Wind-blown snow motion trail simulation tracking method based on wind-blown snow numerical model

Abstract

The invention discloses a wind-blown snow motion trail simulation tracking method based on a wind-blown snow numerical model, and relates to the technical field of meteorological analysis, and the method comprises the following steps: determining the initial condition of a wind-blown snow motion trail simulation region, and setting the basic parameters of the wind-blown snow numerical model; adding a snow particle crushing process into the wind-blown snow numerical model to simulate new snow particles generated by crushing the snow particles due to impact; and jump snow particles and suspended snow particles are distinguished by adopting a threshold particle size method, and the Routh number is calculated to determine the threshold particle size. According to the invention, a fine simulation system is established by considering various physical processes of sublimation, jump and suspension of the snow particles and various environmental factors of wind speed, wind direction, temperature and humidity based on the wind-blown snow numerical model, so that the movement track and concentration distribution of the snow particles can be predicted, the sublimation rates of the snow particles under different conditions can be analyzed, and the precision of the snow particle simulation is improved. Therefore, the influence of snow blown by wind on traffic, environment and human activities can be evaluated more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of meteorological analysis, and in particular to a method for simulating and tracking the movement trajectory of snowstorms based on a snowstorm numerical model. Background Art

[0002] Blowing snow, as an important process in the change of surface snow morphology, involves complex interactions between the atmospheric turbulent boundary layer and snow particles, and has the characteristics of multiphase flow, multi-field coupling and multi-scale. This natural phenomenon not only affects the distribution and morphology of surface snow, but is also closely linked to the atmosphere-surface water cycle, and has a profound impact on climate, environment and human activities. In practical applications, the simulation and tracking of the movement trajectory of blowing snow is of great significance to many fields, such as urban planning, architectural design and energy development.

[0003] The movement of wind-blown snow itself is a dynamic process involving multiphase flow, multi-field coupling and multi-scale characteristics, in which the phenomena of snow particle breakage, saltation, suspension and sublimation are intertwined, making the entire system extremely complex. Therefore, how to accurately simulate the snow particle breakage process, the movement characteristics of saltation and suspension snow particles, and the interaction and conversion effects between various phenomena are the problems we need to solve. To this end, a method for simulating and tracking the movement trajectory of wind-blown snow based on a numerical model of wind-blown snow is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a method for simulating and tracking the movement trajectory of wind and snow based on a wind and snow numerical model, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: A method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model comprises the following steps: Step 1: Determine the initial conditions of the area for simulating the trajectory of wind-blown snow, including environmental parameters of snow distribution, wind speed, temperature and humidity, and set the basic parameters of the wind-blown snow numerical model, including wind field conditions (wind speed, wind direction) and snow particle characteristics (particle size distribution, density); Step 2, adding the snow particle breakage process to the wind-blown snow numerical model to simulate the new snow particles generated by the snow particles being broken due to impact, and determine the effect of snow particle breakage on the number, mass concentration and mass flux of snow particles; Step 3: Use the threshold particle size method to distinguish between leaping snow particles and suspended snow particles, calculate the Routh number to determine the threshold particle size, and then determine whether each jumping snow particle is leaping or suspended. For each snow particle that has just left the ground, determine its movement form according to the particle size, which provides a basis for subsequent simulations. Step 4, according to the wind-blown snow sublimation model (TM sublimation model), the sublimation rate of snow particles is calculated by integrating temperature, humidity, wind speed, snow particle size and solar radiation factors, and the sublimation of snow particles is simulated to the air temperature and humidity; Step 5: Use the Lagrangian particle tracking method to simulate the motion trajectory of the saltation snow particles, comprehensively consider the gravity, buoyancy, drag force, splashing and breaking process of the snow particles, calculate the motion trajectory and velocity change of the snow particles, and analyze the feedback effect of the saltation snow particles on the wind field; Step 6, using the diffusion equation to describe the concentration change and distribution of suspended snow particles, grouping the snow particles according to their particle size, calculating the diffusion coefficient and unit volume sublimation rate of suspended snow particles and the influence of suspended snow particles on ambient temperature and humidity; Step 7, integrate the output results of sublimation process simulation, saltation snow particle motion simulation, and suspended snow particle diffusion simulation, including the motion trajectory of snow particles, concentration distribution, and sublimation rate information, to form a simulation tracking report on the motion trajectory of wind-blown snow.

[0006] A further improvement of the technical solution of the present invention is that in step 1, the process of setting the basic parameters of the wind and snow numerical model is as follows: Collect meteorological data of the simulation area, including historical and real-time wind speed, wind direction, temperature and humidity data, pre-process the collected data, including data cleaning, format conversion, time synchronization and other pre-processing steps, and obtain snow distribution through remote sensing technology, including snow depth, density and particle size distribution; Analyze the snow particle size distribution, determine the proportion of snow particles of different particle size categories, and set the density of snow particles according to the particle size distribution and snow type (dry snow, wet snow); Determine the initial state of snow accumulation based on the physical properties of particle size distribution, density and humidity, set the initial depth and distribution pattern of snow accumulation, and distinguish between uniform distribution and uneven distribution; The initial conditions of wind speed and direction are set according to the collected meteorological data, including the average wind speed, wind speed change and wind direction change. The vertical distribution of the wind field is analyzed and different wind speeds and wind directions are set in layers to reflect the complexity and variability of the wind field. The collected data and analysis results are parameterized and input into the wind and snow numerical model. The model parameters are adjusted to match the field observations to ensure the accuracy and reliability of the model. The model is verified using known wind and snow event data to check the consistency between the simulation results and the actual observations. The model parameters are then adjusted based on the verification results to optimize the model performance and improve the accuracy and reliability of the simulation. Determine the boundary conditions of the simulation area, including the geometric boundaries and physical boundaries (boundary conditions of temperature and humidity) of the simulation area, set the initial conditions and boundary conditions of the model, ensure that the simulated physical process develops reasonably within the simulation area, and record all input parameters and initial conditions.

