CN116934139A - Method, device and equipment for identifying ecological function space response of water in town process - Google Patents
Method, device and equipment for identifying ecological function space response of water in town process Download PDFInfo
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Abstract
The invention relates to the field of data analysis, in particular to a method, a device and equipment for identifying the space response of a water ecological function in a urbanization process, which are used for extracting a water city space coupling factor formed by the urbanization level factor and the water ecological function factor of a target area, adopting a space autocorrelation method and combining the water city space coupling factor to more clearly and directly analyze the space response condition between the urbanization level and the water ecological function, discussing the change of the space coupling synergistic relationship between the urbanization level and the water ecological function in different urbanization stages so as to identify the space response of the water ecological function in the urbanization process, and providing scientific decision support for urban planning in different urbanization stages.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a method, a device, equipment and a storage medium for identifying space response of ecological functions in water in a urbanization process.
Background
The water is an important ecological resource, is a foundation for supporting the whole earth life system, and the water ecological system not only provides basic products for maintaining human life and production activities, but also has the functions of maintaining the natural ecological system structure, ecological process and regional ecological environment.
In recent years, the scarcity of water resources, the deterioration of water ecosystems and the influence on other ecosystems become a global major challenge, meanwhile, along with the rapid development of economy and society, the requirements of the acceleration of the urban process on water ecological functions are also higher and higher, and the realization of the sustainable development between urban process and water ecology is gradually attracting a great deal of attention.
Disclosure of Invention
Based on the above, the application aims to provide a method, a device, equipment and a storage medium for identifying the space response of the water ecological function in the urbanization process, which are used for extracting the space coupling factor of the water city formed by the urbanization level factor and the water ecological function factor of the target area, adopting a space autocorrelation method and combining the space coupling factor of the water city to more clearly and directly analyze the space response condition between the urbanization level and the water ecological function, discussing the change of the space coupling synergistic relationship between the urbanization level and the water ecological function in different urbanization stages so as to identify the space response of the water ecological function in the urbanization process, and providing scientific decision support for the city planning in different urbanization stages.
In a first aspect, an embodiment of the present application provides a method for identifying a space response of an ecological function of water in a urbanization process, including the following steps:
Acquiring a basic data set of a target area, dividing the target area into a plurality of grid cells, and acquiring a plurality of basic data sets corresponding to the grid cells;
according to the basic data set corresponding to each grid unit, calculating a water city space coupling factor set corresponding to each grid unit, wherein the water city space coupling factor set comprises a plurality of urbanization level factors and a plurality of water ecology function factors;
calculating the urban horizontal comprehensive index and the water ecological function comprehensive index corresponding to each grid unit according to the water city space coupling factor set corresponding to each grid unit;
obtaining the recognition result of the urbanization process corresponding to each grid unit according to the urbanization level comprehensive index corresponding to each grid unit by adopting a natural breakpoint method;
obtaining a space response identification result corresponding to each grid unit according to the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid unit;
and obtaining the space response recognition result of the water ecological function in the urbanization process corresponding to each grid unit according to the recognition result of the urbanization stage corresponding to each grid unit and the space response recognition result.
In a second aspect, an embodiment of the present application provides a device for identifying a space response of an ecological function of water in a urbanization process, including:
the data acquisition module is used for acquiring a basic data set of a target area, dividing the target area into a plurality of grid cells and acquiring the basic data set corresponding to the grid cells;
the factor calculation module is used for calculating a water city space coupling factor set corresponding to each grid unit according to the basic data set corresponding to each grid unit, wherein the water city space coupling factor set comprises a plurality of urbanization level factors and a plurality of water ecology function factors;
the index calculation module is used for calculating the urban horizontal comprehensive index and the water ecological function comprehensive index corresponding to each grid unit according to the water city space coupling factor set corresponding to each grid unit;
the urbanization process identification module is used for obtaining the corresponding urbanization process identification result of each grid unit according to the corresponding urbanization level comprehensive index of each grid unit by adopting a natural breakpoint method;
the space response identification module is used for obtaining space response identification results corresponding to the grid cells according to the town horizontal comprehensive indexes and the water ecological function comprehensive indexes corresponding to the grid cells;
And the data association module is used for obtaining the space response recognition result of the water ecological function in the urbanization process corresponding to each grid unit according to the recognition result of the urbanization stage corresponding to each grid unit and the space response recognition result.
