9 results about "Water resource planning" patented technology

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 tomography system, 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 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.

This invention discloses a water-energy coupled water resources planning 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 demand interval prediction results for each water-using sector; collecting and preprocessing historical water resource availability and energy availability data; constructing a water-energy system coupling 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.

This invention discloses a method and medium for dynamically determining ecological flow thresholds considering changes in hydrological conditions, belonging to the field of hydrology and water resources planning technology. The method includes: S1, collecting daily long-series runoff data from hydrological stations and performing data quality checks; S2, calculating various hydrological condition indicators annually based on daily runoff; S3, determining the empirical distribution of each hydrological condition indicator using kernel density estimation and calculating the hydrological condition indicator values ​​corresponding to the major quantiles; S4, running a genetic algorithm with the minimum annual flow as the objective function, daily runoff as the decision variable, and the allowable range of hydrological condition changes and water balance as constraints; S5, checking the convergence of the algorithm and determining the daily ecological flow threshold. This invention can obtain more accurate ecological flow thresholds.

The invention discloses an ecological flow threshold value dynamic determination method considering hydrological situation changes and a medium, and belongs to the technical field of hydrology and water resource planning. The method comprises the following steps: S1, collecting daily scale long sequence runoff volume data of a hydrometric station, and carrying out quality inspection on the data; s2, calculating each hydrological situation index year by year according to the daily runoff condition; s3, determining an empirical distribution condition of each hydrological situation index by adopting a kernel density estimation mode, and calculating a hydrological situation index value corresponding to a main quantile; s4, running a genetic algorithm by taking an annual flow minimum value as a target function, taking daily runoff as a decision variable and taking a hydrological situation variation allowable interval and water balance as constraint conditions; and S5, checking the convergence of the algorithm, and determining a daily ecological flow threshold. According to the invention, a more accurate ecological flow threshold can be obtained.

The application discloses a water level prediction 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 watershed water resources simulation 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 application provides a method for dividing a hydrological response unit in a plain area, which comprises the following steps: determining a river channel grid map composed of multiple river channels based on the lengths of the multiple river channels and the flow directions of the river channels; acquiring the angles of each corner in each sub-grid in the river channel grid map and determining the angle bisectors of each corner; and dividing a corresponding hydrological response unit for each river channel in each sub-grid according to the angle bisectors. According to the method, the hydrological response unit is divided for the river network in the plain area based on the principle that the distances from the point on the angle bisector to the two sides are equal, the problem that the DEM extraction method is not applicable to dividing the hydrological response unit for the plain area is solved, and the method has important significance for hydrological prediction and water resource planning in the plain area.

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.