A method for verifying the accelerating effect of a vegetation restoration formula for power transmission and transformation projects

Abstract

The application provides a kind of power transmission and transformation engineering vegetation recovery formula accelerated effect verification test method, comprising: collecting surface soil in power transmission and transformation engineering construction disturbance area, after treatment, as homogenization test soil;Mix the formula to be verified with homogenization test soil to prepare test sample, at the same time, set up the control sample using the original state control soil;Test sample is implemented by multi-factor synergistic accelerated culture, at the same time, the control sample is placed in natural conditions to run synchronously;Through synchronously obtaining the vegetation growth data of two groups of samples, a time compression mapping model is established to determine the acceleration rate;According to the acceleration rate, the target termination date is determined, and the endpoint evaluation is carried out after running to the target termination date;According to the endpoint evaluation result, it is judged whether the formula passes the verification or not.The application can complete the formula verification within 30 to 45 days, has high prediction accuracy, and can be used for rapid screening of power transmission and transformation engineering vegetation recovery formula.

Description

Technical Field

[0001] This invention relates to the field of ecological restoration technology, and in particular to a test method for verifying the accelerated effect of a vegetation restoration formula for power transmission and transformation projects. Background Technology

[0002] During the construction of power transmission and transformation projects, tower foundation excavation, construction access road excavation, and temporary material stockpiling all cause large-scale disturbance to surface vegetation and soil. Statistics show that the construction disturbance area of ​​each 500kV power transmission and transformation project can reach tens of thousands of square meters. If the resulting vegetation damage and soil structure destruction are not repaired in a timely manner, it will lead to a series of ecological and environmental problems such as soil erosion, biodiversity loss, and landscape fragmentation. According to the requirements for soil and water conservation acceptance of power transmission and transformation projects, the construction disturbance area generally needs to complete vegetation restoration within three months to achieve the prescribed vegetation coverage rate and pass the acceptance inspection. The reliability of the vegetation restoration formula directly affects whether the project can pass the soil and water conservation acceptance inspection on schedule. Therefore, accurate and efficient verification and screening of the restoration effects of the proposed eco-bag, carbon sequestration bag, or vegetation bag formulas before restoration is a key step in ensuring the green construction of power transmission and transformation projects.

[0003] The most reliable way to validate vegetation restoration formulas is through over 90 days of actual observation under natural conditions. However, this validation process is too lengthy and cannot meet the needs of rapid construction and pre-construction formula screening in power transmission and transformation projects. Therefore, some studies have attempted to shorten the validation period by accelerating plant growth through environmental control measures. For example, some studies have simulated plant growth environments in artificial climate chambers by controlling light intensity and temperature to shorten the plant cultivation cycle. Other studies have designed alternating wet and dry water management schemes to explore the effects of water stress on plant growth and soil nutrient release, finding that suitable wet and dry cycles can promote organic matter mineralization and soil aggregate formation. Still other studies have... Enrichment techniques have been used to enhance the photosynthetic rate of plants, confirming that... Increased concentration promotes plant biomass accumulation. However, the above studies were all exploratory experiments conducted under conditions of a single accelerating factor, including temperature, light, and water. Concentration and other factors were investigated independently, and there is a lack of reports on the systematic synergistic design of multiple accelerators for formulation validation. In addition, the acceleration effect of a single accelerator is limited, making it difficult to compress the validation cycle of more than 90 days to an engineering-acceptable 30 to 45 days.

[0004] In existing research, Chinese patent CN202411670641.8 discloses a method for evaluating the restorability of vegetation in engineering disturbance areas, which selects multiple key environmental indicators and combines them with... Spatial analysis technology enables a comprehensive assessment of vegetation restoreability. Chinese patent CN202111007106.0 discloses an experimental system and method for plant growth research, analyzing plant growth at various stages through wind speed control and image acquisition. Chinese patent CN202211724473.7 discloses a vegetation substrate and its application in ecological restoration of steep slopes, which can directly cover the slope surface, effectively preventing erosion and washout by rainwater or running water, and improving the overall stability of the vegetation layer and the vegetation substrate. Chinese patent CN201811431083.4 discloses a vegetation restoration monitoring method based on satellite remote sensing images. This method extracts features from satellite remote sensing images and monitors vegetation growth changes in chronological order, facilitating later maintenance and management of the vegetation restoration system by combining satellite remote sensing monitoring. None of the above patents address accelerated simulation verification of vegetation restoration formulas, nor do they propose technical solutions to shorten the verification cycle through multi-factor synergistic acceleration. Furthermore, there is currently no quantitative conversion method between the verification effect under accelerated conditions and the natural recovery effect in the existing technology, making it difficult to directly use the results of accelerated tests to guide engineering decisions.

[0005] In summary, existing technologies still have at least the following shortcomings in the accelerated simulation verification of vegetation restoration formulas for power transmission and transformation projects: (1) There is a lack of verification methods for multi-factor synergistic acceleration. Existing studies are mostly independent experiments with a single accelerating factor, without incorporating temperature, light, water stress-compensation cycle, substrate microenvironment maturation, etc. (1) Multiple accelerating factors such as concentration enrichment are systematically and synergistically designed. The acceleration effect of a single accelerating factor is limited, making it difficult to compress the verification cycle of more than 90 days to 30 to 45 days; (2) There is a lack of time compression quantitative mapping model, which makes it impossible to establish a quantitative mapping relationship between the number of days of accelerated test and the number of days of natural recovery. The results of accelerated test cannot accurately extrapolate the long-term recovery effect under natural conditions, resulting in insufficient reference value for engineering decision-making of accelerated test; (3) The soil used in the test is disconnected from the actual engineering. Existing methods mostly use artificially prepared matrix or standard soil for testing. There are differences between the original soil in the construction disturbance area and the soil in terms of microbial community structure, soil aggregate composition, nutrient form and content. The test results are difficult to truly reflect the recovery effect of the formula in the actual engineering environment; (4) There is a lack of unified accelerated verification evaluation standards. There is no multi-dimensional comprehensive evaluation system covering vegetation restoration effect, soil improvement effect and cost-effectiveness. The evaluation results between different formulas and different batches of tests lack comparability. (5) Due to the limitations of the natural growing season, if the suitable sowing season is missed, the test cycle will be forced to be extended or wait until the same period of the following year, which cannot meet the engineering needs of power transmission and transformation projects that require year-round construction and need to verify the formula at any time.

