Ecosystem restoration effect evaluation method and device, and storage medium

Abstract

The application provides an ecosystem restoration effect evaluation method and device and a storage medium, relates to the technical field of ecological restoration, and can evaluate the effect of ecosystem restoration. The method comprises the following steps: determining an ecosystem restoration effect index of a to-be-evaluated region based on multiple indexes of the to-be-evaluated region; the multiple indexes comprise a landform remodeling growth rate, a vegetation area growth rate, a vegetation density improvement rate, a soil index, a vegetation survival rate, a desertification change rate, and an acceptance satisfaction degree; and determining the grade of the effect of the ecosystem restoration of the to-be-evaluated region based on the ecosystem restoration effect index of the to-be-evaluated region. The higher the grade of the ecological restoration effect index is, the better the effect of the ecosystem restoration is.

Description

Technical Field

[0001] This application relates to the field of ecological restoration technology, and in particular to a method, apparatus and storage medium for evaluating the effect of ecosystem restoration. Background Technology

[0003] After the completion of existing long-distance oil and gas pipeline projects in ecologically fragile and sensitive areas, the main approach to soil and water conservation and ecological restoration is to adopt forestry and grassland measures. This involves planting drought-resistant, cold-resistant, and salt-tolerant fast-growing trees and pioneer shrubs and herbaceous plants that are tolerant of poor soil in the Gobi, desert, and loess plateau regions of Northwest China. In the planned areas suitable for afforestation, tree species with well-developed root systems, soil-fixing and nitrogen-fixing properties, and rapid growth are selected. Exposed slopes can be protected with wire mesh cages and covered with soil for greening, forming a vegetation landscape that is in harmony with nature.

[0004] Currently, there is still a lack of a reasonable evaluation method for determining the extent to which ecological restoration should occur after pipeline construction. Summary of the Invention

[0005] This application provides a method, apparatus, and storage medium for evaluating the effectiveness of ecosystem restoration, which can assess the effectiveness of ecosystem restoration.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] Firstly, this application provides a method for evaluating the effectiveness of ecosystem restoration. The method includes: determining an ecosystem restoration effectiveness index for the area to be evaluated based on multiple indicators; the multiple indicators include landform reshaping growth rate, vegetation area growth rate, vegetation density increase rate, soil indicators, vegetation survival rate, desertification change rate, and acceptance satisfaction; determining the level of ecosystem restoration effectiveness for the area to be evaluated based on the ecosystem restoration effectiveness index, wherein the higher the level of ecosystem restoration effectiveness, the stronger the ecosystem restoration effect.

[0008] The above technical solution brings at least the following beneficial effects: The ecosystem restoration effect assessment method provided in this application comprehensively considers multiple indicators to determine the ecosystem restoration effect index of the area to be assessed, making the ecosystem restoration effect index determined by the embodiments of this application more accurate and reliable. This allows the level of ecosystem restoration effect of the area to be assessed to be determined based on the ecosystem restoration effect index of the area to be assessed. Since the higher the level of ecosystem restoration effect, the stronger the ecosystem restoration effect, the assessment of the ecosystem restoration effect of the area to be assessed can be achieved through the level of ecosystem restoration effect. In other words, it achieves an effective assessment of the ecosystem restoration effect in the ecologically fragile area of ​​Northwest China after pipeline construction, so as to provide a data foundation for subsequent construction or ecological optimization.

[0009] In one possible implementation, the ecosystem restoration effectiveness index of the area to be evaluated is determined based on multiple indicators of the area to be evaluated, including: determining the score of each of the multiple indicators based on the multiple indicators of the area to be evaluated; and weighting and summing the scores of each indicator to obtain the ecosystem restoration effectiveness index of the area to be evaluated.

[0010] In one possible implementation, the landform reshaping growth rate satisfies the following formula:

[0011]

[0012] Among them, GR r GR represents the geomorphic reshaping growth rate, GR represents the geomorphic reshaping value of the area to be evaluated after construction, and GR′ represents the geomorphic reshaping value of the area to be evaluated before construction.

[0013] In one possible implementation, the vegetation area growth rate satisfies the following formula:

[0014]

[0015] Among them, VA r VA represents the vegetation area improvement rate, VA represents the vegetation area of ​​the area to be evaluated after construction, and VA′ represents the vegetation area of ​​the area to be evaluated before construction.

[0016] In one possible implementation, the survival rate of vegetation satisfies the following formula:

[0017]

[0018] Among them, VS r VS represents the survival rate of vegetation, VS represents the number of surviving plants in the area to be evaluated after construction, and VS′ represents the number of plants planted in the area to be evaluated before construction.

[0019] In one possible implementation, the desertification change rate satisfies the following formula:

[0020]

[0021] Among them, DI r DI represents the rate of desertification change, DI represents the rate of desertification in the area to be evaluated after construction, and DI′ represents the rate of desertification in the area to be evaluated before construction.

