34 results about "Flood flow" patented technology

The invention belongs to the technical field of hydrological forecasting, and relates to a reservoir flood peak flow and time prediction method and system considering rainfall center movement. The method comprises the following steps: acquiring topographic data, historical meteorological data and historical runoff data of a target drainage basin; the target drainage basin is divided into a plurality of sub-drainage basins based on topographic data, hydrological models are constructed respectively, and parameters of the hydrological models of the sub-drainage basins are calibrated through historical meteorological data and historical runoff data; acquiring a moving track and rainfall intensity change of a rainfall center of the target drainage basin and real-time meteorological data and real-time runoff data of each sub-drainage basin, and inputting the moving track and the rainfall intensity change and the real-time meteorological data and the real-time runoff data into a hydrological model of the corresponding sub-drainage basin to obtain flood flow hydrograph corresponding to rainfall of a plurality of preset time steps; and superposing the flood flow hydrograph of a plurality of preset time steps to obtain a reservoir flood peak flow and time prediction result. According to the method, the flood prediction precision and reliability are improved, and a scientific basis is provided for flood scheduling and safety management of the hydropower station.

The invention provides a landslide river blocking disaster chain analysis method, device and system and a storage medium. The method comprises the steps of obtaining a numerical calculation model of a landslide mass according to three-dimensional terrain of a landslide drainage basin and geological structure data of a landslide area; determining a dam body geometric model and dam body data of the barrier lake according to the numerical calculation model of the landslide mass and a barrier body formed after the river is blocked by the landslide mass; determining the water blocking and submerging range of the upstream of the barrier lake; according to the water on the upstream of the barrier lake, the submerging range and the upstream hydrodynamic environment, a barrier body outburst flood flow-time relation curve is obtained; and according to the dam body outburst flood flow-time relation curve and a preset hydrological 2D hydrodynamic coupling method, the dam lake recession process and / or the downstream flood flooding disaster process in the dam body outburst process are / is calculated. According to the embodiment, decoupling and recoupling analysis can be carried out on different stages of the disaster chain, and the effect of accurately analyzing the process of each stage of the disaster chain is achieved.

The invention discloses a flood classification method and system based on dynamic time warping and multi-cluster coupling. The method comprises the following steps: firstly, collecting and processing flood flow time sequence data to obtain a data set composed of standardized floods; secondly, calculating the similarity between every two of the K floods by adopting a dynamic time warping method to form a similar matrix; and flood classification is carried out based on DTW coupling hierarchical clustering and K-medoids multi-clustering. The system comprises a data acquisition module, a data preprocessing module, a comparison module and a classification output module. According to the method, hierarchical clustering is optimized again, and a multi-clustering method is combined, so that the reasonability of flood classification is improved, and the accuracy of flood classification is improved. The method can be applied to the fields of flood early warning, flood control dispatching and the like, and has important practical value and social significance.

The application discloses a kind of automatic realization small watershed mountain torrent flood flow and inundation prediction method, including steps: step S1, the parameters of the preset basin are obtained, including grid water flow direction, grid slope, basin river network, river network width;Step S2, the CN value and K value of each grid in the preset basin are obtained;Step S3, the flow and confluence of each grid in the preset basin are calculated;Step S4, a mountain torrent inundation model based on the open source model LISFLOOD-FP is constructed;Step S5, the basin flow prediction value and flood inundation range are automatically calculated and output by the mountain torrent inundation model.The present application can realize the automatic real-time prediction from rainfall to flow prediction to inundation range.

A hydrometeorological coupling forecasting and warning system relates to the technical field of hydrology, water resources and meteorological forecasting. It constructs a visual map of geographical elements in a target area; constructs a hydrometeorological prediction model to output initial hydrometeorological prediction data; performs ultra-short-term difference detection on the initial hydrometeorological prediction data in combination with the hydrometeorological data collected at each real-time monitoring point, and adjusts the initial hydrometeorological data hour by hour based on the ultra-short-term difference detection result; constructs a coupling feature database, performs coupling analysis on multiple feature parameters of several historical collection cycles, and obtains the coupling coefficient between different precipitation feature parameters and flood flow level under different terrain feature parameters and water level feature parameters; obtains the flood flow level of each grid in the target area; and constructs a risk warning visual map based on the flood flow level of each grid, so that decision makers can quickly grasp the overall risk distribution, formulate emergency plans and allocate resources more efficiently, and improve the overall emergency management level.

