Evaluation method and system of natural resource projects based on performance assessment

Abstract

The present invention discloses a natural resource project evaluation method and system based on performance appraisal, which relates to the technical field of project evaluation. The method obtains the vegetation coverage impact value, soil damage value and rainfall impact value of the target area to calculate the disaster impact value of the target area; compares the disaster impact value of the target area with a preset disaster impact value threshold, and determines the disaster severity level of the target area according to the comparison result, and determines the performance appraisal evaluation standard of the environmental restoration in the corresponding natural project of the target area in the next stage according to the different disaster severity levels; in this way, in the performance appraisal evaluation of the environmental restoration project of the forest ecological area, when the forest ecological area has experienced a natural disaster, such as a typhoon, etc., the environmental restoration performance indicator assessment of the forest ecological area in the next stage can be adjusted according to the actual situation, so that the performance appraisal judgment of the project in the next stage is reasonable and correct, and the influence of the management on the project decision is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of project evaluation, and in particular to a natural resource project evaluation method and system based on performance assessment. Background Art

[0002] In natural resource restoration and protection projects, performance appraisal, as an important evaluation method, has been widely used in the management and monitoring of various ecological restoration projects. The core of performance appraisal is to quantitatively evaluate the environmental effects of natural resource restoration by setting reasonable key performance indicators (KPIs). For example, suppose there is an environmental restoration project in a forest ecological area. By regularly monitoring the environmental restoration status of the forest ecological area, it is determined whether the environmental restoration results have met the key performance indicators corresponding to each stage. Through monitoring and evaluation of key indicators, the management can timely understand the restoration effect and make necessary adjustments.

[0003] However, in the performance evaluation of environmental restoration projects in forest ecological areas, if the forest ecological area has experienced natural disasters such as typhoons, the environmental restoration status of the forest ecological area may be affected, resulting in incorrect judgments on the environmental restoration performance indicators of the forest ecological area in the next stage, resulting in inaccurate performance evaluation results, and thus affecting the management's decision-making on the project. Summary of the Invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide a natural resource project evaluation method and system based on performance assessment.

[0005] In a first aspect of the present invention, a natural resource project evaluation method based on performance assessment is first proposed, the method comprising:

[0006] The area where forest ecological environment restoration is being carried out is recorded as the target area. Remote sensing images of the target area before and after the disaster are obtained, and the remote sensing images are analyzed to determine the vegetation cover impact value and soil damage value of the target area;

[0007] Obtain the rainfall in the target area after the disaster, and divide the rainfall by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area;

[0008] Calculate the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area;

[0009] The disaster impact value of the target area is compared with the preset disaster impact value threshold, and the disaster severity level of the target area is determined based on the comparison result. The performance assessment evaluation standard for environmental restoration in the corresponding natural project in the target area in the next stage is determined based on the different disaster severity levels; the disaster severity levels of the target area include low, medium and high levels.

[0010] Optionally, the step of analyzing the remote sensing image to determine the vegetation coverage impact value of the target area is as follows: for the remote sensing images of the target area before and after the disaster, extract the near infrared band pixel value and the red light band pixel value of each pixel from the remote sensing image to obtain the vegetation index of the corresponding pixel , the calculation formula is: Where, and are the pixel values ​​of the near infrared band and the pixel values ​​of the red light band respectively; the sum of the vegetation index of all pixels in the corresponding remote sensing image is calculated to obtain the vegetation coverage value of the corresponding remote sensing image;

[0011] The difference in vegetation coverage values ​​of the remote sensing images of the target area before and after the disaster is calculated, and the difference is divided by the vegetation coverage value of the remote sensing image before the disaster to obtain the vegetation coverage impact value of the corresponding target area.

[0012] Optionally, the steps of analyzing the remote sensing image to determine the soil damage value of the target area are:

[0013] Use SIFT algorithm to align the space of remote sensing images of the target area before and after the disaster; and extract digital elevation models of the target area before and after the disaster from the aligned remote sensing images;

[0014] Extract the elevation values ​​of each pixel before and after the disaster from the digital elevation models before and after the disaster, and calculate the absolute difference between the elevation values ​​before and after the disaster as the elevation change value of each pixel;

[0015] The soil damage value of the target area is calculated based on the elevation change value of each pixel and the actual area corresponding to the pixel. The calculation formula is: , where is the soil damage value of the corresponding target area, For the The elevation change value of each pixel, For the The actual area corresponding to the pixel, is the total number of pixels.

[0016] Optionally, the steps of calculating the disaster impact value of the target area according to the vegetation cover impact value, soil damage value and rainfall impact value of the target area are: Where, is the disaster impact value, 、 and are the vegetation coverage impact value, soil damage value and rainfall impact value of the target area respectively. They are 、 and The preset scaling factor of Both are greater than 0.

[0017] Optionally, comparing the disaster impact value of the target area with a preset disaster impact value gradient threshold, and determining the disaster severity level of the target area based on the comparison result includes:

[0018] Compare the disaster impact value of the target area with the preset disaster impact value threshold. If the disaster impact value of the target area is less than the first preset disaster impact value threshold, the disaster severity level of the corresponding target area is recorded as low.

