112 results about "River flood" patented technology

The invention discloses a kernel extreme learning machine flood forecast method based on sparse self-encoding. The method comprises the following steps that (1) medium and small river flood data are selected, and the data are collated and cleaned; (2) the appropriate forecast factors are selected and samples are collated, and the sample data are preprocessed; (3) unsupervised learning is performedon the original sample data through a multilayer sparse self-encoder, and the optimal network layer parameters are trained; and (4) the sample data through multilayer sparse self-encoding learning act as the input of a KELM model, an SAE_KELM model is constructed and the corresponding result is predicted and evaluated. The SAE method is fused on the basis of the KELM model, a deep network model is constructed, and the abundant intrinsic information between the complex data can be learnt by increasing the number of layers of the model. The "essential" characteristics of the original hydrological data can be learnt by the SAE_KELM model, the learnt characteristics have more essential depiction for the data, and the mapping relationship between the characteristic value and the target value can be better fit by the KELM model.

The invention discloses a precipitation forecasting and support vector machine coupled real-time river flood peak water level forecasting method. According to the method, quantitative precipitation forecasting data is taken as influence factors and a support vector machine is used for forecasting future flood peak water levels of rivers. According to the method, quantitative precipitation forecasting is used for forecasting flood peaks, so that the forecasting periods can be brought ahead greatly, future flood peak water levels are predicted in real time via current precipitation forecasting information, and prediction results can be corrected in time according to weather changes, so that the precision and reliability of flood peak forecasting are improved continuously. According to the method, relationships between factors such as precipitation, risen water levels and the like and flood peak water levels are established on the basis of the support vector machine; and compared with river flood algorithms, the method has the advantages that the whole analysis process is rapid and convenient and the method is easy to be grasped and used by users.

The invention relates to a river flood prediction method based on similarity matching and extreme learning machines. The method comprises the following steps of firstly, obtaining an optimal flow prediction model respectively corresponding to each history flood sample based on extreme learning machine models; secondly, selecting front k preset history flood samples as reference flood samples based on a similarity matching value from big to small; and lastly, carrying out flow value prediction based on real-time water flow features and real-time rainfall capacity features and carrying out flood judgment according to the obtained flow prediction value. According to the river flood prediction method based on similarity matching and the extreme learning machines, the defects of the existing technology can be overcome and the actual prediction accuracy of the river flood can be effectively improved.

The invention discloses a multi-stage light well point dewatering construction process for Yellow River flood plain bearing platform construction. The process comprises the following steps of: (1) carrying out construction lofting and measurement; (2) constructing a bearing platform base pit by adopting a multi-stage well point dewatering method; (3) sealing the bottom: sealing the bottom of the finished bearing platform base pit by adopting concrete; and (4) carrying out bearing platform operations, wherein the construction process of the step (2) comprises the following steps of: doing construction preparations; carrying out dewatering of a well point of a first stage and base pit excavating construction; carrying out dewatering of a well point of a next stage and the base pit excavating construction; continuously repeating the construction step of the dewatering of a well point of a next stage and the base pit excavating construction according to graded dewatering grades; and finishing the dewatering construction of subsequent various stages of well points and corresponding excavating construction to obtain the molded bearing platform base pit. The process has reasonable design, convenient construction, good construction effect, safety, reliability, low manufacture cost and short construction period and can adapt to the characteristics of high underground water level and poor soil property in the Yellow River flood plain, thereby the defects of high manufacture cost, longer construction period, more difficult construction, and the like during constructing the Yellow River flood plain bearing platform by adopting a steel sheet-pile cofferdam method are effectively overcome.