[0007] A further improvement of the technical solution of the present invention is that in step 2, the simulation process of snow particles breaking and generating new snow particles due to impact is: Clarify the physical mechanism of snow particle breakage, including impact velocity, breakage threshold, and size distribution of snow particles after breakage. Analyze the properties of snow particles during the impact process, including the magnitude, direction, and duration of the impact velocity, determine the breakage threshold of snow particles, that is, under what impact conditions will snow particles break, collect and analyze the size distribution data of snow particles after breakage, understand the size range, distribution pattern, and possible fractal characteristics of snow particles after breakage, study the changes in the size distribution of snow particles after breakage under different conditions (impact velocity, angle, snow particle size, etc.), and analyze the impact of snow particle breakage on the number, mass concentration, and mass flux of snow particles; Collect data on snow particle breakage, including the breakage characteristics of snow particles under different conditions, and analyze the data to determine the probability of snow particle breakage, the size distribution and number of snow particles after breakage; Based on the physical mechanism of snow particle breakage and the collected snow particle breakage data, a physical model of snow particle breakage is constructed to calculate the breakage probability and describe the dynamic characteristics of the broken snow particles. The snow particle breakage model is integrated into the existing wind-blown snow numerical model to construct a complete snow particle breakage-wind-blown snow coupling model. The data on the number, mass concentration, and mass flux of snow particles generated during the simulation process were collected, the generation and distribution of new snow particles during the breakup process were recorded, the changes in the number, mass concentration, and mass flux parameters of snow particles before and after breakup in the simulation results were compared, and the impact of snow particle breakup on the movement of windblown snow and snow accumulation distribution was evaluated.

[0008] A further improvement of the technical solution of the present invention is that in step 3, the process of determining whether the jumping snow particles are jumping or suspended is as follows: Based on the collected meteorological data, the wind speed, wind direction and air density are analyzed to calculate the friction wind speed, and the physical property data of snow particle density and particle size distribution are used to calculate the particle settling terminal velocity; Based on the calculated friction wind speed and particle settling terminal velocity, the Rous number of each snow particle is analyzed and calculated. According to the calculation result of the Rous number, the critical condition of snow particle take-off is determined, and the relationship between the Rous number and the snow particle size is used to determine a threshold particle size. The threshold particle size is the calculation result of the Rous number, which is used to distinguish between saltatory snow particles and suspended snow particles. For each snow particle that takes off, its particle size is compared with the threshold particle size. If the particle size is larger than the threshold particle size, it is determined to be a leaping snow particle. If the particle size is smaller than the threshold particle size, it is determined to be a suspended snow particle. Based on the judgment result, the corresponding movement form is assigned to each snow particle.

[0009] A further improvement of the technical solution of the present invention is that: using the Routh number Calculate the threshold particle size, the expression is: ; in, is the Routh number, is the frictional wind speed, is the final particle settling velocity; The determination conditions of the leaping snow particles and the suspended snow particles are: ; Use the above-mentioned jumping snow particle and suspended snow particle judgment conditions to judge each jumping snow particle. For the transition particles, Suspended particles are used to determine the movement pattern of blowing snow particles.

[0010] A further improvement of the technical solution of the present invention is that in step 4, the calculation process of the snow particle sublimation rate is: Extract meteorological data of temperature, humidity, wind speed, snow particle size distribution and solar radiation in the simulation area, and pre-process the data, including data cleaning, format conversion and time synchronization, so as to determine all the parameters required in the wind-blown snow sublimation model (TM sublimation model), including the physical properties of snow particles (density, shape) and environmental parameters (thermal conductivity of air, gas constant of water vapor); Combining temperature, humidity, wind speed, snow particle size and solar radiation factors, the wind-blown snow sublimation model (TM sublimation model) is used to calculate the sublimation rate of a single snow particle, and the sublimation rate of a single snow particle is integrated according to the snow particle size distribution to obtain the sublimation rate of the entire snow particle; According to the principles of conservation of mass and energy, a set of equations describing the changes in air temperature and humidity during the sublimation of snow particles is established. The numerical method is used to solve the set of equations to obtain the temporal and spatial distribution of air temperature and humidity. Analyze the impact of wind speed changes on snow particle saltation and suspension motion, adjust the contact area and heat transfer coefficient between snow particles and air, correct the sublimation rate according to wind speed changes, analyze the direct impact of temperature and humidity changes on the sublimation rate of snow particles, consider the impact of temperature and humidity changes on the thermodynamic properties of air, correct the energy transfer and mass transfer in the sublimation process, clarify the impact of solar radiation on the surface temperature and snow particle surface temperature, and correct the sublimation rate according to the intensity and time changes of solar radiation; The simulation results were verified and compared with the field observation data, and the accuracy of the simulation results was analyzed. Adjustments and optimizations were made as needed. The simulation results were analyzed to evaluate the impact of snow particle sublimation on the wind-blown snow process and environmental conditions.

[0011] A further improvement of the technical solution of the present invention is that the influence of humidity on the sublimation of blowing snow directly affects the sublimation rate in the wind-blown snow sublimation model. The sublimation rate of a single snow particle is proportional to the unsaturation (1-RH) of water vapor in the air. When the relative humidity RH>1 of the air, the water vapor is in an oversaturated state, and condensation will occur at this time. When the relative humidity RH=1 of the air, the water vapor is in a saturated state, and the snow particles will not sublimate at this time. When the relative humidity RH<1 of the air, the water vapor is in an unsaturated state, and sublimation of wind-blown snow will occur.

[0012] A further improvement of the technical solution of the present invention is that in step 5, the process of simulating the motion trajectory of the leaping snow particles is: Establish a comprehensive model including wind field, temperature and humidity field and snow particle movement, and initialize the model parameters, including wind field speed, direction, temperature and humidity distribution, and initial position, speed and particle size of snow particles; Use meteorological observation data to obtain wind speed, direction, temperature and humidity distribution information, and set the initial position, speed and particle size parameters of snow particles according to actual conditions; Apply the Lagrangian particle tracking method to each snow particle, record its position and velocity at each time step, calculate the gravity, buoyancy and drag force acting on the snow particle at each time step according to the motion state (position and velocity) of the snow particle, and update the motion state (velocity, position); Analyze the collision process between snow particles and the ground or other snow particles, simulate splashing and breaking phenomena, and update the particle size and number of snow particles according to the mass loss and redistribution in the collision process to reflect the mass loss and redistribution in the collision process. When snow particles collide with the ground or other snow particles, splashing occurs, that is, snow particles are bounced or splashed. At the same time, snow particles may also break, resulting in changes in particle size and number. According to the position and velocity information of snow particles at each time step, the movement trajectory and velocity change curve of snow particles are drawn, and the feedback effect of leaping snow particles on the wind field is analyzed, including the influence of snow particle movement on wind speed and wind direction, as well as the changes in temperature and humidity distribution. Relevant charts and data are output for further analysis and discussion.