[0019] If the disaster impact value of the target area is not less than the first threshold value of the preset disaster impact value but less than the second threshold value of the preset disaster impact value, the disaster severity level of the corresponding target area is recorded as medium;

[0020] If the disaster impact value of the target area is not less than the preset second threshold value of the disaster impact value, the disaster severity level of the corresponding target area will be recorded as a high level.

[0021] Optionally, performance evaluation criteria for environmental restoration in the next phase of the corresponding natural project in the target area can be determined based on different disaster severity levels, including:

[0022] When the disaster severity level of the target area is low, the performance evaluation standards for environmental restoration in the next phase of the natural project in the corresponding target area will still be implemented according to the originally set standards;

[0023] When the disaster severity level of the target area is medium, obtain the performance assessment indicators of environmental restoration in the next stage of the natural project and obtain the standard assessment values ​​corresponding to the indicators; obtain the preset adjustment values ​​corresponding to the disaster impact values ​​of the target area and calculate the new assessment values ​​corresponding to the indicators. The calculation formula is: , where is the new assessment value corresponding to the indicator, is the standard assessment value corresponding to the indicator, is the preset adjustment value corresponding to the disaster impact value of the target area, , and evaluate the project according to the new assessment value. Optionally, the performance assessment evaluation criteria for environmental restoration in the next phase of the corresponding natural project in the target area according to different disaster severity levels also include:

[0024] When the disaster severity level of the target area is high, the target area is divided into several sub-areas, and the disaster impact value of each sub-area is calculated; the standard deviation of the disaster impact values ​​of all sub-areas in the target area is calculated based on the disaster impact value of each sub-area, and the standard deviation is used as the disaster impact unevenness value of the target area;

[0025] Compare the target area's disaster impact unevenness value with the preset average value threshold. If the disaster impact unevenness value is not less than the preset average value threshold, the target area's disaster severity level will be re-recorded as medium and re-evaluated according to the evaluation criteria corresponding to the medium level.

[0026] If the uneven value of the disaster impact is less than the preset average value threshold, the performance assessment evaluation criteria for environmental restoration in the corresponding natural project in the target area in the next stage will be re-established for evaluation.

[0027] In a second aspect of the present invention, a natural resource project evaluation system based on performance assessment is proposed, the system comprising:

[0028] The first impact module: The area where forest ecological environment restoration is being carried out is recorded as the target area. Remote sensing images of the target area before and after the disaster are obtained, and the remote sensing images are analyzed to determine the vegetation cover impact value and soil damage value of the target area;

[0029] Second impact module: obtain the rainfall in the target area after the disaster, and divide the rainfall by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area;

[0030] Disaster impact module: Calculates the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area;

[0031] Project evaluation module: Compare the disaster impact value of the target area with the preset disaster impact value threshold, and determine the disaster severity level of the target area based on the comparison results, and determine the performance assessment evaluation standards for environmental restoration in the corresponding natural projects in the target area in the next stage based on different disaster severity levels.

[0032] Beneficial effects of the present invention:

[0033] The present invention proposes a natural resource project evaluation method and system based on performance appraisal, which obtains the vegetation cover impact value, soil damage value and rainfall impact value of the target area, and calculates the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area; compares the disaster impact value of the target area with the preset disaster impact value threshold, and determines the disaster severity level of the target area based on the comparison result, and determines the performance appraisal evaluation standard of the environmental restoration in the corresponding natural project of the target area in the next stage based on the different disaster severity levels; in this way, in the performance appraisal evaluation of the environmental restoration project of the forest ecological area, when the forest ecological area has experienced natural disasters such as typhoons, the environmental restoration performance indicator assessment of the forest ecological area in the next stage can be adjusted according to the actual situation, so that the performance appraisal judgment of the project in the next stage is reasonable and correct, reducing the influence of the management on the project decision. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below with reference to the accompanying drawings.

[0035] Figure 1 A flowchart of the natural resource project evaluation method based on performance assessment;

[0036] Figure 2 This is a framework diagram of the natural resource project evaluation system based on performance appraisal. DETAILED DESCRIPTION

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0038] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0039] The embodiment of the present invention provides a natural resource project evaluation method based on performance assessment. Figure 1 , Figure 1 A flowchart of a performance-based natural resource project evaluation method provided in an embodiment of the present invention. The method includes the following steps: marking the area where forest ecological environment restoration is to be carried out as the target area, obtaining remote sensing images of the target area before and after the disaster, and analyzing the remote sensing images to determine the vegetation cover impact value and soil damage value of the target area;

[0040] Obtain the rainfall in the target area after the disaster, and divide the rainfall by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area;

[0041] Calculate the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area;

[0042] The disaster impact value of the target area is compared with the preset disaster impact value threshold, and the disaster severity level of the target area is determined based on the comparison results. The performance assessment evaluation standards for environmental restoration in the corresponding natural projects in the target area in the next stage are determined based on different disaster severity levels.

