107 results about "River flood" patented technology

The invention relates to the technical field of data evaluation processing, in particular to a rural waterlogging area waterlogging risk grade evaluation and early warning method based on multi-source data. The method comprises the following steps: acquiring geographic information, hydrological and flood data and flood control and drainage engineering data of a rural waterlogging area, and performing multi-source data fusion to obtain rural flood multi-source data; and performing river flood overflow calculation on the rural flood multi-source data to obtain river flood overflow data. According to the invention, through a data processing technology, a mode identification technology and a deep learning technology, rural multi-source feature data is subjected to fusion analysis, and risk level evaluation of a waterlogging area and a waterlogging sheet in a rural area is realized; a flood real-time forecasting and early warning model is constructed, when rainstorm occurs or a meteorological department issues rainstorm early warning, the rural flood flooding range is quickly predicted, and a risk avoiding transfer route is planned.

The invention relates to a quick river flood forecasting method based on a physical information neural network, and belongs to the field of river flood forecasting. The method comprises the following steps: on the basis of a traditional physical information neural network (PINN), introducing a boundary condition parameter as an input variable, and enabling the PINN to learn a flood wave propagation rule under different boundary conditions. Furthermore, on this basis, a physical information neural network flood fast forecasting framework (RFF-PINN) integrated with a hydrodynamic method is provided, a numerical solution based on grid discretization is reconstructed into a continuous function in a time-space domain through a piecewise polynomial interpolation method, residual error loss between network output and a hydrodynamic model simulation value is constructed, and therefore, a flood fast forecasting result is obtained. The network parameters are optimized in cooperation with the PDE loss, and the problem that the network parameter optimization effect is reduced due to the fact that the PDE loss of the complex flow state area is difficult to converge is solved. The method has the beneficial effect that the water depth change process of each section of the river channel under any boundary condition can be accurately and quickly predicted.

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 relates to a basin flood simulation optimization method based on a physical information neural network, and aims to construct a basin flood acceleration solution mode based on PINNs, and ensure the continuity and the physical characteristics of mass conservation during model operation, and the method comprises the following steps: simulating basin flood by using an urban flood space-time simulation model; obtaining a data set required for constructing the physical neural network; physical rules are integrated and simplified into limiting conditions, so that integration of a neural network structure is facilitated; establishing a partial differential equation (PDE) used for describing river flood routing, and taking the partial differential equation as a loss function of the physical information neural network model; constructing and training a PINNs drainage basin flood model constructed on the basis of a CNN (Convolutional Neural Network); and establishing a model evaluation index and performing evaluation. The method has the beneficial effect that the speed and precision of basin flood simulation are improved.

The invention discloses a deformation detection method and system for a river flood control wall, a corresponding early warning data set is determined according to a vertical settlement parameter, a transverse displacement parameter and a corresponding early warning threshold, multiple interactions of the vertical settlement parameter, the transverse displacement parameter and the corresponding early warning threshold are compatible, the accuracy of the early warning data set is ensured, and the accuracy of the early warning data set is improved. Therefore, the accuracy of the early warning image is ensured. And further, performing multiple judgments on the dissimilar feature set and the early warning data set, outputting an identification result of the dissimilar feature set and a deformation result of the early warning data set, and determining a deformation result of the river flood control wall according to the identification result of the dissimilar feature set, the deformation result of the early warning data set and a result matching table. The method achieves the multi-dimensional control of the recognition result of the dissimilar feature set, the deformation result of the early warning data set and the result matching table, guarantees the multi-stage control of the deformation result of the river flood control wall, and guarantees the accuracy of the deformation result of the river flood control wall.

The invention relates to the technical field of hydrodynamic simulation, in particular to a lateral coupling method of a one-dimensional hydrodynamic model and a two-dimensional hydrodynamic model. The method comprises the following steps: collecting topographic data in a large section of a river channel and flood control protection areas on both sides of the river; constructing a one-dimensional hydrodynamic model and a two-dimensional hydrodynamic model based on the topographic data; determining a common edge of the one-dimensional hydrodynamic model and the two-dimensional hydrodynamic model; according to the relative position of the water level of each common edge in the one-dimensional cell of the river channel side and the midpoint of the common edge, combining an approximate Riemann solver to obtain the numerical flux of each common edge; obtaining a new time layer variable value of the two-dimensional hydrodynamic model by adopting an approximate Riemann solver; and obtaining a new time layer variable value of the one-dimensional hydrodynamic model according to the condition that the river flood overflows the embankment on the shared edge of the two sides of the one-dimensional cell and the numerical flux and the water level of the two sides of the one-dimensional cell, and outputting a calculation result. The stability of the model calculation process is ensured, and the reliability and practicability of the model are improved.