The invention relates to the technical field of flood prediction, solves the problem in the prior art that calculation of the total flow of a downstream section deviates due to neglect of superposition influence of reservoir flood during evolution along a river channel, and particularly relates to a reservoir dam break flood prediction method. Comprising the following steps: obtaining an initial parameter set of dam body parameters, hydrological parameters, terrain parameters and breach characteristic parameters of the rigid dam, preprocessing the initial parameter set to obtain a standard parameter set, and calculating a breach development rate and a breach width ratio when the rigid dam is identified as an instantaneous dam break according to the standard parameter set, and the instantaneous dam break is divided into a plurality of dam break sub-types in combination with the residual dam height proportion. According to the method, accurate time sequence superposition of the dam break flood and the reservoir flood is achieved, the calculation accuracy of the total flow of the downstream section is improved, the calculation result of the total instantaneous flow and the maximum flow of the downstream target section at any moment better fits the actual incoming flow condition, and integrated accurate prediction of the dam break flood flow, the propagation time and the downstream water level is achieved.

The invention discloses a dam break flood emergency monitoring method and system, and particularly relates to the technical field of flood monitoring. The method comprises the following steps: acquiring real-time topographic change data and hydrological data of a breach and a downstream area at the initial stage of dam break flood, and constructing initial dynamic evolution data of a dam break flood flow channel; the nonlinear bifurcation position of the flood flow channel is identified through a topology analysis method, and nonlinear bifurcation topology feature data is formed; spatial distribution of a sediment accumulation area and an erosion area in the flood flow channel is analyzed based on coupling of sediment migration, and an abnormal bifurcation path of the flood flow channel is determined; acquiring water flow velocity, water level height and sediment concentration data on the abnormal path in real time, and generating abnormal path real-time monitoring data; analyzing a flood diffusion trend according to the abnormal path real-time monitoring data, and generating an emergency response early warning instruction; according to the invention, the monitoring accuracy and the emergency disposal capability of dam break flood disasters are improved.

This invention proposes a regional flood volume estimation method based on the fusion of multi-source satellite remote sensing images and DEM (Digital Elevation Model). Utilizing flood extent extraction results based on multi-source SAR and optical satellite data, the water surface elevation is adaptively determined within a local neighborhood, avoiding systematic biases introduced by the global assumption. A high-resolution water depth distribution map is constructed by traversing the regional flood extent through a sliding window, and then the total flood volume is obtained by summing these maps. This method requires no hydrological station network calibration and only two types of basic data: multi-source satellite remote sensing images and DEM, enabling rapid estimation of flood discharge from remote sensing observation data. This invention overcomes the systematic biases of the global constant water surface elevation assumption in complex terrain, achieving rapid and high-precision estimation of flood volume in areas without a hydrological station network through local adaptive water depth inversion.

The invention discloses a rainfall data scarce coastal port-oriented flood risk assessment method and system, and relates to the technical field of port flood control engineering and hydrological simulation, and the method comprises the steps: obtaining rainfall data, basic data, other data and a port facility distribution diagram of a target port; obtaining a corrected design rainstorm hydrograph based on the rainfall data; based on the designed rainstorm hydrograph and the basic data, rainfall-runoff simulation is carried out, and a flood flow hydrograph is obtained; obtaining a port inundation simulation result based on the flood flow hydrograph and other data; and based on the port inundation simulation result, inundation indexes are extracted and combined with the port facility distribution map to generate a flood risk assessment report. The whole process simulation from rainfall to port submerging is realized, so that the comprehensiveness and accuracy of flood risk assessment are improved.

The invention relates to the technical field of water conservancy emergency risk analysis, and provides a seismic station dike breach outburst process and flood flow monitoring method, which comprises the following steps: S1, model establishment: establishing a three-dimensional model of a dike by using a three-dimensional reconstruction technology; s2, sampling analysis: sampling silt in a defence lifting area, carrying out soil test analysis on the sample, and calculating density and a non-uniform coefficient; s3, calculating outburst parameters; s4, calculating a ratio coefficient; and S5, calculating an increment. According to the invention, the collapse and slide dike outburst process is monitored based on the seismic station, so that the large collapse time, the impact energy ratio coefficient and the large collapse scale of the barrier dam can be obtained; through flood increment fitting calculation, the large flood increment and time of the breach are obtained, and data support is provided for downstream prevention and control of dike burst.