In a third aspect, an embodiment of the present application provides a computer device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, where the steps of the method for identifying a water ecological function space response in a urbanized process according to the first aspect are implemented when the computer program is executed by the processor.
In a fourth aspect, an embodiment of the present application provides a storage medium storing a computer program which, when executed by a processor, implements the steps of the method for identifying a spatial response of a water ecological function in a urbanized process according to the first aspect.
In the embodiment of the application, a method, a device, equipment and a storage medium for identifying the space response of the water ecological function in the urbanization process are provided, the space coupling factor of the water city formed by the urbanization level factor and the water ecological function factor of the target area is extracted, the space self-correlation method is adopted, the space response condition between the urbanization level and the water ecological function is more clearly and directly analyzed by combining the space self-correlation method with the space coupling factor of the water city, the change of the space coupling synergistic relationship between the urbanization level and the water ecological function in different urbanization stages is discussed, so that the space response of the water ecological function in the urbanization process is identified, and scientific decision support can be provided for urban planning in different urbanization stages.
For a better understanding and implementation, the present application is described in detail below with reference to the drawings.
Drawings
FIG. 1 is a schematic flow chart of a method for identifying spatial response of ecological functions in water in a urbanization process according to an embodiment of the present application;
FIG. 2 is a schematic diagram of S2 in a flow of a method for identifying spatial response of ecological functions in water in a urbanization process according to an embodiment of the present application;
FIG. 3 is a schematic diagram of S2 in a flow of a method for identifying spatial response of ecological functions in water in a urbanization process according to an embodiment of the present application;
FIG. 4 is a schematic diagram of S3 in a flow of a method for identifying spatial response of ecological functions in water in a urbanization process according to an embodiment of the present application;
FIG. 5 is a schematic diagram of S5 in a flow of a method for identifying spatial response of ecological functions in water in a urbanization process according to an embodiment of the present application;
FIG. 6 is a schematic structural diagram of a device for identifying the spatial response of the ecological function of water in a urbanization process according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. 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 also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein 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. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the application. The word "if"/"if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination", depending on the context.
Referring to fig. 1, fig. 1 is a flow chart of a method for identifying a spatial response of an ecological function in a water in a urbanization process according to an embodiment of the present application, the method includes the following steps:
S1: and acquiring a basic data set of a target area, dividing the target area into a plurality of grid cells, and acquiring the basic data set corresponding to the grid cells.
The main execution body of the method for identifying the ecological function space response in the urbanization process is an identification device (hereinafter referred to as identification device) of the method for identifying the ecological function space response in the urbanization process, and in an alternative embodiment, the identification device may be a computer device, a server, or a server cluster formed by combining multiple computer devices.
In this embodiment, the identifying device may acquire a basic data set of the target area input by the user, or may acquire time and a geographic position of the target area input by the user, and acquire a corresponding basic data set from a preset database based on the time and the geographic position of the target area. Wherein the base data set includes elevation data, land area data, land utilization data, soil data, weather data, demographic data, and regional production summary data.
The elevation data is DEM (Digital Elevation Model) data, can reflect local topography features with a certain resolution, and is important original data for researching and analyzing topography, watershed and ground feature identification. The land utilization data are data materials reflecting the state, the characteristics, the dynamic change and the distribution characteristics of a land utilization system and land utilization elements, and the development and the utilization of the land, the improvement and the improvement of the land, the management and the protection, the land utilization planning and the like of human beings. Soil data includes sand, powder, clay, organic carbon content, and limited root depth data. The weather data includes rainfall data, sunlight, air temperature data, etc. The socioeconomic data include the data of GDP, population, etc. of the research area, mainly from the statistics annual views of each administrative unit in the area, wherein the administrative units are administrative division units, including province, county and county.
In order to divide the target area into a series of regular, relatively uniform space units for statistics and analysis, the identification device divides the target area into a plurality of grid units, obtains a plurality of basic data sets corresponding to the grid units, and in an optional embodiment, the identification device may utilize a fishing net tool in ArcGIS software to perform equidistant grid division on the target area, and may determine the size of the grid units according to the space geometric scale, data characteristics and accuracy requirements of the target area.
