CN113627654A - Urban ecological corridor construction method and device based on suitability and connectivity - Google Patents

Urban ecological corridor construction method and device based on suitability and connectivity Download PDF

Info

Publication number
CN113627654A
CN113627654A CN202110805129.XA CN202110805129A CN113627654A CN 113627654 A CN113627654 A CN 113627654A CN 202110805129 A CN202110805129 A CN 202110805129A CN 113627654 A CN113627654 A CN 113627654A
Authority
CN
China
Prior art keywords
ecological
landscape
urban
suitability
candidate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110805129.XA
Other languages
Chinese (zh)
Other versions
CN113627654B (en
Inventor
张浪
仲启铖
张桂莲
张瑞
凌芝
王云才
邢璐琪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Academy of Landscape Architecture Science and Planning
Original Assignee
Shanghai Academy of Landscape Architecture Science and Planning
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Academy of Landscape Architecture Science and Planning filed Critical Shanghai Academy of Landscape Architecture Science and Planning
Priority to CN202110805129.XA priority Critical patent/CN113627654B/en
Publication of CN113627654A publication Critical patent/CN113627654A/en
Application granted granted Critical
Publication of CN113627654B publication Critical patent/CN113627654B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a city ecological corridor construction method and device based on suitability and connectivity. The method comprises the following steps: acquiring urban geographic information corresponding to each landscape unit in an urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch; determining the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system; determining candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy; and determining candidate urban ecological galleries meeting preset suitability conditions as target urban ecological galleries according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries. By adopting the method and the device, the construction of the urban ecological corridor can be realized.

Description

Urban ecological corridor construction method and device based on suitability and connectivity
Technical Field
The application relates to the technical field of urban ecological planning and construction, in particular to an urban ecological corridor construction method and device based on suitability and connectivity.
Background
At present, the urbanization process is accelerated to continuously destroy the living environment and intensify the landscape fragmentation of the living habitat. With the urbanization process of China entering a new historical period, how to reasonably protect and utilize ecological space in an area with scarce land resources is enhanced, the multielement ecological and humanistic requirements of urban citizens are met, and the realization of the toughness sustainable development of cities becomes a new challenge. Therefore, the urban ecological corridor can be transported at the same time.
The urban ecological corridor mainly refers to a strip-shaped or linear ecological space set with certain width and connectivity, which is formed by green land, forest land, grassland, wetland, water area, garden land, cultivated land and other land spaces with remarkable ecological functions in an urban area. The urban ecological corridor can provide a habitat and a migration channel for wild animals and plants in a city, can also play ecological functions of conserving water sources, regulating microclimates, holding pollutants and the like, and provides a high-quality and continuous leisure and rest space for urban residents. Therefore, an urban ecological corridor construction method based on suitability and connectivity is needed.
Disclosure of Invention
Based on the above, it is necessary to provide a city ecological corridor construction method and apparatus based on suitability and connectivity.
In a first aspect, a city ecological corridor construction method based on suitability and connectivity is provided, and the method comprises the following steps:
acquiring urban geographic information corresponding to each landscape unit in an urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch;
determining the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system;
determining candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy;
and determining candidate urban ecological galleries meeting preset suitability conditions as target urban ecological galleries according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries.
As an optional embodiment, the suitability evaluation system includes influence factors and weights corresponding to the influence factors, each influence factor includes an index factor and a weight corresponding to the index factor, and each index factor includes a correspondence between index factor grades and suitability; the determining the suitability corresponding to each landscape unit according to the city geographic information corresponding to each landscape unit and a preset suitability evaluation system comprises the following steps:
for each landscape unit in each landscape unit, inquiring the corresponding suitability of the landscape unit in each index factor according to the city geographic information corresponding to the landscape unit and the corresponding relationship between the index factor grade and the suitability of each index factor;
for each influence factor, determining the suitability of the landscape unit in the influence factor according to the weight corresponding to each index factor contained in the influence factor and the suitability corresponding to the landscape unit in each index factor contained in the influence factor;
and determining the suitability corresponding to the landscape unit according to the weight corresponding to each influence factor and the suitability of the landscape unit in the influence factor.
