554 results about "Reservoir capacity" patented technology

The invention provides a pumped storage power station multi-element multi-target intelligent online site selection method and device and a storage medium. The method comprises the following steps: extracting a midpoint of each river network line segment as a candidate point to construct a candidate point set # imgabs0 #; the set # imgabs3 # is screened according to the water diversion distance # imgabs1 # and the water head parameter # imgabs2 #, and a set # imgabs4 # is obtained; verifying the dam length, the dam height, the reservoir capacity and the reservoir surface form of the candidate points in the set # imgabs5 # by using a multi-target constraint model to obtain a set # imgabs6 #; a candidate point # imgabs8 # is selected from the set # imgabs7 #, a candidate point # imgabs11 # matched with the candidate point # imgabs10 # in the set # imgabs9 # is screened out, and a set # imgabs12 # is obtained; and obtaining a candidate point, which is optimally matched with the candidate point # imgabs14 #, in the set # imgabs13 # through suitability analysis. The pumped storage power station online site selection method is optimized from the aspects of site selection efficiency, reservoir capacity calculation, homogeneous site optimization, site comprehensive evaluation and the like.

The invention discloses a pumped storage power station development potential evaluation system based on reservoir geographic characteristics, and relates to the technical field of pumped storage power station site selection planning, and the method comprises the steps: obtaining the dam data and satellite remote sensing topographic data of a built reservoir, and screening the built reservoir as a lower reservoir of the pumped storage power station according to the reservoir capacity; for mountain land and flat land terrains, searching stations around a lower reservoir as an upper reservoir of the pumped storage power station according to the topographic data of the built reservoir dam; estimating the potential reservoir capacity and energy storage capacity of the upper reservoir, and calculating and developing the theoretical potential of the pumped storage power station; and excluding human activity areas, traffic facilities and water limited areas, and calculating and developing the achievable potential of the pumped storage power station. According to the method, technical support is provided for the development mode of the pumped storage power station in which the upper reservoir is additionally built based on the built reservoir in the large spatial scale, the problems that a traditional potential evaluation method is limited by a single terrain and low in efficiency are solved, and sustainable development of the pumped storage power station is promoted.

The invention discloses an agricultural and pastoral area water network regulation and storage project scale determination method and system. The method comprises the following steps: collecting historical data of an agricultural and pastoral area, dividing the agricultural and pastoral area into a plurality of secondary sub-areas, respectively calculating the water demand and available water consumption of each secondary sub-area, and identifying a water shortage time period and a water shortage area; constructing a regulation and storage project layout scheme set, and calculating the regulation and storage capacity and project parameters of each regulation and storage project; constructing a single-target optimization model, simulating a regulation and storage result of each regulation and storage project layout scheme, evaluating each regulation and storage project layout scheme, and screening out an optimal regulation and storage project layout scheme; and constructing an irrigation scheduling optimization model based on the optimal regulation and storage project layout scheme, solving the model to dynamically optimize and adjust the water storage time, the water discharge time and the water discharge amount of the regulation and storage project, and generating an agricultural and pastoral area water network regulation and storage project layout scheme. The water resource utilization efficiency of agricultural and pastoral areas is improved, the water resource supply and demand contradiction is relieved, and sustainable development of agriculture and animal husbandry and ecological environment improvement are promoted.

The invention relates to the technical field of reservoir storage capacity measurement, in particular to a reservoir storage capacity measurement method and system based on remote sensing and point cloud data, and the method comprises the following steps: extracting a terrain surface point set based on input remote sensing image data and point cloud data, and calculating a three-dimensional coordinate value, a curvature value and a point density value of each point; and comparing and classifying curvature and density data in combination with the change of the reservoir boundary. According to the method, through comprehensive application of remote sensing image data and point cloud data, three-dimensional coordinates, curvature values and point density values are adopted to accurately extract topographic features, scientific division and feature description of sub-regions are achieved, refined three-dimensional grid parameters are generated through fitting and interpolation calculation, and the accuracy of the three-dimensional grid parameters is improved. The terrain modeling precision and the space geometry description capability of a complex area are improved, boundary node coordinates and normal vectors are dynamically adjusted, the grid continuity is optimized, the integrity of a boundary transition area is ensured, and the boundary complex volume is accurately described by adopting unit volume subdivision and boundary correction.