S2: and calculating a water city space coupling factor set corresponding to each grid unit according to the basic data set corresponding to each grid unit.
The water city space coupling factor is the representation of the interaction between the urbanization level and the water ecological function, and can reflect the interaction between the urbanization level and the water ecological function in the process of urbanization more comprehensively.
The water city space coupling factor set comprises a plurality of urbanization level factors and a plurality of water ecology function factors, wherein the urbanization level factors comprise building land area factors, population density factors and regional production total value factors, and the urbanization degree in the process of urbanization can be reflected.
The water ecosystem functional factors comprise water yield functional factors, soil maintenance functional factors and water quality purification functional factors, and can reflect the degree of the water ecosystem on the service functions of various substances and non-substances provided by the social and economic development and the ecological environment maintenance.
In this embodiment, the identifying device calculates, according to the basic data set corresponding to each grid cell, a water city space coupling factor set corresponding to each grid cell.
Referring to fig. 2, fig. 2 is a schematic diagram of step S2 in the flow of the method for identifying the spatial response of the ecological function of water in the urbanization process according to an embodiment of the present application, including steps S201 to S205, specifically as follows:
s201: and dividing the building area corresponding to the same grid unit by the total land area according to the building area in the land utilization data corresponding to each grid unit and the total land area in the land area data, and obtaining the building area factors corresponding to each grid unit.
The construction area factor refers to a ratio of construction area to total area, and may reflect an expansion condition of urban land, and in this embodiment, the identifying device divides the construction area corresponding to the same grid unit by the total area according to the construction area in the land utilization data corresponding to each grid unit and the total area in the land area data, so as to obtain the construction area factor corresponding to each grid unit.
S202: and obtaining a plurality of administrative units of the target area, and obtaining population data, construction land area and regional production total value data corresponding to each administrative unit according to the basic data set of the target area.
Since urban construction is generally prioritized over administrative units, in order to extract the water city space coupling factor set corresponding to each grid unit more accurately, in this embodiment, the identifying device obtains a plurality of administrative units of the target area, and obtains population data, construction land area, and regional production total value data corresponding to each administrative unit according to the basic data set of the target area.
S203: and dividing the population data corresponding to the same administrative unit by the building area according to the population data and the building area corresponding to each administrative unit to obtain population density data on the building area corresponding to each administrative unit, and dividing the region production total value data corresponding to the same administrative unit by the building area according to the region production total value data and the building area corresponding to each administrative unit to obtain region production total value density data on the building area corresponding to each administrative unit.
In this embodiment, the identifying device divides the population data corresponding to the same administrative unit from the building area according to the population data and the building area corresponding to each administrative unit, obtains population density data on the building area corresponding to each administrative unit, divides the region production total value data and the building area corresponding to each administrative unit, and obtains region production total value density data on the building area corresponding to each administrative unit.
S204: and carrying out space overlapping on the grid units and the administrative units to obtain proportionality coefficients corresponding to a plurality of administrative units overlapped by each grid unit, multiplying population density data and proportionality coefficients on a building land area corresponding to the same administrative unit to obtain unit population densities corresponding to each administrative unit overlapped by each grid unit, and accumulating the unit population densities corresponding to a plurality of administrative units overlapped by the same grid unit to obtain population density factors corresponding to each grid unit.
Population density factor refers to the number of people per square kilometer, one of the important indicators reflecting the degree of urbanization. In this embodiment, the identifying device spatially overlaps the grid units and the administrative units to obtain scaling coefficients corresponding to the plurality of administrative units overlapped by each grid unit, multiplies population density data and scaling coefficients on the building land area corresponding to the same administrative unit to obtain population densities of units corresponding to each administrative unit overlapped by each grid unit, and accumulates population densities of units corresponding to the plurality of administrative units overlapped by the same grid unit to obtain population density factors corresponding to each grid unit.
S205: multiplying the regional production total value density data and the proportionality coefficient on the building land area corresponding to the same administrative unit to obtain the unit regional production total value density corresponding to each administrative unit overlapped by each grid unit, and accumulating the unit regional production total value densities corresponding to a plurality of administrative units overlapped by the same grid unit to obtain the regional production total value factor corresponding to each grid unit.