[0022] In one possible implementation, the rate of increase in species diversity satisfies the following formula:

[0023]

[0024] Among them, SI rSI represents the rate of increase in species diversity, SI represents the number of plant species in the area to be evaluated after construction, and SI′ represents the number of plant species in the area to be evaluated before construction.

[0025] In one possible implementation, the vegetation density increase rate satisfies the following formula:

[0026]

[0027] Among them, VD r VD represents the vegetation density increase rate, VD represents the vegetation density of the area to be evaluated after construction, and VD′ represents the vegetation density of the area to be evaluated before construction.

[0028] Secondly, this application provides an ecosystem restoration effect assessment device, which includes: a processing unit; the processing unit is used to determine the ecosystem restoration effect index of the area to be assessed based on multiple indicators of the area to be assessed; the multiple indicators include landform reshaping growth rate, vegetation area growth rate, vegetation density increase rate, soil indicators, vegetation survival rate, desertification change rate, and acceptance satisfaction; the processing unit is also used to determine the level of ecosystem restoration effect of the area to be assessed based on the ecosystem restoration effect index of the area to be assessed, the higher the level of ecosystem restoration effect, the stronger the ecosystem restoration effect.

[0029] In one possible implementation, the processing unit is further configured to determine the score of each of the multiple indicators based on multiple indicators of the area to be evaluated; the processing unit is further configured to perform a weighted summation of the scores of each indicator to obtain the ecosystem restoration effect index of the area to be evaluated.

[0030] In one possible implementation, the landform reshaping growth rate satisfies the following formula:

[0031]

[0032] Among them, GR r GR represents the geomorphic reshaping growth rate, GR represents the geomorphic reshaping value of the area to be evaluated after construction, and GR′ represents the geomorphic reshaping value of the area to be evaluated before construction.

[0033] In one possible implementation, the vegetation area growth rate satisfies the following formula:

[0034]

[0035] Among them, VA r VA represents the vegetation area improvement rate, VA represents the vegetation area of ​​the area to be evaluated after construction, and VA′ represents the vegetation area of ​​the area to be evaluated before construction.

[0036] In one possible implementation, the survival rate of vegetation satisfies the following formula:

[0037]

[0038] Among them, VS r VS represents the survival rate of vegetation, VS represents the number of surviving plants in the area to be evaluated after construction, and VS′ represents the number of plants planted in the area to be evaluated before construction.

[0039] In one possible implementation, the desertification change rate satisfies the following formula:

[0040]

[0041] Among them, DI r DI represents the rate of desertification change, DI represents the rate of desertification in the area to be evaluated after construction, and DI′ represents the rate of desertification in the area to be evaluated before construction.

[0042] In one possible implementation, the rate of increase in species diversity satisfies the following formula:

[0043]

[0044] Among them, SI r SI represents the rate of increase in species diversity, SI represents the number of plant species in the area to be evaluated after construction, and SI′ represents the number of plant species in the area to be evaluated before construction.

[0045] In one possible implementation, the vegetation density increase rate satisfies the following formula:

[0046]

[0047] Among them, VD r VD represents the vegetation density increase rate, VD represents the vegetation density of the area to be evaluated after construction, and VD′ represents the vegetation density of the area to be evaluated before construction.

[0048] Thirdly, this application provides an ecosystem restoration effect assessment device, which includes: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is used to run computer programs or instructions to implement the ecosystem restoration effect assessment method as described in the first aspect and any possible implementation of the first aspect.

[0049] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a terminal, cause the terminal to perform the ecosystem restoration effect assessment method as described in the first aspect and any possible implementation thereof.

[0050] Fifthly, this application provides a computer program product containing instructions that, when run on an ecosystem restoration effect assessment device, causes the ecosystem restoration effect assessment device to perform the ecosystem restoration effect assessment method as described in the first aspect and any possible implementation thereof.

[0051] In a sixth aspect, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run computer programs or instructions to implement the ecosystem restoration effect assessment method as described in the first aspect and any possible implementation thereof.

[0052] Specifically, the chip provided in this application also includes a memory for storing computer programs or instructions. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of the structure of an ecosystem restoration effect assessment device provided in an embodiment of this application;

[0054] Figure 2 A flowchart illustrating an ecosystem restoration effectiveness assessment method provided in this application embodiment;

[0055] Figure 3 This is a schematic diagram of another ecosystem restoration effect assessment device provided in an embodiment of this application. Detailed Implementation

[0056] The following description, in conjunction with the accompanying drawings, details the method, apparatus, and storage medium for evaluating the ecosystem restoration effect provided in the embodiments of this application.

[0057] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0058] The terms "first" and "second," etc., used in the specification and drawings of this application are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a specific order of objects.

