Vegetation optimization configuration system for soil wind erosion prevention and control in arid region

Abstract

The invention discloses an arid region soil wind erosion prevention and control vegetation optimal configuration system, and relates to the technical field of arid region ecological restoration and soil wind erosion prevention and control. The system comprises the following components: a plant organ wind erosion rate determination module, a vegetation wear resistance database module, a wind erosion strength partitioning module, a vegetation gradient configuration execution module and a dynamic monitoring and feedback module. According to the invention, through the wind erosion and abrasion intensity partitioning module, the wind speed, the sand grain density, the terrain, the altitude and the seasonal dynamic change factors are comprehensively considered, an improved wind erosion intensity index algorithm is adopted, the region is accurately divided into strong, medium and weak abrasion regions, and the accurate partitioning provides a scientific basis for the subsequent vegetation configuration, so that the vegetation configuration can adapt to local conditions, and the vegetation configuration efficiency is improved. The vegetation gradient configuration execution module configures plants with corresponding wear-resistant grades according to regions with different abrasion strengths, and meanwhile, the vegetation gradient configuration execution module reasonably configures single-species or multi-species mixed vegetation based on a wear-resistant matching degree algorithm and a species complementarity algorithm.

Description

Technical Field

[0001] This invention relates to the field of ecological restoration and soil erosion control in arid areas, specifically a vegetation optimization configuration system for soil erosion control in arid areas. Background Technology

[0002] In arid and semi-arid regions, soil erosion is becoming increasingly severe, becoming one of the key factors restricting the improvement of the regional ecological environment and the sustainable development of agriculture. Under the action of strong winds, bare or low-vegetation surfaces are extremely susceptible to wind erosion, leading to soil structure damage, fertility decline, and even triggering extreme weather events such as sandstorms, which have a serious impact on human production, life and ecosystems.

[0003] Traditional methods for controlling soil wind erosion often focus on planting single vegetation species or setting up simple physical barriers, lacking a systematic analysis of regional environmental characteristics and a scientific plan for vegetation configuration. Specifically, traditional methods often ignore the differences in wind erosion intensity across different regions, leading to unreasonable vegetation configurations and limited wind erosion resistance. Furthermore, the lack of comprehensive assessment of vegetation's abrasion resistance, sand-fixing capacity, and environmental adaptability makes it difficult for vegetation communities to maintain long-term stability and ecological functions in the face of complex and variable arid environments. In addition, traditional methods lack dynamic monitoring and feedback mechanisms, failing to adjust vegetation structure in a timely manner to cope with environmental changes, thus limiting the continuous improvement of soil wind erosion control effectiveness.

[0004] In view of the shortcomings of traditional soil wind erosion control technologies, the proposed vegetation optimization configuration system for soil wind erosion control in arid areas is particularly important. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a vegetation optimization configuration system for soil wind erosion control in arid areas. By comprehensively considering factors such as wind speed, sand density, topography, altitude, and seasonal dynamic changes, and employing advanced wind erosion intensity index and abrasion resistance matching degree algorithms, the system achieves precise and scientific vegetation configuration. At the same time, with the help of a dynamic monitoring and feedback module, the system can monitor the vegetation status in real time and automatically adjust the configuration scheme, ensuring the continuous and stable wind erosion resistance of the vegetation community.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a vegetation optimization configuration system for soil wind erosion control in arid areas, which includes the following components: a plant organ wind erosion and abrasion rate measurement module, a vegetation abrasion resistance performance database module, a wind erosion and abrasion intensity zoning module, a vegetation gradient configuration execution module, and a dynamic monitoring and feedback module. Plant organ wind erosion and abrasion rate measurement module: includes wind tunnel experimental device and parameter monitoring unit, used to obtain the abrasion rate of different plant organs under gradient wind speed and sand density through wind tunnel experiment; Vegetation abrasion resistance database module: stores the abrasion rate, sand fixation capacity coefficient and stress resistance parameters of plant species, including drought resistance coefficient, salt and alkali tolerance, and disease and pest resistance level; Wind erosion intensity zoning module: Based on wind speed, sand density, topography, altitude and seasonal dynamics, the wind erosion intensity index algorithm is used to divide the region into strong, medium and weak erosion zones; Vegetation gradient configuration execution module: Based on abrasion resistance matching degree algorithm and species complementarity algorithm, it configures plants with corresponding abrasion resistance levels according to the partitioning results, including single species configuration and multi-species mixed configuration; Dynamic monitoring and feedback module: Includes sensor network and intelligent decision-making unit, which adjusts vegetation structure through real-time monitoring data to maintain abrasion resistance.

