CN115688632A - Hydropower station navigation optimization scheduling method considering boundary water supply - Google Patents
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Abstract
The invention discloses a hydropower station navigation optimal scheduling method considering boundary water supply, which comprises the following steps: forecasting the possible water inflow situation of the main and branch flow intervals according to short-term flood forecast; establishing a one-dimensional hydrodynamic model, taking the flood forecasting process of the main and branch flows as a boundary input condition, and calculating the hydraulic characteristic value of the target river reach through the one-dimensional hydrodynamic model; determining a water flow constraint condition of a target navigation river reach according to the relevant scheduling rules and the relevant shipping scheduling schemes; judging whether the power station discharge flow meets constraint conditions or not; if the constraint condition is not met, continuously optimizing the flow of the power station leaving the reservoir to enable the final target river reach water flow condition to meet the constraint condition; according to the invention, through a numerical simulation technology, a method for optimizing the flow discharged by the power station is adopted to enable the hydraulic condition of the target river reach the navigation requirement, so that the water level fluctuation can be reduced, the water flow condition can be improved, the time for stopping navigation can be reduced, the navigation duration of the river reach and the navigation rate of a river channel can be increased, and a technical support can be provided for the navigation management of the hydropower station.
Description
Technical Field
The invention relates to the field of hydraulic engineering simulation and numerical simulation, in particular to a hydropower station navigation optimization scheduling method considering boundary water inflow.
Background
At present, for river channel flood forecasting methods are more, a patent CN108171003B discloses a flood forecasting method based on a multiple ratio algorithm, and the method solves the problem that in the prior art, mountain torrent disaster early warning monitors the current rainfall according to a rainfall station, and determines whether to send out early warning information or not compared with the critical rainfall; the patent CN108388957B discloses a medium and small river flood forecasting method and a forecasting system thereof based on a multi-feature fusion technology, the method solves the flood forecasting problem of medium and small rivers in humid and semiarid semihumid areas in China, and the forecasting precision of medium and small river flood forecasting is improved; the patent CN113887787A discloses a flood forecast model parameter multi-objective optimization method based on a long-time and short-time memory network and an NSGA-II algorithm, and the method can meet the requirements of LSTM flood forecast model parameter multi-objective optimization in different scenes, and provides a new technical support for mountain torrent disaster forecast and early warning work. And hydropower station navigation optimization scheduling methods aiming at water supply with different boundaries are rarely reported.
In the navigation process, the navigation of the downstream river section of the hydropower station is influenced by the power generation flood discharge of the power station and the tributary. Sometimes, under the condition that the power station discharge meets the requirement of navigation, the influence of downstream branch flood discharge occurs, the phenomenon of downstream flood jacking occurs, and the target river reach still can not meet the navigation condition. In order to increase the navigation time of a target river reach and improve the water flow condition of the target river reach, a hydropower station navigation optimization scheduling method for boundary water inflow needs to be designed urgently.
Disclosure of Invention
The invention aims to overcome the defects and provide a hydropower station navigation optimization scheduling method considering boundary incoming water, and the hydropower station navigation optimization scheduling method adopts a method for optimizing the flow rate of the power station to enable the hydraulic condition of a target river section to meet the navigation requirement through a numerical simulation technology so as to reduce water level fluctuation, improve the water flow condition, reduce the navigation stop time, increase the navigation duration of the river section and the navigation rate of a river channel and provide technical support for the navigation management of the hydropower station.
In order to solve the technical problems, the invention adopts the technical scheme that: a hydropower station navigation optimal scheduling method considering boundary water supply comprises the following steps:
step 1: forecasting the possible water situations of the trunk and tributaries in the future days according to short-term flood forecast to obtain boundary conditions of model calculation;
step 2: calculating a hydraulic characteristic value of the target navigation river reach through a one-dimensional hydrodynamic model according to the water inflow condition determined in the step 1;
and step 3: determining a water flow constraint condition of a target navigation river reach according to the relevant scheduling rules and the relevant shipping scheduling schemes;
and 4, step 4: and judging whether the calculation result corresponding to the flow discharged from the power station meets each constraint condition or not according to the calculation result of the numerical model.
And 5: and if the constraint conditions are not met, continuously optimizing the power station discharge flow process to enable the final target navigable river reach water flow conditions to meet requirements, and if the target navigable river reach water flow conditions after the optimization times reach the threshold value and do not meet the constraint conditions after multiple times of optimization, stopping the optimization, and taking the power station discharge flow closest to the constraint conditions as a final optimization result.
