A vegetation protection method based on wind-sand erosion law

Abstract

This invention relates to the field of wind and sand protection, and discloses a vegetation protection method based on the laws of wind and sand erosion. First, historical wind and sand erosion patterns are collected, recording data on the air impact, soil erosion, and vegetation erosion. Using large-scale modeling technology, an impact model is established, and erosion simulation experiments are conducted to obtain air protection data, soil protection data, and vegetation protection data. Real-time monitoring and evaluation are performed to obtain wind and sand monitoring data. Based on this data, the wind and sand movement patterns are predicted, yielding wind and sand trajectory prediction results. The protection data are then integrated to obtain a first vegetation protection scheme, establishing a vegetation protection trajectory model. The vegetation protection trajectory model is then corrected in real time to obtain a second vegetation protection scheme. This invention solves the problem in existing technologies where vegetation selection for wind and sand protection lacks specificity and cannot be tailored to the wind and sand erosion trajectory.

Description

Technical Field

[0001] This invention relates to the field of wind and sand protection, and in particular to a vegetation protection method based on the laws of wind and sand erosion. Background Technology

[0002] Desert areas in aeolian belts are characterized by rapid sand movement, severe wind erosion and sand burial, difficulty in vegetation establishment, and poor stability. Sand barriers are generally used to assist vegetation establishment. However, current conventional sand barrier technologies often suffer from a mismatch between vegetation and wind erosion patterns, leading to wasted resources and manpower without achieving satisfactory wind and sand protection. Therefore, it is urgent to research a technology that can analyze wind and sand erosion patterns to achieve optimal wind and sand protection, predict sand movement trajectories in advance, and select the best protective vegetation. Summary of the Invention

[0003] The present invention aims to provide a vegetation protection method based on the law of wind and sand erosion, which solves the problem that the selection of vegetation for wind and sand protection in the prior art is not targeted and cannot make corresponding vegetation protection measures according to the wind and sand erosion trajectory.

[0004] To achieve the above objectives, the present invention provides the following method:

[0005] This invention provides a vegetation protection method based on the law of wind and sand erosion:

[0006] S1: Collect historical wind and sand erosion patterns, and record data on the air impact degree, soil erosion degree, and vegetation erosion degree of wind and sand based on the historical wind and sand erosion patterns;

[0007] S2: Based on the air impact, soil erosion and vegetation erosion data of the wind and sand erosion boundary, and combined with large model construction technology, establish wind and sand-air impact model, wind and sand-soil impact model and wind and sand-vegetation impact model;

[0008] S3: Conduct erosion simulation experiments on the wind-sand-air impact model, wind-sand-soil impact model and wind-sand-vegetation impact model respectively to obtain air protection data, soil protection data and vegetation protection data;

[0009] S4: Real-time monitoring and evaluation of the air protection data, the soil protection data, and the vegetation protection data to obtain wind and sand monitoring data; prediction of wind and sand movement patterns based on the wind and sand monitoring data to obtain wind and sand trajectory prediction results.

[0010] S5: Integrate the air protection data, soil protection data and vegetation protection data to obtain the first vegetation protection scheme;

[0011] S6: Establish a vegetation protection trajectory model based on the first vegetation protection scheme and the wind and sand trajectory prediction results;

[0012] S7: Perform real-time big data simulation and real-time correction of the vegetation protection trajectory model and the actual wind and sand movement trajectory data to obtain the second vegetation protection scheme.

[0013] Preferably, the step of collecting historical wind and sand erosion patterns and recording data on air impact, soil erosion, and vegetation erosion based on these patterns includes: obtaining air impact through historical wind and sand erosion patterns, whereby air impact includes the degree of influence of wind and sand on air conditions at different distances from the wind and sand, and the erosion time of the wind and sand at different distances; obtaining soil erosion through historical wind and sand erosion patterns, where soil erosion includes the degree of influence of wind and sand on soil desertification at different distances, and the degree of influence of wind and sand on soil moisture at different distances; and obtaining vegetation erosion through historical wind and sand erosion patterns, where vegetation erosion includes the degree of influence of wind and sand on vegetation survival and the survival time of different vegetation types during wind and sand erosion.

