Search

CN-122022526-A - Evaluation method and platform for ecological restoration engineering

CN122022526ACN 122022526 ACN122022526 ACN 122022526ACN-122022526-A

Abstract

The invention provides an evaluation method and a platform for ecological restoration engineering, which belong to the technical field of ecological restoration evaluation and comprise the steps of obtaining engineering project files and simulating ecological restoration changes in different seasons of a target area; the method comprises the steps of combining a comparison table and a history database to determine seasonal protection requirements, necessary conditions and emergency incidents, establishing association between the seasonal protection requirements, the necessary conditions and the emergency incidents, determining the derivative conditions and the evaluation confidence of necessary objects, comparing simulation and theoretical change line locking protection weak mutation points, constructing input vectors, obtaining evaluation results through a vector evaluation analysis model, and generating dynamic optimization suggestions. The invention realizes the dynamic and accurate evaluation of ecological restoration engineering, improves the prospective of risk early warning and the practicality of optimization suggestion, and ensures the restoration effect.

Inventors

  • LI SEN
  • YU TENGFEI

Assignees

  • 中国科学院西北生态环境资源研究院

Dates

Publication Date
20260512
Application Date
20260203

Claims (8)

  1. 1. The evaluation method of the ecological restoration project is characterized by comprising the following steps: step 1, acquiring an engineering project file of an ecological restoration project, and simulating the ecological restoration project file to act on a target area, wherein the target area is based on ecological restoration simulation change conditions in different seasons; Step 2, determining the protection requirement of the target area based on each season and the necessary condition based on each protection requirement from an area-protection-season-condition comparison table, simultaneously, retrieving a historical engineering set similar to the area type and engineering project file of the target area from a historical database, and determining a plurality of emergency incidents by combining the geographic information of the target area, the ecological restoration simulation change condition of the corresponding season and the corresponding season dynamic management information; step 3, establishing the association relation between each emergency incident and each necessary condition, and determining the derivative condition and evaluation confidence of the necessary object in each necessary condition by combining the derivative damage factor of each emergency incident; step 4, extracting simulation change lines of each necessary condition under the corresponding seasons from the ecological restoration simulation change conditions of each season, comparing the simulation change lines with corresponding theoretical change lines, and locking protection weak mutation points in the simulation change lines; And 5, constructing an input vector based on the protection weak mutation points of each season by combining the corresponding necessary conditions according to the derivative conditions and the evaluation confidence coefficient related to each necessary condition, inputting the input vector into a vector evaluation analysis model to obtain an evaluation result of the ecological restoration project, generating a dynamic optimization project suggestion, and optimizing and adjusting the project file.
  2. 2. The method of evaluating an ecological restoration project according to claim 1, wherein determining a number of emergency events comprises: Determining engineering bias of each first clustering result, performing second clustering analysis on historical emergency events of all historical similar engineering in each first clustering result to obtain a time sequence penetration density line, an event emergency penetration line and an event emergency penetration line of each second clustering result, and constructing a penetration line matrix corresponding to the second clustering result; Determining a single representative vector subjected to standardization processing of each intersecting line matrix under the same first clustering result and a core representative vector subjected to standardization processing of all the intersecting line matrices according to a least square method; according to the geographic information of the target area, the ecological restoration simulation change condition of the corresponding season and the dynamic management information of the corresponding season, a simulation dynamic line, a maximum dynamic line and a minimum dynamic line which penetrate through a density line based on the time sequence are constructed, and a dynamic ternary matrix is constructed; meanwhile, determining a difference representative vector of a dynamic ternary matrix corresponding to each second aggregation result according to the least square method; The standard representative vector matched with the engineering bias is called, and according to the first similarity between the standard representative vector and the core representative vector, the second similarity between each single representative vector and the corresponding core representative vector under the corresponding same first clustering result is screened, and the screening representative vector is obtained by combining the first included angle between the standard representative vector and the core representative vector, the second included angle between each single representative vector and the standard representative vector, and the third included angle between the difference representative vector and the standard representative vector; taking all historical similar projects related to the screening representative vectors under each first clustering result as first projects, and counting first occurrence frequencies of each first project under all first clustering results and second occurrence frequencies of similar projects existing with each first project; And acquiring the historical actual emergency of each second project as an emergency.
  3. 3. The method for evaluating an ecological restoration project according to claim 1, wherein establishing an association of each emergency event with each requirement comprises: extracting the sudden factors of each emergency sudden event and the environmental factors which cause the sudden factors to generate, and extracting the generating factors of each necessary condition; and establishing association relation between the corresponding emergency and the necessary condition according to the prior condition probability of the generation factors and the environmental factors.