[0007] Furthermore, the wind tunnel experimental device of the plant organ wind erosion rate measurement module can simulate a gradient wind speed of 0-30 m / s, and can control the sand particle size to be 0.1-0.5 mm and the sand particle density to be 10-50 g / m²·s through a sand particle injection device; the parameter monitoring unit includes a high-definition imaging device and a mass sensor. The high-definition imaging device is used to record the morphological changes of plant organs in real time during the erosion process, and the mass sensor is used to continuously monitor the mass loss of plant organs. The erosion rate is obtained by calculating the mass loss per unit time, specifically: The time unit is hours, which is used to quantify the abrasion resistance of plant organs under different wind erosion conditions.

[0008] Furthermore, the vegetation abrasion resistance database module stores parameters including plant species name, organ type, abrasion rate corresponding to different wind speeds, abrasion rate corresponding to different sand grain densities, and sand-fixing capacity coefficient; wherein the sand-fixing capacity coefficient is obtained through calculation: ,in This is the sand-fixing capacity coefficient, with a value ranging from 0 to 1. For root system to hold firm, Canopy retention rate, and These are the weighting coefficients. The value ranges from 0.6 to 0.7. The values ​​range from 0.3 to 0.4, and the weights are determined based on field monitoring data in arid areas. Since root anchorage contributes more to soil resistance to wind erosion, therefore... Greater than The database adopts a distributed storage architecture and supports access to experimental data of new plant species through API interfaces, enabling dynamic updates and expansion.

[0009] Furthermore, the wind erosion intensity zoning module uses an improved wind erosion intensity index algorithm for zoning, and the algorithm formula is as follows: ,in The wind erosion and abrasion intensity index. For wind speed, The density of sand grains, For the regional altitude, For terrain correction factors, hilly areas Plains River Valley ;when At that time, it was divided into a strong abrasion zone; when At that time, it was divided into the medium abrasion zone; when At that time, it was divided into a weak abrasion zone; the algorithm comprehensively considers the influence of wind speed, sand density, and topography on wind erosion, where the cubic term of wind speed and the quadratic term of sand density reflect their nonlinear enhancement effect on abrasion intensity, and the altitude factor This is used to correct the weakening effect of thin air on wind erosion energy in high-altitude areas, making the zoning results more consistent with the actual geographical environment of arid regions.

[0010] Furthermore, the vegetation gradient configuration execution module determines the plant configuration scheme based on the wear resistance matching degree algorithm, the algorithm formula being: ,in For wear resistance matching degree, the value ranges from 0 to 2. For plant organ abrasion rate, The sand fixation capacity coefficient. and These are the weighting coefficients. In areas of high abrasion , Prioritize wear resistance; in the medium abrasion zone , Balancing wear resistance and sand-fixing ability; in areas with weak abrasion. , It focuses on sand fixation effects; when When the optimal species configuration is determined, the spacing between plants in the strong abrasion zone is controlled at 0.5-1m, the spacing between plants in the medium abrasion zone is 1-2m, and the spacing between plants in the weak abrasion zone is 2-3m. A staggered row and column planting pattern is adopted to enhance the interception effect on wind and sand flow.

