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14 results about "Water resource planning" patented technology
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Water Resources Planning supports the TWDB's mission by collecting, analyzing, and disseminating water-related data; and, by providing other services necessary to aid in planning and managing the state's water resources.
The invention discloses a water levelprediction system and method based on a stack model, a medium and a computer program product. The system comprises a base model construction module, a stacking model construction module, a base model training module, a stacking model training module and a water level prediction module. The invention provides a water level prediction model framework which integrates the advantages of various deep learning models and has generalization, and by integrating the advantages of the various deep learning models, the prediction capability of water level change is improved, more reliable scientific support is provided for water conservancy management and water resource planning, and the method is suitable for popularization and application. And the public welfare service capability and the scientific decision-making level of channel water level prediction and forecast are enhanced.
The invention discloses a multi-element hydrological information prediction method and system. The method comprises the following steps: acquiring water level, flow velocity, flow and temperature time sequence data of a target water area through a high-frequency acoustic tomographysystem, and constructing a multivariate hydrological data set containing sampling duration and hydrological parameter vectors at all moments; preprocessing the collected multivariate hydrological data set to generate preprocessed data, and extracting timestamp features of a sequence; and decomposing the preprocessed data into a plurality of intrinsic mode functions and the like by adopting a variational mode decomposition method. The problems of gradient disappearance and local dependence of a traditional RNN model are solved, redundant noise interference is effectively eliminated while the multi-time-scale characteristic of hydrological variables is reserved, the prediction generalization ability under the complex coupling relation is improved, and high-precision technical support is provided for dynamic planning of water resources and disaster early warning.
The invention provides an urban waterresource planning method and system, and the method comprises the steps: constructing an interval fuzzy multi-layer planning model, and setting an objective function of each layer in the multi-layer planning model and a corresponding constraint condition; setting the minimum satisfaction of each layer, calculating the maximum and minimum objective function values based on the constraint of the decision variable of each layer, and substituting the maximum and minimum objective function values into the corresponding membership function to obtain the satisfaction of each layer; the satisfaction degree of each layer is obtained; respectively calculating the satisfaction stability of each layer according to the satisfaction of each layer; and if the satisfaction stability of each layer is within a preset interval, obtaining a decision variable value corresponding to the maximum total satisfaction as a water resource planning value of each layer. By means of the scheme, urban waterresource allocation can be optimized, and reasonability and reliability of water resource allocation are guaranteed.
The invention discloses a construction and verification method of a watershed water resource comprehensive simulation and configuration model, and belongs to the technical field of water resource planning and configuration. On the basis of a natural-social binary water circulation structure, flow generation, flow concentration and allocation modules are coupled, a topological relation is determined by dividing calculation units, and a model is constructed with the minimum water shortage rate and the optimal water supply fairness as targets; establishing a multi-source database containing meteorological information, land utilization information, reservoir information and water consumption unit information; performing iterative calibration and verification on natural water circulation and social water circulation parameters by using historical data; and coupling the model which is verified to be reliable with underlying surface and climate scene data of a future planning year, and operating and outputting a water resource optimal configuration scheme. The method solves the problems that an existing model is low in coupling degree and poor in precision, and high-precision simulation and scientific configuration of a drainage basin water resource system are achieved.
The invention relates to the technical field of lake waterpower simulation, and discloses a lake water flow efficient simulation method based on multi-GPU parallel computing, which comprises the following steps: establishing a two-dimensional shallow water control equation according to lake water flow data, discretizing the two-dimensional shallow water control equation by adopting a finite volume method, and subdividing a lake computational domain by adopting an unstructured triangular mesh; calculating the normal flux of the two-dimensional shallow water control interface by adopting a Roe format, and performing source item processing; upstream and downstream corresponding boundary conditions are set, and a minimum water depth method is adopted to process dry and wet boundaries; and solving the two-dimensional shallow water control equation in combination with a multi-GPU parallel computing technology to obtain a lake water flowsimulation result. The lake water flow high-efficiency simulation method based on multi-GPU parallel computing can accurately simulate the alternation change of the river and lake phases in the lake year, and provides basic hydrodynamic factors for supporting drainage basin management, water resource planning and other aspects.
This invention discloses a water-energy coupled water resourcesplanning method, apparatus, equipment, and medium. The method includes: collecting and processing historical index values corresponding to water demand prediction for each water-using sector to obtain the upper and lower limits of each index for the planning year, and inputting them into a trained water demand prediction model to obtain the water demandinterval prediction results for each water-using sector; collecting and preprocessing historical water resource availability and energy availability data; constructing a water-energy systemcoupling risk analysis model based on the Copula function to quantitatively analyze the coupling risk of the water-energy system, and setting four coupling risk scenarios: low, medium-low, medium-high, and high; constructing a multi-objective interval stochastic chance constrained programming model, which is decomposed into two deterministic sub-models; solving the two deterministic sub-models using a hybrid intelligent algorithm, and integrating the solution results to obtain and output the regional water resources optimization allocation results adapted to the four risk scenarios of low, medium-low, medium-high, and high.
The application discloses a water levelprediction system and method based on a stacked model, a medium and a computer program product. The system comprises a base model construction module, a stacked model construction module, a base model training module, a stacked model training module and a water level prediction module. The application provides a water level prediction model framework with generalization and comprehensive advantages of multiple deep learning models. The advantages of multiple deep learning models are integrated, the prediction ability for water level change is improved, more reliable scientific support is provided for water conservancy management and water resource planning, and the public service ability and scientific decision-making level of waterway water level prediction and forecasting are enhanced.
This invention discloses a method for constructing and validating a comprehensive watershedwater resourcessimulation and allocation model, belonging to the field of water resources planning and allocation technology. Based on a natural-social dual water cycle structure, it couples runoff generation, confluence, and allocation modules. The model is constructed by dividing computational units, determining topological relationships, and aiming at minimizing water shortage rate and optimizing water supply fairness. A multi-source database containing meteorological, land use, reservoir, and water-using unit information is established. Historical data is used to iteratively calibrate and validate natural and social water cycle parameters. The validated model is coupled with underlying surface and climate scenario data for future planning years to run and output an optimized water resources allocation scheme. This invention solves the problems of low coupling and poor accuracy in existing models, achieving high-precision simulation and scientific allocation of watershed water resources systems.
The present application relates to water resources planning technical field, disclose a kind of based on equivalent storage capacity cascade reservoir group water supply capacity calculation method, comprising the following steps: determining calculation condition;Calculate the equivalent beneficial storage capacity conversion relationship of cascade reservoir group;Calculate the equivalent storage capacity of cascade reservoir group, obtain the total beneficial storage capacity of the lowermost reservoir;Calculate the water supply capacity of cascade reservoir group, according to the total beneficial storage capacity of the lowermost reservoir, in combination with its runoff, calculate the total water supply capacity of the lowermost reservoir, it is the total water supply capacity of cascade reservoir group.This application is based on the equivalent storage capacity cascade reservoir group water supply capacity calculation method, the power function relationship of reservoir storage coefficient and regulation coefficient is used to deduce the conversion relationship of different reservoir beneficial storage capacity, and the total water supply capacity is calculated after the beneficial storage capacity of each reservoir in upstream is converted into the equivalent beneficial storage capacity at the lowermost reservoir, which can consider the influence of upper reservoir water supply on downstream, and greatly reduce the calculation workload.