A method for evaluating the ecological restoration effect of slopes on pumped-storage power stations

Abstract

The present invention relates to the field of ecological data analysis technology, and in particular to a method for evaluating the ecological restoration effect of a slope of a pumped-storage power station, comprising: monitoring the ecological restoration area of ​​the slope of a pumped-storage power station; calculating a restoration state characterization value in the dry season; calculating a restoration state characterization value in the frozen season; calculating a restoration state characterization value in the rainy season; outputting corresponding restoration effect evaluation prompts according to each restoration level; and revising a preset evaluation duration. The present invention ensures the accuracy and adaptability of the evaluation results through real-time monitoring and dynamic weight adjustment, and is capable of responding to environmental changes in a timely manner. By comprehensively considering a variety of environmental parameters, it provides a comprehensive ecological restoration status analysis, clearly distinguishes different restoration levels through the evaluation results, and provides clear guidance for taking targeted restoration measures, effectively solving the problem of inaccurate restoration effect evaluation caused by the inability to adjust ecological restoration measures in a timely manner due to insufficient adaptability to extreme climatic conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological data analysis, and in particular to a method for evaluating the ecological restoration effect of a slope of a pumped-storage power station. Background Art

[0002] Global climate change has led to frequent extreme weather events, such as droughts, floods, and extreme temperatures. These events have a significant impact on the success of ecological restoration projects. Under extreme climatic conditions, the vulnerability of ecosystems increases, and more accurate and timely assessment methods are needed to monitor and guide ecological restoration work. Different ecological restoration measures may have different adaptability and effects to extreme weather, and assessment methods are needed to distinguish and optimize these measures. Ecological restoration is a long-term process that requires continuous management and adjustment. Under extreme weather conditions, this management need becomes more urgent and complex.

[0003] Patent publication number CN107506939A discloses a method for assessing the suitability of riparian ecological restoration measures. The method involves assessing the current status of the riparian zone to be restored, constructing and systematically classifying a database of ecological restoration measures, categorizing the riparian zone into different types to preliminarily select restoration measures, determining the dominant functions of the riparian zone to prioritize the preliminaries, and ultimately determining the appropriate restoration measures based on the riparian site conditions. This assessment process can take a long time to complete, making it insufficiently responsive for environmental issues requiring a rapid response. Furthermore, the method lacks a mechanism for regularly updating data, making it unable to promptly reflect rapid changes in the riparian environment. Summary of the Invention

[0004] To this end, the present invention provides a method for evaluating the ecological restoration effect of a pumped-storage power station slope, which is used to overcome the problem in the prior art that ecological restoration measures cannot be adjusted in a timely manner due to insufficient adaptability to extreme climatic conditions, resulting in inaccurate restoration effect evaluation.

[0005] To achieve the above objectives, the present invention provides a method for evaluating the ecological restoration effect of a pumped storage power station slope, comprising:

[0006] Monitor the real-time ambient temperature, real-time rainfall, real-time slope erosion area, real-time soil temperature, real-time soil moisture and real-time vegetation coverage in the ecological restoration area of ​​the pumped storage power station slope;

[0007] Adjusting the preset soil moisture weight and the preset vegetation coverage weight according to all real-time soil moisture and all real-time ambient temperature within the preset evaluation period, and calculating the dry season restoration status representation value according to the adjustment result, the real-time soil moisture and the real-time vegetation coverage;

[0008] Adjust the preset soil temperature weight and the preset vegetation coverage weight according to all real-time ambient temperatures and all real-time soil temperatures within the assessment period, and calculate the frozen season restoration status representation value according to the adjustment results, the real-time soil temperature, and the real-time vegetation coverage;

[0009] Adjust the preset rate of change weight and the preset soil moisture weight according to the total real-time slope erosion area and the total real-time rainfall within the assessment period, and calculate the rainy season restoration status representation value based on the adjustment result, real-time soil moisture and real-time vegetation coverage;

[0010] Determine the corresponding restoration level according to the dry season restoration state characterization value, the frozen season restoration state characterization value, and the rainy season restoration state characterization value, wherein the restoration level includes a low restoration level and a high restoration level;

[0011] Output corresponding repair effect evaluation prompts according to each repair level;

[0012] The preset evaluation time is modified according to the evaluation prompts of all repair effects within the preset correction time.

[0013] Furthermore, the average value of all real-time soil moisture and all real-time ambient temperature within the evaluation period is calculated.

[0014] When the average value of all real-time soil moisture is less than the preset standard average soil moisture, the average value of all real-time ambient temperatures is greater than the preset standard dry season ambient temperature, and the difference between the average value of all real-time soil moisture and the standard average soil moisture within the evaluation period is greater than the preset standard soil moisture deviation, calculate the ratio of the difference between the average value of all real-time soil moisture and the preset standard average soil moisture and the standard soil moisture deviation, increase and adjust the soil moisture weight according to the calculated ratio, and adjust the vegetation coverage weight according to the adjusted soil moisture weight.

[0015] Furthermore, all real-time soil moisture and all real-time vegetation coverage within the evaluation period are standardized to obtain standardized soil moisture and standardized vegetation coverage, the product of standardized soil moisture and the adjusted soil moisture weight is calculated, and the product of standardized vegetation coverage and the adjusted vegetation coverage weight is calculated. The two calculated products are summed to obtain the dry season restoration status characterization value.

[0016] Furthermore, the average value of all real-time soil temperatures within the evaluation period is calculated.