The regional production total factor refers to the total amount of GDP per square kilometer and can reflect the level of urban economy. In this embodiment, the identifying device multiplies the regional production total value density data and the scaling factor on the building land area corresponding to the same administrative unit to obtain the unit regional production total value density corresponding to each administrative unit overlapped by each grid unit, and adds the unit regional production total value densities corresponding to a plurality of administrative units overlapped by the same grid unit to obtain the regional production total value factor corresponding to each grid unit.
Referring to fig. 3, fig. 3 is a schematic diagram of S2 in the flow of the method for identifying the spatial response of the ecological function of water in the urbanization process according to an embodiment of the present application, including step S211, specifically as follows:
s211: and inputting land utilization data, soil data and meteorological data corresponding to each grid cell into a preset water ecological function factor calculation model to obtain water yield function factors, soil maintenance function factors and water quality purification function factors corresponding to each grid cell.
The water ecological function factor calculation model adopts an integrated evaluation model of InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) ecosystem service and trade-off, integrates various biophysical and socioeconomic data, and provides a series of ecosystem service evaluation capabilities.
In this embodiment, the identification device inputs land utilization data, soil data and meteorological data corresponding to each grid cell into a preset water ecological function factor calculation model, and obtains a water yield function factor, a soil maintenance function factor and a water quality purification function factor corresponding to each grid cell. Specifically, the water yield functional factor can be estimated by adopting a water yield module in the InVEST model, the soil maintenance functional factor can be estimated by adopting an SDR module in the InVEST model, and the water quality purification functional factor can be estimated by adopting an NDR module of the InVEST model.
S3: and calculating the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid unit according to the water city space coupling factor set corresponding to each grid unit.
In this embodiment, the identifying device calculates, according to the water city space coupling factor set corresponding to each grid cell, a urbanization level comprehensive index and a water ecological function comprehensive index corresponding to each grid cell.
Referring to fig. 4, fig. 4 is a schematic diagram of step S3 in the flow of the method for identifying the spatial response of the ecological function of water in the urbanization process according to an embodiment of the present application, including steps S301 to S302, specifically as follows:
S301: and obtaining the urbanization level comprehensive index corresponding to each grid unit according to the building land area factor, population density factor, regional production total value factor and a preset urbanization level comprehensive index calculation algorithm corresponding to each grid unit.
The urban level comprehensive index calculation algorithm is as follows:
wherein UI is the urban level comprehensive index, PU is the population density factor, EU is the total value factor produced by the region, LU is the construction land factor.
In this embodiment, the identifying device obtains the urbanization level comprehensive index corresponding to each grid unit according to the building floor area factor, population density factor, regional production total value factor and a preset urbanization level comprehensive index calculation algorithm corresponding to each grid unit.
S302: and obtaining the water ecological function comprehensive index corresponding to each grid unit according to the water yield function factor, the soil maintenance function factor, the water quality purification function factor and a preset water ecological function comprehensive index calculation algorithm corresponding to each grid unit.
The water ecological function comprehensive index calculation algorithm is as follows:
Wherein WESI is the comprehensive index of the water ecological function, WES i Is the ith water ecological function factor.
In this embodiment, the identifying device obtains the water ecological function comprehensive index corresponding to each grid unit according to the water yield function factor, the soil maintenance function factor, the water quality purification function factor and the preset water ecological function comprehensive index calculation algorithm corresponding to each grid unit by adopting an accumulation method.
S4: and obtaining the recognition result of the urbanization process corresponding to each grid cell according to the urbanization level comprehensive index corresponding to each grid cell by adopting a natural breakpoint method.
In this embodiment, the identification device adopts a natural breakpoint method, and labels each grid cell according to the urbanization level comprehensive index corresponding to each grid cell, so as to obtain label data of the urbanization stage of each grid cell, and the label data is used as the identification result of the urbanization process.
The urban stage label data comprise low urban stage label data, medium urban stage label data and high urban stage label data, wherein the surface grid units of the low urban stage label data are in a low urban stage, the urban level is relatively low, the urban process is in a starting stage, and the urban space range is relatively small; the medium town stage label data surface grid unit is in the medium town stage, and has medium town degree, medium city scale and relatively dispersed town space range; the label data surface grid unit in the high town stage is in the high town stage, and has the advantages of higher town degree, large city scale and relatively wide town space range.
