CN117151499A - Monitoring and evaluating method and system for homeland space planning - Google Patents
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Abstract
The application relates to the technical field of homeland space planning, and particularly discloses a monitoring and evaluating method and a system for homeland space planning, wherein the method comprises the steps of obtaining planning information of a planning area; selecting a target evaluation index from the planning information, and constructing an evaluation index system based on the target evaluation index; and constructing an evaluation model based on the evaluation index system, and calculating an evaluation value of the evaluation model. The application evaluates the homeland space planning information in the aspects of society, economy, ecological environment and the like, predicts the restoring force of the planned homeland environment, reduces and controls the vulnerability of the city and enhances the adaptability of the city to external interference on the premise of unifying social, economical and ecological three-effect, thereby providing effective predictive suggestion for planning the homeland space and being beneficial to planning the homeland space.
Description
Technical Field
The application particularly relates to the technical field of homeland space planning, in particular to a monitoring and evaluating method and a system for homeland space planning.
Background
Land utilization mainly refers to taking the principle of planning thinking by advanced technology according to the nature and natural characteristics of the area where the land is located, and meets the living and developing requirements of human beings in a certain space-time state, and finally, the aim is to realize several functions and purposes of the land and the harmony relationship of the ecological environment of the land so as to avoid the destruction of the ecological environment of the land.
With the acceleration of the current urban process, the population gradually gathers towards cities, the urban socioeconomic development level is continuously improved, a plurality of central urban gathering phenomena are generated, and a plurality of urban groups are continuously emerging. The problems associated with these techniques are also endless: the dramatically increased urban population causes serious overload of the urban resource environment bearing capacity and employment pressure is increased; the environmental deterioration and the resource crisis bring uncertain factors for the urban healthy development; the life of people is seriously affected by various urban diseases such as atmospheric pollution, water resource shortage, noise pollution, traffic jam and the like caused by urban development. In order to solve the contradiction between the rapid development of the current city and various city problems, a method based on the restoring force is always focused on the aspects of researching and managing the urban society-ecological system.
The national space planning is a guide of national space development, is a space guarantee of national sustainable development, is a necessary requirement of modernization of a national treatment capacity and treatment system, and the Chinese application patent with publication number of CN115545482A discloses a national space planning risk assessment method, which comprises the following steps: s1, researching climate and topography conditions of a national-soil space planning area, natural resource endowments such as water and soil, space background characteristics such as ecological environment capacity and the like, analyzing space matching relations of natural geographic patterns, population distribution and regional economic layout, and defining the maximum reasonable scale and suitable space for agricultural production and town construction; s2, combining trends of urban development, population distribution, economic development, technological progress, climate change and the like.
The method for evaluating the restoring force is characterized in that the method for evaluating the restoring force is used for identifying potential risks possibly faced in aspects of ecological protection, natural disasters, homeland security and disease disasters and carrying out scene simulation analysis, and then a risk model is established according to scene simulation analysis results, so that although the type of the risk disasters and disaster prevention and reduction targets which need to be considered in homeland space planning can be effectively clarified, early warning and guidance can be facilitated for homeland space planning, but the carrying capacity and the restoring force of the whole regional environment before and after the homeland space planning is executed in an evaluation area cannot be evaluated, and reasonable and accurate evaluation suggestion cannot be provided for the establishment of the homeland space planning.
Disclosure of Invention
The application aims to provide a monitoring and evaluating method and a system for homeland space planning, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present application provides the following technical solutions:
a monitoring and evaluating method for homeland space planning comprises the following steps:
s10, acquiring planning information of a planning area, wherein the planning information comprises basic geographic data, resource environment data and socioeconomic data of the planning area;
s20, selecting a target evaluation index from planning information, and constructing an evaluation index system based on the target evaluation index, wherein the evaluation index system comprises a geographic environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
s30, constructing an evaluation model based on the evaluation index system, and calculating an evaluation value of the evaluation model.