[0017] When the average value of all real-time soil temperatures is lower than the preset standard average soil temperature, the average value of all real-time ambient temperatures is lower than the preset standard frozen season ambient temperature, and the difference between the average value of all real-time soil temperatures and the standard average soil temperature during the evaluation period is higher than the preset standard soil temperature deviation, the ratio of the difference between the average value of all real-time soil temperatures and the preset standard average soil temperature and the standard soil temperature deviation is calculated, and the soil temperature weight is adjusted according to the calculated ratio, and the preset vegetation coverage weight is adjusted according to the adjusted soil temperature weight.

[0018] Furthermore, all real-time soil temperatures and all real-time vegetation coverage rates within the evaluation period are standardized to obtain standardized soil temperature and standardized vegetation coverage rate, the product of the standardized soil temperature and the adjusted soil temperature weight is calculated, and the product of the standardized vegetation coverage rate and the adjusted vegetation coverage rate weight is calculated. The two calculated products are summed to obtain the frozen season repair status characterization value.

[0019] Furthermore, the average value of all real-time slope erosion areas and the average value of all real-time rainfall within the evaluation period are calculated.

[0020] When the average value of all real-time slope erosion areas is greater than the preset standard average slope erosion area, the average value of all real-time rainfall is greater than the preset standard rainfall, and the difference between the average value of all real-time slope erosion areas and the standard average slope erosion area within the evaluation period is greater than the preset standard slope erosion area deviation, calculate the ratio of the difference between the average value of all real-time slope erosion areas and the standard average slope erosion area and the standard slope erosion area deviation, increase the adjusted change rate weight according to the calculated ratio, and adjust the preset soil moisture weight according to the adjusted change rate weight.

[0021] Furthermore, the difference between the real-time vegetation coverage before the evaluation period and the total real-time vegetation coverage during the evaluation period is calculated, the ratio of each difference to the evaluation period is calculated, and the change rate of the total real-time vegetation coverage is obtained. The total real-time soil moisture and the change rate of the total real-time vegetation coverage during the evaluation period are standardized respectively to obtain the standardized soil moisture and the standardized change rate. The product of the standardized soil moisture and the adjusted soil moisture weight is calculated, and the product of the standardized change rate and the adjusted change rate weight is calculated. The two calculated products are summed to obtain the rainy season restoration status characterization value.

[0022] Furthermore, when the dry season restoration state characterization value is less than the preset standard dry season characterization value, the restoration level is determined to be a low restoration level, and a restoration effect evaluation prompt indicating that dry season restoration measures are required is output;

[0023] When the freezing season repair state characterization value is less than the preset standard freezing season characterization value, the repair level is determined to be a low repair level, and a repair effect evaluation prompt indicating that freezing season repair measures are required is output;

[0024] When the rainy season restoration status characterization value is less than the preset standard rainy season characterization value, the restoration level is determined to be a low restoration level, and a restoration effect evaluation prompt indicating that rainy season restoration measures are required is output.

[0025] Furthermore, within the preset correction time, the number of output repair effect evaluation prompts that require repair measures is obtained. When the number is greater than the preset number of standard evaluation prompts, the difference between the number of repair effect evaluation prompts that require repair measures and the number of standard evaluation prompts is calculated, and the ratio of the difference to the number of standard evaluation prompts is calculated and multiplied by the preset evaluation time to obtain the corrected evaluation time.

[0026] A pumped-storage power station slope ecological restoration effect evaluation system, based on the above-mentioned pumped-storage power station slope ecological restoration effect evaluation method, includes:

[0027] Data acquisition module, used to monitor the real-time ambient temperature, real-time rainfall, real-time slope erosion area, real-time soil temperature, real-time soil moisture and real-time vegetation coverage in the slope ecological restoration area of ​​the pumped storage power station;

[0028] a restoration state characterization value calculation module, connected to the data acquisition module, for adjusting a preset soil moisture weight and a preset vegetation coverage weight according to all real-time soil moisture and all real-time ambient temperature within a preset evaluation period, and calculating a dry season restoration state characterization value according to the adjustment result, the real-time soil moisture, and the real-time vegetation coverage;

[0029] The restoration state characterization value calculation module adjusts the preset soil temperature weight and the preset vegetation coverage weight according to all real-time ambient temperatures and all real-time soil temperatures within the evaluation period, and calculates the frozen season restoration state characterization value according to the adjustment result, the real-time soil temperature, and the real-time vegetation coverage;

[0030] The restoration state characterization value calculation module adjusts the preset change rate weight and the preset soil moisture weight according to the total real-time slope erosion area and the total real-time rainfall within the evaluation period, and calculates the rainy season restoration state characterization value according to the adjustment result, the real-time soil moisture and the real-time vegetation coverage;

[0031] The repair state characterization value calculation module determines the corresponding repair level according to the dry season repair state characterization value, the frozen season repair state characterization value, and the rainy season repair state characterization value, wherein the repair level includes a low repair level and a high repair level;

[0032] An output module, connected to the repair status representation value calculation module, for outputting corresponding repair effect evaluation prompts according to each repair level;

[0033] The correction module is connected to the output module and the repair state characterization value calculation module respectively, and prompts to correct the preset evaluation time according to the evaluation of all repair effects within the preset correction time.

[0034] Compared with the existing technology, the beneficial effect of the present invention is that, through real-time monitoring and dynamic weight adjustment, the accuracy and adaptability of the evaluation results are ensured, and environmental changes can be responded to in a timely manner. By comprehensively considering multiple environmental parameters, a comprehensive ecological restoration status analysis is provided. The evaluation results clearly distinguish different restoration levels, providing clear guidance for taking targeted restoration measures. In addition, automation and information processing improve work efficiency, and the self-adjustment mechanism of the evaluation time makes the evaluation process more flexible and continuously optimized, which helps to achieve long-term ecological monitoring and management, and effectively solves the problem of inaccurate restoration effect evaluation caused by the inability to adjust ecological restoration measures in a timely manner due to insufficient adaptability to extreme climatic conditions.