As an optional implementation manner, the urban geographic information corresponding to the landscape unit at least comprises one or more of population density, distance from a residential point, distance from a boundary of a centralized building area, ground slope, distance from a water body, land utilization type, vegetation coverage, distance from a large habitat patch and distance from a first ecological red line and a second ecological red line;
the influence factors at least comprise one or more of human influence factors, physical influence factors and biological influence factors, the human influence factors at least comprise one or more of population density index factors, distance index factors from residential points and distance index factors from boundaries of a building area, the physical influence factors at least comprise one or more of ground slope index factors, distance index factors from water bodies and land utilization type index factors, and the biological influence factors at least comprise one or more of vegetation coverage index factors, distance index factors from large habitat patches and distance index factors from first and second ecological red lines.
As an optional implementation manner, the determining, according to the suitability degree corresponding to each landscape unit and the landscape unit through which the candidate urban ecological corridor passes, a candidate urban ecological corridor meeting a preset suitability degree condition as a target urban ecological corridor includes:
according to the corresponding suitability of each landscape unit, determining the ratio of the number of landscape units with the suitability as the target suitability to the total number of landscape units passing through in the landscape units passing through the candidate urban ecological corridor;
and if the ratio is greater than or equal to a preset ratio threshold, determining the candidate urban ecological corridor as a target urban ecological corridor.
As an optional implementation manner, the determining a candidate urban ecological corridor according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit, and a preset urban ecological corridor planning strategy includes:
in each landscape patch, determining a landscape patch with a land utilization type as a target land utilization type and a patch area greater than or equal to a preset first patch area threshold as a candidate ecological source area;
determining a connectivity importance index corresponding to the candidate ecological source area according to a preset connectivity algorithm, and determining the candidate ecological source area of which the connectivity importance index is greater than or equal to a preset connectivity importance index threshold value and the patch area is greater than or equal to a preset second patch area threshold value as a target ecological source area;
determining a resistance value corresponding to each landscape unit according to urban geographic information corresponding to each landscape unit and a preset resistance surface evaluation system;
determining an urban ecological corridor between any two target ecological source areas according to a preset minimum accumulated resistance model based on the resistance value corresponding to each landscape unit;
according to a preset gravity model, determining the interaction force between target ecological source places in the urban ecological galleries, and determining the urban ecological galleries of which the interaction force between the target ecological source places is greater than or equal to a preset interaction force threshold value as candidate urban ecological galleries.
As an optional implementation, the connectivity algorithm corresponds to the following formula:
Figure BDA0003166203910000041
wherein, dPCiExpressing the importance index of the connectivity corresponding to the ith candidate ecological source, PC expressing the importance index of the connectivity corresponding to all the candidate ecological sources, PCremove,iRepresenting the importance index of the connectivity corresponding to all other candidate ecological source areas except the ith candidate ecological source area, i representing the ith candidate ecological source area, j representing the jth candidate ecological source area, n representing the total number of the candidate ecological source areas, A representing the total area of the urban area to be planned, aiRepresents the patch area corresponding to the ith candidate ecological source, ajRepresents the patch area, p, corresponding to the jth candidate ecological source* ijRepresenting the maximum likelihood of a species spreading between the ith candidate ecological source and the jth candidate ecological source.
As an alternative embodiment, the resistance surface evaluation system includes a resistance factor and a weight of the resistance factor, each resistance factor includes a corresponding relationship of a resistance factor grade and a resistance value, and the resistance factor includes a land use type and a distance from a boundary of the construction area.
As an alternative embodiment, the minimum cumulative resistance model MCR is:
Figure BDA0003166203910000051
wherein i represents the ith landscape unit, j represents the jth target ecological source area, m represents the total number of landscape units, n represents the total number of target ecological source areas, DijRepresenting the spatial distance, R, between the jth target ecological source and the ith landscape unitiThe resistance value corresponding to the ith landscape unit is shown, and f represents the positive correlation relationship between the minimum accumulated resistance and the ecological process.