The invention discloses a small watershed flood risk early warning method, which comprises the steps of constructing a digital watershed bottom plate based on watershed DEM data, and obtaining a flow direction grid, a flow grid, a river reach watershed range and a river reach data set; trying and determining a rainstorm formula of the area where the drainage basin is located; performing 1-5km space rainfall grid interpolation based on the integrated rainfall station to obtain a small watershed unit, a river reach watershed range and peripheral rainfall grids; calculating the surface average rainfall in different time periods; calculating an early-stage rainfall capacity and an early-stage rainfall index based on the grid mode; extracting an early rainfall index of the river reach basin according to the small basin unit and the river reach basin range; calculating rainfall recurrence periods of the small watershed units and the river reach; flood risk early warning is carried out on the small watershed unit; carrying out risk early warning on the river flood; flood risk early warning is carried out on the flood control object; the problem that large-scale application and popularization are not facilitated due to lack of hydrological data of most small watersheds is solved.

The invention discloses a knowledge graph-driven line storage space joint optimization scheduling model construction method. The method comprises the following steps: determining an optimal scheduling target and an overall target function of row storage space joint flood control scheduling, and setting constraint conditions; under a knowledge graph theoretical framework, constructing a response relationship between single-class line storage space scheduling and a river flood discharge state; selecting an excess peak water level exceeding a river embankment control water level as a coordination variable, decomposing the overall objective function into system association constraint equations of a river embankment, a reservoir, a flood storage and detention area and a flood drainage pump station, and reducing a multi-class line storage space joint scheduling problem into a problem of optimization scheduling of each single-class line storage space scheduling; and respectively solving by adopting an improved particle swarm algorithm to obtain an optimal scheduling process of each single-class line storage space. The method not only solves the problem that global optimum is difficult to ensure by directly applying a traditional optimization algorithm due to many row storage space optimization targets and a competitive relationship, but also reduces the calculation time of the model.

The invention discloses a river flood early warning device, which relates to the technical field of flood prevention early warning equipment and comprises an L-shaped mounting plate, a waterproof box, a horizontal mounting plate, a mounting frame, a guardrail, a vertical mounting plate, a warning lamp, a flow velocity monitoring fan, a water level monitoring mechanism, a transmission mechanism and an alarm mechanism. The early warning device is driven by a second sliding mechanism to work, the two flow velocity monitoring fans are driven by a first sliding mechanism to slide, the vertical mounting plate is driven by the second sliding mechanism to slide, the second sliding mechanism is driven by a transmission mechanism to work, and the multiple protection fences are driven by a third sliding mechanism to slide. The water level monitoring mechanism can carry out monitoring and early warning on the river water level in real time, the alarming mechanism can effectively carry out monitoring and alarming on the water flow speed, the guardrail can slide in a reciprocating mode under driving of the third sliding mechanism, and when the water level rises, the guardrail is lifted up, and the protection effect can be effectively achieved.

The invention provides a flood inundation drawing method and system integrating social media data and SAR images, and relates to the technical field of emergency management, and the method comprises the steps: obtaining text data which is related to a rainstorm flood event and carries POI address information in social media; generating a rough flood inundation range map and a flood inundation probability map of the disaster area based on the DEM data, the POI inundation points and the corresponding water depth information; determining a flood inundation probability threshold interval based on the searched field picture and video data, and obtaining an intersection to obtain a flood inundation range map of the urban built-up area; according to the pre-disaster, in-disaster and post-disaster multi-scene SAR images, water body data in different periods are extracted, and a river flood inundation range map is generated; and combining the flood inundation range map of the urban built-up area and the flood inundation range map of the river channel to obtain a flood inundation range map of the affected area. According to the method, the advantages of social media data and time sequence SAR images in urban flood and river flood detection are fully utilized, and high-precision mapping of large flood events is achieved.

