CN-122022166-A - Ecological hydrologic benign relation maintenance threshold defining method and system

CN122022166ACN 122022166 ACN122022166 ACN 122022166ACN-122022166-A

Abstract

The invention discloses a method and a system for defining an ecological hydrology benign relation maintenance threshold, which relate to the technical field of ecological hydrology and comprise the steps of acquiring multisource data of a target river basin and selecting to obtain a core decision variable; the method comprises the steps of constructing a double-target optimization model comprising a hydrological objective function and an ecological objective function based on core decision variables, constructing a plurality of constraint conditions based on multi-source data, solving the double-target optimization model by adopting a multi-target evolutionary algorithm based on all the constraint conditions to obtain a Pareto optimal solution set, determining weights based on an expert scoring method, and selecting from the Pareto optimal solution set based on an ideal point method and a comprehensive satisfaction index to obtain an optimal threshold. The collaborative optimization of ecological protection and economic development is realized, and the stability and practicability of the threshold under the climate change background are further ensured.

Inventors

WANG YIXUAN
LIU TINGXI
DUAN LIMIN
LIU XIAOMIN
MA LONG
CHU SHAOJIE
SUN JIN

Assignees

内蒙古农业大学

Dates

Publication Date: 20260512
Application Date: 20260130

Claims (10)

1. An ecological hydrologic benign relationship maintenance threshold defining method, comprising: Acquiring multi-source data of a target river basin and selecting to obtain a core decision variable; constructing a double-target optimization model comprising a hydrologic objective function and an ecological objective function based on the core decision variables; constructing a plurality of constraints based on the multi-source data; Solving the double-target optimization model by adopting a multi-target evolutionary algorithm based on all the constraint conditions to obtain a Pareto optimal solution set; And determining weights based on an expert scoring method, and selecting an optimal threshold value from the Pareto optimal solution set based on the ideal point method and the comprehensive satisfaction index.
2. The method of claim 1, wherein the multi-source data comprises meteorological data, hydrological data, ecological data, and economic data; and acquiring the average groundwater level burial depth of the river basin growing season of the target river basin based on the hydrological data as the core decision variable.
3. The method for defining an ecological hydrologic benign relation maintaining threshold according to claim 2, wherein the method for constructing a double-objective optimization model is as follows: Taking the absolute value of the difference between the average underground water level burial depth and the ideal burial depth as burial depth deviation based on the river basin growth season; Minimizing the burial depth deviation as the hydrologic objective function; Acquiring vegetation coverage of the target river basin based on the average ground water level burial depth of the river basin growing season and the ecological data; Maximizing the vegetation coverage as the ecological objective function; And forming the double-target optimization model based on the hydrological objective function and the ecological objective function.
4. A method of defining an ecological hydrographic benign relationship maintenance threshold as claimed in claim 3, wherein the ideal burial depth determination method is: Acquiring plant transpiration rates and photosynthesis rates of the target river basin under different groundwater level burial depths; As a water utilization efficiency based on a ratio of the photosynthetic rate to the plant transpiration rate; Drawing a relation curve of the water utilization efficiency and the buried depth of the underground water level; And selecting the groundwater level burial depth corresponding to the maximum water utilization efficiency based on the relation curve as the ideal burial depth.
5. The method for defining an ecological hydrologic benign relationship maintenance threshold according to claim 3, wherein said constraints include water balance constraints, ecological protection constraints, socioeconomic constraints and system stability constraints; constructing a water balance constraint based on the meteorological data; Acquiring the minimum vegetation coverage for maintaining the stability of the ecological system based on the ecological data; Constructing an ecological protection constraint based on the vegetation coverage and the minimum vegetation coverage; constructing socioeconomic constraints based on the economic data; A system stability constraint is constructed based on the meteorological data and a stability threshold.
6. The method for defining an ecological hydrologic benign relation maintaining threshold according to claim 5, wherein the Pareto optimal solution set obtaining method is as follows: solving the multi-objective optimization model by adopting a non-dominant ordering genetic algorithm with elite strategy and combining all constraint conditions; And ensuring the stability of the solution set through multiple independent operations, and obtaining the Pareto optimal solution set for representing the trade-off relation among different targets.
7. The method for defining an ecological hydrologic benign relation maintaining threshold according to claim 6, wherein the optimal threshold obtaining method is as follows: Selecting ideal points and negative ideal points which enable the double-target optimization model to reach optimal values and worst values based on the Pareto optimal solution set; Acquiring an objective function value of each solution based on the Pareto optimal solution set, and forming a decision matrix together; based on the distances between the decision matrix and the ideal point and the negative ideal point respectively, obtaining the comprehensive satisfaction index; Selecting a solution with the maximum comprehensive satisfaction index as a final recommended threshold scheme based on the Pareto optimal solution set; and taking the decision variable corresponding to the recommended threshold scheme as the defined optimal threshold.
8. The method for defining an ecological hydrobenign relation maintenance threshold according to claim 7, wherein the method for obtaining the ideal point and the negative ideal point is as follows: Selecting a minimum value of a hydrological objective function as a hydrological objective optimal value based on the Pareto optimal solution set; selecting the minimum value of the ecological objective function negative value as the ecological objective optimal value; Forming the ideal point based on the hydrologic target optimal value and the ecological target optimal value; selecting a maximum value of a hydrological objective function as a hydrological objective worst value based on the Pareto optimal solution set; selecting the maximum value of the ecological objective function negative value as the ecological objective worst value; the negative ideal point is composed based on the hydrologic target worst value and the ecological target worst value.
9. The method for defining an ecological hydrologic benign relation maintaining threshold according to claim 8, wherein the method for obtaining an integrated satisfaction index is as follows: carrying out normalization processing based on the decision matrix to obtain a target normalized value of a target function value corresponding to each solution; Determining a relative weight of each objective function value based on an expert scoring method; Combining the related weight with the corresponding target normalized value to obtain a weighted value; based on the weighted value and the distances between the ideal point and the negative ideal point, correspondingly obtaining a first distance and a second distance; and acquiring the comprehensive satisfaction index corresponding to each solution based on the first distance and the second distance.
10. An ecological hydrologic benign relation maintaining threshold defining system for executing an ecological hydrologic benign relation maintaining threshold defining method according to any one of claims 1 to 9, characterized by comprising a data acquisition module, a model construction module, a constraint construction module, an optimal solution set acquisition module and an optimal threshold output module; The data acquisition module is used for acquiring multi-source data of a target river basin and selecting and obtaining a core decision variable; the model construction module is used for constructing a double-target optimization model comprising a hydrologic objective function and an ecological objective function based on the core decision variables; The constraint construction module is used for constructing a plurality of constraint conditions based on the multi-source data; The optimal solution set acquisition module is used for solving the double-target optimization model by adopting a multi-target evolutionary algorithm based on all constraint conditions to obtain a Pareto optimal solution set; And the optimal threshold output module is used for determining weights based on an expert scoring method and selecting an optimal threshold from the Pareto optimal solution set based on the ideal point method and the comprehensive satisfaction index.