[0035] Furthermore, through real-time monitoring and data analysis, soil moisture deficiencies during the dry season can be promptly captured and the weights of assessment parameters can be dynamically adjusted accordingly, ensuring that the assessment results are more closely aligned with the actual ecological conditions. Standardization enhances the objectivity and comparability of the assessment, while the weight adjustment mechanism allows the system to exert greater influence on key environmental indicators, thereby achieving more effective resource allocation and strategy formulation during the ecological restoration process. In addition, by quantifying the representation value of dry season restoration status, this method provides decision makers with a clear assessment basis and action guide, helping to improve the response speed and implementation effectiveness of ecological restoration measures, and promoting the rapid recovery and long-term stability of slope ecosystems.

[0036] Furthermore, through real-time monitoring and dynamic weight adjustment, the impact of soil temperature in the freezing season on vegetation growth can be accurately captured, ensuring the timeliness and adaptability of the evaluation results. Standardization enhances the objectivity of the evaluation and comparability across time periods, making the evaluation results more accurate and reliable. In addition, by adjusting the weights of soil temperature and vegetation coverage, the importance of these two indicators to ecological restoration in the cold season is emphasized, which helps to identify key ecological problems and prioritize their resolution. It also provides clear frozen season ecological restoration status indicators to assist in the formulation of targeted restoration strategies, such as soil insulation and vegetation selection, thereby improving the effectiveness and efficiency of ecological restoration measures.

[0037] Furthermore, by dynamically adjusting weights, the focus on key ecological indicators was strengthened, particularly in the assessment of soil erosion and vegetation stability. Standardization not only improved the accuracy and consistency of assessments but also enabled cross-temporal and cross-regional comparisons. Furthermore, by quantifying changes in vegetation cover and soil moisture, it provided clear direction and evidence for ecological restoration measures, facilitating the adoption of more effective soil and water conservation and vegetation restoration strategies. This could significantly improve the ecological stability and restoration efficiency of slopes during the rainy season, reduce environmental risks, and promote rapid recovery and long-term ecosystem health.

[0038] Furthermore, through real-time monitoring and seasonal judgment, the timeliness and pertinence of ecological restoration measures are ensured, thereby improving the efficiency and effectiveness of restoration work. Dynamic weight adjustment and standardized processing enhance the accuracy and scientific nature of the assessment, making the assessment results more real and reliable. In addition, by outputting specific restoration measure prompts, a clear action guide is provided for decision makers, which helps to quickly respond to ecological problems and reduce environmental risks. At the same time, the self-adjustment mechanism of the assessment time makes the assessment process more flexible and continuously optimized, adapting to the ecological restoration needs under different seasons and environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of the method for evaluating the ecological restoration effect of a pumped-storage power station slope in this embodiment;

[0040] Figure 2 This is a decision logic diagram for adjusting the soil moisture weight in this embodiment;

[0041] Figure 3 This is a decision logic diagram for adjusting the soil temperature weight in this embodiment;

[0042] Figure 4 This is a schematic diagram of the pumped-storage power station slope ecological restoration effect evaluation system in this embodiment. DETAILED DESCRIPTION

[0043] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0044] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0045] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0046] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0047] See also Figure 1 As shown, it is a flow chart of the method for evaluating the ecological restoration effect of the pumped storage power station slope in this embodiment;

[0048] This embodiment provides a method for evaluating the ecological restoration effect of a pumped-storage power station slope, including:

[0049] Monitor the real-time ambient temperature, real-time rainfall, real-time slope erosion area, real-time soil temperature, real-time soil moisture and real-time vegetation coverage in the ecological restoration area of ​​the pumped storage power station slope;

[0050] Adjusting the preset soil moisture weight and the preset vegetation coverage weight according to all real-time soil moisture and all real-time ambient temperature within the preset evaluation period, and calculating the dry season restoration status representation value according to the adjustment result, the real-time soil moisture and the real-time vegetation coverage;

[0051] Adjust the preset soil temperature weight and the preset vegetation coverage weight according to all real-time ambient temperatures and all real-time soil temperatures within the assessment period, and calculate the frozen season restoration status representation value according to the adjustment results, the real-time soil temperature, and the real-time vegetation coverage;

[0052] Adjust the preset rate of change weight and the preset soil moisture weight according to the total real-time slope erosion area and the total real-time rainfall within the assessment period, and calculate the rainy season restoration status representation value based on the adjustment result, real-time soil moisture and real-time vegetation coverage;

[0053] Determine the corresponding restoration level according to the dry season restoration state characterization value, the frozen season restoration state characterization value, and the rainy season restoration state characterization value, wherein the restoration level includes a low restoration level and a high restoration level;

[0054] Output corresponding repair effect evaluation prompts according to each repair level;

[0055] The preset evaluation time is modified according to the evaluation prompts of all repair effects within the preset correction time.

[0056] The Dry Season Restoration Status Value (DSS) is a quantitative indicator reflecting the effectiveness of slope ecological restoration during the dry season. It is calculated by comprehensively considering all real-time soil moisture and ambient temperature data over the assessment period and comparing them with pre-set dry season standards. This typically involves standardizing real-time soil moisture and vegetation cover data, multiplying them by the corresponding adjusted weights, and summing them to obtain the DSS. This is used to determine whether dry season slope ecological restoration has achieved the desired results and to provide a basis for formulating or adjusting dry season restoration measures.

[0057] The Frozen Season Restoration Status Value (FRST) is another quantitative indicator used to assess the ecological restoration status of slopes during the cold season. It incorporates real-time soil and ambient temperature data and compares them to pre-set standards for the frozen season. Similar to the dry season value, it normalizes real-time soil temperature and vegetation cover data, multiplies them by adjusted weights, and sums them to produce the FRST. This helps identify ecological restoration needs for slopes during the frozen season and guides appropriate insulation and vegetation protection measures.