The invention discloses a radar and ground rainfall fused hydrodynamic urban flooding risk early warning method. The method comprises the steps of integrating rainfall station monitoring data, collecting radar echo map data and integrating rainfall forecasting grids; rainfall fusion interpolation is carried out based on actually measured rainfall of a rainfall station and a radar echo map; extracting a real-time rainfall grid sequence; extracting a forecast rainfall grid sequence; calculating surface net rain after rainfall deduction evaporation and soil absorption before coupling rainfall input of the two-dimensional rainfall boundary; constructing a two-dimensional rainfall boundary data file and a one-dimensional river channel upstream boundary data file of the HEC-RAS model; according to HEC-RAS model input and control parameters, the model is driven to calculate the maximum water depth and flooding duration; performing two-dimensional flooding risk assessment according to the flooding risk grade index; performing riverway flood risk assessment according to the riverway design flood and the flood control characteristic information; the problems of simulation and early warning application of the urban'rainstorm-waterlogging 'risk are solved.

The invention relates to the technical field of flood forecasting, in particular to a medium and small river flood risk level forecasting device based on areal rainfall, which comprises an information acquisition module used for acquiring hourly areal rainfall in each hydrological station area in a drainage basin and processing to obtain return periods of areal rainfall of different time lengths; the statistical module is used for acquiring monitoring data of each hydrological station, calculating a flood recurrence period, and then carrying out statistical analysis on the recurrence periods of different levels of flood in the drainage basin according to a standard flood level; and the different-level flood model module is used for counting the correlation between the recurrence periods of the different-time-length surface rainfall and the recurrence periods of the different-level flood so as to establish different-level flood models, and the forecasting precision is improved through the models.

The invention relates to a mountain river flood dynamic rehearsal method, device and equipment based on big data fusion and a medium. The method comprises the following steps: acquiring a multi-source fusion data set of a target mountain river; based on the multi-source fusion data set, recognizing the flood type of the target mountain river in combination with a preset threshold rule to obtain the flood type and cause parameters; according to the flood type and the cause parameter, calculating a design flood peak flow value of each node in the target mountain river; according to each design flood peak flow value, performing section-by-section trial calculation through an energy equation to obtain a design flood surface line; and performing dynamic simulation processing on the flood routing process of the target mountain river based on the designed flood water surface line, and generating a flood routing dynamic simulation report of the target mountain river. The method can accurately adapt to the characteristics of diverse causes and complex propagation process of flood in a mountain river, and remarkably improves the refinement degree and reliability of flood rehearsal.

The invention discloses a river flood control influence analysis method based on a graph neural network, and the method comprises the following steps: S1, collecting terrain, hydrology, weather and water flow data, and constructing a graph structure model; s2, generating node and edge features, and forming a graph model; s3, inputting the graph model to a Laplacian network, and generating graph feature representation; s4, combining real-time data updating features, and constructing a dynamic graph model; s5, executing neighborhood sampling, and constructing a local subgraph; s6, inputting an attention mechanism, and generating an attention graph representation; s7, inputting a graph generation module, simulating a flood situation, and generating an expansion graph structure; and S8, training the dynamic graph model, and outputting a flood range, a risk level and flood control measures. According to the invention, graph modeling and reasoning integration of flood control analysis is realized.

The invention belongs to the technical field of unmanned aerial vehicle testing, and provides a river flood testing system based on unmanned aerial vehicle carrying, which comprises a sensor integration module used for integrating a Beidou positioning module, a radar wave depth and velocity measurement sensor, a high-resolution camera, an infrared sensor and a multispectral sensor; the data fusion module is used for fusing data from the sensor integration module; the automatic flight control module is used for planning a flight path of the unmanned aerial vehicle; the intelligent data analysis module is used for analyzing the image captured by the high-resolution camera; the environment adaptability module is used for realizing real-time obstacle avoidance and environment perception; the user interface and data visualization module is used for monitoring the state of the unmanned aerial vehicle and checking data in real time; by integrating various sensors and an advanced data processing algorithm, the real-time performance and accuracy of river flood monitoring are remarkably improved, the monitoring range is not limited by a fixed monitoring station due to the flexibility of the unmanned aerial vehicle, and a wide area can be rapidly covered.

The invention discloses a river function vulnerability evaluation method and device, a medium and a product, and relates to the technical field of hydraulic engineering and river ecological evaluation.The method comprises the steps that river basic information is obtained; determining index data of river function vulnerability evaluation; constructing a judgment matrix of the index data by utilizing an analytic hierarchy process; calculating a weight vector of the index data according to the judgment matrix; according to the river basic information and the river flood control standard, performing quantitative score assignment on the index data to obtain a score assignment result; calculating a function comprehensive score of the river according to the weight vector and the score assignment result; the function comprehensive score is used for evaluating the river function vulnerability. By introducing the analytic hierarchy process and the multi-index scoring system, a comprehensive evaluation system is constructed from four aspects of river flood control, navigation, water supply and ecology, the river function vulnerability can be reflected more scientifically and comprehensively, and a reference is provided for river management and governance.

