CN117522652B - Human living environment vulnerability evaluation method, system, intelligent terminal and storage medium - Google Patents
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Abstract
The invention provides a method, a system, an intelligent terminal and a storage medium for evaluating vulnerability of living environment, in particular to the technical field of environment change and natural resource management, wherein the scheme comprises the following steps: constructing a human living environment geographic information database based on multi-source data and geographic position coordinates related to a target geographic space corresponding to a target human living environment; identifying and classifying the target geographic space based on the data in the database to obtain a plurality of geographic space types; based on each geographic space type, respectively constructing a social-ecological vulnerability evaluation model; and carrying out vulnerability evaluation on the target living environment by using all social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result. According to the scheme, the social ecological vulnerability of the target geographic space is evaluated from different dimensions, and the vulnerability evaluation results of a plurality of single dimensions are integrated into a total vulnerability evaluation result, so that the accuracy and the comprehensiveness of evaluating the vulnerability of the living environment are improved.
Description
Technical Field
The invention relates to the technical field of environmental change and natural resource management, in particular to a method, a system, an intelligent terminal and a storage medium for evaluating vulnerability of a living environment.
Background
At present, due to complex natural conditions and fragile ecological environment of mountain areas, regional development is blocked by natural locations and is influenced by history, society and economic development, geographic space protection and construction are very difficult, and environmental vulnerability assessment technology is needed to assess the ecological environment so as to better protect the ecological environment.
The existing environmental vulnerability assessment method is mainly based on carrying out ecological vulnerability assessment on traditional remote sensing data or statistical data of ecological environment monitoring, the adopted data cannot comprehensively reflect the real ecological condition under the complex human living environment, and the defect that the geographic space corresponding to the human living environment cannot be comprehensively and accurately assessed is overcome.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide a method, a system, an intelligent terminal and a storage medium for evaluating vulnerability of living environment, which aims to solve the problem that the method for evaluating vulnerability of living environment in the prior art cannot comprehensively and accurately evaluate the vulnerability of geographic space corresponding to living environment.
In order to achieve the above object, a first aspect of the present invention provides a method for evaluating vulnerability of living environment, comprising:
determining a target geographic space based on a target living environment, and acquiring multi-source data related to the target geographic space;
constructing a human living environment geographic information database based on the multisource data and geographic position coordinates of the target geographic space;
Identifying and classifying the target geographic space based on the data in the living environment geographic information database to obtain a plurality of geographic space types;
Based on each geographic space type, respectively constructing a social-ecological vulnerability evaluation model;
And carrying out vulnerability evaluation on the target living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result.
Optionally, the identifying and classifying the target geographic space based on the data in the living environment geographic information database to obtain a plurality of geographic space types includes:
Performing dimension division on the data in the human living environment geographic information database to obtain a plurality of data dimensions;
screening data in the living environment geographic information database based on the selected data dimension to obtain a geographic space division index;
And based on the geospatial division index, identifying and classifying the data in the human living environment geographic information database to obtain a plurality of geospatial types.
Optionally, the constructing a social-ecological vulnerability assessment model based on each geospatial type includes:
Determining corresponding exposure analysis indexes, target sensitivity analysis indexes and adaptability analysis indexes based on each geographic space type;
And respectively constructing a social-ecological vulnerability evaluation model based on the exposure degree analysis index, the target sensitivity analysis index and the adaptability analysis index corresponding to each geographic space type.
Optionally, the performing vulnerability assessment on the target living environment by using all the social-ecological vulnerability assessment models to obtain a vulnerability assessment result includes:
performing grid division on the target geographic space to obtain values of various types of data in each grid;
Determining importance ranking of each type of data in the multi-source data, and determining weight of each type of data based on the importance ranking;
Fusing the value of each type of data in each grid and the weight of the corresponding type of data to obtain the weighted value of each type of data in each grid;
and carrying out vulnerability evaluation on the target living environment based on each weighted value to obtain a vulnerability evaluation result.