[0043] Based on the performance appraisal-based natural resource project evaluation method provided by the embodiment of the present invention, through the above-mentioned method, in the performance appraisal evaluation of environmental restoration projects in forest ecological areas, when the forest ecological area has experienced natural disasters such as typhoons, the environmental restoration performance indicator assessment of the forest ecological area in the next stage can be adjusted according to the actual situation, so that the performance appraisal judgment of the project in the next stage is reasonable and correct, reducing the influence of the management on the project decision-making.

[0044] In one embodiment, the steps of analyzing the remote sensing image to determine the vegetation coverage impact value of the target area are as follows: for the remote sensing image of the target area before and after the disaster, extract the near infrared band pixel value and the red light band pixel value of each pixel from the remote sensing image to obtain the vegetation index of the corresponding pixel , the calculation formula is: Where, and The vegetation coverage value of the target area is obtained by calculating the difference between the vegetation coverage values ​​of the remote sensing images before and after the disaster, and dividing the difference by the vegetation coverage value of the remote sensing images before the disaster to obtain the vegetation coverage impact value of the target area. It should be noted that remote sensing images of the target area before and after the disaster can usually be obtained from public remote sensing satellite data sources, such as NASA's Landsat series of satellites and ESA's Sentinel series of satellites.

[0045] These satellites provide high-resolution multispectral imagery, including near-infrared (NIR) and red (RED) bands, which can be used to calculate the National Vegetation Index (NDVI). Extracting pixel values ​​from each remote sensing image is typically accomplished using remote sensing image processing software (such as ENVI, QGIS, and ArcGIS) or remote sensing processing libraries (such as Rasterio and GDAL) in programming languages ​​(such as Python and R). First, these tools load the remote sensing image data, which contains reflectance values ​​for each pixel in different bands.

[0046] In remote sensing imagery, the near-infrared band generally corresponds to a specific band (such as the B5 band of Landsat 8 and the B8 band of Sentinel-2), while the red band usually corresponds to another band (such as the B4 band of Landsat 8 and the B4 band of Sentinel-2). By using programming or software tools to extract the pixel values ​​of these bands one by one and performing data cleaning and correction as needed, the NDVI value of each pixel can be calculated.

[0047] It should be noted that the greater the vegetation coverage impact value of the target area, the greater the degree of impact of the disaster on the target area, and the environmental restoration status of the target area is affected, which will lead to wrong judgments on the environmental restoration performance index assessment of the forest ecological area in the next stage, resulting in inaccurate performance assessment results, and thus affecting the management's decision on the project. The reason is that: the increase in the vegetation coverage impact value directly reflects the degree of damage to the vegetation in the target area caused by the disaster, which means that the ecosystem function of the area has been greatly damaged, which may lead to a delay in the ecological restoration process or a reduction in the restoration effect; when the vegetation coverage impact value of a certain target area is large, it means that the complexity and difficulty of post-disaster recovery have increased, which may cause the progress of environmental restoration to be seriously affected; however, if in the subsequent performance If this point is not fully taken into account in the performance assessment and the evaluation is conducted directly according to the pre-disaster standards, it will lead to deviations in the assessment results. For example, the management may believe that the recovery progress in the area is very poor, and then determine that its assessment does not meet the standards, and make decisions to strengthen intervention, such as over-investing resources or changing the restoration strategy. However, these measures may not meet the actual needs and may instead increase the waste of resources or management chaos in the restoration process. This erroneous performance assessment judgment not only affects the actual effect of the project, but may also waste precious resources and time, delay effective support for ecological restoration projects, and thus affect the overall ecological restoration process. Therefore, accurately evaluating the vegetation cover impact value of each target area and adjusting the performance assessment standards accordingly are the key to ensuring the smooth implementation of the project and achieving the expected goals.

[0048] In one implementation method, the benefits of analyzing the impact value of vegetation cover in the target area for reasonable judgment of environmental restoration performance indicators are: it can provide a dynamic evaluation based on the actual post-disaster recovery situation, ensuring that the performance evaluation is more accurate and targeted. By comprehensively considering the changes in vegetation cover in each target area, the management can promptly identify which areas are affected by major disasters and avoid relying solely on pre-disaster data to make overly optimistic or pessimistic judgments; this can formulate more reasonable restoration goals and assessment standards for each target area, making performance evaluation more fair and scientific, and facilitating the rational allocation of resources and the precise adjustment of restoration strategies to maximize restoration effects; in addition, reasonable performance evaluation can motivate the project management team to take flexible and effective measures according to actual conditions, improve the overall efficiency and effectiveness of ecological restoration work, ensure the smooth progress of the project and achieve the expected ecological restoration goals.