[0058] The Rainy Season Restoration Status Value (RSS) reflects the ecological restoration effectiveness of slopes during the rainy season, taking into account factors such as slope erosion area and rainfall. The RSS is calculated by calculating the rate of change in vegetation cover, normalizing the soil moisture and change rate data, and multiplying them by the adjusted weights. This sum is used to assess the ecological stability and restoration effectiveness of slopes during the rainy season and guide the implementation of soil and water conservation and vegetation restoration measures.

[0059] Restoration effectiveness assessment prompts are automatically generated by the system based on the calculated characterization values, providing suggestions or warnings to guide actual ecological restoration work. When the characterization value is below the preset standard, specific restoration measures are indicated; when the characterization value is above or equal to the standard, the system may prompt the user to maintain the current measures or make minor adjustments. This provides clear guidance to decision-makers and ecological restoration implementers, helping them take timely action to optimize ecological restoration results and ensure the continued health and stability of the slope ecology.

[0060] The preset evaluation duration refers to a fixed time period set in the ecological restoration effect evaluation method for collecting and analyzing data in order to calculate the restoration status characterization value. The evaluation duration usually depends on factors such as the scale of the ecological restoration project, the ecological conditions of the slope, the expected vegetation growth cycle, seasonal changes, etc. There is usually no fixed duration, but the common evaluation duration may vary from a few months to a year, depending on the project requirements and the monitoring frequency of ecological changes. In this embodiment, the preset evaluation duration is set to a seasonal cycle, such as three months (one season) or one year, so as to cover the ecological changes in different seasons. By setting a reasonable evaluation duration, it can be ensured that enough data is collected to accurately evaluate the effect of ecological restoration, while avoiding the waste of resources caused by too frequent evaluations.

[0061] The preset correction period refers to the time interval used to adjust the evaluation strategy according to the actual evaluation results in the evaluation method. The setting of the correction period is usually based on the changing speed of the ecological restoration effect, seasonal factors, the dynamic process of vegetation recovery, etc. The correction period is usually set to an integer multiple of the evaluation period. For example, if the evaluation period is one year, the correction period is set to half a year or one year. In this embodiment, the preset correction period is set to half of the evaluation period so that the evaluation strategy can be adjusted in time after the end of each season. By setting the correction period, the evaluation method and restoration measures can be flexibly adjusted according to the actual progress of ecological restoration and seasonal changes, thereby improving the adaptability and effectiveness of the restoration work.

[0062] The default weights for soil moisture, vegetation cover, soil temperature, vegetation cover, rate of change, and soil moisture are all set to 0.5, based on consideration of the balance of various factors in the ecosystem. Equal weighting is chosen when data quality and reliability for all indicators are comparable. Equal weighting is used as a simplified approach when there is no guidance for initial setting of specific seasonal or environmental conditions. In the absence of specific environmental conditions, equal weighting provides a general assessment method. Weights can be adjusted based on seasonal changes or specific environmental events to improve the accuracy of the assessment and the effectiveness of remediation measures.

[0063] The method for evaluating the ecological restoration of pumped-storage power station slopes involves real-time monitoring of multiple key environmental parameters in the slope area, including ambient temperature, rainfall, slope erosion area, soil temperature, soil moisture, and vegetation coverage. Based on this monitoring data, the system dynamically adjusts the weights of indicators such as soil moisture, soil temperature, and vegetation coverage to adapt to environmental conditions in different seasons. The evaluation method evaluates the ecological restoration effect of the slope by calculating restoration status representation values ​​in the dry season, frozen season, and rainy season, then determines the restoration level and outputs corresponding restoration effect evaluation prompts. In addition, the evaluation duration is adjusted based on the number of evaluation prompts within a certain period to optimize the evaluation frequency and accuracy.

[0064] Through real-time monitoring and dynamic weight adjustment, the accuracy and adaptability of the assessment results are ensured, and environmental changes can be responded to in a timely manner. By comprehensively considering multiple environmental parameters, a comprehensive ecological restoration status analysis is provided. The assessment results clearly distinguish different restoration levels, providing clear guidance for taking targeted restoration measures. In addition, automation and information processing improve work efficiency, and the self-adjustment mechanism of the assessment time makes the assessment process more flexible and continuously optimized, which helps to achieve long-term ecological monitoring and management.

[0065] Please continue reading Figure 2 As shown, it is a decision logic diagram for determining and adjusting the soil moisture weight in this embodiment;

[0066] Specifically, the average value of all real-time soil moisture and the average value of all real-time ambient temperature within the evaluation period are calculated.

[0067] When the average value of all real-time soil moisture is less than the preset standard average soil moisture, the average value of all real-time ambient temperatures is greater than the preset standard dry season ambient temperature, and the difference between the average value of all real-time soil moisture and the standard average soil moisture within the evaluation period is greater than the preset standard soil moisture deviation, calculate the ratio of the difference between the average value of all real-time soil moisture and the preset standard average soil moisture and the standard soil moisture deviation, increase and adjust the soil moisture weight according to the calculated ratio, and adjust the vegetation coverage weight according to the adjusted soil moisture weight.

[0068] Specifically, all real-time soil moisture and all real-time vegetation coverage within the evaluation period are standardized to obtain standardized soil moisture and standardized vegetation coverage, the product of standardized soil moisture and the adjusted soil moisture weight is calculated, and the product of standardized vegetation coverage and the adjusted vegetation coverage weight is calculated. The two calculated products are summed to obtain the dry season restoration status characterization value.

