29 results about "Reservoir storage" patented technology

The invention relates to the technical field of gas reservoir engineering and development, in particular to a dynamic correction method for the storage capacity of a gas storage of a condensate gas reservoir. Comprising the following specific steps: S1, based on a gas reservoir engineering method and geological data, calculating an original gas-bearing pore volume of a gas storage, and constructing an initial material balance model and various key parameters related to the initial material balance model; according to the method, through basic data collection and model construction, experimental determination and multi-path pore volume change calculation, and then model correction, parameter review, experimental simulation and final prediction and optimization, the storage capacity related parameters can be accurately calculated and corrected, the influence of various factors on the pore volume is effectively quantified, and the calculation efficiency is improved. Accurate prediction of the storage capacity change of the gas storage under future multi-cycle injection and production is achieved, injection and production parameters are optimized to remarkably improve the working gas amount and the storage capacity utilization rate, and good economic benefits and gas storage operation benefits are brought.

The present application provides a kind of shale gas dessert evaluation method based on methane carbon isotope in tank top gas, the shale gas dessert evaluation method includes the following steps: (1) obtain the tank top gas sample of logging, measure the methane carbon isotope value in tank top gas sample by time period;(2) the data sequence of different time periods of methane carbon isotope value obtained in step (1) is curve fitting;(3) the curve obtained in step (2) is sequentially integrated and differentiated, form the model algorithm of the characteristics of shale reservoir storage and desorption gas volume;(4) according to the model algorithm obtained in step (3), the quality of shale gas reservoir is classified, and the dessert interval is divided out.The evaluation method provided by the present application solves the technical problem of shale gas reservoir site dessert identification under the condition of no geological coring and no geophysical logging, improves the shale gas dessert drilling rate and single well development efficiency, and clarifies the related technical principles and technical routes, reduces the exploration cost, and improves the customer acceptance.

The earth and rockfill dam upstream face water taking construction equipment under the reservoir water storage condition comprises a water taking device, a plurality of water conveying pipes are connected to the water taking device, flange plates are installed at the two ends of each water conveying pipe respectively, and traction devices are erected outside the conveying pipes; a plurality of buttresses are arranged in the water taking device, a plurality of sliding rails are mounted on the buttresses, a sliding table is erected among the sliding rails, and a submersible pump is fixed above the sliding table; a carrying plate is arranged in the sliding table, a plurality of sliding blocks are installed below the carrying plate, a traction hanging frame is fixed between the rear surfaces of the sliding blocks, connecting blocks are installed on the surfaces of the sliding blocks, a rear shovel supporting block is fixed below the connecting blocks, a shovel plate is arranged in front of the rear shovel supporting block, and a plurality of auxiliary pulleys are installed on the rear shovel supporting block. According to the water taking method, construction is simple and effective, under the water storage condition of the earth and rockfill dam, in combination with the water level change condition from the flood season to the dry season, the earth and rockfill dam upstream face water taking project is implemented in stages, and raw water in the middle layer in a reservoir is obtained by a water plant.

This invention relates to the fields of reservoir scheduling, flood control and disaster reduction, and hydrological forecasting, and particularly to a method for calculating reservoir rainfall carrying capacity based on a dynamic runoff coefficient. The method includes the following steps: collecting data including the target reservoir's catchment area, characteristic water level, and water level-capacity relationship curves; establishing a dynamic equation for rainfall-runoff coefficient based on reservoir storage using the initial water level, characteristic water level, and storage capacity relationship curves; collecting and analyzing historical flood data for the target reservoir to generate parameter statistics tables for each flood event; establishing a dynamic equation for rainfall-runoff coefficient based on underlying surface conditions based on the parameter statistics tables for each flood event; and solving the dynamic equations based on reservoir storage and underlying surface conditions simultaneously. This invention relies on real-time water level and real-time rainfall to dynamically calculate reservoir rainfall carrying capacity, thus improving the accuracy of reservoir rainfall carrying capacity calculation.