Optionally, after the vulnerability assessment result is obtained, the method further includes:
based on the vulnerability evaluation result, obtaining a social influence factor and an ecological influence factor which influence the whole target geographic space;
And analyzing interaction influence and combined driving effect between each social influence factor and each ecological influence factor to obtain key factors influencing and restricting the social-ecological vulnerability of the target geographic space.
Optionally, after the obtaining the key factors that influence and restrict the socio-ecological vulnerability of the target geospatial, further includes:
Optimizing each social-ecological vulnerability assessment model based on constraint conditions of target geospatial development and the key factors to obtain a corresponding updated social-ecological vulnerability assessment model;
based on all the updated social-ecological vulnerability assessment models, carrying out vulnerability assessment on the target human living environment to obtain objective vulnerability assessment results;
And planning and adjusting the target geographic space based on the objective vulnerability evaluation result.
A second aspect of the present invention provides a system for evaluating vulnerability of living environment, the system comprising:
the data acquisition module is used for determining a target geographic space based on a target living environment and acquiring multi-source data related to the target geographic space;
The database construction module is used for constructing a human living environment geographic information database based on the multisource data and geographic position coordinates of the target geographic space;
The geographic space type dividing module is used for identifying and classifying the target geographic space based on the data in the living environment geographic information database to obtain a plurality of geographic space types;
The vulnerability assessment model construction module is used for respectively constructing a social-ecological vulnerability assessment model based on each geographic space type;
and the vulnerability evaluation module is used for carrying out vulnerability evaluation on the target living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result.
Optionally, the system further comprises a vulnerability key factor identification module, wherein,
The vulnerability key factor recognition module is used for obtaining social influence factors and ecological influence factors affecting the whole target geographic space based on the vulnerability evaluation result; and analyzing interaction influence and combined driving effect between each social influence factor and each ecological influence factor to obtain key factors influencing and restricting the social-ecological vulnerability of the target geographic space.
The third aspect of the present invention provides an intelligent terminal, which includes a memory, a processor, and a human living environment vulnerability assessment program stored in the memory and operable on the processor, wherein the human living environment vulnerability assessment program when executed by the processor implements any one of the steps of the human living environment vulnerability assessment method.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a human-occupational-environment vulnerability assessment program which, when executed by a processor, implements the steps of any one of the above-described human-environment vulnerability assessment methods.
Compared with the prior art, the beneficial effects of this scheme are as follows:
According to the invention, the multidimensional heterogeneous data of the target geographic space corresponding to the target living environment are utilized to divide the target geographic space corresponding to the target living environment into different geographic space types, each geographic space type is utilized to respectively construct a social-ecological vulnerability evaluation model so as to evaluate the social-ecological vulnerability of the target geographic space from different dimensions, and the accuracy of the evaluation result of each model is improved due to the fact that the index types related to evaluation from a single dimension are fewer, and then the social-ecological vulnerability evaluation results of all the models are integrated into the total vulnerability evaluation result, so that the comprehensiveness of the evaluation of the living environment can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for evaluating vulnerability of living environment according to the invention;
FIG. 2 is a schematic diagram of a human living environment vulnerability assessment system;
Fig. 3 is a schematic structural diagram of an intelligent terminal according to the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The following description of the embodiments of the present invention will be made more fully hereinafter with reference to the accompanying drawings, in which embodiments of the invention are shown, it being evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
The invention provides a method for evaluating vulnerability of a human living environment, which aims at solving the problem that the prior method for evaluating vulnerability of the environment cannot comprehensively and accurately evaluate the vulnerability of the geographic space corresponding to the human living environment, and the method is used for dividing the target geographic space corresponding to the target human living environment in different dimensions based on multi-source heterogeneous data of the target geographic space corresponding to the target human living environment to obtain a plurality of geographic space types; then, respectively constructing a social-ecological vulnerability evaluation model based on each geographic space type; carrying out vulnerability evaluation on a target geographic space corresponding to the target living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result; and screening out key factors influencing social-ecological vulnerability of a target geographic space corresponding to the restricted target living environment based on the vulnerability evaluation result, and further giving out construction opinions and protection opinions about the target geographic space corresponding to the target living environment. The scheme utilizes the multidimensional data characteristics of the target geographic space corresponding to the target human-living environment to divide the target geographic space corresponding to the target human-living environment in different dimensions, including the division of a macroscopic ecological security pattern, a mesoscopic level morphological space and a microscopic level street system, so that the human-living environment is more scientifically and reasonably divided into three areas and three lines, the geographic space form corresponding to the human-living environment which is adapted to nature is controlled, the construction intensity and planning layout of the geographic space corresponding to the human-living environment are regulated, the local conditions are realized, and the accuracy and the scientificity of the target geographic space planning corresponding to the target human-living environment are greatly improved.