The present application relates to the technical field of hydrology and hydraulics, and discloses a method, device, equipment, medium and product for calculating river diversion ratio, comprising: obtaining water and sediment, terrain, terrain data corresponding to different working conditions and flood flow of a target river section; calculating water and sediment, terrain data and flood flow under a fixed bed to obtain first hydrological information of the river section in a future period; under a movable bed, calculating daily water and sediment, terrain data corresponding to each working condition scheme and flood flow to obtain second hydrological information of the river section in the future period under different working conditions and at each flood flow occurrence; dividing the river section into sub-sections and calculating flow according to the first and second hydrological information, respectively, and determining first and second diversion ratios according to the flow ratio of the sub-sections; and determining a target river section regulation scheme according to the first diversion ratio and different second diversion ratios. The method realizes the comparison of diversion ratios of future river sections under fixed bed and movable bed working conditions.

The invention relates to the technical field of hydrology and waterpower, and discloses a method, a device, equipment, a medium and a product for calculating a river diversion ratio, and the method comprises the steps: obtaining water and sediment, terrain, terrain data corresponding to different working conditions and flood flow of a target river reach; calculating water and sediment, topographic data and flood flow under a fixed bed to obtain first hydrological information of a river reach in a future time period; under the moving bed, calculating daily water and sediment, topographic data corresponding to each working condition scheme and flood flow, and obtaining second hydrological information of the river reach in a future time period when each flood flow occurs under different working conditions; according to the first hydrological information and the second hydrological information, the river channel section is divided into sub-sections, the flow is calculated, and a first split ratio and a second split ratio are determined according to the sub-section flow ratio; and determining a target river reach regulation and control scheme according to the first split ratio and the different second split ratio. The split ratio of a future river channel under the fixed bed and movable bed working conditions is compared.

The invention relates to a multi-scale progressive short-term flood intelligent early warning method, device and equipment and a medium, and the method comprises the steps: obtaining rainfall forecast data of a target region within a preset time period, and driving a low-resolution numerical model to carry out the numerical calculation, thereby obtaining a first-resolution flood flow field prediction result, performing partition parallel computing by using a preset model to obtain a second-resolution flood flow field prediction result, enhancing the local flood flow field resolution by using another preset model to obtain a third-resolution flood flow field prediction result, and obtaining a third-resolution flood flow field prediction result on the basis of a pixel range. And determining a current early warning level of the target area according to the maximum water depth information and the maximum flow velocity information, so as to carry out flood early warning according to the current early warning level. Therefore, the problems of low flood early warning calculation efficiency, insufficient foreseeability and data fusion and the like are solved, and a progressive system of local refined flood early warning, rapid trend analysis, accurate disaster reminding and directional early warning release is realized for dynamic scene requirements of flood.

The invention discloses a multi-scale incoming water sequence generation method and system considering runoff change characteristics, and the method comprises the steps: building annual and monthly incoming water joint distribution based on a Copula function, carrying out the monthly average flow estimation under different incoming water frequencies, and obtaining a monthly scale runoff process; secondly, respectively carrying out feature extraction on more than ten-year flood and small-scale flood to obtain session flood flow hydrograph of different durations; thirdly, session floods with different durations and flood volumes are combined, the occurrence time of the floods is adjusted, superposition is carried out to obtain a high-water-period inflow water sequence closest to the historical flood form, in-month flow distribution is carried out, and the inflow water scale of a key month of the flood season is shortened to the daily scale; and finally, combining the monthly-scale dry-season flow with the daily-scale wet-season flow to obtain a monthly-daily mixed-scale annual water sequence considering runoff change characteristics.

The invention provides a multi-disaster multi-mode flood flow intelligent monitoring and early warning method, system and device, and relates to the field of disaster early warning. Establishing a rainstorm-runoff coupling model for predicting the surface runoff yield, the confluence time and the runoff peak value based on the soil water content, the vegetation coverage and the surface slope data under different rainfall capacities; constructing a river channel confluence coupling model based on the flow velocity, the water level and the section form of river channel section monitoring for predicting river channel flood confluence time, confluence amount and on-way water level change; judging whether there is a riverway confluence risk according to the real-time predicted riverway flood confluence time, confluence amount and on-way water level change; when the riverway confluence risk exists, the flood inundation range, the water depth distribution and the evolution speed are predicted through a pre-trained flood evolution coupling model based on the surface runoff, the confluence time and the change speed of the runoff peak value in combination with the landform data. According to the invention, the accuracy, timeliness and reliability of disaster early warning can be improved.

