18 results about "Water resource planning" patented technology

The invention belongs to the technical field of water resource planning and management, and particularly relates to a method for calculating an effective hydrological connectivity strength index range of a wetland based on an InSAR (Interferometric Synthetic Aperture Radar) technology. The calculation method comprises the following steps: acquiring image data of an area to be calculated; identifying all wetland plaques in the water body area; dividing the wetland plaques into different effective hydrological communication type groups; calculating an elastic force value of each wetland patch; constructing a water level fluctuation-ecological elastic force curve under different effective hydrological communication situations, carrying out segmented fitting on the water level fluctuation to generate a fitting line, calculating the mean value of the elastic force of the wetland plaques under the effective hydrological communication type, generating an elastic force mean value line, and calculating the elastic force mean value line; the two intersection points of the elastic force mean value line and the fitting line are the effective hydrological connection strength index range. According to the method, the wetland plaques of different effective hydrological connection type groups are divided according to the difference of the effective hydrological connection strength, the optimal ecosystem elastic force of the wetland plaques is calculated respectively, and then the effective hydrological connection strength index range is determined.

The invention discloses a water level prediction 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 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 provides an urban water resource 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 water resource 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 water power 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 flow simulation 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.

The present invention relates to the field of water resources planning and management, and particularly to a method for determining the optimal water level of a lake considering the coexistence relationship between water level and hydrological connectivity. The method comprises the following steps: analyzing and processing remote sensing images of a set lake to obtain hydrological connectivity data; obtaining water level data of the set lake; calculating the correlation coefficient between hydrological connectivity and water level to determine the correlation between the hydrological connectivity and water level series; respectively constructing the marginal distribution functions of hydrological connectivity and water level; using the Copula function to obtain the joint probability distribution function of the two; combining the requirements of lake water replenishment management and ecological restoration objectives, setting different water replenishment scenarios for hydrological connectivity and water level, and determining the optimal water level of the lake by using joint probability and conditional probability analysis. The present invention considers the coexistence relationship between water level and hydrological connectivity and the uncertainty generated by it for water replenishment management, determines the optimal water level of the lake, and provides a quantitative basis for the water replenishment management of the lake.

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.

The invention discloses a method for establishing a two-parameter monthly-scale hydrological model based on a hydrothermal complementary equation, belonging to the field of hydrology. The method includes the following steps: collecting hydrological data of the research area; dividing the calibration period and the verification period according to the time series; constructing a two-parameter monthly-scale hydrological model based on the hydrothermal complementary equation; using the SCE-UA algorithm for parameter calibration; and model testing and accuracy evaluation. The monthly-scale hydrological model established by the method provided by the invention has the characteristics of a solid theoretical basis, a simple structure, fewer parameters, and high simulation accuracy, and is suitable for popularization and use in humid and semi-humid regions, providing technical support for water resource planning and rational allocation.

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 efficient water-saving irrigation project planning method and device, and relates to the technical field of irrigation project planning, and the method comprises the steps: calculating a first project construction area according to the drainage amount of drainage basin surface water; calculating a second engineering construction area according to the basin terrain fall; determining the minimum value of the first engineering construction area and the second engineering construction area as an irrigation planning area; based on the irrigation planning area, determining the positions of a main pipe, branch pipes and branch pipes according to topographic conditions and water source positions; the main main pipe and the branch main pipes are arranged perpendicular to or approximately perpendicular to a terrain contour line; the branch pipes are arranged in parallel or approximately parallel to contour lines; by adjusting the inner diameters of the main pipe, the branch pipes and the branch pipes, the energy consumption of water flow in the pipeline is adjusted, so that the water flow pressure of the whole irrigation system is uniformly distributed. The water resource planning and utilization level of the arid inland river basin can be effectively improved, and a method and means are provided for comprehensive planning and reasonable configuration of water resources in the arid region.

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 invention is suitable for the technical field of water resource planning, and particularly relates to a water resource allocation planning method and system.The method comprises the steps that a water resource allocation area is delimited and cut into a plurality of sub-blocks, crops planted in the sub-blocks are the same, the real-time water content of soil in the sub-blocks is collected, and the real-time water content of the soil in the sub-blocks is calculated; updating according to a preset frequency, determining the ideal water content of each sub-block, and configuring a fluctuation range; and constructing a prediction model of the soil water content, inputting the real-time water content into the prediction model, outputting to obtain predicted water content and corresponding time, and drawing a change curve graph by taking the time as a horizontal coordinate and the predicted water content as a vertical coordinate. According to the method, the most suitable irrigation time can be determined by selecting the optimal time period, and the irrigation time of different users can be unified by comparing the idle time periods, so that a plurality of sub-blocks are irrigated simultaneously, the workload of water resource allocation is greatly reduced, and the agricultural production efficiency is improved.

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 invention discloses a low-cost irrigation area water utilization efficiency measuring method and system, and belongs to the technical field of water resource planning. The method comprises the following steps: S1, acquiring state information of each water delivery valve in an irrigation area, wherein the state information comprises opening degree information and corresponding door opening duration; s2, collecting growth data of crops in the irrigation area, and calculating actual water consumption based on the growth data; s3, measuring the water utilization efficiency of the irrigation area based on the actual water consumption and the state information to obtain efficiency data; and S4, predicting the future water consumption of the crops in the irrigated area, and adjusting the state information of the water delivery valve based on the predicted data. According to the invention, point cloud data of irrigated area valves and crops are collected, and then data analysis is carried out, so that low-cost and high-efficiency water utilization efficiency measurement can be realized.

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.