Exemplary method
The embodiment of the invention provides a method for evaluating vulnerability of a human living environment, which is deployed on electronic equipment such as a computer, a server and the like, wherein an application scene is a geographic space corresponding to the human living environment, and aims at the situation of evaluating social-ecological vulnerability of the human living environment. The types of the geographic spaces are not limited, and the geographic spaces can be corresponding to complex living environments such as mountain areas of high lands, forests of grasslands, coasts of plain, and the like. Specifically, as shown in fig. 1, the steps of the method in this embodiment include:
Step S100: determining a target geographic space based on a target living environment, and acquiring multi-source data related to the target geographic space;
Specifically, the embodiment obtains multi-source data related to a target geographic space based on the target geographic space corresponding to the target living environment, where the adopted multi-source data includes conventional remote sensing data, meteorological observation, socioeconomic statistics data, land utilization data, and network data such as point of interest (Point of Interest, POI) data, platform search index data, enterprise data related to living environment geographic information data, and the network data can be obtained through a web crawler technology or through an application program interface API provided by a network platform.
Step S200: constructing a human living environment geographic information database based on the multisource data and geographic position coordinates of the target geographic space;
specifically, based on geographic position coordinates, the obtained multi-source data are respectively imported into GIS software according to data types to construct a human living environment geographic information database.
Step S300: identifying and classifying the target geographic space based on the data in the living environment geographic information database to obtain a plurality of geographic space types;
Specifically, firstly, data in a human living environment geographic information database is subjected to standardized processing so as to scale the data of different orders to the same order, so that the data of different orders can be classified and divided later.
And then, taking an ecological structure, an agricultural space and a town space as a division target, adopting a classification method such as a GIS space analysis method or a clustering method and the like to identify and classify the target geographic space corresponding to the target living environment according to geographic position coordinates and data of various dimensions under each geographic position coordinate to obtain a plurality of geographic space types capable of representing the characteristics of different data dimensions, so as to analyze the social and ecological fragility of the target geographic space corresponding to the target living environment from different dimensions.
Step S400: based on each geographic space type, respectively constructing a social-ecological vulnerability evaluation model;
Specifically, based on the exposure degree-sensitivity-adaptability (Vulnerability-Scoping-Diagram, VSD) model of the social-ecological system, a social-ecological vulnerability assessment model is established according to each geographic space type, and the social and ecological vulnerability of each geographic space type is assessed from three aspects of the exposure degree, sensitivity and adaptability of the social-ecological system so as to accurately reflect the social and ecological vulnerability of the geographic space corresponding to different types of human living environments from different dimensions.