[0006] Therefore, there is an urgent need in this field for an accelerated effect verification test method that can significantly shorten the verification cycle of vegetation restoration formula, establish a quantitative mapping relationship between accelerated and natural restoration, use the original soil of the construction disturbance area to ensure that the test results are close to the actual engineering situation and can be implemented throughout the year. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides an accelerated effect verification test method for vegetation restoration formulas in power transmission and transformation projects. By collecting surface soil from the construction disturbance area of ​​the power transmission and transformation project as the test matrix and setting up a control sample using undisturbed soil from the construction disturbance area, the test sample is subjected to multi-factor synergistic accelerated cultivation. A time compression mapping model is established through the synchronously running control sample, compressing the traditional verification cycle of more than 90 days to 30 to 45 days. This provides a reliable test method for the pre-formula verification of rapid restoration of power transmission and transformation projects within 3 months.

[0008] To achieve the above objectives, the first aspect of the present invention provides a method for verifying the accelerated effect of a vegetation restoration formula for power transmission and transformation projects, the method comprising the following steps: Step S1: Collect the topsoil from the construction disturbance area of ​​the power transmission and transformation project, and after mixing, removing impurities, and sieving, use it as the homogenization test soil. Step S2: Mix the vegetation restoration formula to be verified with the homogenized test soil, put it into a standardized test container and sow it as a test sample; at the same time, collect undisturbed soil from the construction disturbance area of ​​the same power transmission and transformation project, put it into a standardized test container as a control sample. Step S3: Place the test samples in an artificial climate incubator or intelligent greenhouse for multi-factor synergistic accelerated cultivation, while simultaneously placing the control samples under natural or standard greenhouse conditions; by synchronously acquiring vegetation growth data of the test samples and the control samples, establish a time compression mapping model to determine the acceleration ratio. ; Step S4: Determine the target termination day of the accelerated test based on the acceleration ratio, run the accelerated test until the target termination day, and perform endpoint evaluation; Step S5: Determine whether the formulation passes the acceleration effect verification based on the results of the endpoint evaluation; Step S6: Compare the accelerated test prediction values ​​of the formula that has completed accelerated verification with the actual observed values ​​under natural conditions, calculate the prediction accuracy, and when the prediction accuracy is lower than the preset threshold, adjust the setting value of the multi-factor synergistic accelerated culture and refit the time compression mapping model.

[0009] Furthermore, the surface soil sampling and soil pretreatment process in step S1 includes: Within the construction disturbance area of ​​the power transmission and transformation project, set up no fewer than 5 sampling points using a quincunx or serpentine sampling method to collect soil samples from the top 0-20cm layer. Mix the collected soil samples thoroughly, remove gravel, plant roots, and other debris larger than 5mm, and sieve them through a 2mm sieve. Take a portion of the mixed soil sample for physicochemical property testing, including pH value, organic matter content, available nitrogen content, available phosphorus content, available potassium content, clay content, and field water holding capacity. Distribute the treated soil samples for use.

[0010] Furthermore, the control sample in step S2 is set up as follows: collect the original soil from the construction disturbance area of ​​the target power transmission and transformation project, remove only gravel and weed roots, do not mix or sieve, and fill it into a standardized test container in the same way and with the same seeding amount as the test sample. Place it in a natural environment or a standard greenhouse for natural growth without applying any accelerating factors.

[0011] Furthermore, in step S2, at least three parallel samples are prepared for each vegetation restoration formula; the standardized test container has dimensions of 30cm in length, 25cm in width, and 20cm in height, with a drainage hole at the bottom, a filling thickness of 15 to 18cm, and a bulk density of 1.0 to 1.3. .

[0012] Furthermore, the multi-factor synergistic accelerated culture described in step S3 includes temperature and light synergistic acceleration, water stress-compensation cycle acceleration, accelerated maturation of the substrate microenvironment, and... At least two of the concentration enrichment acceleration methods; The temperature-light synergistic acceleration includes: daytime temperature of 28 to 32°C, nighttime temperature of 20 to 24°C, and a daily temperature difference of 6 to 10°C; a light cycle of 14 to 16 hours of light and 8 to 10 hours of darkness, and a light intensity of 8,000 to 12,000 lux. The accelerated water stress-compensation cycle includes: each cycle lasting 5 to 7 days, with a continuous drought period of 3 to 4 days, during which the substrate moisture content drops to 30% to 40% of field capacity, followed by a 1 to 2 day rehydration period, during which the substrate moisture content recovers to 80% to 90% of field capacity; The accelerated maturation of the substrate microenvironment includes: placing the filled substrate in an environment of 35 to 38°C for 7 to 10 days before the experiment, and maintaining the substrate moisture content at 60% to 70% of field capacity during this period; The Accelerated concentration enrichment includes: [the following is unclear and likely contains errors: "concentration enrichment acceleration"] in the culture environment. The concentration was increased to 600 μL / L to 800 μL / L.