[0059] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0060] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0061] In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0063] After the completion of existing long-distance oil and gas pipeline projects in ecologically fragile and sensitive areas, the main approach to soil and water conservation and ecological restoration is to adopt forestry and grassland measures. This involves planting drought-resistant, cold-resistant, and salt-tolerant fast-growing trees and pioneer shrubs and herbaceous plants that are tolerant of poor soil in the Gobi, desert, and loess plateau regions of Northwest China. In the planned areas suitable for afforestation, tree species with well-developed root systems, soil-fixing and nitrogen-fixing properties, and rapid growth are selected. Exposed slopes can be protected with wire mesh cages and covered with soil for greening, forming a vegetation landscape that is in harmony with nature.

[0064] Currently, there is still a lack of a reasonable evaluation method for determining the extent to which ecological restoration should occur after pipeline construction.

[0065] In view of this, the present application provides an ecosystem restoration effect assessment method, which comprehensively considers multiple indicators to determine the ecosystem restoration effect index of the area to be assessed, making the ecosystem restoration effect index determined by the present application more accurate and reliable. This allows for the subsequent determination of the level of ecosystem restoration effect of the area to be assessed based on the ecosystem restoration effect index. Since the higher the level of ecosystem restoration effect, the stronger the ecosystem restoration effect, the assessment of the ecosystem restoration effect of the area to be assessed can be achieved through the level of ecosystem restoration effect. In other words, it achieves an effective assessment of the ecosystem restoration effect in the ecologically fragile Northwest region after pipeline construction, so as to provide a data foundation for subsequent construction or ecological optimization.

[0066] Figure 1 This is a schematic diagram of the structure of an ecosystem restoration effect assessment device 10 provided in an embodiment of this application. Figure 1 As shown, the ecosystem restoration effect assessment device 10 may include a processor 101, a bus 102, a communication interface 103, and a memory 104.

[0067] Furthermore, the ecosystem restoration effect assessment device 10 may also include a communication interface 103 and a memory 104. The processor 101, memory 104, and communication interface 103 can be connected via a bus 102.

[0068] The processor 101 can be a CPU, a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 101 can also be other devices with processing capabilities, such as circuits, devices, or software modules, without limitation.

[0069] Bus 102 is used to transmit information between the components included in the ecosystem restoration effect assessment device 10.

[0070] Communication interface 103 is used to communicate with other devices or other communication networks. These other communication networks can be Ethernet, radio access network (RAN), wireless local area network (WLAN), etc. Communication interface 103 can be a module, circuit, communication interface, or any device capable of enabling communication.

[0071] Memory 104 is used to store instructions. These instructions can be computer programs.

[0072] The memory 104 can be a read-only memory (ROM) or other type of static storage device that can store static information and / or instructions; it can also be a random access memory (RAM) or other type of dynamic storage device that can store information and / or instructions; it can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, etc., without limitation.

[0073] It should be noted that the memory 104 can exist independently of the processor 101 or be integrated with the processor 101. The memory 104 can be used to store instructions, program code, or some data, etc. The memory 104 can be located inside or outside the ecosystem restoration effect assessment device 10, without limitation. The processor 101 is used to execute the instructions stored in the memory 104 to implement the blind detection method provided in the following embodiments of this application.

[0074] In one example, processor 101 may include one or more CPUs, for example, Figure 1 CPU0 and CPU1 in the CPU.

[0075] As an optional implementation, the ecosystem restoration effectiveness assessment device 10 includes multiple processors.

[0076] As an optional implementation, the ecosystem restoration effect assessment device 10 also includes output and input devices. The output and input devices are not shown in the figure.

[0077] In this embodiment of the application, the chip system may be composed of chips or may include chips and other discrete devices.

[0078] Furthermore, the actions, terms, etc., involved in the various embodiments of this application can be referenced interchangeably without limitation. The message names or parameter names in the messages used for interaction between devices in the embodiments of this application are merely examples, and other names may be used in specific implementations without limitation.

[0079] The following is combined with Figure 1 The illustrated ecosystem restoration effect assessment device describes the ecosystem restoration effect assessment method provided in this application embodiment. The actions, terminology, etc., involved in the various embodiments of this application can be referenced interchangeably without limitation. The message names or parameter names in the messages interacting between the various devices in the embodiments of this application are merely examples; other names can be used in specific implementations without limitation. The actions involved in the various embodiments of this application are merely examples; other names can be used in specific implementations, such as replacing "included in" with "carried on" or "carried in," etc.

[0080] To address the problems existing in the prior art, this application proposes a method for evaluating the ecological restoration effect in ecologically fragile areas of Northwest China. This method comprehensively considers multiple ecological restoration effectiveness evaluation indicators, weights and sums the scores of each indicator to obtain an ecosystem restoration effectiveness index for the area to be evaluated, and uses a hierarchical function model to calculate the ecological restoration effectiveness, thus quantifying the ecological restoration effect. This makes the method more accurate and reliable in evaluating ecological restoration effectiveness, effectively assessing the ecological restoration effect in ecologically fragile areas of Northwest China after pipeline construction, providing a clear result for the project, and thus offering a good reference for the ecological restoration evaluation of linear projects. Figure 2 As shown, the method includes:

[0081] S201. Electronic devices determine the ecosystem restoration effect index of the area to be evaluated based on multiple indicators of the area to be evaluated.