Preferably, in step 1, the future possible water situations are predicted through a hydrological model according to short-term flood forecast, wherein the hydrological forecast model comprises an integrated hydrological model, a distributed hydrological model, a semi-distributed hydrological model and a system response basin hydrological model, and the initial discharge of the power station is determined according to a power grid power generation plan and the water situations.
Preferably, when the hydraulic characteristic value of the target navigable river segment is calculated through the one-dimensional hydrodynamic model in step 2, the control equation is as follows:
wherein A is the flow cross-sectional area, m 2 (ii) a t is time, s; q is the flow, m 3 S; x is the horizontal distance in the water flow direction, m; q is the unit of lateral inflow of river length, m 3 S; alpha is a momentum correction coefficient; g is the acceleration of gravity, m/s 2 (ii) a h is water level, m; c is the metabolic coefficient, m 0.5 S; r is hydraulic radius, m.
Preferably, when the hydraulic characteristic value of the target river reach is calculated in step 2, the forecast inflow process of the flood of the main and branch flows and the downstream water level information are used as boundary input conditions, that is, the initial drainage flow of the hydropower station and the inflow process of the branch flows are used as upstream and side boundary conditions, and the daily water level and the hour water level amplitude of the target river reach are calculated by using the water level flow relationship as model boundary conditions in the downstream.
Preferably, the constraint condition of the target navigable river segment in the step 3 is based on the scheduling rule of the power station and the related navigation requirement of the local maritime department, and if the constraint condition includes a relationship, the worst condition is used as the constraint condition.
Preferably, the water flow constraint conditions in the step 3 include a highest minimum navigable water level, a maximum minimum navigable flow, and daily water level variation and hour water level variation in the navigable river segment.
Preferably, the step 4 constraint condition judgment process includes: and comparing the daily amplitude and the hour amplitude of the water level of the verification site in the target river reach, and judging whether the discharge flow and the water level meet the water flow constraint conditions permitted by navigation.
Preferably, the constraint condition judgment process in the step 4 is divided into two dimensions of time and space, and in time, if the daily water level and the hour water level amplitude of the verification site in the whole calculation time period both meet the requirements, the calculation is carried out until the requirements are met, otherwise, the requirements are not met; spatially, the water level verification station in the target river reach is required to meet relevant scheduling rules and relevant requirements of navigation announcements.
Preferably, in the step 5, optimizing the flow of the hydropower station out of the reservoir, adopting a trial algorithm to bring the optimized power station discharge flow into a one-dimensional hydrodynamic model for calculation to obtain the water level change condition of the verification station, and stopping calculation if the water level change condition meets the requirement; otherwise, performing optimization trial calculation again, and stopping optimization when the optimization times reach the threshold value and do not meet the constraint condition, and taking the result closest to the constraint condition as the final optimization result.
The invention has the beneficial effects that:
1. the method ensures that the hydraulic condition of the target river reach the navigation requirement by continuously optimizing the numerical model and adopting the method of optimizing the flow discharged by the power station, and ensures that the navigation of the target river reach which is possibly influenced by the water coming from the boundary of the main stream and the branch stream (for example, the downstream navigation area of the hydropower station is possibly supported by the flood level of the branch stream so that the daily water level and the hourly water level amplitude of the downstream navigation area cannot meet the navigation requirement) becomes possible, thereby increasing the navigation time, improving the navigation guarantee rate and providing technical support for the optimized scheduling of the hydropower station.
2. The method considers that hydropower station navigation scheduling is possibly influenced by boundary incoming water, and the condition that the water flow condition in a navigation river reach does not meet the constraint condition is influenced due to the fact that a downstream water level jacking occurs; the method can provide a technical means for navigation realization of a navigation river reach which is influenced by flood and is possible to have a navigation river reach, and even if the water flow condition of the navigation river reach the constraint condition under individual working conditions, the optimized delivery flow of the power station can reduce interval water level fluctuation, improve the water flow condition and reduce the time of navigation stoppage; the method is simple and convenient, high in calculation efficiency and low in labor cost, increases the navigation duration of the navigation river reach, improves the navigation efficiency of the river reach, and provides data reference for navigation management of hydropower stations.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 shows a typical flood process line with different frequencies in 1966 of Minjiang high-rise stations;
FIG. 3 is a schematic diagram of a one-dimensional hydrodynamic model towards the home dam to Luzhou;
FIG. 4 is 8000m for going out of the house from the dam 3 The water level change condition of each water level station meeting flood in Minjiang 5 years;
fig. 5 shows the flow out of the warehouse after the optimization of the power station of the home dam.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments.
