22 results about "Suspended load" patented technology

The application discloses a kind of long-time sequence monitoring method and system of suspended load sediment concentration based on multiple river section scales, and relates to river monitoring technical field.The method includes the following steps: obtaining long-time sequence multispectral remote sensing image data and environmental data of the river to be detected, and pre-processing the multispectral remote sensing image data;According to the pre-defined river boundary, divide the river section, and extract the water body pixels of each river section by water surface extraction method;Using median extraction strategy to calculate the band reflectance and band index of each river section;Using machine learning algorithm to predict the suspended load sediment concentration of band reflectance, band index and environmental data.The present application carries out long-term monitoring of sediment concentration of different river section scales based on remote sensing data, and predicts by combining machine learning algorithm, which can accurately grasp the subtle dynamic changes of river sediment.

An experimental device and method for measuring a motion probability of nonuniform sediment are provided. The method includes: dyeing sediment of different particle sizes to obtain nonuniform dyed sediment, sticking sediment with the same grades to the bottom of a flume to form a rough plate; soaking the nonuniform dyed sediment, laying the nonuniform dyed sediment on the sediment feeder, transporting the sediment by water with given intensity, and once the flow is stable, starting the sediment feeder to perform a test until the sediment stops moving. Collecting, drying and sieving the sediment in the bedload collector and the suspended load collector, and weighing the dyed sediment of different particle sizes. Computing the incipient probability and the suspension probability respectively by measuring the weight ratios of the sediment of different grades from the two collectors to the initial ones.

The invention discloses a river basin sediment production estimation method based on a dynamic evolution process of a river-blocking barrier lake, and the method comprises the steps: carrying out the comparative analysis of key physicochemical characteristic parameters through an identification event layer in a residual barrier lake deposition sequence, and constructing a disaster chain extreme surface process river basin sediment production estimation method. Water level changes, hydrodynamic conditions and material source changes of the barrier lake are comprehensively analyzed, different sand production stages from the stable period, the decline period and the extinction period of the barrier lake are divided, the sediment change history from lacustrine facies suspended load to flood plain bed load is analyzed, and a complete barrier lake formation-evolution full life cycle evolution process mode is constructed. A layered triangular irregular network model is constructed to obtain layered accumulated sediment volume data, the layered volume and mass are calculated based on a dry density field of sedimentary stratification and spatial interpolation so as to calculate the total sediment yield, a physical information neural network model inverts a sedimentary thickness field, sediment yield estimation is achieved, and the non-stationary dynamic evolution characteristics of water and sediment of the barrier lake are quantified.

The invention relates to the technical field of debris flow prevention and control, in particular to a novel honeycomb debris flow blocking structure of a water diversion project and a construction method thereof. The structure adopts a spatial honeycomb leakage type design, and is formed by sequentially connecting an upstream grid structure, a downstream multi-section honeycomb structure and an outlet energy dissipation and scour prevention section. The upstream grid structure is provided with multiple layers of water inlets for introducing water flow and blocking debris flow impact; the downstream honeycomb structure discharges suspended load through multiple stages of energy dissipation steps and orifices; and the outlet section adopts a diffusion type energy dissipation and scour prevention design. Bed loads in debris flow can be effectively intercepted, suspended loads are discharged, the arresting efficiency and the structural durability are improved, and the structure is suitable for debris flow prevention and control of water diversion projects in mountainous areas and has the advantages of being high in impact resistance, low in manufacturing cost and easy and convenient to construct.