[0082] Several indicators are included, such as the landform reshaping growth rate, vegetation area growth rate, vegetation density growth rate, soil indicators, vegetation survival rate, desertification change rate, and acceptance satisfaction.

[0083] In one alternative implementation, the process of S201 can be as follows: the electronic device determines the score of each of the multiple indicators based on multiple indicators of the area to be evaluated, and performs a weighted summation of the scores of each indicator to obtain the ecosystem restoration effect index of the area to be evaluated.

[0084] The following provides a detailed explanation of the landform reshaping growth rate and landform reshaping score.

[0085] In one optional implementation, the process of determining landform reshaping using electronic devices can be as follows: The electronic devices assign values ​​to the landform reshaping values ​​of the area to be evaluated after construction based on factors such as the post-construction landform restoration, slope stability, vegetation growth suitability, and drainage measures. The electronic devices then determine the landform reshaping growth rate based on the post-construction landform reshaping values ​​and the original landform values ​​before construction. Finally, the electronic devices determine the landform reshaping score based on the range within which the determined landform reshaping growth rate falls.

[0086] Alternatively, the landform reshaping growth rate can satisfy the following formula 1:

[0087]

[0088] Among them, GR r GR represents the geomorphic reshaping growth rate, GR represents the geomorphic reshaping value of the area to be evaluated after construction, and GR′ represents the original geomorphic value of the area to be evaluated before construction.

[0089] For example, Table 1 shows the value range of the landform reshaping growth rate and the landform reshaping score provided in the embodiments of this application. As shown in Table 1, the electronic device can divide the landform reshaping growth rate into three value ranges based on experience or other information, for example, range [5%, +∞), range [-5%, 5%), and range (-∞, 5%).

[0090] Table 1. Geomorphological Reshaping Scoring Table

[0091] Value range index Indicator Score Range Landscape Reshaping Rating 1 [5％，+∞) 10 2 [-5％，5％) <![CDATA[8+2×GR r / 5%]]> 3 (-∞，-5％) 0

[0092] Optionally, based on the geomorphological reshaping scoring scale, when GFR is greater than or equal to 5%, the geomorphological reshaping index score is out of 10 points. r When the value is greater than or equal to -5% and less than 5%, GR will be... r Substituting into Formula 2, we obtain the landform reshaping index score. When GR r When the value is less than -5%, the geomorphic reshaping index score is 0.

[0093] Formula 2 (8+2×GRr / 5%) provides a detailed explanation of the vegetation area growth rate and vegetation area score.

[0094] In one optional implementation, the process of determining vegetation area using electronic devices can be as follows: The electronic devices assign values ​​to the vegetation area of ​​the area to be evaluated after construction based on the increase and decrease in vegetation area after construction, and determine the vegetation area improvement rate based on the vegetation area of ​​the area to be evaluated after construction and the original vegetation area of ​​the area to be evaluated before construction. The electronic devices then determine a vegetation area score based on the range within which the determined vegetation area growth rate falls.

[0095] Alternatively, the vegetation area growth rate can satisfy the following formula 3:

[0096]

[0097] Among them, VA r VA represents the vegetation area improvement rate, VA represents the vegetation area of ​​the area to be evaluated after construction, and VA′ represents the original vegetation area of ​​the area to be evaluated before construction.

[0098] For example, Table 2 shows the range of vegetation area growth rate and vegetation area score provided in the embodiments of this application. As shown in Table 2, the electronic device can divide the vegetation area growth rate into three ranges based on experience or other information, for example, range [5%, +∞), range [-5%, 5%), and range (-∞, 5%).

[0099] Table 2 Vegetation Area Scoring Table

[0100] Value range index Indicator Score Range Vegetation area score 1 [5％，+∞) 200 2 [-5％，5％) <![CDATA[16+4×VA r / 5%]]> 3 (-∞，-5％) 0

[0101] Optional, in conjunction with the vegetation area rating scale, VA r When the vegetation area is greater than or equal to 5%, the vegetation area index score is 20 points. (VA) r When VA is greater than or equal to -5% and less than 5%, r Substituting into Formula 4, we obtain the vegetation area index score. When VA r When the vegetation area is less than -5%, the vegetation area index score is 0.

[0102] Formula 4 below provides a detailed explanation of the vegetation density increase rate and vegetation density score.

[0103] In one alternative implementation, the process of determining vegetation density by electronic devices can be as follows: the electronic devices assign a value to the vegetation density of the area to be evaluated after construction based on the recovery of vegetation density in the area to be evaluated after construction, and determine the vegetation density improvement rate based on the vegetation density of the area to be evaluated after construction and the original vegetation density of the area to be evaluated before construction. The electronic devices determine the vegetation density score according to the range in which the above-determined vegetation density growth rate falls.

[0104] Alternatively, the vegetation density growth rate can satisfy the following formula 5:

[0105]

[0106] Among them, VD r VD represents the vegetation density increase rate, VD represents the vegetation density of the area to be evaluated after construction, and VD′ represents the original vegetation density of the area to be evaluated before construction.