As shown in fig. 1, a hydropower station navigation optimal scheduling method considering boundary water supply comprises the following steps:
step 1: forecasting the possible water situations of the trunk and tributaries in the future days according to short-term flood forecast to obtain boundary conditions of model calculation;
step 2: calculating a hydraulic characteristic value of the target navigation river reach through a one-dimensional hydrodynamic model according to the water inflow condition determined in the step 1;
and step 3: determining a water flow constraint condition of a target navigation river reach according to the relevant scheduling rules and the relevant shipping scheduling schemes;
and 4, step 4: and judging whether the calculation result corresponding to the flow discharged from the power station meets each constraint condition or not according to the calculation result of the numerical model.
And 5: and if the constraint condition is not met, continuously optimizing the power station discharge flow process to enable the final target navigation river reach water flow condition to meet the requirement, and if the target navigation river reach water flow condition after the optimization times reach the threshold value for multiple times, stopping the optimization, and taking the power station discharge flow closest to the constraint condition as the final optimization result.
Preferably, in step 1, the future possible incoming water situation is predicted through a hydrological model specifically according to short-term flood forecast, wherein the hydrological forecast model comprises an integrated hydrological model, a distributed hydrological model, a semi-distributed model and a system response basin hydrological model, and the initial discharge amount of the power station is determined according to a power grid power generation plan and the incoming water situation.
Preferably, when the hydraulic characteristic value of the target navigable river segment is calculated through the one-dimensional hydrodynamic model in step 2, the control equation is as follows:
wherein A is the flow cross-sectional area, m 2 (ii) a t is time, s; q is the flow, m 3 S; x is the horizontal distance in the water flow direction, m; q is the unit of lateral inflow of river length, m 3 S; alpha is a momentum correction coefficient; g is gravity acceleration, m/s 2 (ii) a h is water level, m; c is the metabolic coefficient, m 0.5 S; r is hydraulic radius, m.
Preferably, when the hydraulic characteristic value of the target river reach is calculated in step 2, the forecast inflow process of the flood of the main and branch flows and the downstream water level information are used as boundary input conditions, that is, the initial drainage flow of the hydropower station and the inflow process of the branch flows are used as upstream and side boundary conditions, and the daily water level and the hour water level amplitude of the target river reach are calculated by using the water level flow relationship as model boundary conditions in the downstream.
Preferably, the constraint condition of the target navigable river segment in the step 3 is based on the scheduling rule of the power station and the related navigation requirement of the local maritime department, and if the constraint condition includes a relationship, the most unfavorable condition is used as the constraint condition. For example, the inland river navigation standard (GB 50139-2014) stipulates that the instantaneous hub discharge flow rate should not be less than the flow rate of the original natural river at the designed lowest navigation water level; the highest navigation water level designed at the downstream of the hub navigation building is calculated according to flood recurrence periods of different levels of channels, the highest water level corresponding to the maximum flow rate of hub drainage is calculated, the lowest water level is calculated according to the water level corresponding to the instantaneous minimum flow rate of the hub drainage, and water level variation caused by factors such as river bed undercut and daily regulation of a power station is calculated. For the I and II level channels, the flood recurrence period is 100-20 years, for the III and IV level channels, the flood recurrence period is 20-10 years, for the V and VI level channels, the flood recurrence period is 10-5 years; the junction carries out daily regulation of the power station to cause the amplitude and the variability of water levels at the upstream and the downstream of the junction, and the requirements of safe navigation and operation of the ship are met.
Preferably, the water flow constraint conditions in the step 3 include a highest lowest navigable water level, a highest lowest navigable flow, and a daily water level variation and an hour water level variation in a navigable river segment.
Preferably, the step 4 constraint condition judgment process includes: and comparing the daily amplitude and the hour amplitude of the water level of the verification site in the target river reach to determine whether the lower leakage flow and the water level meet the water flow constraint conditions permitted by navigation.