  4. 4. The method for evaluating an ecological restoration project according to claim 3, wherein determining the derivation condition and the evaluation confidence of the necessary object in each of the requirements comprises: Carrying out chain type transmission path analysis on the derivative damage factors of the emergency incident, identifying multistage transmission nodes of the derivative damage factors along biological communities and non-biological environments in an ecological system of a target area, and quantifying the influence weights of the nodes; acquiring real-time microecological monitoring data of a season corresponding to a target area, and correcting prior condition probability between a generating factor of the necessary condition and an environmental factor of an emergency incident on the basis of the influence weight of the multi-stage transfer node to obtain dynamic condition association probability; Extracting space-time coupling constraint characteristics of necessary objects corresponding to the necessary conditions by combining the terrain heterogeneity and seasonal climatic cycle characteristics of the target area, and meanwhile, comparing and analyzing the space-time coupling constraint characteristics with all associated relations related to the corresponding necessary conditions according to the existence attribute of each necessary object based on the corresponding necessary conditions to obtain a difference existence factor, wherein the existence attribute comprises existence necessity, existence stability and existence cooperativity; based on the dynamic condition association probability, matching a threshold interval under the corresponding space-time coupling constraint characteristic, and combining all difference existence factors of the corresponding necessary object, determining a derivative condition of the corresponding necessary object; And taking the dynamic condition association probability as a basic layer confidence coefficient, taking the sampling time resolution and the spatial coverage of the real-time micro-ecological monitoring data as a dynamic correction layer confidence coefficient, taking the chain transmission influence coverage of the derived damage factors as a chain influence layer confidence coefficient, and obtaining an evaluation confidence coefficient through hierarchical weighted fusion.
  5. 5. The method for evaluating an ecological restoration project according to claim 4, wherein the comparing and analyzing all the associated links related to the corresponding requirements to obtain a difference existence factor includes: Taking emergency events, necessary conditions and derived damage factors as nodes, taking the association strength among the nodes as weighted edges, and simultaneously marking the influence direction and aging attribute of each weighted edge to generate a weighted topological network with attribute labels; matching the three-dimensional dimension of the existence attribute with the node type of the topological network, matching the numerical value of the three-dimensional quantization vector with the intensity threshold value of the weighted edge of the topological network, and matching the time-space change characteristic of the existence attribute with the aging attribute of the edge of the topological network to obtain a matching difference value of three dimensions; and carrying out weighted fusion on the three-layer matching difference values according to the priority of dimension mismatch, strength super-threshold and aging mismatch, and simultaneously associating the ecological risk grades corresponding to the corresponding differences to generate a structured difference existence factor containing the difference values and the risk grades.
  6. 6. The method according to claim 5, wherein the influence direction comprises positive promotion and negative inhibition, and the aging property comprises instantaneous triggering and continuous action.
  7. 7. The method for evaluating an ecological restoration project according to claim 1, wherein locking the protection-to-weak mutation point in the simulation change line comprises: carrying out ecological level disassembly on the simulation change lines of the necessary conditions to obtain sub-change lines of a plurality of ecological levels; combining the original ecological background data of the target area, a successful theoretical baseline of the area history repair project and climate anomaly early warning data of the corresponding season, and dynamically generating a theoretical change line corresponding to each ecological level; comparing the sub-change lines of the same ecological level with the theoretical change lines, determining the deviation degree and the deviation duration of each sub-change line, and constructing the deviation feature vectors of each middle time sequence except the first time sequence and the last time sequence of all the ecological levels; Based on the position of the deviation feature vector in the time sequence, respectively obtaining corresponding first deviation change, second deviation change and third deviation change according to the deviation feature vector of the current time sequence, the deviation feature vector of the previous adjacent time sequence, the deviation feature vector of the next adjacent time sequence and the deviation feature vector of the first time sequence; acquiring a first difference absolute value of the first deviation ratio based on a first threshold of the first deviation direction according to a first deviation ratio of the first deviation change to the second deviation change and the first deviation direction; Obtaining a first basic coefficient corresponding to the current time sequence according to a new difference value between a second threshold value of the direction which is inversely related to the first deviation direction and the absolute value of the first difference value; Meanwhile, according to a second deviation ratio of the first deviation change to the third deviation change and a second deviation direction, a second difference absolute value of a third threshold value of the second deviation ratio based on the second deviation direction is obtained; Acquiring the deviation change slope and the deviation direction pair of two adjacent time sequences from the first time sequence to the current time sequence, and counting the second time sequence number representing the time sequence; According to the second difference absolute value, and combining the ratio of the second time sequence number to the first time sequence number from the first time sequence to the current time sequence, adjusting the first basic coefficient to obtain a second basic coefficient; weighting and fusing the basic coefficient and the associated weight of the corresponding ecological level to obtain a deviation coefficient of the corresponding time sequence; And taking the point corresponding to the time sequence with the deviation coefficient larger than the preset coefficient as a protection weak transition mutation point.
  8. 8. A platform for performing the method of evaluating an ecological restoration project of any one of claims 1-7.