[0013] A further improvement of the technical solution of the present invention is that in step 6, the calculation process of the diffusion coefficient of suspended snow particles and the sublimation rate per unit volume is: The snow particles are grouped according to their particle size, and the initial concentration, particle size distribution, and shape factor parameters of each group of snow particles are set, and the environmental parameters of wind speed, wind direction, temperature, and humidity are determined; Based on Fick's diffusion law, a diffusion equation is established to describe the concentration change and distribution of suspended snow particles. The diffusion equation contains time, space, concentration, and diffusion coefficient variables. The diffusion coefficient of each group of snow particles is calculated by comprehensively considering factors such as particle size, shape, density, and wind speed. The sublimation rate per unit volume of each group of snow particles is calculated by using multiple factors such as temperature, humidity, and particle size. Thermodynamic principles are used to quantitatively analyze the impact of suspended snow particles on ambient temperature and humidity. The sublimation of snow particles will absorb heat, causing the ambient temperature to drop. At the same time, the water vapor produced by sublimation will increase the ambient humidity. The diffusion equation is solved using numerical simulation methods to obtain the concentration distribution and change pattern of suspended snow particles.

[0014] A further improvement of the technical solution of the present invention is that in step 7, the process of forming the wind and snow motion trajectory simulation tracking report is as follows: The simulation results of the comprehensive sublimation process simulation, saltation snow particle motion simulation and suspended snow particle diffusion simulation include the motion trajectory, concentration distribution and sublimation rate information of snow particles; Analyze the simulation results, including the movement characteristics of snow particles, concentration distribution patterns, and sublimation rate changes, and use visualization tools to visualize the simulation results to more intuitively understand the movement trajectory and distribution patterns of snow particles; Based on the output results of sublimation process simulation, saltation snow particle motion simulation, and suspended snow particle diffusion simulation, a wind-blown snow motion trajectory simulation tracking report is generated, including research background, model establishment and parameter setting, simulation process and results, and result analysis.

[0015] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art: The present invention provides a method for simulating and tracking the movement trajectory of blowing snow based on a numerical model of blowing snow. The method takes into account multiple physical processes of sublimation, migration and suspension of snow particles, as well as multiple environmental factors such as wind speed, wind direction, temperature and humidity based on the numerical model of blowing snow, and establishes a sophisticated simulation system. The method can not only predict the movement trajectory and concentration distribution of snow particles, but also analyze the sublimation rate of snow particles under different conditions, thereby more accurately evaluating the impact of blowing snow on transportation, environment and human activities.

