Evaluation method for design scheme of wind-preventing and sand-fixing ecological product based on photovoltaic new energy

Abstract

The application provides a wind-preventing and sand-fixing ecological product design scheme evaluation method based on photovoltaic new energy, and relates to the technical field of ecological value evaluation.The steps of the application are as follows: S1, determining the accounting area range and time range of the wind-preventing and sand-fixing ecological product; S2, after determining the evaluation indexes, collecting photovoltaic operation and maintenance parameters and wind and sand monitoring data; each evaluation index corresponds to an ecological function quantity; S3, performing processing operation on the evaluation indexes; S4, performing coupling and quantization operation on the ecological function quantity and economic value; S5, performing wind-preventing and sand-fixing ecological product full life cycle discount value calculation operation.The beneficial effects are as follows: through the operations of introducing multi-dimensional evaluation indexes, classifying and calculating economic values, setting the photovoltaic array influence area as a dynamic area, and performing economic value discount calculation, the accuracy of the evaluation can be effectively improved and the evaluation difficulty can be reduced.

Description

Technical Field

[0001] This invention relates to the field of ecological value assessment technology, specifically to an evaluation method for design schemes of windbreak and sand-fixing ecological products based on photovoltaic new energy. Background Technology

[0002] In recent years, a desertification control method centered on photovoltaic (PV) power plants has emerged. A PV array consists of a pile foundation, a support structure, and PV panels. This structure reduces near-surface wind speed and stabilizes sand dunes, while also improving hydrothermal conditions beneath the panels and promoting the growth of low-lying vegetation, creating a coupled effect of "energy production and ecological improvement." Accurately assessing the windbreak and sand-fixing value of PV renewable energy is key to promoting the large-scale application of the "PV + desertification control" model. PV desertification control effectively inhibits desertification expansion by reducing near-surface wind speed and stabilizing sand dunes through PV panel arrays. Its ecological value is mainly reflected in the reduction of wind and sand activity and wind erosion losses.

[0003] While existing methods for ecological value accounting largely employ economic approaches such as market value and substitution cost methods, they still have significant shortcomings when applied to photovoltaic (PV) desertification control projects: First, the indicators are too singular. The indicator system lacks hierarchy, and existing studies often use single indicators such as fixed dune area as the assessment basis, failing to cover the entire process of "deceleration-erosion reduction-sand fixation" and failing to establish a systematic mapping between process mechanisms and value. Second, multi-source data integration is insufficient. PV operation and maintenance parameters (such as module coverage and panel spacing) and wind and sand monitoring data are difficult to match on a spatiotemporal scale, leading to high uncertainty in assessment results. Third, value conversion is one-sided. The cost substitution relationship between PV sand fixation and traditional engineering measures has not yet been systematically revealed. Fourth, model construction is weak. There is a lack of quantitative description of the correlation between specific PV parameters and ecological benefits, making it difficult to support extrapolation from local to regional scales. Fifth, the classification system is incomplete. The unique ecological products of PV desertification control are not clearly distinguished, easily leading to value duplication or omission. In summary, existing technologies suffer from structural deficiencies in terms of indicators, data, models, and classification systems, which limit the scientific calculation and widespread application of the windbreak and sand-fixing value of photovoltaic new energy.

[0004] The aforementioned issues collectively hinder the scientific assessment and large-scale application of the windbreak and sand-fixing value of photovoltaic new energy. Therefore, it is urgent to propose a method for calculating the ecological product value of windbreak and sand-fixing that takes into account both the characteristics of photovoltaic projects and ecological principles. This method should achieve full-process quantification, multi-source data fusion, multi-dimensional value conversion, and scientific extrapolation at various scales, thereby improving the systematic nature and accuracy of the assessment results and providing scientific support for the large-scale promotion of the "photovoltaic + sand control" model. Summary of the Invention

[0005] The main objective of this invention is to provide an evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy, thereby solving the problems mentioned in the background art.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for evaluating the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy, comprising the following steps: S1. Determine the accounting area and time frame for windbreak and sand-fixing ecological products; S2. After determining the evaluation indicators, collect photovoltaic operation and maintenance parameters and wind and sand monitoring data; S3. Process the evaluation indicators; S4. Perform coupled quantitative operations on ecological function quantities and economic value; S5. Perform the discounted value calculation of the entire life cycle of windbreak and sand-fixing ecological products.