As an optional implementation manner, the formula corresponding to the gravity model is:
Figure BDA0003166203910000052
wherein G isijRepresents the interaction force between the ith target ecological source ground and the jth target ecological source ground, NiWeight value, N, representing the ith target ecological sourcejWeight value representing the jth target ecological source, DijRepresents the standard resistance value, P, of the urban ecological corridor between the ith target ecological source ground and the jth target ecological source groundiThe resistance value, P, of the ith target ecological sourcejThe resistance value, S, of the jth target ecological sourceiRepresents the patch area of the ith target ecological source region, SjThe patch area, L, representing the jth target ecological sourceijRepresents the cumulative resistance value, L, of the urban ecological corridor between the ith target ecological source ground and the jth target ecological source groundmaxRepresenting the maximum accumulated resistance value in each urban ecological corridor.
In a second aspect, there is provided an urban ecological corridor construction apparatus based on suitability and connectivity, the apparatus comprising:
the system comprises an acquisition module, a planning module and a planning module, wherein the acquisition module is used for acquiring urban geographic information corresponding to each landscape unit in an urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch;
the first determination module is used for determining the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system;
the second determination module is used for determining candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy;
and the third determination module is used for determining candidate urban ecological galleries meeting preset suitability conditions as target urban ecological galleries according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries.
As an optional embodiment, the suitability evaluation system includes influence factors and weights corresponding to the influence factors, each influence factor includes an index factor and a weight corresponding to the index factor, and each index factor includes a correspondence between index factor grades and suitability; the first determining module is specifically configured to:
for each landscape unit in each landscape unit, inquiring the corresponding suitability of the landscape unit in each index factor according to the city geographic information corresponding to the landscape unit and the corresponding relationship between the index factor grade and the suitability of each index factor;
for each influence factor, determining the suitability of the landscape unit in the influence factor according to the weight corresponding to each index factor contained in the influence factor and the suitability corresponding to the landscape unit in each index factor contained in the influence factor;
and determining the suitability corresponding to the landscape unit according to the weight corresponding to each influence factor and the suitability of the landscape unit in the influence factor.
As an optional implementation manner, the urban geographic information corresponding to the landscape unit at least comprises one or more of population density, distance from a residential point, distance from a boundary of a centralized building area, ground slope, distance from a water body, land utilization type, vegetation coverage, distance from a large habitat patch and distance from a first ecological red line and a second ecological red line;
the influence factors at least comprise one or more of human influence factors, physical influence factors and biological influence factors, the human influence factors at least comprise one or more of population density index factors, distance index factors from residential points and distance index factors from boundaries of a building area, the physical influence factors at least comprise one or more of ground slope index factors, distance index factors from water bodies and land utilization type index factors, and the biological influence factors at least comprise one or more of vegetation coverage index factors, distance index factors from large habitat patches and distance index factors from first and second ecological red lines.
As an optional implementation manner, the third determining module is specifically configured to:
according to the corresponding suitability of each landscape unit, determining the ratio of the number of landscape units with the suitability as the target suitability to the total number of landscape units passing through in the landscape units passing through the candidate urban ecological corridor;
and if the ratio is greater than or equal to a preset ratio threshold, determining the candidate urban ecological corridor as a target urban ecological corridor.
As an optional implementation manner, the second determining module is specifically configured to:
in each landscape patch, determining a landscape patch with a land utilization type as a target land utilization type and a patch area greater than or equal to a preset first patch area threshold as a candidate ecological source area;
determining a connectivity importance index corresponding to the candidate ecological source area according to a preset connectivity algorithm, and determining the candidate ecological source area of which the connectivity importance index is greater than or equal to a preset connectivity importance index threshold value and the patch area is greater than or equal to a preset second patch area threshold value as a target ecological source area;
determining a resistance value corresponding to each landscape unit according to urban geographic information corresponding to each landscape unit and a preset resistance surface evaluation system;
determining an urban ecological corridor between any two target ecological source areas according to a preset minimum accumulated resistance model based on the resistance value corresponding to each landscape unit;
according to a preset gravity model, determining the interaction force between target ecological source places in the urban ecological galleries, and determining the urban ecological galleries of which the interaction force between the target ecological source places is greater than or equal to a preset interaction force threshold value as candidate urban ecological galleries.