[0016] The present invention provides a method for simulating and tracking the movement trajectory of wind and snow based on a wind and snow numerical model. Through simulation analysis, we can have a deeper understanding of the movement mechanism and physical process of snow particles in the wind field, and reveal the inherent laws and influencing factors of the wind and snow phenomenon. This can not only enrich and improve the theoretical system of wind and snow science, but also provide theoretical support for further optimization and improvement of the numerical model. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0018] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a schematic diagram of the wind-blown snow model of the present invention; Figure 3 Schematic diagram of the impact snow particle (left) and the take-off snow particle (right) of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Embodiment 1, as Figures 1 to 3 As shown, the present invention provides a method for simulating and tracking the movement trajectory of wind and snow based on a wind and snow numerical model, comprising the following steps: Step 1: Determine the initial conditions of the area for simulating the trajectory of wind-blown snow movement, including environmental parameters such as snow distribution, wind speed, temperature and humidity, and set the basic parameters of the wind-blown snow numerical model, including wind field conditions (wind speed, wind direction) and snow particle characteristics (particle size distribution, density). Collect meteorological data of the simulation area, including historical and real-time wind speed, wind direction, temperature and humidity data. Preprocess the collected data, including data cleaning, format conversion, and time synchronization preprocessing steps. Obtain snow distribution through remote sensing technology, including snow depth, density and particle size distribution. Perform particle size distribution analysis on snow to determine the proportion of snow particles of different particle size categories. Set the density of snow particles according to the particle size distribution and snow type (dry snow, wet snow). Determine the initial state of snow according to the physical properties of particle size distribution, density and humidity. Set the initial depth and distribution pattern of snow to distinguish between uniform distribution and uneven distribution. , set the initial conditions of wind speed and direction according to the collected meteorological data, including the average wind speed, wind speed change and wind direction change, analyze the vertical distribution of the wind field, set different wind speeds and wind directions in layers to reflect the complexity and variability of the wind field, parameterize the collected data and analysis results, input them into the wind and snow numerical model, adjust the model parameters to match the field observations to ensure the accuracy and reliability of the model, and verify the model with known wind and snow event data to check the consistency between the simulation results and the actual observations, and then adjust the model parameters according to the verification results to optimize the model performance to improve the accuracy and reliability of the simulation, determine the boundary conditions of the simulation area, including the geometric boundaries and physical boundaries (temperature and humidity boundary conditions) of the simulation area, set the initial conditions and boundary conditions of the model, ensure that the simulated physical process develops reasonably in the simulation area, and record all input parameters and initial conditions; Step 2: Add the snow particle breakage process to the wind-blown snow numerical model to simulate the new snow particles produced by the breakage of snow particles due to impact, determine the impact of snow particle breakage on the number, mass concentration and mass flux of snow particles, and clarify the physical mechanism of snow particle breakage, including impact velocity, breakage threshold and size distribution of snow particles after breakage. Specifically, analyze the properties of snow particles during the impact process, including the magnitude, direction and action time of the impact velocity, determine the breakage threshold of snow particles, that is, under what impact conditions will snow particles break, collect and analyze the size distribution data of snow particles after breakage, understand the particle size range, distribution law and possible fractal characteristics of snow particles after breakage, study the changes in the size distribution of snow particles after breakage under different conditions (impact velocity, angle, snow particle material, etc.), and analyze the impact of snow particle breakage on the number and mass concentration of snow particles. and mass flux, collect data on snow particle breakage, including the breakage characteristics of snow particles under different conditions, analyze the data to determine the probability of snow particle breakage, the size distribution and number of snow particles after breakage, build a physical model of snow particle breakage based on the physical mechanism of snow particle breakage and the collected snow particle breakage data, calculate the breakage probability and describe the dynamic characteristics of snow particles after breakage, integrate the snow particle breakage model into the existing wind-blown snow numerical model, build a complete snow particle breakage-wind-blown snow coupling model, collect the number, mass concentration and mass flux data of snow particles generated during the simulation process, record the generation and distribution of new snow particles during the breakage process, compare the changes in the number, mass concentration and mass flux parameters of snow particles before and after breakage in the simulation results, and evaluate the impact of snow particle breakage on the movement of wind-blown snow and snow accumulation distribution; Step 3: Use the threshold particle size method to distinguish between leaping snow particles and suspended snow particles, calculate the Routh number to determine the threshold particle size, and then judge whether each jumping snow particle is leaping or suspended. For each snow particle that has just left the ground, determine its movement form according to the particle size, which provides a basis for subsequent simulations. According to the collected meteorological data, analyze the wind speed, wind direction, and air density to calculate the friction wind speed. ,in, , is the surface shear force, is the density of air, and the physical property data of snow particle density and particle size distribution are used, the physical property data are density and particle size, the particle settling end velocity is calculated, based on the calculated friction wind speed and particle settling end velocity, the Routh number of each snow particle is analyzed and calculated, according to the calculation result of the Routh number, the critical condition of snow particle take-off is determined, and the relationship between the Routh number and the snow particle size is used to determine a threshold particle size, which is the calculation result of the Routh number, and is used to distinguish between leaping snow particles and suspended snow particles. For each leaping snow particle, its particle size is compared with the threshold particle size. If the particle size is greater than the threshold particle size, it is determined to be a leaping snow particle. If the particle size is less than the threshold particle size, it is determined to be a suspended snow particle. According to the determination result, the corresponding motion form is assigned to each snow particle; Further, using the Routh number Calculate the threshold particle size, the expression is: ; is the final particle settling velocity: ; ; ; in, is the Routh number, is the frictional wind speed, is the final particle settling velocity, is the particle size of the snow particles, A and B are constant coefficients, and v is the particle movement speed. is the acceleration due to gravity, is the density of the snow particles, is the density of air; The criteria for determining whether snow particles are saltatory or suspended are: ; Use the judgment conditions of leaping snow particles and suspended snow particles to judge each jumping snow particle. For the transition particles, For suspended particles, to determine the movement pattern of blowing snow particles; Step 4, according to the wind-blown snow sublimation model (TM sublimation model), the sublimation rate of snow particles is calculated by integrating temperature, humidity, wind speed, snow particle size and solar radiation factors, and the sublimation of snow particles is simulated to the air temperature and humidity; Step 5: Use the Lagrangian particle tracking method to simulate the motion trajectory of the saltation snow particles, comprehensively consider the gravity, buoyancy, drag force, splashing and breaking process of the snow particles, calculate the motion trajectory and velocity change of the snow particles, and analyze the feedback effect of the saltation snow particles on the wind field; Step 6, using the diffusion equation to describe the concentration change and distribution of suspended snow particles, grouping the snow particles according to their particle size, calculating the diffusion coefficient and unit volume sublimation rate of suspended snow particles and the influence of suspended snow particles on ambient temperature and humidity; Step 7, integrate the output results of sublimation process simulation, saltation snow particle motion simulation, and suspended snow particle diffusion simulation, including the motion trajectory of snow particles, concentration distribution, and sublimation rate information, to form a simulation tracking report on the motion trajectory of wind-blown snow.

[0021] Embodiment 2, as Figures 1 to 3 As shown, based on Example 1, the present invention provides a technical solution: Preferably, in step 4, the calculation process of the snow particle sublimation rate is: Meteorological data of temperature, humidity, wind speed, snow particle size distribution and solar radiation in the simulation area are extracted, and the data are preprocessed, including data cleaning, format conversion and time synchronization, so as to determine all the parameters required in the wind-blown snow sublimation model (TM sublimation model), including the physical properties of snow particles (density, shape) and environmental parameters (thermal conductivity of air, gas constant of water vapor). The wind-blown snow sublimation model (TM sublimation model) is used to calculate the sublimation rate of a single snow particle by combining the factors of temperature, humidity, wind speed, snow particle size and solar radiation. The sublimation rate of a single snow particle is integrated according to the snow particle size distribution to obtain the sublimation rate of the entire snow particle. According to the principles of conservation of mass and conservation of energy, a set of equations describing the changes in air temperature and humidity during the sublimation of snow particles is established, and numerical methods are used. Solve the equations to obtain the temporal and spatial distribution of air temperature and humidity, analyze the effect of wind speed changes on snow particle saltation and suspension motion, adjust the contact area and heat transfer coefficient between snow particles and air, correct the sublimation rate according to wind speed changes, analyze the direct effect of temperature and humidity changes on the sublimation rate of snow particles, consider the effect of temperature and humidity changes on the thermodynamic properties of air, correct the energy transfer and mass transfer in the sublimation process, clarify the effect of solar radiation on the surface temperature and snow particle surface temperature, and correct the sublimation rate according to the intensity and time of solar radiation changes, verify the simulation results, compare with field observation data, analyze the accuracy of the simulation results, adjust and optimize as needed, analyze the simulation results, and evaluate the effect of snow particle sublimation on the wind-blown snow process and environmental conditions; Furthermore, the effect of humidity on the sublimation of blowing snow directly affects the sublimation rate in the wind-blown snow sublimation model. The sublimation rate of a single snow particle is proportional to the unsaturation of water vapor in the air (1-RH). When the relative humidity of the air RH>1, the water vapor is in a supersaturated state, and condensation will occur at this time. When the relative humidity of the air RH=1, the water vapor is in a saturated state, and the snow particles will not sublimate at this time. When the relative humidity of the air RH<1, the water vapor is in an unsaturated state, and sublimation of wind-blown snow will occur. The calculation formula of wind-blown snow sublimation rate is: ; The meanings of the physical quantities are as follows: m is the particle mass, is the size of the snow particles, is the air temperature, is the relative humidity of the air, is the solar radiation absorbed by the snow particles, is the latent heat of sublimation, which is 2.84*10 6 J / kg, is the thermal conductivity of air, is the gas constant of water vapor, which is 461.5 J / kg / K. is the molecular diffusion rate of water vapor, is the saturated vapor pressure relative to the ice surface, is the Nusselt number, is the Sherwood number; At low mass transfer rates, the Nusselt number and Sherwood number are equal, and are dimensionless numbers related to the snow particle size and wind speed. The calculation formula is: ; in, is the Reynolds number, is the kinematic viscosity of air, is the particle size of the snow particles; from the sublimation formula, it can be obtained that the main factors affecting the sublimation of snow particles are: environmental temperature, relative humidity, wind speed, snow particle size and solar radiation.