As still further aspects of the application: in step S10, the basic geographical data of the planned area includes administrative division vector data, (DEM) digital elevation model, and land use data.
As still further aspects of the application: the method for processing the data also comprises the step of processing the planning information of the planning area, and the method for processing the data comprises the following steps:
(1) Unifying geographic coordinates: converting different types of data into a unified format and a coordinate system, wherein the coordinate system adopts a 2000-national geodetic coordinate system, and the projection coordinate adopts Gaussian-Kelvin projection;
(2) Image data processing: extracting data required by research through a digital elevation model with 30m resolution and a LANDSAT80LI_TIRS satellite digital product; carrying out pickling film extraction on vector administrative division data of a planning area by utilizing an Arc GIS to obtain the elevation and gradient of a research area, and carrying out pretreatment and supervision classification on LANDSAT8 data by utilizing ENVI to obtain land utilization type data;
(3) Attribute data processing: and (3) counting by Excel software to obtain data such as precipitation, total water resources, active accumulated temperature, average wind speed and the like of a planning area, carrying out visual processing by using related tools in Arc GIS software, and carrying out data connection on vector data and administrative regions of each county.
As still further aspects of the application: in step S20, the target evaluation index selected from the planning information includes:
the first target evaluation index selected from basic geographic data comprises a planned area, a soil type, various soil occupation ratios, land utilization intensity, a city road area per person, total water resource, precipitation, altitude, vegetation coverage index and greening coverage rate of a built-up area;
a second target evaluation index selected from the resource environment data, including population density, loss rate, average urban road area, scientific expenditure ratio, industrial wastewater discharge, unit GDP energy consumption, urban land occupation ratio, average social electricity consumption and average residential water consumption;
and the third target evaluation index selected from the socioeconomic data comprises final financial institution loans, industrial structure diversified indexes, social consumer product retail sum accounting for GDP proportion, average production sum, urban resident annual available income, average fixed asset investment, actual utilization of foreign resources accounting for GDP proportion and average employee wages.
As still further aspects of the application: in step S20, the method for constructing an evaluation index system based on the target evaluation index includes the following steps:
s21, selecting a target evaluation index required by the construction of an evaluation index system;
s22, calculating the score value of the target evaluation index, and arranging the score values of the target evaluation index according to the size sequence;
s23, selecting target evaluation indexes meeting the preset selection quantity v according to the sequence from large to small as construction indexes of an evaluation index system.
As still further aspects of the application: in step S22, the calculation method of the target index score value is as follows: and evaluating the importance degree between every two target indexes, adding 1 to the score value of the target index with higher importance degree, traversing all the target indexes until the score value calculation of all the target indexes is completed, and obtaining the score value of the target evaluation index.
As still further aspects of the application: the evaluation model is an urban society-ecological system restoring force evaluation model, and the method for constructing the evaluation model comprises the following steps:
s31, selecting m objects to be evaluated and n indexes to be evaluated from an evaluation index system, and constructing an original index data matrix, wherein in the step S31, the original index data matrix is as follows:
X＝(x ij ) m×n ；
s32, normalizing the original index data matrix, and obtaining a weight by using an entropy method, wherein in the step S32, the normalized matrix obtained after the processing is as follows:
Y＝(y ij ) m×n ；
wherein, forward index:negative index: />
In step S32, the weight obtained by the entropy method is:
wherein: w (W) j Representing the j-th weight; g j ＝1-e j ；
S33, constructing a weighting matrix, determining the optimal scheme and the worst scheme of the j-th item based on the weighting matrix, and calculating Euclidean distance between the optimal scheme and the worst scheme, wherein in the step S33, the weighting matrix is as follows:
Z＝Y×W；
wherein Y represents a standardized matrix; w represents a weight;
further, in step S33, the optimal scheme and the worst scheme are respectively:
wherein,represents the optimal scheme of the j-th item->Representing the worst scheme of the j-th item;
in step S33, the equation for calculating the euclidean distance between the optimal solution and the worst solution is:
wherein,euclidean distance representing optimal solution, +.>The Euclidean distance representing the worst scheme;
s34, constructing an urban society-ecosystem restoration force evaluation model, and calculating an evaluation value of the model, wherein in the step S34, the urban society-ecosystem restoration force evaluation model is as follows:
wherein C is i ∈[0，1]An evaluation value of restoring force representing an urban society-ecosystem, C i Maximum, the higher the restoring force.
