Ecological fragile area land utilization layout optimization method, system, equipment and medium

Abstract

The invention relates to the technical field of land utilization layout, and particularly discloses an ecologically fragile area land utilization layout optimization method, system, device and medium, the method comprises the following steps: constructing a multi-objective development optimization function for representing the ecologically fragile area land utilization layout, and calculating a Patto solution set of the multi-objective development optimization function; and based on the Patto solution set, determining Patto solutions corresponding to various ecological development scenes, and determining the land utilization optimization layout of each ecological development scene according to the constraint condition of the land utilization layout of the ecologically fragile area and the Patto solution corresponding to each ecological development scene. According to the method, the problem of multi-target collaborative optimization configuration of land utilization can be better solved, and decision support is provided for promoting multi-target collaboration of land utilization in an ecologically fragile area and guaranteeing sustainable development of the area.

Description

Background Art

[0002] Land is a non-renewable resource and the material basis and spatial carrier of economic and social development. The development of regional economy and the change of ecological environment constantly affect the change of land use. The optimization of land use has been a hot topic in recent years. With the development of RS and GIS technology, the research on land use structure and layout optimization has been greatly improved, enriching the research area objects and scales. Land use conflicts in ecologically fragile areas are very serious. Research on the optimal allocation of land use in future uncertain environments and different scenarios has a decision-making support role in promoting multi-objective coordination of land use in ecologically fragile areas and ensuring regional sustainable development.

[0003] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method, system, equipment and medium for optimizing land use layout in ecologically fragile areas.

[0005] In the first aspect, the present invention provides a method for optimizing land use layout in ecologically fragile areas, and the technical solution of the method is as follows:

[0006] Constructing a multi-objective development optimization function for characterizing the land use layout of ecologically fragile areas, and calculating the Pateto solution set of the multi-objective development optimization function;

[0007] Based on the Pateto solution set, Pateto solutions corresponding to a variety of ecological development scenarios are determined, and according to the constraints of land use layout in ecologically fragile areas and the Pateto solutions corresponding to each ecological development scenario, the optimal land use layout for each ecological development scenario is determined.

[0008] The beneficial effects of the land use layout optimization method for ecologically fragile areas of the present invention are as follows:

[0009] The method of the present invention can better solve the problem of multi-objective coordinated optimization configuration of land use, and has a decision-making support effect on promoting multi-objective coordination of land use in ecologically fragile areas and ensuring regional sustainable development.

[0010] On the basis of the above scheme, the method for optimizing land use layout in ecologically fragile areas of the present invention can also be improved as follows.

[0011] In an optional manner, the steps of constructing a multi-objective development optimization function for characterizing the land use layout in ecologically fragile areas include:

[0012] According to the regional characteristic data characterizing the ecologically fragile area, the multi-objective development optimization function for characterizing the land use layout of the ecologically fragile area is constructed.

[0013] In an optional manner, the step of calculating the Pateto solution set of the multi-objective evolution optimization function includes:

[0014] The NSGA-III algorithm is used to calculate the Pateto solution set of the multi-objective growth optimization function.

[0015] In an optional method, according to the constraints of the land use layout in the ecologically fragile area and the Pateto solution corresponding to each ecological development scenario, the steps of determining the land use optimization layout for each ecological development scenario include:

[0016] The FLUS model is used to determine the optimal land use layout of each ecological development scenario based on the constraints of the land use layout in ecologically fragile areas and the Pateto solution corresponding to any ecological development scenario, until the optimal land use layout of each ecological development scenario is obtained.

[0017] In one optional approach, the multiple ecological development scenarios include: natural evolution scenario, economic development priority scenario, ecological protection priority scenario and sustainable development scenario.