The invention discloses a reservoir inflow back-stepping method based on ensemble Kalman filtering and hydrodynamic simulation. The method mainly comprises the following steps: (1) collecting and sorting reservoir upstream river topography, water level measured data and reservoir inflow data; (2) constructing and calibrating a one-dimensional hydrodynamic model according to reservoir area section topographic data and multi-section actually measured water levels; (3) assuming that the flow at the initial moment is in normal distribution and extracting an initial set, constructing a model instance based on the flow and the water level data at the last moment, and generating a state prior set; (4) generating an observation sample set based on the observation water level data and white noise; and (5) updating the storage flow posterior set by using set Kalman filtering, and repeating the steps (3)-(5) by taking the average set as the flow average value at the next moment until the last moment. According to the method, the influence of inaccurate water level measurement and the dynamic reservoir capacity of the reservoir can be reduced, minute-level, smooth and accurate reservoir inflow data can be obtained, and the method can be easily moved to different drainage basins to guide actual scheduling.

The invention discloses a grating dam safety evaluation and design method and structure based on debris flow blocking degree. Wherein the safety assessment method comprises the following steps: S100, calculating the safety of the debris flow on the basis of the solid matter concentration of a debris flow susceptible area, the particle size value corresponding to the accumulated content of 95% in a full particle size grading curve, the channel average gradient, the channel average width and the primary debris flow scale in the section range of the grating dam, the minimum particle size value of the maximum boulder in the drainage basin and the opening width of the grating dam; calculating a critical blocking judgment coefficient according to the correlation value of the height of the grating dam, the angle of the wedge-shaped structure and 60 degrees and the correlation value of the total amount of debris flow solid substances and the reservoir capacity of the wedge-shaped beam type grating dam; and S200, evaluating the safety of the grating dam based on the critical blocking discrimination coefficient. The evaluation and design method and structure incorporate the relative relation between the debris flow scale and the dam body storage capacity, meanwhile, the influence on active structure parameters such as wedge-shaped flow guide is quantified, and the blocking state prediction accuracy of the grating dam in actual operation is improved to a certain degree.

The invention relates to the technical field of reservoir storage capacity analysis, in particular to an intelligent reservoir storage capacity analysis method and system based on multi-source data fusion, and the method comprises the following steps: collecting ground water level sensor data, meteorological station data, LiDAR point cloud data and aerial image data, synchronizing the data through a unified timestamp, integrating the data, summarizing the integrated data, and carrying out the analysis of the reservoir storage capacity. And generating a comprehensive multi-source data set. According to the invention, through real-time updating and accurate tracking of daily reservoir capacity changes, the accuracy of reservoir capacity estimation is significantly improved, daily cumulative statistics of water level, rainfall and evaporation capacity data is integrated, dynamic and detailed management is promoted, seasonal changes and long-term trends of the reservoir water level are analyzed, and the reservoir capacity estimation accuracy is improved. The method can accurately reveal the direct effect of manual intervention and the influence of the manual intervention on the natural supply mode of the reservoir, can make a scientific decision based on a comprehensive data view, integrates short-term prediction and real-time data flow monitoring to enable an early warning system to quickly respond, and optimizes the efficiency and effectiveness of disaster management.

A method for reducing the danger of a dammed lake formed by a debris flow blocking a river, comprising: first predicting the accumulation range of a river-blocking debris dam during occurrence of a debris flow, dividing a river boundary into multiple areas on the basis of the elevation, and then performing roughness reduction treatment on the areas of the river boundary during a dry season. The present method reduces the roughness of a river boundary within the accumulation range of a river-blocking debris dam, so as to reduce the opposite bank dam height of the river-blocking debris dam and the storage capacity of the dammed lake, thereby achieving the purpose of reducing the danger of dammed lakes formed by debris flows and reducing the impact of debris flow disasters.

A cascade reservoir optimization dynamic control method based on different scheduling objectives of flood season staging comprises the following steps: step 1, performing flood season staging on a cascade reservoir based on rainstorm flood characteristics, and establishing a pre / main flood season'flood control-power generation 'and post flood season'flood control-water storage' optimization scheduling model; step 2, constructing a cascade reservoir dynamic control domain; step 3, based on the flood season staging result in the step 1 and the cascade reservoir dynamic control domain constructed in the step 2, constructing an optimization model taking the maximum cascade generating capacity and the minimum flood control risk as targets; setting constraint conditions of the optimization model; and solving the optimization model through a multi-target intelligent optimization algorithm to obtain a dynamic scheduling scheme. According to the method, optimal scheduling methods such as flood season staging and'aggregation-decomposition 'are adopted, flood control risks of drainage basin reservoir group scheduling are fully considered, and efficient utilization of cascade reservoir water resources is realized by utilizing a cascade reservoir flood control capacity complementation mechanism.