[0013] Furthermore, the time compression mapping model is established and the acceleration factor is determined. The method is as follows: The vegetation growth data of the test sample measured at each acceleration time point is compared with the vegetation growth data of the control sample measured under natural conditions. Time points with the same or similar vegetation growth data are selected, and data pairs are constructed using the corresponding acceleration days and natural days. The time compression mapping model is obtained through regression analysis, and the acceleration ratio is... It is equal to the ratio of natural days to accelerated days in the time compression mapping model.

[0014] Furthermore, the vegetation growth data and matrix physicochemical data of the test samples were collected on days 7, 14, 21, 28, 35, 42 and 49 of the accelerated test; the vegetation growth data of the control samples were collected on days 10, 20, 30, 40, 50, 60, 70, 80 and 90 of the control sample run.

[0015] Furthermore, the vegetation growth data includes seedling emergence rate, vegetation cover, plant height, aboveground biomass, and root development indicators, including maximum root length, root surface area, and root volume; the substrate physicochemical data includes pH value, organic matter content, available nitrogen content, available phosphorus content, available potassium content, and water content.

[0016] Furthermore, the endpoint evaluation includes: Calculate 90-day equivalent vegetation cover The Equal to the vegetation cover of the test sample at the target termination number of days; Calculate the vegetation restoration effect index, the vegetation restoration effect index based on With target vegetation cover The ratio is determined; the target vegetation cover The target vegetation cover value for 90 days is set in advance according to the soil and water conservation acceptance standards for power transmission and transformation projects. The soil improvement effect index is calculated, which is determined based on the difference between the matrix physicochemical data at the test endpoint and the background physicochemical data before the test. Computational acceleration verification score The Based on vegetation restoration effect index, soil improvement effect index and formula cost Confirmed, the expression is: In the formula, VRI represents the vegetation restoration effect index, SRI represents the soil improvement effect index, and C is the formula cost. To the maximum permissible cost, , , All are weighting coefficients, and ; when and At that time, it was determined that the formula passed the acceleration effect verification, wherein This is a preset threshold.

[0017] The second aspect of this invention provides a test system for verifying the accelerated effect of vegetation restoration formulas in power transmission and transformation projects, comprising: The soil collection and processing unit is used to collect surface soil from the construction disturbance area and perform mixing, sieving, and background testing. The sample preparation unit is used to mix the formulation to be validated with the treated soil and put it into a standardized test container to prepare test samples, as well as to prepare control samples using undisturbed control soil. An environmental control unit is used to perform multi-factor synergistic accelerated culture of the test samples. The environmental control unit includes a temperature control subunit, a light control subunit, a moisture control subunit, and... Concentration control subunit; The data acquisition unit is used to collect vegetation growth data and matrix physicochemical data of the test samples at each stage of the accelerated test, as well as the corresponding data of the control samples. The data processing unit is used to establish a time compression mapping model, calculate the acceleration ratio, determine the target termination day, and calculate the comprehensive accelerated verification score based on the data of the test sample and the control sample. The determination output unit is used to determine whether the formulation has passed the validation based on the comprehensive accelerated validation score and to output a validation report.

[0018] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention accelerates maturation through temperature and light synergy, moisture stress-compensation cycle, and matrix microenvironment. The synergistic acceleration of multiple factors, such as concentration enrichment, compresses the traditional 90-day vegetation restoration effect verification cycle to 30 to 45 days, which can meet the pre-formulation verification requirements for rapid restoration of power transmission and transformation projects within 3 months.

[0019] (2) The present invention uses the surface soil of the construction disturbance area after homogenization treatment as the test matrix, and sets up the original control soil of the same source as the natural recovery benchmark, so that the accelerated test results have good consistency with the actual engineering environment.

[0020] (3) This invention establishes a quantitative mapping relationship between the number of accelerated days and the number of natural days through synchronously running control samples and regression analysis, so that the results of accelerated tests can be used to extrapolate the 90-day recovery effect under natural conditions.

[0021] (4) The present invention can overcome the limitations of the natural growing season by controlling the environment of artificial climate incubator or intelligent greenhouse, and formula verification tests can be carried out at any time of the year.

[0022] (5) This invention constructs a multi-dimensional evaluation system covering vegetation restoration effect index, soil improvement effect index and comprehensive accelerated verification score, providing a unified judgment standard for formula accelerated verification.

[0023] (6) The present invention enables the accelerated testing method to have self-calibration and continuous improvement capabilities through the calibration steps of prediction accuracy calculation and model refitting. Attached Figure Description

[0024] Figure 1 A flowchart of the overall process for verifying the accelerated effect of vegetation restoration formula in power transmission and transformation projects.

[0025] Figure 2 A schematic diagram of environmental control parameters for multi-factor synergistic accelerated culture. Detailed Implementation

[0026] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in 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 this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0027] Reference Figure 1 , Figure 1 This is an overall flowchart of the experimental method for verifying the accelerated effect of vegetation restoration formula in power transmission and transformation projects provided in this embodiment of the invention. Through steps such as collecting surface soil from the construction disturbance area as a homogenized experimental substrate, setting up accelerated test samples and control samples, implementing multi-factor synergistic accelerated cultivation, establishing a time compression mapping model to calculate the acceleration ratio, running the accelerated test, and endpoint evaluation and judgment, the method achieves efficient verification of the accelerated effect of the vegetation restoration formula. Step S1: Collect the topsoil from the construction disturbance area of ​​the power transmission and transformation project, and after mixing, removing impurities, and sieving, use it as the homogenization test soil. Step S2: Mix the vegetation restoration formula to be verified with the homogenized test soil, put it into a standardized test container and sow it as a test sample; at the same time, collect undisturbed soil from the construction disturbance area of ​​the same power transmission and transformation project, put it into a standardized test container as a control sample. Step S3: Place the test samples in an artificial climate incubator or intelligent greenhouse for multi-factor synergistic accelerated cultivation, while simultaneously placing the control samples under natural or standard greenhouse conditions; by synchronously acquiring vegetation growth data of the test samples and the control samples, establish a time compression mapping model to determine the acceleration ratio. ; Step S4: Determine the target termination day of the accelerated test based on the acceleration ratio, run the accelerated test until the target termination day, and perform endpoint evaluation; Step S5: Determine whether the formulation passes the acceleration effect verification based on the results of the endpoint evaluation; Step S6: Compare the accelerated test prediction values ​​of the formula that has completed accelerated verification with the actual observed values ​​under natural conditions, calculate the prediction accuracy, and when the prediction accuracy is lower than the preset threshold, adjust the setting value of the multi-factor synergistic accelerated culture and refit the time compression mapping model.