[0018] In a second aspect, the present invention provides a system for optimizing land use layout in ecologically fragile areas, and the technical solution of the system is as follows:

[0019] Includes: processing module and optimization module;

[0020] The processing module is used to: construct a multi-objective development optimization function for characterizing the land use layout of ecologically fragile areas, and calculate the Pateto solution set of the multi-objective development optimization function;

[0021] The optimization module is used to: determine the Pateto solutions corresponding to multiple ecological development scenarios based on the Pateto solution set, and determine the optimal land use layout for each ecological development scenario based on the constraints of the land use layout in the ecologically fragile area and the Pateto solutions corresponding to each ecological development scenario.

[0022] The beneficial effects of the ecologically fragile area land use layout optimization system of the present invention are as follows:

[0023] The system of the present invention can better solve the problem of multi-objective coordinated optimization configuration of land use, and plays a decision-making support role in promoting multi-objective coordination of land use in ecologically fragile areas and ensuring regional sustainable development.

[0024] On the basis of the above scheme, the ecologically fragile area land use layout optimization system of the present invention can also be improved as follows.

[0025] In an optional manner, the step of constructing a multi-objective development optimization function for characterizing the land use layout in the ecologically fragile area in the processing module includes:

[0026] According to the regional characteristic data characterizing the ecologically fragile area, the multi-objective development optimization function for characterizing the land use layout of the ecologically fragile area is constructed.

[0027] In an optional manner, the step of calculating the Pateto solution set of the multi-objective evolution optimization function in the processing module includes:

[0028] The NSGA-III algorithm is used to calculate the Pateto solution set of the multi-objective growth optimization function.

[0029] In a third aspect, a technical solution of an electronic device of the present invention is as follows:

[0030] The invention comprises a memory, a processor and a program stored in the memory and running on the processor. When the processor executes the program, the steps of the method for optimizing the layout of land use in ecologically fragile areas of the invention are realized.

[0031] In a fourth aspect, the present invention provides a computer-readable storage medium having the following technical solution:

[0032] Instructions are stored in the computer-readable storage medium. When the computer-readable storage medium reads the instructions, the computer-readable storage medium executes the steps of the method for optimizing land use layout in ecologically fragile areas of the present invention.

[0033] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0035] Figure 1 A schematic diagram of a flow chart of an embodiment of a method for optimizing land use layout in an ecologically fragile area of ​​the present invention;

[0036] Figure 2 A schematic diagram of the structure of an embodiment of a system for optimizing land use layout in ecologically fragile areas of the present invention;

[0037] Figure 3 The figure is a schematic structural diagram of an embodiment of an electronic device of the present invention. DETAILED DESCRIPTION

[0038] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0039] Figure 1 A flow chart of an embodiment of a method for optimizing the layout of land use in ecologically fragile areas provided by the present invention is shown. The method for optimizing the layout of land use in ecologically fragile areas can be executed by electronic devices such as terminal devices or servers. The terminal device can be any fixed or mobile terminal such as user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, vehicle-mounted device, wearable device, etc. The server can be a single server or a server cluster composed of multiple servers. Any electronic device can implement the method for optimizing the layout of land use in ecologically fragile areas by calling computer-readable instructions stored in a memory through a processor. Figure 1 As shown, the following steps are included:

[0040] S1. Construct a multi-objective development optimization function for characterizing the land use layout in ecologically fragile areas, and calculate the Pateto solution set of the multi-objective development optimization function.

[0041] Among them, the multi-objective development optimization function includes the economic benefit optimization function and the ecological benefit optimization function. The economic benefit optimization function calculates the annual economic benefit coefficient based on the output value data of various types of land in the study area for many years and the land use status data in the yearbook, and then uses the GM (1, 1) gray prediction model to predict the economic benefit coefficient in 2035. The ecological benefit optimization function determines the ecological benefit by calculating the ecosystem service value coefficient based on the average yield and price of the main grain crops in the study area and the ecosystem service value equivalent factor of Xiegaodi. The expression of the multi-objective development optimization function is:

[0042]

[0043] F1(x) is the economic benefit optimization function, F2(x) is the ecological benefit optimization function, x j is the area of ​​the jth land use type, n is the number of land use types, c j is the economic benefit coefficient of the jth land use type, d j is the ecological benefit coefficient of the jth land use type.