The invention discloses a cascade reservoir joint compensation scheduling method considering flood sources and reservoir capacity levels, and belongs to the field of reservoir joint flood control scheduling. In order to solve the problems that a traditional scheduling strategy is poor in adaptability and a reservoir impounding role is fuzzy, the method is implemented through the following steps that the range of cascade reservoirs included in scheduling is determined, and engineering characteristic data such as flood control water levels and flood control high water levels are collected; calculating the amount of flood needing to be retained and stored based on the flood forecasting process of the downstream flood control point; a control reservoir and a matching reservoir are divided according to the hydraulic topological relation, the impounding capacity is distributed by combining the flood volume proportion of each reservoir and the remaining flood control reservoir capacity proportion, full-reservoir impounding distribution is completed through secondary distribution and recursion, the dispatching effect is checked, and the flow regulation and control factors are dynamically adjusted. The method is simple, practical, reasonable, reliable and capable of quickly adapting to different water regimes and work conditions, accurately positioning the reservoir retaining role, improving the overall flood retaining benefit of the cascade reservoir group, conforming to actual dispatching characteristics, being easy to popularize and providing scientific support for real-time dispatching decision of a reservoir operation management department.

The application discloses a long-term control method for cascade reservoirs based on long-series optimized scheduling sets, which comprises the following steps: establishing a restored data set, calculating reservoir storage influence, obtaining long-series restored inflow, performing optimized scheduling calculation according to the long-series restored inflow, and rolling determining the control water level and output of the cascade reservoirs according to the optimized scheduling scheme set; the application can obtain the long-term control water level and output plan of the cascade reservoirs, which has small scheduling risk, high multi-dimensional utilization target satisfaction degree, high reliability and conforms to the actual situation, and can be widely applied to production practice, especially the scheduling of large-scale cascade reservoir groups.

The invention discloses a productivity prediction method based on dynamic data constraint reservoir classification and a related device. The method comprises the following steps: dividing a PLT production logging test layer section into a plurality of liquid production contribution layer sections according to an analysis result of dynamic data of a plurality of wells subjected to PLT production logging; respectively determining a meter oil recovery index and a reservoir space type corresponding to the liquid production contribution interval; constructing a meter oil recovery index prediction model; determining the reservoir classification of the research strata series in the research well; and determining the productivity of the research well according to the reservoir classification and the predicted meter oil recovery index determined by the meter oil recovery index prediction model. The productivity prediction method based on dynamic data constraint reservoir classification disclosed by the invention has relatively high accuracy and good applicability, is convenient to popularize and apply, and effectively overcomes the defect that productivity evaluation cannot be performed or the productivity evaluation effect is poor under the condition that no DST test oil wells exist or few DST petroleum wells exist in the working condition.

The application provides a method for determining a scheduling mode of reservoir flood control storage capacity released in stages at the end of flood season, and relates to the technical field of reservoir scheduling. The method comprises the following steps: collecting and arranging basic data, including hydrological and meteorological data, information of flood protection objects downstream, and data of reservoir scheduling parameters; determining a release time of reservoir flood control storage capacity based on multiple factor conditions; determining a release discrimination index of reservoir flood control storage capacity according to water level characteristics of a flood control station; carrying out risk analysis and risk atlas drawing of reservoir flood control storage capacity release; and determining a recommended flood control storage capacity release scheduling mode according to the flood control risk atlas. The application determines the release time of reservoir flood control storage capacity and the corresponding discrimination index by comprehensively considering multiple factor conditions, and draws a downstream flood control risk atlas on the basis of flood regulation calculation, and finally determines the recommended flood control storage capacity release scheduling mode in stages, which is of great significance for flood resource utilization at the end of flood season, improvement of reservoir storage guarantee rate, guarantee of downstream flood control safety and water safety.