As still further aspects of the application: the evaluation model in the step S30 is a single-index bearing capacity evaluation model, and the method for constructing the single-index bearing capacity evaluation model comprises the following steps:
selecting a target evaluation index system, wherein the target evaluation index system is one of a geographical environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
step two, constructing a single-index bearing capacity evaluation model based on target evaluation indexes contained in a target evaluation index system, wherein in the step two, the single-index bearing capacity evaluation model is as follows:
wherein B is s Score value, Q, representing the s-th target evaluation index s And (5) representing the superposition index weight value of the target evaluation index system.
A monitoring and assessment system for homeland space planning, comprising:
the data acquisition module is used for acquiring planning information of a planning area, wherein the planning information comprises basic geographic data, resource environment data and socioeconomic data of the planning area;
the evaluation index system construction module is used for selecting target evaluation indexes from planning information and constructing an evaluation index system based on the target evaluation indexes, wherein the evaluation index system comprises a geographic environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
and the evaluation calculation module is used for constructing an evaluation model based on the evaluation index system and calculating an evaluation value of the evaluation model.
Compared with the prior art, the application has the beneficial effects that: according to the application, the planning information of the planning area is obtained, the target evaluation index is selected from the planning information, the evaluation index system is constructed based on the target evaluation index, the evaluation model is constructed based on the evaluation index system, the evaluation value of the evaluation model is calculated, the planning information of the homeland space is evaluated in the aspects of society, economy, ecological environment and the like, the restoring force of the homeland environment after planning is predicted, and the purposes of reducing and controlling the vulnerability of the city and enhancing the adaptability of the city to external interference on the premise of unifying society, economy and ecological are achieved, so that effective predictive advice is provided for planning of the homeland space, and the planning of the homeland space is facilitated.
Drawings
Fig. 1 is a flowchart of a monitoring and evaluating method of a homeland space planning.
Fig. 2 is a flowchart of step S20 in the monitoring and evaluating method of the homeland space planning.
Fig. 3 is a flowchart of step S30 in the monitoring and evaluating method of the homeland space planning.
Fig. 4 is a flowchart of example 2 in a monitoring and evaluating method of homeland space planning.
Fig. 5 is a system block diagram of a monitoring and evaluation system for homeland space planning.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should be understood that although the terms first, second, etc. may be used in embodiments of the present application to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another.
The method for evaluating the restoring force is characterized in that the method for evaluating the restoring force is used for identifying potential risks possibly faced in aspects of ecological protection, natural disasters, homeland security and disease disasters and carrying out scene simulation analysis, and then a risk model is established according to scene simulation analysis results, so that although the type of the risk disasters and disaster prevention and reduction targets which need to be considered in homeland space planning can be effectively clarified, early warning and guidance can be facilitated for homeland space planning, but the carrying capacity and the restoring force of the whole regional environment before and after the homeland space planning is executed in an evaluation area cannot be evaluated, and reasonable and accurate evaluation suggestion cannot be provided for the establishment of the homeland space planning.