[0007] Furthermore, the process of determining the regional scope is as follows: extract the distribution of photovoltaic arrays, combine it with the regional wind and sand transport simulation model, and construct the wind and sand transport influence area, denoted as region R; Based on chronological order, the time frame can be divided into the construction period, the operation period, and the decommissioning period.

[0008] Furthermore, the inputs to the regional wind and sand transport simulation model are the annual average prevailing wind direction, annual sand transport potential level, actual area occupied by the photovoltaic zone, and the ratio of module spacing to panel height; the output is the range of the affected area. Calculate the wind protection distance of the photovoltaic array based on the input. The expression is as follows: (1); in, For wind protection impact coefficient, This refers to the actual floor space occupied by the photovoltaic array; The wind resistance impact factor is determined by the annual sand transport potential (DP) and the ratio of module spacing to panel height. The decision and corresponding relationships are as follows: when hour, Take 15; when hour, Take 12; when hour, Take 10; when hour, Take 25; when hour, Take 20; when hour, Take 18; when hour, Take 35; when hour, Take 30; when hour, Take 25; Starting from the boundary of the photovoltaic zone, extending downwind along the average annual prevailing wind direction. Distance, extending upwind and crosswind direction The distance is used to determine the extent of the affected area.

[0009] Furthermore, the evaluation indicators include: the reduction in wind and sand activity intensity, the area of ​​photovoltaic sand fixation, the reduction in soil wind erosion, the reduction in sandstorm frequency, the increase in vegetation coverage under the photovoltaic panels, and the increase in soil carbon sequestration.

[0010] Furthermore, the detailed process for processing the evaluation indicators is as follows: The evaluation indicators will be uniformly denoted as Then its expression is as follows: (2); in, For the first One evaluation indicator, D , H , R , V These are the photovoltaic panel spacing, panel height, pile foundation depth, and vegetation coverage beneath the panels. U , O , C , B These are wind speed at which sand is lifted, sand transport rate, dust concentration, and frequency of sandstorms. t It is a time variable; Regarding the decrease in the intensity of sandstorm activity Its mathematical expression is given as follows: (3); in, , These are the wind and sand activity intensity indices before and after the treatment. According to U , O , C Specifically, the results are as follows: (4); in, , , They are U , O , B The corresponding intensity weight, , The wind speeds for sandstorms are shown before and after the treatment. , These represent the sediment transport rates before and after treatment, respectively. , The dust concentrations before and after the treatment are shown respectively. Regarding the wind speed of sand blowing U Sediment transport rate O Make corrections; The expression for the wind speed attenuation coefficient is defined as follows: (5); in, This is the wind speed attenuation coefficient; but U The corrected expression is: (6); in, The corrected wind speed for sandstorms; O The corrected expression is: (7); in, This is the corrected sediment transport rate; For photovoltaic sand fixation area Combined with the vegetation coverage under the board V Adjusting the accuracy coefficient Determine the area for sand fixation using photovoltaic new energy: (8); in, The area covered by the photovoltaic panel array; For the reduction value of soil wind erosion Its mathematical expression is given as follows: (9); in, , These represent soil wind erosion before and after treatment, respectively. Soil wind erosion is represented using an internationally accepted wind erosion assessment model: (10); in, G This refers to soil wind erosion. Q Driven by wind erosion K Soil erodibility, L For slope length factor, S For slope factor, P Factors related to soil and water conservation measures; The soil and water conservation measures factors were modified as follows: (11); in, The revised soil and water conservation measures factor; Regarding the reduction in the frequency of sandstorms Based on the definition, its mathematical expression is given as follows: (12); in, , The frequencies of sandstorms before and after the treatment are shown respectively. Regarding the increase in vegetation coverage under the board Based on the definition, its mathematical expression is given as follows: (13); in, , The vegetation coverage is shown before and after the treatment, respectively. For the increase in soil carbon sequestration Based on the definition, its mathematical expression is given as follows: (14); in, , These represent the soil carbon sequestration before and after treatment, respectively. It is related to the carbon sequestration growth coefficient, and the specific expression is as follows: (15).

[0011] Furthermore, economic value can be divided into: sand fixation economic value, disaster economic value, and land use economic value, which are respectively denoted as Category 1, Category 2, and Category 3 economic values.