[0014] Preferably, the step of establishing a wind-sand-air impact model, a wind-sand-soil impact model, and a wind-sand-vegetation impact model based on the air impact intensity, soil erosion intensity, and vegetation erosion intensity data of the wind-sand erosion boundary, combined with large model construction technology, includes: analyzing the influence relationship between wind-sand erosion rate and air, soil, and vegetation based on the air impact intensity, soil erosion intensity, and vegetation erosion intensity data at the wind-sand erosion boundary; and establishing wind-sand-air impact curves and wind-sand-soil impact curves based on the influence relationship between wind-sand erosion rate and air, soil, and vegetation. Line graphs and wind-sand-vegetation impact curves are generated; based on the wind-sand-air impact curves, wind-sand-soil impact curves, and wind-sand-vegetation impact curves, the wind-sand movement trajectory is determined and analyzed; the wind-sand erosion law is simulated using the wind-sand movement trajectory to obtain a wind-sand erosion gradient map; the wind-sand-air impact curves, wind-sand-soil impact curves, and wind-sand-vegetation impact curves are integrated with the corresponding wind-sand erosion gradient maps to obtain wind-sand-air impact models, wind-sand-soil impact models, and wind-sand-vegetation impact models.

[0015] Preferably, the steps of conducting erosion simulation experiments on the wind-sand-air impact model, wind-sand-soil impact model, and wind-sand-vegetation impact model to obtain air protection data, soil protection data, and vegetation protection data include: conducting erosion simulation experiments on the wind-sand-air impact model by planting different wind-sand protection vegetation at the wind-sand boundary, using different windflow guiding devices, and constructing isolation walls of different heights and materials to explore the degree of wind-sand air protection under different methods, and obtaining air protection data; conducting erosion simulation experiments on the wind-sand-soil impact model by compacting the soil at the wind-sand boundary into different densities, planting vegetation with different root soil-fixing effects, and spraying different amounts of water on the soil to explore the degree of wind-sand soil protection under different methods, and obtaining soil protection data; and conducting erosion simulation experiments on the wind-sand-vegetation impact model by planting vegetation with different root soil-fixing effects, planting vegetation with different lifespans affected by wind-sand erosion, and planting vegetation of different heights and densities to explore the degree of wind-sand vegetation protection under different planting methods, and obtaining vegetation protection data.

[0016] Preferably, the step of real-time monitoring and evaluation of the air protection data, soil protection data, and vegetation protection data to obtain wind and sand monitoring data includes: real-time monitoring of the air protection data, soil protection data, and vegetation protection data; setting fluctuation ranges for the air, soil, and vegetation protection data based on their fluctuations; determining the wind and sand erosion status based on these fluctuation ranges; and determining if the actual fluctuation amplitude of the air, soil, and vegetation protection data is greater than the fluctuation range of the air, soil, and vegetation protection data multiplied by 30. If the fluctuation range of the actual air, soil, and vegetation protection data is less than or equal to 30% of the fluctuation range of the air, soil, and vegetation protection data, then the fluctuation range of the air, soil, and vegetation protection data is normal, and the fluctuation range of the actual air, soil, and vegetation protection data is marked as wind and sand monitoring data; if the fluctuation range of the air, soil, and vegetation protection data is abnormal, vegetation protection remedial measures are taken based on the fluctuation range of the actual air, soil, and vegetation protection data; after taking the vegetation protection remedial measures, the wind and sand erosion status is judged again.