The flood prevention device comprises a flood prevention gate mechanism, the flood prevention gate mechanism comprises a river channel body, a trash holding and cleaning mechanism is installed on the front portion of an inner cavity of the river channel body, and a U-shaped concave frame is fixedly connected to the interior of the flood prevention gate mechanism by forming an opening; and a sealing groove is formed in the inner side of the U-shaped concave frame. According to the flood prevention device and method for the river drainage basin, the flood prevention gate mechanism and the trash holding and cleaning mechanism are used in a combined mode, through the arrangement of the two mechanisms, flood prevention can be conducted on a river channel body through a gate body, and meanwhile sundries in a river are intercepted and collected through an intercepting net plate; and when the gate body and the intercepting net plate are cleaned subsequently, linkage between the structures can be used for unlocking and overturning the intercepting net plate after the gate body ascends, so that workers can conveniently clean the intercepting net plate, and the practicability is improved.

The invention provides a river flood season pollution monitoring and early warning method, system, device and medium, and the method comprises the steps: collecting water body samples of each monitoring region in a target river, and determining the heavy metal pollution degree of each water body sample; determining the flow active state of the heavy metal pollutants according to the rainfall intensity of the area where the target river is located and all the heavy metal pollution degrees, performing diffusion simulation on migration of the heavy metal pollutants through all the flow active states to obtain pollution plumes, and performing diffusion recombination on all the pollution plumes to obtain the heavy metal pollutants. The method comprises the steps of obtaining a diffusion distribution diagram of heavy metal pollutants, determining a plurality of pollution overlapping areas, determining the migration flux of the heavy metal pollutants according to the flow velocity gradient among hydrodynamic data, and sending a pollution early warning to a monitoring management center of a target river when the migration flux is greater than a pollutant threshold value. And monitoring and early warning can be carried out on the overall water pollution of the target river under the influence of pollutant accumulation caused by flowing of pollutants along with the water body.

The invention provides a hydrodynamic model-based mountain river flood diversion tunnel line and scale optimization design method, which comprises the following steps of: constructing a one-dimensional hydrodynamic mathematical model of a research area drainage basin by adopting MIKE11 software, and constructing a one-dimensional hydrodynamic model of the research area drainage basin according to the one-dimensional hydrodynamic mathematical model of the drainage basin, boundary conditions and calibrated comprehensive roughness; and calculating designed flood water surface lines of different frequencies of the urban section. According to the actual situation of a city, aiming at urban flood causes and main problems existing in a current flood control system, engineering measure schemes such as flood control reservoir construction, beach retreating and river returning, river regulation, embankment heightening and flood diversion channel building are proposed, and a flood diversion tunnel route and planning optimization research is developed on the basis of a hydrodynamic model. Numerical simulation of flood disasters is completed by means of the modern information technology, a complete disaster prevention and control system is established for achieving the purposes of scientization, high efficiency and automation of disaster prevention and relief decision, the urban flood prevention capacity can be comprehensively improved, and the life and property safety of the masses is guaranteed.

The invention discloses a portable flow measuring device for hydrological measurement, and belongs to the technical field of detection. The device comprises a box body A, a box body B and a driving assembly, a radar current meter and an acoustic Doppler current meter are installed on the two sides of the box body B, and the box body A moves along a rod body or a rope through the driving assembly. The detection balance system collects environmental parameters such as water surface roughness, wind speed, particle content and water depth in real time, a radar and acoustics confidence model is constructed through normalization processing, sensor weights are dynamically distributed in combination with a height change function, and finally a high-precision detection result is output through a flow velocity model. Through multi-source data fusion and an adaptive algorithm, the problem of insufficient reliability of a single sensor in a complex environment is solved, and the system has the advantages of portability, robustness and high precision, and is suitable for river, flood and field hydrologic monitoring.

The invention discloses an embankment gushing risk evaluation method based on an embankment gushing formation mode, and the method comprises the steps: constructing the formation mode of the embankment gushing risk through employing the outboard flood occurrence probability as a triggering premise, employing a riverbed instability coefficient as a disaster-causing factor, and employing the stability degree of an embankment as a resistance capability; according to the calculation method for obtaining the embankment gushing risk according to the evaluation model, the embankment gushing risk can be quantitatively analyzed and calculated, the embankment gushing risk point can be effectively recognized, the weak river reach of the embankment can be defended in a targeted mode, passive water safety incident handling is changed into active water safety risk prevention and control, and the method is the key for guaranteeing the flood control safety of the river channel. And the method is universal for safety protection of other river dikes in the world, and has popularization significance.