[0028] In one specific embodiment of the present invention, the surface soil collection and soil pretreatment process in step S1 includes the following steps: Within the disturbance area of ​​power transmission and transformation project construction, no fewer than 5 sampling points shall be set up according to the quincunx or serpentine sampling method to collect soil samples from the top 0-20cm layer. In the specific implementation process, the sampling points may also be arranged in a diagonal or checkerboard pattern, and the number of sampling points may be appropriately increased according to the area of ​​the disturbance area. Multiple soil samples were mixed evenly, and gravel, plant roots and other debris larger than 5 mm were removed. The samples were then sieved through a 2 mm sieve to obtain homogenized test soil. If the sieved soil could not be used immediately, it could be stored at 4℃ for a short period of time, but the storage time should not exceed 7 days to avoid changes in the soil microbial community structure and nutrient form. A portion of the homogenized test soil samples were taken for physicochemical property testing. The test items included, but were not limited to, pH value, organic matter content, available nitrogen content, available phosphorus content, available potassium content, clay content, and field water holding capacity, which served as the background data for the test matrix. The treated homogenized test soil was divided into containers according to the number of containers required for subsequent tests.

[0029] In one specific embodiment of the present invention, the specific process of setting up the accelerated test sample and the control sample in step S2 is as follows: Take the vegetation restoration formula to be verified (including eco-bag, carbon sequestration bag or vegetation bag formula), mix the raw material components according to the proportions specified in the formula, and obtain the test substrate; The homogenized test soil pretreated in step S1 was mixed evenly with the test substrate according to the specified ratio and then placed into a standardized test container. The standardized test container was 30cm long, 25cm wide, and 20cm high, with drainage holes at the bottom. The filling thickness was 15cm to 18cm, and the bulk density was controlled between 1.0 and 1.3. ; Sow the plant seeds evenly on the substrate surface according to the sowing amount specified in the formula, cover them with soil to a thickness of 1 to 3 times the diameter of the seeds, and gently press to ensure close contact between the seeds and the substrate, and use them as test samples. Control samples were prepared by collecting unspoiled topsoil from the target power transmission and transformation project construction disturbance area. Only gravel and weed roots were removed to preserve the original soil structure, aggregate composition, microbial community, and seed bank. No mixing or sieving was performed. The samples were filled into standardized test containers using the same filling method and seeding rate as the test samples and placed in natural environments or standard greenhouses for natural growth without any acceleration factors. This was to characterize the baseline effect of vegetation restoration in the target area under natural conditions.

[0030] In the specific implementation process, no fewer than three parallel samples are set for each vegetation restoration formula to ensure the statistical reliability of the test data.

[0031] In one specific embodiment of the present invention, such as Figure 2 As shown, the specific parameters of each factor in the multi-factor synergistic accelerated culture in step S3 are as follows: Synergistic acceleration of temperature and light: Experimental samples were placed in artificial climate incubators or intelligent greenhouses, with daytime temperatures set at 28–32°C and nighttime temperatures at 20–24°C, resulting in a diurnal temperature range of 6–10°C. The photoperiod was set to 14–16 hours of light and 8–10 hours of darkness, with a light intensity of 8000–12000 Lux, to accelerate plant photosynthesis and growth rate. These temperature parameters are based on the optimal growth temperature range for warm-season herbaceous plants in the southern red soil region. In practical applications, these parameters can be adjusted appropriately according to the physiological characteristics of the target plant species. Maintaining a 6–10°C temperature difference between daytime and nighttime temperatures helps simulate the promoting effect of natural diurnal temperature variations on plant growth.

[0032] Accelerated Water Stress-Compensation Cycle: A water management strategy of alternating wet and dry periods is adopted, with each cycle lasting 5 to 7 days. The continuous drought period lasts 3 to 4 days, during which the substrate moisture content drops to 30% to 40% of field capacity. This is followed by a 1 to 2 day period of full rehydration, restoring the substrate moisture content to 80% to 90% of field capacity. This cycle is repeated continuously. Drought stress stimulates the plant's osmotic regulation mechanisms and root hydrotropism, promoting root development into deeper soil layers. The rapid rehydration during the rehydration period simulates the pulsed replenishment of natural rainfall, which is beneficial for plants to quickly accumulate biomass when water is plentiful. This cycle is initiated after emergence to avoid the inhibitory effect of drought stress on seed germination.

[0033] Accelerated maturation of the substrate microenvironment: 7 to 10 days before the experiment, the filled substrate was placed in a high-temperature environment of 35 to 38°C for pre-cultivation, during which the substrate moisture content was maintained at 60% to 70% of field capacity. High-temperature pre-cultivation can accelerate the initial decomposition of organic matter in the substrate, promote the activation of microbial communities and the formation of soil aggregates, so that the substrate is in a "pre-activated" state at the time of sowing, which is conducive to the rapid growth of roots and the establishment of rhizosphere microecology after seed germination.

[0034] Accelerated concentration enrichment: [This refers to the process of increasing concentration in the culture environment.] The concentration was increased to 600 μL / L to 800 μL / L (approximately atmospheric concentration). (1.5 to 2 times the concentration). Increased concentration can enhance the photosynthetic rate of plants and promote the synthesis and accumulation of carbohydrates.