[0011] Furthermore, the sensor network of the dynamic monitoring and feedback module includes a wind speed sensor, a sand counter, and a vegetation monitor, with a data acquisition frequency of once per hour; the intelligent decision-making unit employs an early warning threshold algorithm. ,in The wear rate warning threshold is set at the threshold. The abrasion rate of the initial vegetation configuration in this area. For real-time monitoring of wind erosion intensity index, This is the initial index when partitioning; when the real-time abrasion rate exceeds... When the system triggers an early warning, it automatically generates a replanting plan, prioritizing replanting within the same area. The top three plant species are selected to ensure the continuous and stable wear resistance of the vegetation community.

[0012] Furthermore, the resilience parameters of the vegetation abrasion resistance database module are correlated with the sand-fixing capacity coefficient through a coupling algorithm: ,in The comprehensive sand fixation capacity coefficient is set to a value between 0 and 1. The drought tolerance coefficient is 0-1, based on leaf transpiration rate measurements. For salt and alkalinity tolerance, a range of 0-1 is calculated based on the soil pH tolerance range. The disease and pest resistance level is 0-1, based on the statistical probability of disease occurrence in the field. This coupled algorithm enables the database to not only reflect the plant's abrasion resistance and sand fixation ability, but also to comprehensively evaluate its survival adaptability in the complex environment of arid areas, providing more comprehensive parameter support for vegetation configuration.

[0013] Furthermore, when the wind erosion intensity zoning module combines the seasonal dynamic adjustment zoning results, it introduces a seasonal correction coefficient. :spring Frequent sandstorms, especially in summer High vegetation coverage, autumn In the early stages of vegetation withering, during winter The vegetation cover is low; the corrected wind erosion intensity index is: The partition threshold is adjusted synchronously to: strong abrasion zone Medium abrasion zone Weakly eroded area By dynamically correcting seasonal patterns, the zoning results can be adapted to the changes in wind erosion characteristics in different seasons in arid areas, thereby improving the timeliness and accuracy of vegetation configuration.

[0014] Furthermore, the vegetation gradient configuration execution module uses a species complementarity algorithm to determine the mixing ratio when configuring multi-species mixed plantings: ,in For the first The mixing ratio of plants, ᵢ represents the abrasion resistance matching degree of this plant. The niche complementarity index ranges from 0 to 1, calculated based on the intensity of competition for light and water among species. A weaker competition indicates a higher complementarity. The larger the size; the mixing ratio must meet the following requirements. Furthermore, the proportion of a single species should not exceed 60% to avoid community homogenization; the algorithm enables multiple species to complement each other in terms of wear resistance, sand fixation capacity and resource utilization, thereby enhancing the overall stability of the vegetation community and the effect of wind erosion control.

[0015] Compared with existing technologies, this vegetation optimization configuration system for soil wind erosion control in arid areas has the following beneficial effects: I. This system, through a wind erosion intensity zoning module, comprehensively considers factors such as wind speed, sand density, topography, altitude, and seasonal dynamic changes. Employing an improved wind erosion intensity index algorithm, it accurately divides the region into strong, medium, and weak erosion zones. This precise zoning provides a scientific basis for subsequent vegetation configuration, enabling site-specific planting. Appropriate abrasion-resistant plants are selected for areas with different abrasion intensities. Simultaneously, the vegetation gradient configuration execution module, based on abrasion-resistant matching degree and species complementarity algorithms, rationally configures single-species or multi-species mixed vegetation, effectively enhancing the overall stability of the vegetation community and the wind erosion control effect, significantly improving the efficiency of soil wind erosion control in arid regions.

[0016] Second, this system, through its built-in dynamic monitoring and feedback module, which includes a sensor network and an intelligent decision-making unit, can monitor key data such as wind speed, sand grain count, and vegetation status in real time. The intelligent decision-making unit analyzes and processes this data. Once the real-time monitored abrasion rate exceeds the warning threshold, the system will immediately trigger the warning mechanism and automatically generate a replanting plan, prioritizing the replanting of plant species with excellent abrasion resistance in the same area. This dynamic monitoring and intelligent feedback mechanism ensures that the vegetation community can continuously adapt to environmental changes and maintain the stability of its abrasion resistance, providing a strong guarantee for the long-term prevention and control of soil wind erosion in arid areas.