[0044] Among them, the Pateto solution set of the multi-objective development optimization function is: use Python to adjust parameters and write codes to implement the multi-objective land use structure optimization configuration plan, and obtain the Pateto solution set (study area) through calculation and comparison.

[0045] It should be noted that the technical solution of this embodiment can determine the study area according to actual conditions. The study area is assumed to be an ecologically fragile area, and there is no restriction on the specific site selection.

[0046] S2. Based on the Pateto solution set, determine the Pateto solutions corresponding to multiple ecological development scenarios, and determine the optimal land use layout for each ecological development scenario according to the constraints of the land use layout in the ecologically fragile area and the Pateto solutions corresponding to each ecological development scenario.

[0047] Among them, according to the functional positioning of the study area by the country and the possible changes in the situation inside and outside the region, a variety of ecological development scenarios are set for the study area. The various ecological development scenarios include: natural evolution scenario, economic development priority scenario, ecological protection priority scenario and sustainable development scenario. Each ecological development scenario corresponds to a Pateto solution, and a Pareto solution represents an optimal land use layout. The constraints are based on the actual land resource conditions of the study area and the regulatory restrictions made from a macro-policy perspective to meet the needs of future economic development and ecological protection. In order to ensure that the land use changes in the study area under multiple scenarios can not only conform to the laws of historical development, but also meet the government's planning expectations, the study area is set according to the regional planning and other materials of the study area, taking into account the actual needs of economy, ecology, etc. The constraints are based on the land use planning adjustment plan, and the land use changes, population evolution trends and related mathematical models in the study area are combined to construct the area constraints of various types. For example: determine the maximum value based on the change range of forest land interpreted by remote sensing in the study area over the years, and determine the forest land reserve according to the proportion of forest land in the study area to the county (or city) forest land and the local land use master plan, 3795.32≤X≤5692.98.

[0048] In an optional manner, the steps of constructing a multi-objective development optimization function for characterizing the land use layout in ecologically fragile areas include:

[0049] According to the regional characteristic data characterizing the ecologically fragile area, the multi-objective development optimization function for characterizing the land use layout of the ecologically fragile area is constructed.

[0050] The regional characteristic data include but are not limited to: remote sensing data, land use data, statistical data and various driving factors. The regional characteristic data are used to analyze the land structure of ecologically fragile areas and serve as the basis for constructing multi-objective development optimization functions.

[0051] In an optional manner, the step of calculating the Pateto solution set of the multi-objective evolution optimization function includes:

[0052] The NSGA-III algorithm is used to calculate the Pateto solution set of the multi-objective growth optimization function.

[0053] In an optional method, according to the constraints of the land use layout in the ecologically fragile area and the Pateto solution corresponding to each ecological development scenario, the steps of determining the land use optimization layout for each ecological development scenario include:

[0054] The FLUS model is used to determine the optimal land use layout of each ecological development scenario based on the constraints of the land use layout in ecologically fragile areas and the Pateto solution corresponding to any ecological development scenario, until the optimal land use layout of each ecological development scenario is obtained.

[0055] Among them, the formula for determining the Pateto solution corresponding to each ecological development scenario is:

[0056]

[0057] N refCount is the reference point data; M is the number of targets; H is the number of divisions on a single target axis; H in and H out Represents the number of divisions on the target axis of the inner and outer reference point hyperplanes respectively.

[0058] Among them, the FLUS model is used, and according to the constraints of land use layout in ecologically fragile areas and the Pateto solution corresponding to any ecological development scenario, the formula for determining the optimal land use layout of the ecological development scenario is:

[0059]

[0060] sp(p,k,t) is the probability of occurrence of land use type k in grid cell p at training time t; w j,k It is the adaptive weight between the hidden layer and the output layer, which changes dynamically during the training process; sigmoid (net j (p,t) is the activation function of the hidden layer to the output layer; net j (p,t) is the signal received by the tth hidden layer at grid cell p at training time t.