This invention relates to the fields of water conservancy and hydropower construction and soil and water conservation, and discloses a ditch-type spoil heap, including a ditch, a spoil retaining dam, and an in-reservoir storage area. The spoil retaining dam is located downstream of the ditch, and the in-reservoir storage area includes a first storage area and a second storage area. The first storage area is located upstream of the spoil retaining dam and can be used for storing rocky spoil; the second storage area is located upstream of the first storage area and can be used for storing soil spoil. During spoil heaping, the upstream slope of the spoil retaining dam forms the first storage area for storing rocky spoil, and the upstream side of the first storage area forms the second storage area for storing soft clay spoil. This achieves large-capacity storage of soft clay, improves the space utilization rate of the spoil heap and the capacity for disposing of engineering spoil. By adopting a classified and zoned storage method, the risk of siltation and water environment deterioration downstream of the second storage area is reduced, thus controlling soil erosion at its source. This invention also provides a spoil heaping method.

The present application relates to the technical field of flood control optimal scheduling, in particular to a reservoir group flood control optimal scheduling method and system based on quadratic programming, the method comprising the following steps: according to the water conservancy facilities and hydrological elements in the basin, the system sorts out the spatial distribution of key nodes and their hydraulic connection, constructs a flood control scheduling topological network, and obtains a reservoir group flood control optimal scheduling topological graph; a reservoir group flood control optimal scheduling quadratic programming model is established according to the reservoir group flood control optimal scheduling topological graph; based on the MINOS library of GAMS, the least gradient method and quasi-Newton method are used to optimize and solve the reservoir group flood control optimal scheduling quadratic programming model. The present application couples the propagation of flood between reservoir groups in the mathematical equation set, avoids complex simulation sequential coding, is easy to model, has good universality, and the model is easy to seek an optimal solution, can balance the reasonable scheduling of the flood control capacity, peak shaving effect and reservoir storage capacity of the reservoir, and improve the accuracy and efficiency of flood regulation.

This invention relates to a method and system for water resource adaptation management with coordinated supply and demand in the context of climate change. Belonging to the fields of automatic control and electronic digital data processing, the method utilizes real-time sensing of climate prediction data and hydrological monitoring data, and dynamically adapts to changes in climate factors using inflow and demand correction models to achieve accurate prediction of future water resource conditions. The prediction results are then input into a control decision model to construct a multi-objective optimization problem aimed at balancing supply and demand and maximizing reservoir storage capacity. This problem generates coordinated supply and demand control commands for directly driving physical actuators. Finally, the commands are transmitted via a communication network to a control actuator network consisting of reservoir gates and pipeline valve groups, driving their execution and completing closed-loop control of the water resource system. This invention effectively improves the dynamic adaptability, robustness, and control accuracy of the water resource control system to climate change through climate correction, coordinated supply and demand optimization, and adaptive learning.

The invention discloses a hydroelectric medium and long term plan rolling compilation method, system and device and a medium, and the method comprises the steps: collecting multi-source data of a power system, and carrying out the preprocessing of the multi-source data, and obtaining standard data; constructing and solving a medium and long term power system optimization model based on the standard data, and outputting an annual unit start-stop plan and a reservoir capacity plan; taking the annual unit start-stop plan and the reservoir capacity plan as boundary conditions, constructing and solving a short-term plan stage optimization model, and outputting a weekly unit time sequence output plan; the fluctuation of loads and renewable energy sources is synchronously introduced based on a weekly unit time sequence output plan, and a short-term peak regulation stage optimization model is constructed and solved. According to the method, a complete constraint condition system including a water-electricity conversion relation, water balance, a unit output range and the like is set, so that an optimization scheme is ensured to conform to a physical law of a power system; and finally forming a power generation plan scheme considering safety, economy and clean energy consumption through a step-by-step refined optimization process.

