14 results about "River level" patented technology

The invention provides a surface water-underground water integrated simulation method and system coupled with a glacier module, the method is based on an extended SWAT-GL model, rainfall, accumulated snow melt water and glacier melt water are jointly used as daily effective rainfall input, infiltration supply and river water level are transmitted to MODFLOW through a daily interface, and the water level of the MODFLOW is effectively simulated. And simulating underground water head change and surface water-underground water exchange capacity by utilizing a three-dimensional underground water flow equation, and feeding back a result to SWAT-GL river water balance, thereby realizing bidirectional dynamic coupling of the glacier-accumulated snow-surface-underground water whole process. The system breaks through the limitation that glacier mass balance and groundwater dynamics are difficult to depict synchronously in cold region simulation, can reveal a supply and regulation mechanism of glacier melt water to a groundwater system under the driving of climate change under a fine time scale, and remarkably improves the simulation capability of a cold region water circulation key process.

The utility model relates to the technical field of ecological management, in particular to a riverway water conservancy ecological management floating platform which comprises a mounting frame, an adjusting frame, sliding blocks, sliding rods and an auxiliary assembly, the mounting frame is fixedly connected with a mounting rope, the sliding blocks are fixedly connected with the mounting frame, the sliding rods are slidably connected with the sliding blocks, and the adjusting frame is fixedly connected with the sliding rods. When the horizontal plane of the river channel rises, a mounting frame is driven to move, the mounting frame moves to drive a sliding block to move on a sliding rod, meanwhile, the mounting frame drives a mounting rope to move, and the mounting rope moves to drive a treatment device to move, so that the treatment device is freely adjusted according to the height of the horizontal plane of the river channel. And one end, far away from the mounting rope, of the fixed anchor rod is obliquely inserted into the river bank for fixing the floating platform, however, the floating platform of the device cannot be adjusted according to the horizontal plane due to inconsistent horizontal planes of the river channel in rainy seasons, so that the universality of the device is reduced.

The application provides a kind of coupling ice module surface water-groundwater integrated simulation method and system, which is based on the extended SWAT-GL model, and inputs rainfall, snowmelt and glacial melt water as daily effective rainfall, transfers the infiltration recharge and river level to MODFLOW through daily interface, simulates the change of groundwater head and the exchange amount of surface water-groundwater by using three-dimensional groundwater flow equation, and feeds back the results to SWAT-GL river water balance, realizes the two-way dynamic coupling of the whole process of glacier-snow-surface-groundwater. The system breaks through the limitation that it is difficult to simultaneously depict the glacier mass balance and groundwater dynamics in cold region simulation, and can reveal the recharge and regulation mechanism of glacial melt water to groundwater system under the driving of climate change at a fine time scale, significantly improving the simulation capability of key processes of water cycle in cold regions.

1. Name of the product in this design: Water level and flow rate monitor. 2. Purpose of this design: A portable measuring device for monitoring river water levels and flow rates. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a radon tracing-multi-field coupling river bank karst collapse dynamic early warning method, and belongs to the field of geological disaster monitoring and early warning. The method comprises the following steps: collecting radon concentration data of river water and underground water on both sides along a target river reach system by using a portable radon detector; calculating underground water discharge flux based on the radon concentration data, and generating a discharge flux distribution diagram through spatial interpolation; establishing a radon isotope-seepage-subsurface erosion-mechanical stability multi-field coupling model; based on the multi-field coupling model, calculating karst collapse stability coefficients under different water exchange intensities; determining the variable amplitude of the critical river water level as an early warning threshold value, and dividing risk grades; and dynamic early warning and graded prevention and control based on river water level monitoring are implemented. The radon isotope tracing technology and the multi-field coupling model are combined and applied to karst collapse early warning for the first time. A complete disaster-causing chain of river water level fluctuation, water exchange enhancement, subsurface erosion development, permeability increase and sudden collapse is disclosed.

The application discloses a kind of river bank line and river level height measurement method based on three-dimensional laser point cloud, comprising the following steps: erecting laser radar on river, collecting the point cloud in target area, clustering extraction river bank line point cloud, obtaining the two-dimensional projection point cloud of river bank line point cloud, based on concave hull algorithm obtains the point cloud coordinate of river bank profile, creates water surface elevation table;The water surface elevation table created in, horizontal table header indicates the position of river bank profile in river, vertical table header indicates the x coordinate, z coordinate of corresponding position.The application can not only measure the horizontal position of river bank line compared with traditional method, but also obtain its relative height, further fit accurate river water level equation on this basis, provide information support for hydrological measurement and ship overheight early warning system.

The invention relates to the technical field of town drainage control, solves the technical problems of inflexible adjustment and response lag caused by traditional fixed threshold triggering and remote monitoring control, and particularly relates to a forced drainage system control method for a town drainage network, which comprises the following steps: periodically collecting real-time water level data, and synchronously recording a collection timestamp; according to the difference value of the water level changes delta h1 and delta h2 of the riverway and the inland river within the time delta t, the rising speeds of the water levels on the two sides are calculated respectively; performing multi-stage filtering processing on the water level rising speed to obtain a final water level rising speed; and executing a dynamic cooperative control strategy of actively switching the operation mode to shorten the waterlogging response time. According to the invention, efficient, energy-saving and reliable operation of the urban drainage system is realized through multi-mode cooperative control, an intelligent prediction algorithm and a hierarchical adjustment strategy. The system has good adaptability and expansibility, and parameter adjustment and function expansion can be carried out according to hydrological conditions and flood control standards of different regions.