[0022] Embodiment 3, as Figures 1 to 3 As shown, based on Embodiment 1-2, the present invention provides a technical solution: Preferably, in step 5, the process of simulating the motion trajectory of the leaping snow particles is: A comprehensive model including wind field, temperature and humidity field and snow particle movement is established, and the model parameters are initialized, including wind field speed, direction, temperature and humidity distribution, and initial position, speed and particle size of snow particles. The speed, direction and temperature and humidity distribution information of the wind field are obtained using meteorological observation data. The initial position, speed and particle size parameters of snow particles are set according to actual conditions. The Lagrangian particle tracking method is applied to each snow particle, and its position and speed are recorded at each time step. According to the motion state (position and speed) of the snow particles, the gravity, buoyancy and drag force acting on the snow particles at each time step are calculated, and the motion state (speed, position) is updated to analyze the collision process between snow particles and the ground or other snow particles. , simulate splashing and breaking phenomena, and update the particle size and quantity of snow particles according to the mass loss and redistribution in the collision process to reflect the mass loss and redistribution in the collision process. When snow particles collide with the ground or other snow particles, splashing occurs, that is, snow particles are bounced or splashed. At the same time, snow particles may also break, resulting in changes in particle size and quantity. According to the position and velocity information of snow particles at each time step, the movement trajectory and velocity change curve of snow particles are drawn, and the feedback effect of saltation snow particles on the wind field is analyzed, including the influence of snow particle movement on wind speed and wind direction, as well as the changes in temperature and humidity distribution, and relevant charts and data are output for further analysis and discussion; Since the mass of saltation snow particles accounts for the largest proportion in the movement of wind-blown snow, and most of the suspended snow particles are generated by saltation snow particles through splashing or breaking, the movement of saltation snow particles plays a major role in the movement of wind-blown snow. The movement mechanism of saltation snow particles is solved by Lagrangian particle tracking method, which mainly involves force analysis, snow particle starting, trajectory calculation, splashing process, snow particle breaking and snow particle feedback to wind field and temperature and humidity field. Specifically, when the wind speed is greater than the critical starting wind speed of snow particles, the wind field entrains the stationary snow particles on the bed surface to jump, which is called fluid starting. The fluid starting amount is a function of the friction velocity and the particle size: ; in, is the number of snow particles that take off, is a dimensionless parameter, is the critical fluid friction wind speed of snow particles, is the particle size of the snow particles. During the fluid startup process, the airflow drives the stationary snow particles to move. Therefore, the force analysis of the stationary snow particles is the key to calculating the critical fluid startup friction wind speed of the snow particles. The forces acting on the stationary snow particles are analyzed as follows: gravity ( )、Drag force( ),buoyancy( ) and cohesion ( ); Gravity - The force on the snow particles due to the attraction of the earth is the gravity of the snow particles. It is a component of gravity and its direction is vertically downward. The calculation formula is: ; in, is the diameter of the snow particle, is the acceleration due to gravity, is the density of the snow particles; Buoyancy - In a fluid, due to the unequal pressure difference between the upper and lower surfaces of an object, a buoyancy force will be generated, which is equal to the weight of the snow particles displacing the fluid, and the direction is vertically upward. The calculation formula is: ; in, is the density of air; Drag force - the velocity of the flow field is The speed of the snow particles is , when the same position When the snow particles are blown by the wind, the force is called drag force, and the calculation formula is: ; in, is the drag coefficient, which is related to the particle Reynolds number. , is the relative speed of snow particles and airflow at the same position; Defining the Reynolds number of a particle , is the kinematic viscosity of air, then the drag coefficient The expression is: ; Cohesion - When stationary snow particles come into contact with each other within the appropriate temperature range, sintering will occur between the snow particles to form a kind of adhesion phenomenon: ; in, is the tensile strength of the bond, is the contact radius of the bonding point; In fluid startup, the drag force is the decisive driving force that drives the stationary snow particles on the ground to participate in the movement of windblown snow; After being carried into the wind field by the wind, the saltatory snow particles jump on the ground and in the air. Their motion trajectory is generally parabolic. For the snow particles in the air, in addition to the forces on the stationary snow particles mentioned above, they are also subject to the additional mass force ( )、Saffman lift( ), Magnus force ( ) and Basset force ( ) Additional mass force - the acceleration of snow particles in the air when doing variable speed linear motion is a. When a is not equal to zero, the snow particles will exert a force on the nearby air. Since the force is mutual, the additional mass force is the reaction force of the flow field on the snow particles. Its calculation formula is: ; Magnus force: The motion of snow particles in the air can be decomposed into translation and rotation. The velocity vector of the snow particle translation is The angular velocity of the snow particle rotation is ,when and When the directions do not coincide, and A lateral force will be generated on the plane of the composition , the effect on snow particles deflects the object's flight trajectory, which is called the Magnus force, or Magnus effect, and the calculation formula is: ; ; Saffman lift - The velocity of the fluid in the wind field is not constant, and the velocity of the flow field varies from place to place, so the velocity of the air around the snow particles is also different. When the direction of movement of the snow particles is perpendicular to the velocity gradient of the air, Saffman lift will be generated. , the direction is opposite to the velocity gradient, the snow particles will move in the direction of high velocity, the expression is: ; Basset force - Since air is a viscous fluid, the snow particles that are moving at variable speeds will produce a boundary layer in the air. The air in the boundary layer is driven by the particles to move at variable speeds. Due to inertia, the corresponding variable speed motion of the fluid has a lag, and the reaction force on the particles is the Basset force: ; in, , is the flow field and particle velocity, is the dynamic viscosity coefficient of air. The Basset force in steady flow field can be ignored, but in unsteady flow field, the Basset force has a greater influence on the particle motion. Snow particles in the air are affected by various forces. The main forces affecting the movement of snow particles in windblown snow are the gravity of the snow particles themselves, the buoyancy of the air on the snow particles, and the drag force of the wind field on the snow particles. These forces are indispensable in the numerical simulation of windblown snow. The movement range of saltation snow particles is mainly in the area very low near the surface, and the particle size of saltation particles is larger than that of suspended snow particles. Since the area near the surface is small and the particles with larger particle size have weaker followability to the wind field, the Lagrangian particle tracking method is used to describe the movement of saltation particles. The governing equation for the particle is: ; ; ; ; Where m is the particle mass, and are the horizontal and vertical coordinates of the snow particles, is the buoyancy of the snow particles, is the drag force on the snow particle, is the weight of the snow particles, and are the horizontal and vertical velocity components of the flow field at the location of the snow particles, and are the horizontal and vertical velocity components of the snow particles, is the relative velocity between snow particles and flow field; During the movement of saltatory snow particles, there is a process of collision with the particle bed, and there is a certain probability that other snow particles on the ground will be splashed. This process is often described by the splash function. ; ; ; in, is the horizontal component velocity of the impacting snow particle, is the vertical component of the velocity of the impacting snow particle, is the horizontal component velocity of the take-off snow particle, is the vertical component velocity of the take-off snow particle; is the vertical restitution coefficient, is the horizontal restitution coefficient, is the number of snow particles that take off; yes The probability distribution function of The probability distribution function of The probability distribution function of is the gamma function, is the number of combinations, among which is a number that obeys a probability distribution density function and is calculated using the combinatorial method in probability statistics; In addition, the saltation snow particles will break during the movement. In the process of wind-blown snow, the snow particles are generally assumed to be unbreakable spheres, but in the actual process, the snow particles generally present irregular shapes such as hexagonal flakes, which break during the collision process, thus producing more small-sized snow particles. According to the DEM simulation results, the incident snow particle velocity is obtained The ratio of the number of snow particles N obtained by crushing to the size before and after crushing The relationship between the size ratio is the ratio of the particle size of the flake snowflakes before and after they are broken: ; ; The conversion between the particle size of spherical snow particles and the size of flake snowflakes is obtained by the conservation of mass: ; For plate-like and dendritic snowflakes, the thickness and respectively: ; ; The parameters are respectively , and is the particle size and density of snow particles, , and are the diameter, thickness and density of flake snowflakes respectively; In this model, the wind field is assumed to flow in the horizontal direction, and the reaction force of snow particles on the wind field is considered. The Naiver-Stokes equation is: ; in, is the flow direction of the flow field, It is the direction perpendicular to the snow bed surface. is the average wind speed in the horizontal direction, is the Reynolds shear stress, is the reaction force of saltation snow particles on the flow field; For a fully developed steady flow field in the horizontal direction, according to the Prandtl mixing length theory, the equation is: ; Where K is the von Karman constant, is the air density; Saltation sublimation is characterized by the sum of the sublimation rates of all saltation snow particles: ; in is the total saltation sublimation rate, n is the total number of saltation particles, is the mass of the ith particle.