[0107] For example, Table 3 shows the value range of the vegetation density growth rate and the vegetation density score provided in the embodiments of this application. As shown in Table 3, the electronic device can divide the vegetation density growth rate into three value ranges based on experience or other information, for example, the range [5%, +∞), the range [-5%, 5%), and the range (-∞, 5%).

[0108] Table 3 Vegetation Density Scoring Table

[0109] Value range index Indicator Score Range Vegetation density score 1 [5％，+∞) 18 2 [-5％，5％) <![CDATA[15+3×VD r / 5%]]> 3 (-∞，-5％) 0

[0110] Optional, in conjunction with a vegetation density rating scale, VD r When the vegetation density is greater than or equal to 5%, the vegetation density index score is 18 points. r When VD is greater than or equal to -5% and less than 5%, r Substituting into Formula 6, we obtain the vegetation density index score. When VD r When the vegetation density is less than -5%, the vegetation density index score is 0.

[0111] Formula 6 (15+3×VDr / 5%) provides a detailed explanation of soil indicators and soil scores.

[0112] In one alternative implementation, the process of determining soil by electronic devices can be as follows: the electronic devices assign a value to the richness of plant species in the area to be evaluated after construction based on the soil conditions after construction, and determine the species diversity enhancement rate based on the richness of plant species in the area to be evaluated after construction and the original plant species richness in the area to be evaluated before construction. The electronic devices then determine the soil score based on the range in which the determined species diversity enhancement rate falls.

[0113] Alternatively, the rate of increase in species diversity can satisfy the following formula 7:

[0114]

[0115] Among them, SI r SI represents the rate of increase in species diversity, SI represents the richness of plant species in the area to be evaluated after construction, and SI′ represents the richness of original plant species in the area to be evaluated before construction.

[0116] For example, Table 4 shows the range of species diversity enhancement rate and soil score provided in the embodiments of this application. As shown in Table 4, the electronic device can divide the species diversity enhancement rate into three ranges based on experience or other information, for example, range [5%, +∞), range [-5%, 5%), and range (-∞, 5%).

[0117] Table 4 Soil Scoring Table

[0118]

[0119]

[0120] Optional, in conjunction with the soil scoring scale, SI r When the content is greater than or equal to 5%, the soil index score is 20 points. r When the value is greater than or equal to -5% and less than 5%, SI will be... r Substituting into Formula 8 yields the soil index score; when SI r When the soil concentration is less than -5%, the soil index score is 0.

[0121] Formula 8 (16+4×SIr / 5%) provides a detailed explanation of the rate of change in species diversity and the species diversity score.

[0122] In one alternative implementation, the process of determining species diversity by electronic devices can be as follows: the electronic devices assign values ​​to the number of species in the area to be evaluated after construction based on the changes in plant species in the area to be evaluated, and determine the species diversity change rate based on the number of species in the area to be evaluated after construction and the original number of species in the area to be evaluated before construction. The electronic devices then determine the species diversity score based on the range in which the determined species diversity improvement rate falls.

[0123]

[0124] Among them, DS r DS represents the rate of change in species diversity, DS represents the number of species in the area to be evaluated after construction, and DS′ represents the original number of species in the area to be evaluated before construction.

[0125] For example, Table 5 shows the range of species diversity enhancement rate and species diversity score provided in the embodiments of this application. As shown in Table 5, the electronic device can divide the landform reshaping growth rate into three ranges based on experience or other information, for example, range [10%, +∞), range [-10%, 10%), and range (-∞, -10%).

[0126] Table 5 Species Diversity Scoring Table

[0127] Value range index Indicator Score Range Species diversity score 1 [10％，+∞) 10 2 [-10％，10％) <![CDATA[8+2×DS r / 10%]]> 3 (-∞，-10％) 0

[0128] Optional, in conjunction with a species diversity scoring scale, DS r When the diversity percentage is greater than or equal to 10%, the species diversity index score is out of 10. r When DS is greater than or equal to -10% and less than 10%, r Substituting into Formula 10 yields the species diversity index score, when DS r When the percentage is less than -10%, the species diversity index score is 0.

[0129] 8+2×DS r The following section provides a detailed explanation of the vegetation survival rate and its scoring, using the formula 10. (5%)

[0130] In one alternative implementation, the process of determining the vegetation survival rate by electronic devices can be as follows: the electronic devices assign values ​​to the number of surviving plants in the area to be evaluated after construction based on the survival status of the plants in the area to be evaluated after construction, and determine the vegetation survival rate based on the number of surviving plants in the area to be evaluated after construction and the number of plants planted in the area to be evaluated before construction. The electronic devices then determine the vegetation survival rate score based on the range in which the above-determined vegetation survival rate falls.