[0049] In one embodiment, the steps of analyzing the remote sensing image to determine the soil damage value of the target area include: using the SIFT algorithm to align the space of the remote sensing images of the target area before and after the disaster; and extracting the digital elevation model of the target area before and after the disaster from the aligned remote sensing images;

[0050] Extract the elevation values ​​of each pixel before and after the disaster from the digital elevation models before and after the disaster, and calculate the absolute difference between the elevation values ​​before and after the disaster as the elevation change value of each pixel;

[0051] The soil damage value of the target area is calculated based on the elevation change value of each pixel and the actual area corresponding to the pixel. The calculation formula is: , where is the soil damage value of the corresponding target area, For the The elevation change value of each pixel, For the The actual area corresponding to the pixel, is the total number of pixels. It should be noted that the use of the SIFT (Scale-Invariant Feature Transform) algorithm to spatially align remote sensing images before and after a disaster begins by extracting key points from the two images. These key points are typically unique features in the image, such as corners, edges, or textures. These features remain stable at different scales and rotations, ensuring that corresponding matching points can be found regardless of changes to the image (such as changes in terrain). After extracting these key features through the SIFT algorithm, the descriptors of the feature points are then used for matching, usually using a nearest neighbor matching algorithm (such as brute force matching or FLANN matcher) to find the same or similar feature point pairs in the two images; after the matching is completed, the pre-disaster and post-disaster remote sensing images can be accurately aligned by calculating the spatial transformation between these matching points (such as affine transformation or homography matrix); the benefit of this process is that even if the image is deformed due to post-disaster scene changes (such as soil erosion and flood-changed terrain), the SIFT algorithm can still effectively identify and align these changed areas to ensure the spatial position consistency of the image; through precise alignment, erroneous analysis caused by image deviation can be avoided, thereby providing more accurate data support for subsequent soil damage value calculations.

[0052] It should be noted that extracting a digital elevation model (DEM) from aligned remote sensing images and obtaining pre- and post-disaster DEMs requires first obtaining elevation data using remote sensing image processing software or programming tools (such as ArcGIS, QGIS, or the GDAL library in Python). Remote sensing images, especially those acquired from satellites, typically contain data that can be converted into DEMs. This elevation data represents surface elevation information, typically with an elevation value associated with each pixel in the model. After the pre- and post-disaster remote sensing images have been precisely aligned using the SIFT algorithm, elevation information can be directly extracted from these two images to generate pre- and post-disaster DEMs. After extracting the DEMs, the next step is to extract the elevation value corresponding to each pixel in the DEM. This step is typically accomplished by analyzing the pixel data in the model, where each pixel is mapped to a geographic location, resulting in a corresponding elevation value. In the pre- and post-disaster images, the elevation values ​​for each pixel can be obtained and compared.

[0053] The benefit of this process is that it can accurately capture the topographic changes caused by disasters, such as soil loss or subsidence, thereby providing a quantitative basis for subsequent soil damage assessment.

[0054] By comparing these elevation change values, we can determine the specific impact of the disaster on the land, help assess whether the restoration process has been disrupted, and ensure that subsequent recovery measures are more targeted and effective. The accuracy of this operation is directly related to the evaluation of the restoration effect, which in turn affects the decision-making and adjustment of environmental restoration projects. It should be noted that the pixel refers to the pixel of the digital elevation model (DEM), which refers to the basic unit of each grid in the digital elevation model (DEM), usually a rectangular or square unit. In the DEM, each pixel represents the height value of a specific geographical location, usually the surface elevation of the area.

[0055] A DEM represents terrain elevation by dividing the Earth's surface into a grid of small pixels. This data is typically acquired using remote sensing technologies such as LiDAR and satellite imagery. Each pixel corresponds to a specific surface area, which depends on the DEM's spatial resolution. For example, in a 1-meter-resolution DEM, each pixel represents the elevation of a 1-meter-by-1-meter surface area.

[0056] It should be noted that the actual area corresponding to each pixel refers to the actual ground area represented by each DEM pixel in geographic space. Since DEMs are extracted from remote sensing images, and remote sensing images are typically captured and processed at a certain resolution (such as 30 meters or 10 meters), the actual area of ​​each pixel is closely related to its spatial resolution. For example, if the resolution of a remote sensing image is 30 meters, then the actual ground area represented by each pixel is 30 meters x 30 meters, or 900 square meters. The specific actual area corresponding to each pixel can be directly calculated based on the image resolution, so the details will not be repeated here.

[0057] It should be noted that a greater soil damage value indicates a compromised environmental restoration status in the target area. This is because a greater absolute difference in elevation between pre- and post-disaster elevation indicates significant post-disaster topographical changes, implying significant soil erosion, erosion, or loss, leading to a decrease in the land's carrying capacity and resilience. Increased elevation change also leads to greater damage to soil structure and quality, posing a greater challenge for environmental restoration in the area and requiring more time, resources, and measures to restore soil stability and ecological functions. Failure to fully consider the impact of post-disaster soil damage in subsequent performance assessments, instead directly evaluating them based on pre-disaster standards, will distort assessment results. This is because the altered soil structure and function after the disaster make it impossible to accurately reflect restoration effectiveness using the original standards. Even if restoration work progresses normally and appears to be in compliance, it may not actually achieve the pre-restoration ecological balance. This is because the elevation changes and soil loss caused by the disaster alter critical environmental conditions during the restoration process. Ignoring this, managers may misjudge restoration effectiveness, resulting in wasted resources or incorrect adjustments to restoration plans.