[0061] The technical solution of this embodiment is based on the optimization of land use structure and layout in ecologically fragile areas using NSGA-Ⅲ and FLUS models. Scenario analysis and model simulation under different objectives are important methods for carrying out land use optimization configuration, and mainly adopt the coupling method of mathematical prediction model and spatial pattern prediction model. Genetic algorithm, as a mathematical prediction model, has the characteristics of multi-point and multi-directional search, and can obtain multiple Pareto optimal solutions in one search. It is considered to be the most suitable method for multi-objective optimization; FLUS model, as a spatial pattern prediction model, introduces adaptive inertia coefficient and roulette competition mechanism on the basis of CA, and its simulation accuracy is higher than that of traditional CA and CLUE-S models. Compared with other mathematical models, the coupled genetic algorithm and FLUS model can better solve the problem of multi-objective collaborative optimization configuration of land use.

[0062] The technical solution of this embodiment can better solve the problem of multi-objective coordinated optimization configuration of land use, and plays a decision-making support role in promoting multi-objective coordination of land use in ecologically fragile areas and ensuring regional sustainable development.

[0063] Figure 2 FIG. 2 is a schematic diagram showing a structural embodiment of a system 200 for optimizing land use layout in an ecologically fragile area provided by the present invention. Figure 2 As shown, the system 200 includes: a processing module 210 and an optimization module 220;

[0064] The processing module 210 is used to: construct a multi-objective development optimization function for characterizing the land use layout of ecologically fragile areas, and calculate the Pateto solution set of the multi-objective development optimization function;

[0065] The optimization module 220 is used to: determine the Pateto solutions corresponding to multiple ecological development scenarios based on the Pateto solution set, and determine the optimal land use layout for each ecological development scenario based on the constraints of the land use layout in the ecologically fragile area and the Pateto solutions corresponding to each ecological development scenario.

[0066] In an optional manner, the step of constructing a multi-objective development optimization function for characterizing the land use layout of ecologically fragile areas in the processing module 210 includes:

[0067] According to the regional characteristic data characterizing the ecologically fragile area, the multi-objective development optimization function for characterizing the land use layout of the ecologically fragile area is constructed.

[0068] In an optional manner, the step of calculating the Pateto solution set of the multi-objective evolution optimization function in the processing module 210 includes:

[0069] The NSGA-III algorithm is used to calculate the Pateto solution set of the multi-objective growth optimization function.

[0070] In an optional manner, the step of determining the optimal land use layout for each ecological development scenario in the optimization module 220 according to the constraints of the land use layout in the ecologically fragile area and the Pateto solution corresponding to each ecological development scenario includes:

[0071] The FLUS model is used to determine the optimal land use layout of each ecological development scenario based on the constraints of the land use layout in ecologically fragile areas and the Pateto solution corresponding to any ecological development scenario, until the optimal land use layout of each ecological development scenario is obtained.

[0072] In one optional approach, the multiple ecological development scenarios include: natural evolution scenario, economic development priority scenario, ecological protection priority scenario and sustainable development scenario.

[0073] The technical solution of this embodiment can better solve the problem of multi-objective coordinated optimization configuration of land use, and plays a decision-making support role in promoting multi-objective coordination of land use in ecologically fragile areas and ensuring regional sustainable development.

[0074] The above parameters and steps for each module to implement corresponding functions in the ecologically fragile area land use layout optimization system 200 of this embodiment can refer to the parameters and steps in the embodiment of the ecologically fragile area land use layout optimization method above, and will not be repeated here.