Example 1
Referring to fig. 1-3, in an embodiment of the present application, a method and a system for monitoring and evaluating a homeland space plan include the following steps:
s10, acquiring planning information of a planning area, wherein the planning information comprises basic geographic data, resource environment data and socioeconomic data of the planning area;
in step S10 of the embodiment of the present application, it should be noted that, the basic geographic data of the planning area includes administrative division vector data of the city, mainly derived from the natural resource department; the (DEM) digital elevation model is mainly derived from China academy of sciences of resource environment and data center; land utilization data mainly come from LANDSAT8 image data downloaded by geospatial data cloud:
the resource environment data comprise water resource related data and soil data, are derived from the national academy of sciences resource environment science and data center, and the climate environment data are derived from the national weather science data center and the national environment quality monitoring website.
Further, in an embodiment of the present application, the method further includes performing data processing on planning information of the planning area, where the method for performing data processing includes:
(1) Unifying geographic coordinates: converting different types of data into a unified format and a coordinate system, wherein in the embodiment, the coordinate system adopts a 2000 national geodetic coordinate system (CGCS 2000), and projection coordinates adopt Gaussian-Kelvin projection;
(2) Image data processing: extracting data required for research through a 30m resolution (DEM) digital elevation model and a LANDSAT80LI_TIRS satellite digital product; carrying out pickling film extraction on vector administrative division data of a planning area by utilizing an Arc GIS to obtain the elevation and gradient of a research area, and carrying out pretreatment and supervision classification on LANDSAT8 data by utilizing ENVI to obtain land utilization type data;
(3) Attribute data processing: and (3) counting by Excel software to obtain data such as precipitation, total water resources, active accumulated temperature, average wind speed and the like of a planning area, carrying out visual processing by using related tools in Arc GIS software, and carrying out data connection on vector data and administrative division of each county so as to carry out subsequent space and attribute analysis.
S20, selecting a target evaluation index from planning information, and constructing an evaluation index system based on the target evaluation index, wherein the evaluation index system comprises a geographic environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
in step S20 of the embodiment of the present application, the target evaluation index selected from the planning information includes:
the first target evaluation index selected from basic geographic data comprises a planned area, a soil type, various soil occupation ratios, land utilization intensity, a city road area per person, total water resource, precipitation, altitude, vegetation coverage index, greening coverage rate of a built-up area and the like;
the second target evaluation index selected from the resource environment data comprises population density, loss rate, average urban road area, scientific expenditure ratio, industrial wastewater discharge, unit GDP energy consumption, urban land occupation ratio, average social electricity consumption, average household water consumption of residents and the like;
and the third target evaluation index selected from the socioeconomic data comprises final financial institution loans, industrial structure diversified indexes, social consumer product retail sum accounting for GDP proportion, average production sum, urban resident annual available income, average fixed asset investment, actual utilization of foreign resources accounting for GDP proportion, average employee wages and the like.
In step S20 of the embodiment of the present application, a method for constructing an evaluation index system based on a target evaluation index includes the following steps:
s21, selecting target evaluation indexes required by construction of an evaluation index system, wherein in the step S21, a first target evaluation index is selected for the geographical environment evaluation index system, a second target evaluation index is selected for the resource environment evaluation index system, and a third target evaluation index is selected for the socioeconomic evaluation index system;
s22, calculating the score value of the target evaluation index, and arranging the score values of the target evaluation index according to the size sequence;
further, in the embodiment of the present application, the method for calculating the target index score value includes: and evaluating the importance degree between every two target indexes, adding 1 to the score value of the target index with higher importance degree, traversing all the target indexes until the score value calculation of all the target indexes is completed, and obtaining the score value of the target evaluation index.
S23, selecting target evaluation indexes meeting the preset selection quantity v as construction indexes of an evaluation index system according to the sequence from large to small, and selecting the larger 10 indexes of the target indexes as construction indexes of the evaluation index system when the preset selection quantity v=10 in the step S23 of the embodiment, wherein the evaluation index system comprises 10 construction indexes.