The invention relates to a physical model with IPC (international patent classification) of E02B1/02, in particular to an analog monitoring method for a water flow turbulent fluctuation structure at the bottom of a resin mortar block during 'riverbed blowing up' scouring period of hyper-concentration sediment flood. The analog monitoring method includes prefabricating the resin mortar block by the aid of an organic glass mode box; arranging platy film type pressure sensors at the bottom of the resin mortar block; and leading a data line to be connected with a data acquisition instrument to acquiring water flow pressure signals in real time. In the analog monitoring method, the structure is simple, operation is convenient, a water flow turbulent fluctuation condition at the bottom of the resin mortar block is monitored accurately, a feasible testing method and a device are provided for further deeply researching the difficult problem of 'riverbed blowing up' phenomenon of the Yellow River, and the analog monitoring method lays the foundation for recognizing the occurrence mechanism of the 'riverbed blowing up' phenomenon and building a 'riverbed blowing up' scouring index, and provides important basis and reference for formulating a Yellow River flood control plan and planning and designing a flood prevention project.

The invention discloses a reservoir incoming water quantity early warning and forecasting method and system based on medium and small basin flood forecasting, and the method comprises the steps: carrying out the interpolation of rainfall data in space, organically combining the grid rainfall data with the site rainfall data, and carrying out the model rainfall calculation; then, converting the potential evapotranspiration of the soil into the total evapotranspiration of the watershed; constructing a runoff production method library, and performing runoff production calculation by adopting different runoff production methods according to different climate types; combining the time area relation unit line of the drainage basin with the confluence speed, and obtaining the confluence flow process through a convolution formula by means of the surface net rainfall; fitting river section characteristic parameters, performing river flood calculation; and processing non-standard rainfall process data into a standard time period for parameter calibration. According to the method, the spatial heterogeneity of underlying surface attributes such as terrain and vegetation soil in the drainage basin is fully considered, the rainstorm flood process of the medium and small drainage basins is well simulated, and reliable technical support is provided for early warning of the water inflow of the reservoir.

The invention discloses a tide-sensing river channel flood prevention and moisture prevention shoreline making method, and belongs to the technical field of flood prevention and moisture prevention foundation water conservancy facilities. The method is based on actually measured river channel terrain and hydrology sediment materials, a river channel physical model and a mathematical model are established, the mathematical model comprises a two-dimensional mathematical model and a three-dimensional mathematical model, and the river channel physical model, the two-dimensional mathematical modeland the three-dimensional mathematical model are carrying out digital-to-analogue coupling; and according to hydrodynamic characteristics under different regional tidal currents and different workingconditions, water force of a river channel field, change rule of flow velocity gradient, distribution rule a water power curve, erosion and silting process of a riverbed and a form of ultimate erosionand silting are under the long-time action of the river flood and the outer sea boundary at different frequencies are achieved, and a shoreline conforming to a natural river tidal flooding intersection movement rule is formulated. The tide-sensing river channel flood prevention and moisture prevention shoreline making method has the advantages that the defect that in traditional shoreline making,the flood power function is considered independently and the long-term effect of the tidal power is ignored are broken through, and the adaptability of a combined action area river channel shorelineof a runoff and a tide is enhanced.

The invention discloses an ecological smart dam based on big data, which relates to the technical field of ecological dam and river flood discharge safety, and is characterized by comprising a data acquisition module, a data processing module, a data display module and a network communication module, the data acquisition module is used for sensing and collecting dam information in real time or atregular time; the data processing module receives the dam information acquired by the data acquisition module and performs real-time or timing analysis on the dam information based on cloud computingof big data; the data display module receives the processing data of the data processing module and realizes dam dynamic real-time effect display; and the network communication module is used for realizing data interaction among the data acquisition module, the data processing module and the data display module. The state of the dam can be mastered objectively in time, and flood discharge safety of the river channel is guaranteed; and intelligent operation and maintenance monitoring of the ecological dam is realized through technical means of Internet of Things intercommunication, informationsharing, big data analysis and calculation and three-dimensional entity model display.

The invention discloses a river flood forecasting method based on a discrete generalized Nash routing model. By introducing the detention storage curve, simplifying a generalized Nash routing model, and establishing a discrete generalized Nash routing model, a river flood forecasting method is provided based on this model. The method expresses the outflow process of a river lower section as a linear combination of the inflow at the beginning and the end of a period and the outflow of the current time and a plurality of previous time moments, and obtains a weight coefficient according to the detention storage curve. The river flood forecasting method based on a discrete generalized Nash routing model, because integrating some historical effective information, can improve forecasting accuracy, is simple and visual, and can be easily popularized and applied in engineering practice.