Description

Ecological hydrologic benign relation maintenance threshold defining method and system Technical Field The invention relates to the technical field of ecological hydrology, in particular to a method and a system for defining an ecological hydrology benign relation maintaining threshold. Background The semiarid watershed has extremely deficient water resources and high ecological environment sensitivity, and the dynamic groundwater level directly affects the composition, structure and function of grassland vegetation. The method has the following problems in the semi-arid flow field ecological hydrologic threshold research that (1) most researches only pay attention to a single boundary of ecological protection, neglect multi-objective management requirements of a water resource system, (2) lack of overall consideration of hydrologic-ecological-economic systems, difficult to reflect complex feedback among all subsystems, (3) the existing threshold is based on static analysis, and insufficient in adaptability to climate fluctuation and human activities, and (4) the actual requirements of economic development of pasture areas are not fully considered, so that management measures are difficult to implement on the ground. Therefore, how to realize the collaborative optimization of ecological protection and economic development, and further ensure the stability and practicality of the threshold under the climate change background is a problem that needs to be solved by those skilled in the art. Disclosure of Invention In view of the above problems, the present invention has been made to provide a method and a system for defining an ecological hydrologic benign relation maintenance threshold, which overcome or at least partially solve the above problems, so as to realize collaborative optimization of ecological protection and economic development, and further ensure stability and practicability of the threshold under the climate change background. In order to achieve the above purpose, the present invention adopts the following technical scheme: in a first aspect, an embodiment of the present invention provides a method for defining an ecological hydrologic benign relation maintenance threshold, including: Acquiring multi-source data of a target river basin and selecting to obtain a core decision variable; constructing a double-target optimization model comprising a hydrologic objective function and an ecological objective function based on the core decision variables; constructing a plurality of constraints based on the multi-source data; Solving the double-target optimization model by adopting a multi-target evolutionary algorithm based on all the constraint conditions to obtain a Pareto optimal solution set; And determining weights based on an expert scoring method, and selecting an optimal threshold value from the Pareto optimal solution set based on the ideal point method and the comprehensive satisfaction index. In another embodiment, the multi-source data includes meteorological data, hydrological data, ecological data, and economic data; and acquiring the average groundwater level burial depth of the river basin growing season of the target river basin based on the hydrological data as the core decision variable. In another embodiment, the method for constructing the dual-objective optimization model comprises the following steps: Taking the absolute value of the difference between the average underground water level burial depth and the ideal burial depth as burial depth deviation based on the river basin growth season; Minimizing the burial depth deviation as the hydrologic objective function; Acquiring vegetation coverage of the target river basin based on the average ground water level burial depth of the river basin growing season and the ecological data; Maximizing the vegetation coverage as the ecological objective function; And forming the double-target optimization model based on the hydrological objective function and the ecological objective function. In another embodiment, the ideal burial depth determination method is as follows: Acquiring plant transpiration rates and photosynthesis rates of the target river basin under different groundwater level burial depths; As a water utilization efficiency based on a ratio of the photosynthetic rate to the plant transpiration rate; Drawing a relation curve of the water utilization efficiency and the buried depth of the underground water level; And selecting the groundwater level burial depth corresponding to the maximum water utilization efficiency based on the relation curve as the ideal burial depth. In another embodiment, the constraints include water balance constraints, ecological protection constraints, socioeconomic constraints, and system stability constraints; constructing a water balance constraint based on the meteorological data; Acquiring the minimum vegetation coverage for maintaining the stability of the ecological system based on the eco