[0023] Embodiment 4, as Figures 1 to 3 As shown, based on Examples 1-3, the present invention provides a technical solution: Preferably, in step 6, the calculation process of the diffusion coefficient of suspended snow particles and the sublimation rate per unit volume is: The snow particles are grouped according to their particle size, and the initial concentration, particle size distribution, and shape factor parameters of each group of snow particles are set. The environmental parameters of wind speed, wind direction, temperature, and humidity are determined. Based on Fick's diffusion law, a diffusion equation is established to describe the concentration change and distribution law of suspended snow particles. The diffusion equation contains time, space, concentration, and diffusion coefficient variables. The diffusion coefficient of each group of snow particles is calculated by integrating the factors of particle size, shape, density, and wind speed. The sublimation rate per unit volume of each group of snow particles is calculated using multiple factors such as temperature, humidity, and particle size. The influence of suspended snow particles on environmental temperature and humidity is quantitatively analyzed using the principles of thermodynamics. Snow particles absorb heat when they sublimate, causing the ambient temperature to drop. At the same time, the water vapor generated by sublimation will increase the ambient humidity. The diffusion equation is solved using a numerical simulation method to obtain the concentration distribution and change law of suspended snow particles. Specifically, when calculating the diffusion of suspended snow particles, the snow particles are divided into different groups according to their particle size. Each group of snow particles corresponds to a particle size, and their concentration and sublimation rate are calculated separately; The suspended snow particle concentration diffusion equation is: ; in, is the mass concentration of suspended snow particles, which is used to characterize the mass of suspended snow particles within a certain range; is the vertical diffusion coefficient of suspended snow particles, which represents the speed of suspended snow particles diffusing upwards; is the sublimation rate per unit volume of suspended snow particles, which represents the consumption of suspended snow mass by suspended sublimation; ,in for: ; is the sedimentation coefficient, The proportionality constant is taken as 1, is the vertical pulsating wind speed, which is approximately the friction wind speed; Suspended sublimation is characterized by the sum of the sublimation rates of each group of suspended snow particles divided by particle size: ; in is the total suspension sublimation rate, m is the particle mass, is the equivalent number of suspended snow particles in each group, is the number of snow particles in the jth group of particles, is the mass of the jth group of particles; Snow particles will sublimate during the blowing process, which is an endothermic phase change process and releases gaseous water, which can cause changes in ambient temperature and humidity and have a negative feedback effect on sublimation. Turbulence can affect the transport of heat and water vapor, and then affect temperature and humidity, which can indirectly affect the sublimation of blowing snow. Therefore, changes in temperature and humidity are extremely important factors in the process of windblown snow and its sublimation. And the specific humidity q satisfies the following variation law: ; ; in, , , is the thermal conductivity of air, is the molecular diffusion coefficient of water vapor, is the turbulent diffusion coefficient; is the latent heat of sublimation, is the snow particle volume sublimation rate, is the specific heat capacity of air; Relative humidity is defined as the ratio of the water vapor pressure in the air to the saturated water vapor pressure on the water surface: ; The relative humidity required to calculate sublimation in a snowstorm is the water vapor pressure in the air relative to the saturated water vapor pressure on the ice surface. : ; in, is the pressure of water vapor in the air, is the saturated vapor pressure above the water surface, is the saturated vapor pressure on the ice surface, which can represent the upper limit of water vapor that can be contained in the air; and There is an approximate relationship as follows: ; In order to calculate the effect of water vapor produced by sublimation of snow particles in windblown snow, the specific humidity is used in the calculation. Instead of relative humidity, specific humidity is the ratio of the mass of water vapor in a certain amount of humid air to the total mass of this quantitative humid air, and the conversion relationship with relative humidity is as follows: ; in, is the atmospheric pressure, ; In step 7, the process of forming the wind and snow motion trajectory simulation tracking report is as follows: The simulation results of sublimation process simulation, saltation snow particle motion simulation and suspended snow particle diffusion simulation are integrated, including the motion trajectory of snow particles, concentration distribution, and sublimation rate information. The simulation results are analyzed, including the motion characteristics of snow particles, concentration distribution law, and sublimation rate changes. The simulation results are visualized using visualization tools to more intuitively understand the motion trajectory and distribution law of snow particles. Based on the output results of sublimation process simulation, saltation snow particle motion simulation, and suspended snow particle diffusion simulation, a wind-blown snow motion trajectory simulation tracking report is generated, including research background, model establishment and parameter setting, simulation process and results, and result analysis.

