CN-121980797-A - Simulation prediction method and system for dredged material diffusion and accumulation in port channel region

CN121980797ACN 121980797 ACN121980797 ACN 121980797ACN-121980797-A

Abstract

The invention provides a simulation prediction method and a system for dredged material diffusion and accumulation in a port channel region. The method comprises the steps of constructing a condition parameter database as an initial condition, constructing a basic database as a boundary condition, solving a multi-field coupled hydrodynamic model to obtain hydrodynamic field parameters, constructing a dredge migration-sedimentation model comprising diffusion, sedimentation and scouring-sedimentation processes, correcting parameters of the hydrodynamic model and the dredge migration-sedimentation model through a Kalman filtering algorithm, carrying out simulation prediction on the dredge diffusion range and the sedimentation quantity based on the corrected model, verifying simulation prediction results, generating a dredge diffusion range diagram and a sedimentation quantity statistical report, and carrying out visual display. According to the invention, by constructing the multi-field coupling hydrodynamic model and the dredge migration-sedimentation model and combining with the real-time monitoring data to dynamically correct model parameters, the accurate and efficient simulation and prediction of the dredge diffusion range and sedimentation amount are realized.

Inventors

ZANG ZHIPENG
HUANG YUJIE
WANG CONG
SUN JINGJUN

Assignees

天津大学

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (8)