S30, constructing an evaluation model based on the evaluation index system, and calculating an evaluation value of the evaluation model;
in step S30 of the embodiment of the present application, the evaluation model is an urban society-ecosystem restoring force evaluation model, and the method for constructing the evaluation model includes the following steps:
s31, selecting m objects to be evaluated and n indexes to be evaluated from an evaluation index system, and constructing an original index data matrix, wherein in the step S31 of the embodiment, the original index data matrix is as follows:
X＝(x ij ) m×n ；
it should be noted that, in step S31 of the embodiment of the present application, the objects to be evaluated are a geographical environment evaluation index system, a resource environment evaluation index system, and a socioeconomic evaluation index system, that is, in step S31, the number m=3 of the selected objects to be evaluated, and the number of the selected objects to be evaluated is the sum of the numbers of the construction indexes of the respective objects to be evaluated;
s32, normalizing the original index data matrix, and obtaining a weight by using an entropy method, wherein in the step S32 of the embodiment, the normalized matrix obtained after the processing is as follows:
Y＝(y ij ) m×n ；
wherein, forward index:negative index: />
In step S32, the weight obtained by the entropy method is:
wherein: w (W) j Representing the j-th weight; g j ＝1-e j ；
S33, constructing a weighting matrix, determining the optimal scheme and the worst scheme according to the j-th item, and calculating Euclidean distance between the optimal scheme and the worst scheme, wherein in the step S33 of the embodiment, the weighting matrix is as follows:
Z＝Y×W；
wherein Y represents a standardized matrix; w represents a weight;
further, in step S33, the optimal scheme and the worst scheme are respectively:
wherein,represents the optimal scheme of the j-th item->Representing the worst scheme of the j-th item;
in step S33, the equation for calculating the euclidean distance between the optimal solution and the worst solution is:
wherein,euclidean distance representing optimal solution, +.>Representing the mostEuclidean distance of inferior scheme;
s34, constructing an urban society-ecosystem restoration force evaluation model, and calculating an evaluation value of the model, wherein in the step S34 of the embodiment, the urban society-ecosystem restoration force evaluation model is as follows:
wherein C is i ∈[0，1]An evaluation value of restoring force representing an urban society-ecosystem, C i Maximum, the higher the restoring force.
In step S30 of the embodiment of the present application, the recovery power evaluation model of the social-ecological system is an entropy weight-TOPSIS model, the entropy weight-TOPSIS model is an improved TOPSIS evaluation model, a determination method of entropy weight is added on the basis of the original method, the influence of human factors is avoided, the evaluation model adopts the entropy method to weight the index system, and then evaluates each index in the evaluation index system by approximating the degree of ideal solution, it can be understood that the recovery power evaluation model of the social-ecological system is based on a plurality of evaluation index systems, and the recovery power of the geographic environment, the resource environment and the socioeconomic after the homeland space planning is performed from a plurality of angle reaction planning areas, thereby providing an estimated suggestion for the formulation of the homeland space planning.
Example 2
Referring to fig. 4, the difference between the embodiment of the present application and embodiment 1 is that the evaluation model in step S30 may be a single-index load-bearing capacity evaluation model, and the method for constructing the single-index load-bearing capacity evaluation model includes the following steps:
selecting a target evaluation index system, wherein the target evaluation index system is one of a geographical environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
step two, constructing a single-index bearing capacity evaluation model based on target evaluation indexes contained in a target evaluation index system, wherein in the step two of the embodiment, the single-index bearing capacity evaluation model is as follows:
wherein B is s Score value, Q, representing the s-th target evaluation index s A superimposed index weight value representing a target evaluation index system;
further, in the embodiment of the present application, the score value B of the s-th target evaluation index s The calculation method of the target index score value in step S22 in embodiment 1 is adopted, and the superposition index weight value of the target evaluation index system is adopted in the calculation method of the weights in steps S31 to S32 in embodiment 1.
It can be understood that the single-index bearing capacity evaluation model is based on a single evaluation index system to evaluate the bearing capacity of the evaluation index system, and reflects the bearing capacity of the homeland space planning on the geographical environment, the resource environment and the socioeconomic of the planning area from a single angle, so as to provide an evaluation suggestion for the establishment of the homeland space planning.