[0017] Preferably, the step of predicting the wind and sand movement pattern based on the wind and sand monitoring data to obtain the wind and sand trajectory prediction result includes: recording the point with the largest fluctuation amplitude in the actual fluctuation data of the air, soil and vegetation protection data within a continuous time period to obtain the wind and sand erosion point; if the wind and sand erosion points within a continuous time period are adjacent or coincident, then the wind and sand erosion point is the wind and sand trajectory prediction point; if the wind and sand erosion points within a continuous time period are not adjacent and do not coincide, then the wind and sand erosion point is the wind and sand trajectory normal point; judging the ratio of the number of wind and sand trajectory prediction points to the number of wind and sand trajectory normal points in real time; if the ratio of the number of wind and sand trajectory prediction points to the number of wind and sand trajectory normal points is 1:1, then one or two of the middle wind and sand trajectory prediction points are the wind and sand trajectory prediction direction; if the ratio of the number of wind and sand trajectory prediction points to the number of wind and sand trajectory normal points is less than 1:1, then there is no wind and sand trajectory prediction direction.

[0018] Preferably, the step of integrating the air protection data, soil protection data, and vegetation protection data to obtain a first vegetation protection scheme includes: judging the air protection data, soil protection data, and vegetation protection data; comparing the air protection data, soil protection data, and vegetation protection data pairwise; marking the differences in protection data between the air protection data, soil protection data, and vegetation protection data as different categories of protection intervals; averaging the different categories of protection intervals; integrating the different categories of protection intervals and calculating an average protection interval line; planting vegetation according to the average protection interval line, wherein the planted vegetation species are those with the best wind and sand prevention effect among the air protection data, soil protection data, and vegetation protection data; and implementing auxiliary vegetation wind and sand prevention measures based on the optimal protection measures among the air protection data, soil protection data, and vegetation protection data to obtain the first vegetation protection scheme.

[0019] Preferably, the formula for calculating the average protection zone line is:

[0020] ;

[0021] Where S is the average protection zone line, a is the air protection data, b is the soil protection data, and c is the vegetation protection data.

[0022] Preferably, the step of establishing a vegetation protection trajectory model based on the first vegetation protection scheme and the wind and sand trajectory prediction results includes: monitoring the changes in the wind and sand trajectory prediction points in real time when implementing the first vegetation protection scheme; if the number of wind and sand trajectory prediction points begins to decrease, then establishing a vegetation protection trajectory model based on the first vegetation protection scheme; if the number of wind and sand trajectory prediction points does not decrease, then strengthening the vegetation protection status corresponding to the wind and sand trajectory prediction points according to the wind and sand trajectory prediction results, and establishing a vegetation protection trajectory model based on the strengthened first vegetation protection scheme.

[0023] Preferably, the step of performing real-time big data simulation and real-time correction of the vegetation protection trajectory model and the actual wind and sand movement trajectory data to obtain the second vegetation protection scheme includes: inputting the vegetation protection trajectory model into a big data model to simulate multiple scenarios of sudden wind and sand erosion; performing a big data analysis vegetation protection correction process based on the simulated multiple scenarios of sudden wind and sand erosion; collecting actual wind and sand movement trajectory data; monitoring the vegetation erosion status in real time based on the actual wind and sand movement trajectory data using the vegetation protection trajectory model that has undergone the big data analysis vegetation protection correction process; and performing real-time reinforcement and correction of the vegetation quantity behind the wind and sand boundary line based on the vegetation erosion status to obtain the second vegetation protection scheme.

[0024] The beneficial effects of this invention are as follows: By collecting historical wind and sand erosion patterns, this invention analyzes and decomposes these patterns from three aspects: air, soil, and vegetation. Taking into account multiple factors of wind and sand erosion, it can more accurately monitor the erosion patterns. Then, based on the gradient map of wind and sand erosion and the curves of corresponding categories, an impact model is obtained, reflecting the impact of wind and sand erosion through data, thus achieving visualization of wind and sand erosion data. Then, through simulation experiments, corresponding protection data is formulated. Based on the erosion state of wind and sand, the erosion trajectory is judged in real time, and vegetation protection schemes are integrated. This enables real-time control of vegetation protection to the maximum extent, ensuring that each plant can play a protective role, saving a lot of resources and manpower, and avoiding useless vegetation protection actions. Furthermore, based on the first vegetation protection scheme, the vegetation protection measures are fine-tuned through big data models and the actual movement trajectory of wind and sand, enabling a more refined vegetation protection process and achieving synchronization between vegetation protection and wind and sand trajectory, thus maximizing the effect of preventing wind and sand erosion. Attached Figure Description