Description

Evaluation method and platform for ecological restoration engineering Technical Field The invention relates to the technical field of ecological restoration evaluation, in particular to an evaluation method and platform for ecological restoration engineering. Background The ecological restoration engineering is a systematic treatment work aiming at a damaged ecological system, and the effect of the ecological restoration engineering is directly related to regional ecological balance, biological diversity protection and human living environment quality. Along with the increasingly urgent ecological protection requirements, the scale and complexity of ecological restoration projects are continuously improved, but a plurality of technical defects still exist in the current evaluation field of ecological restoration projects. In the prior art, a static evaluation mode is mostly adopted, dynamic influences of factors such as weather characteristics in different seasons on ecological restoration effect and protection requirements are not fully considered, so that deviation exists between an evaluation result and actual conditions, in the aspect of emergency identification, subjective experiences or single historical data analogy are mostly relied on, potential risks and derivative influences are difficult to comprehensively cover, namely, the correlation analysis dimension of the emergency and the engineering protection requirement is single, the evaluation effect is low only due to the fact that the simple causality judgment is limited, the problems are caused, the actual effect of the ecological restoration engineering is difficult to accurately reflect by the existing evaluation method, and reliable support cannot be provided for engineering optimization adjustment and risk prevention and control. Therefore, the invention provides an evaluation method of ecological restoration engineering. Disclosure of Invention The invention provides an evaluation method and a platform for ecological restoration engineering, which are used for solving the technical problems. The invention provides an evaluation method of ecological restoration engineering, which comprises the following steps: step 1, acquiring an engineering project file of an ecological restoration project, and simulating the ecological restoration project file to act on a target area, wherein the target area is based on ecological restoration simulation change conditions in different seasons; Step 2, determining the protection requirement of the target area based on each season and the necessary condition based on each protection requirement from an area-protection-season-condition comparison table, simultaneously, retrieving a historical engineering set similar to the area type and engineering project file of the target area from a historical database, and determining a plurality of emergency incidents by combining the geographic information of the target area, the ecological restoration simulation change condition of the corresponding season and the corresponding season dynamic management information; step 3, establishing the association relation between each emergency incident and each necessary condition, and determining the derivative condition and evaluation confidence of the necessary object in each necessary condition by combining the derivative damage factor of each emergency incident; step 4, extracting simulation change lines of each necessary condition under the corresponding seasons from the ecological restoration simulation change conditions of each season, comparing the simulation change lines with corresponding theoretical change lines, and locking protection weak mutation points in the simulation change lines; And 5, constructing an input vector based on the protection weak mutation points of each season by combining the corresponding necessary conditions according to the derivative conditions and the evaluation confidence coefficient related to each necessary condition, inputting the input vector into a vector evaluation analysis model to obtain an evaluation result of the ecological restoration project, generating a dynamic optimization project suggestion, and optimizing and adjusting the project file. Preferably, determining a number of emergency incidents includes: Determining engineering bias of each first clustering result, performing second clustering analysis on historical emergency events of all historical similar engineering in each first clustering result to obtain a time sequence penetration density line, an event emergency penetration line and an event emergency penetration line of each second clustering result, and constructing a penetration line matrix corresponding to the second clustering result; Determining a single representative vector subjected to standardization processing of each intersecting line matrix under the same first clustering result and a core representative vector subjected to standardization processing of