S5: and obtaining a space response identification result corresponding to each grid unit according to the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid unit.
In this embodiment, the identifying device obtains the spatial response identifying result corresponding to each grid cell according to the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid cell.
Referring to fig. 5, fig. 5 is a schematic diagram of step S5 in the flow of the method for identifying the spatial response of the ecological function of water in the urbanization process according to one embodiment of the present application, including steps S501 to S502, specifically as follows:
s501: and obtaining the Morganella index corresponding to each grid unit according to the urbanization level comprehensive index, the water ecological function comprehensive index and a preset Morganella index calculation algorithm corresponding to each grid unit.
The Morand index calculation algorithm is as follows:
wherein I is L In order to provide the said molan index,is the ithThe water ecological function comprehensive index of the grid cells, n is the number of the grid cells, and w ij For the spatial weight parameter between the ith grid cell and the jth grid cell, +.>Is the urbanization level composite index of the ith grid cell.
In this embodiment, the spatial weight parameters w between the grid cells of the device are identified ij The distance between each grid cell can be calculated according to the Euclidean distance formula according to the distance between the ith grid cell and the jth grid cell, and specifically, the identification device can acquire the position coordinate data of a plurality of grid cells input by a user, calculate the distance between each grid cell, and calculate according to the Euclidean distance formula.
The identification equipment obtains the Morganella index corresponding to each grid unit according to the urban level comprehensive index, the water ecological function comprehensive index, the space weight parameter and the preset Morganella index calculation algorithm corresponding to each grid unit. For distinguishing between high and low values of each of said grid cells, reflecting the spatial response of each of said grid cells, e.g. one of grid cells I L >0, indicating that the grid cell has a spatial positive correlation between the urbanization level factor and the water ecological function factor; when I L <And 0, indicating that the grid cell has a space negative correlation between the urbanization level factor and the water ecology function factor, namely that the space balance relationship between the urbanization level and the water ecology function is realized.
S502: and carrying out cluster analysis on each grid cell according to the urbanization level comprehensive index and the Morlan index corresponding to each grid cell, and obtaining cluster type data of each grid cell as the spatial response identification result.
In this embodiment, the identifying device performs cluster analysis on each grid cell according to the urbanization level comprehensive index and the moland index corresponding to each grid cell, and obtains cluster type data of each grid cell as the spatial response identifying result.
Specifically, when the value of the urbanization level combination index is greater than 0 and the molan index is greater than 0, judging that the cluster type of the grid unit is a high-high cluster type; when the value of the urbanization level comprehensive index is smaller than 0 and the Morlan index is larger than 0, judging that the clustering type of the grid unit is a low-high clustering type; when the value of the urbanization level comprehensive index is smaller than 0 and the Morlan index is smaller than 0, judging that the clustering type of the grid unit is a low-low clustering type; when the value of the comprehensive index of the urban level is larger than 0 and the Morlan index is smaller than 0, judging that the clustering type of the grid cells is a high-low clustering type, and acquiring the clustering type data of each grid cell as a spatial response identification result of the ecological function of water in the urban process. The high-high clustering type and the low-low clustering type indicate that the urbanization level factors and the water ecological function factors corresponding to the grid units are in a spatial synergistic relationship, and the change trend of the urbanization level comprehensive index and the water ecological function comprehensive index is similar, so that the forward spatial relationship exists between the urbanization level and the water ecological function in the area corresponding to the grid units in the urbanization stage. The high-low clustering type and the low-high clustering type both indicate that the urban horizontal factors and the water ecological function factors corresponding to the grid units are in a space balance relation, and the change trend of the urban horizontal comprehensive index and the water ecological function comprehensive index is opposite, so that the negative space relation exists between the urban horizontal and the water ecological function in the area in the urban stage.
S6: and obtaining the space response recognition result of the water ecological function in the urbanization process corresponding to each grid unit according to the recognition result of the urbanization stage corresponding to each grid unit and the space response recognition result.