[0058] In one implementation, analyzing the soil damage values ​​in the target area can provide a more accurate basis for environmental remediation performance index assessments, ensuring that the assessment results are more targeted and effective. By quantifying the degree of soil damage, remediation targets and standards can be adjusted based on the actual conditions of the affected area, allowing for a more reasonable assessment of remediation progress and effectiveness. This analysis helps identify areas that are severely affected and difficult to restore, allowing for the timely implementation of more effective remediation measures, optimizing resource allocation, avoiding misjudgments and waste of resources due to mismatched assessment standards, and ultimately improving the management efficiency and effectiveness of the entire remediation project.

[0059] In one embodiment, the rainfall amount in the target area after the disaster is obtained, and the rainfall amount is divided by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area;

[0060] It should be noted that the rainfall and target area data involved in the above calculations can be obtained in a variety of ways. Rainfall data can usually be obtained through field observations at weather stations, meteorological satellites (such as MODIS or GPM), or meteorological models (such as precipitation prediction models).

[0061] This data provides information on precipitation over a specific time period, typically measured in millimeters, and can be accessed through meteorological databases or online meteorological platforms. The area of ​​the target regions can be determined using Geographic Information Systems (GIS) technology. The boundaries and corresponding area of ​​each target region, typically measured in square meters (m²) or square kilometers (km²), can be extracted from remote sensing imagery or topographic data. This data can be analyzed and processed using existing GIS platforms (such as ArcGIS or QGIS) to ensure accurate target region demarcation and area calculations, providing the foundational data for subsequent rainfall impact calculations.

[0062] It should be noted that a greater rainfall impact value in a target area indicates a greater degree of damage to that area, impacting the environmental restoration status of that area. This can lead to misjudgments in the next phase of the forest ecological zone's environmental restoration performance indicator assessment, resulting in inaccurate performance assessment results and, in turn, impacting project management decisions. This is because increased rainfall typically indicates that the target area has experienced heavier precipitation, potentially leading to soil erosion, excess water, or flooding, all of which can seriously disrupt the ecological restoration process. Excessive rainfall can wash away restored vegetation, degrading soil quality and even causing soil erosion, impacting vegetation growth and stability. When the rainfall impact value is large, it means that the target area faces more complex restoration challenges, which may have a greater impact on the speed and effect of ecological restoration; however, if the negative impact of post-disaster precipitation on the ecological restoration of the target area is not fully considered in the subsequent performance appraisal, and it is still evaluated according to normal standards, the restoration progress of the target area may be misjudged; for example, the management may believe that the recovery progress of the target area is slow, thereby lowering the performance score of the area, resulting in excessive intervention or unreasonable resource allocation, and may even affect the adjustment of the restoration strategy; therefore, ignoring the actual impact of rainfall on vegetation restoration may lead to distortion of performance appraisal results, which in turn affects the effective implementation of the overall ecological restoration project and the accuracy of decision-making.

[0063] One approach to this is to analyze the vegetation cover impact value of target areas for the rational assessment of environmental restoration performance indicators. By quantifying the impact of rainfall on each area, it is possible to identify areas facing increased restoration challenges due to excessive precipitation, thereby avoiding misjudgments based solely on pre-disaster or standardized assessment methods. Rainfall impact values ​​can provide a dynamic, context-based reference for performance evaluation, helping managers to more scientifically adjust restoration goals and measures. For example, for target areas with larger rainfall impact values, managers can appropriately relax assessment standards, granting more restoration time and resources, ensuring an objective assessment of the project's actual progress. This evaluation method can avoid irrational resource allocation and excessive intervention, improve the overall efficiency of ecological restoration efforts, and ensure that restoration work can achieve better results under different environmental conditions. Therefore, as an important reference indicator, rainfall impact values ​​can help achieve more fair and reasonable performance evaluations, thereby promoting the sustainable development of the entire forest ecological restoration project.

[0064] In one embodiment, the steps of calculating the disaster impact value of the target area based on the vegetation cover impact value, soil damage value, and rainfall impact value of the target area are: Where, is the disaster impact value, 、 and are the vegetation coverage impact value, soil damage value and rainfall impact value of the target area respectively. They are 、 and The preset scaling factor of are all greater than 0; it should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.3, 0.3, 0.4 respectively, or other numbers, and there is no specific limitation. In addition, before calculating the disaster impact value of the target area, the vegetation cover impact value, soil damage value and rainfall impact value of the target area need to be normalized. Commonly used normalization methods include Min-Max normalization, Z-Score standardization, etc. The specific method is selected by professionals according to the actual situation and is not limited or elaborated on.