[0131] Alternatively, the vegetation survival rate can satisfy the following formula 11:

[0132]

[0133] Among them, VS r VS represents the survival rate of vegetation, VS represents the number of surviving plants in the area to be evaluated after construction, and VS′ represents the number of plants planted in the area to be evaluated before construction.

[0134] Optionally, vegetation may include trees, shrubs, grasslands, and other vegetation, which is not limited in this application embodiment.

[0135] For example, Table 6 shows the range of vegetation survival rate and vegetation survival rate score provided in the embodiments of this application. As shown in Table 6, the electronic device can divide the vegetation survival rate into three ranges based on experience or other information, for example, range [10%, +∞), range [-10%, 10%), and range (-∞, 10%).

[0136] Table 6. Vegetation Survival Rate Scoring Table

[0137] Value range index Indicator Score Range Vegetation survival rate score 1 [10％，+∞) 12 2 [-10％，10％) <![CDATA[10+2×VS r / 10%]]> 3 (-∞，-10％) 0

[0138] Optional, in conjunction with the vegetation survival rate scoring table, VS r When the survival rate is greater than or equal to 10%, the vegetation survival rate index is scored out of 12 points. r When the value is greater than or equal to -10% and less than 10%, the VS value will be... r Substituting into Formula 12, we obtain the vegetation survival rate index score. When VS r When the survival rate is less than -10%, the vegetation survival rate score is 0.

[0139] Formula 12 (10+2×VSr / 10%) provides a detailed explanation of the desertification change rate and desertification score.

[0140] In one alternative implementation, the process of determining desertification by electronic devices can be as follows: based on the changes in desertification rate after the construction of the project and the ecological restoration measures, the electronic devices assign a value to the desertification rate of the area to be evaluated after the construction, and determine the desertification change rate based on the desertification rate of the area to be evaluated after the construction and the desertification rate of the area to be evaluated before the construction. The electronic devices then determine the desertification score based on the range in which the above-determined desertification change rate falls.

[0141] Alternatively, the desertification change rate can satisfy the following formula 13:

[0142]

[0143] Among them, DI rDI represents the rate of desertification change, DI represents the rate of desertification in the area to be evaluated after construction, and DI′ represents the rate of desertification within the original work zone of the area to be evaluated before construction.

[0144] For example, Table 7 shows the range of values ​​for the desertification change rate and the desertification score provided in the embodiments of this application. As shown in Table 7, the electronic device can divide the desertification change rate into three value ranges based on experience or other information, for example, the range [10%, +∞), the range [-10%, 10%), and the range (-∞, 10%).

[0145] Table 7 Desertification Scoring Table

[0146] Value range index Indicator Score Range Desertification rating 1 (-∞，-10％) 5 2 [-10％，10％) <![CDATA[4+1×DI r / 10%]]> 3 [10％，+∞) 0

[0147] Optionally, combined with desertification (DI) r ) rating sheet, DI r When the desertification rate is greater than or equal to 10%, the desertification index score is 5 points, DI r When DI is greater than or equal to -10% and less than 10%, r Substituting into Formula 14 yields the desertification index score, when DI r When the desertification index is less than -10%, the score is 0.

[0148] Formula 14 (4+1×DIr / 10%) provides a detailed explanation of acceptance satisfaction and acceptance satisfaction scoring.

[0149] In one alternative implementation, the process of determining acceptance satisfaction by electronic devices can be as follows: the electronic devices assign a satisfaction value to the ecological restoration of the area to be evaluated after construction during project acceptance, and the electronic devices determine the acceptance satisfaction score based on the range in which the above-determined acceptance satisfaction falls.

[0150] For example, Table 8 shows the range of acceptance satisfaction values ​​and the acceptance satisfaction score provided in the embodiments of this application. As shown in Table 8, the electronic device can divide the acceptance satisfaction into four ranges based on experience or other information, for example, range [90%, +∞), range [80%, 90%), range [60%, 70%), and range (-∞, 60%).

[0151] Table 8 Acceptance Satisfaction (SBr) Scoring Table

[0152] Value range index Indicator Score Range Acceptance satisfaction rating 1 [90％，+∞) 5 2 [80％，90％) 4 3 [60％，70％) 3 4 (-∞，60％) 0

[0153] Optional, combined with acceptance satisfaction (SB) r Rating sheet, SB r When the acceptance rate is greater than or equal to 90%, the acceptance satisfaction index score is 5 points. rWhen the acceptance rate is greater than or equal to 80% but less than 90%, the acceptance satisfaction index score is 4 points, SB. r When the acceptance satisfaction rate is greater than or equal to 60% but less than 80%, the acceptance satisfaction index score is 3 points. r When the acceptance rate is 60%, the acceptance satisfaction score is 0.

[0154] The following details the process of weighted summation of the scores of each indicator by electronic devices to obtain the ecosystem restoration effect index of the area to be evaluated.

[0155]

[0156] Among them, ERI i The i-th indicator of the ecosystem restoration effectiveness index is represented by i, where i represents the indicator number and n represents the number of indicators. ERI represents the ecosystem restoration effectiveness index.