The exposure degree is the degree of external pressure or impact experienced by the target geographic space corresponding to the target living environment and is used for reflecting the parameter of the degree of interference or stress. Socio-ecological exposure is typically characterized by an index of both socioeconomic profiles and social activity disturbances. Sensitivity is the sensitivity response and self-recovery capability of a target geospatial space corresponding to a target human living environment relative to external interference under a specific space-time scale. The ecological sensitivity is generally characterized by indexes such as environmental quality, water resource condition, climate condition, topography condition and the like of a natural ecological system. The more abundant the ecological resource, the higher the water resource amount per unit area, the lower the water pollution ratio, the less extreme climate, the flatter the terrain, the faster the recovery rate after external interference, and the lower the ecological sensitivity. Adaptive capacity is the ability of a target geographic space corresponding to a target living environment to handle, accommodate, and recover from the consequences of stress. The adaptive capacity of the social and ecological system is generally characterized by indexes such as economic and social development, social service capacity, ecological protection consciousness and capacity and the like. The higher the index value, the greater the environmental protection, the stronger the ecological adaptability, and the faster the recovery rate from interference.
Step S500: and carrying out vulnerability evaluation on the target living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result.
Specifically, the social and ecological vulnerabilities shown by the social-ecological vulnerability assessment model corresponding to each geographic space type are combined to summarize and summarize the social and ecological vulnerabilities of the target geographic space corresponding to the whole target living environment, so that the overall social and ecological vulnerability assessment result of the target geographic space corresponding to the target living environment is accurately reflected.
In the embodiment, the multidimensional heterogeneous data of the target geographic space corresponding to the target living environment is utilized to divide the target geographic space corresponding to the target living environment into different geographic space types, a social-ecological vulnerability evaluation model is respectively constructed by utilizing each geographic space type to perform social-ecological vulnerability evaluation, and the social-ecological vulnerability evaluation results of all the models are integrated into the overall vulnerability evaluation result of the target geographic space corresponding to the target living environment, so that the three-region three-line of the living environment is more scientifically and reasonably divided for the target living environment, the geographic space form corresponding to the living environment which is naturally adapted is controlled, the construction intensity and the planning layout of the geographic space corresponding to the living environment are regulated, the condition is realized, and the accuracy and the scientificity of the target geographic space planning corresponding to the target living environment are greatly improved.
In one embodiment, the identifying and classifying the target geographic space based on the data in the living environment geographic information database in step S300 to obtain a plurality of geographic space types includes:
Step S310: performing dimension division on the data in the human living environment geographic information database to obtain a plurality of data dimensions;
step S330: screening data in the living environment geographic information database based on the selected data dimension to obtain a geographic space division index;
Specifically, considering that the target geographic space corresponding to the target living environment is divided into different dimensions including the division of a macroscopic ecological security pattern, a mesoscopic level morphological space and a microscopic level street system, the embodiment takes the dimensions of the horizontal form and the vertical form, the town and country form, the agriculture and industry form and the like of the target geographic space corresponding to the target living environment as geographic space division indexes.
Step S330: and based on the geospatial division index, identifying and classifying the data in the human living environment geographic information database to obtain a plurality of geospatial types.
Specifically, based on the above-mentioned geospatial division indexes of the macroscopic level ecological security pattern, the mesoscopic level morphological space and the microscopic level street system, respectively, the data in the human living environment geographic information database are identified and classified to obtain a plurality of geographic space types.
In this embodiment, the target geographic space corresponding to the target living environment is divided into different dimensions from the macroscopic ecological security pattern, the mesoscopic level morphological space and the microscopic level street system respectively, so that geographic space types capable of reflecting different dimension levels are obtained, that is, data on the same geographic position coordinates in the target geographic space corresponding to the target living environment are classified into different geographic space types in different dimensions, and multi-dimensional comprehensive analysis of the same data is realized, so as to improve the accuracy of the division.
In one embodiment, the constructing a social-ecological vulnerability assessment model in step S400 based on each of the geospatial types includes:
step S410: determining corresponding exposure analysis indexes, target sensitivity analysis indexes and adaptability analysis indexes based on each geographic space type;
Step S420: and respectively constructing a social-ecological vulnerability evaluation model based on the exposure degree analysis index, the target sensitivity analysis index and the adaptability analysis index corresponding to each geographic space type.
