50 results about "Flood flow" patented technology

The invention provides a hydraulic engineering information management method and system based on big data. The method comprises the following steps: firstly, uploading flood flow velocity dynamic data, terrain elevation data and spectral feature data to a cloud server, then carrying out multi-dimensional superposition on the flood flow velocity dynamic data, associating with a historical inundation path, and generating a superposition association result; constructing a three-dimensional geographic model based on terrain elevation data and spectral feature data, generating a spatial superposition map according to boundary features of a water body and a terrain abrupt change area and a flood routing path, performing position association with a material reserve position, and performing dynamic priority ranking according to a submerging probability gradient, and finally, according to the resource scheduling instruction sequence, correcting the flight path of the unmanned aerial vehicle cluster and the data acquisition area to form a closed-loop feedback mechanism. According to the technical scheme provided by the invention, the accuracy and timeliness of real-time data updating are ensured.

The invention discloses a meteorological-hydrological-hydrodynamic coupling small watershed mountain torrent disaster forecasting method, which comprises the following steps of: constructing a disaster-inducing factor and disaster-pregnancy environment multi-dimensional quantitative index system, combining a three-dimensional water system model and a smoothed particle hydrodynamics (SPH) hydrodynamic model, constructing a disaster forecasting ontology and extracting feature data; according to the method, features and target variables are optimized through machine learning and deep learning, the extracted features are trained, and a disaster scene is constructed based on historical mountain torrent disaster data, so that a chain relation of hydro meteorological data-hydrodynamic characteristics-water level flow characterization-disaster conditions is established. According to the method, through fine hydrodynamic simulation, sediment deposition and impurity influences are accurately considered, detailed flood flowing path and speed prediction is provided in combination with a meteorological-hydrological model, high-precision and real-time mountain torrent risk prediction and construction of various disaster scenes are achieved, and the accuracy and response speed of mountain torrent prediction are effectively improved.

The invention relates to a river flood flow monitoring method based on remote sensing image and hydrodynamic model fusion, and belongs to the technical field of flood monitoring. The method comprises the following steps: dividing flood levels in a river drainage basin by combining historical rainfall and flood conditions, drawing flood hydrographs of different flood levels, determining 24-hour design rainstorm of each level of flood, establishing a river one-dimensional hydrodynamic model by utilizing section survey data, and constructing a water level-water surface width relationship of a section to be measured; solving the model to obtain a water level-flow relation curve of riverway water rising and water recession under each level of flood, determining the recurrence level of the flood, calculating the current water surface width of the to-be-measured riverway section, obtaining the corresponding water level, and calculating the water level of the to-be-measured riverway section. And selecting a corresponding water level-flow relation curve according to the flood level of the river channel and the stage of the flood flow process, and substituting into the curve to obtain the flood flow of the section to be measured in the current time period. According to the method, through water level inversion of different levels and different stages, the accuracy of inversion of the flood peak flow by the satellite remote sensing image is improved.

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 discloses a flood flow early warning method, a controller, a storage medium and a program product, and relates to the field of hydrological monitoring and disaster early warning. By adopting the technical scheme, after an emergency flow meter emits a first frequency modulation continuous wave to the water surface at the current position, the controller receives a first signal reflected by the water surface and analyzes the spectrum characteristic of the first signal; therefore, the stratified flow phenomenon of the water body is effectively identified. After the emergency flow velocity meter emits a second frequency modulation continuous wave to the water surface at the current position, the controller receives a second signal reflected by the water surface, determines the surface flow velocity and the subsurface flow velocity through the first signal, the second signal and a preset flow velocity calculation formula, and calculates the comprehensive flow velocity by combining the water flow layering coefficient; and finally, flow calculation is performed according to the section coefficient and the actually measured water level. According to the multi-level flow velocity measurement and analysis method, the accuracy of flood flow calculation is remarkably improved, when the instantaneous flow exceeds the preset flow threshold value, early warning is given out in time, and important support is provided for flood prevention and flood fighting.