The application relates to a river flood discharge capacity dynamic evaluation and hydrological early warning method. The method comprises the following steps: based on a parameter sensitive observation subset, sequentially updating an initial hidden variable in a low-dimensional hidden space through an unscented particle filter algorithm to obtain an optimized hidden variable, and inputting the optimized hidden variable into a river dynamic resistance field generator based on an initial dynamic roughness field to perform decoding processing to obtain a dynamic roughness field of a current period; based on the dynamic roughness field and a state sensitive observation subset, performing analysis and update processing on a state variable field of a hydrodynamic model through a deterministic ensemble Kalman filter algorithm to obtain an assimilated water level field and a flow velocity field; according to the water level field, the flow velocity field and the dynamic roughness field, the maximum flood discharge capacity of a section is calculated in combination with dike top elevation data, and a flood discharge capacity dynamic index is calculated based on the maximum flood discharge capacity of the section and a current actual flow. The method can realize real-time dynamic quantification of river flood discharge capacity and predictive evaluation of flood risk.

The invention discloses a device and a method for testing influence of river and canal flood on variable slope pipe network drainage and ground surface submerging, and relates to the field of urban flood. A water tank lifting assembly can ascend and descend, and a water tank can move relative to the water tank lifting assembly, so that the gradient of the water tank can be adjusted; the inspection well lifting assembly can ascend and descend and can move so that the gradient of the underground pipe network can be adjusted, the effluent weir comprises a weir plate which can move in the height direction of the testing device, and the weir plate is used for adjusting the water level in the river channel. Therefore, the gradient of the water tank is adjusted through the water tank lifting assembly, the gradient of the underground pipe network is adjusted through the inspection well lifting assembly, and the weir plate is used for adjusting the water level in the canal. The test device can accurately simulate the influence degree of the dynamic change of the water level of the canal on the drainage of the urban variable-gradient pipe network and the range and depth of surface submerging under the combined situation of different surface incoming flows and pipeline incoming flows, and provides decision support for urban flood risk management and urban drainage system design.

The present invention discloses a deformation detection method and system for a river flood control wall, which determines a corresponding warning data set according to a vertical settlement parameter, a lateral displacement parameter, and a corresponding warning threshold, and is compatible with multiple interactions of the vertical settlement parameter, the lateral displacement parameter, and the corresponding warning threshold, thereby ensuring the accuracy of the warning data set, and thus ensuring the accuracy of the warning image. Furthermore, multiple judgments are made on non-similar feature sets and warning data sets, and the recognition results of the non-similar feature sets and the deformation results of the warning data sets are output. The deformation results of the river flood control wall are determined according to the recognition results of the non-similar feature sets, the deformation results of the warning data sets, and the result matching table, realizing multi-dimensional control of the recognition results of the non-similar feature sets, the deformation results of the warning data sets, and the result matching table, ensuring multi-level control of the deformation results of the river flood control wall, and thus ensuring the accuracy of the deformation results of the river flood control wall.

The present invention discloses a portable flow measuring device for hydrological testing, which belongs to the field of detection technology. The device includes a box A, a box B and a drive assembly. Radar flowmeters and acoustic Doppler flowmeters are installed on both sides of box B, and box A moves along a rod or rope through the drive assembly. The detection and balancing system collects environmental parameters in real time, such as water surface roughness, wind speed, particle content, water depth, etc., constructs radar and acoustic confidence models through normalization processing, dynamically allocates sensor weights in combination with the height change function, and finally outputs high-precision detection results through the flow rate model. The present invention solves the problem of insufficient reliability of a single sensor in a complex environment through multi-source data fusion and adaptive algorithms. It has the advantages of portability, robustness and high precision, and is suitable for river, flood and field hydrological monitoring.