The invention provides a reservoir discharge flow continuous prediction method and device, and belongs to the field of basin hydrological simulation. The method comprises the steps of obtaining daily reservoir storage flow, total reservoir storage flow, water taking amount and timestamps corresponding to each day of a to-be-predicted time period, respectively normalizing the daily reservoir storage flow, the total reservoir storage flow of one month, six months, one year, two years and five years in the past, constructing a first input feature data set, and then inputting a reservoir water storage model to obtain a second input feature data set; obtaining a prediction result of the reservoir water storage and the reservoir water level at the beginning of each day; and constructing a second input feature data set after standardizing the reservoir inflow rates of the to-be-predicted time period every day and the first two days, the total reservoir inflow rates of the past one month, six months, one year, two years and five years, the water taking amount, the timestamps and an output result of the reservoir water storage model, and inputting the second input feature data set into the reservoir outflow model to obtain a reservoir outflow rate sequence of the to-be-predicted time period. The method obviously improves the accuracy of continuously predicting the reservoir outlet flow, and is suitable for the condition of lacking continuous water storage observation data.

This invention relates to the field of hydropower energy optimization technology, specifically to a method, system, equipment, and medium for predicting the power generation capacity of cascade hydropower in a river basin based on the concept of energy banks and multi-dimensional feature engineering. The method first clearly defines the cascade hydropower generation capacity applicable to market analysis, defining it as an optimization problem of maximizing power generation under consideration of reservoir storage, future inflow, and multiple engineering constraints. Secondly, it establishes multi-dimensional feature engineering from four levels to provide high-quality input for subsequent accurate prediction. Finally, it establishes a TQnet model to capture the complex multiple periodicities, long-range dependencies, and key influencing factors in the power generation capacity sequence, achieving accurate prediction.

The invention relates to a reservoir scheduling method and system, an intelligent terminal and a storage medium, and relates to the technical field of hydrological prediction, and the method comprises the steps: obtaining the current storage capacity and normal storage capacity of a target reservoir; collecting the water collecting area of the target reservoir; calculating a net rain value according to the rainfall in the unit time length; calling a first calculation formula to perform data processing on the ponding area and the net rain value to obtain the total incoming water amount of the drainage basin; collecting the discharged water amount and the water storage amount of the target reservoir; calling a second calculation formula to perform data processing on the total incoming water amount of the drainage basin, the discharged water amount and the water storage amount of the reservoir to obtain a future water amount; a third calculation formula is called, data processing is conducted on the future water volume, the current reservoir capacity and the normal reservoir capacity, the abandoned water volume of the target reservoir is obtained, and the abandoned water volume refers to the discharged water volume of the target reservoir in the unit duration. The method has the effect of improving the reasonability of reservoir scheduling.

The application provides a reservoir storage capacity calculation method based on SWOT satellite pixel cloud and DEM, comprising the following steps: S1, extracting the reservoir water body range according to multi-source remote sensing images; S2, using the extracted reservoir water body range to mask the non-water body pixels in the SWOT satellite pixel cloud data, and carrying out noise filtering and abnormal value removal on the water surface pixel cloud elevation data; S3, aggregating the de-noised water surface pixel cloud elevation data to a regular grid of 30m according to the spatial position, and using the IDW method to interpolate the un-aggregated grid, so as to generate a continuous high spatio-temporal resolution reservoir water surface elevation grid; S4, using the high spatio-temporal resolution reservoir water surface elevation grid and DEM to calculate the reservoir storage capacity. The method provided by the application can ensure the scientific representativeness of the reservoir storage capacity calculation result, and also provides a new idea and a new technical paradigm for remote sensing driven reservoir storage capacity monitoring, and promotes the application of the SWOT satellite in reservoir regulation and fine water resource management.