The application discloses a mountain torrent disaster early warning index correction method under non-stationary conditions and relates to the technical field of disaster early warning, which comprises the following steps: step one, collecting rainfall, river level and branch stream convergence inlet water flow movement data in real time and preprocessing; step two, calculating a river jacking model by using the preprocessed data, predicting the jacking effect, and if the jacking effect exists, proceeding to step three, and if the jacking effect does not exist, keeping a critical rainfall threshold; step three, further calculating a hydrological state model, predicting whether the branch stream breaches the bank, updating the threshold and early warning if the branch stream breaches the bank, and returning to step two if the branch stream does not breach the bank. The application collects multiple data by using ultrasonic sensors and electromagnetic current meters, builds a model to predict the jacking effect, dynamically updates the critical rainfall, avoids the adaptation failure of the traditional fixed threshold, prevents early warning lag from aggravating disasters, disassembles water flow data, differentiates and weights in different zones, improves the precision of hydrological evaluation, combines data preprocessing, and provides reliable support for mountain torrent early warning and flood control decision-making under non-stationary conditions.

The invention relates to the field of water level self-adaptive prediction, and discloses an inland river water level self-adaptive prediction method based on a deep learning prediction model, which comprises the following steps: acquiring inland river associated data of an inland river channel, carrying out data space-time characteristic statistical analysis, and carrying out matrix construction on the space-time of the data; the method is used for constructing a model for predicting the water level in real time, finally conducting closed-loop learning updating on the model, and controlling the model to achieve self-adaptive inland river water level prediction. According to the method, high-precision inland river water level prediction can be adaptively realized through a multi-source data driving mode, and the prediction efficiency and the prediction accuracy are improved.

The invention relates to the technical field of pump station control, in particular to a pump station remote water gate opening degree control method and system. A control unit of the pump station is in a local control state, a first water level gauge sends a monitored real-time outer river water level value to the control unit, and a second water level gauge sends a monitored real-time inland river water level value to the control unit; the difference value between the real-time outer river water level value and the real-time inland river water level value can reflect the water level difference value between the inner river and the outer river at the pump station, starting and stopping of a hydraulic lifting cylinder are controlled based on the real-time outer river water level value and the real-time inland river water level value, a gate of the pump station is driven to ascend and descend through the hydraulic lifting cylinder, and the opening degree of a water gate of the pump station is adjusted; for example, when the water level difference value is too large, a gate of the pump station is driven to ascend, and therefore the opening degree of the water gate of the pump station is increased; when the water level difference is small, the gate of the pump station is driven to descend, so that the opening degree of the water gate of the pump station is reduced; manual operation is not needed any more, and the opening degree of the gate of the pump station can be adjusted more timely and efficiently.

1. The name of the design product: integrated pump gate. 2. The use of the design product: for realizing drainage and preventing high water level in inland river. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view.

The invention provides an underground water level change prediction system based on machine learning. The underground water level change prediction system comprises a data acquisition module, a data preprocessing module, a feature engineering module, a machine learning prediction model module and a prediction result output module, according to the method, a comprehensive feature set containing multi-source data such as underground water level time sequence data, rainfall, evaporation, river water level and soil humidity is constructed, modeling is performed by using a high-performance machine learning model such as a gradient boosting decision tree, and a complex nonlinear relation and a hysteresis effect for driving underground water level change can be deeply excavated; and the prediction precision is obviously improved. According to the method, a complete automatic process from data acquisition, cleaning and feature engineering to model prediction and result output is integrated. The feature engineering module can flexibly construct features with physical significance according to a hydrological cycle, manual experience intervention is reduced, and the intelligence and the adaptive capacity of the system are improved; cloud or local deployment is supported, and a convenient data interface and a user access interface are provided.

This invention relates to the field of adaptive water level prediction, and discloses an adaptive inland river water level prediction method based on a deep learning prediction model. The method includes the following steps: collecting inland river correlation data and performing spatiotemporal characteristic statistical analysis of the data; constructing a matrix for the spatiotemporal analysis of the data to build a model for real-time water level prediction; and finally, performing closed-loop learning and updating of the model to control the model to achieve adaptive inland river water level prediction. This invention can adaptively achieve high-precision inland river water level prediction through a multi-source data-driven approach, improving prediction efficiency and accuracy.

The present application provides a kind of river type narrow foundation pit anti-heave stability calculation method, by considering the blocking effect of circular sliding heave on side soil and supporting structure, introduce topographic related factors slope angle and river distance, and river level variation produces four parameters of force and seepage force to traditional calculation method, obtain the calculation result of river type narrow foundation pit anti-heave stability.The upper part of the soil in the soil outside the pit slope angle and river distance, and river level variation produces force and seepage force to pit.The upper part of the soil in the soil outside the pit slope angle and river distance two parameters are to reflect the uneven terrain problem of calculating the river type narrow foundation pit outside the pit soil, make up the defect that traditional method does not consider the pit outside terrain factor.The river level variation produces force and seepage force two parameters to pit in order to reflect the influence problem of calculating the river type narrow foundation pit outside the river, make up the advantage that traditional method does not consider the pit outside river influence factor.