[0157] S202. Electronic equipment determines the effectiveness level of ecosystem restoration in the area to be assessed based on the ecosystem restoration effectiveness index of the area to be assessed.

[0158] Among them, the higher the effectiveness level of ecosystem restoration, the stronger the ecosystem restoration effect.

[0159] For example, Table 9 shows the value range of the ecosystem restoration effect index score and the effectiveness level of the ecosystem restoration effect provided in the embodiments of this application. As shown in Table 9, the electronic device can divide the ecosystem restoration effect index score into four value ranges based on experience or other information, such as range [90, 100], range [80, 90], range [60, 80], and range [0, 60].

[0160] Table 9. Effectiveness Levels of Ecosystem Restoration

[0161] Value range index Index scoring range Effectiveness Level 1 [90，100] excellent 2 [80，90) good 3 [60，80) qualified 4 [0，60) Unqualified

[0162] Optionally, based on the grading table of ecosystem restoration effectiveness, when the ecosystem restoration effectiveness index score is greater than or equal to 0 and less than 60, the effectiveness level of the ecosystem restoration is unqualified; when the ecosystem restoration effectiveness index score is greater than or equal to 60 and less than 80, the effectiveness level of the ecosystem restoration is qualified; when the ecosystem restoration effectiveness index score is greater than or equal to 80 and less than 90, the effectiveness level of the ecosystem restoration is good; and when the ecosystem restoration effectiveness index score is greater than or equal to 90 and less than or equal to 100, the effectiveness level of the ecosystem restoration is excellent.

[0163] This application proposes a method for evaluating the effectiveness of ecosystem restoration. It comprehensively considers multiple indicators to determine the ecosystem restoration effectiveness index of the area to be evaluated, making the ecosystem restoration effectiveness index determined by this application more accurate and reliable. This allows for the subsequent determination of the level of ecosystem restoration effectiveness in the area to be evaluated based on the ecosystem restoration effectiveness index. Since a higher level of ecosystem restoration effectiveness indicates a stronger ecosystem restoration effect, the evaluation of the ecosystem restoration effectiveness in the area to be evaluated can be achieved through the level of ecosystem restoration effectiveness. In other words, it enables an effective evaluation of the ecosystem restoration effectiveness in the ecologically fragile Northwest region after pipeline construction, providing a data foundation for subsequent construction or ecological optimization.

[0164] It is understood that the above-mentioned method for assessing the effectiveness of ecosystem restoration can be implemented by an ecosystem restoration effectiveness assessment device. To achieve the above functions, the ecosystem restoration effectiveness assessment device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, based on the modules and algorithm steps of the examples described in conjunction with the embodiments disclosed herein, the embodiments disclosed in this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments disclosed in this application.

[0165] The embodiments disclosed in this application can divide the ecosystem restoration effect assessment device generated by the above method examples into functional modules. For example, each function can be divided into its own functional modules, or two or more functions can be integrated into one processing module. The integrated modules can be implemented in hardware or as software functional modules. It should be noted that the module division in the embodiments disclosed in this application is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0166] Figure 3 This is a schematic diagram of an ecosystem restoration effect assessment device provided in an embodiment of the present invention. Figure 3 As shown, the ecosystem restoration effect assessment device 30 can be used to perform... Figure 2 The method for evaluating the effectiveness of ecosystem restoration is shown. The ecosystem restoration effectiveness evaluation device 30 includes a processing unit 302. Optionally, the ecosystem restoration effectiveness evaluation device 30 may also include a communication unit 301.

[0167] Processing unit 302 is used to determine the ecosystem restoration effect index of the area to be evaluated based on multiple indicators of the area to be evaluated. The multiple indicators include landform reshaping growth rate, vegetation area growth rate, vegetation density increase rate, soil indicators, vegetation survival rate, desertification change rate, and acceptance satisfaction. Processing unit 302 is also used to determine the level of ecosystem restoration effect of the area to be evaluated based on the ecosystem restoration effect index of the area to be evaluated. The higher the level of ecosystem restoration effect, the stronger the ecosystem restoration effect.

[0168] In one possible implementation, the processing unit 302 is further configured to determine the score of each of the multiple indicators based on multiple indicators of the area to be evaluated; the processing unit 302 is further configured to perform a weighted summation of the scores of each indicator to obtain the ecosystem restoration effect index of the area to be evaluated.

[0169] In one possible implementation, the landform reshaping growth rate satisfies the following formula:

[0170]

[0171] Among them, GR r GR represents the geomorphic reshaping growth rate, GR represents the geomorphic reshaping value of the area to be evaluated after construction, and GR′ represents the geomorphic reshaping value of the area to be evaluated before construction.

[0172] In one possible implementation, the vegetation area growth rate satisfies the following formula:

[0173]

[0174] Among them, VA r VA represents the vegetation area improvement rate, VA represents the vegetation area of ​​the area to be evaluated after construction, and VA′ represents the vegetation area of ​​the area to be evaluated before construction.