[0017] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] Figure 1 Flowchart of the operation of a vegetation optimization configuration system for soil wind erosion control in arid areas; Figure 2 A flowchart of the overall process for optimizing vegetation configuration for soil wind erosion control in arid regions. Detailed Implementation

[0020] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below. Example

[0021] First, the plant organ wind erosion and abrasion rate measurement module is activated. This module, through the collaborative work of a wind tunnel experimental device and a parameter monitoring unit, provides precise basic data support for subsequent vegetation configuration. The wind tunnel experimental device simulates the common 0-30 m / s gradient wind speeds under different scenarios in this grassland area, such as frequent spring sandstorms and strong winter winds. At the same time, a sand particle jetting device controls the sand particle size to the widely distributed range of 0.1-0.5 mm in this area, and the sand particle density is adjusted to 10-50 g / m²・s to reflect the actual sand particle movement characteristics in the local area. Next, the parameter monitoring unit is activated, and a high-definition imaging device records in real time the morphological changes of the leaves, stems, and other organs of the main local plants during the abrasion process, such as the degree of leaf damage and the surface wear of stems. This morphological data can intuitively reflect the abrasion resistance status of plant organs. Simultaneously, a mass sensor continuously monitors the mass loss of these plant organs. Through the abrasion rate calculation method, the mass loss data is converted into a quantifiable abrasion rate index. This index can accurately compare the abrasion resistance of different plant organs under corresponding wind erosion conditions, providing a core basis for subsequent screening of abrasion-resistant plants.

[0022] The abrasion rate of plants such as sheepgrass and needlegrass, along with parameters such as root fixation, canopy interception rate, drought resistance coefficient, salt and alkali tolerance, and disease and pest resistance level obtained through field sampling and measurement, are entered into the vegetation abrasion resistance performance database module. This module stores these multi-dimensional parameters in the system to build a dedicated plant abrasion resistance performance dataset for this grassland area. This not only enables centralized management and rapid retrieval of key plant performance parameters, but also provides comprehensive and accurate data support for subsequent modules such as wind erosion intensity zoning and vegetation gradient configuration, avoiding unreasonable configuration schemes due to missing or inaccurate data.

[0023] The wind erosion intensity zoning module was run. This module scientifically divides erosion areas to lay the foundation for subsequent differentiated vegetation configuration. First, it collects data on wind speed, sand density, topography, and altitude of the grassland area. At the same time, it fully considers the impact of seasonal dynamic differences on wind erosion intensity. In spring, wind and sand activities are frequent, and the wind erosion intensity is significantly higher than in other seasons. In summer, the vegetation coverage is high, and the vegetation has a strong blocking effect on wind and sand, so the wind erosion intensity is reduced. In autumn, the vegetation enters the early stage of withering, the coverage decreases, and the wind erosion intensity rebounds. In winter, the vegetation coverage is low and the wind is strong, so the wind erosion intensity is high.

[0024] Based on this data, the initial wind erosion intensity index is first calculated using the wind erosion intensity index algorithm. The algorithm formula is as follows: ,in The wind erosion and abrasion intensity index. For wind speed, The density of sand grains, For the regional altitude, For terrain correction factors; when At that time, it was divided into a strong abrasion zone; when At that time, it was divided into the medium abrasion zone; when At that time, the area was divided into weak abrasion zones. This index can comprehensively reflect the influence of various factors on the intensity of wind erosion. Then, corresponding seasonal correction coefficients were introduced according to different seasons. The coefficients were set to 1.3 in spring, 0.8 in summer, 1.1 in autumn, and 1.2 in winter to correct the initial index, so that the index can more accurately match the actual wind erosion situation in different seasons. Then, based on the corrected wind erosion intensity index, the grassland area was divided into different abrasion intensity zones according to the standards of strong abrasion zone, medium abrasion zone, and weak abrasion zone, clarifying the wind erosion risk level of each zone, and providing a clear target guide for subsequent configuration of suitable vegetation in different risk areas.