The invention belongs to the technical field of flood forecasting, and particularly relates to a method for calculating a wavefront water level through sudden flood forecast flow, which comprises the following steps: acquiring hydrological observation and forecast data of session flood in real time, and determining a fixed node for wavefront water level forecast calculation; determining whether the forecast initial flow needs to be corrected; determining an initial flow correction control node for initial flow correction; converting the forecast traffic into adaptive traffic; filtering the adaptive traffic to generate first adaptive traffic; converting the first adaptive traffic into second adaptive traffic; calculating a first water level; converting the first water level into a first corrected water level; calculating a second water level; converting the second water level into a second corrected water level; calculating a water surface gradient process; and ending the flood wavefront water level forecasting operation of the session, and outputting a wavefront water level forecasting calculation result. According to the method, two wavefront flood flow hydrographs and corresponding water level hydrographs can be generated, and the technical level of flood wavefront water level forecasting is effectively improved.

The utility model provides a cross-channel relay type drainage structure which is characterized in that a first water blocking unit is arranged at the upstream position of an occupied position in a drainage channel; the drainage channel adjacent to the drainage channel is determined, and a drainage opening with the terrain lower than that of the first water blocking unit is determined in the drainage channel; the non-pressure drainage hole is formed between the first water blocking unit and the drainage opening of the drainage channel. According to the cross-channel relay type drainage structure provided by the utility model, by adopting the relay arrangement of water retaining and drainage measures, the requirement of the drainage channel for carrying out cross-channel flood drainage on upstream incoming water for protecting downstream buildings is met, and meanwhile, the problem that the flood flow exceeds the flood drainage flow of the original channel when the drainage channel corresponds to the flood control standard is solved. The structure is easy to construct and low in manufacturing cost, meanwhile, the environment is protected, and the risk of water and soil loss is reduced. The method can be widely applied to cross-channel drainage projects.

The invention relates to an effective defense posture formation evaluation method and system for simulating mountain torrents, and belongs to the technical field of simulation devices. The method comprises the steps that the sectional area and flow data of a circulating water tank are obtained, a flood flow model is established, and constant flow velocity analysis is conducted on the flood flow to obtain comprehensive simulation flow; flow path data and flow area of the simulated flood are obtained, a true water environment drilling device is established, and a stress matrix for resisting the flood impact force is calculated; setting a formation for resisting water level burst to obtain a test set, and testing the test set according to the stress matrix to obtain ideal position data; position estimation is carried out on personnel positions of all the formations in the test set through the wireless sensor network to obtain position data, and the effective defense degree of all the formations in the test set is evaluated by calculating distance measurement of the position data and ideal position data. The flood outbreak is simulated, the effective formation defending posture is evaluated, and the correct formation and coping strategy for defending the water level outbreak are mastered.

This invention provides a real-time flood forecasting method for small and medium-sized rivers. The method includes preprocessing actual flow data and actual watershed rainfall data from flow measurement stations over past periods to obtain historical flow and rainfall sequences; determining a forecasting model matching the flow measurement stations based on their upstream deployment; when rainfall is expected in the future, invoking the forecasting model to read the historical flow, historical rainfall, and future rainfall forecast sequences, with the output being the flood flow forecast sequence for the flow measurement stations in the future period; and updating the historical flow, historical rainfall, and future rainfall forecast sequences input to the forecasting model based on a preset rolling period to continuously update the flood flow forecast sequence. This method improves the timeliness and operational adaptability of flood forecasts.

The invention relates to the technical field of flood control, in particular to an urban flood influence degree evaluation method and electronic equipment. The evaluation method comprises the following steps: establishing a three-dimensional model of an object area, and dividing the three-dimensional model into a plurality of unit areas in a horizontal plane; according to the three-dimensional model, the circulation range of water in the object area at different heights is determined; determining a flood source input port in the three-dimensional model, and determining the flood flow of the flood source input port; on the basis of the flood flow, determining hydrodynamic data of each unit area through a continuity equation in the circulation range; and determining the propagation condition of the flood in the object area according to the hydrodynamic data of each unit area, and determining the influence degree of the flood on the object area according to the propagation condition. According to the method, more accurate flood influence evaluation can be carried out on a complex urban system, the flood control and disaster reduction capability of a city can be improved, reference can be provided for urban planning and infrastructure design, and further optimization of flood control means is facilitated.

