of the reservoir; max { } denotes the maximum function value; min { } represents the minimum function value;
calculating a correlation value X of the related characterization indexes of the regulation value Z1, the downstream river channel flood capacity A1, the flat beach flow A2 and the river mouth water level A3 according to the following formula;
wherein F (●) represents a correlation function;
calling a relevant application mode to be verified from a reservoir application database according to the correlation value;
applying the application mode to be verified to the corresponding reservoir, performing reverse matching on the application mode and the reservoir, and judging whether the application mode to be verified is reasonable or not according to an application result and a matching result;
if the operation mode is reasonable, the operation mode to be verified is judged to be a reservoir operation mode;
otherwise, the operation result and the matching result are fed back to the reservoir database, and a new operation mode is determined by combining the correlation value until the new operation mode is reasonable.
7. The method for multi-step nesting-based instant linkage simulation of reservoir and river channels according to claim 5,
the watershed information includes: ponding information corresponding to the drainage basin check point, water flow speed corresponding to the drainage basin check point, water pollution condition corresponding to the drainage basin check point, geographical texture corresponding to the drainage basin check point, biological condition corresponding to the drainage basin check point and water quality condition corresponding to the drainage basin check point;
the region information includes: ponding information corresponding to the region check point, water flow speed corresponding to the region check point, water pollution condition corresponding to the region check point, geographic texture corresponding to the region check point, biological condition corresponding to the region check point, and water quality condition corresponding to the region check point.
8. The method for the multi-step nesting-based instant linkage simulation of the reservoir and the riverway, according to claim 1, after calculating the dynamic results of the reservoir water and the riverway water at the next moment, the method further comprises the following steps: feeding back the dynamic result to the constructed multi-step coupling nested series model of the reservoir water and the river water for optimization treatment, wherein the optimization treatment comprises the following steps:
performing cluster analysis on the dynamic result, calibrating a first position label and a second position label for each class of data according to the cluster analysis result, and establishing an association relation between the first position label and the second position label;
meanwhile, a confidence entry related to the second position label is extracted from a confidence database, the confidence entry is endowed to a storage region of corresponding clustering data, and the confidence of the corresponding clustering data is determined according to the confidence entry and the safety of the corresponding storage region;
according to the incidence relation and the first position label, positioning position layers of the reservoir water and the river water multi-step coupling nested series model, and transmitting corresponding clustering data to the corresponding position layers;
meanwhile, according to the confidence coefficient of each type of data, fusion optimization processing with different degrees with the corresponding previous type of data is carried out on the corresponding position layer;
according to the fusion optimization processing result, the optimization of the multi-step coupling nested series model of the reservoir water and the river water is realized;
wherein the first position label is related to the reservoir water and riverway water multi-step coupling nested series model;
the second location tag is associated with a data classification of the clustered data.
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