[0069] The preset standard average soil moisture is a reference value used to assess the appropriate soil moisture level under specific conditions. It depends on local climate, soil type, vegetation requirements, and historical average soil moisture data. The specific value varies by region and soil type and is typically determined based on long-term climate data and soil research. In this example, a standard value of 20% is set based on the historical average soil moisture for the region. This helps assess whether the current soil moisture meets the requirements for vegetation growth and allows for timely action to improve soil conditions.

[0070] The preset standard dry season ambient temperature serves as a benchmark for assessing ambient temperatures during the dry season. This temperature is determined by the region's dry season climate characteristics and historical temperature data. It is typically set based on historical maximum and minimum temperature data to ensure representativeness even under extreme conditions. In this example, the standard temperature is set to 35°C, the region's average dry season temperature, as the benchmark for assessment. This helps determine vegetation thermal stress under extreme dry season temperatures and guides management measures such as irrigation and shading.

[0071] The preset standard soil moisture deviation is an allowable range of soil moisture fluctuations used to assess soil moisture stability and consistency. This is determined by the sensitivity of soil moisture to vegetation growth and the resilience of the ecosystem. It is typically set to a small percentage to ensure soil moisture remains within a suitable range. In this embodiment, it is set to ±10% to ±20% of the standard average soil moisture to accommodate slight environmental variations. This provides a buffer zone, allowing for a certain degree of soil moisture fluctuation while ensuring timely action when soil moisture levels become too low.

[0072] The real-time average of soil moisture and ambient temperature data over the assessment period is calculated and compared with a preset standard to determine whether the soil moisture weight needs to be adjusted. When soil moisture is below the standard and the deviation is significant, the soil moisture weight is adjusted by calculating the ratio of the difference to the standard deviation, which in turn affects the vegetation coverage weight. Subsequently, the real-time soil moisture and vegetation coverage data are standardized and multiplied by the corresponding adjusted weights. The sum of the two values ​​is used to obtain a dry season restoration status representation value, thereby quantifying the ecological restoration effect during the dry season.

[0073] Through real-time monitoring and data analysis, soil moisture deficiencies during the dry season can be promptly captured and the weights of assessment parameters can be dynamically adjusted accordingly, ensuring that the assessment results are more closely aligned with the actual ecological conditions. Standardization enhances the objectivity and comparability of the assessment, while the weight adjustment mechanism allows the system to exert greater influence on key environmental indicators, thereby achieving more effective resource allocation and strategy formulation during the ecological restoration process. In addition, by quantifying the representation value of dry season restoration status, this method provides decision makers with a clear assessment basis and action guide, helping to improve the response speed and implementation effectiveness of ecological restoration measures, and promoting the rapid recovery and long-term stability of slope ecosystems.

[0074] Please continue reading Figure 3 As shown, it is a decision logic diagram for determining and adjusting the soil temperature weight in this embodiment;

[0075] Specifically, the average value of all real-time soil temperatures within the evaluation period is calculated.

[0076] When the average value of all real-time soil temperatures is lower than the preset standard average soil temperature, the average value of all real-time ambient temperatures is lower than the preset standard frozen season ambient temperature, and the difference between the average value of all real-time soil temperatures and the standard average soil temperature during the evaluation period is higher than the preset standard soil temperature deviation, the ratio of the difference between the average value of all real-time soil temperatures and the preset standard average soil temperature and the standard soil temperature deviation is calculated, and the soil temperature weight is adjusted according to the calculated ratio, and the preset vegetation coverage weight is adjusted according to the adjusted soil temperature weight.

[0077] Specifically, all real-time soil temperatures and all real-time vegetation coverage rates within the evaluation period are standardized to obtain standardized soil temperature and standardized vegetation coverage rate. The product of the standardized soil temperature and the adjusted soil temperature weight is calculated, and the product of the standardized vegetation coverage rate and the adjusted vegetation coverage rate weight is calculated. The two calculated products are summed to obtain the characterization value of the frozen season repair status.

[0078] The preset standard average soil temperature is a reference value used to assess the optimum soil temperature under specific conditions. This value depends on local climate conditions, soil type, the temperature preferences of plant roots, and historical average soil temperature data. It is typically set based on regional climate characteristics and soil type, and is based on long-term climate and soil temperature monitoring data. In this embodiment, it is set to the average annual soil temperature for the region, for example, 12°C to 15°C. This helps determine whether soil temperature is suitable for plant growth, especially when planning insulation measures before the freezing season.

[0079] The preset standard freezing season ambient temperature serves as a benchmark for evaluating cold season ambient temperatures and is used to determine low temperatures that may affect vegetation. This temperature is determined by the region's freezing season climate characteristics and historical minimum temperature data. It is typically set to the region's historical freezing season average temperature or slightly below this average. In this embodiment, it is set at 0°C, serving as a warning temperature near freezing, prompting the adoption of insulation measures. This ensures that vegetation is protected from freezing damage in extreme low temperature conditions and guides the use of coverings and emergency insulation measures.

[0080] The preset standard soil temperature deviation is an allowable range of soil temperature fluctuations used to assess soil temperature stability and consistency. This range depends on the sensitivity of vegetation to soil temperature changes and the adaptability of the soil ecosystem. It is typically set to a narrow temperature range, such as ±2°C to ±3°C, to ensure a suitable and stable soil temperature. In this example, it is set to ±2°C to provide a buffer zone to accommodate daily temperature fluctuations. This allows for a certain degree of soil temperature fluctuation while ensuring timely action if the soil temperature drops too low.