In this embodiment, the identifying device obtains, according to the town stage identifying result and the space response identifying result corresponding to each grid cell, a space response identifying result of the water ecological function in the town process corresponding to each grid cell, so as to represent a space response relationship between the town horizontal factor and the water ecological function factor in the current town process of the grid cell. Combining the recognition result of the urban stage and the recognition result of the spatial response, and discussing the change of the spatial coupling synergistic relationship between the urban level and the water ecological function of different urban stages by analyzing the balance synergistic ratio between the urban level comprehensive index and the water ecological function comprehensive index in the areas of different urban stages so as to recognize the spatial response of the water ecological function in the urban process, thereby providing scientific decision support for urban planning of different urban stages.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a device for identifying a space response of a water ecological function in a urbanization process according to an embodiment of the present application, where the device may implement all or a part of the space response identifying device of the water ecological function in the urbanization process through software, hardware, or a combination of both, and the device 6 includes:
The data acquisition module 61 is configured to acquire a basic data set of a target area, divide the target area into a plurality of grid cells, and obtain a plurality of basic data sets corresponding to the grid cells;
the factor calculation module 62 is configured to calculate, according to the basic data set corresponding to each grid cell, a water city space coupling factor set corresponding to each grid cell, where the water city space coupling factor set includes a plurality of urbanized horizontal factors and a plurality of water ecology functional factors;
an index calculation module 63, configured to calculate, according to the water city space coupling factor set corresponding to each grid unit, a urbanization level comprehensive index and a water ecological function comprehensive index corresponding to each grid unit;
the urbanization process identification module 64 is configured to obtain, according to the urbanization level comprehensive index corresponding to each grid unit, a process identification result corresponding to each grid unit by using a natural breakpoint method;
the spatial response identification module 65 is configured to obtain a spatial response identification result corresponding to each grid cell according to the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid cell;
And the data association module 66 is configured to obtain a spatial response recognition result of the water ecological function in the urbanization process corresponding to each grid cell according to the recognition result of the urbanization stage corresponding to each grid cell and the spatial response recognition result.
In the embodiment of the application, a data acquisition module is used for acquiring a basic data set of a target area, dividing the target area into a plurality of grid cells, and acquiring the basic data set corresponding to the grid cells; calculating a water city space coupling factor set corresponding to each grid unit according to a basic data set corresponding to each grid unit by a factor calculation module, wherein the water city space coupling factor set comprises a plurality of urbanization level factors and a plurality of water ecology function factors; calculating, by an index calculation module, a urbanization level comprehensive index and a water ecological function comprehensive index corresponding to each grid unit according to the water city space coupling factor set corresponding to each grid unit; obtaining a recognition result of the urbanization process corresponding to each grid unit according to the corresponding urbanization level comprehensive index of each grid unit by using a urbanization process recognition module and adopting a natural breakpoint method; obtaining a spatial response identification result corresponding to each grid unit according to the urban horizontal comprehensive index and the water ecological function comprehensive index corresponding to each grid unit through a spatial response identification module; and obtaining the space response recognition result of the water ecological function in the urbanization process corresponding to each grid unit according to the recognition result of the urbanization stage corresponding to each grid unit and the space response recognition result through a data association module. The urban space coupling factor consisting of the urban level factor and the water ecological function factor of the target area is extracted, the space autocorrelation method is adopted, the analysis of the space response condition between the urban level and the water ecological function is more clearly and directly carried out by combining the urban space coupling factor, the change of the space coupling synergistic relationship between the urban level and the water ecological function in different urban stages is discussed, so that the space response of the water ecological function in the urban process is identified, and scientific decision support can be provided for urban planning in different urban stages.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application, where the computer device 7 includes: a processor 71, a memory 72, and a computer program 73 stored on the memory 72 and executable on the processor 71; the computer device may store a plurality of instructions adapted to be loaded by the processor 71 and to execute the steps of the method according to the embodiment shown in fig. 1 to 5, and the specific execution process may be referred to in the specific description of the embodiment shown in fig. 1 to 5, which is not repeated here.
Wherein processor 71 may include one or more processing cores. Processor 71 performs the various functions of water ecological function spatial response identification device 6 and processes data in the urbanization process by executing or executing instructions, programs, code sets or instruction sets stored in memory 72 and invoking data in memory 72 using various interfaces and various parts within the wired server, alternatively processor 71 may be implemented in at least one hardware form of digital data processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programble Logic Array, PLA). The processor 71 may integrate one or a combination of several of a central processing unit 71 (Central Processing Unit, CPU), an image processor 71 (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the touch display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 71 and may be implemented by a single chip.