[0025] The vegetation gradient configuration execution module is activated. This module is the core of vegetation optimization configuration. It uses scientific algorithms to determine the configuration scheme, ensuring that vegetation can effectively cope with wind erosion in different areas. Based on the zoning results from step 3, the abrasion resistance matching degree algorithm is first applied. Combining the obtained plant abrasion rate and the plant sand-fixing capacity coefficient calculated using the sand-fixing capacity coefficient method, the abrasion resistance matching degree of different plants in each zone is determined. The algorithm formula is as follows: ,in For wear resistance matching, For plant organ abrasion rate, The sand fixation capacity coefficient. and As a weighting coefficient, this matching degree can intuitively reflect the degree of adaptation between plants and the wind erosion environment of their respective zones. The higher the matching degree, the better the abrasion resistance and sand fixation effect of the plants in that area.

[0026] For areas with relatively uniform soil conditions, stable wind erosion intensity, and suitable for single-species configuration within a single abrasion zone, plants with high abrasion resistance matching are directly selected for configuration. For areas with large fluctuations in wind erosion intensity, complex soil conditions, or where it is necessary to improve vegetation community stability and ecological function, a multi-species mixed configuration is adopted. In this case, a species complementarity algorithm is used, combining the abrasion resistance matching degree of each plant and the species niche complementarity index, to determine the mixing ratio of plants such as Leymus chinensis and Stipa argyi. The formula is as follows: ,in For the first The mixing ratio of plants, ᵢ represents the abrasion resistance matching degree of this plant. The species niche complementarity index; the mixed breeding ratio must meet the following requirements. Furthermore, the proportion of a single species should not exceed 60% to avoid community homogenization. It is strictly guaranteed that the proportion of a single species does not exceed 60% and the total proportion of all species mixed is 100%. Through reasonable species matching and proportion setting, the mixed community can give full play to the abrasion resistance and sand fixation advantages of each species, and achieve harmonious coexistence among species, thereby improving the stability of the overall vegetation community and the wind erosion prevention effect, and completing the vegetation gradient configuration of the grassland area.

[0027] Finally, the dynamic monitoring and feedback module is activated. This module ensures that the vegetation maintains good abrasion resistance in the long term through real-time monitoring and dynamic adjustment, and solves the problem of reduced protective effect caused by environmental changes after vegetation configuration. First, a sensor network consisting of wind speed sensors, sand counters and vegetation monitors is deployed to collect real-time data of the grassland area at a frequency of once per hour. The high-frequency data collection can capture subtle changes in the environment and vegetation in a timely manner, providing timely basis for subsequent decision-making.

[0028] The intelligent decision-making unit uses an early warning threshold algorithm, combining the erosion rate of the initial vegetation configuration in the area, the real-time monitored wind erosion intensity index, and the initial index at the time of zoning, to calculate the erosion rate early warning threshold. The formula is as follows: ,in The wear rate warning threshold is set at the threshold. The abrasion rate of the initial vegetation configuration in this area. For real-time monitoring of wind erosion intensity index, This is the initial index when dividing the area; this threshold is a key standard for judging whether vegetation can withstand the current wind erosion environment. When the real-time monitoring shows that the vegetation abrasion rate exceeds the warning threshold, it indicates that the current vegetation abrasion resistance can no longer meet the needs of wind erosion prevention and control. The system immediately triggers an early warning to remind managers to pay attention. At the same time, it automatically generates a replanting plan, prioritizing the replanting of the top 3 plant species with the highest abrasion resistance matching degree in the area. These species have a high abrasion resistance matching degree, can quickly adapt to the current environment and play a role in abrasion resistance and sand fixation, timely replenishing the vegetation protection capacity, maintaining the abrasion resistance efficiency of the vegetation in the area, and ensuring the long-term stability of wind erosion prevention and control effects. Example

[0029] The plant organ wind erosion abrasion rate measurement module was activated, and the wind tunnel experimental device within the module was used to simulate the common 0-30 m / s gradient wind speed in this transition zone. The sand particle size was controlled at 0.1-0.5 mm and the sand particle density was adjusted to 10-50 g / m²・s through the sand particle injection device. Then, the parameter monitoring unit was activated, and the changes in the abrasion morphology of the main plant organs in this area were recorded in real time using a high-definition imaging device. The mass loss of the organs was continuously monitored using a mass sensor, and the abrasion rate of different plant organs under the corresponding wind erosion conditions was obtained according to the abrasion rate calculation method.