[0012] Furthermore, the quantitative expression for the coupling of ecological function and economic value is as follows: (16); in, for For the first j Class of economic value, , The first i Ecological function quantity on the first j Contribution coefficient and adjustment coefficient of economic value.

[0013] Furthermore, the coupling quantization operation is performed as follows: S401, for any evaluation indicator The average value of the evaluation index is calculated based on the weight of different stages of its life cycle. ; S402. Calculate the expression for the ecological function quantity corresponding to the economic value of the evaluation index; The economic value of sand fixation is only related to the area of ​​photovoltaic sand fixation, and the ecological function of the area of ​​photovoltaic sand fixation corresponds to the economic value of sand fixation. The expression is: (17); in, The annual cost per unit area for traditional sand fixation projects, This represents the average area for windbreak and sand fixation. The economic value of a disaster is related to two assessment indicators: the reduction in soil wind erosion and the reduction in the frequency of dust storms. The reduction in soil wind erosion corresponds to the ecological function quantity of the economic value of the disaster. The expression is: (18); in, This represents the average reduction in soil wind erosion. The agricultural loss cost per unit of soil erosion, in this embodiment, refers to the amount of soil erosion per ton. The unit is yuan / t; The reduction in the frequency of dust storms corresponds to a reduction in the value of ecological function in terms of damage loss. The expression is: (19); in, This represents the average reduction in the frequency of sandstorms. The average economic loss from a single sandstorm; The economic value of land use is related to three assessment indicators: the area of ​​photovoltaic sand fixation, the increase in vegetation cover under the panels, and the increase in soil carbon sequestration. The ecological function of the land use economic value corresponds to the area of ​​photovoltaic sand fixation. The expression is: (20); in, This represents the average increase in economic output per unit area of ​​land. The increase in vegetation cover under the slab corresponds to the ecological function quantity of land use economic value. The expression is: (twenty one); in, This represents the average increase in vegetation cover under the slab. The economic value of the increase in vegetation coverage per unit area under the board; The increase in soil carbon sequestration value and the ecological function of land use economic value. The expression is: (twenty two); in, This represents an average increase in soil carbon sequestration. The economic value per unit of carbon sequestration; S403. Use formula (16) to perform coupled calculation of ecological function quantity and economic value.

[0014] Furthermore, The expression is as follows: (twenty three); in, for In the The value of the year, for In the The weight of the year.

[0015] Furthermore, the detailed process of step S5 is as follows: The first t The annual value of windbreak and sand-fixing ecological products from photovoltaic new energy sources is recorded as follows: Its expression is: (twenty four); in, , , The first t The economic value of the first, second, and third categories of windbreak and sand-fixing ecological products of photovoltaic new energy in 2018; The present value PV is calculated using the following expression: (25); in, r The discount rate is... n For the project lifecycle.

[0016] Beneficial effects: (1) The selection of multidimensional evaluation indicators can avoid the limitations of a single evaluation indicator and effectively improve the accuracy of the evaluation. (2) Sum the economic values ​​after classifying them to make the classification of economic values ​​clearer, ensure that there are no double calculations or omissions in the economic value calculation process, and improve the accuracy of economic value calculation. (3) Set the photovoltaic array influence area to be dynamically divided in spatial and temporal dimensions, so that the influence area is closer to the actual area and avoids the influence area being too large, which would lead to the distortion of the evaluation parameters; (4) The weighted average value of the evaluation indicators is used in the calculation of ecological function quantities, which takes into account the specific circumstances of different stages and further reduces the evaluation bias. (5) Calculate economic value based on ecological function quantity to make the calculation of economic value more standardized; (6) Discounting economic value makes it easier to directly compare economic values ​​and reduces the difficulty of assessment. Attached Figure Description

[0017] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a flowchart of the steps of the present invention. Detailed Implementation