[0035] Of the four acceleration factors mentioned above, at least two should be selected for synergistic effects. A positive feedback loop should be formed between the factors: temperature and light synergistically provide suitable energy and signal input. Enrichment increases the supply of photosynthetic substrates, the water stress-compensation cycle regulates carbon allocation within the plant and promotes root growth, and substrate microenvironment maturation improves nutrient conversion efficiency in the rhizosphere. These four factors work together to significantly shorten the validation cycle. Accelerated substrate microenvironment maturation is initiated before sowing, facilitating rapid adaptation of plant roots to the activated rhizosphere environment after sowing; the water stress-compensation cycle is initiated after emergence, avoiding inhibition of seed germination; and temperature-light synergy... Enrichment occurs synchronously, working together on the photosynthetic chain to improve carbon assimilation efficiency.

[0036] In one specific embodiment of the present invention, step S3 involves establishing a time compression mapping model and determining the acceleration factor. The method is as follows: Simultaneously with the start of the accelerated trial, control samples (under natural or standard greenhouse conditions) were run. Specifically, vegetation growth data and substrate physicochemical data of the experimental samples were collected on days 7, 14, 21, 28, 35, 42, and 49 of the accelerated trial. Vegetation growth data of the control samples were collected on days 10, 20, 30, 40, 50, 60, 70, 80, and 90 of the control trial. In a specific embodiment, vegetation growth data included emergence rate, vegetation cover, plant height, aboveground biomass, and root development indicators. Substrate physicochemical data included pH value, organic matter content, available nitrogen content, available phosphorus content, available potassium content, and water content. The method for collecting vegetation growth data is as follows: ①Emergence rate: The percentage of seedlings that have emerged in each experimental container out of the total number of seeds sown; ②Vegetation cover: Vegetation cover is determined using the grid method or image analysis method; ③ Plant height: Randomly measure the natural height of no less than 10 plants and take the average value; ④ Aboveground biomass: Cut the aboveground parts at ground level, dry them at 85℃ to constant weight, and then weigh them; ⑤ Root development indicators: including maximum root length, root surface area and root volume; measured by rinsing method combined with root scanner. Specifically, the plant roots are completely removed from the substrate, slowly rinsed with clean water to remove attached soil particles, and then the root images are obtained by root scanner. The maximum root length, root surface area and root volume are calculated using root analysis software.

[0037] Vegetation growth data of the experimental samples at each accelerated time point were compared with vegetation growth data of the control samples measured under natural conditions. Time points with the same or similar vegetation growth data were selected, and data pairs were constructed using the corresponding accelerated days and natural days. A time compression mapping model was obtained through regression analysis. The expression of the time compression mapping model is as follows: (1); In the formula, This indicates the number of days the control sample grew under natural conditions; Indicates the number of days the accelerated test runs; This indicates the average temperature during the accelerated test, expressed in °C. Indicates the number of days in the water stress-compensation cycle; Indicating accelerated testing environment Enrichment concentration, expressed in ppm (μL / L); Represents the regression intercept term; express The regression coefficient of the first-order term; express The quadratic regression coefficient; Indicates average temperature The regression coefficients; Indicates the water cycle period The regression coefficients; express The regression coefficients; The error term is represented by a normal distribution with a mean of 0. After determining the parameters of the above model through regression analysis, the acceleration ratio is calculated. Acceleration multiplier It equals the ratio of natural days to accelerated days in the time compression mapping model, expressed as: That is, one day of accelerated testing is equivalent to one day under natural conditions. The recovery effect over the days.

[0038] In one specific embodiment of the present invention, step S4 involves accelerating the experiment to the target termination number of days and performing an endpoint evaluation. The specific process is as follows: (1) After determining the acceleration ratio Subsequently, the target number of days to terminate the accelerated test. According to the formula The calculation determines this. That is, when the accelerated test reaches... When the timing is right, the effect is equivalent to 90 days of recovery under natural conditions.

[0039] (2) At the end of the accelerated test, collect endpoint data, including: ① Calculate the 90-day equivalent vegetation cover : The vegetation cover equal to the test sample at the target termination date is expressed as: In the formula, This indicates the vegetation cover measured at the end of the accelerated test; ②Calculate the equivalent aboveground biomass over 90 days, the expression is: In the formula, This indicates the aboveground biomass measured at the endpoint of the accelerated test.

[0040] ③ Calculate the 90-day equivalent soil amendment index: including pH improvement. Organic matter increase ; ④ Calculate the formula cost index, the expression is: In the formula, The addition ratio (by weight) of the i-th raw material component. The unit cost (yuan / kg) of the i-th raw material component; (3) Construct a multi-dimensional comprehensive evaluation index system, including: ① Calculate the vegetation restoration effectiveness index (VRI). VRI is based on... With target vegetation cover The ratio is determined, and the target vegetation coverage is determined. This refers to the 90-day target vegetation cover value pre-set according to the soil and water conservation acceptance standards for power transmission and transformation projects. The Vegetation Recovery Index (VRI) is calculated as follows: (2); In the formula, Indicates the 90-day equivalent vegetation cover; This indicates the target vegetation cover over 90 days; Indicates 90-day equivalent aboveground biomass; This represents the target aboveground biomass over 90 days; Indicates the equivalent root depth over 90 days; Indicates the target root depth over 90 days; , , All are weighting coefficients, and satisfy the following conditions: .