The invention relates to the field of emergency dispatching calculation of a barrier lake, and discloses a rapid calculation method for a reservoir capacity curve of a barrier lake, which comprises the following steps of: acquiring watercourse satellite DEM or DSM topographic data of a barrier lake reservoir area in a dry season, and performing multi-source heterogeneous data fusion to obtain topographic data of a submerged area of the barrier lake reservoir area; acquiring water level elevation and calculation precision according to landform data of the submerged area of the reservoir area of the barrier lake, and tracking and calculating upper and lower boundaries of the submerged area of the barrier lake at the current water level by adopting an iterative calculation method; precision parameters are calculated according to the reservoir capacity curve, iteration is conducted on all water level elevations below the water surface, the grid volume sum between different water levels is calculated according to the number of regional strips where each layer of grids intersect with the river channel satellite DEM, and the reservoir capacity water level curve of the barrier lake is obtained. A space subdivision and iteration intersection method is adopted, the reservoir capacity water level line is obtained, submerging range polygon calculation is conducted, the calculation efficiency and accuracy are high, and the method is suitable for being applied to the emergency rescue scene of the barrier lake.

The invention discloses a reservoir capacity curve rechecking method based on satellite altimetry and remote sensing imaging technology, which belongs to the field of water conservancy and hydropower engineering and hydrology and water resource management, and comprises the following steps of: inverting and correcting the water level elevation of a reservoir by adopting altimetry data monitored by satellite remote sensing; recognizing a reservoir water body range based on a remote sensing image, and counting an area sequence; constructing a reservoir capacity calculation model based on the synchronous remote sensing water level and area sequence of the reservoir; remote sensing water level-area and water level-storage capacity curves are fitted, the precision is evaluated, and the process that the same satellite task is adopted to invert the same-period water level and area to reconstruct the storage capacity curve is achieved. By adopting the method, the defect that the water level and the area of the reservoir characteristic curve reconstructed by using satellite remote sensing data in the prior art are not synchronous can be avoided, the defects that the traditional height measurement satellite based on laser or synthetic aperture radar can only obtain the sub-satellite point cloud elevation and the step length is relatively long are overcome, and the precision of the reconstructed characteristic curve can be remarkably improved; the method has remarkable advantages in reconstructing characteristic curves of small reservoirs in remote areas and large ranges.

The invention discloses a cascade power station scheduling parameter access and influence factor prediction method, and relates to the technical field of power station scheduling, and the method comprises the following steps: obtaining the operation parameter data of each cascade power station, including but not limited to flow, output, storage capacity and water level; multi-dimensional impact factor data related to power station dispatching is collected, and impact factors comprise meteorological data, geographic data and hydrological data. According to the method, the reservoir level is accurately predicted through multi-source data fusion and deep learning, prediction errors are reduced, scheduling is optimized, and extreme meteorology is especially coped with. A feedback adjustment mechanism is introduced to reduce abandoned water and improve water and electricity utilization efficiency and power grid flexibility. By combining an intelligent optimization algorithm and deep reinforcement learning, a scheduling scheme is dynamically adjusted, the utilization of hydroelectric resources is maximized, the safety of a power grid is ensured, overload or insufficient supply is avoided, and the emergency response capability and stability of the power grid are enhanced.

The invention relates to the technical field of hydraulic engineering full-life-cycle management, in particular to a hydraulic engineering full-life-cycle management method and system based on digital twinning. The method comprises the following steps: acquiring reservoir peripheral data, designing a reservoir dam based on the data, and constructing a three-dimensional model of the reservoir dam; and carrying out reservoir soil condition collection and water fluidity change estimation so as to analyze the soil settlement condition. According to the water fluidity change data and the soil settlement data, calculating water pressure distribution, foundation settlement and reservoir capacity attenuation of the dam; evaluating the efficiency attenuation of the dam generator set, optimizing the dam design, and ensuring the feasibility and efficiency of the design; according to the method, the water conservancy project full-life-cycle management technology is optimized, so that the water conservancy project design is safer and more stable.