Specifically, firstly, indexes such as population density, GDP density, carbon dioxide emission, sulfur dioxide emission and fertilizer application amount intensity are selected to represent the socio-ecological exposure according to two aspects of socio-economic distribution and social activity interference. According to four aspects of natural ecosystem environmental quality, water resource condition, climate condition and topography condition, the net primary productivity of the ecosystem, the ecological environment quality index, vegetation coverage index, water network density index, water quality, water yield, wettability, accumulated temperature of more than or equal to 10 ℃, annual average wind speed, gradient and elevation and other indexes are selected to represent ecological sensitivity, and the higher the ecological resource, the higher the water resource quantity per unit area, the lower the pollution water occupation ratio, the less extreme climate, the flatter the topography, the faster the recovery rate after external interference and the lower the ecological sensitivity. According to three aspects of economic and social development, social service capability and ecological protection consciousness and capability, the social ecological system adaptability is characterized by selecting indexes such as an industrial diversity index, a population urbanization rate, average available income, average general financial expenditure, social attraction, commercial activity, ten thousand medical beds, ten thousand sanitary technicians, education degree of residents, environmental protection investment specific gravity, population attraction, population structure health degree, forestation area ratio, average park green area and sewage treatment rate, and the higher the index value is, the greater the environmental protection force is, the greater the ecological adaptability is, and the faster the recovery rate from interference is.
Then, a social-ecological vulnerability assessment model is respectively constructed based on the target sensitivity analysis index and the adaptability analysis index corresponding to the exposure degree of each geographic space type.
In this embodiment, a social-ecological vulnerability assessment model is respectively constructed based on target geospatial data corresponding to target human living environments corresponding to different geospatial types, so as to reflect distribution characteristics and rules of the geospatial data corresponding to human living environments, and thus analyze the mutual influence and restriction relation among three aspects of exposure, sensitivity and adaptability of the geospatial data of different dimensions.
In one embodiment, the performing, in step S500, the vulnerability assessment on the target living environment by using all the social-ecological vulnerability assessment models, to obtain a vulnerability assessment result includes:
step S510: performing grid division on the target geographic space to obtain values of various types of data in each grid;
Specifically, based on a geographic information operating system (Geographic Information System, GIS), dividing a target geographic space corresponding to a target living environment into a plurality of grids, and obtaining values of various types of data included in each grid;
It is readily understood that the above-described divided geospatial data for each dimension includes several types of data, reflecting that the geospatial types at different dimension levels also correspond to multiple types of data. For example, if urban and rural gradient dimension data are currently studied, data related to towns and villages (such as population urbanization rate, average dominant income, average general financial expenditure, social attraction, business vitality, number of thousands of medical beds, number of thousands of health technicians, education degree of residents and the like) need to be collected, and corresponding geospatial types are formed by utilizing the data, so that a social-ecological vulnerability assessment model is constructed.
Step S520: determining importance ranking of each type of data in the multi-source data, and determining weight of each type of data based on the importance ranking;
Specifically, according to research emphasis of practical application, determining importance of the exposure analysis index, the target sensitivity analysis index and the adaptability analysis index corresponding to each type of data in the multi-source data; and based on the importance ranking, obtaining weights of the exposure degree analysis index, the target sensitivity analysis index and the adaptability analysis index which are matched with the current research key.
Step S530: fusing the value of each type of data in each grid and the weight of the corresponding type of data to obtain the weighted value of each type of data in each grid;
Specifically, the values of the various types of data in each grid and the weights of the corresponding types of data are multiplied to obtain the weighted values of the various types of data in each grid.
Step S540: and carrying out vulnerability evaluation on the target living environment based on each weighted value to obtain a vulnerability evaluation result.
Specifically, based on the weighted value of each type of data in each grid, analysis indexes in each social-ecological vulnerability assessment model under different dimensions are respectively analyzed to reflect comprehensive social-ecological vulnerability assessment results of the geographic space corresponding to each geographic space type in three aspects of exposure, sensitivity and adaptability, and then vulnerability assessment results of the geographic space data corresponding to the human living environment of all dimensions are integrated to obtain overall vulnerability assessment results of the target geographic space corresponding to the whole target human living environment in three aspects of exposure, sensitivity and adaptability.