[0030] The abrasion rate of Populus euphratica and Haloxylon ammodendron, as well as subsequent measured parameters such as root fixation, canopy interception rate, drought resistance coefficient, salt and alkali tolerance, and disease and pest resistance level, were entered into the vegetation abrasion resistance performance database module. At the same time, the stress resistance parameters were correlated with the sand fixation capacity coefficient through a coupling algorithm to obtain a comprehensive sand fixation capacity coefficient, thereby improving the relevant data of plants in this region in the database.

[0031] Run the wind erosion intensity zoning module to collect wind speed, sand density, topography, and altitude data for the transition zone. Consider seasonal dynamics and introduce seasonal correction coefficients: 1.3 for spring, 0.8 for summer, 1.1 for autumn, and 1.2 for winter. First, use an improved wind erosion intensity index algorithm to calculate the initial wind erosion intensity index, and then correct it with the seasonal correction coefficient. Then, according to the classification criteria of strong, medium, and weak erosion zones, the index of the strong erosion zone is ≥800×seasonal correction coefficient, the index of the medium erosion zone is ≤300×seasonal correction coefficient and <800×seasonal correction coefficient, and the index of the weak erosion zone is <300×seasonal correction coefficient, thus completing the erosion intensity zoning of the transition zone.

[0032] The vegetation gradient configuration execution module is activated. Based on the zoning results of step 3, the abrasion resistance matching degree algorithm is used to determine the abrasion resistance matching degree of each plant in combination with the plant abrasion rate and sand fixation capacity coefficient. For single-species configuration areas, plants with high abrasion resistance matching degree are selected for configuration. For multi-species mixed configuration areas, the species complementarity algorithm is used to determine the mixing ratio of plants such as Populus euphratica and Haloxylon ammodendron in combination with the abrasion resistance matching degree of each plant and the species niche complementarity index, ensuring that the proportion of a single species does not exceed 60% and the total proportion is 100%, thereby realizing the vegetation gradient configuration of this transition zone.

[0033] The dynamic monitoring and feedback module is activated, and a sensor network consisting of wind speed sensors, sand counters, and vegetation monitors is deployed to collect real-time data once per hour. The intelligent decision-making unit uses an early warning threshold algorithm to calculate the abrasion rate early warning threshold. When the real-time abrasion rate exceeds the threshold, the system triggers an early warning and automatically generates a replanting plan, prioritizing the replanting of the top three plant species with the highest abrasion resistance in the area to ensure the stability of the abrasion resistance performance of the vegetation in the transition zone.

[0034] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A vegetation optimization configuration system for soil wind erosion control in arid areas, characterized in that, The system comprises the following components: a plant organ wind erosion and abrasion rate measurement module, a vegetation abrasion resistance performance database module, a wind erosion and abrasion intensity zoning module, a vegetation gradient configuration execution module, and a dynamic monitoring and feedback module. Plant organ wind erosion and abrasion rate measurement module: includes wind tunnel experimental device and parameter monitoring unit, used to obtain the abrasion rate of different plant organs under gradient wind speed and sand density through wind tunnel experiment; Vegetation abrasion resistance database module: stores the abrasion rate, sand fixation capacity coefficient and stress resistance parameters of plant species; Wind erosion intensity zoning module: Based on wind speed, sand density, topography, altitude and seasonal dynamics, the wind erosion intensity index algorithm is used to divide the region into strong, medium and weak erosion zones; Vegetation gradient configuration execution module: Based on abrasion resistance matching degree algorithm and species complementarity algorithm, it configures plants with corresponding abrasion resistance levels according to the partitioning results, including single species configuration and multi-species mixed configuration; Dynamic monitoring and feedback module: Includes sensor network and intelligent decision-making unit, which adjusts vegetation structure through real-time monitoring data to maintain abrasion resistance.

2. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, The wind tunnel experimental device of the plant organ wind erosion and abrasion rate determination module can simulate a gradient wind speed of 0-30 m / s, and can control the sand particle size to be 0.1-0.5 mm and the sand particle density to be 10-50 g / m²・s through a sand particle injection device; the parameter monitoring unit includes a high-definition imaging device and a mass sensor. The high-definition imaging device is used to record the morphological changes of plant organs in real time during the abrasion process, and the mass sensor is used to continuously monitor the mass loss of plant organs. The abrasion rate is obtained by calculating the mass loss per unit time, specifically: The time unit is hours, which is used to quantify the abrasion resistance of plant organs under different wind erosion conditions.

3. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, The vegetation abrasion resistance database module stores parameters including plant species name, organ type, abrasion rate corresponding to different wind speeds, abrasion rate corresponding to different sand grain densities, and sand fixation capacity coefficient; wherein the sand fixation capacity coefficient is obtained through calculation. ,in The sand fixation capacity coefficient. For root system to hold firm, Canopy retention rate, and These are the weighting coefficients.

4. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, The wind erosion intensity zoning module uses an improved wind erosion intensity index algorithm for zoning. The algorithm formula is as follows: ,in The wind erosion and abrasion intensity index. For wind speed, For sand grain density, For the regional elevation, For terrain correction factors; when At that time, it was divided into a strong abrasion zone; when At that time, it was divided into a medium abrasion zone; when At that time, it was divided into a weak abrasion zone.

5. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, The vegetation gradient configuration execution module determines the plant configuration scheme based on the wear resistance matching degree algorithm. The algorithm formula is as follows: ,in For wear resistance matching, For plant organ abrasion rate, The sand fixation capacity coefficient. and These are the weighting coefficients.

6. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, The sensor network of the dynamic monitoring and feedback module includes a wind speed sensor, a sand counter, and a vegetation monitor, with a data acquisition frequency of once per hour; the intelligent decision-making unit employs an early warning threshold algorithm. ,in The wear rate warning threshold is set at the threshold. The abrasion rate of the initial vegetation configuration in this area. For real-time monitoring of wind erosion intensity index, The initial index for partitioning; When the real-time abrasion rate exceeds When the system triggers an early warning, it automatically generates a replanting plan, prioritizing replanting within the same area. The top 3 plant species by value.

7. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, The resilience parameters of the vegetation abrasion resistance database module are correlated with the sand fixation capacity coefficient through a coupling algorithm: ,in To comprehensively measure sand fixation capacity coefficient, The drought resistance coefficient, For tolerance to salinity and alkalinity, This refers to the level of resistance to pests and diseases.

8. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, When the wind erosion intensity zoning module combines the zoning results with seasonal dynamic adjustments, a seasonal correction coefficient is introduced. :spring Frequent sandstorms, especially in summer High vegetation coverage, autumn In the early stages of vegetation withering, during winter The vegetation cover is low; the corrected wind erosion intensity index is: The partition threshold is adjusted synchronously to: strong abrasion zone Medium abrasion zone Weakly eroded area ; By dynamically adjusting the seasonal patterns, the zoning results can be adapted to the changes in wind erosion characteristics in different seasons in arid areas, thereby improving the timeliness and accuracy of vegetation configuration.

9. The vegetation optimization configuration system for soil wind erosion control in arid areas according to claim 1, characterized in that, When configuring multi-species mixed planting, the vegetation gradient configuration execution module uses a species complementarity algorithm to determine the mixing ratio: ,in For the first The mixing ratio of plants, ᵢ represents the abrasion resistance matching degree of this plant. The species niche complementarity index; the mixed breeding ratio must meet the following requirements. Furthermore, the proportion of a single species should not exceed 60% to avoid community homogenization.

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