The application discloses a kind of pumped storage unit operation control method and system, wherein the method includes screening new energy unit output data and future weather data, obtains new energy output prediction result according to the multi-source prediction dataset constructed by screening result;Determine each data subset of load data under different dimensions, input each data subset into corresponding prediction model, obtain medium and long term load prediction result;Load data and future weather data are input into short-term load prediction model to obtain short-term load prediction result;Determine optimal reservoir storage target curve based on new energy output prediction result and medium and long term load prediction result, and determine optimal unit output result based on new energy output prediction result and short-term load prediction result;The operation control strategy generated by optimal reservoir storage target curve and optimal unit output result is executed.The method of the application realizes the operation optimization control of pumped storage unit.

The invention discloses a construction method of an overwater steel platform, which can reduce the construction difficulty of the overwater steel platform, improve the construction efficiency of the overwater steel platform and reduce the influence of flood season, reservoir water storage and other adverse weather on the construction of the overwater steel platform, thereby improving the construction efficiency of a wharf platform. The construction method comprises the steps that the longitudinal steel platform is constructed from the shore side to the water side; a transverse steel platform is constructed on a preset part in the length direction of the longitudinal steel platform, the transverse steel platform is perpendicular to the longitudinal steel platform, and the transverse steel platform is arranged along the river; marking one or more construction point positions in the length direction of the transverse steel platform; and the wharf steel platform is constructed at the construction point positions marked on the transverse steel platform in a transverse propelling mode, the wharf steel platform is parallel to the transverse steel platform, and the wharf steel platform is transversely propelled from the water side of the transverse steel platform.

The invention relates to the technical field of ecological environment monitoring, and discloses a method and a system for correcting water temperature in a reservoir. The method comprises the following steps: firstly, calculating an initial monthly mean value of the water temperature of the storage water, and forming a first vector by the initial monthly mean value; establishing a reservoir water temperature model; calculating a monthly mean value of the first discharged water temperature according to the initial value of the monthly mean value and a reservoir water temperature model, and forming a second vector by the monthly mean value of the first discharged water temperature; determining an in-storage water temperature influence coefficient matrix; calculating an in-storage water temperature correction value according to the in-storage water temperature influence coefficient matrix, the first vector, the second vector and the actually measured discharge water temperature monthly mean value; obtaining a third discharged water temperature monthly mean vector based on the reservoir water temperature correction value and a reservoir water temperature model; and determining an error between the actually measured monthly mean value of the discharged water temperature and the monthly mean value vector of the third discharged water temperature, and if the error is smaller than a set value, ending calculation. In this way, a reservoir water temperature correction scheme is provided based on the reservoir water temperature simulation analysis model, and the analysis precision can be effectively improved.

The invention provides an irrigation reservoir runoff adjusting method and system, a storage medium and electronic equipment, and the method comprises the steps: collecting historical basic data of a target irrigation reservoir, the historical basic data comprising runoff data, irrigation water demand data, water level-reservoir capacity relation data and reservoir loss data; on the basis of the historical basic data, runoff regulation calculation is carried out period by period by adopting a long-series time history method, so that the benefit-making reservoir capacity meeting the preset irrigation guarantee rate is determined; and determining the benefit-making reservoir capacity meeting the preset irrigation guarantee rate as the final benefit-making reservoir capacity of the target irrigation reservoir. According to the method, the storage and discharge process of the reservoir can be continuously calculated by using the long-series time history method at the initial stage of reservoir design when no topographic data is observed, so that the method is more in line with the normal use state of the reservoir, and runoff regulation can be more accurately carried out.

The invention discloses a shale oil reservoir seepage space accurate characterization method and system based on multi-scale imaging fusion, and relates to the technical field of oil and gas geology and reservoir characterization. According to the method, the three-dimensional structure of the reservoir and seepage space of the shale oil reservoir is reconstructed by fusing the multi-scale image data, and the physical property data is introduced on the basis of the image data, so that the physical constraint is added for reconstructing the three-dimensional structure, and the reservoir and seepage space three-dimensional structure model under the physical constraint is generated; and the reservoir seepage space of the shale oil reservoir can be accurately represented through visualization and quantitative description. According to the method, limitation of traditional single-scale representation is broken through innovatively, fusion of multi-scale imaging data and three-dimensional reconstruction under physical constraints are achieved, and continuity, authenticity and accuracy of shale oil reservoir seepage space representation are remarkably improved.