[0025] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0026] Figure 1 A detailed schematic diagram illustrating the steps of a vegetation protection method based on the law of wind and sand erosion provided in an embodiment of the present invention;

[0027] Figure 2 A schematic flowchart of a vegetation protection method based on the law of wind and sand erosion provided in an embodiment of the present invention;

[0028] Figure 3 This is a schematic diagram illustrating the multi-faceted data analysis and transformation process of a vegetation protection method based on the law of wind and sand erosion, provided in an embodiment of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0031] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0032] Desert areas in aeolian belts are characterized by rapid sand movement, severe wind erosion and sand burial, difficulty in vegetation establishment, and poor stability. Sand barriers are generally used to assist vegetation establishment. However, current conventional sand barrier technologies often suffer from a mismatch between vegetation and wind erosion patterns, leading to wasted resources and manpower without achieving satisfactory wind and sand protection. Therefore, it is urgent to research a technology that can analyze wind and sand erosion patterns to achieve optimal wind and sand protection, predict sand movement trajectories in advance, and select the best protective vegetation.

[0033] The present invention aims to provide a vegetation protection method based on the law of wind and sand erosion, which solves the problem that the selection of vegetation for wind and sand protection in the prior art is not targeted and cannot make corresponding vegetation protection measures according to the wind and sand erosion trajectory.

[0034] like Figure 1-3 As shown in the figure, a specific embodiment of the present invention provides a vegetation protection method based on the law of wind and sand erosion, comprising the following steps:

[0035] S1: Collect historical wind and sand erosion patterns, and record data on the air impact, soil erosion, and vegetation erosion based on these patterns.

[0036] In this embodiment of the invention, the air impact degree is obtained by analyzing historical wind and sand erosion patterns. The air impact degree includes the degree of influence of wind and sand on air conditions at different distances from the wind and sand, and the erosion time of wind and sand under the influence of air conditions at different distances. The soil erosion degree is obtained by analyzing historical wind and sand erosion patterns. The soil erosion degree includes the degree of influence of wind and sand on soil desertification at different distances, and the degree of influence of wind and sand on soil moisture at different distances. The vegetation erosion degree is obtained by analyzing historical wind and sand erosion patterns. The vegetation erosion degree includes the degree of influence of wind and sand on vegetation survival and the survival time of different vegetation during the wind and sand erosion process.

[0037] S2: Based on the air impact, soil erosion and vegetation erosion data of the wind and sand erosion boundary, and combined with large model construction technology, establish wind and sand-air impact model, wind and sand-soil impact model and wind and sand-vegetation impact model.

[0038] In this embodiment of the invention, the influence relationship between wind and sand erosion rate and air, soil, and vegetation is obtained by analyzing data on air influence, soil erosion, and vegetation erosion at the wind and sand erosion boundary. Wind-sand-air influence curves, wind-sand-soil influence curves, and wind-sand-vegetation influence curves are established based on these relationships. The wind-sand movement trajectory is determined and analyzed based on these curves. A large-scale model simulation of wind and sand erosion patterns is performed using the wind-sand movement trajectory to obtain a wind-sand erosion gradient map. Finally, the wind-sand-air influence curves, wind-sand-soil influence curves, and wind-sand-vegetation influence curves are integrated with the corresponding wind-sand erosion gradient maps to obtain wind-sand-air influence models, wind-sand-soil influence models, and wind-sand-vegetation influence models.

[0039] S3: Erosion simulation experiments were conducted on the wind-sand-air impact model, the wind-sand-soil impact model, and the wind-sand-vegetation impact model, respectively, to obtain air protection data, soil protection data, and vegetation protection data.