[0018] Example 1 like Figure 1 The evaluation method for windbreak and sand-fixing ecological product design schemes based on photovoltaic new energy, as shown in the figure, includes the following steps: S1. Determine the accounting area and time frame for windbreak and sand-fixing ecological products; The process of determining the regional scope is as follows: the distribution of photovoltaic arrays is extracted through 10m spatial resolution remote sensing images, and combined with the regional wind and sand transport simulation model, the wind and sand transport impact area is constructed and denoted as R area, which accurately defines the actual ecological action area of ​​photovoltaic facilities and breaks through the limitations of traditional static administrative division boundaries; The inputs to the regional wind and sand transport simulation model are the annual average prevailing wind direction, annual sand transport potential level, actual area occupied by the photovoltaic zone, and the ratio of module spacing to panel height; the output is the range of the affected area. Calculate the wind protection distance of the photovoltaic array based on the input. The expression is as follows: (1); in, For wind protection impact coefficient, The actual footprint of the photovoltaic array refers to the total area occupied by the photovoltaic array device plus the uncovered area between the arrays. The wind resistance impact factor is determined by the annual sand transport potential (DP) and the ratio of module spacing to panel height. The decision and corresponding relationships are as follows: when hour, Take 15; when hour, Take 12; when hour, Take 10; when hour, Take 25; when hour, Take 20; when hour, Take 18; when hour, Take 35; when hour, Take 30; when hour, Take 25; Starting from the boundary of the photovoltaic zone, extending downwind along the average annual prevailing wind direction. Distance, extending upwind and crosswind direction The distance is used to determine the extent of the affected area; Based on chronological order, the time frame can be divided into the construction period, the operation period, and the decommissioning period.

[0019] S2. After determining the evaluation indicators, collect photovoltaic operation and maintenance parameters and wind and sand monitoring data. The evaluation indicators include: the reduction in wind and sand activity intensity, the area of ​​photovoltaic sand fixation, the reduction in soil wind erosion, the reduction in sandstorm frequency, the increase in vegetation coverage under the panels, and the increase in soil carbon sequestration. The reduction in wind and sand activity intensity is used to reflect the effect of photovoltaic new energy on the suppression of wind and sand dynamics. Photovoltaic panel arrays effectively weaken wind and sand activity by blocking and reducing near-ground wind speed. The area of ​​photovoltaic sand fixation represents the spatial range of sand fixation, and the size of the sand fixation area can also indicate the intensity of the treatment. The reduction value of soil wind erosion is used to accurately quantify the effect of photovoltaic new energy on curbing soil loss; The reduction in the frequency of sandstorms reflects the mitigation effect of photovoltaic new energy on regional ecological disasters; sandstorms are an extreme manifestation of wind and sand activity, which has a significant impact on regional production and life; by using the reduction in the intensity of wind and sand activity as an input parameter for indirect correlation calculation, the social benefits of photovoltaic sand fixation can be directly reflected, enhancing the practical significance and policy relevance of the calculation results. The increase in vegetation coverage under the photovoltaic panels reflects the promoting effect of the improved microenvironment under the photovoltaic panels on vegetation growth; The increase in soil carbon sequestration is used to quantify the contribution of photovoltaic desertification control to soil organic matter and carbon sinks. By linking vegetation cover and soil nutrient data with photovoltaic operation and maintenance parameters, it reflects the long-term ecological restoration value.