The invention discloses a method for calculating the rainstorm resistance of a reservoir by considering the soil humidity state. The method comprises the following specific steps: acquiring data such as terrain, soil, vegetation, rainfall, water level and ex-warehouse flow; the water level, the warehouse-out flow and the water level-warehouse capacity curve data are used for reversely deducing the warehouse-in flow; constructing a VIC hydrological model as a reservoir flood forecasting model; according to the reservoir characteristic parameters and the reservoir scheduling schedule, constructing a reservoir scheduling model; coupling the reservoir entering flood forecasting model and the reservoir dispatching model; constructing a reservoir anti-rainstorm capability model; acquiring SMAP remote sensing soil humidity data, and performing data assimilation on the SMAP remote sensing soil humidity data and the VIC model; and on the basis of the VIC model after the soil humidity state is updated, reservoir flood forecasting is carried out, and reservoir rainstorm resistance calculation considering the current soil humidity is realized. According to the method, by dynamically updating the soil humidity state of the drainage basin, the accuracy of reservoir flood forecasting is remarkably improved, the precision of reservoir rainstorm resistance assessment is enhanced, and technical support is provided for reservoir flood control dispatching.

The present invention provides a method for linearizing the output function of a hydropower station based on rectangular grids, comprising: taking a binary function between the upper and lower limits of the permissible range of the average storage capacity of a reservoir period and the outflow flow as the output function of the hydropower station; equally dividing the feasible domain of the output function of the hydropower station into rectangular grids; defining a corresponding plane for each rectangular grid; constructing a quadratic programming model for calibrating the plane cluster parameters that approximate the output surface of the hydropower station based on the characteristic parameters of the plane; solving the quadratic programming model to obtain the parameters of a set of plane equations that approximate the optimal output of the hydropower station; in a reservoir optimization scheduling model whose scheduling target includes maximizing the output of the hydropower station or the power generation of the hydropower station during the scheduling period, using the parameters of the plane equations obtained by solving to construct a linearized expression of the hydropower output function in the reservoir optimization scheduling model. The present invention not only avoids the introduction of integer variables, improves the solution efficiency, but also ensures the accuracy of fitting the output of the hydropower station.

The invention provides a method and device for analyzing and calculating reservoir capacity by using a digital elevation model (DEM), and relates to the technical field of capacity estimation.The method comprises the steps that original digital elevation model (DEM) data is cut to obtain DEM data of a reservoir area, and the DEM data is supplemented according to high-precision map data; fusing topographic map data with the DEM data to obtain fused reservoir DEM data; and calculating the submerged area and the reservoir capacity under each water level condition based on the fused reservoir DEM data. The DEM data is supplemented through the high-precision map data and the topographic map data, the calculation of the submerged area and the reservoir capacity under each water level condition is realized, the overlarge calculation error caused by insufficient map precision is avoided, and the accuracy of reservoir capacity analysis is improved.

The invention discloses a flood and secondary disaster early warning method and system based on space-air-ground three-dimensional monitoring, and relates to the technical field of space-air-ground detection, and the method comprises the steps: obtaining pre-rainfall data, water vapor content data, actual rainfall data and main stream flood peak flow data; inputting the pre-rainfall data, the water vapor content data, the actual rainfall data and the main stream flood peak flow data into an algorithm model to generate flood stroke and evolution data; and early warning information and an emergency scheme are sent according to the flood journey and evolution data, and flood and secondary disaster early warning is realized. Through cooperation of air-based monitoring, space-based monitoring and foundation monitoring, accurate data of flood formation and evolution are calculated, and then emergency response is started when continuous heavy rainfall occurs or disastrous flood is predicted; by carrying out reservoir pre-discharge scheduling in advance, the river water level is reduced, the reservoir capacity is vacated, and production and life losses caused by flood disasters are reduced.

The invention relates to the technical field of reservoir dam safety evaluation, in particular to a reservoir dam flood safety risk evaluation method, a computer storage medium and equipment. The reservoir dam flood safety risk assessment method comprises the following steps: deducing estimated values of hydrological statistical parameters of a sample series; randomly simulating a longer series of flood peak flow long series samples, and obtaining a flood hydrograph corresponding to the simulated flood peak flow series; flood regulation calculation is carried out according to a set scheduling scheme by combining the reservoir capacity curve and discharge curve data of the reservoir, and a flood regulation highest water level value is obtained; and deducing the conditional probability that the reservoir level exceeds different characteristic water levels due to the flood based on the obtained flood regulation highest water level value, and evaluating the flood safety risk of the reservoir dam according to the conditional probability. According to the method, simulation and calculation results can be visually presented, the calculation process is direct and clear, and the method has important practical significance and good application prospects in reservoir operation dam safety risk assessment.