[0065] In one embodiment, comparing the disaster impact value of the target area with a preset disaster impact value gradient threshold, and determining the disaster severity level of the target area based on the comparison result includes:

[0066] Compare the disaster impact value of the target area with the preset disaster impact value threshold. If the disaster impact value of the target area is less than the first preset disaster impact value threshold, the disaster severity level of the corresponding target area is recorded as low.

[0067] If the disaster impact value of the target area is not less than the first threshold value of the preset disaster impact value but less than the second threshold value of the preset disaster impact value, the disaster severity level of the corresponding target area is recorded as medium;

[0068] If the disaster impact value of the target area is not less than the preset second threshold value of the disaster impact value, the disaster severity level of the corresponding target area will be recorded as a high level.

[0069] It should be noted that the preset first threshold value of the disaster impact value and the preset second threshold value of the disaster impact value are both set by professionals based on actual conditions, and the preset first threshold value of the disaster impact value is lower than the preset second threshold value of the disaster impact value, and no specific limitation or elaboration is given;

[0070] In one embodiment, the performance evaluation criteria for environmental restoration in the next phase of the corresponding natural project in the target area are determined based on different disaster severity levels, including:

[0071] When the disaster severity level of the target area is low, the performance evaluation standards for environmental restoration in the next phase of the natural project in the corresponding target area will still be implemented according to the originally set standards;

[0072] When the disaster severity level of the target area is medium, obtain the performance assessment indicators of environmental restoration in the next stage of the natural project and obtain the standard assessment values ​​corresponding to the indicators; obtain the preset adjustment values ​​corresponding to the disaster impact values ​​of the target area and calculate the new assessment values ​​corresponding to the indicators. The calculation formula is: , where is the new assessment value corresponding to the indicator, is the standard assessment value corresponding to the indicator, is the preset adjustment value corresponding to the disaster impact value of the target area, , and evaluate the project according to the new assessment value.

[0073] It should be noted that the preset adjustment value corresponding to the disaster impact value of the target area is set by professionals based on experience and actual conditions according to the actual difficulty of post-disaster repair, regional characteristics and the complexity of environmental restoration. In general, the preset adjustment value is a function that is positively correlated with the disaster impact value, and the range of the preset adjustment value is generally greater than 0 and less than 1.

[0074] These preset adjustment values ​​reflect the relationship between the disaster impact value and the actual restoration progress and quality during the post-disaster environmental restoration process.

[0075] For example, for a target area with a larger disaster impact value, the preset adjustment value may be larger, such as 0.7, 0.8, etc., which means that the repair progress and quality requirements of the area will be relatively loose to adapt to its complex repair needs; the specific preset adjustment value depends on the actual situation and is not limited or elaborated. It should be noted that the preset adjustment value corresponding to the disaster impact value of the target area is set by professionals based on experience and actual conditions according to the actual difficulty of post-disaster repair, regional characteristics and the complexity of environmental restoration. In general, the preset adjustment value is a function that is positively correlated with the disaster impact value, and the preset adjustment value The range is generally greater than 0 and less than 1.

[0076] These preset adjustment values ​​reflect the relationship between the disaster impact value and the actual restoration progress and quality during the post-disaster environmental restoration process.

[0077] For example, for a target area with a larger disaster impact value, the preset adjustment value may be larger, e.g. 0.7, 0.8, etc., means that the repair progress and quality requirements in this area will be relatively loose to accommodate its complex repair needs; the specific preset adjustment value depends on the actual situation and is not limited or elaborated.

[0078] It should be noted that relevant environmental remediation performance evaluation indicators may include multiple dimensions, and specific indicators may involve progress indicators, quality indicators, etc.

[0079] Taking progress as an example, progress indicators may include the completion progress of environmental restoration work, the achievement of project phased goals, etc.; for example, taking the completion progress of environmental restoration work as an example, the standard value may be "in the next stage, the vegetation coverage rate will be restored by 15% based on the previous stage"; but due to the high level of disaster severity in the target area, the new assessment value corresponding to the indicator can be appropriately lowered, for example, the new assessment value is "in the next stage, the vegetation coverage rate will be restored by 3% to 5% based on the previous stage".

[0080] For different indicators, the corresponding assessment value standards can be appropriately lowered according to the disaster impact value to ensure the rationality of the assessment and tolerate deviations in the repair effect. This adjustment ensures the rationality of the assessment standards under different disaster severity levels and avoids inaccurate evaluation results due to overly stringent standards.

[0081] In one implementation method, through the above method, adjustments can be made to the environmental restoration performance indicator assessment of the forest ecological area in the next stage according to the actual situation, so that the performance assessment judgment of the project in the next stage is reasonable and correct, reducing the influence of the management on the project decision.