Preferably, the constraint condition judgment process in the step 4 is divided into two dimensions of time and space, and in time, if the daily water level and the hour water level amplitude of the verification site in the whole calculation time period both meet the requirements, the calculation is carried out until the requirements are met, otherwise, the requirements are not met; spatially, the water level verification station in the target river reach needs to meet relevant scheduling rules and relevant requirements of navigation announcements.
Preferably, in the step 5, optimizing the flow of the water power station out of the warehouse, adopting a trial algorithm to bring the optimized power station discharge flow into a one-dimensional hydrodynamic model for calculation to obtain the water level change condition of the verification station, and stopping calculation if the water level change condition meets the requirement; otherwise, carrying out optimization trial calculation again, and stopping optimization when the optimization times reach the threshold value and do not meet the constraint condition, and taking the result closest to the constraint condition as the final optimization result.
The situation is explained by taking a family dam hydropower station as an example, the family dam hydropower station is positioned on a Jinshajiang main flow which is intersected with a Syrian province and a Yunan province rich city in Sichuan province, the water flow conditions of a river channel at the downstream of the hydropower station are obviously subjected to jacking action of Yangtze river branches and Minjiang river branches, and the water flow conditions are complex and changeable; according to the regulation of reservoir application and power station operation scheduling regulation of hydropower station of family dam, downstream water of hydropower station of family dam is suppliedTemporarily controlling the maximum daily amplitude to be not more than 4.5m/d, temporarily controlling the maximum hourly amplitude to be not more than 1m/h, actually scheduling and operating according to the maximum daily amplitude of the water level to be not more than 3m/d, and controlling the maximum hourly amplitude to be not more than 1 m/h; in addition, the navigation announcement of the local maritime work in Yibin City and the local maritime work in Shoantong City (Yishi Haitong word [2019 ]]27) and the maximum navigation flow of a 1000 t-class standard ship type of the ship elevator for the family dam is 8500m 3 (s) the flow rate of flood discharge of the hub does not exceed 2200m 3 The maximum navigation flow of a 500t heavy-duty standard ship type is 7500m 3 The flood discharge flow of the junction does not exceed 1000 m/s 3 And(s) in the presence of a catalyst. When flood occurs to the downstream branch regaining and the Yangtze river, even if the flow of leaving the dam meets the flood discharge flow requirement, the downstream water level of the dam does not meet the related water level variable amplitude condition, for example, during the flood occurs to regaining the river from 8 months to 15 months to 8 months and 21 days in 2020, the flow of leaving the dam hydropower station from 8 months to 18 days and from 5 days to 8 months and 19 days to 2 days in 8 months and 18 days is always maintained at 4100m 3 About/s, but the water level to the hydraulic station of the family dam is influenced by the Minjiang flood jacking, the water level is increased to 277.8m from 273.3m, the daily amplitude of the water level reaches 4.5m, and the navigation requirement is not met. By the method, the flow out of the house dam is optimized, the downstream water level amplitude meets various constraint conditions, even if the water flow condition of the navigation river reach no constraint condition, the optimized flow out of the house dam of the power station can reduce interval water level fluctuation, improve the water flow condition and reduce the time of navigation stoppage. The method comprises the following operation steps:
step 1: and predicting the possible future water situations of the trunk and the tributaries according to the short-term flood forecast. In order to better explain the applicability of the model, historical actual flow is adopted to verify a calculation result, and as the combination situation of flow leaving the dam and typical flood meeting with different frequencies of Min and Yangtze river is more, one situation is considered as analysis, and other situations are similar. The flow of leaving the reservoir to the hydropower station of the home dam is 8000m 3 Encounters regained consciousness 5 years and meets flood 25000m at s 3 And/s (as shown in fig. 2 and 4 in typical floods in 1966), the conditions of the hydraulics of the Yangtze river are changed from the state of the dam to the state of the Yibin river section when the Yangtze river comes according to the flow process in the same period in 1966.
And 2, step: establishing one-dimensional hydrodynamic model and model of the river reachThe schematic diagram is shown in FIG. 3. The model range is from the dam to Luzhou, the roughness value of the calculated river reach is rated between 0.028 and 0.064 by taking 8 months in 2020 as a parameter rating period and 9 months in 2021 as a parameter verification period. Inputting boundary conditions of a model, wherein the initial outbound flow to the dam is 8000m 3 S, minjiang performs equal-proportion scaling according to the typical actual flood process in 1966 (25000 m flood in one encounter in 5 years) 3 And/s), inputting the actual flow of the Yangtze river according to the simultaneous section, and determining the lower boundary by adopting the water level flow relation of the Luzhou station. And obtaining the hydraulic conditions of the river reach under the scheme through numerical simulation calculation.