The invention discloses a barrier lake hydrological emergency forecasting method and system based on coupling meteorological values, and the method comprises the steps: collecting the site information of a barrier lake, and constructing a barrier lake storage capacity curve; measuring the water level and area data of the barrier lake, calculating the water volume of the barrier lake, constructing a static reservoir capacity flood regulation calculation model and a dynamic reservoir capacity flood regulation calculation model, and determining the maximum flow of the breach; flood real-time calculation is carried out, real-time alarm information is collected to optimize and correct parameters, and a final flood forecasting scheme is obtained; massive scenes are constructed based on a water system river network, landforms, actual water and rain conditions and on-dam water levels of a site where the barrier lake occurs, and based on barrier lake hydrological emergency forecasting scheme samples under different scenes, regularity information of optimal emergency forecasting is extracted, and barrier lake hydrological emergency forecasting rules are formulated. Compared with a traditional emergency hydrological forecasting method for the barrier lake, the emergency hydrological forecasting method for the barrier lake has the advantages that the emergency hydrological forecasting scheme can be quickly compiled in a targeted manner, and timely forecasting and early warning are realized.

The invention discloses a method, a system, equipment and a medium for evaluating the reservoir capacity of a tight gas reservoir, and relates to the technical field of petroleum and natural gas engineering. Comprising the following steps: acquiring actually measured Young modulus of each mineral component in a standard rock sample of a tight gas reservoir to be measured, and calculating theoretical Young modulus of each mineral component in the standard rock sample through a Young modulus calculation formula; combining the theoretical Young modulus with the actually measured Young modulus to obtain the mineral dispersity of each mineral component, and calculating the skeleton brittleness of each mineral component; measuring the total porosity and the effective porosity of the standard rock sample, calculating the effective porosity percentage of the standard rock sample, calculating the pore throat complexity of each mineral component, and calculating the pore throat effectiveness of each mineral component; and calculating a reservoir factor, and comprehensively evaluating the reservoir capacity of the tight gas reservoir to be tested. According to the method, the reservoir capacity of the tight gas reservoir is reflected through the numerical value of the reservoir factor, so that the evaluation result of the reservoir capacity of the tight gas reservoir is more accurate.

The invention discloses a reservoir flood control optimization scheduling objective function construction method considering dynamic reservoir capacity influence, and belongs to the field of reservoir flood control scheduling, and the method comprises the steps: S1, taking a maximum peak clipping criterion as an optimization criterion, taking the change of wedge-shaped reservoir capacity into consideration when calculating the reservoir capacity change caused by the reservoir inflow and outflow flow according to a water balance principle, and taking the maximum peak clipping criterion as an optimization criterion; re-deducing a target function of the flood control optimization scheduling model of the river type reservoir considering the influence of the dynamic reservoir capacity; s2, according to the obtained objective function, constructing a new river-type reservoir flood control optimization scheduling model, and replacing a common water balance equation with a Saint-Venant equation set as a constraint condition of water balance; the invention provides the reservoir flood control optimization scheduling objective function construction method considering the influence of the dynamic reservoir capacity, the flood control optimization scheduling model for the river type reservoir is established based on the objective function deduced by the method, accurate simulation of flood control scheduling of the river type reservoir is realized, and then an accurate and reliable optimal scheduling scheme is obtained.

The invention provides a cascade reservoir sediment regulation and control method and device, computer equipment and a storage medium. The method comprises the steps that the sediment deposition process of a cascade reservoir in a prediction period is obtained; according to the sediment deposition process of the cascade reservoir in the prediction period, multiple groups of water and sediment amounts of the cascade reservoir in the prediction period are obtained; adopting a preset optimal segmentation method to select the combination of the optimal classification number of water and sediment volumes from the multiple groups of water and sediment volumes of the cascade reservoir in the prediction period to obtain a feature combination; and on the basis of a cascade reservoir sediment regulation and control model, solving each feature combination, and selecting an optimal sediment regulation and control scheme according to a solving result. The characteristic reservoir water amount, the characteristic reservoir sediment amount and the characteristic effective reservoir capacity combination are selected through a preset optimal segmentation method, the variation characteristic of the sediment regulation and control constraint condition of the cascade reservoir can be effectively solved, and the accuracy of an optimization algorithm is improved; the optimal sediment regulation and control scheme is obtained by solving the characteristic conditions based on the cascade reservoir sediment regulation and control model, and the scheduling optimization process is effectively simplified.