The invention discloses a linearization method of a reversible pumped storage power station dispatching operation model. Comprising the following steps: sequentially carrying out linearization processing on a nonlinear part containing an absolute value in a reversible pumped storage power station dispatching operation model, carrying out linearization processing on a nonlinear part containing a quadratic term in a reservoir capacity curve, and carrying out linearization processing on an operation state constraint of a pumped storage reversible unit; and carrying out linearization processing on a pumped storage reversible unit power generation output function, carrying out linearization processing on a pumped storage reversible unit power generation output vibration area, and carrying out linearization processing on a part containing an extreme value function. According to the method, a complex scheduling model is integrally converted into a standard mixed integer linear programming model, so that an efficient commercial solver can be directly utilized for rapid solving, and the generation efficiency and stability of the pumped storage power station optimization scheduling scheme are remarkably improved on the premise of ensuring the model precision.

The application provides a reservoir landscape display system, comprising a database and a VR display subsystem; the database is used for storing a three-dimensional model of a reservoir and real-time water regime; the real-time water regime at least comprises a real-time water level; the VR display subsystem is used for determining a latest virtual inundation boundary by using a water-land junction line algorithm based on the real-time water level, and dynamically adjusting a display area of a landscape element affected by the water level in the three-dimensional model based on the latest virtual inundation boundary, so as to generate a virtual reservoir landscape changing with the water level. Real-time dynamic response of the virtual landscape changing with the real water level is realized, and the sense of reality of virtual touring for the special scene of the reservoir landscape is improved.

The invention discloses a reservoir capacity curve adaptive fitting method and system based on terrain complexity, and relates to the technical field of reservoir dispatching, and the method comprises the steps: calculating a local terrain complexity index at each data point based on a historical water level capacity observation data sequence of a target reservoir; based on an improved density clustering algorithm, grouping the historical water level storage capacity observation data sequence according to a local terrain complexity index to obtain a plurality of clustering groups; determining a fitting model corresponding to each clustering group based on a complexity interval in which the local terrain complexity index corresponding to each clustering group is located; based on the fitting model corresponding to each clustering group, reservoir capacity curve fitting is carried out on the corresponding clustering group, and fitting segments corresponding to different fitting models are obtained; and smooth fusion and curve splicing are carried out on the boundaries of different fitting sections to obtain a target reservoir capacity curve corresponding to the target reservoir. The technical problem that a traditional static storage capacity table is difficult to reflect the real-time state is solved.

The application relates to the technical field of reservoir management, and discloses a reservoir storage capacity calculation method, device, equipment and medium. The method comprises the following steps: obtaining digital elevation model data of a target reservoir, three-dimensional point cloud data of a region above a current water surface of the target reservoir, and spatial information below the current water surface; target three-dimensional elevation structure data in a target reservoir region range is calculated; first hydrological water quality parameter information of a section upstream of an inlet of the target reservoir and second hydrological water quality parameter information of an outlet are monitored; target reservoir current calibrated reservoir storage capacity information is calculated according to the target three-dimensional elevation structure data and water level height information of the outlet; a target reservoir bottom newly added silt volume quantity value is calculated according to the first and second hydrological water quality parameter information; and actual reservoir storage capacity information is calculated according to the reservoir storage capacity information and the target reservoir bottom newly added silt volume quantity value. The technical scheme significantly improves the scientificity and safety of reservoir operation management.