[0040] In this embodiment of the invention, an erosion simulation experiment was conducted on the wind-sand-air impact model. Different wind-sand protection vegetation was planted at the wind-sand boundary, different wind-directing devices were used, and isolation walls of different heights and materials were constructed to explore the degree of wind-sand air protection under different methods, obtaining air protection data. An erosion simulation experiment was conducted on the wind-sand-soil impact model. The soil at the wind-sand boundary was compacted to different densities, different vegetation with varying root-fixing effects were planted, and different amounts of water were sprayed onto the soil to explore the degree of wind-sand soil protection under different methods, obtaining soil protection data. An erosion simulation experiment was conducted on the wind-sand-vegetation impact model. Different vegetation with varying root-fixing effects, different lifespans affected by wind-sand erosion, and different heights and densities were used to explore the degree of wind-sand protection under different vegetation types, obtaining vegetation protection data.

[0041] S4: Real-time monitoring and evaluation of air protection data, soil protection data, and vegetation protection data are conducted to obtain wind and sand monitoring data. Based on the wind and sand monitoring data, the wind and sand movement pattern is predicted to obtain the wind and sand trajectory prediction results.

[0042] In this embodiment of the invention, air protection data, soil protection data, and vegetation protection data are monitored in real time. Fluctuation ranges for these data are set based on their fluctuation patterns. The state of wind and sand erosion is determined based on these fluctuation ranges. If the actual fluctuation range of the air, soil, and vegetation protection data is greater than 30% of the fluctuation range, the fluctuation range is considered abnormal. If the actual fluctuation range is less than or equal to 30% of the fluctuation range, the fluctuation range is considered normal, and the fluctuation range is marked as wind and sand monitoring data. If normal, vegetation protection remedial measures are implemented based on the fluctuation range of the actual fluctuation data of air, soil, and vegetation protection. After implementing vegetation protection remedial measures, the wind and sand erosion status is assessed again. The point with the largest fluctuation range in the actual fluctuation data of air, soil, and vegetation protection within a continuous time period is recorded to obtain the wind and sand erosion point. If the wind and sand erosion points within a continuous time period are adjacent or overlap, the wind and sand erosion point is the wind and sand trajectory prediction point. If the wind and sand erosion points within a continuous time period are not adjacent or overlap, the wind and sand erosion point is the normal wind and sand trajectory point. The ratio of the number of wind and sand trajectory prediction points to the number of normal wind and sand trajectory points is judged in real time. If the ratio of the number of wind and sand trajectory prediction points to the number of normal wind and sand trajectory points is 1:1, then one or two wind and sand trajectory prediction points in the middle are the wind and sand trajectory prediction direction. If the ratio of the number of wind and sand trajectory prediction points to the number of normal wind and sand trajectory points is less than 1:1, then there is no wind and sand trajectory prediction direction.

[0043] S5: Integrate air protection data, soil protection data, and vegetation protection data to obtain the first vegetation protection plan.

[0044] In this embodiment of the invention, air protection data, soil protection data, and vegetation protection data are determined. These data are compared pairwise, and the differences in protection data among them are marked as different protection intervals. The average value of these different protection intervals is calculated, and the average protection interval line is then calculated after integrating them. Vegetation is planted according to the average protection interval line, and the planted vegetation types are those with the best wind and sand prevention effect among the air protection, soil protection, and vegetation protection data. Auxiliary vegetation wind and sand prevention measures are implemented based on the optimal protection measures among the air protection, soil protection, and vegetation protection data to obtain a first vegetation protection scheme. The formula for calculating the average protection interval line is:

[0045] ;

[0046] Where S is the average protection zone line, a is the air protection data, b is the soil protection data, and c is the vegetation protection data.

[0047] S6: Establish a vegetation protection trajectory model based on the first vegetation protection plan and the wind and sand trajectory prediction results.

[0048] In this embodiment of the invention, when implementing the first vegetation protection scheme, the changes in the wind and sand trajectory prediction points are monitored in real time. If the number of wind and sand trajectory prediction points begins to decrease, a vegetation protection trajectory model is established according to the first vegetation protection scheme. If the number of wind and sand trajectory prediction points does not decrease, the vegetation protection status of the corresponding wind and sand trajectory prediction points is strengthened according to the wind and sand trajectory prediction results, and a vegetation protection trajectory model is established according to the strengthened first vegetation protection scheme.