[0024] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for simulating and tracking the trajectory of blowing snow based on a numerical model of blowing snow, characterized in that: The following steps are involved: Step 1, determine the initial conditions of the wind and snow motion trajectory simulation area and set the basic parameters of the wind and snow numerical model; Step 2, adding the snow particle breakage process to the wind-blown snow numerical model to simulate the new snow particles generated by the snow particles being broken due to impact; Step 3, using the threshold particle size method to distinguish between leaping snow particles and suspended snow particles, calculating the Routh number to determine the threshold particle size, and then determining whether each jumping snow particle is leaping or suspended; Step 4, according to the wind-blown snow sublimation model, the sublimation rate of snow particles is calculated by integrating temperature, humidity, wind speed, snow particle size and solar radiation factors, and the feedback effect of snow particle sublimation on air temperature and humidity is simulated; Step 5, using the Lagrangian particle tracking method to simulate the motion trajectory of the saltation snow particles, calculate the motion trajectory and velocity change of the snow particles, and analyze the feedback effect of the saltation snow particles on the wind field; Step 6, using the diffusion equation to describe the concentration change and distribution law of suspended snow particles, calculating the diffusion coefficient and unit volume sublimation rate of suspended snow particles and the influence of suspended snow particles on environmental temperature and humidity; Step 7, integrating the output results of sublimation process simulation, saltation snow particle motion simulation, and suspended snow particle diffusion simulation to form a wind-blown snow motion trajectory simulation tracking report.

2. The method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model according to claim 1, characterized in that: In step 1, the process of setting the basic parameters of the wind and snow numerical model is as follows: Collect meteorological data of the simulation area, including historical and real-time wind speed, wind direction, temperature and humidity data, pre-process the collected data, and obtain snow distribution through remote sensing technology, including snow depth, density and particle size distribution; Analyze the snow particle size distribution, determine the proportion of snow particles of different particle size categories, and set the density of snow particles according to the particle size distribution and snow type; Determine the initial state of snow accumulation based on the physical properties of particle size distribution, density and humidity, set the initial depth and distribution pattern of snow accumulation, and distinguish between uniform distribution and uneven distribution; Set the initial conditions of wind speed and direction based on the collected meteorological data, including average wind speed, wind speed change and wind direction change, analyze the vertical distribution of the wind field, and set different wind speeds and directions in layers; The collected data and analysis results are parameterized and input into the wind and snow numerical model. The model parameters are adjusted to match the field observations. The model is validated using known wind and snow event data. The model parameters are then adjusted based on the validation results to optimize the model performance. Determine the boundary conditions of the simulation area, including the geometric boundaries and physical boundaries of the simulation area, set the initial conditions and boundary conditions of the model, and record all input parameters and initial conditions.

3. The method for simulating and tracking the movement trajectory of snowstorms based on a snowstorm numerical model according to claim 2, characterized in that: In step 2, the simulation process of snow particles breaking and generating new snow particles due to impact is as follows: Clarify the physical mechanism of snow particle breakage, including impact velocity, breakage threshold, and size distribution of snow particles after breakage. Analyze the situation of snow particles during the impact process, including the magnitude, direction, and duration of the impact velocity, determine the breakage threshold of snow particles, that is, under what impact conditions will snow particles break, study the changes in the size distribution of snow particles after breakage under different conditions, and analyze the impact of snow particle breakage on the number, mass concentration, and mass flux of snow particles; Collect data on snow particle breakage, including the breakage characteristics of snow particles under different conditions, and analyze the data to determine the probability of snow particle breakage, the size distribution and number of snow particles after breakage; Based on the physical mechanism of snow particle breakage and the collected snow particle breakage data, a physical model of snow particle breakage is constructed to calculate the breakage probability and describe the dynamic characteristics of the broken snow particles. The snow particle breakage model is integrated into the existing wind-blown snow numerical model to construct a complete snow particle breakage-wind-blown snow coupling model. The data on the number, mass concentration, and mass flux of snow particles generated during the simulation process were collected, the generation and distribution of new snow particles during the breakup process were recorded, the changes in the number, mass concentration, and mass flux parameters of snow particles before and after breakup in the simulation results were compared, and the impact of snow particle breakup on the movement of windblown snow and snow accumulation distribution was evaluated.