The invention relates to a river work model, whose IPC code is E02B 1/02, in particular to a monitoring method for a turbulent fluctuation structure of water flow at the bottom of a daub block during a high-sand-containing flood bed scour by hyperconcentrated flow scouring period. According to the simulated monitoring method, the daub block is prefabricated by an organic glass die box, flaky diaphragm type pressure sensors are distributed on the bottom of the daub block and are connected with a data acquisition instrument via data lines so as to collect a water flow pressure signal in real time. The simulated monitoring method disclosed by the invention has a simple structure, is convenient to operate and can be used for accurately monitoring turbulent fluctuation status of water flow at the bottom of the daub block so as to provide a fesible test method and device for deeply researching the problem of the bed scour by hyperconcentrated flow phenomenon of the Yellow River, and a foundation for recognizing the generation mechanism of the bed scour by hyperconcentrated flow phenomenon and building the scouring index of the bed scour by hyperconcentrated flow phenomenon is laid, and an important basis and an important reference are provided for the planning and the design of a Yellow River flood control plan and a flood control project.

The invention discloses a flood forecasting method suitable for a runoff data lack basin based on machine learning. The flood forecasting method comprises the following steps: 1) extracting and parameterizing sample basin features; 2) carrying out basin flood response characteristic analysis; 3) generating a drainage basin feature sample set; 4) generating a classification tree based on the basinfeature sample set; 5) generating a training data set based on the tree nodes; 6) carrying out flood forecasting based on the classification tree and the data driving model; and 7) updating the classification tree and the training set. Flood response characteristics of the drainage basin are analyzed by utilizing a machine learning algorithm; and based on the watershed characteristics and the flood response characteristics, an association relationship between watersheds is established. According to the method, the sample data set is generated on the basis of the basin characteristics and the flood response similarity, then the data driving model is trained according to the sample data set, the rainfall and flood response relation of the medium and small rivers is simulated, and therefore real-time forecasting of the flood of the medium and small rivers is achieved. According to the method provided by the invention, the data driving model can be applied to flood forecasting of runoff data lack drainage basins, and the dependence of a previous parameter transplanting mode on a model structure and model parameters is changed, so that the flood forecasting precision is improved.

The invention discloses an anomalous concrete tubular pile comprising a centre bore coaxially arranged with the pile shaft and end boards arranged at the two ends of the pile shaft, which is characterized in that the pile shaft positioned between the end boards is coaxially provided with a groove, and the transect of the groove is in semicircular shape, V-shape or U-shape, which are symmetrically or equally arranged around the pile shaft. The anomalous concrete tubular pile not only can be used for semi-rigid pile-soil composite foundation but also can be driven into soil as rigid pile; the tubular pile has the advantages of large superficial area, strong bearing capacity, and small use amount of concrete, and is particularly suitable for the geology of coastal areas and the Yellow River flood plain areas.

The invention discloses a river flood peak water level prediction method based on conditional probability distribution. According to the statistics of the flood peak water level and the propagation time series of upstream and downstream, on the basis of determining the marginal probability distribution function, the two-dimensional joint probability distribution function of upstream peak water level and downstream peak water level and propagation time is constructed by using a Copula function, and then the conditional probability distribution function of downstream peak water level and propagation time is solved when the upstream peak water level is given, and then the downstream peak water level and its occurrence time are predicted. The method of the present invention quantitatively gives regression curves of flood peak level of upstream section and flood peak level of downstream section, flood propagation time based on probability theory and mathematical statistics method. Comparedwith the conventional method of drawing empirical relationship curve by hand, the method of the present invention has stronger theoretical foundation, effectively reduces arbitrariness brought by handdrawing, and is more objective and reasonable.