As an alternative embodiment, the resistance surface evaluation system includes a resistance factor and a weight of the resistance factor, each resistance factor includes a corresponding relationship of a resistance factor grade and a resistance value, and the resistance factor includes a land use type and a distance from a boundary of the construction area.
In a third aspect, a computer device is provided, comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor to, when executed, perform the method steps of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when being executed by a processor, carries out the method steps of the first aspect.
The application provides a city ecological corridor construction method and device based on suitability and connectivity. The method comprises the following steps: the computer equipment acquires urban geographic information corresponding to each landscape unit in the urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch. And then, the computer equipment determines the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system, and determines candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy. And finally, the computer equipment determines candidate urban ecological galleries meeting preset suitability conditions according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries, and the candidate urban ecological galleries serve as target urban ecological galleries. Thus, the construction of the urban ecological corridor based on the suitability and the connectivity is realized.
Drawings
Fig. 1 is a flowchart of a city ecological corridor construction method based on suitability and connectivity provided in an embodiment of the present application;
FIG. 2 is a flow chart of a city ecological corridor construction method based on suitability and connectivity provided by an embodiment of the application;
FIG. 3 is a flow chart of a city ecological corridor construction method based on suitability and connectivity provided by an embodiment of the present application;
FIG. 4 is a distribution diagram of suitability of human influence factors in urban ecological galleries in Shanghai Shangxian district, provided by an embodiment of the present application;
FIG. 5 is a distribution diagram of suitability of physical influence factors of urban ecological galleries in Shanghai Shangxian district, provided by an embodiment of the present application;
FIG. 6 is a distribution diagram of suitability of biological influencing factors of urban ecological galleries in Shanghai Shangxian district, provided by an embodiment of the present application;
FIG. 7 is a distribution diagram of suitability of urban ecological galleries in Shanghai Shangxian district, provided by an embodiment of the present application;
FIG. 8 is a distribution diagram of urban ecological galleries in Shanghai Shangxian district provided in an embodiment of the present application;
fig. 9 is a distribution diagram of a candidate urban ecological corridor in shanghai shangxian area provided in the embodiment of the present application;
FIG. 10 is a distribution diagram of an ecological corridor of a target city in Shanghai Fengxian district provided by an embodiment of the application;
FIG. 11 is a schematic diagram of an apparatus according to an embodiment of the present disclosure;
fig. 12 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The city ecological corridor construction method based on the suitability and the connectivity provided by the embodiment of the present application will be described in detail below with reference to specific embodiments, as shown in fig. 1, the specific steps are as follows:
step 101, acquiring urban geographic information corresponding to each landscape unit in an urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch.
In implementation, before planning the urban ecological corridor, technicians can collect and prepare map-layer data such as land utilization data, social and economic information, natural geographic information, urban overall planning, urban functional zoning, ecological red line and biodiversity key protection area distribution maps, water and soil environment quality and the like of an urban area to be planned, develop remote sensing interpretation of relevant map-layer data such as vegetation coverage, vegetation index maps, habitat fragmentation distribution maps and the like, and establish an urban geographic information database. Then, when planning the urban ecological corridor, the computer device can acquire urban geographic information corresponding to each landscape unit, land utilization type corresponding to each landscape plaque and plaque area in the urban area to be planned from the urban geographic information database.
And 102, determining the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system.
In implementation, before the construction of the urban ecological corridor, technicians can also establish a suitability evaluation system. The suitability evaluation system will be described in detail later, and will not be described herein again. After the computer device acquires the urban geographic information corresponding to each landscape unit, the suitability corresponding to each landscape unit can be further determined according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system. The processing procedure for determining the suitability corresponding to each landscape unit by the computer device according to the city geographic information corresponding to each landscape unit and the preset suitability evaluation system will be described in detail later, and details are not repeated here.
And 103, determining candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy.