[0082] In one embodiment, the performance evaluation criteria for environmental restoration in the next phase of the corresponding natural project in the target area are determined based on different disaster severity levels and further include:

[0083] When the disaster severity level of the target area is high, the target area is divided into several sub-areas, and the disaster impact value of each sub-area is calculated; the standard deviation of the disaster impact values ​​of all sub-areas in the target area is calculated based on the disaster impact value of each sub-area, and the standard deviation is used as the disaster impact unevenness value of the target area;

[0084] Compare the target area's disaster impact unevenness value with the preset average value threshold. If the disaster impact unevenness value is not less than the preset average value threshold, the target area's disaster severity level will be re-recorded as medium and re-evaluated according to the evaluation criteria corresponding to the medium level.

[0085] If the uneven value of the disaster impact is less than the preset average value threshold, the performance assessment evaluation criteria for environmental restoration in the corresponding natural project in the target area in the next stage will be re-established for evaluation.

[0086] It should be noted that the preset mean value threshold is determined by professionals based on actual conditions and will not be limited or elaborated on in detail.

[0087] It should be noted that when the uneven value of disaster impact in the target area is large, it means that some sub-areas in the area have suffered more severe disaster impacts than other areas.

[0088] Typically, such heterogeneity indicates that some areas may have stronger self-recovery capabilities due to their unique natural conditions, topography, or ecosystem characteristics. For example, some areas may have better soil conditions, stronger vegetation recovery capabilities, or less post-disaster soil erosion. These areas can recover faster, thereby promoting the recovery process of the entire target area. Conversely, if the heterogeneity of post-disaster impact values ​​is small, it means that the impact of the disaster is evenly distributed throughout the target area, and all areas have similar levels of damage. In this case, the ecosystem recovery capacity of the entire region is weak, and there is a lack of "dominant areas" capable of self-recovery. Therefore, post-disaster recovery is more difficult and requires more external intervention and restoration resources.

[0089] Therefore, a large unevenness in the disaster impact value usually implies a stronger potential for post-disaster self-repair, while a uniform impact value means that post-disaster recovery requires more external support; therefore, when the unevenness value of the disaster impact is less than the preset uniformity threshold, it is assumed that the environmental restoration situation in the natural project has been completely affected by the disaster; therefore, in order to more reasonably and realistically reflect the actual restoration needs of the target area, professional staff must re-formulate the performance evaluation standards for the next stage to ensure that the evaluation results can accurately reflect the actual difficulties and required support for post-disaster environmental restoration, and provide scientific and effective guidance and basis for subsequent restoration work.

[0090] Based on the same inventive concept, the embodiment of the present invention also provides a natural resource project evaluation system based on performance assessment. Figure 2 , Figure 2 A framework diagram of a natural resource project evaluation system based on performance assessment provided by an embodiment of the present invention, the system includes:

[0091] The first impact module: The area where forest ecological environment restoration is being carried out is recorded as the target area. Remote sensing images of the target area before and after the disaster are obtained, and the remote sensing images are analyzed to determine the vegetation cover impact value and soil damage value of the target area;

[0092] Second impact module: obtain the rainfall in the target area after the disaster, and divide the rainfall by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area;

[0093] Disaster impact module: Calculates the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area; Project evaluation module: Compares the disaster impact value of the target area with the preset disaster impact value threshold, and determines the disaster severity level of the target area based on the comparison results, and determines the performance assessment evaluation standards for environmental restoration in the corresponding natural project in the next stage of the target area based on different disaster severity levels.

[0094] Based on the performance appraisal-based natural resource project evaluation system provided by the embodiment of the present invention, through the above-mentioned method, in the performance appraisal evaluation of environmental restoration projects in forest ecological areas, when the forest ecological area has experienced natural disasters such as typhoons, the environmental restoration performance index assessment of the forest ecological area in the next stage can be adjusted according to the actual situation, so that the performance appraisal judgment of the project in the next stage is reasonable and correct, reducing the influence of the management on the project decision-making.

[0095] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be used to artificially limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the application of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. The natural resource project evaluation method based on performance assessment is characterized by: The following steps are involved: The area where forest ecological environment restoration is being carried out is recorded as the target area. Remote sensing images of the target area before and after the disaster are obtained, and the remote sensing images are analyzed to determine the vegetation cover impact value and soil damage value of the target area; Obtain the rainfall in the target area after the disaster, and divide the rainfall by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area; Calculate the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area; Comparing the disaster impact value of the target area with the preset disaster impact value threshold, and determining the disaster severity level of the target area based on the comparison results, and determining the performance assessment evaluation criteria for environmental restoration in the corresponding natural project in the target area in the next stage based on different disaster severity levels; the disaster severity levels of the target area include low, medium and high levels; The steps for analyzing remote sensing images to determine the vegetation cover impact value of the target area are as follows: For the remote sensing images of the target area before and after the disaster, the near-infrared band pixel value and the red light band pixel value of each pixel are extracted from the remote sensing image to obtain the vegetation index of the corresponding pixel. , the calculation formula is: Where, and are the pixel values ​​of the near infrared band and the pixel values ​​of the red light band respectively; the sum of the vegetation index of all pixels in the corresponding remote sensing image is calculated to obtain the vegetation coverage value of the corresponding remote sensing image; The difference in vegetation coverage values ​​of the remote sensing images of the target area before and after the disaster is calculated, and the difference is divided by the vegetation coverage value of the remote sensing image before the disaster to obtain the vegetation coverage impact value of the corresponding target area.