The invention discloses a double-U-shaped lifting rod opening and closing type suspended load continuous sampling device and a sampling method, and belongs to the technical field of hydrological monitoring. The device comprises a double-U-shaped lifting rod opening and closing mechanism, a stratified sampling assembly, an intelligent control system, a base lifting system and a floating ball auxiliary structure, and a sampling bin end cover is controlled to be opened and closed through linkage of a double-U-shaped lifting rod and a stepping motor; an intelligent control system is integrated with a pressure / temperature sensor to achieve accurate layered triggering, and a base lifting system (a lead filling square plate, an underwater winch and a relay buoy) is matched with a floating ball to support unattended sampling in severe weather such as typhoon. The sampling method comprises the steps of system initialization, end cover opening, lowering monitoring, layered bin closing and recovery maintenance. According to the invention, single-person operation is realized, high efficiency, accuracy, labor saving and compliance are considered, the device is suitable for complex environments such as different water depths, high sand contents and severe weather environments, and hydrological specification requirements are met.

The application discloses a kind of high sediment concentration remote sensing inversion method and device of suspended load based on Sentinel-2 image, first, the satellite multispectral data and measured sediment concentration data of target water area are collected, and are preprocessed;Then the initial spectral feature set including the band feature combination of visible light-short wave infrared range is constructed, then the cross-validation recursive feature elimination algorithm (RFECV) is used to carry out preliminary screening from initial feature library, then according to spectral sensitivity analysis, the optimal feature subset is obtained by fine screening;Again, using random forest (RF) model is based on optimal spectral feature and sediment concentration data set training, constructs suspended load sediment concentration inversion model;Finally, the model is applied to realize the remote sensing inversion of high sediment concentration of suspended load, generates the sediment concentration time series of target water area.The present application effectively overcomes the common spectral saturation problem under high sediment concentration condition, can realize high-precision inversion in 0-45 kg / m³ concentration range, significantly improves the robustness and accuracy of suspended load high sediment concentration remote sensing inversion.

The invention discloses a method for constructing a pipe bottom sediment scouring model of an SWMM open source model, which comprises the following steps of: S10, constructing a one-dimensional pipe bottom sediment scouring and depositing theoretical model by combining an SWMM water quality model and a two-dimensional suspended load scouring and depositing function; s20, establishing a theoretical model numerical calculation equation according to the one-dimensional pipe bottom sediment scouring deposition theoretical model and an SWMM water quality model numerical method; step S30, updating an SWMM water quality open source calculation engine based on the theoretical model numerical calculation equation; and S40, calling the SWMM water quality open source calculation engine to calibrate the pipe bottom scouring parameters of the localized model. A convenient and efficient water quality model is provided for research on river discharge pollution of a pump station of an urban rain drainage system, the model integrates the advantages of a scouring model and a sand carrying force model, improvement is carried out based on an SWMM open source model, the method is simple and easy to implement, and the depth and efficiency of research on pollution movement change of the rain drainage system are improved.

This invention discloses a method, system, and medium for determining the suspended sediment transport threshold at the watershed outlet and attributing the main controlling factors. The method includes the following steps: 1. Watershed data and multi-factor coding; 2. Definition and extraction of physical constraint thresholds; 3. Batch simulation of multiple scenarios; 4. Generation of monthly-scale threshold sequences; 5. Control variable attribution analysis. This application achieves a formal definition and extraction of the suspended sediment transport threshold at the watershed outlet within a distributed water and sediment model framework. Based on the control variable method and massive scenario simulation, it quantitatively identifies and ranks the contributions of different natural and anthropogenic factors to the change of this threshold, thereby providing a scientific basis for watershed sediment regulation and management.

The invention provides a lightweight deep learning model-based water and sediment hysteresis loop automatic classification method and system, and relates to the technical field of hydrology and water resource and river sediment monitoring. The method comprises the following steps: firstly, acquiring runoff and suspended load concentration process data of a karst basin rainstorm event, completing event division, time alignment and unit unification, and mapping a runoff-suspended load concentration relation into a lag loop image; constructing a training set, a verification set and a test set through image preprocessing and data enhancement; a lightweight convolutional neural network is adopted for training and verification, and a hysteresis loop classification model is obtained; and inputting a to-be-detected image into the model for reasoning, and outputting the category and confidence of the lag loop. According to the method, standardized imaging and lightweight intelligent identification of the hysteresis loop are realized, and the problems of high subjectivity of manual interpretation and difficulty in complex form identification are solved.