[0081] First, the real-time average values ​​of soil temperature and ambient temperature during the evaluation period are calculated and compared with the preset frozen season standards and deviations. When the monitored soil temperature is lower than the standard value and the deviation is significant, the soil temperature weight is dynamically adjusted through ratio analysis, thereby affecting the vegetation coverage weight. Subsequently, the soil temperature and vegetation coverage data are standardized and multiplied by the corresponding adjusted weights. The sum is used to obtain the frozen season restoration status representation value, which is used to quantify the ecological restoration effect of the slope in the cold season.

[0082] Through real-time monitoring and dynamic weight adjustment, the impact of soil temperature in the freezing season on vegetation growth can be accurately captured, ensuring the timeliness and adaptability of the evaluation results. Standardization enhances the objectivity of the evaluation and comparability across time periods, making the evaluation results more accurate and reliable. In addition, by adjusting the weights of soil temperature and vegetation coverage, the importance of these two indicators to ecological restoration in the cold season is emphasized, which helps to identify key ecological problems and prioritize their resolution. It also provides clear frozen season ecological restoration status indicators to assist in formulating targeted restoration strategies, such as soil insulation and vegetation selection, thereby improving the effectiveness and efficiency of ecological restoration measures.

[0083] Specifically, the average value of all real-time slope erosion areas and the average value of all real-time rainfall within the assessment period are calculated.

[0084] When the average value of all real-time slope erosion areas is greater than the preset standard average slope erosion area, the average value of all real-time rainfall is greater than the preset standard rainfall, and the difference between the average value of all real-time slope erosion areas and the standard average slope erosion area within the evaluation period is greater than the preset standard slope erosion area deviation, calculate the ratio of the difference between the average value of all real-time slope erosion areas and the standard average slope erosion area and the standard slope erosion area deviation, increase the adjusted change rate weight according to the calculated ratio, and adjust the preset soil moisture weight according to the adjusted change rate weight.

[0085] Specifically, the difference between the real-time vegetation coverage rate before the evaluation period and the total real-time vegetation coverage rate during the evaluation period is calculated, the ratio of each difference to the evaluation period is calculated, and the change rate of the total real-time vegetation coverage rate is obtained. The total real-time soil moisture and the change rate of the total real-time vegetation coverage rate during the evaluation period are standardized respectively to obtain the standardized marginal soil moisture and the standardized change rate. The product of the standardized soil moisture and the adjusted soil moisture weight is calculated, and the product of the standardized change rate and the adjusted change rate weight is calculated. The two calculated products are summed to obtain the rainy season restoration status representation value.

[0086] The preset standard average slope erosion area is a reference value used to evaluate the average area lost by the slope due to erosion within a certain period of time. It depends on factors such as the geological conditions of the slope, vegetation coverage, rainfall intensity, historical erosion data, etc. It is usually set based on historical erosion rates and geographic information system (GIS) analysis, and is usually an average value reflecting the stability of the slope. In this embodiment, it is set to the annual average erosion area derived from long-term monitoring data. It helps to promptly detect situations that exceed the normal erosion rate, so that corresponding soil and water conservation measures can be taken.

[0087] The preset standard rainfall is used to assess the impact of rainfall on slopes over a specific period of time. This depends on local climate conditions, rainfall patterns, topography, and drainage capacity. It is typically set based on historical rainfall data, such as multi-year average rainfall. In this example, the average rainfall for the region is used as a benchmark for assessing slope erosion. This helps assess the impact of rainfall on slope erosion and guides the development of appropriate drainage and revegetation measures.

[0088] The preset standard slope erosion area deviation is an allowable range of slope erosion area fluctuations used to assess the stability and consistency of erosion rates. This range depends on the natural fluctuations in slope erosion, monitoring accuracy, and vegetation recovery capacity. It is typically set within a relatively small range, such as ±10% to ±20% of the standard erosion area. In this example, it is set to ±15% to accommodate seasonal rainfall variations and natural fluctuations in erosion rates. This provides a buffer zone, allowing for a certain degree of erosion area variation while ensuring timely response measures when erosion rates are abnormal.

[0089] By calculating the average slope erosion area and rainfall over the assessment period and comparing them with preset standards and deviations, the system identifies whether weight adjustments are necessary. If the average slope erosion area and rainfall exceed the preset standards and the difference is significant, the system adjusts the rate of change weight and soil moisture weight based on this deviation. Furthermore, by calculating the rate of change of vegetation cover, standardizing the soil moisture and vegetation cover rate of change data, multiplying them by the adjusted weights, and summing them to obtain a rainy season restoration status representation value, the system can quantify the ecological restoration effect of the slope during the rainy season.

[0090] By dynamically adjusting weights, the focus on key ecological indicators has been strengthened, particularly in the assessment of soil erosion and vegetation stability. Standardization not only improves the accuracy and consistency of assessments but also enables comparisons across time periods and regions. Furthermore, by quantifying changes in vegetation cover and soil moisture, it provides clear direction and basis for ecological restoration measures, facilitating the adoption of more effective soil and water conservation and vegetation restoration strategies. This can significantly improve the ecological stability and restoration efficiency of slopes during the rainy season, reduce environmental risks, and promote rapid recovery and long-term ecosystem health.

[0091] Specifically, when the dry season restoration state representation value is less than the preset standard dry season representation value, the restoration level is determined to be a low restoration level, and a restoration effect evaluation prompt indicating that dry season restoration measures are required is output;

[0092] When the freezing season repair state characterization value is less than the preset standard freezing season characterization value, the repair level is determined to be a low repair level, and a repair effect evaluation prompt indicating that freezing season repair measures are required is output;

[0093] When the rainy season restoration status characterization value is less than the preset standard rainy season characterization value, the restoration level is determined to be a low restoration level, and a restoration effect evaluation prompt indicating that rainy season restoration measures are required is output.