[0020] S3. Process the evaluation indicators; the ecological function quantity can systematically quantify the physical effects of windbreak and sand fixation produced by photovoltaic new energy. Any evaluation indicator The expression is: (2); in, For the first One evaluation indicator, D , H , R , V These are the photovoltaic panel spacing, panel height, pile foundation depth, and vegetation coverage beneath the panels. U , O , C , B These are wind speed at which sand is lifted, sand transport rate, dust concentration, and frequency of sandstorms. t It is a time variable; Processing operations for evaluation indicators: Regarding the decrease in the intensity of sandstorm activity Its mathematical expression is given as follows: (3); in, , These are the wind and sand activity intensity indices before and after the treatment. According to U , O , C Specifically, the results are as follows: (4); in, , , They are U , O , B The corresponding intensity weight, , The wind speeds for sandstorms are shown before and after the treatment. , These represent the sediment transport rates before and after treatment, respectively. , The dust concentrations before and after the treatment are shown respectively. Dust Concentration B The concentration of particulate matter during sandstorm weather can be obtained by recording particulate matter concentration using a PM10 monitor. Because the photovoltaic operation and maintenance parameters of photovoltaic panels will affect U , O This has an impact, therefore the wind speed attenuation coefficient related to photovoltaic operation and maintenance parameters needs to be used to determine the sand-raising wind speed. U Sediment transport rate O Make corrections; The expression for the wind speed attenuation coefficient is defined as follows: (5); in, This is the wind speed attenuation coefficient; but U The corrected expression is: (6); in, The corrected wind speed for sandstorms; O The corrected expression is: (7); in, This is the corrected sediment transport rate; For photovoltaic sand fixation area Combined with the vegetation coverage under the board V Adjusting the accuracy coefficient Determine the area for sand fixation using photovoltaic new energy: (8); in, The area covered by the photovoltaic panel array; For the reduction value of soil wind erosion Its mathematical expression is given as follows: (9); in, , These represent soil wind erosion before and after treatment, respectively. Soil wind erosion is represented using an internationally accepted wind erosion assessment model: (10); in, G This refers to soil wind erosion. Q Driven by wind erosion K Soil erodibility, L For slope length factor, S For slope factor, P Factors related to soil and water conservation measures; The soil and water conservation measures factors were modified as follows: (11); in, The revised soil and water conservation measures factor; Regarding the reduction in the frequency of sandstorms Based on the definition, its mathematical expression is given as follows: (12); in, , The frequencies of sandstorms before and after the treatment are shown respectively. Regarding the increase in vegetation coverage under the board Based on the definition, its mathematical expression is given as follows: (13); in, , The vegetation coverage is shown before and after the treatment, respectively. For the increase in soil carbon sequestration Based on the definition, its mathematical expression is given as follows: (14); in, , These represent the soil carbon sequestration before and after treatment, respectively. It is related to the carbon sequestration growth coefficient, and the specific expression is as follows: (15).

[0021] S4. Couple and quantify ecological function quantity and economic value. Economic value is based on the accounting of ecological function quantity. Through value transformation method, ecological function is converted into economic value. Economic value can be divided into: sand fixation economic value, disaster economic value, and land use economic value, which are respectively denoted as Category 1, Category 2, and Category 3 economic value. The process of coupled quantization is as follows: S401, for any evaluation indicator The average value of the evaluation index is calculated based on the weight of different stages of its life cycle. ; The expression is as follows: (16); in, for In the The value of the year, for In the Weighting of the year; S402. Calculate the expression for the ecological function quantity corresponding to the economic value of the evaluation index; The economic value of sand fixation is only related to the area of ​​photovoltaic sand fixation, and the ecological function of the area of ​​photovoltaic sand fixation corresponds to the economic value of sand fixation. The expression is: (17); in, The annual cost per unit area for traditional sand fixation projects, This represents the average area for windbreak and sand fixation. The economic value of a disaster is related to two assessment indicators: the reduction in soil wind erosion and the reduction in the frequency of dust storms. The reduction in soil wind erosion corresponds to the ecological function quantity of the economic value of the disaster. The expression is: (18); in, This represents the average reduction in soil wind erosion. The agricultural loss cost per unit of soil erosion, in this embodiment, refers to the amount of soil erosion per ton. The unit is yuan / t; The reduction in the frequency of dust storms corresponds to a reduction in the value of ecological function in terms of damage loss. The expression is: (19); in, This represents the average reduction in the frequency of sandstorms. The average economic loss from a single sandstorm; The economic value of land use is related to three assessment indicators: the area of ​​photovoltaic sand fixation, the increase in vegetation cover under the panels, and the increase in soil carbon sequestration. The ecological function of the land use economic value corresponds to the area of ​​photovoltaic sand fixation. The expression is: (20); in, This represents the average increase in economic output per unit area of ​​land. The increase in vegetation cover under the slab corresponds to the ecological function quantity of land use economic value. The expression is: (twenty one); in, This represents the average increase in vegetation cover under the slab. The economic value of the increase in vegetation coverage per unit area under the board; The increase in soil carbon sequestration value and the ecological function of land use economic value. The expression is: (twenty two); in, This represents an average increase in soil carbon sequestration. The economic value per unit of carbon sequestration; S403. Couple the calculation of ecological function quantity and economic value, the expression is: (twenty three); in, For the first j Class of economic value, , The first j The first in the category of economic value i Contribution coefficient and regulation coefficient of ecological function quantity For the first j The first in class economic value i Ecological function quantity.