The invention relates to a rapid calculation method and system for reservoir flood regulation calculation based on a dynamic reservoir capacity curve, and the method comprises the steps: collecting reservoir area data, and constructing an initial reservoir area hydraulic model; collecting alignment samples including a calibration sample and an inspection sample, and inspecting the initial reservoir area hydraulic model by adopting the calibration sample and the inspection sample to obtain a reservoir area hydraulic model; extracting actually measured flood data, dividing into a plurality of incoming water schemes, setting different reservoir outlet flows for each incoming water scheme, inputting the different reservoir outlet flows into a reservoir area hydraulic model for calculation, obtaining sample nodes, and constructing a dynamic reservoir capacity curve graph; on the basis that the water level calculation process is continuous and the highest reservoir water level is equal to the dynamic reservoir capacity curve calculation value, the process forecast of the flood regulation water level in the predicted period is obtained through backward calculation by adopting a water balance equation period by period. According to the method, rapid and accurate reservoir flood regulation calculation under the influence of dynamic reservoir capacity is realized, a session flood reservoir water level forecasting process is provided, and more accurate reservoir water level forecasting information support is provided for reservoir regulation and flood and drought disaster prevention.

The embodiment of the invention provides a reservoir capacity dynamic monitoring method and system based on an unmanned aerial vehicle, and the method comprises the steps: obtaining a reservoir surface feature data set through the unmanned aerial vehicle, determining the boundary of a water area, scanning the bottom of the reservoir, obtaining the underwater terrain elevation and sediment distribution data, and constructing a three-dimensional terrain model; and determining terrain and deposit change data based on the three-dimensional terrain model dynamic change data of the continuous time sequence. Sedimentation space distribution characteristics are obtained through change rate analysis, and the sediment transportation amount and the sedimentation and deposition space rule are determined in combination with the water flow speed. Key driving factors are screened through correlation analysis, a sedimentation high-risk area is determined according to the key driving factors, and the change of sediments in the area is monitored, so that the change of the reservoir capacity is mastered. The reservoir siltation can be accurately and dynamically monitored, the high-risk area and the change mode are defined, the dynamic database is constructed to update the capacity change in real time, and important technical support is provided for reservoir management and flood control and disaster reduction.

The invention discloses a water level-reservoir capacity curve construction method and device based on a remote sensing image. The method comprises the following steps: collecting basic information of a reservoir, actually measured water level data, characteristic value data and a remote sensing image corresponding to the reservoir; matching a corresponding remote sensing image according to reservoir coordinates and actually measured water level data time, extracting reservoir water surface areas in a wet water period, a dry water period and a flat water period, and fitting the reservoir water surface areas with actually measured water level data to obtain a water level-area relation curve; based on the water level-area relation curve, calculating the dead water level area of the reservoir, and based on the dead water level area and the dead storage capacity, calculating the storage capacities of the reservoir in the wet season, the dry season and the flat season; and fitting to obtain a water level-storage capacity curve based on the storage capacity of the reservoir in the wet season, the dry season and the flat season and the actually measured water level data. According to the method, a new thought is provided for constructing the water level-storage capacity curve of the reservoir without data or with data difficult to obtain.

The invention relates to the field of multi-energy coupling complementary scheduling, and discloses a successive approximation random dynamic planning method for a watershed water-wind-light integrated system, and the method comprises the steps: 1, inputting the description of uncertainty; a plurality of characteristic discrete values are sampled from theoretical probability distribution functions of runoff, photovoltaic output and wind power output to represent known continuous probability distribution, and uncertainty of input of the watershed water-wind-light integrated system is described; 2, solving a transition probability matrix; describing the continuity of an input variable time sequence by adopting a simple discrete time Markov chain; 3, considering an objective function and constraint conditions of the watershed water-wind-light integrated system, and constructing a complementary optimization scheduling model; 4, solving by adopting a successive approximation-random dynamic programming method (SDP-SA), and deducing a scheduling rule, namely a scheduling decision table, of the watershed water-wind-light integrated system by taking the time period initial storage capacity, runoff, photovoltaic output and wind power output scenes of the adjustable reservoir in each stage of sub-complementary system as multi-dimensional state variables and the time period final storage capacity as a decision variable; and 5, when an actual inflow condition occurs, looking up the scheduling decision table to perform interpolation calculation according to the reservoir capacity and the inflow condition of the current sub-complementary system and the wind power output and the photovoltaic output which are obtained by forecasting in the period of time, obtaining the reservoir capacity at the end of the period of time, and completing an optimal scheduling decision.