The invention relates to the technical field of flood disaster prevention, in particular to a flood homing calculation method and simulation system based on overflow process correction. The method comprises the following steps: collecting and processing topographic data of a flood overtopping area to obtain topographic feature parameters; historical flood actual measurement data of the overtopping beach are collected, and the river channel actual measurement flood water level and flow process is obtained; according to the topographic feature parameters and the actually measured flood level process of the river channel, simulating the out-of-groove and in-groove flood processes according to the water balance principle to obtain a simulated flood overtopping flow process; and according to the flood overtopping flow process, groove returning correction is carried out on the actually-measured flood flow process of the river channel to obtain the groove-returning flood flow process of the river channel, and the groove returning flood flow process is used as the basis of groove returning flood design. By simulating the flood beach overflowing process, groove returning correction of the river flood process is achieved, the data requirement is low, flood elements are complete, and operability is high.

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.

The present invention relates to the technical field of flood disaster prevention, and particularly relates to a flood channeling calculation method and simulation system based on overflow process correction. The method includes the following steps: collecting and processing topographic data of the floodplain area to obtain topographic characteristic parameters; collecting historical flood measured data of the floodplain to obtain the measured flood water level and flow process of the river channel; simulating the out-of-channel and in-channel flood processes according to the topographic characteristic parameters and the measured flood water level process of the river channel based on the principle of water balance to obtain the simulated floodplain flow process; correcting the measured flood flow process of the river channel according to the floodplain flow process to obtain the channeled flood flow process of the river channel, and using this process as the basis for the design of channeled flood. The present invention realizes the channeling correction of the river channel flood process by simulating the floodplain process, requires less data, has complete flood elements, and is highly operable.

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 calculation method for a design flood process of a small watershed in a hilly region, which comprises the following steps of: a, obtaining known data: obtaining the total design net rain amount of the watershed to be calculated and the net rainfall in each time period, and obtaining the peak flood flow of the design flood in the corresponding return period of the watershed and the confluence time of the watershed; b, carrying out time-phased flow calculation; and c, obtaining a design flood flow process: according to a formula 13 and a formula 15, the known flood peak flow Qm and the basin confluence time tau, firstly calculating the flow in the (m-1) th and (m + 1) th time periods, and then sequentially calculating the flow in each time period before and after the flood peak through a recursion method, so that the design flood flow process can be obtained. According to the method, on the basis of the inference formula, through strict logic derivation, the calculation formula of the flow design process is obtained, the conclusion that the flow ratio of the two adjacent time periods is equal to the net rain ratio in the confluence time before the two adjacent time periods is obtained, and the method is sufficient in theoretical basis, simple in step and high in practicability.

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 present invention relates to the technical field of bridge engineering inspection and evaluation, specifically a method and system for hidden danger investigation before flood season and water damage risk assessment of small and medium-span bridges, which includes the following steps: obtaining bridge inundation event information and determining the flood flow of the bridge deck elevation, obtaining the risk score results and risk level situations of bridge inundation based on the flood flow and bridge inundation event information; collecting bridge structure instability information to establish a bridge structure parameter analysis model, and then obtaining the risk score results and risk level situations of the offset of the upper bridge structure and the overturning of the upper bridge structure; collecting the bridge pier and abutment collapse information set to obtain the risk score results and risk level situations of bridge pier and abutment collapse and bridgehead scouring events; analyzing the risk score results and risk level situations of bridge inundation, offset of the upper bridge structure, overturning of the upper bridge structure, bridge pier and abutment collapse, and bridgehead scouring events, and realizing hidden danger investigation before flood season and water damage risk assessment of small and medium-span bridges through a systematic evaluation method.