[0022] S5. Convert the full life cycle value of windbreak and sand-fixing ecological products into present value. The detailed process is as follows: Convert the full life cycle value of photovoltaic new energy windbreak and sand-fixing ecological products into present value to facilitate comparison and decision-making. Let the value of the windbreak and sand-fixing ecological products of photovoltaic new energy in year t be denoted as . Its expression is: (twenty four); in, , , These represent the economic values ​​of the first, second, and third categories of windbreak and sand-fixing ecological products from photovoltaic new energy sources in year t, respectively. The present value PV is calculated using the following expression: (25); in, r The discount rate is... n This represents the project lifecycle.

[0023] The above embodiments are merely preferred technical solutions of the present invention and should not be considered as limitations on the present invention. The scope of protection of the present invention should be limited to the technical solutions described in the claims, including equivalent substitutions of the technical features described in the claims. That is, equivalent substitutions and improvements within this scope are also within the scope of protection of the present invention.

Claims

1. A method for evaluating the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy, characterized in that, Includes the following steps: S1. Determine the accounting area and time frame for windbreak and sand-fixing ecological products; S2. After determining the evaluation indicators, collect photovoltaic operation and maintenance parameters and wind and sand monitoring data; S3. Process the evaluation indicators; S4. Perform coupled quantitative operations on ecological function quantities and economic value; S5. Perform the discounted value calculation of the entire life cycle of windbreak and sand-fixing ecological products.

2. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 1, characterized in that, The process of determining the regional scope is as follows: extract the distribution of photovoltaic arrays, combine it with the regional wind and sand transport simulation model, and construct the wind and sand transport influence area, denoted as region R; Based on chronological order, the time frame can be divided into the construction period, the operation period, and the decommissioning period.

3. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 2, characterized in that, The inputs to the regional wind and sand transport simulation model are the annual average prevailing wind direction, annual sand transport potential level, actual area occupied by the photovoltaic area, and the ratio of module spacing to panel height. The output is the range of the affected area; Calculate the wind protection distance of the photovoltaic array based on the input. The expression is as follows: （1）； in, For wind protection impact coefficient, This refers to the actual floor space occupied by the photovoltaic array; The wind resistance impact factor is determined by the annual sand transport potential (DP) and the ratio of module spacing to panel height. The decision and corresponding relationships are as follows: when hour, Take 15; when hour, Take 12; when hour, Take 10; when hour, Take 25; when hour, Take 20; when hour, Take 18; when hour, Take 35; when hour, Take 30; when hour, Take 25; Starting from the boundary of the photovoltaic zone, extending downwind along the average annual prevailing wind direction. Distance, extending upwind and crosswind direction The distance is used to determine the extent of the affected area.

4. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 1, characterized in that, The evaluation indicators include: the reduction in wind and sand activity intensity, the area of ​​photovoltaic sand fixation, the reduction in soil wind erosion, the reduction in sandstorm frequency, the increase in vegetation coverage under the photovoltaic panels, and the increase in soil carbon sequestration.

5. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 4, characterized in that, The detailed process for processing the evaluation indicators is as follows: The evaluation indicators will be uniformly denoted as Then its expression is as follows: （2）； in, For the first One evaluation indicator, D , H , R , V These are the photovoltaic panel spacing, panel height, pile foundation depth, and vegetation coverage beneath the panels. U , O , C , B These are wind speed at which sand is lifted, sand transport rate, dust concentration, and frequency of sandstorms. t It is a time variable; Regarding the decrease in the intensity of sandstorm activity Its mathematical expression is given as follows: （3）； in, , These are the wind and sand activity intensity indices before and after the treatment. According to U , O , C Specifically, the results are as follows: （4）； in, , , They are U , O , B The corresponding intensity weight, , The wind speeds for sandstorms are shown before and after the treatment. , These represent the sediment transport rates before and after treatment, respectively. , The dust concentrations before and after the treatment are shown respectively. Regarding the wind speed of sand blowing U Sediment transport rate O Make corrections; The expression for the wind speed attenuation coefficient is defined as follows: （5）； in, This is the wind speed attenuation coefficient; but U The corrected expression is: （6）； in, The corrected wind speed for sandstorms; O The corrected expression is: （7）； in, This is the corrected sediment transport rate; For photovoltaic sand fixation area Combined with the vegetation coverage under the board V Adjusting the accuracy coefficient Determine the area for sand fixation using photovoltaic new energy: （8）； in, The area covered by the photovoltaic panel array; For the reduction value of soil wind erosion Its mathematical expression is given as follows: （9）； in, , These represent soil wind erosion before and after treatment, respectively. Soil wind erosion is represented using an internationally accepted wind erosion assessment model: （10）； in, G This refers to soil wind erosion. Q Driven by wind erosion K Soil erodibility, L For slope length factor, S For slope factor, P Factors related to soil and water conservation measures; The soil and water conservation measures factors were modified as follows: （11）； in, The revised soil and water conservation measures factor; Regarding the reduction in the frequency of sandstorms Based on the definition, its mathematical expression is given as follows: （12）； in, , The frequencies of sandstorms before and after the treatment are shown respectively. Regarding the increase in vegetation coverage under the board Based on the definition, its mathematical expression is given as follows: （13）； in, , The vegetation coverage is shown before and after the treatment, respectively. For the increase in soil carbon sequestration Based on the definition, its mathematical expression is given as follows: （14）； in, , These represent the soil carbon sequestration before and after treatment, respectively. It is related to the carbon sequestration growth coefficient, and the specific expression is as follows: （15）。 6. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 5, characterized in that, Economic value can be divided into three categories: sand fixation economic value, disaster economic value, and land use economic value, which are respectively denoted as Category 1, Category 2, and Category 3 economic value.

7. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 6, characterized in that, The quantitative expression for the coupling of ecological function and economic value is as follows: （16）； in, for For the first j Class of economic value, , The first i Ecological function quantity on the first j Contribution coefficient and adjustment coefficient of economic value.

8. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 7, characterized in that, The process of coupled quantization is as follows: S401, for any evaluation indicator The average value of the evaluation index is calculated based on the weight of different stages of its life cycle. ; S402. Calculate the expression for the ecological function quantity corresponding to the economic value of the evaluation index; The economic value of sand fixation is only related to the area of ​​photovoltaic sand fixation, and the ecological function of the area of ​​photovoltaic sand fixation corresponds to the economic value of sand fixation. The expression is: （17）； in, The annual cost per unit area for traditional sand fixation projects, This represents the average area for windbreak and sand fixation. The economic value of a disaster is related to two assessment indicators: the reduction in soil wind erosion and the reduction in the frequency of dust storms. The reduction in soil wind erosion corresponds to the ecological function quantity of the economic value of the disaster. The expression is: （18）； in, This represents the average reduction in soil wind erosion. The agricultural loss cost per unit of soil erosion, in this embodiment, refers to the amount of soil erosion per ton. The unit is yuan / t; The reduction in the frequency of dust storms corresponds to a reduction in the value of ecological function in terms of damage loss. The expression is: （19）； in, This represents the average reduction in the frequency of sandstorms. The average economic loss from a single sandstorm; The economic value of land use is related to three assessment indicators: the area of ​​photovoltaic sand fixation, the increase in vegetation cover under the panels, and the increase in soil carbon sequestration. The ecological function of the land use economic value corresponds to the area of ​​photovoltaic sand fixation. The expression is: （20）； in, This represents the average increase in economic output per unit area of ​​land. The increase in vegetation cover under the slab corresponds to the ecological function quantity of land use economic value. The expression is: （21）； in, This represents the average increase in vegetation cover under the slab. The economic value of the increase in vegetation coverage per unit area under the board; The increase in soil carbon sequestration value and the ecological function of land use economic value. The expression is: （22）； in, This represents an average increase in soil carbon sequestration. The economic value per unit of carbon sequestration; S403. Use formula (16) to perform coupled calculation of ecological function quantity and economic value.

9. The evaluation method for the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 8, characterized in that, The expression is as follows: （23）； in, for In the The value of the year, for In the The weight of the year.

10. The method for evaluating the design scheme of windbreak and sand-fixing ecological products based on photovoltaic new energy as described in claim 8, characterized in that, The detailed process of step S5 is as follows: The first t The annual value of windbreak and sand-fixing ecological products from photovoltaic new energy sources is recorded as follows: Its expression is: （24）； in, , , The first t The economic value of the first, second, and third categories of windbreak and sand-fixing ecological products of photovoltaic new energy in 2018; The present value PV is calculated using the following expression: （25）； in, r The discount rate is... n For the project lifecycle.

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