In the embodiment, the vulnerability of the single dimension is firstly evaluated on the target geographic space data corresponding to the target living environment, so that the variety of evaluation indexes can be reduced, and the evaluation accuracy is improved; and then, by integrating the vulnerability evaluation results of all dimensions, the overall vulnerability evaluation results of the target geographic space corresponding to the whole target living environment in three aspects of exposure, sensitivity and adaptability are obtained, and the comprehensiveness and accuracy of the comprehensive vulnerability evaluation results of the same item of data in multiple dimensions can be improved.
Further, in one embodiment, after the vulnerability assessment result is obtained, the method further includes step S600, where the step S600 specifically includes:
step S610: based on the vulnerability evaluation result, obtaining a social influence factor and an ecological influence factor which influence the whole target geographic space;
Specifically, based on the vulnerability evaluation result, a vulnerability space pattern of the target geographic space and vulnerability levels of each local target geographic space are obtained, so that social influence factors and ecological influence factors affecting the target geographic space pattern corresponding to the whole target human living environment are obtained.
Step S620: and analyzing interaction influence and combined driving effect between each social influence factor and each ecological influence factor to obtain key factors influencing and restricting the social-ecological vulnerability of the target geographic space.
In this embodiment, based on the vulnerability evaluation result, the vulnerability spatial pattern of the target geographic space and the vulnerability level of each local target geographic space can be further analyzed, so as to obtain key factors affecting and restricting the social-ecological vulnerability of the target human living environment, so that the tight connection and restriction degree between the exposure degree, sensitivity and adaptability of the target human living environment can be analyzed according to the key factors.
Further, in one embodiment, after obtaining the key factors affecting and restricting the socio-ecological vulnerability of the target geographic space, the method further includes step S700, where step S700 specifically includes:
Step S710: optimizing each social-ecological vulnerability assessment model based on constraint conditions of target geospatial development and the key factors to obtain a corresponding updated social-ecological vulnerability assessment model;
step S720: based on all the updated social-ecological vulnerability assessment models, carrying out vulnerability assessment on the target human living environment to obtain objective vulnerability assessment results;
step S730: and planning and adjusting the target geographic space based on the objective vulnerability evaluation result.
Specifically, according to objective constraint conditions in the aspects of geography, environment and the like which influence the development of a target geographic space corresponding to a target human living environment, and the obtained key factors are combined, each social-ecological vulnerability evaluation model is optimized and updated, so that vulnerability evaluation is carried out on the target human living environment again according to all updated social-ecological vulnerability evaluation models, objective vulnerability evaluation results are obtained, and the objective vulnerability evaluation results have more important and practical operable reference values for planning and adjusting the human living environment, so that important social benefits and economic values are brought.
Exemplary System
As shown in fig. 2, corresponding to the method for evaluating vulnerability of living environment, the embodiment of the invention further provides a system for evaluating vulnerability of living environment, where the system for evaluating vulnerability of living environment includes:
a data acquisition module 210, configured to determine a target geographic space based on a target living environment, and acquire multi-source data related to the target geographic space;
a database construction module 220, configured to construct a human living environment geographic information database based on the multisource data and the geographic position coordinates of the target geographic space;
the geospatial type dividing module 230 is configured to identify and categorize the target geospatial based on the data in the living environment geographic information database, and obtain a plurality of geospatial types;
The vulnerability assessment model construction module 240 is configured to construct a social-ecological vulnerability assessment model based on each of the geospatial types;
And the vulnerability evaluation module 250 is configured to perform vulnerability evaluation on the target living environment by using all the social-ecological vulnerability evaluation models, so as to obtain a vulnerability evaluation result.