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 belongs to the technical field of flood diversion management and design, and particularly relates to a dispatching operation method suitable for excessive flood defense in a drainage basin. The method comprises the following steps: S1, establishing a three-dimensional river channel model and designing a flood diversion hub; s2, the river channel in the drainage basin is segmented, and a plurality of river reaches are obtained and numbered; obtaining river flood flow historical data, and forming a flood flow historical data array by the river flood flow historical data according to the river reach number; s3, acquiring historical rainstorm data of a river channel region in the drainage basin, and forming a historical rainstorm data array by the historical rainstorm data according to the river reach number; s4, inputting the flood flow historical data array and the historical rainstorm data array into a pre-trained overproof flood defense scheduling model to obtain a flood diversion scale grade; and S5, designing a flood discharge scheme of the flood diversion hub according to the flood diversion scale level. And training the historical data through the neural network model to obtain a model for standard-exceeding flood scheduling, wherein the model is used for guiding the design and management of flood diversion hubs during river channel design.

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 present invention relates to the technical field of flood forecasting, and discloses a flood forecasting model and method of a coupling mechanism model and deep learning, wherein the flood forecasting model comprises: a common neural network layer takes basin characteristic data as input data and outputs first data; a P-RNN layer takes meteorological driving factor time series data as input data, collects the first data, and outputs current runoff characteristic data, and the P-RNN layer comprises preset recurrent neurons, which are obtained by encoding based on a hydrological mechanism model; a first recurrent neural network layer takes previous flood flow data as input data and outputs previous flood characteristic data; a second recurrent neural network layer takes previous flood characteristic data, current runoff characteristic data, and meteorological driving factor data as input data and outputs flood characteristic data; an output layer takes flood characteristic data as input data and outputs flood flow data. The present invention realizes the consistency between the hydrological model dominated by deep learning and physics, and improves the accuracy of flood forecasting.

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 present invention discloses a method for forecasting mountain flood disasters in small watersheds with meteorological - hydrological - hydrodynamic coupling. This method constructs a multi - dimensional quantification index system for disaster - causing factors and disaster - bearing environments, combines a three - dimensional water system model and a smoothed particle hydrodynamics (SPH) hydrodynamic model to construct a disaster prediction ontology and extract characteristic data, optimizes the features and target variables through machine learning and deep learning, trains the extracted features, and constructs disaster scenarios based on historical mountain flood disaster data, thereby establishing a chain relationship among hydrometeorological data - hydrodynamic characteristics - water level and flow rate characterization - disaster situations. Through fine - scale hydrodynamic simulation, accurately considering the influence of sediment deposition and impurities, and combining with meteorological - hydrological models to provide detailed predictions of flood flow paths and speeds, the present invention realizes high - precision and real - time mountain flood risk prediction and the construction of multiple disaster scenarios, effectively improving the accuracy and response speed of mountain flood forecasting.

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 present invention relates to the technical field of intelligent bridge monitoring, specifically to a method and system for monitoring and warning of water damage of highway bridges, the method comprising the following steps: dividing the information collection time stage according to the bridge water damage process stage to obtain information data sets of different process stages; using the DBSCAN algorithm and the information data set to obtain the forecast information set and obtain the forecast analysis result; based on the DBSCAN algorithm and the information data set, the first warning layer information set is obtained, and a flood velocity prediction model and a cross-sectional flow analysis model are established at the same time, thereby obtaining the first warning result; based on the DBSCAN algorithm and the information data set, the second, third and fourth warning layer information sets are obtained, and the second, third and fourth warning results are obtained according to the multi-layer information set; combining the forecast analysis results and the four-layer warning results to realize the monitoring and warning of the water damage of highway bridges. Considering the influence and coupling of multiple factors on bridges provides support for scientific management and safety of bridges.

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 a flood detection method, a flood detection system, flood detection equipment and a storage medium. The method comprises the following steps: acquiring meteorological data, topographic data and hydrological data of a region, and preprocessing the meteorological data, the topographic data and the hydrological data; constructing a flood risk factor model, and calculating a flood risk factor of the current region based on the meteorological data and topographic data of the current region; constructing a river peak flood flow prediction model, and predicting the river peak flood flow of the current region based on the meteorological data, topographic data and hydrological data of the current region; and constructing a flood occurrence probability prediction model, and inputting the flood risk factor of the current region and the river channel flood peak flow into the model to obtain the flood occurrence probability of the current region.