The Memory 72 may include a random access Memory 72 (Random Access Memory, RAM) or a Read-Only Memory 72 (Read-Only Memory). Optionally, the memory 72 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 72 may be used to store instructions, programs, code sets, or instruction sets. The memory 72 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions, etc.), instructions for implementing the various method embodiments described above, etc.; the storage data area may store data or the like referred to in the above respective method embodiments. The memory 72 may optionally be at least one memory device located remotely from the aforementioned processor 71.
The embodiment of the present application further provides a storage medium, where the storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executed by the processor, and the specific execution process may refer to the specific description of the embodiment shown in fig. 1 to 5, and details are not repeated herein.
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 application. 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 various illustrative elements and algorithm steps 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 is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention 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. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc.
The present invention is not limited to the above-described embodiments, but, if various modifications or variations of the present invention are not departing from the spirit and scope of the present invention, the present invention is intended to include such modifications and variations as fall within the scope of the claims and the equivalents thereof.
Claims (10)
1. The method for identifying the space response of the ecological function of water in the urbanization process is characterized by comprising the following steps of:
acquiring a basic data set of a target area, dividing the target area into a plurality of grid cells, and acquiring a plurality of basic data sets corresponding to the grid cells;
according to the basic data set corresponding to each grid unit, calculating a water city space coupling factor set corresponding to each grid unit, wherein the water city space coupling factor set comprises a plurality of urbanization level factors and a plurality of water ecology function factors;
calculating the urban horizontal comprehensive index and the water ecological function comprehensive index corresponding to each grid unit according to the water city space coupling factor set corresponding to each grid unit;
obtaining the recognition result of the urbanization process corresponding to each grid unit according to the urbanization level comprehensive index corresponding to each grid unit by adopting a natural breakpoint method;
Obtaining a space response identification result corresponding to each grid unit according to the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid unit;
and obtaining the space response recognition result of the water ecological function in the urbanization process corresponding to each grid unit according to the recognition result of the urbanization stage corresponding to each grid unit and the space response recognition result.
2. The method for identifying the spatial response of the ecological function of water in the process of town according to claim 1, wherein: the urbanization level factors include building floor factors, population density factors, and regional production aggregate factors.
3. The method for identifying the spatial response of the ecological function of water in the process of town as claimed in claim 2, wherein: the basic data set comprises elevation data, land area data, land utilization data, soil data, meteorological data, population data and regional production total value data;
according to the basic data set corresponding to each grid unit, calculating a water city space coupling factor set corresponding to each grid unit, wherein the method comprises the following steps:
dividing the building area corresponding to the same grid unit by the total land area according to the building area in the land utilization data corresponding to each grid unit and the total land area in the land area data, and obtaining the building area factors corresponding to each grid unit;
Obtaining a plurality of administrative units of the target area, and obtaining population data, construction land area and regional production total value data corresponding to each administrative unit according to a basic data set of the target area;
according to the population data and the construction land area corresponding to each administrative unit, dividing the population data and the construction land area corresponding to the same administrative unit to obtain population density data on the construction land area corresponding to each administrative unit; dividing the regional production total value data corresponding to the same administrative unit with the building area according to the regional production total value data corresponding to each administrative unit and the building area to obtain regional production total value density data on the building area corresponding to each administrative unit;
the grid units and the administrative units are subjected to space overlapping, and the proportionality coefficients corresponding to a plurality of the administrative units overlapped by each grid unit are obtained; multiplying population density data and a scaling factor on a building land area corresponding to the same administrative unit to obtain unit population densities corresponding to each administrative unit overlapped by each grid unit, and accumulating the unit population densities corresponding to a plurality of administrative units overlapped by the same grid unit to obtain population density factors corresponding to each grid unit;
Multiplying the regional production total value density data and the proportionality coefficient on the building land area corresponding to the same administrative unit to obtain the unit regional production total value density corresponding to each administrative unit overlapped by each grid unit, and accumulating the unit regional production total value densities corresponding to a plurality of administrative units overlapped by the same grid unit to obtain the regional production total value factor corresponding to each grid unit.