The invention discloses a method and device for predicting the reservoir water level process during pumped storage and conventional hydropower combined operation, a medium and a product, and relates to the field of pumped storage and hydropower combined operation. Based on the operation parameters, determining energy conversion characteristics of the pumped storage power station, and constructing an objective function and constraint conditions; under different power generation and pumping modes of the pumped storage power station, solving the target function by taking a constraint condition as a constraint to obtain the storage capacity of each lower storage at each moment in a scheduling period under different power generation and pumping modes; determining the water level process of each lower reservoir in the scheduling period under the different power generation and water pumping modes based on the reservoir capacity of each lower reservoir at each moment in the scheduling period under the different power generation and water pumping modes; the water level process comprises water levels at all moments. According to the method, prediction of the reservoir water level change process of the pumped storage power station in different pumping modes is realized.

The invention provides a productivity evaluation method for a tight gas reservoir horizontal well, and relates to the technical field of tight gas reservoirs, and the method comprises the following steps: obtaining well logging sensitive parameters and rock mechanical parameters of the tight gas reservoir horizontal well; based on the logging sensitive parameters and a comprehensive index model, comprehensive indexes corresponding to different reservoirs in the horizontal well are calculated; based on the comprehensive index, the logging sensitive parameter and the rock mechanical parameter, determining a geological dessert level and an engineering dessert level corresponding to the reservoir; and carrying out productivity evaluation on the horizontal well based on the geological dessert level and the engineering dessert level corresponding to the reservoir. Therefore, the geological sweet spots can be accurately identified based on different data dimensions through the comprehensive indexes determined by the logging sensitive parameters having great influence on lithology and the logging sensitive parameters, collaborative evaluation is performed through the geological sweet spots and the engineering sweet spots, the reservoir capacity and the transformation capacity of the reservoir capacity are considered at the same time, and the accuracy of capacity prediction is remarkably improved.

The invention discloses a reservoir level prediction method based on reservoir capacity curve decoupling. The reservoir level prediction method comprises the following steps: 1, forming a sample set by a historical water level and a reservoir capacity sequence; 2, fitting a water level-reservoir capacity curve by using a polynomial; 3, solving an optimal fitting coefficient through a least square method, and establishing a relation curve; 4, calculating the reservoir capacity change in the rainfall period; 5, obtaining a rainfall net contribution amount; 6, calculating a theoretical response water level; 7, collecting historical data and selecting a core predictive factor; and 8, constructing and calibrating a water level prediction model. According to the method, the model which is clear in physical significance, easy and convenient to calculate and high in prediction precision is constructed, reliable technical support is provided for refined scheduling and flood prevention decision making of the reservoir, and therefore the problems that in an existing reservoir water level prediction model, a physical mechanism model is complex in structure, high in data dependence and low in calculation efficiency are solved; and a data-driven model is poor in interpretability, easy to be interfered by data noise and uncertain in generalization ability.

The invention belongs to the technical field of hydraulics, and particularly relates to an earth and rockfill dam overtopping dam break peak flow prediction method, which comprises the following steps: collecting a water level-area-reservoir capacity curve, a dam crest elevation and a dam site section reservoir bottom elevation data of a prediction target reservoir; according to the dam crest elevation and the water level-reservoir capacity curve, the reservoir capacity is obtained through linear interpolation, and the maximum dam break height is obtained by subtracting the dam site section reservoir bottom elevation from the dam crest elevation; according to the water level-area curve, converting the water level into false height by taking the reservoir bottom elevation as a reference surface, and fitting the false height to obtain a power coefficient; acquiring a flow coefficient by adopting a linear fitting mode according to the database data of the broken dam case; and predicting the reservoir dam break peak flow according to the breach peak flow calculation formula. The dam break peak flow prediction index provided by the invention is clear in physical significance, has a remarkable linear correlation characteristic with the dam break peak flow, is easy to obtain, and can be used as a trend analysis index to test the rationality of a calculation result.