1. A method for analog prediction of dredged material spread and accumulation in a port channel area, the method comprising: acquiring sea area overall hydrodynamic force and sediment characteristic data based on historical data of a port channel area and sea surface sediment concentration multisource satellite data, and constructing a condition parameter database; constructing a basic database based on the geospatial data, the hydrographic data, the dredging engineering parameters and the dredged object characteristic data of the port channel region; Based on the condition parameter database and the basic database, constructing an atmospheric-tide-wave-runoff coupling hydrodynamic model by adopting a finite volume method to obtain hydrodynamic field parameters; Constructing a dredged material migration-sedimentation model comprising diffusion, sedimentation, scouring-sedimentation processes based on dredged material characteristic data and hydrodynamic field parameters; based on the hydrodynamic parameters and dredge concentration data acquired in real time, correcting parameters of a hydrodynamic model and a dredge migration-accumulation model through a Kalman filtering algorithm; inputting dredging engineering parameters into the corrected model, and carrying out simulation prediction on the diffusion range and the sediment quantity of the dredged objects; Verifying the simulation prediction result, if the result error is smaller than a preset threshold value, generating a dredged object diffusion range diagram and a sediment volume statistical report, otherwise, revising parameters of a hydrodynamic model and a dredged object migration-sediment model; The sediment diffusion range diagram and the sediment volume statistical report are displayed in a graph and a chart form through a visualization technology.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises, The geospatial data includes channel terrain data, shoreline distribution data, and seabed substrate type data; The hydrographic meteorological data comprise historical and real-time tide data, wave data, runoff data, wind speed and wind direction data; The dredging engineering parameters comprise dredging operation point coordinates, dredging intensity, operation time and dredging equipment type; Dredge characterization data includes particle size distribution, density, sedimentation velocity, critical activation flow rate.
3. The method of claim 1, wherein constructing the hydrodynamic model of the atmospheric-tidal-wave-radial coupling using a finite volume method based on the condition parameter database and the base database, the method of obtaining the hydrodynamic field parameters comprises: based on a non-static model flow field control equation, introducing a wave radiation stress term, a runoff supply term, coriolis force and friction force to construct a basic coupling control equation; dividing a harbor channel region into grids according to the geospatial data in a basic database, encrypting a shallow channel water region and an operation region by adopting unstructured grids, and discretely solving a coupling control equation to obtain an atmospheric-tide-wave-runoff coupling hydrodynamic model; And taking the data in the condition parameter database as an initial condition, taking the hydrographic data in the basic database as a boundary condition, and solving a hydrodynamic model to obtain hydrodynamic field parameters, wherein the hydrodynamic field parameters comprise flow velocity, flow direction, water level, wave height and wave period.
4. A method according to claim 3, wherein the non-static model flow field control equation comprises: Momentum equation: x direction: ; y direction: ; z direction: ; Wherein u, v and w are flow velocity in x, y and z directions respectively; is the reference density of the seawater to be used, P is the total pressure including static pressure and non-static pressure; the viscosity coefficient of turbulent vortex is f is a Ke's parameter, g is gravity acceleration, and t is time; Continuity equation: ; free-face equation: ; In the formula, The value of the free surface rise relative to the hydrostatic surface, h is the depth of the hydrostatic surface, and the integral term represents the volume flux in the horizontal direction.
5. The method of claim 1, wherein constructing a dredge migration-fouling model comprising a diffusion, sedimentation, scour-fouling process based on dredge characteristic data and hydrodynamic field parameters comprises: Dividing the dredged material into a plurality of particle groups according to the particle grading in the characteristic data of the dredged material, setting sedimentation speed and critical starting flow speed parameters for different particle groups, and tracking the motion trail of the dredged material particles by adopting a Lagrange particle tracking method or an Euler-Lagrange method; Constructing a dredged object diffusion equation, and calculating the horizontal and vertical diffusion ranges of the dredged object based on the hydrodynamic field parameters and combining the turbulence diffusion coefficients in the hydrodynamic model; constructing a siltation-scouring discrimination equation, and calculating the siltation quantity of dredged objects when the water flow shearing force is smaller than the shearing force corresponding to the critical starting flow rate parameter; and obtaining a dredge migration-siltation model comprising diffusion, sedimentation and siltation processes based on the motion trail tracking of the dredge particles, the dredge diffusion equation and the siltation-scour discrimination equation.
6. The method according to claim 1, wherein the method for modifying the parameters of the hydrodynamic model and the dredge migration-fouling model by a kalman filter algorithm based on the hydrodynamic parameters and the dredge concentration data acquired in real time comprises: ADCP flow velocity meters, wave meters and turbidity sensors are arranged on the periphery of a dredging operation point and on key sections of a channel, and hydrodynamic parameters and dredged object concentration data are collected in real time; Comparing hydrodynamic parameters and dredged object concentration data acquired in real time with simulation results of a hydrodynamic model and a dredged object migration-accumulation model, and calculating an error value; based on the error value, the turbulence diffusion coefficient in the hydrodynamic model and the sedimentation velocity parameter in the dredge migration-sedimentation model are corrected by a Kalman filtering algorithm.
7. The method according to claim 1, wherein the method for performing the simulated prediction of dredged sediment spread and sediment volume by inputting dredging engineering parameters into the modified model comprises: taking the coordinates of the dredging operation points and the dredging intensity as model source items, and setting the operation time as a simulation time scale; inputting dredging engineering parameters into the corrected model to obtain concentration distribution data of dredged objects in a port channel area at different moments, and determining a diffusion range; and calculating the accumulation amount of each grid cell based on the concentration distribution data and the area and thickness of the grid cells, and summarizing to obtain the total accumulation amount and the accumulation amount distribution of the port channel area.
8. A simulated prediction system of dredged material spreading and accumulation in a harbor channel area, wherein the system is used for realizing the method of any one of claims 1-7, and the system comprises a first acquisition module, a second acquisition module, a first construction module, a second construction module, a correction module, a simulated prediction module, a verification module and a visualization module; The first acquisition module is used for acquiring sea area overall hydrodynamic force and sediment characteristic data based on historical data of a port channel area and sea surface sediment concentration multisource satellite data and constructing a condition parameter database; the second acquisition module is used for constructing a basic database based on the geospatial data, the hydrological data, the dredging engineering parameters and the dredged object characteristic data of the port channel region; The first construction module is used for constructing an atmospheric-tide-wave-runoff coupling hydrodynamic model by adopting a limited volume method based on the condition parameter database and the basic database to obtain hydrodynamic field parameters; a second construction module for constructing a dredge migration-siltation model comprising a diffusion, sedimentation, scour-siltation process based on dredge characteristic data and hydrodynamic field parameters; The correction module is used for correcting parameters of the hydrodynamic model and the dredged object migration-accumulation model through a Kalman filtering algorithm based on the hydrodynamic parameters and the dredged object concentration data acquired in real time; the simulation prediction module is used for inputting dredging engineering parameters into the corrected model and performing simulation prediction on the diffusion range and the sediment quantity of the dredged objects; The verification module is used for verifying the simulation prediction result, if the result error is smaller than a preset threshold value, generating a dredged object diffusion range diagram and a sediment volume statistical report, otherwise, revising parameters of the hydrodynamic model and the dredged object migration-sediment model; and the visualization module is used for displaying the dredged sediment diffusion range diagram and the sediment volume statistical report in a graphical and chart form through a visualization technology.