4. A method for identifying the spatial response of ecological functions in a process of urban ization according to claim 3, characterized in that: the water ecological functional factors comprise water yield functional factors, soil preservation functional factors and water quality purifying functional factors.
5. The method for identifying space response of water ecological functions in a urbanization process according to claim 4, wherein the calculating the space coupling factor set of water city corresponding to each grid cell according to the basic data set corresponding to each grid cell comprises the steps of:
and inputting land utilization data, soil data and meteorological data corresponding to each grid cell into a preset water ecological function factor calculation model to obtain water yield function factors, soil maintenance function factors and water quality purification function factors corresponding to each grid cell.
6. The method for identifying a space response of a water ecological function in a urbanization process according to claim 4, wherein the calculating the urbanization level comprehensive index and the water ecological function comprehensive index corresponding to each grid unit according to the space coupling factor set of the water city corresponding to each grid unit comprises the steps of:
obtaining a urbanization level comprehensive index corresponding to each grid unit according to a building land area factor, a population density factor, a regional production total value factor and a preset urbanization level comprehensive index calculation algorithm corresponding to each grid unit, wherein the urbanization level comprehensive index calculation algorithm is as follows:
wherein UI is the urban level comprehensive index, PU is the population density factor, EU is the total value factor produced in the region, LU is the construction land factor;
obtaining water ecological function comprehensive indexes corresponding to the grid cells according to water yield function factors, soil maintenance function factors, water quality purification function factors and preset water ecological function comprehensive index calculation algorithms corresponding to the grid cells, wherein the water ecological function comprehensive index calculation algorithms are as follows:
Wherein WESI is the comprehensive index of the water ecological function, WES i Is the ith water ecological function factor.
7. The method for identifying the spatial response of the ecological function of water in the urbanization process according to any one of claims 1 to 6, wherein the step of obtaining the spatial response identification result corresponding to each grid cell according to the urbanization level synthesis index and the ecological function synthesis index corresponding to each grid cell comprises the following steps:
obtaining the Morganella index corresponding to each grid unit according to the urbanization level comprehensive index, the water ecological function comprehensive index and a preset Morganella index calculation algorithm corresponding to each grid unit, wherein the Morganella index calculation algorithm is as follows:
wherein I is L In order to provide the said molan index,the water ecological function comprehensive index of the ith grid unit, n is the number of the grid units, w ij For the spatial weight parameter between the ith grid cell and the jth grid cell, +.>A urbanized horizontal composite index for the ith grid cell;
and carrying out cluster analysis on each grid cell according to the urbanization level comprehensive index and the Morlan index corresponding to each grid cell, and obtaining cluster type data of each grid cell as the spatial response identification result.
8. A device for identifying the spatial response of ecological functions in water in a urbanization process, comprising:
the data acquisition module is used for acquiring a basic data set of a target area, dividing the target area into a plurality of grid cells and acquiring the basic data set corresponding to the grid cells;
the factor calculation module is used for calculating a water city space coupling factor set corresponding to each grid unit according to the basic data set corresponding to each grid unit, wherein the water city space coupling factor set comprises a plurality of urbanization level factors and a plurality of water ecology function factors;
the index calculation module is used for calculating the urban horizontal comprehensive index and the water ecological function comprehensive index corresponding to each grid unit according to the water city space coupling factor set corresponding to each grid unit;
the urbanization process identification module is used for obtaining the corresponding urbanization process identification result of each grid unit according to the corresponding urbanization level comprehensive index of each grid unit by adopting a natural breakpoint method;
the space response identification module is used for obtaining space response identification results corresponding to the grid cells according to the town horizontal comprehensive indexes and the water ecological function comprehensive indexes corresponding to the grid cells;
And the data association module is used for obtaining the space response recognition result of the water ecological function in the urbanization process corresponding to each grid unit according to the recognition result of the urbanization stage corresponding to each grid unit and the space response recognition result.
9. A computer device comprising a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method for identifying a water ecological function space response in a urbanisation process as claimed in any of claims 1 to 7 when the computer program is executed by the processor.
10. A storage medium, characterized by: the storage medium stores a computer program which, when executed by a processor, implements the steps of the method for identifying the spatial response of a water ecological function in a urbanized process as claimed in any one of claims 1 to 7.
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