And 3, step 3: combining flood control and navigation requirements of river sections at the downstream of the home dam and actual flow conditions of the ship lift machine in the home dam hydropower station in the flood season, obtaining the synthetic flow of the constraint conditions according to the flow to the home dam, the flood peak flow of the Minjiang high station and the flood peak flow of the Yangtze river station, wherein the synthetic flow is not higher than 51000m 3 Flood protection requirements/s; the maximum daily amplitude of the downstream water level of the hydropower station of the home dam is temporarily controlled to be not more than 4.5m/d, the maximum hourly amplitude is temporarily controlled to be not more than 1m/h, the actual scheduling operation is controlled to be not more than 3m/d according to the maximum daily amplitude of the water level, and the maximum hourly amplitude is controlled to be not more than 1 m/h.
And 4, step 4: judging whether the calculation result corresponding to the discharge of the power station meets each constraint condition or not according to the calculation result of the numerical model; the calculation result of the model is shown in table 1, and the flow of the model to the warehouse of a family dam power station is 8000m under the influence of Minjiang flood jacking (flood occurs in 5 years) 3 And when the water is delivered from the warehouse, the hourly water level amplitude of each station from the dam to the Yibin section is less than 1m, and the maximum daily water level amplitude does not meet the constraint condition requirement of 3 m/d.
TABLE 1 Direction-proper interval water level amplitude statistical table under action of Minjiang flood jacking
And 5: when the constraint condition in the step 3 is not met, the final target is achieved by continuously optimizing the process of the power station discharge flowAnd (3) the river reach water flow condition meets the requirement, if the constraint condition is not met after multiple times of optimization (threshold value 500), the optimization is stopped, and the power station ex-warehouse flow closest to the constraint condition is used as a final optimization result. The optimization principle is as follows: the method mainly comprises the steps of delivering to a dam to a control station of a dam hydrological station, and when the amplitude and the daily amplitude of the water level of the dam to the hydrological station exceed the standard, delivering to the dam corresponding to the period of exceeding the standard water level, and regulating and storing the flow; when the variation of the water level of the dam-oriented hydrological station meets the requirement and the variation of the water level of the suitable interval exceeds the standard, the maximum control station of the variation of the water level of the interval is taken as a regulation target, and the flow discharged to the dam corresponding to the period of the station exceeding the standard water level is regulated and stored. According to the principle, the flow of going out of the warehouse to the home dam corresponding to the period of the variation of the super water level of the control target station is in the upper limit range and the lower limit range of the flow of going out of the warehouse to the home dam (1700 m is determined according to the actual flow of going out of the warehouse for many years) 3 /s-8500m 3 And/s) carrying out same-proportion scaling delivery flow regulation, and finally obtaining the water level amplitude of each station, wherein the result is shown in table 2, and the water level amplitude of each station in the region from the home dam to the yippen meets the requirement after the delivery flow of the power station is optimized, and finally the delivery flow of the home dam is optimized according to the mode of a figure 5.
TABLE 2 rega river flood influenced statistical table for variation of water level in interval between front and back adjustment and suitable adjustment of dike
The above-described embodiments are merely preferred embodiments of the present invention, and should not be construed as limiting the present invention, and features in the embodiments and examples in the present application may be arbitrarily combined with each other without conflict. The scope of the present invention is defined by the claims, and is intended to include equivalents of the features of the claims. I.e., equivalent alterations and modifications within the scope hereof, are also intended to be within the scope of the invention.
Claims (9)
1. A hydropower station navigation optimization scheduling method considering boundary water supply is characterized by comprising the following steps: the method comprises the following steps:
step 1: forecasting the possible water situations of the trunk and tributaries in the future days according to short-term flood forecast to obtain boundary conditions of model calculation;
step 2: calculating a hydraulic characteristic value of the target navigation river reach through a one-dimensional hydrodynamic model according to the water inflow condition determined in the step 1;
and step 3: determining a water flow constraint condition of a target navigation river reach according to the relevant scheduling rules and the relevant shipping scheduling schemes;
and 4, step 4: and judging whether the calculation result corresponding to the flow discharged from the power station meets each constraint condition or not according to the calculation result of the numerical model.