In implementation, the computer device may determine the candidate urban ecological corridor according to the land use type corresponding to each landscape patch, the patch area corresponding to each landscape patch, the urban geographic information corresponding to each landscape unit, and a preset urban ecological corridor planning strategy, and a detailed description will be given later in a specific processing procedure, which is not repeated herein.
And step 104, determining candidate urban ecological galleries meeting preset suitability conditions as target urban ecological galleries according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries.
In implementation, after the computer device obtains the candidate urban ecological galleries, the candidate urban ecological galleries meeting the preset suitability condition can be determined according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries to serve as the target urban ecological gallery. The method comprises the steps that computer equipment determines candidate urban ecological galleries meeting preset suitability conditions, the candidate urban ecological galleries can be used as target urban ecological galleries in various ways, a feasible implementation mode is provided, and the specific processing process is that the computer equipment determines the ratio of the number of landscape units with the suitability as the target suitability to the total number of the landscape units passing through in the landscape units passing through the candidate urban ecological galleries according to the suitability corresponding to each landscape unit; and if the ratio is greater than or equal to a preset ratio threshold, determining the candidate urban ecological corridor as a target urban ecological corridor.
As an optional implementation manner, the suitability evaluation system includes influence factors and weights corresponding to the influence factors, each influence factor includes an index factor and a weight corresponding to the index factor, and each index factor includes a correspondence between index factor grades and suitability. As shown in fig. 2, the processing procedure of determining the suitability corresponding to each landscape unit by the computer device according to the city geographic information corresponding to each landscape unit and the preset suitability evaluation system is as follows:
step 201, for each landscape unit in each landscape unit, according to the city geographic information corresponding to the landscape unit and the corresponding relationship between the index factor grade and the suitability degree included in each index factor, inquiring the corresponding suitability degree of the landscape unit in each index factor.
Step 202, for each influence factor, determining the suitability of the landscape unit in the influence factor according to the weight corresponding to each index factor included in the influence factor and the suitability corresponding to the landscape unit in each index factor included in the influence factor.
And step 203, determining the suitability corresponding to the landscape unit according to the weight corresponding to each influence factor and the suitability of the landscape unit in the influence factor.
In implementation, based on the suitability evaluation system, the computer device may query, for each landscape unit in each landscape unit, the suitability of the landscape unit corresponding to each index factor according to the city geographic information corresponding to the landscape unit and the correspondence between the index factor grade included in each index factor and the suitability. Then, for each influence factor, the computer equipment determines the suitability of the landscape unit in the influence factor according to the weight corresponding to each index factor contained in the influence factor and the suitability corresponding to the landscape unit in each index factor contained in the influence factor. And then, the computer determines the suitability corresponding to the landscape unit according to the weight corresponding to each influence factor and the suitability of the landscape unit in the influence factor.
As an optional implementation manner, the urban geographic information corresponding to the landscape unit at least includes one or more of population density, distance from a residential point, distance from a boundary of a centralized building area, ground slope, distance from a water body, land utilization type, vegetation coverage, distance from a large habitat patch, and distance from a first ecological red line and a second ecological red line. The influence factors at least comprise one or more of human influence factors, physical influence factors and biological influence factors, the human influence factors at least comprise one or more of population density index factors, distance index factors from residential points and distance index factors from boundaries of the building area, the physical influence factors at least comprise one or more of ground slope index factors, distance index factors from water bodies and land utilization type index factors, and the biological influence factors at least comprise one or more of vegetation coverage index factors, distance index factors from large habitat patches and distance index factors from first and second ecological red lines.
In the implementation, as shown in table one, a suitability evaluation system is constructed by integrating three aspects of human influence factors, physical influence factors and biological influence factors on the principles of scientificity, feasibility, diversity, pertinence and simplicity. The human influence factors select 3 index factors including population density, distance from a residential point and distance from a boundary of the set-up area; selecting 3 index factors of the ground gradient, the distance from the ground to the water body and the land utilization type according to the physical influence factors; the biological influence factors select 3 index factors including vegetation coverage, distance from the large ecological patch and distance from the first-class ecological red line and the second-class ecological red line.