Description

Simulation prediction method and system for dredged material diffusion and accumulation in port channel region Technical Field The invention belongs to the technical field of port channel engineering, and particularly relates to a simulation prediction method and a simulation prediction system for dredged material diffusion and accumulation in a port channel area. Background The port channel is used as a key hub for water transportation, and the navigation capability directly influences the regional economic development. Because the water flow carries natural and artificial factors such as sediment deposition, ship navigation disturbance and the like, sediment deposition is easy to occur in a port channel, the depth of the channel is insufficient, and the safety navigation of the ship is affected, so that dredging operation is required to be carried out regularly to ensure the smoothness of the channel. During the dredging operation, sediment (i.e. dredged objects) dredged by the dredging equipment can be diffused under the power actions of water flow, wind force and the like, and part of the dredged objects can be redeposited in a channel or a surrounding water area, so that the effectiveness of the dredging operation is reduced, and the ecological environment of a port is possibly influenced. Therefore, the method has important significance in optimizing the dredging scheme, determining the position of the mud throwing area, evaluating the environmental influence and guaranteeing the navigation capacity of the channel. In the prior art, simulation prediction methods for dredge diffusion and accumulation are mostly based on empirical formulas or traditional hydrodynamic models. The empirical formula method relies on historical data fitting, and complex hydrodynamic conditions (such as coupling action of tide, wave and runoff) of a port channel and dynamic changes of dredging operation parameters (such as dredging intensity and operation point position) are not fully considered, so that the prediction accuracy is low, and the method is limited in applicable scenes. Although the traditional hydrodynamic model can consider partial hydrodynamic factors, attention to the differences of the grain composition of dredged objects, sedimentation characteristics and physical and chemical changes in the diffusion process is insufficient, parameter setting is fixed in the simulation process, real-time response to changes of operation conditions and environmental factors is difficult, and simulation efficiency and prediction accuracy are difficult to consider. The physical model test has high cost and long period, and is difficult to completely reproduce the complex conditions of the real scene. For example, the chinese patent application with publication number CN108665224a discloses a dredging object diffusion simulation method based on MIKE21, which is based on tidal current field only to simulate dredging object diffusion, not to combine other hydrodynamic factors such as waves and runoffs, and not to perform differential simulation on the characteristics of dredging object particles, and has larger prediction error in complex harbor channel environment. The patent CN113806851a discloses a method for predicting the sedimentation amount of a channel caused by the hydrodynamic change of dredging and dredging, which takes a river mainly formed by a punching-accumulation type sediment bed as an object, calculates the sedimentation amount by deducing an unbalanced sediment transport equation and the like, but the method aims at a river of a specific type, and the model needs to be reconstructed after the shape change of the channel along with the development of the dredging work of the channel, so that the cost is high, the efficiency is low and the accuracy is difficult to guarantee. Through searching related published inventions and papers, a method for comprehensively, efficiently and accurately simulating and predicting the dredged sediment spreading and accumulation in a port channel area is not discovered, so that the invention aims to fill the technical blank. Therefore, a method for simulating and predicting the dredged material diffusion and accumulation in the port channel area, which can comprehensively consider the influence of multiple factors, dynamically adapt to the operation conditions and consider the simulation precision and the efficiency, is needed to solve the defects in the prior art. Disclosure of Invention In order to solve the problems of low simulation prediction precision, poor adaptability and insufficient efficiency of the dredge diffusion and accumulation amount in the prior art, the invention provides a simulation prediction method and a simulation prediction system of the dredge diffusion and accumulation amount in a port channel region, and aims to realize accurate and efficient simulation and prediction of the dredge diffusion range and the accumulation amount by constructing a multi-fi