[0175] In one possible implementation, the survival rate of vegetation satisfies the following formula:

[0176]

[0177] Among them, VS r VS represents the survival rate of vegetation, VS represents the number of surviving plants in the area to be evaluated after construction, and VS′ represents the number of plants planted in the area to be evaluated before construction.

[0178] In one possible implementation, the desertification change rate satisfies the following formula:

[0179]

[0180] Among them, DI rDI represents the rate of desertification change, DI represents the rate of desertification in the area to be evaluated after construction, and DI′ represents the rate of desertification in the area to be evaluated before construction.

[0181] In one possible implementation, the rate of increase in species diversity satisfies the following formula:

[0182]

[0183] Among them, SI r SI represents the rate of increase in species diversity, SI represents the number of plant species in the area to be evaluated after construction, and SI′ represents the number of plant species in the area to be evaluated before construction.

[0184] In one possible implementation, the vegetation density increase rate satisfies the following formula:

[0185]

[0186] Among them, VD r VD represents the vegetation density increase rate, VD represents the vegetation density of the area to be evaluated after construction, and VD′ represents the vegetation density of the area to be evaluated before construction.

[0187] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0188] This disclosure also provides a computer-readable storage medium storing instructions that, when executed by a processor of an electronic device, enable the electronic device to perform the ecosystem restoration effect assessment method provided in the embodiments of this disclosure described above.

[0189] This disclosure also provides a computer program product containing instructions that, when run on an electronic device, cause the electronic device to execute the ecosystem restoration effect assessment method provided in the above-described embodiments of this disclosure.

[0190] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: electrical connections having one or more wires; portable computer disks; hard disks; random access memory (RAM); read-only memory (ROM); erasable programmable read-only memory (EPROM); registers; hard disks; optical fibers; portable compact disc read-only memory (CD-ROM); optical storage devices; magnetic storage devices; or any suitable combination thereof; or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in an application-specific integrated circuit (ASIC). In the embodiments of this application, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0191] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for evaluating the effectiveness of ecosystem restoration, characterized in that, include: The ecosystem restoration effect index of the area to be evaluated is determined based on multiple indicators, including landform reshaping growth rate, vegetation area growth rate, vegetation density increase rate, soil indicators, vegetation survival rate, desertification change rate, and acceptance satisfaction. The level of ecosystem restoration effect in the area to be evaluated is determined based on the ecosystem restoration effect index of the area to be evaluated. The higher the level of ecosystem restoration effect, the stronger the ecosystem restoration effect.

2. The method according to claim 1, characterized in that, The determination of the ecosystem restoration effectiveness index of the area to be evaluated based on multiple indicators includes: The score for each of the multiple indicators is determined based on the region to be evaluated; The scores of each indicator are weighted and summed to obtain the ecosystem restoration effect index of the area to be evaluated.

3. The method according to claim 1 or 2, characterized in that, The landform reshaping growth rate satisfies the following formula: Among them, GR r GR represents the landform reshaping growth rate, GR represents the landform reshaping value of the area to be evaluated after construction, and GR′ represents the landform reshaping value of the area to be evaluated before construction.

4. The method according to claim 1 or 2, characterized in that, The vegetation area growth rate satisfies the following formula: Among them, VA r VA represents the vegetation area improvement rate, VA represents the vegetation area of ​​the area to be evaluated after construction, and VA′ represents the vegetation area of ​​the area to be evaluated before construction.

5. The method according to claim 1 or 2, characterized in that, The survival rate of the vegetation satisfies the following formula: Among them, VS r VS represents the survival rate of the vegetation, VS represents the number of vegetation plants that survived in the area to be evaluated after construction, and VS′ represents the number of vegetation plants planted in the area to be evaluated before construction.

6. The method according to claim 1 or 2, characterized in that, The desertification change rate satisfies the following formula: Among them, DI r DI represents the rate of desertification change, DI represents the desertification rate of the area to be evaluated after construction, and DI′ represents the desertification rate of the area to be evaluated before construction.

7. The method according to claim 1 or 2, characterized in that, The rate of increase in species diversity satisfies the following formula: Among them, SI r SI represents the rate of increase in species diversity, SI represents the number of plant species in the area to be evaluated after construction, and SI′ represents the number of plant species in the area to be evaluated before construction.

8. The method according to claim 1 or 2, characterized in that, The vegetation density increase rate satisfies the following formula: Among them, VD r VD represents the vegetation density increase rate, VD represents the vegetation density of the area to be evaluated after construction, and VD′ represents the vegetation density of the area to be evaluated before construction.

9. An ecosystem restoration effect assessment device, characterized in that, include: A processor and a communication interface; the communication interface is coupled to the processor, the processor being used to run computer programs or instructions to implement the ecosystem restoration effect assessment method as described in any one of claims 1-8.

10. A computer-readable storage medium storing instructions, characterized in that, When the computer executes the instruction, the computer performs the ecosystem restoration effect assessment method as described in any one of claims 1-8.

Images