The utility model discloses a novel sediment sampler suitable for suspended sediment in the technical field of hydraulic engineering, which comprises a base, a support, a container and a sampling tube, the support is connected with the base, the container is fixed on the support, the container is provided with a closed inner cavity, the container is hermetically connected with a connecting tube communicated with the inner cavity of the container, and the sampling tube is connected with the connecting tube. A vacuum pump in sealed connection with the connecting pipe is arranged on the support, the bottom end of the container is in sealed connection with a discharging pipe, the first end of the sampling pipe is in sealed connection with the container and communicated with an inner cavity of the container, the second end of the sampling pipe is used for sucking silt, a first water stop valve is arranged in the sampling pipe, and a second water stop valve is arranged in the discharging pipe. The electric control assembly is electrically connected with the first water stop valve, the second water stop valve and the vacuum pump. The sampling device solves the technical problems that the existing device is large in size, heavy, low in sampling accuracy and incapable of continuously and uniformly sampling, and is simple in structure and capable of continuously and uniformly sampling.

The invention provides a method for synchronously monitoring river bed load and suspended load. The method comprises the following steps: (1) an acceleration sensor and an underwater microphone are fixed in a sealed metal aluminum frame, and the metal aluminum frame is flush with a riverbed; a metal basket is arranged at the lower edge of the metal aluminum frame and used for capturing bed load particles and calibrating sensor data; (2) vertically installing a high-frequency ADCP in the center of a riverbed to measure a flow velocity profile; the high-precision turbidity meter is arranged at the upstream of the high-frequency ADCP to record the suspended load concentration; meanwhile, the electronic water level gauge is installed on the bank of the river channel to record water level changes; and (3) analyzing the particle size distribution and transportation amount of the bed load according to the data processing module, and inverting the suspended load flux in combination with ADCP and turbidity meter data. According to the method, the monitoring precision and efficiency are remarkably improved, interference to river ecology is reduced, and reliable data support is provided for river regulation and ecological restoration in a complex environment.

The invention relates to a river sediment erosion and deposition prediction method based on a two-dimensional water-sediment mathematical model. The method comprises the following steps: establishing a model coordinate system; constructing a control equation set; solving the model; calculating dynamic boundary and suspended load sediment transport; setting definite solution conditions of the two-dimensional water and sediment mathematical model; and outputting river sediment scour and deposition thickness distribution in the future target year based on a calculation result of the two-dimensional water-sediment mathematical model. The invention further relates to a prediction system using the river sediment erosion and deposition prediction method based on the two-dimensional water-sediment mathematical model. The prediction system comprises an erosion and deposition change data management module, a section data management module, a prediction management module, a model calculation module and a result output module. According to the method, the calculation precision is improved, the calculation efficiency is improved, the continuity of the water flow control equation in the dry-wet alternation region is ensured, and the prediction accuracy is improved; the integrity of the silt erosion and deposition calculation prediction data is ensured, the prediction data can be conveniently input, and rapid prediction is realized.

The application provides a catchment sediment estimation method, which comprises the following steps: collecting various types of basic data of a target catchment, arranging the basic data into a grid form and performing unified spatial registration, dividing the various types of basic data based on the small catchment boundary as the spatial unit of sediment estimation; for each small catchment, calculating the gravity erosion, debris flow erosion, gully erosion and slope erosion respectively to obtain the time and space distribution of various types of erosion and total erosion in the target catchment; for the above four types of erosion, calculating the sediment yield and deposition of the small catchment scale respectively; based on the calculated sediment yield, calculating the suspended sediment transport capacity of the small catchment in the main river system according to the upstream and downstream relationship of the small catchment in the target catchment, and combining the dredging, reservoir sedimentation and the input and output of the suspended sediment in the river section to obtain the distribution of the suspended sediment transport capacity along the flow direction of the main river system. The application can comprehensively quantify the time and space distribution of the sediment in the erosion of the catchment, the sediment yield of the catchment and the sediment transport of the river.