Further, the system further comprises a vulnerability key factor recognition module, wherein the vulnerability key factor recognition module is used for obtaining a social influence factor and an ecological influence factor which influence the whole target geographic space based on the vulnerability evaluation result; and analyzing interaction influence and combined driving effect between each social influence factor and each ecological influence factor to obtain key factors influencing and restricting the social-ecological vulnerability of the target geographic space.
Specifically, in this embodiment, the specific function of the human living environment vulnerability assessment system may refer to the corresponding description in the human living environment vulnerability assessment method, which is not described herein again.
Based on the above embodiment, the present invention further provides an intelligent terminal, and a functional block diagram thereof may be shown in fig. 3. The intelligent terminal comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. The processor of the intelligent terminal is used for providing computing and control capabilities. The memory of the intelligent terminal comprises a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores an operating system and a human-living environment vulnerability assessment program. The internal memory provides an environment for an operating system and a human-occupiable environment-based vulnerability assessment program in a nonvolatile storage medium to run. The network interface of the intelligent terminal is used for communicating with an external terminal through network connection. The method for evaluating the vulnerability of the living environment comprises the step of realizing any one of the above-mentioned methods for evaluating the vulnerability of the living environment when the program is executed by a processor. The display screen of the intelligent terminal can be a liquid crystal display screen or an electronic ink display screen.
It will be appreciated by those skilled in the art that the schematic block diagram shown in fig. 3 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the smart terminal to which the present inventive arrangements are applied, and that a particular smart terminal may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, an intelligent terminal is provided, where the intelligent terminal includes a memory, a processor, and a human living environment vulnerability assessment program stored in the memory and capable of running on the processor, where the human living environment vulnerability assessment program implements any one of the steps of the human living environment vulnerability assessment method provided by the embodiment of the present invention when executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a human living environment vulnerability evaluation program, and the human living environment vulnerability evaluation program realizes any one of the steps of the human living environment vulnerability evaluation method provided by the embodiment of the invention when being executed by a processor.
It should be understood that the sequence number of each step in the above embodiment does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not be construed as limiting the implementation process of the embodiment of the present invention.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units described above is merely a logical function division, and may be implemented in other manners, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions, which do not depart from the spirit and scope of the embodiments of the invention, are intended to be included within the scope of the present invention.
Claims (9)
1. The method for evaluating the vulnerability of the living environment is characterized by comprising the following steps of:
determining a target geographic space based on a target living environment, and acquiring multi-source data related to the target geographic space;
constructing a human living environment geographic information database based on the multisource data and geographic position coordinates of the target geographic space;
Identifying and classifying the target geographic space based on the data in the human living environment geographic information database to obtain a plurality of geographic space types, wherein the geographic space types are obtained based on a macroscopic level ecological security pattern, a mesoscopic level morphological space and a microscopic level street system;
Based on each geographic space type, respectively constructing a social-ecological vulnerability evaluation model;
carrying out vulnerability evaluation on the target living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result;
The vulnerability evaluation is carried out on the target living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result, which comprises the following steps:
performing grid division on the target geographic space to obtain values of various types of data in each grid; determining importance ranking of each type of data in the multi-source data, and determining weight of each type of data based on the importance ranking; fusing the value of each type of data in each grid and the weight of the corresponding type of data to obtain the weighted value of each type of data in each grid; based on the weighted values, carrying out vulnerability evaluation on the target human living environment by utilizing each social-ecological vulnerability evaluation model to obtain a vulnerability evaluation result;
and carrying out standardized processing on the data in the human-occupied environment geographic information database so as to scale the data with different magnitudes to the same magnitude.
2. The method for evaluating vulnerability of living environment according to claim 1, wherein the identifying and classifying the target geographic space based on the data in the living environment geographic information database to obtain a plurality of geographic space types comprises:
Performing dimension division on the data in the human living environment geographic information database to obtain a plurality of data dimensions;
screening data in the living environment geographic information database based on the selected data dimension to obtain a geographic space division index;
And based on the geospatial division index, identifying and classifying the data in the human living environment geographic information database to obtain a plurality of geospatial types.