[0041] ② Calculate the Soil Improvement Index (SRI). The SRI is determined based on the difference between the matrix physicochemical data at the test endpoint and the baseline physicochemical data before the test. The calculation method is as follows: (3); In the formula, This represents the difference between the soil pH value at the endpoint of the accelerated test and the baseline pH value before the test. Indicates the target pH improvement value (e.g., pH increase of 0.5 or more); This represents the difference between the soil organic matter content at the endpoint of the accelerated test and the baseline organic matter content before the test. Indicates the target increase in organic matter; and Both represent weighting coefficients, and .

[0042] ③ Calculate the Comprehensive Accelerated Validation Score (CAVS), which is determined based on the VRI, SRI, and formulation cost C, and is expressed as follows: (4); In the formula, C represents the formula cost. To the maximum permissible cost, , , All are weighting coefficients, and + + =1; The above weighting coefficients can be adjusted according to the actual needs of the project. For example, the weight of VRI can be appropriately increased in ecologically sensitive areas, and the weight of cost items can be appropriately increased in projects with limited funds.

[0043] In one specific embodiment of the present invention, step S5 determines whether the formulation passes the acceleration effect verification based on the endpoint evaluation results. The specific process is as follows: Set accelerated verification pass criteria: when and At that time, it was determined that the formula passed the acceleration effect verification and could be used for on-site construction of power transmission and transformation projects. This is a preset threshold (e.g., it can be set to 0.75). The target vegetation cover.

[0044] when or Less than If the formula fails validation, it is determined that the formula has not passed validation. In the case of failure to pass validation, formula adjustment suggestions can be output based on the data collected in each stage of step S3, pointing out the key factors restricting the recovery effect, including insufficient germination rate, nutrient deficiency, unsuitable pH, etc., to provide directional guidance for formula optimization.

[0045] In one specific embodiment of the present invention, step S6 provides the accelerated testing method with a self-evolving closed-loop capability, and the specific process for verifying and calibrating the effectiveness of the accelerated testing is as follows: After completing accelerated validation trials for at least five formulations, the accelerated trial predictions for each formulation were compared with actual observations under natural conditions over 90 days. The prediction accuracy was calculated using the following formula: (5); In the formula, This represents the 90-day equivalent vegetation cover predicted by the accelerated testing. This represents the vegetation cover observed over 90 days under natural conditions.

[0046] When the prediction accuracy falls below a preset threshold (e.g., 85%), perform the following calibration: review the settings of each acceleration factor in step S3, and adjust the temperature, light intensity, water cycle, or... Concentration; refit the time compression mapping model, update the regression coefficients and acceleration factor. Cross-validation was used to verify the accuracy of the calibrated model. Effectiveness validation was performed periodically (e.g., after every 10 formulations were validated) to ensure the accelerated testing method maintained high predictive accuracy.

[0047] In one specific embodiment of the present invention, after all data collection and evaluation are completed, the accelerated verification test can automatically generate an accelerated test report. The specific steps are as follows: Summarize all experimental data and evaluation results from steps S1 to S6, and automatically generate an accelerated validation test report. The report should include at least the following: ①Basic information: formula number, formula components and ratios, soil background data, start and end times of the experiment, and accelerated incubation conditions; ② Process data: Change curves of seedling emergence rate, vegetation cover, plant height, aboveground biomass, root index and substrate physicochemical index at each collection time point; ③Time compression mapping results: speedup factor Regression parameters and goodness of fit of the time compression mapping model ; ④ Endpoint evaluation results: 90-day equivalent vegetation cover, 90-day equivalent aboveground biomass, 90-day equivalent soil improvement index, and formula cost; ⑤ Overall Judgment Conclusion: Based on the Accelerated Validation Performance Index (CAVS), whether the validation was passed, and recommendations for formula adjustments if the validation was not passed.

[0048] This invention also provides a test system for verifying the accelerated effect of vegetation restoration formula in power transmission and transformation projects, comprising: The soil collection and processing unit is used to collect surface soil from the construction disturbance area and perform mixing, sieving, and background testing. The sample preparation unit is used to mix the formulation to be validated with the treated soil and put it into a standardized test container to prepare test samples, as well as to prepare control samples using undisturbed control soil. An environmental control unit is used to perform multi-factor synergistic accelerated culture of the test samples. The environmental control unit includes a temperature control subunit, a light control subunit, a moisture control subunit, and... Concentration control subunit; The data acquisition unit is used to collect vegetation growth data and matrix physicochemical data of the test samples at each stage of the accelerated test, as well as the corresponding data of the control samples. The data processing unit is used to establish a time compression mapping model, calculate the acceleration ratio, determine the target termination day, and calculate the comprehensive accelerated verification score based on the data of the test sample and the control sample. The determination output unit is used to determine whether the formulation has passed the validation based on the comprehensive accelerated validation score and to output a validation report.

[0049] The present invention will be further described in detail below with reference to specific embodiments.

[0050] Example 1 This embodiment takes the verification of vegetation restoration formula in the disturbance area of ​​a 500kV power transmission and transformation project tower foundation in Jiangxi as an example, and applies the method of the present invention to verify the acceleration effect.

[0051] (1) Soil collection (step S1): Five sampling points were set up in the disturbed area of ​​the tower base using a quincunx pattern. Soil samples from the top 0-20cm layer were collected, mixed thoroughly, and then gravel and roots were removed before sieving through a 2mm sieve. The baseline data obtained were: pH 4.8, organic matter 15.2g / kg, available phosphorus 2.3mg / kg, available potassium 58mg / kg, clay content 45%, and field capacity 32%.

[0052] (2) Sample preparation (step S2): Take the formula A to be verified (32% straw charcoal, 40% compost, 3% dolomite powder, 2% coated compound fertilizer, 1% starch-based water-retaining agent, 1% nitrogen-fixing bacteria agent, 21% grass seed combination), mix it with the treated soil in the proportion, and put it into a standardized test container (30cm long × 25cm wide × 20cm high plastic basin), with a filling thickness of 16cm and a bulk density of 16cm. .according to Sow a mixture of Bermuda grass, Bahia grass, and dung bean seeds (in a ratio of 5:3:2), cover with soil, and lightly press down. Set up 3 parallel samples and 3 control samples (using undisturbed soil from the same area without any added ingredients).