[0075] like Figure 3 As shown, an electronic device 300 of an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the electronic device 300 implements any of the above-mentioned methods for optimizing land use layout in ecologically fragile areas, specifically:

[0076] The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein at least one computer program 330 is stored in the one or more memories 310, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the electronic device 300 implements any of the methods for optimizing the layout of land use in ecologically fragile areas provided in the above embodiments. Of course, the electronic device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the electronic device 300 may also include other components for implementing device functions, which will not be described in detail here.

[0077] A computer-readable storage medium in an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor to enable a computer to implement any of the above-mentioned methods for optimizing land use layout in ecologically fragile areas.

[0078] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0079] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device executes any of the above-mentioned methods for optimizing land use layout in ecologically fragile areas.

[0080] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0081] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0082] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0083] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for optimizing land use layout in ecologically fragile areas, characterized in that: include: Constructing a multi-objective development optimization function for characterizing the land use layout in ecologically fragile areas, and calculating the Pateto solution set of the multi-objective development optimization function; Based on the Pateto solution set, Pateto solutions corresponding to a variety of ecological development scenarios are determined, and according to the constraints of land use layout in ecologically fragile areas and the Pateto solutions corresponding to each ecological development scenario, the optimal land use layout for each ecological development scenario is determined.

2. The method for optimizing land use layout in ecologically fragile areas according to claim 1, characterized in that: The steps of constructing a multi-objective development optimization function for characterizing the land use layout in ecologically fragile areas include: According to the regional characteristic data characterizing the ecologically fragile area, the multi-objective development optimization function for characterizing the land use layout of the ecologically fragile area is constructed.

3. The method for optimizing land use layout in ecologically fragile areas according to claim 1, characterized in that: The step of calculating the Pateto solution set of the multi-objective evolution optimization function comprises: The NSGA-III algorithm is used to calculate the Pateto solution set of the multi-objective growth optimization function.

4. The method for optimizing land use layout in ecologically fragile areas according to claim 1, characterized in that: According to the constraints of land use layout in ecologically fragile areas and the Pateto solution corresponding to each ecological development scenario, the steps of land use optimization layout for each ecological development scenario are determined, including: The FLUS model is used to determine the optimal land use layout of each ecological development scenario based on the constraints of the land use layout in ecologically fragile areas and the Pateto solution corresponding to any ecological development scenario, until the optimal land use layout of each ecological development scenario is obtained.

5. The method for optimizing land use layout in ecologically fragile areas according to any one of claims 1 to 4, characterized in that: The various ecological development scenarios include: natural evolution scenario, economic development priority scenario, ecological protection priority scenario and sustainable development scenario.

6. A land use layout optimization system for ecologically fragile areas, characterized in that: include: Processing module and optimization module; The processing module is used to: construct a multi-objective development optimization function for characterizing the land use layout of ecologically fragile areas, and calculate the Pateto solution set of the multi-objective development optimization function; The optimization module is used to: determine the Pateto solutions corresponding to multiple ecological development scenarios based on the Pateto solution set, and determine the optimal land use layout for each ecological development scenario based on the constraints of the land use layout in the ecologically fragile area and the Pateto solutions corresponding to each ecological development scenario.

7. The ecologically fragile area land use layout optimization system according to claim 6 is characterized in that: The step of constructing a multi-objective development optimization function for characterizing the land use layout in the ecologically fragile area in the processing module includes: According to the regional characteristic data characterizing the ecologically fragile area, the multi-objective development optimization function for characterizing the land use layout of the ecologically fragile area is constructed.

8. The ecologically fragile area land use layout optimization system according to claim 6 is characterized in that: The step of calculating the Pateto solution set of the multi-objective evolution optimization function in the processing module includes: The NSGA-III algorithm is used to calculate the Pateto solution set of the multi-objective growth optimization function.

9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the method for optimizing land use layout in ecologically fragile areas as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements the method for optimizing land use layout in ecologically fragile areas as described in any one of claims 1 to 5.

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