3. The method for evaluating the vulnerability of living environment according to claim 1, wherein the step of constructing a social-ecological vulnerability evaluation model based on each of the geospatial types comprises the steps of:
Determining corresponding exposure analysis indexes, target sensitivity analysis indexes and adaptability analysis indexes based on each geographic space type;
And respectively constructing a social-ecological vulnerability evaluation model based on the exposure degree analysis index, the target sensitivity analysis index and the adaptability analysis index corresponding to each geographic space type.
4. The method for evaluating vulnerability of living environment according to claim 1, further comprising, after the obtaining of the vulnerability evaluation result:
based on the vulnerability evaluation result, obtaining a social influence factor and an ecological influence factor which influence the whole target geographic space;
And analyzing interaction influence and combined driving effect between each social influence factor and each ecological influence factor to obtain key factors influencing and restricting the social-ecological vulnerability of the target geographic space.
5. The method for evaluating the vulnerability of living environment according to claim 4, further comprising, after said obtaining key factors affecting and restricting the socio-ecological vulnerability of the target geographic space:
Optimizing each social-ecological vulnerability assessment model based on constraint conditions of target geospatial development and the key factors to obtain a corresponding updated social-ecological vulnerability assessment model;
based on all the updated social-ecological vulnerability assessment models, carrying out vulnerability assessment on the target human living environment to obtain objective vulnerability assessment results;
And planning and adjusting the target geographic space based on the objective vulnerability evaluation result.
6. A human-occupied environmental vulnerability assessment system, the system comprising:
the data acquisition module is used for determining a target geographic space based on a target living environment and acquiring multi-source data related to the target geographic space;
The database construction module is used for constructing a human living environment geographic information database based on the multisource data and geographic position coordinates of the target geographic space;
The geographic space type dividing module is used for identifying and classifying the target geographic space based on the data in the living environment geographic information database to obtain a plurality of geographic space types, wherein the geographic space types are obtained based on a macroscopic level ecological security pattern, a mesoscopic level morphological space and a microscopic level street system; carrying out standardized processing on the data in the human-occupied environment geographic information database so as to scale the data with different magnitudes to the same magnitude;
The vulnerability assessment model construction module is used for respectively constructing a social-ecological vulnerability assessment model based on each geographic space type;
The vulnerability evaluation module is used for performing vulnerability evaluation on the target human living environment by utilizing all the social-ecological vulnerability evaluation models to obtain a vulnerability evaluation result;
The vulnerability evaluation module is further used for carrying out grid division on the target geographic space to obtain values of various types of data in each grid; determining importance ranking of each type of data in the multi-source data, and determining weight of each type of data based on the importance ranking; fusing the value of each type of data in each grid and the weight of the corresponding type of data to obtain the weighted value of each type of data in each grid; and carrying out vulnerability evaluation on the target human living environment by utilizing each social-ecological vulnerability evaluation model based on each weighted value to obtain a vulnerability evaluation result.
7. The human-occupied environmental vulnerability assessment system of claim 6, further comprising a vulnerability key factor recognition module, wherein,
The vulnerability key factor recognition module is used for obtaining social influence factors and ecological influence factors affecting the whole target geographic space based on the vulnerability evaluation result;
And analyzing interaction influence and combined driving effect between each social influence factor and each ecological influence factor to obtain key factors influencing and restricting the social-ecological vulnerability of the target geographic space.
8. The intelligent terminal, characterized in that the intelligent terminal comprises a memory, a processor and a human living environment vulnerability assessment program stored on the memory and capable of running on the processor, wherein the human living environment vulnerability assessment program realizes the steps of the human living environment vulnerability assessment method according to any one of claims 1-5 when executed by the processor.
9. A computer-readable storage medium, wherein a human-occupiable environment vulnerability assessment program is stored on the computer-readable storage medium, which when executed by a processor, implements the steps of the human-occupiable environment vulnerability assessment method according to any one of claims 1 to 5.
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