In addition, referring to fig. 5, the application also discloses a monitoring and evaluating system for homeland space planning, which comprises:
a data acquisition module 100, configured to acquire planning information of a planning area, where the planning information includes basic geographic data, resource environment data, and socioeconomic data of the planning area;
the evaluation index system construction module 200 is used for selecting a target evaluation index from the planning information and constructing an evaluation index system based on the target evaluation index, wherein the evaluation index system comprises a geographic environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
the evaluation calculation module 300 is configured to construct an evaluation model based on the evaluation index system, and calculate an evaluation value of the evaluation model.
Furthermore, some embodiments may include a storage medium having a program for executing the method described in the present specification on a computer, on which at least one instruction, at least one section of program, code set, or instruction set is stored, which when loaded and executed by a processor, implements the steps of the above-described method embodiments, examples of the computer-readable recording medium including hardware means specially configured to store and execute program instructions: magnetic media such as hard disk, floppy disk and magnetic tape, optical recording media such as CD-ROM, DVD, magneto-optical media such as floppy disk, and ROM, RAM, flash memory, etc. Examples of program commands may include: machine language code written by a compiler, and a high-level language executed by a computer using an interpreter or the like.
Those of ordinary skill in the art will appreciate that implementing all or a portion of the processes of the above-described embodiments may be accomplished by at least one instruction, at least one program, code set, or instruction set that may be executed by associated hardware, the at least one instruction, at least one program, code set, or instruction set may be stored in a non-transitory computer-readable storage medium, the at least one instruction, at least one program, code set, or instruction set, when executed, may comprise processes of embodiments of the above-described methods. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory.
In summary, the method and the system have the advantages that the planning information of the planning area is obtained, the target evaluation index is selected from the planning information, the evaluation index system is constructed based on the target evaluation index, the evaluation model is constructed based on the evaluation index system, the evaluation value of the evaluation model is calculated, the homeland space planning information is evaluated in the aspects of society, economy, ecological environment and the like, the restoring force of the homeland environment after planning is predicted, and the urban vulnerability is reduced and controlled and the adaptability of the city to external interference is enhanced on the premise of unifying the society, economy and ecological effect, so that effective predictive suggestion is provided for planning of the homeland space, and planning of the homeland space is facilitated.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (9)
1. The monitoring and evaluating method for the homeland space planning is characterized by comprising the following steps of:
s10, acquiring planning information of a planning area, wherein the planning information comprises basic geographic data, resource environment data and socioeconomic data of the planning area;
s20, selecting a target evaluation index from planning information, and constructing an evaluation index system based on the target evaluation index, wherein the evaluation index system comprises a geographic environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
s30, constructing an evaluation model based on the evaluation index system, and calculating an evaluation value of the evaluation model.
2. The method according to claim 1, wherein in step S10, the basic geographical data of the planned area includes administrative division vector data, (DEM) digital elevation model, and land use data.
3. The method of claim 2, further comprising data processing the planning information of the planned area, the method comprising:
(1) Unifying geographic coordinates: converting different types of data into a unified format and a coordinate system, wherein the coordinate system adopts a 2000-national geodetic coordinate system, and the projection coordinate adopts Gaussian-Kelvin projection;
(2) Image data processing: extracting data required by research through a digital elevation model with 30m resolution and a LANDSAT8OLI_TIRS satellite digital product; carrying out pickling film extraction on vector administrative division data of a planning area by utilizing an Arc GIS to obtain the elevation and gradient of a research area, and carrying out pretreatment and supervision classification on LANDSAT8 data by utilizing ENVI to obtain land utilization type data;
(3) Attribute data processing: and (3) counting by Excel software to obtain data such as precipitation, total water resources, active accumulated temperature, average wind speed and the like of a planning area, carrying out visual processing by using related tools in Arc GIS software, and carrying out data connection on vector data and administrative regions of each county.