The invention relates to the technical field of detection, in particular to a river suspended load sediment measuring device and method.The river suspended load sediment measuring device comprises a support, a supporting pipe, a supporting beam, a sediment sampler and a driving assembly, the supporting pipe is vertically arranged at the lower end of the support, and in the sampling process, the supporting pipe is located underwater; the supporting beam is slidably arranged on the supporting pipe and can move along the axis of the supporting pipe, and the sediment sampler is arranged at the end, away from the supporting pipe, of the supporting beam. The sediment sampler is provided with the driving assembly, and under the control of the driving assembly, the sediment sampler can move at a constant speed along the axis of the supporting pipe and can also intermittently move along the axis of the supporting pipe, so that two sampling requirements of sampling by a time-accumulation method and sampling by a depth-accumulation method can be met at the same time; and two different samplers do not need to be configured at the same time, so that the use is more convenient.

The invention relates to a marine riser bottom goose neck local scour depth and fatigue damage prediction method, and belongs to the technical field of ocean engineering. The method comprises the following steps: carrying out hydrodynamic analysis on a goose neck part at the bottom of the marine riser to obtain a pipe surface pressure time history, a shear stress time history and a seabed bottom shear force; calculating sediment movement by combining a suspended load and bed load sediment transport model to obtain real-time change of bed surface elevation and local dynamic scouring depth; fusing the pressure time history and the shear stress time history of the pipe surface to obtain a fusion load vector; carrying out structural dynamics coupling analysis on the basis of the vector, synchronously updating a time-varying stiffness matrix, and solving a structural motion equation through a Newmark-beta method to obtain a fatigue hotspot node stress time history; processing through a rain flow counting method to obtain a stress range spectrum; and calculating the total fatigue damage and predicting the fatigue life by combining a marine environment S-N curve and a Miner linear cumulative damage rule. The accuracy of fatigue life prediction can be improved.

The invention provides a natural collection device and method for in-situ quantitative analysis of food source composition of benthonic animals in suspended load, and relates to the technical field of ecological monitoring of benthonic organisms. The device comprises a streamline cavity, a built-in water flow speed reducing pipe and a suspended load collecting bin. The water flow speed reducing pipe is of a reducing S-shaped bent pipe structure with the front small and the rear large, a water inlet of the water flow speed reducing pipe is in a horn mouth shape, and a long notch is formed in the bottom in the axial direction. The device is suspended in water through the steel wire rope, water flow naturally flows into the speed reducing pipe, and after the water flow is gradually decelerated through the S-shaped reducing bend, suspended load stably settles through the long notch and enters the collecting bin. The in-situ layered collection of the suspended load is realized in a passive and low-disturbance mode, the problems of sample distortion and missed collection of fine particles caused by large water flow disturbance of a traditional device are effectively solved, the accuracy and reliability of food source analysis are remarkably improved, and the device is suitable for long-term ecological monitoring of different water area environments.

The invention provides a source identification and source tracing method and system for mountain river sediment sediments. The method comprises the following steps: screening candidate sampling points and optimizing layout; based on the remote sensing data, identifying and classifying different types of potential sediment source areas through a preset vegetation index and gradient threshold value combination; collecting suspended load samples on the basis of sampling points with optimized layout, and performing multi-parameter analysis to construct a sediment characteristic database; key indexes are extracted based on the sediment feature database, and a fusion feature matrix is constructed; based on the fusion feature matrix, constructing a classification identification model used for distinguishing the samples to different potential sediment source areas; calculating the relative contribution rate of each potential source area to the target sample by adopting a mixed decomposition model; and based on a Bayesian inversion model, performing uncertainty analysis on the relative contribution rate, and quantifying a confidence interval and credibility of the relative contribution rate. The method can realize high-precision identification and quantitative traceability of the source of the river sediment in the mountainous area, and provides technical support for research and ecological management of river basin erosion sediment production.