[0053] (3) Multi-factor synergistic accelerated culture (step S3): The test samples were placed in an artificial climate incubator, with daytime temperature of 30℃ (14 hours of light) and nighttime temperature of 22℃ (10 hours of darkness), and light intensity of 10000 Lux; water management adopted a 7-day cycle (4 days of drought + 2 days of water replenishment + 1 day of transition); 8 days of high-temperature pre-culture at 35℃ were carried out before the experiment. The concentration was enriched to 700 μL / L.

[0054] (4) Establishment of the time compression mapping model (step S3): Vegetation cover data were collected on days 0, 7, 14, 21, 28, and 35 of the accelerated experiment and on days 0, 10, 20, 30, 40, 50, 60, 70, 80, and 90 of the control samples. A time compression mapping model was established through regression analysis: Acceleration multiplier ≈2.8, meaning one day of accelerated testing is approximately 2.8 days under natural conditions. Target termination days. =90 / 2.8≈32 days.

[0055] (5) Endpoint evaluation (step S4): The accelerated test was terminated on day 32, and the 90-day equivalent vegetation cover was measured. =67.5%, equivalent aboveground biomass The accelerated test resulted in an increase in soil pH from 4.8 to 5.7 and organic matter from 15.2 g / kg to 22.0 g / kg at the endpoint. The formulation cost was... The calculated VRI = 0.92, SRI = 0.88, and CAVS = 0.89. , , , If the value is greater than the threshold of 0.75, then Formula A is deemed to have passed the acceleration effect verification.

[0056] (6) Validation of effectiveness (step S6): The formula was then applied in the actual engineering site. After 90 days, the measured vegetation coverage was 66.2%, with a relative deviation of 1.9% from the accelerated test prediction value of 67.5%, and the prediction accuracy reached 98.1%, which verified the reliability of the method of the present invention.

[0057] Example 2 This embodiment takes the verification of vegetation restoration formula in the disturbance area of ​​a 220kV power transmission and transformation project tower foundation in Fujian as an example.

[0058] The red soil in this area has extremely low available phosphorus content (1.5 mg / kg), so Formula B specifically added phosphorus-rich compound fertilizer and phosphorus-solubilizing bacteria. Baseline soil data: pH 5.1, organic matter 12.5 g / kg, available phosphorus 1.5 mg / kg, clay content 38%.

[0059] The accelerated test was conducted under the same conditions as in Example 1, and terminated on day 32. The 90-day equivalent vegetation cover was measured. =63.8%, equivalent aboveground biomass B 90 =278 The accelerated test resulted in an increase in soil pH from 5.1 to 6.2 and an increase in available phosphorus from 1.5 mg / kg to 4.8 mg / kg. The formulation cost was 13.8. The calculated CAVS value was 0.82, which is greater than the threshold of 0.75, indicating that Formula B passed the verification. The actual vegetation cover measured on-site over the following 90 days was 72.3%, with a prediction accuracy of 86.7%. Compared to Example 1, Example 2's prediction accuracy (86.7%) was lower than Example 1's (98.1%), but still higher than the preset threshold of 85%. Analysis revealed that Formula B contains a significant amount of slow-release fertilizer, and the nutrient release rate under accelerated cultivation conditions differed considerably from that under natural conditions, leading to a slightly higher prediction deviation.

[0060] Example 3 Accelerated test calibration After completing accelerated validation of 10 formulations, the effectiveness of accelerated testing was verified (step S6). The accelerated test predicted values ​​for each formulation were compared. ) and actual natural observations ( The average prediction accuracy was 91.3%, exceeding the 85% threshold, requiring no calibration. Analysis revealed that the formula with the lowest accuracy (86.7%) was due to its high content of slow-release fertilizer, resulting in a significant difference in nutrient release rates between accelerated and natural conditions. For such formulas, it is recommended to appropriately extend the water replenishment period in the water stress-compensation cycle in subsequent experiments to more accurately simulate the nutrient release process under natural conditions.

[0061] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A test method for verifying the accelerated effect of a vegetation restoration formula for power transmission and transformation projects, characterized in that, The method includes the following steps: Step S1: Collect the topsoil from the construction disturbance area of ​​the power transmission and transformation project, and after mixing, removing impurities, and sieving, use it as the homogenization test soil. Step S2: Mix the vegetation restoration formula to be verified with the homogenized test soil, put it into a standardized test container and sow it as a test sample; at the same time, collect undisturbed soil from the construction disturbance area of ​​the same power transmission and transformation project, put it into a standardized test container as a control sample. Step S3: Place the test samples in an artificial climate incubator or intelligent greenhouse for multi-factor synergistic accelerated cultivation, while simultaneously placing the control samples under natural or standard greenhouse conditions; by synchronously acquiring vegetation growth data of the test samples and the control samples, establish a time compression mapping model to determine the acceleration ratio. ; Step S4: Determine the target termination day of the accelerated test based on the acceleration ratio, run the accelerated test until the target termination day, and perform endpoint evaluation; Step S5: Determine whether the formulation passes the acceleration effect verification based on the results of the endpoint evaluation; Step S6: Compare the accelerated test prediction values ​​of the formula that has completed accelerated verification with the actual observed values ​​under natural conditions, calculate the prediction accuracy, and when the prediction accuracy is lower than the preset threshold, adjust the setting value of the multi-factor synergistic accelerated culture and refit the time compression mapping model.