4. The method according to claim 1, wherein in step S20, the target evaluation index selected from the planning information includes:
the first target evaluation index selected from basic geographic data comprises a planned area, a soil type, various soil occupation ratios, land utilization intensity, a city road area per person, total water resource, precipitation, altitude, vegetation coverage index and greening coverage rate of a built-up area;
a second target evaluation index selected from the resource environment data, including population density, loss rate, average urban road area, scientific expenditure ratio, industrial wastewater discharge, unit GDP energy consumption, urban land occupation ratio, average social electricity consumption and average residential water consumption;
and the third target evaluation index selected from the socioeconomic data comprises final financial institution loans, industrial structure diversified indexes, social consumer product retail sum accounting for GDP proportion, average production sum, urban resident annual available income, average fixed asset investment, actual utilization of foreign resources accounting for GDP proportion and average employee wages.
5. The method for monitoring and evaluating a homeland space planning according to claim 4, wherein in step S20, the method for constructing an evaluation index system based on the target evaluation index comprises the steps of:
s21, selecting a target evaluation index required by the construction of an evaluation index system;
s22, calculating the score value of the target evaluation index, and arranging the score values of the target evaluation index according to the size sequence;
s23, selecting target evaluation indexes meeting the preset selection quantity v according to the sequence from large to small as construction indexes of an evaluation index system.
6. The method for monitoring and evaluating a homeland space planning according to claim 5, wherein in step S22, the calculation method of the target index score value is as follows: and evaluating the importance degree between every two target indexes, adding 1 to the score value of the target index with higher importance degree, traversing all the target indexes until the score value calculation of all the target indexes is completed, and obtaining the score value of the target evaluation index.
7. The method for monitoring and evaluating the homeland space planning according to claim 1, wherein the evaluation model is an urban society-ecosystem restoring force evaluation model, and the method for constructing the evaluation model comprises the following steps:
s31, selecting m objects to be evaluated and n indexes to be evaluated from an evaluation index system, and constructing an original index data matrix;
s32, performing matrix standardization processing on the original index data, and obtaining weights by using an entropy method;
s33, constructing a weighting matrix, determining the optimal scheme and the worst scheme of the j-th item based on the weighting matrix, and calculating Euclidean distance between the optimal scheme and the worst scheme;
s34, constructing an urban society-ecological system restoring force evaluation model, and calculating an evaluation value of the model.
8. The method for monitoring and evaluating the homeland space planning according to claim 1, wherein the evaluation model in step S30 is a single-index bearing capacity evaluation model, and the method for constructing the single-index bearing capacity evaluation model comprises the following steps:
selecting a target evaluation index system, wherein the target evaluation index system is one of a geographical environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
step two, constructing a single-index bearing capacity evaluation model based on target evaluation indexes contained in a target evaluation index system, wherein in the step two, the single-index bearing capacity evaluation model is as follows:
wherein B is s Score value, Q, representing the s-th target evaluation index s And (5) representing the superposition index weight value of the target evaluation index system.
9. A monitoring and assessment system for homeland space planning, comprising:
the data acquisition module is used for acquiring planning information of a planning area, wherein the planning information comprises basic geographic data, resource environment data and socioeconomic data of the planning area;
the evaluation index system construction module is used for selecting target evaluation indexes from planning information and constructing an evaluation index system based on the target evaluation indexes, wherein the evaluation index system comprises a geographic environment evaluation index system, a resource environment evaluation index system and a socioeconomic evaluation index system;
and the evaluation calculation module is used for constructing an evaluation model based on the evaluation index system and calculating an evaluation value of the evaluation model.
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| CN117436708B (en) * | 2023-12-20 | 2024-04-05 | 临沂市规划建筑设计研究院集团有限公司 | Risk assessment method for territorial space planning |
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