And 5: and if the constraint condition is not met, continuously optimizing the power station discharge flow process to enable the final target navigation river reach water flow condition to meet the requirement, and if the target navigation river reach water flow condition after the optimization times reach the threshold value for multiple times, stopping the optimization, and taking the power station discharge flow closest to the constraint condition as the final optimization result.
2. The optimal hydropower station navigation dispatching method considering boundary water supply according to claim 1, wherein the optimal hydropower station navigation dispatching method comprises the following steps: in the step 1, the possible future water situations are predicted through a hydrological model according to short-term flood forecasting, wherein the hydrological forecasting model comprises an integrated hydrological model, a distributed hydrological model, a semi-distributed hydrological model and a system response basin hydrological model, and the initial discharge of the power station is determined according to a power grid power generation plan and the water situations.
3. The hydropower station navigation optimization scheduling method considering boundary incoming water according to claim 1, wherein the method comprises the following steps: when the hydraulic characteristic value of the target navigation river reach is calculated through the one-dimensional hydrodynamic model in the step 2, the control equation is as follows:
wherein A is the flow cross-sectional area, m 2 (ii) a t is time, s; q is the flow, m 3 S; x is the horizontal distance in the water flow direction, m; q is the unit of lateral inflow of river length, m 3 S; alpha is a momentum correction coefficient; g is gravity acceleration, m/s 2 (ii) a h is water level, m; c is the metabolic coefficient, m 0.5 S; r is hydraulic radius, m.
4. The hydropower station navigation optimization scheduling method considering boundary incoming water according to claim 1 or 3, wherein: when the hydraulic characteristic value of the target river reach is calculated in the step 2, the forecast inflow process of the flood of the main and branch flows and the downstream water level information are used as boundary input conditions, namely the initial drainage flow of the hydropower station and the inflow process of the branch flows are used as upstream and side boundary conditions, the water level flow relation is used as a model boundary condition in the downstream, and the daily water level and the hour water level amplitude of the target river reach are calculated.
5. The hydropower station navigation optimization scheduling method considering boundary incoming water according to claim 1, wherein the method comprises the following steps: and 3, the constraint condition of the target navigation river reach is based on the dispatching rule of the power station and the relevant navigation requirements of the local maritime department, and if the constraint condition contains a relation, the worst condition is used as the constraint condition.
6. The hydropower station navigation optimization scheduling method considering boundary incoming water according to claim 1 or 5, wherein: and the water flow constraint conditions in the step 3 comprise the highest and lowest navigation water level, the maximum and minimum navigation flow, and daily water level amplitude and hour water level amplitude in the navigation river reach.
7. The hydropower station navigation optimization scheduling method considering boundary incoming water according to claim 1, wherein the method comprises the following steps: step 4, the constraint condition judgment process comprises the following steps: and comparing the daily amplitude and the hour amplitude of the water level of the verification site in the target river reach to determine whether the lower leakage flow and the water level meet the water flow constraint conditions permitted by navigation.
8. The hydropower station navigation optimization scheduling method considering boundary incoming water according to claim 1 or 7, wherein: in the step 4, the constraint condition judgment process is divided into two dimensions of time and space, and in time, if the daily water level and the hour water level variation of the verification station in the whole calculation time period both meet the requirements, the requirement is met, otherwise, the requirement is not met; spatially, the water level verification station in the target river reach is required to meet relevant scheduling rules and relevant requirements of navigation announcements.
9. The optimal hydropower station navigation dispatching method considering boundary water supply according to claim 1, wherein the optimal hydropower station navigation dispatching method comprises the following steps: step 5, optimizing the delivery flow of the hydropower station, adopting a trial algorithm to bring the optimized power station discharge flow into a one-dimensional hydrodynamics model for calculation to obtain the water level change condition of a verification station, and stopping calculation if the water level change condition meets the requirement; otherwise, performing optimization trial calculation again, and stopping optimization when the optimization times reach the threshold value and do not meet the constraint condition, and taking the result closest to the constraint condition as the final optimization result.
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| CN116502775B (en) * | 2023-06-27 | 2023-09-19 | 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) | Hydrologic sequence enhancement and prediction method |
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