[0049] S7: Real-time correction of the vegetation protection trajectory model through big data simulation and real-time correction of the actual wind and sand movement trajectory data to obtain the second vegetation protection scheme.

[0050] In this embodiment of the invention, the vegetation protection trajectory model is input into a big data model to simulate various sudden wind and sand erosion situations. Based on the simulated sudden wind and sand erosion situations, a big data analysis is performed to correct the vegetation protection process. Data on the actual movement trajectory of wind and sand is collected. The vegetation protection trajectory model, which has undergone the big data analysis and vegetation protection correction process, is used to monitor the erosion of vegetation in real time according to the actual movement trajectory data of wind and sand. Based on the erosion of vegetation, the amount of vegetation behind the wind and sand boundary line is reinforced and corrected in real time to obtain a second vegetation protection scheme.

[0051] The beneficial effects of this invention are as follows: By collecting historical wind and sand erosion patterns, this invention analyzes and decomposes these patterns from three aspects: air, soil, and vegetation. Taking into account multiple factors of wind and sand erosion, it can more accurately monitor the erosion patterns. Then, based on the gradient map of wind and sand erosion and the curves of corresponding categories, an impact model is obtained, reflecting the impact of wind and sand erosion through data, thus achieving visualization of wind and sand erosion data. Then, through simulation experiments, corresponding protection data is formulated. Based on the erosion state of wind and sand, the erosion trajectory is judged in real time, and vegetation protection schemes are integrated. This enables real-time control of vegetation protection to the maximum extent, ensuring that each plant can play a protective role, saving a lot of resources and manpower, and avoiding useless vegetation protection actions. Furthermore, based on the first vegetation protection scheme, the vegetation protection measures are fine-tuned through big data models and the actual movement trajectory of wind and sand, enabling a more refined vegetation protection process and achieving synchronization between vegetation protection and wind and sand trajectory, thus maximizing the effect of preventing wind and sand erosion.

[0052] The above descriptions are merely embodiments of the present invention. Commonly known technical solutions or characteristics are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A vegetation protection method based on the law of wind and sand erosion, characterized in that, The method includes: S1: Collect historical wind and sand erosion patterns, and record data on the air impact degree, soil erosion degree, and vegetation erosion degree of wind and sand based on the historical wind and sand erosion patterns; S2: Based on the air impact, soil erosion and vegetation erosion data of the wind and sand erosion boundary, and combined with large model construction technology, establish wind and sand-air impact model, wind and sand-soil impact model and wind and sand-vegetation impact model; S3: Conduct erosion simulation experiments on the wind-sand-air impact model, wind-sand-soil impact model and wind-sand-vegetation impact model respectively to obtain air protection data, soil protection data and vegetation protection data; S4: Real-time monitoring and evaluation of the air protection data, the soil protection data, and the vegetation protection data to obtain wind and sand monitoring data; prediction of wind and sand movement patterns based on the wind and sand monitoring data to obtain wind and sand trajectory prediction results. S5: Integrate the air protection data, soil protection data and vegetation protection data to obtain the first vegetation protection scheme; S6: Establish a vegetation protection trajectory model based on the first vegetation protection scheme and the wind and sand trajectory prediction results; S7: Perform real-time big data simulation and real-time correction of the vegetation protection trajectory model and the actual wind and sand movement trajectory data to obtain the second vegetation protection scheme.

2. The vegetation protection method based on the wind and sand erosion pattern according to claim 1, characterized in that, The steps of collecting historical wind and sand erosion patterns and recording data on the air impact, soil erosion, and vegetation erosion based on these patterns include: By studying historical wind and sand erosion patterns, the air impact degree is obtained. The air impact degree includes the degree of influence of wind and sand on air conditions at different distances from the wind and sand, as well as the erosion time of wind and sand under the influence of air conditions at different distances. Soil erosion degree is obtained by analyzing historical wind and sand erosion patterns. The soil erosion degree includes the degree of influence of wind and sand on soil desertification at different distances, as well as the degree of influence of wind and sand on soil moisture at different distances. The vegetation erosion degree is obtained by analyzing historical wind and sand erosion patterns. The vegetation erosion degree includes the degree of impact of wind and sand on vegetation survival and the survival time of different vegetation during the wind and sand erosion process.