2. The natural resource project evaluation method based on performance assessment according to claim 1 is characterized in that: The steps for analyzing remote sensing images to determine the soil damage value of the target area are: The SIFT algorithm is used to align the space of the remote sensing images of the target area before and after the disaster. The digital elevation models of the target area before and after the disaster are extracted from the aligned remote sensing images. The elevation values ​​before and after the disaster corresponding to each pixel are extracted from the digital elevation models before and after the disaster, and the absolute difference between the elevation values ​​before and after the disaster is calculated as the elevation change value of each pixel. The soil damage value of the target area is calculated based on the elevation change value of each pixel and the actual area corresponding to the pixel. The calculation formula is: Where, is the soil damage value of the corresponding target area, For the The elevation change value of each pixel, For the The actual area corresponding to the pixel, is the total number of pixels.

3. The natural resource project evaluation method based on performance assessment according to claim 2 is characterized in that: The steps for calculating the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area are as follows: Where, is the disaster impact value, and are the vegetation coverage impact value, soil damage value and rainfall impact value of the target area respectively. They are and The preset scaling factor of Both are greater than 0.

4. The natural resource project evaluation method based on performance assessment according to claim 1 is characterized in that: Compare the disaster impact value of the target area with the preset disaster impact value gradient threshold, and determine the disaster severity level of the target area based on the comparison results, including: Compare the disaster impact value of the target area with the preset disaster impact value threshold. If the disaster impact value of the target area is less than the first preset disaster impact value threshold, the disaster severity level of the corresponding target area is recorded as low. If the disaster impact value of the target area is not less than the first threshold value of the preset disaster impact value but less than the second threshold value of the preset disaster impact value, the disaster severity level of the corresponding target area is recorded as medium; If the disaster impact value of the target area is not less than the preset second threshold value of the disaster impact value, the disaster severity level of the corresponding target area will be recorded as a high level.

5. The natural resource project evaluation method based on performance assessment according to claim 1 is characterized in that: The performance evaluation criteria for environmental restoration in the next phase of the corresponding natural project in the target area are determined based on the severity of the disaster, including: When the disaster severity level of the target area is low, the performance evaluation standards for environmental restoration in the next phase of the natural project in the corresponding target area will still be implemented according to the originally set standards; When the disaster severity level of the target area is medium, obtain the performance assessment indicators of environmental restoration in the next stage of the natural project and obtain the standard assessment values ​​corresponding to the indicators; obtain the preset adjustment values ​​corresponding to the disaster impact values ​​of the target area and calculate the new assessment values ​​corresponding to the indicators. The calculation formula is: Where, is the new assessment value corresponding to the indicator, is the standard assessment value corresponding to the indicator, is the preset adjustment value corresponding to the disaster impact value of the target area, And evaluate the project according to the new assessment value.

6. The natural resource project evaluation method based on performance assessment according to claim 5 is characterized in that: The performance evaluation criteria for environmental restoration in the next phase of the corresponding natural project in the target area, determined based on the severity of the disaster, also include: When the disaster severity level of the target area is high, the target area is divided into several sub-areas, and the disaster impact value of each sub-area is calculated; the standard deviation of the disaster impact values ​​of all sub-areas in the target area is calculated based on the disaster impact value of each sub-area, and the standard deviation is used as the disaster impact unevenness value of the target area; Compare the target area's disaster impact unevenness value with the preset average value threshold. If the disaster impact unevenness value is not less than the preset average value threshold, the target area's disaster severity level will be re-recorded as medium and re-evaluated according to the evaluation criteria corresponding to the medium level. If the uneven value of the disaster impact is less than the preset average value threshold, the performance assessment evaluation criteria for environmental restoration in the corresponding natural project in the target area in the next stage will be re-established for evaluation.

7. A natural resource project evaluation system based on performance assessment, used to implement the natural resource project evaluation method based on performance assessment as described in any one of claims 1 to 6, characterized in that: The system includes: a first impact module: recording the area where forest ecological environment restoration is to be carried out as a target area, obtaining remote sensing images of the target area before and after the disaster, and analyzing the remote sensing images to determine the vegetation cover impact value and soil damage value of the target area; Second impact module: obtain the rainfall in the target area after the disaster, and divide the rainfall by the area of ​​the target area to obtain the rainfall impact value of the corresponding target area; Disaster impact module: Calculates the disaster impact value of the target area based on the vegetation cover impact value, soil damage value and rainfall impact value of the target area; Project evaluation module: Compare the disaster impact value of the target area with the preset disaster impact value threshold, and determine the disaster severity level of the target area based on the comparison results, and determine the performance assessment evaluation standards for environmental restoration in the corresponding natural projects in the target area in the next stage based on different disaster severity levels.

Images