The invention relates to a planting method for streamside flooding area wetland vegetation, in particular to a planting method for cold region streamside flooding area wetland vegetation. The planting method aims to resolve the problems that vegetation is planted parallel with the river bank in the recovery process of cold region streamside flooding area wetland vegetation, so that a large number of floating objects are wound on the vegetation when the river has a flood, the vegetation is rolled and beaten down by the flood and drift ice and even fully buried or pulled from the roots, and the primarily recovered wetland vegetation is catastrophically damaged. The planting method includes the steps that firstly, the planting direction of the vegetation is determined; secondly, plants are planted, and the planting method for the cold region streamside flooding area wetland vegetation is finished. The flood overflowing direction and the plant row direction are organically combined, a close planting method is adopted in each plant strip area, floating and suspension objects carried by the river flood can be effectively intercepted, the water quality of the river is improved, the interspecific competitive capacity in the recovery period of the plants is improved, and the recovery effect is improved.

The invention provides a river flood forecasting method based on flood type generalization. History data of a forecasting site is analyzed; a typical flood hydrograph of the site is determined; forecasting factors of flood peak/duration of the site are selected; a forecasting model of the flood peak/duration is established through adoption of a support vector machine; a typical flood mode is zoomed according to period-by-period flood peak/duration forecasting results of the model; and further period-by-period flood forecasting results of the site are obtained. Compared with the existing methodof forecasting a whole process of the flood, the method has the advantages that flood body shapes, peaks and duration are emphatically forecasted, a typical flood process of the to-be-forecasted siteis determined through utilization of a flood type generalization method, the forecasting model of the flood peak and duration is established through adoption of a support vector machine algorithm, finally a typical process is zoomed through utilization of the flood peak and duration forecasting results, and a whole flood forecasting result is obtained. Compared with the existing hydrology methodand a water conservancy model, the method is characterized by simplicity and rapidness.

The invention discloses a river channel multi-level intelligent ecological revetment system based on a sponge city. The system comprises a river channel, an ecological slope protection and a river bank, wherein a step type stone cage is arranged between the ecological slope protection and the river bank; trees and shrubs are planted on the river bank, the ecological slope protection comprises a clay layer, a denitrification layer, an adsorption layer, a filtering layer and a soil layer, wherein herbaceous plants are planted on the soil layer, and a water distribution pipeline is arranged at the top end of the ecological slope protection; an inductor control cabinet is arranged at the upper end of the step type stone cage, a water level sensor is arranged at the front end of the step type stone cage, the water level sensor is provided with a DO monitoring probe, and an aeration pump and a sewage pump are arranged in the river channel; and the water level sensor, the DO monitoring probe,the aeration pump and the sewage pump are connected to the inductor control cabinet, and the sewage pump and the water distribution pipeline are connected through a water collecting pipeline. According to the system, the effects of "water absorption, water storage, water seepage and water purification" during rainfall are fully realized, the problem that the purification effect in rainfall or river flood season of an ordinary ecological revetment is limited is solved, and the problem of poor water quality of the river channel in dry season is solved.

The invention provides a multi-spot water storage flood control method. A plurality of water storage ponds arranged at intervals are constructed on two sides of a water passage, a siphon is communicated between each water storage pond and the water passage, each siphon is made of a pipe with an upper arch, a siphon water injection port is arranged at the highest position of the arch of each siphon, a water injection valve is mounted on each pipe below the corresponding siphon water injection port, an inlet valve is mounted at one end of each siphon, which is close to the water passage, and an outlet valve is mounted at one end of each siphon, which leads to the corresponding water storage pond. The water storage ponds are dispersedly built on two sides of the water passage, the siphons are used for guiding water in the water passage into the water storage ponds, and compared with a method for building a dam or reservoir, the method has the advantages of low investment, short construction period, benefit to sufficient use of water, no ecosystem damage and effective flood control. The multi-spot water storage flood control method is suitable for river flood control and comprehensive water use.