4. The method for simulating and tracking the movement trajectory of snowstorms based on a snowstorm numerical model according to claim 3 is characterized in that: In step 3, the process of determining whether the jumping snow particles are jumping or suspended is as follows: Based on the collected meteorological data, the wind speed, wind direction and air density are analyzed to calculate the friction wind speed, and the physical property data of snow particle density and particle size distribution are used to calculate the particle settling terminal velocity; Based on the calculated friction wind speed and particle settling terminal velocity, the Rous number of each snow particle is analyzed and calculated. According to the calculation result of the Rous number, the critical condition of snow particle take-off is determined, and the relationship between the Rous number and the snow particle size is used to determine a threshold particle size. The threshold particle size is the calculation result of the Rous number, which is used to distinguish between saltatory snow particles and suspended snow particles. For each snow particle that takes off, its particle size is compared with the threshold particle size. If the particle size is larger than the threshold particle size, it is determined to be a leaping snow particle. If the particle size is smaller than the threshold particle size, it is determined to be a suspended snow particle. Based on the judgment result, the corresponding movement form is assigned to each snow particle.

5. The method for simulating and tracking the movement trajectory of snowstorms based on a snowstorm numerical model according to claim 4, characterized in that: Use the Routh number Calculate the threshold particle size, the expression is: ； in, is the Routh number, is the frictional wind speed, is the final particle settling velocity; The determination conditions of the leaping snow particles and the suspended snow particles are: ； Use the above-mentioned jumping snow particle and suspended snow particle judgment conditions to judge each jumping snow particle. For the transition particle, For suspended particles.

6. The method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model according to claim 5, characterized in that: In step 4, the calculation process of the snow particle sublimation rate is: Extract meteorological data of temperature, humidity, wind speed, snow particle size distribution and solar radiation in the simulation area, and pre-process the data, including data cleaning, format conversion and time synchronization, to determine all the parameters required in the wind-blown snow sublimation model, including the physical properties of snow particles and environmental parameters; Combining temperature, humidity, wind speed, snow particle size and solar radiation factors, the wind-blown snow sublimation model is used to calculate the sublimation rate of a single snow particle, and the sublimation rate of a single snow particle is integrated according to the snow particle size distribution to obtain the sublimation rate of the entire snow particle; According to the principles of conservation of mass and energy, a set of equations describing the changes in air temperature and humidity during the sublimation of snow particles is established. The numerical method is used to solve the set of equations to obtain the temporal and spatial distribution of air temperature and humidity. Analyze the impact of wind speed changes on snow particle saltation and suspension motion, adjust the contact area and heat transfer coefficient between snow particles and air, correct the sublimation rate according to wind speed changes, analyze the direct impact of temperature and humidity changes on the sublimation rate of snow particles, consider the impact of temperature and humidity changes on the thermodynamic properties of air, correct the energy transfer and mass transfer in the sublimation process, clarify the impact of solar radiation on the surface temperature and snow particle surface temperature, and correct the sublimation rate according to the intensity and time changes of solar radiation; The simulation results are validated, compared with field observation data, and analyzed to evaluate the impact of snow particle sublimation on wind-blown snow processes and environmental conditions.

7. The method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model according to claim 6, characterized in that: The humidity directly affects the sublimation rate in the wind-blown snow sublimation model. The sublimation rate of a single snow particle is proportional to the unsaturation of water vapor in the air (1-RH). When the relative humidity of the air RH>1, the water vapor is in an oversaturated state, and condensation will occur at this time. When the relative humidity of the air RH=1, the water vapor is in a saturated state, and the snow particles will not sublimate at this time. When the relative humidity of the air RH<1, the water vapor is in an unsaturated state, and sublimation of wind-blown snow will occur.

8. The method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model according to claim 7, characterized in that: In step 5, the process of simulating the motion trajectory of the leaping snow particles is as follows: Establish a comprehensive model including wind field, temperature and humidity field and snow particle movement, and initialize the model parameters, including wind field speed, direction, temperature and humidity distribution, and initial position, speed and particle size of snow particles; Use meteorological observation data to obtain wind speed, direction, temperature and humidity distribution information, and set the initial position, speed and particle size parameters of snow particles according to actual conditions; Apply the Lagrangian particle tracking method to each snow particle, record its position and velocity at each time step, calculate the gravity, buoyancy and drag force acting on the snow particle at each time step according to the motion state of the snow particle, and update the motion state; Analyze the collision process of snow particles with the ground or other snow particles, simulate splashing and fragmentation, and update the particle size and number of snow particles based on mass loss and redistribution during the collision process; According to the position and velocity information of snow particles at each time step, the movement trajectory and velocity change curve of snow particles are drawn, and the feedback effect of leaping snow particles on the wind field is analyzed, including the impact of snow particle movement on wind speed and wind direction, as well as changes in temperature and humidity distribution, and relevant charts and data are output.

9. The method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model according to claim 8, characterized in that: In step 6, the calculation process of the suspended snow particle diffusion coefficient and the unit volume sublimation rate is: The snow particles are grouped according to their particle size, and the initial concentration, particle size distribution, and shape factor parameters of each group of snow particles are set, and the environmental parameters of wind speed, wind direction, temperature, and humidity are determined; Based on Fick's diffusion law, a diffusion equation is established to describe the concentration change and distribution of suspended snow particles. The diffusion equation contains time, space, concentration, and diffusion coefficient variables. The diffusion coefficient of each group of snow particles is calculated by comprehensively considering factors such as particle size, shape, density, and wind speed. The sublimation rate per unit volume of each group of snow particles is calculated by using multiple factors such as temperature, humidity, and particle size. The influence of suspended snow particles on ambient temperature and humidity is quantitatively analyzed using the principles of thermodynamics. The diffusion equation is solved using numerical simulation methods to obtain the concentration distribution and variation pattern of suspended snow particles.

10. The method for simulating and tracking the movement trajectory of blowing snow based on a blowing snow numerical model according to claim 9, characterized in that: In step 7, the process of forming the wind and snow motion trajectory simulation tracking report is as follows: The simulation results of the comprehensive sublimation process simulation, saltation snow particle motion simulation and suspended snow particle diffusion simulation include the motion trajectory, concentration distribution and sublimation rate information of snow particles; Analyze the simulation results, including the movement characteristics of snow particles, concentration distribution patterns, and sublimation rate changes, and use visualization tools to visualize the simulation results; Based on the output results of sublimation process simulation, saltation snow particle motion simulation, and suspended snow particle diffusion simulation, a wind-blown snow motion trajectory simulation tracking report is generated, including research background, model establishment and parameter setting, simulation process and results, and result analysis.

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