The suitability of the urban ecological corridor is influenced by the population number of urban residents and distribution areas thereof, and generally, the suitability of the urban ecological corridor is negatively influenced by human activities. Among them, the lower the population density, the higher the suitability. Population density includes 4 index factor ratings: 0-500 persons/km2500-800/km2800-1200/km-2And 1200 persons/km2The suitability degrees are 5, 4, 3 and 1, respectively. Distance from residential point is used for carrying out buffer area analysis by using GIS (Geographic Information System) software distance toolThe farther the residential distance is, the higher the suitability is. The distance from the residential point comprises 3 index factor grades: 100m, 400m and more than 400m, with suitability of 1, 3 and 5, respectively. And (4) carrying out buffer area analysis by using a GIS software distance tool from the boundary of the set building area, wherein the farther the distance from the boundary of the set building area is, the higher the suitability is. The distance from the set building zone boundary includes 5 index factor grades: 500m, 1000m, 1500m, 2000m and more than 2000m, with 1, 2, 3, 4 and 5 degrees of fitness, respectively.
The suitability of an urban ecological corridor is also affected by the physical environment. Wherein, the larger the ground gradient, the lower the suitability. The ground grade includes 5 index factor grades: 0-5%, 5-10%, 10-15%, 15-25% and not less than 25%, and the suitability is 5, 4, 3, 2 and 1, respectively. The farther away from the water, the lower the suitability. The distance from the water body comprises 5 index factor grades: 50m, 100m, 300m, 800m and more than 800m, with 5, 4, 3, 2 and 1, respectively, being suitable. The greater the land development and utilization intensity, the poorer the habitat quality and the lower the suitability. The land use type includes 5 index factor grades: woodland and garden land, wetland (water area), other unused land, cultivated land and construction land, the suitability is 5, 4, 3, 2 and 1 respectively.
The suitability of an urban ecological corridor is also influenced by living beings. The Vegetation coverage reflects the ratio of the vertical projection area of Vegetation (including forests, bushes, grasslands and crops) on the ground to the total area of the statistical area, and is quantified by NDVI (Normalized Difference Vegetation Index) (range 0-1), wherein the higher the coverage is, the higher the suitability is. The vegetation coverage includes 5 index factor grades: 0 to 0.2, 0.2 to 0.4, 0.4 to 0.6, 0.6 to 0.8 and 0.8 to 1, and the degrees of suitability are 1, 2, 3, 4 and 5, respectively. And performing buffer area analysis on the distance from the large habitat patch by using a GIS software distance tool, wherein the farther the distance from the large habitat patch is, the lower the suitability is. The distance from the large habitat patch comprises 5 index factor grades: 200m, 400m, 800m, 1000m and more than 1000m, with 5, 4, 3, 2 and 1, respectively, being suitable. And the distance from the first-class ecological red line to the second-class ecological red line is analyzed by using a GIS software distance tool and adopting a buffer area, and the farther the distance from the first-class ecological red line to the second-class ecological red line is, the lower the suitability is. The farther the distance from the first-class ecological red line and the second-class ecological red line is, the more the grading of 3 index factors is included: 1000m, 3000m and more than 3000m, with 5, 3 and 1, respectively, being suitable.
Watch 1
Figure BDA0003166203910000141
Figure BDA0003166203910000151
As shown in table two, the influence factors and the index factors in the suitability evaluation system were weighted by an analytic hierarchy process in combination with the delphire method. The specific operation flow is to construct a hierarchical structure model; constructing a judgment matrix according to the relative importance judgment result of pairwise comparison of the index factors; calculating to obtain the weight of the index factor; and (5) checking the consistency.
An analytic hierarchy process is combined with a Delphi method to conduct investigation in a questionnaire mode, 30 experts, professors and students in the profession are invited to score according to an importance judgment matrix scale table, influence factors and index factor judgment matrixes of a suitability evaluation system are established by analyzing the relative importance degree of 9 index factors, and then weights of different influence factors and index factors are obtained through calculation.