The invention discloses a small river flood forecasting method. By using the open source GIS codes for the secondary development, the GIS requirement of flood forecasting can be met. Meanwhile, through the classification of the model calculation engines, the flexible configuration of the models, the automatic extraction of a drainage basin and the matching association of a node topological relation are achieved, the automatic and flexible construction of a scheme is achieved, and the workload of scheme operators can be saved to a large extent while the forecasting precision of medium and smallrivers is improved.

The invention discloses a construction technology and construction method for a large-particle-size pebble stratum super-deep foundation pit in the strong water permeation environment of a Yellow River flood plain. The construction technology comprises enclosing structure construction, dewatering construction and main body structure construction and is characterized in that the enclosing structure construction consists of a 1.2m-thickness reinforced concrete underground continuous wall and a 0.8m-thickness plain concrete water stopping wall, a lining wall of a foundation pit wall and the continuous wall adopt a superimposed wall structural form, end reinforcing sleeve valve pipes are grouted, and a main body structure adopts fully enclosed water-proof design; the dewatering construction adopts a treating means combining a continuous wall water stopping curtain and foundation pit bottom sealing in-pit dewatering; and the main body structure construction is carried out in a way that the main body is of a five-layer cast-in-place reinforced concrete box type framework structure, 34 lattice columns are arranged in the foundation pit to support the weight of the main body structure, construction is carried out by an open excavation reverse construction means, and excavation construction is carried out for six times. The technology and the method overcome the defects of the traditional construction of the large-particle-size pebble stratum super-deep foundation pit in the strong water permeation environment of the Yellow River flood plain and can provide a great reference for further similar engineering.

The invention discloses a generalized second-category beta distribution based flood frequency analysis method, and belongs to the field of flood prediction in hydrology. The method introducing generalized second-category beta distribution into flood frequency analysis for the first time includes: building a flood probability density predication model, adopting the maximum entropy principle according to distribution function characteristics to realize parameter deduction of the flood probability density predication model, substituting a historical river flood peak sequence into a parameter deduction equation to work out parameters, then substituting the parameters into the flood probability density predication model, and finally utilizing the complete flood probability density predication model to perform probability prediction of massive floods. The flood probability analysis method is extraordinarily suitable for hydrologic frequency analysis, fitting effect is basically superior to that of other traditional distribution in hydrology, and a more effective approach is provided for hydrologic frequency analysis.

The invention discloses a method and a system for treating a black and odorous river channel with dual synaesthesia tides. The treatment system includes an upstream water inlet gate, a downstream water outlet gate and a control center; The upstream inlet estuary of the river channel, the downstream outlet gate is arranged at the downstream outlet estuary of the dual-sense tide black and odorous channel; the upstream inlet sluice gate and the downstream outlet sluice gate are respectively connected with the control center. Through the PLC automatic control system of the control center, according to the liquid level information fed back by the inner liquid level gauge and the outer liquid level gauge, jointly dispatch the opening and closing of the upstream inlet gate, downstream outlet gate, tributary estuary gate, large-flow axial flow pump, and large-scale drainage vehicle. closure. The method of the invention is suitable for the rapid and effective relief of the black and odorous river channels of the double synaesthesia tide, and does not affect the functions of flood control, navigation, waterlogging drainage and the like of the river channel, and is a double channel with the advantages of short construction period, low investment, low operation cost, convenient maintenance and the like. Comprehensive management methods for black and odorous rivers.

The invention discloses an urban river flood three-dimensional inundation analysis method based on oblique photography. The method comprises the steps of oblique photography flight, ground image control point measurement, hydrological data and humanistic economic data collection and processing, oblique three-dimensional model and high-precision DSM data generation, three-dimensional submerged water surface calculation generation, multi-source data integration and three-dimensional submerged effect display, quantitative analysis of submerged disaster conditions and the like. By using the method, the simulation precision of urban river flood inundation can be greatly improved, a decision maker can conveniently, quickly and accurately formulate a flood fighting and disaster relief strategy, the flood fighting and disaster relief efficiency is improved, the time is saved, and further loss is reduced.