The application relates to a method for predicting local scouring depth and fatigue damage of a marine riser bottom goose neck, and belongs to the technical field of ocean engineering. The method comprises the following steps: performing fluid dynamics analysis on the local goose neck of the marine riser bottom to obtain pipe surface pressure time history, shear stress time history and seabed bottom shear force; combining the suspended load and the sediment transport model to calculate sediment movement, and obtaining real-time changes of the bed elevation and the local dynamic scouring depth; fusing the pressure time history and the shear stress time history of the pipe surface to obtain a fused load vector; performing structure dynamics coupling analysis based on the vector, synchronously updating a time-varying stiffness matrix, solving a structure motion equation through a Newmark-beta method, and obtaining a fatigue hot spot node stress time history; processing the stress range spectrum through a rain flow counting method; combining an ocean environment S-N curve and a Miner linear cumulative damage rule to calculate total fatigue damage and predict fatigue life. The application can improve the accuracy of fatigue life prediction.

This invention belongs to the field of river suspended sediment concentration prediction technology, specifically disclosing a method and system for predicting river suspended sediment concentration based on monthly weighting. The method includes: acquiring daily historical hydrological and meteorological characteristics of the river to be measured; performing monthly data synthesis and time-series matching on the acquired data to obtain monthly composite data for each feature; performing standardization on the current month to obtain monthly relevant features; performing standardization on the monthly composite data for each feature separately; and inputting the monthly relevant features and the standardized monthly composite data for each feature into a trained suspended sediment concentration prediction model to obtain the predicted river suspended sediment concentration for the current month. This invention enables dynamic modeling of the driving factors of suspended sediment transport in different months, improves the prediction model's ability to characterize seasonal patterns, and enhances the prediction accuracy for sudden and highly nonlinear sediment transport processes.

The utility model relates to a flood discharge gate flow surface abrasion-resistant structure which is used for preventing a flood discharge gate from being eroded and damaged by bed load and suspended load in water flow sediment and comprises an abrasion-resistant concrete layer and an epoxy mortar layer, the flood discharge gate comprises a gate chamber bottom plate and a gate pier, the abrasion-resistant concrete layer is arranged on the upper surface of the gate chamber bottom plate, and the epoxy mortar layer is arranged on the upper surface of the gate pier. And the epoxy mortar layer is arranged at the overflowing surface position of the side face of the gate pier, extends towards the bottom side of the gate pier and covers the anti-abrasion concrete layer with the preset width, and the overflowing surface position of the gate pier is close to the preset height of the bottom side. According to the anti-abrasion structure for the overflow surface of the flood discharge gate, the anti-abrasion performance of the overflow surface of the flood discharge gate can be improved, and the erosion of high-speed water flow containing silt can be effectively resisted.

The invention belongs to the technical field of river suspended load sediment concentration prediction, and particularly discloses a river suspended load sediment concentration prediction method and system based on monthly scale weighting, and the method comprises the steps: obtaining the historical data of the daily hydrological characteristics and meteorological characteristics of a to-be-detected river, carrying out the monthly data synthesis and time sequence matching of the obtained data, and carrying out the calculation of the monthly data synthesis and time sequence matching; obtaining monthly synthetic data of each feature; performing standardization operation on the current month to obtain month related characteristics; standardization operation is carried out on monthly synthesized data of each feature; and respectively inputting the month related features and the monthly synthetic data after standardization of each feature into a trained suspended load sediment concentration prediction model to obtain a river suspended load sediment concentration prediction result of the current month. According to the method, dynamic modeling of suspended load sediment transportation driving factors in different months can be realized, the description capability of a prediction model on a seasonal rule is improved, and the prediction precision of a sediment transportation process with strong burstiness and nonlinearity is improved.