3. The vegetation protection method based on the wind and sand erosion pattern according to claim 1, characterized in that, The steps for establishing wind-sand-air impact models, wind-sand-soil impact models, and wind-sand-vegetation impact models based on the air impact intensity, soil erosion intensity, and vegetation erosion intensity data of the wind-sand erosion boundary, combined with large model construction technology, include: Based on the data of air influence, soil erosion and vegetation erosion at the wind and sand erosion boundary, the relationship between wind and sand erosion rate and the influence of air, soil and vegetation was obtained. Based on the relationship between wind and sand erosion rate and the influence of air, soil and vegetation, wind and sand-air influence curves, wind and sand-soil influence curves and wind and sand-vegetation influence curves were established. Based on the wind-sand-air influence curve, wind-sand-soil influence curve, and wind-sand-vegetation influence curve, the trajectory and route of wind-sand movement are determined and analyzed. A large-scale model was used to simulate the wind and sand erosion pattern by the wind and sand movement trajectory, and a wind and sand erosion gradient map was obtained. By integrating the wind-sand-air influence curve, wind-sand-soil influence curve, and wind-sand-vegetation influence curve with the corresponding wind-sand erosion gradient map, we obtain the wind-sand-air influence model, the wind-sand-soil influence model, and the wind-sand-vegetation influence model.

4. The vegetation protection method based on the wind and sand erosion law according to claim 1, characterized in that, The steps of conducting erosion simulation experiments on the wind-sand-air impact model, wind-sand-soil impact model, and wind-sand-vegetation impact model respectively to obtain air protection data, soil protection data, and vegetation protection data include: An erosion simulation experiment was conducted on the wind-sand-air impact model. Different wind-sand protection vegetation was planted at the wind-sand boundary, different wind flow guiding devices were used, and isolation walls of different heights and materials were constructed to explore the degree of wind-sand and air protection under different methods and obtain air protection data. An erosion simulation experiment was conducted on the wind-sand-soil impact model. The soil at the wind-sand boundary was compacted into different densities, and different vegetation with different root soil-fixing effects was planted. Different amounts of water were sprayed on the soil to explore the degree of wind-sand soil protection in different ways and obtain soil protection data. An erosion simulation experiment was conducted on the wind-sand-vegetation impact model. Different vegetation with different root soil stabilization effects, different lifespans affected by wind-sand erosion, and different heights and densities were planted to explore the degree of wind-sand protection by planting different vegetation, and vegetation protection data were obtained.

5. The vegetation protection method based on the wind and sand erosion law according to claim 1, characterized in that, The step of real-time monitoring and evaluation of the air protection data, the soil protection data, and the vegetation protection data to obtain wind and sand monitoring data includes: The air protection data, soil protection data, and vegetation protection data are monitored in real time, and fluctuation ranges for air, soil, and vegetation protection data are set based on the data fluctuations of the air protection data, soil protection data, and vegetation protection data. The state of wind and sand erosion is determined based on the fluctuation range of the air, soil, and vegetation protection data. If the fluctuation range of the actual fluctuation data of the air, soil and vegetation protection data is greater than 30% of the fluctuation range of the air, soil and vegetation protection data, then the fluctuation range of the air, soil and vegetation protection data is abnormal. If the fluctuation range of the actual fluctuation data of the air, soil and vegetation protection data is <= 30% of the fluctuation range of the air, soil and vegetation protection data, then the fluctuation range of the air, soil and vegetation protection data is normal, and the fluctuation range of the actual fluctuation data of the air, soil and vegetation protection data is marked as wind and sand monitoring data. If the fluctuation range of the air, soil and vegetation protection data is abnormal, vegetation protection remedial measures shall be taken according to the fluctuation amplitude of the actual fluctuation data of the air, soil and vegetation protection data. After implementing the aforementioned vegetation protection and remedial measures, the status of wind and sand erosion will be assessed again.