This disclosure relates to a method, apparatus, equipment, and medium for predicting hydrogen sulfide content in a sulfur-bearing gas reservoir. The method includes: dynamically transforming the initial gas reservoir parameters based on preset value ranges for various types of parameters in the initial gas reservoir parameters to generate multiple sets of gas reservoir parameters; performing periodic component numerical simulations on the multiple sets of gas reservoir parameters using a numerical simulation device to generate multiple hydrogen sulfide content variation parameters corresponding to each set of gas reservoir parameters; using the multiple sets of gas reservoir parameters and their corresponding multiple hydrogen sulfide content variation parameters as a data training set to generate a hydrogen sulfide content prediction model for the sulfur-bearing gas reservoir; inputting the gas reservoir parameters of the sulfur-bearing gas reservoir to be predicted into the hydrogen sulfide content prediction model to generate a hydrogen sulfide content prediction result. Thus, based on the hydrogen sulfide content prediction model, the hydrogen sulfide content in the gas reservoir can be predicted quickly and accurately, improving the prediction accuracy of hydrogen sulfide content in the gas reservoir.

This invention discloses a method and system for simulating the influence of magnetic field gradient on nuclear magnetic resonance (NMR) spectra, belonging to the field of oil and gas reservoir exploration and development technology. This method constructs original two-dimensional NMR spectra based on the components in the rock mass. T 1- T Two spectral models were developed and the expression for the NMR signal without magnetic field gradient interference was determined. A magnetic field gradient was then introduced into the NMR signal expression, and the two-dimensional NMR was analyzed. T 1- T The spectral model was forward modeled to obtain echo data under different magnetic field gradients; the echo data under different magnetic field gradients were then inverted to obtain two-dimensional nuclear magnetic resonance imaging (NMR) data under the influence of magnetic field gradients. T 1- T 2 spectra, combined with the original two-dimensional nuclear magnetic resonance. T 1- T A two-dimensional nuclear magnetic resonance (NMR) model is used to determine the response patterns of components and identify the components within the rock mass based on these patterns. This method analyzes the influence of magnetic field gradients on two-dimensional NMR spectra and identifies fluids within the rock mass based on the response patterns, enabling accurate evaluation of reservoir storage capacity and development potential.

The invention relates to the field of water treatment, in particular to a seawater desalination pool and method.The seawater desalination pool comprises a waterfall pool, a waterfall platform is arranged on the waterfall pool, a water pump is arranged at the top of the waterfall platform and used for pumping seawater to the waterfall platform, a plurality of first air pumps are arranged on the waterfall platform, and the first air pumps are used for generating airflow acting on the top of the waterfall platform and flowing down the seawater; a water outlet of the waterfall pool is communicated with a desalting system, and the desalting system is used for reducing salt of flowing seawater to obtain desalted seawater; a water outlet of the desalination system is communicated with a reservoir, a gate is arranged at the communication position of the desalination system and the reservoir, an air suction port of the first air pump is communicated with the top of the reservoir, and the first air pump is used for reducing air pressure in the reservoir so that the dissolved oxygen content of desalted seawater in the reservoir can be reduced. With the adoption of the technical scheme, the seawater on the waterfall platform is subjected to oxygen exposure by pumping out the air of the water storage reservoir, so that the seawater is fully oxidized before salt desalination, and the steel bar corrosion of the concrete is subsequently delayed by reducing the salt and oxygen.

The invention provides a method for determining the critical overtopping flood scale of a reservoir dam, and belongs to the technical field of water conservancy project evaluation, and the method comprises the steps: S1, obtaining key basic data of a reservoir; s2, fitting the flood peak flow data and the flood process detailed data of the flood in different recurrence periods to obtain a corresponding flood flow hydrograph Q in (t); s3, a certain flood flow hydrograph Q < in > (t) is combined with the water level-reservoir capacity-floodway discharge capacity curve to obtain a corresponding flood regulation discharge flow hydrograph Q < out > (t); s4, judging whether the flood process is critical overtopping flood or not by utilizing the flood flow hydrograph Q in (t) and the flood regulation discharge flow hydrograph Qout (t); and S5, outputting the flood parameters of the critical overtopping flood. According to the method, the reservoir inventory and the critical overtopping flood scale are combined, and the flood parameters can be accurately determined.