This invention provides a method for preventing flash floods based on flow control, including determining the maximum allowable flow rate of a river section, the maximum allowable discharge flow rate of each tributary, the design flow process of the tributaries, and the method for regulating water volume. Based on the above information, it also presents the design concept for the orifice size of the control dam used in this measure. Compared with the current common method of simply raising the levee standards of urban river sections to resist flash floods, this method only changes the flow process when the flood flow exceeds the design standard, without changing the flow process of the tributaries at other times, thus avoiding long-term inundation; it only requires the construction of the dam body, without the need for gates or other control facilities, resulting in low investment; it eliminates operational scheduling issues, effectively reducing urban flash flood losses and achieving high overall benefits; after the flood, only possible debris such as branches need to be cleared to prevent orifice blockage, resulting in low maintenance costs. This method is beneficial for the development of flash flood prevention work in mountainous towns, enabling more effective resistance to flash floods and prevention of urban flooding.

The present invention relates to a river flood flow monitoring method based on the fusion of remote sensing images and hydrodynamic models, and belongs to the field of flood monitoring technology. First, the flood levels in the river basin are divided in combination with historical rainfall and flood conditions, flood process lines of different flood levels are drawn, and the 24-hour design rainstorms for each level of flood are determined. Then, a one-dimensional hydrodynamic model of the river is established using cross-section survey data, and a water level-water surface width relationship is constructed for the section to be measured. The model is solved to obtain the water level-flow relationship curves of the river under each level of flood, the recurrence level of this flood is determined, the current water surface width of the river section to be measured is calculated, and the corresponding water level is obtained. According to the flood level of the river and the stage of the flood flow process, the corresponding water level-flow relationship curve is selected and substituted into the curve to obtain the flood flow of the section to be measured in the current period. The present invention improves the accuracy of flood peak flow inversion using satellite remote sensing images by inverting water levels at different levels and stages.

A multisource hill type watershed flood forecasting method based on a bidirectional-multilayer LSTM model comprises the steps that a watershed to be forecasted is divided into a main stream confluence area, a branch confluence area and a plurality of other confluence areas, and the confluence area runoff yield of each area is calculated through a reservoir dispatching model, a Xinanjiang three-water-source model and a simplified confluence formula; based on the runoff yield, meteorological data and derivative characteristics of the confluence area of each area, generating a time sequence sample through a sliding window, and preprocessing sample data by adopting a flood peak oversampling strategy; constructing a bidirectional-multilayer LSTM model, wherein the model comprises a bidirectional LSTM layer, a Dropout layer, a unidirectional LSTM layer and a full-connection output layer; introducing a weighted loss function, and performing training optimization on the bidirectional-multilayer LSTM model; and predicting the hourly flood flow process of the drainage basin outlet section by using the trained bidirectional-multilayer LSTM model. According to the method, high-precision prediction of the hourly flow of the multi-source confluence-producing hill basin is realized.

The embodiment of the application discloses a flood flow prediction model construction method, comprising: obtaining a plurality of samples of a to-be-predicted river basin, wherein each sample comprises a terrain of a river section, a vegetation index, and inflow time series data in a historical period; inputting each sample into a Transformer model for training; in the training process, updating model parameters by constraining the model output to be consistent with the measured flood flow of the river section in each sample after the historical period in each sample, and the difference between the measured inflow data and the model output at the same time step to be consistent with the change rate of the water level of the river basin over time; and the trained model takes the terrain of any river section, the vegetation index, and the inflow time series data in any period as input, and takes the flood flow of the any river section after the any period as output. The embodiment improves the accuracy and stability of the model.

This application relates to a multi-scale progressive short-term intelligent flood early warning method, device, equipment, and medium. The method includes: acquiring rainfall forecast data for a target area within a preset time period, driving a low-resolution numerical model to perform numerical calculations to obtain a first-resolution flood flow field prediction result, using a preset model for partitioned parallel calculations to obtain a second-resolution flood flow field prediction result, then using another preset model to enhance the local flood flow field resolution to obtain a third-resolution flood flow field prediction result, and determining the current warning level of the target area based on pixel range, maximum water depth information, and maximum flow velocity information, thereby issuing a flood warning based on the current warning level. This solves the problems of low computational efficiency, insufficient predictability, and insufficient data fusion capability in flood early warning. Addressing the dynamic needs of flood scenarios, it realizes a progressive system of localized refined flood early warning, rapid trend analysis, accurate disaster alerts, and targeted early warning dissemination.