2. The method according to claim 1, characterized in that, Step S1, which involves topsoil sampling and soil pretreatment, includes: Within the construction disturbance area of ​​the power transmission and transformation project, set up no fewer than 5 sampling points using a quincunx or serpentine sampling method to collect soil samples from the top 0-20cm layer. Mix the collected soil samples thoroughly, remove gravel, plant roots, and other debris larger than 5mm, and sieve them through a 2mm sieve. Take a portion of the mixed soil sample for physicochemical property testing, including pH value, organic matter content, available nitrogen content, available phosphorus content, available potassium content, clay content, and field water holding capacity. Distribute the treated soil samples for use.

3. The method according to claim 1, characterized in that, The control sample in step S2 is set up as follows: collect the original soil from the construction disturbance area of ​​the target power transmission and transformation project, remove only gravel and weed roots, do not mix or sieve, and fill it into a standardized test container in the same way and with the same seeding amount as the test sample. Place it in a natural environment or a standard greenhouse for natural growth without applying any acceleration factors.

4. The method according to claim 1, characterized in that, In step S2, at least three parallel samples are prepared for each vegetation restoration formula; the standardized test container has dimensions of 30cm in length, 25cm in width, and 20cm in height, with a drainage hole at the bottom, a filling thickness of 15 to 18cm, and a bulk density of 1.0 to 1.

3. .

5. The method according to claim 1, characterized in that, The multi-factor synergistic accelerated culture described in step S3 includes temperature and light synergistic acceleration, water stress-compensation cycle acceleration, accelerated maturation of the substrate microenvironment, and... At least two of the concentration enrichment acceleration methods; The temperature-light synergistic acceleration includes: daytime temperature of 28 to 32°C, nighttime temperature of 20 to 24°C, and a daily temperature difference of 6 to 10°C; a light cycle of 14 to 16 hours of light and 8 to 10 hours of darkness; and a light intensity of 8,000 to 12,000 lux. The accelerated water stress-compensation cycle includes: each cycle lasting 5 to 7 days, with a continuous drought period of 3 to 4 days, during which the substrate moisture content drops to 30% to 40% of field capacity, followed by a 1 to 2 day rehydration period, during which the substrate moisture content recovers to 80% to 90% of field capacity; The accelerated maturation of the substrate microenvironment includes: placing the filled substrate in an environment of 35 to 38°C for 7 to 10 days before the experiment, and maintaining the substrate moisture content at 60% to 70% of field capacity during this period; The Accelerated concentration enrichment includes: [the following is unclear and likely contains errors: "concentration enrichment acceleration"] in the culture environment. The concentration was increased to 600 μL / L to 800 μL / L.

6. The method according to claim 1, characterized in that, Establish the time compression mapping model and determine the acceleration factor. The method is as follows: The vegetation growth data of the test sample measured at each acceleration time point is compared with the vegetation growth data of the control sample measured under natural conditions. Time points with the same or similar vegetation growth data are selected, and data pairs are constructed using the corresponding acceleration days and natural days. The time compression mapping model is obtained through regression analysis, and the acceleration ratio is... It is equal to the ratio of natural days to accelerated days in the time compression mapping model.

7. The method according to claim 6, characterized in that, The vegetation growth data and matrix physicochemical data of the test samples were collected on days 7, 14, 21, 28, 35, 42 and 49 of the accelerated test; the vegetation growth data of the control samples were collected on days 10, 20, 30, 40, 50, 60, 70, 80 and 90 of the control sample run.

8. The method according to claim 7, characterized in that, The vegetation growth data includes seedling emergence rate, vegetation cover, plant height, aboveground biomass, and root development indicators, including maximum root length, root surface area, and root volume. The substrate physicochemical data includes pH value, organic matter content, available nitrogen content, available phosphorus content, available potassium content, and water content.

9. The method according to claim 1, characterized in that, The endpoint evaluation includes: Calculate 90-day equivalent vegetation cover The Equal to the vegetation cover of the test sample at the target termination number of days; Calculate the vegetation restoration effect index, the vegetation restoration effect index based on With target vegetation cover The ratio is determined; the target vegetation cover The target vegetation cover value for 90 days is set in advance according to the soil and water conservation acceptance standards for power transmission and transformation projects. The soil improvement effect index is calculated, which is determined based on the difference between the matrix physicochemical data at the test endpoint and the background physicochemical data before the test. The Comprehensive Accelerated Validation Score (CAVS) is calculated based on the vegetation restoration effect index, the soil improvement effect index, and the formulation cost C, and is expressed as follows: In the formula, VRI represents the vegetation restoration effect index, SRI represents the soil improvement effect index, and C is the formula cost. To the maximum permissible cost, , , All are weighting coefficients, and ; when and At that time, it was determined that the formula passed the acceleration effect verification, wherein This is a preset threshold.

10. A test system for verifying the accelerated effect of a vegetation restoration formula for power transmission and transformation projects, characterized in that, include: The soil collection and processing unit is used to collect surface soil from the construction disturbance area and perform mixing, sieving, and background testing. The sample preparation unit is used to mix the formulation to be validated with the treated soil and put it into a standardized test container to prepare test samples, as well as to prepare control samples using undisturbed control soil. An environmental control unit is used to perform multi-factor synergistic accelerated culture of the test samples. The environmental control unit includes a temperature control subunit, a light control subunit, a moisture control subunit, and... Concentration control subunit; The data acquisition unit is used to collect vegetation growth data and matrix physicochemical data of the test samples at each stage of the accelerated test, as well as the corresponding data of the control samples. The data processing unit is used to establish a time compression mapping model, calculate the acceleration ratio, determine the target termination day, and calculate the comprehensive accelerated verification score based on the data of the test sample and the control sample. The determination output unit is used to determine whether the formulation has passed the validation based on the comprehensive accelerated validation score and to output a validation report.

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