The invention relates to the technical field of river channel flood discharge, and discloses an anti-backflow river channel flood discharge flow guide device. Comprising a flood discharge mounting part, a siphon drainage part is mounted on the flood discharge mounting part, and a water diversion stop part is mounted at the bottom of the siphon drainage part; the water diversion stop part is used for preventing water in the siphon drainage piece from flowing back; a water level detection part is mounted on the flood discharge mounting piece; the water level detection part is used for detecting the river water level; the siphon drainage piece is adopted, siphon drainage work can be achieved, the drainage efficiency is guaranteed, the siphon does not need to be grooved and buried in the river channel construction process, the siphon effect is directly utilized for suction, the river channel embankment cannot be damaged, and the problems that according to an existing river channel flood discharge flow guide device, fixed point position pipe burying is mostly adopted, siphon drainage is inconvenient to achieve, and the construction cost is low are solved. And the construction difficulty is high.

The invention relates to the field of flood control risk prediction, in particular to a river flood control risk prediction analysis system based on a water conservancy model, and the system is provided with a twinborn monitoring module which is used for continuously obtaining water conservancy data of a target river region according to a preset monitoring frequency, and constructing a corresponding twinborn model; the feature recognition module is connected with the twinborn monitoring module and is used for analyzing collapse features based on a twinborn model; the type division module is connected with the feature recognition module and is used for evaluating a diffusion characterization value according to the collapse features in combination with the minimum distance between the edges of the adjacent sunken regions so as to divide the diffusion tendency types of the sunken regions; and the prediction analysis module is connected with the type division module and is used for adaptively detecting and analyzing the sunken area based on the diffusion tendency category, the detection efficiency of the dike breach is improved, and then support is provided for implementation of rapid plugging.

The utility model relates to the technical field of river flood control monitoring devices, in particular to a river flood control monitoring and early warning device which comprises a supporting column, a monitoring assembly is arranged on one side of the supporting column and comprises four guide rods, a lower floating plate is connected to the four guide rods in a sliding mode, and a lifting plate is fixedly installed on the top face of the lower floating plate. The lifting plate sleeves the guide rods and is slidably connected with the guide rods, an upper floating plate is fixedly mounted on the top surface of the lifting plate, inclined planes are arranged on the left side and the right side of the top surface of the lower floating plate, an assembly frame is fixedly mounted on the bottom surface of the lower floating plate, a monitoring module is fixedly mounted on the assembly frame, and a fixed base is fixedly mounted at the bottom ends of the guide rods. A fixing frame is fixedly installed among rod bodies at the bottom ends of the four guide rods, and a top plate is fixedly installed on the top faces of the four guide rods. According to the utility model, the automatic height adjustment operation of the monitoring module is facilitated, so that the monitoring module floats on the water surface for monitoring more smoothly.

The present invention relates to the technical field of flood control and drainage structures, and discloses a river flood control and drainage structure capable of cleaning river garbage, comprising a fabric base, a flood drainage channel being arranged in the base, the inner end of the flood drainage channel forming a water inlet, and the outer end of the flood drainage channel forming a water outlet; the flood drainage channel comprises a front section, a middle section and a rear section; the switch channel is arranged between the front section and the middle section, a rolling shaft is arranged in the switch channel, and a connecting channel is arranged in the rolling shaft; a power structure drives the rolling shaft to roll; the bottom of the longitudinal channel extends to between the middle section and the rear section to form an interception section, and the top of the longitudinal channel passes through the top of the base; a horizontally arranged interception net cylinder is arranged in the interception section, the interception net cylinder has a accommodating cavity, and a plurality of mesh holes are arranged on the outer periphery of the interception net cylinder; a feed port is arranged on the interception net cylinder, and a limiting structure is provided on the feed port to limit the river garbage in the accommodating cavity from being discharged outward through the feed port, and the river garbage in the water body is accommodated in the accommodating cavity through the feed port.

The invention belongs to the technical field of hydrological forecasting, and discloses a river flood forecasting method, system, equipment and medium based on a hydrological model, and the method comprises the steps: obtaining the historical hydrological data of a research area, carrying out the rainfall-runoff trend analysis of the research area based on the historical hydrological data, and obtaining the historical rainfall runoff data of the research area; interpolating the rainfall capacity of the research area based on rainfall data in the historical rainfall runoff data to obtain a rainfall spatial distribution diagram of the research area; performing watershed digitization by using watershed original DEM data of the research area to obtain river network form information after sub-watershed division, and calculating a CN value of each sub-watershed; constructing a river flood forecasting model; and inputting the real-time hydrological data of the research area into the river flood forecasting model for forecasting to obtain a forecasting result, and finishing forecasting. According to the technical scheme of the invention, a numerical weather forecasting and hydrological model coupled flood forecasting system can be constructed, and the forecasting period can be effectively prolonged.