The invention relates to the technical field of hydrological simulation and disaster prediction, in particular to a flood forecasting method based on a mountain torrent disaster coupling mechanism, and the method comprises the following steps: S1, determining a critical rainfall threshold for triggering mountain torrents through Bayesian frequency analysis based on historical mountain torrent disaster data and a rainfall observation sequence; s2, a linear amplification coefficient alpha is introduced to quantify the amplification effect of the mountain torrent disaster on the river flow, and a flood flow correction model is constructed; and S3, a heterovariance transfer function and a first-order autoregression model (AR1) are adopted to jointly optimize residual distribution, and residual variance and autocorrelation are eliminated. A mountain torrent disaster dynamic coupling mechanism is constructed, and the physical consistency of the model is improved: through the joint effect of a critical rainfall threshold and a linear amplification coefficient, the dynamic influence of the disaster on the flood flow is quantified, the problem of prediction deviation caused by neglect of a mountain torrent flow amplification effect in a traditional method is solved, and the model is enabled to better fit the actual hydrological physical process.

This invention discloses a method and system for analyzing the damage caused by flood erosion to pipeline protection projects. Applied to the field of pipeline protection analysis technology, the method includes: determining the watershed where the pipeline is located and the mountainous area within that watershed; analyzing and evaluating the unit hydrograph and instantaneous unit hydrograph of the flood based on various types of rainfall data within the mountainous area, converting flood flow data to obtain flood flow data, and predicting flood characteristics; acquiring the pipeline's engineering characteristic information, analyzing the degree of flood damage to the pipeline based on the acquired flood characteristics, and obtaining damage mode analysis results; conducting pipeline damage probability analysis based on the flood probability and damage mode analysis results, obtaining damage probability analysis results, and issuing early warnings based on the damage probability analysis results. This solves the technical problem in existing technologies where it is difficult to predict the probability of pipeline damage under flood erosion and cannot quantitatively assess the risk of pipeline flood disasters.

The invention discloses a flood flow prediction method and device, equipment and a storage medium. Comprising the following steps: acquiring historical radar echo data and historical hydrological time series data, and performing dimensionality reduction decoupling on the historical radar echo data to generate a low-dimensional feature vector; training a flood prediction model in stages according to the low-dimensional feature vectors and historical hydrological time series data; and acquiring real-time data, and inputting the real-time data into the flood prediction model for flood flow prediction. Radar echo data and hydrological time series data are obtained at the same time, radar data redundant information is removed through dimension reduction decoupling, the situation that high-dimensional radar information covers low-dimensional hydrological time series data features is avoided, and high-quality and high-adaptability input data are provided for subsequent model training. By training the flood prediction model in stages, the model can learn a basic hydrological law and then gradually fuse radar features, the modal weight is dynamically optimized, the problems of low model precision and non-convergence caused by scarcity of extreme rainfall samples are reduced, and the computing power consumption is reduced.

The application discloses a time sequence enhanced deep learning flood forecasting method, device, equipment and medium; the method is: collecting hydrological and meteorological data; adopting principal component analysis to perform dimension reduction processing on original data in the data set; different flood prediction periods are divided; a time sequence enhanced deep learning model is constructed, the time sequence enhanced deep learning model is simulated for different flood flow prediction periods multiple times, a plurality of simulation prediction values of different prediction periods are obtained, and a determination coefficient R 2 The obtained simulation prediction values are evaluated; an error correction model is trained through the plurality of simulation prediction values, simulation errors of the time sequence enhanced deep learning model are predicted, and error correction values are obtained; the time sequence enhanced deep learning model and the error correction model are combined, an improved time sequence enhanced deep learning flood forecasting model is obtained, the flood forecasting model outputs a prediction result, and the prediction result is a sum of the error correction values and the model prediction values.

The present invention provides a method and system for predicting the impact of flood storage and detention area operation on the flood flow level of a river section. Based on historical typical flood sequences or artificially simulated flood sequences of flood storage and detention area operation and corresponding data on the impact of flood storage and detention area operation on the flood flow level of the river section, multiple flood storage and detention area operation samples are generated. Key factors that affect the effectiveness of flood storage and detention area operation are identified and optimized using an optimal information set selection wrapper. A flood storage and detention area operation impact prediction model is constructed based on training and verification using an artificial neural network. Using the flood storage and detention area operation impact prediction model, the impact of flood storage and detention area operation on the flood flow level of the river section is predicted under the water and engineering conditions of each flood storage and detention area operation. The present invention is simple, easy to use, and balances computational speed and accuracy, achieving high-precision and rapid prediction of the impact of flood storage and detention area operation on the flood flow level, thus having important engineering application value.