[0094] Specifically, within the preset correction time, the number of output repair effect evaluation prompts that require repair measures is obtained. When the number is greater than the preset number of standard evaluation prompts, the difference between the number of repair effect evaluation prompts that require repair measures and the number of standard evaluation prompts is calculated. The ratio of the difference to the number of standard evaluation prompts is calculated and multiplied by the preset evaluation time to obtain the corrected evaluation time.

[0095] The ecological restoration effects in different seasons are determined by setting standard characterization values, and corresponding restoration measures prompts are output accordingly. Specifically, the evaluation process involves real-time monitoring of key indicators such as soil moisture, ambient temperature, soil temperature, slope erosion area and rainfall in the dry season, freezing season and rainy season, and calculating the restoration status characterization value of each season. When the characterization value is lower than the preset standard, the system automatically determines it as a low restoration level and outputs corresponding seasonal restoration measures prompts. In addition, the evaluation duration will be dynamically adjusted based on the difference between the number of restoration prompts output within a certain period and the preset standard to optimize the evaluation frequency and timing.

[0096] Through real-time monitoring and seasonal determination, the timeliness and pertinence of ecological restoration measures are ensured, thereby improving the efficiency and effectiveness of restoration work. Dynamic weight adjustment and standardized processing enhance the accuracy and scientific nature of the assessment, making the assessment results more real and reliable. In addition, this method provides decision makers with a clear action guide by outputting specific restoration measures, which helps to quickly respond to ecological problems and reduce environmental risks. At the same time, the self-adjustment mechanism of the assessment duration makes the assessment process more flexible and continuously optimized, adapting to the ecological restoration needs under different seasons and environmental conditions.

[0097] Please continue reading Figure 4 As shown, it is a schematic diagram of the pumped storage power station slope ecological restoration effect evaluation system of this embodiment;

[0098] A pumped-storage power station slope ecological restoration effect evaluation system, based on the above-mentioned pumped-storage power station slope ecological restoration effect evaluation method, includes:

[0099] Data acquisition module, used to monitor the real-time ambient temperature, real-time rainfall, real-time slope erosion area, real-time soil temperature, real-time soil moisture and real-time vegetation coverage in the slope ecological restoration area of ​​the pumped storage power station;

[0100] a restoration state characterization value calculation module, connected to the data acquisition module, for adjusting a preset soil moisture weight and a preset vegetation coverage weight according to all real-time soil moisture and all real-time ambient temperature within a preset evaluation period, and calculating a dry season restoration state characterization value according to the adjustment result, the real-time soil moisture, and the real-time vegetation coverage;

[0101] The restoration state characterization value calculation module adjusts the preset soil temperature weight and the preset vegetation coverage weight according to all real-time ambient temperatures and all real-time soil temperatures within the evaluation period, and calculates the frozen season restoration state characterization value according to the adjustment result, the real-time soil temperature, and the real-time vegetation coverage;

[0102] The restoration state characterization value calculation module adjusts the preset change rate weight and the preset soil moisture weight according to the total real-time slope erosion area and the total real-time rainfall within the evaluation period, and calculates the rainy season restoration state characterization value according to the adjustment result, the real-time soil moisture and the real-time vegetation coverage;

[0103] The repair state characterization value calculation module determines the corresponding repair level according to the dry season repair state characterization value, the frozen season repair state characterization value, and the rainy season repair state characterization value, wherein the repair level includes a low repair level and a high repair level;

[0104] An output module, connected to the repair status representation value calculation module, for outputting corresponding repair effect evaluation prompts according to each repair level;

[0105] The correction module is connected to the output module and the repair state characterization value calculation module respectively, and prompts to correct the preset evaluation time according to the evaluation of all repair effects within the preset correction time.

[0106] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0107] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for evaluating the ecological restoration effect of a pumped storage power station slope, characterized in that: include: Monitor the real-time ambient temperature, real-time rainfall, real-time slope erosion area, real-time soil temperature, real-time soil moisture and real-time vegetation coverage in the ecological restoration area of ​​the pumped storage power station slope; Adjusting the preset soil moisture weight and the preset vegetation coverage weight according to all real-time soil moisture and all real-time ambient temperature within the preset evaluation period, and calculating the dry season restoration status representation value according to the adjustment result, the real-time soil moisture and the real-time vegetation coverage; Adjust the preset soil temperature weight and the preset vegetation coverage weight according to all real-time ambient temperatures and all real-time soil temperatures within the assessment period, and calculate the frozen season restoration status representation value according to the adjustment results, the real-time soil temperature, and the real-time vegetation coverage; Adjust the preset rate of change weight and the preset soil moisture weight according to the total real-time slope erosion area and the total real-time rainfall within the assessment period, and calculate the rainy season restoration status representation value based on the adjustment result, real-time soil moisture and real-time vegetation coverage; Determine the corresponding restoration level according to the dry season restoration state characterization value, the frozen season restoration state characterization value, and the rainy season restoration state characterization value, wherein the restoration level includes a low restoration level and a high restoration level; Output corresponding repair effect evaluation prompts according to each repair level; The preset evaluation time is modified according to the evaluation prompts of all repair effects within the preset correction time.

2. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 1, characterized in that: Calculate the average value of all real-time soil moisture and all real-time ambient temperature within the evaluation period. When the average value of all real-time soil moisture is less than the preset standard average soil moisture, the average value of all real-time ambient temperatures is greater than the preset standard dry season ambient temperature, and the difference between the average value of all real-time soil moisture and the standard average soil moisture within the evaluation period is greater than the preset standard soil moisture deviation, calculate the ratio of the difference between the average value of all real-time soil moisture and the preset standard average soil moisture and the standard soil moisture deviation, increase and adjust the soil moisture weight according to the calculated ratio, and adjust the vegetation coverage weight according to the adjusted soil moisture weight.

3. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 2, characterized in that: All real-time soil moisture and all real-time vegetation coverage within the evaluation period are standardized respectively to obtain standardized soil moisture and standardized vegetation coverage. The product of standardized soil moisture and the adjusted soil moisture weight is calculated, and the product of standardized vegetation coverage and the adjusted vegetation coverage weight is calculated. The two calculated products are summed to obtain the dry season restoration status characterization value.

4. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 1, characterized in that: Calculate the average value of all real-time soil temperatures within the evaluation period, When the average value of all real-time soil temperatures is lower than the preset standard average soil temperature, the average value of all real-time ambient temperatures is lower than the preset standard frozen season ambient temperature, and the difference between the average value of all real-time soil temperatures and the standard average soil temperature during the evaluation period is higher than the preset standard soil temperature deviation, the ratio of the difference between the average value of all real-time soil temperatures and the preset standard average soil temperature and the standard soil temperature deviation is calculated, and the soil temperature weight is adjusted according to the calculated ratio, and the preset vegetation coverage weight is adjusted according to the adjusted soil temperature weight.

5. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 4 is characterized in that: All real-time soil temperatures and all real-time vegetation coverage rates within the evaluation period are standardized respectively to obtain standardized soil temperature and standardized vegetation coverage rate. The product of the standardized soil temperature and the adjusted soil temperature weight is calculated, and the product of the standardized vegetation coverage rate and the adjusted vegetation coverage rate weight is calculated. The two calculated products are summed to obtain the frozen season repair status characterization value.

6. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 1, characterized in that: Calculate the average value of all real-time slope erosion areas and the average value of all real-time rainfall within the assessment period. When the average value of all real-time slope erosion areas is greater than the preset standard average slope erosion area, the average value of all real-time rainfall is greater than the preset standard rainfall, and the difference between the average value of all real-time slope erosion areas and the standard average slope erosion area within the evaluation period is greater than the preset standard slope erosion area deviation, calculate the ratio of the difference between the average value of all real-time slope erosion areas and the standard average slope erosion area and the standard slope erosion area deviation, increase the adjusted change rate weight according to the calculated ratio, and adjust the preset soil moisture weight according to the adjusted change rate weight.

7. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 6 is characterized in that: Calculate the difference between the real-time vegetation coverage before the evaluation period and the total real-time vegetation coverage during the evaluation period, calculate the ratio of each difference to the evaluation period, and obtain the change rate of the total real-time vegetation coverage. Standardize the total real-time soil moisture and the change rate of the total real-time vegetation coverage during the evaluation period to obtain the standardized soil moisture and the standardized change rate. Calculate the product of the standardized soil moisture and the adjusted soil moisture weight, calculate the product of the standardized change rate and the adjusted change rate weight, sum the two calculated products, and obtain the rainy season restoration status representation value.

8. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 1, characterized in that: When the dry season restoration state characterization value is less than the preset standard dry season characterization value, the restoration level is determined to be a low restoration level, and a restoration effect evaluation prompt indicating that dry season restoration measures are required is output; When the freezing season repair state characterization value is less than the preset standard freezing season characterization value, the repair level is determined to be a low repair level, and a repair effect evaluation prompt indicating that freezing season repair measures are required is output; When the rainy season restoration status characterization value is less than the preset standard rainy season characterization value, the restoration level is determined to be a low restoration level, and a restoration effect evaluation prompt indicating that rainy season restoration measures are required is output.

9. The method for evaluating the ecological restoration effect of a pumped storage power station slope according to claim 8, characterized in that: Within the preset correction time, obtain the output number of repair effect evaluation prompts that require repair measures. When the number is greater than the preset number of standard evaluation prompts, calculate the difference between the number of repair effect evaluation prompts that require repair measures and the number of standard evaluation prompts. Calculate the ratio of the difference to the number of standard evaluation prompts and multiply it by the preset evaluation time to obtain the corrected evaluation time.

10. A pumped storage power station slope ecological restoration effect evaluation system, based on the pumped storage power station slope ecological restoration effect evaluation method according to any one of claims 1 to 9, characterized in that: include: Data acquisition module, used to monitor the real-time ambient temperature, real-time rainfall, real-time slope erosion area, real-time soil temperature, real-time soil moisture and real-time vegetation coverage in the slope ecological restoration area of ​​the pumped storage power station; a restoration state characterization value calculation module, connected to the data acquisition module, for adjusting a preset soil moisture weight and a preset vegetation coverage weight according to all real-time soil moisture and all real-time ambient temperature within a preset evaluation period, and calculating a dry season restoration state characterization value according to the adjustment result, the real-time soil moisture, and the real-time vegetation coverage; The restoration state characterization value calculation module adjusts the preset soil temperature weight and the preset vegetation coverage weight according to all real-time ambient temperatures and all real-time soil temperatures within the evaluation period, and calculates the frozen season restoration state characterization value according to the adjustment result, the real-time soil temperature, and the real-time vegetation coverage; The restoration state characterization value calculation module adjusts the preset change rate weight and the preset soil moisture weight according to the total real-time slope erosion area and the total real-time rainfall within the evaluation period, and calculates the rainy season restoration state characterization value according to the adjustment result, the real-time soil moisture and the real-time vegetation coverage; The repair state characterization value calculation module determines the corresponding repair level according to the dry season repair state characterization value, the frozen season repair state characterization value, and the rainy season repair state characterization value, wherein the repair level includes a low repair level and a high repair level; An output module, connected to the repair status representation value calculation module, for outputting corresponding repair effect evaluation prompts according to each repair level; The correction module is connected to the output module and the repair state characterization value calculation module respectively, and prompts to correct the preset evaluation time according to the evaluation of all repair effects within the preset correction time.

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