6. The vegetation protection method based on the wind and sand erosion law according to claim 5, characterized in that, The step of predicting the wind and sand movement pattern based on the wind and sand monitoring data to obtain the wind and sand trajectory prediction result includes: Record the point with the largest fluctuation amplitude in a continuous time period from the actual fluctuation data of the air, soil and vegetation protection data to obtain the wind and sand erosion point; If the wind and sand erosion points are adjacent or coincident within a continuous time period, then the wind and sand erosion points are wind and sand trajectory prediction points. If the wind and sand erosion points are not adjacent and do not overlap within a continuous time period, then the wind and sand erosion points are normal points of wind and sand trajectory. The ratio of the number of predicted wind and sand trajectory points to the number of normal wind and sand trajectory points is determined in real time. If the ratio of the number of predicted wind and sand trajectory points to the number of normal wind and sand trajectory points is 1:1, then one or two of the middle predicted wind and sand trajectory points are the predicted direction of the wind and sand trajectory. If the ratio of the number of predicted points to the number of normal points of the sandstorm trajectory is less than 1:1, then there is no predicted direction for the sandstorm trajectory.

7. A vegetation protection method based on wind and sand erosion patterns according to claim 6, characterized in that, The step of integrating the air protection data, soil protection data, and vegetation protection data to obtain the first vegetation protection scheme includes: The air protection data, soil protection data, and vegetation protection data are judged, and the air protection data, soil protection data, and vegetation protection data are compared in pairs. The protection data differences between the air protection data, soil protection data, and vegetation protection data are marked as different protection intervals. The average value of the different protection intervals is calculated, and the average protection interval line is calculated after integrating the different protection intervals. Vegetation was planted according to the average protection zone line, and the planted vegetation types were those with the best wind and sand prevention effect among the air protection data, soil protection data, and vegetation protection data. Based on the optimal protective measures among the air protection data, soil protection data, and vegetation protection data, auxiliary vegetation wind and sand prevention measures are implemented to obtain the first vegetation protection scheme.

8. The vegetation protection method based on the wind and sand erosion law according to claim 7, characterized in that: The formula for calculating the average protection zone line is as follows: ； Where S is the average protection zone line, a is the air protection data, b is the soil protection data, and c is the vegetation protection data.

9. A vegetation protection method based on the law of wind and sand erosion according to claim 7, characterized in that, The step of establishing a vegetation protection trajectory model based on the first vegetation protection scheme and the wind and sand trajectory prediction results includes: When implementing the first vegetation protection scheme, the changes in the wind and sand trajectory prediction points are monitored in real time. If the number of wind and sand trajectory prediction points begins to decrease, a vegetation protection trajectory model is established based on the first vegetation protection scheme. If the number of wind and sand trajectory prediction points does not decrease, the vegetation protection status corresponding to the wind and sand trajectory prediction points is strengthened according to the wind and sand trajectory prediction results, and a vegetation protection trajectory model is established based on the strengthened first vegetation protection scheme.

10. A vegetation protection method based on the law of wind and sand erosion according to claim 9, characterized in that, The step of performing real-time big data simulation and real-time correction of the vegetation protection trajectory model and the actual wind and sand movement trajectory data to obtain the second vegetation protection scheme includes: The vegetation protection trajectory model is input into a big data model to simulate multiple scenarios of sudden wind and sand erosion. Based on the simulated scenarios of sudden wind and sand erosion, a big data analysis is conducted to correct the vegetation protection process. Collect actual wind and sand movement trajectory data, and monitor the vegetation erosion status in real time according to the vegetation protection trajectory model that has undergone the big data analysis and vegetation protection correction process. Based on the erosion of vegetation, the amount of vegetation behind the wind and sand boundary line is replenished and corrected in real time to obtain the second vegetation protection scheme.

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