Watch two
Figure BDA0003166203910000152
As an alternative implementation, as shown in fig. 3, the computer device determines, according to the land utilization type corresponding to each landscape patch, the patch area corresponding to each landscape patch, the urban geographic information corresponding to each landscape unit, and the preset urban ecological corridor planning policy, a process of determining a candidate urban ecological corridor by the computer device as follows:
step 301, in each landscape patch, determining the landscape patch with the land utilization type as the target land utilization type and the patch area greater than or equal to the preset first patch area threshold as the candidate ecological source area.
In implementation, the computer device extracts all landscape patches using the land use data of the urban area to be planned. The computer device then takes landscape patches with land use types that are target land use types (such as woodlands and parks) as candidate landscape patches. And then, the computer equipment can utilize GIS software to perform aggregation processing and layer merging on the candidate landscape plaques with small areas in the concentrated distribution. Finally, the computer device selects a patch area in the candidate landscape patches which is larger than or equal to a preset first patch area threshold (such as 1 hm)2) The candidate landscape plaque of (1) as a candidate ecological source.
Step 302, according to a preset connectivity algorithm, determining a connectivity importance index corresponding to the candidate ecological source, and determining the candidate ecological source where the connectivity importance index is greater than or equal to a preset connectivity importance index threshold and the patch area is greater than or equal to a preset second patch area threshold as the target ecological source.
In implementation, the identification of the ecological source is used as a primary link for constructing the urban ecological corridor, and the accuracy of the identification is extremely important. Landscape plaques with high connectivity importance indices can more efficiently fulfill their ecological functions. Therefore, the importance index of the connectivity of the landscape plaque is one of the key indicators for evaluating the importance degree of the landscape plaque. The greater the connectivity importance index of the landscape patch, the greater the contribution of the landscape patch to maintaining the overall connectivity level of the landscape of the urban area to be planned, and the more important the landscape patch. The smaller the connectivity importance index of a landscape patch, the lower the contribution of the landscape patch to maintaining the overall connectivity level of the landscape of the urban area to be planned, and the less important the landscape patch. And calculating the importance index of the connectivity based on GIS software. The Conefor inputs.10x plug-in unit extracts the connection data of the urban area to be planned, and the generated node file and distance file are imported into software Conefor2.6 to perform landscape patch connectivity calculation, so that the importance index of the connectivity of each landscape patch can be obtained.
Optionally, the formula corresponding to the connectivity algorithm is as follows:
Figure BDA0003166203910000171
wherein, dPCiExpressing the importance index of the connectivity corresponding to the ith candidate ecological source, PC expressing the importance index of the connectivity corresponding to all the candidate ecological sources, PCremove,iRepresenting the importance index of the connectivity corresponding to all other candidate ecological source areas except the ith candidate ecological source area, i representing the ith candidate ecological source area, j representing the jth candidate ecological source area, n representing the total number of the candidate ecological source areas, A representing the total area of the urban area to be planned, aiRepresents the patch area corresponding to the ith candidate ecological source, ajRepresents the patch area, p, corresponding to the jth candidate ecological source* ijRepresenting the maximum likelihood of a species spreading between the ith candidate ecological source and the jth candidate ecological source.
As shown in table three, the computer device selects the patch area and the connectivity importance index as the screening index of the target ecological source, and establishes an ecological source importance evaluation system. Then, based on the ecological source importance evaluation system, the computer selects a candidate ecological source area with a certain area scale (namely, the plaque area is larger than or equal to a preset second plaque area threshold), and simultaneously has significance (namely, the connection importance index is larger than or equal to a preset connection importance index threshold) for maintaining the landscape integrity of the urban area to be planned, solving the landscape fragmentation problem and integrating the ecological resources of the area so as to exert the maximum ecological benefit as a target ecological source area.
Watch III
Importance of dPC≥0.2 0.2≥dPC≥0.02 dPC≤0.02
S≥30hm2 Of utmost importance Of importance Of moderate importance
30hm2≥S≥10hm2 Of importance Of moderate importance Of general importance
10hm2≥S≥1hm2 Of moderate importance Of general importance Of less importance
And 303, determining the resistance value corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset resistance surface evaluation system.
In implementation, a technician may establish a resistance surface evaluation system before planning the urban ecological corridor. After the computer device acquires the urban geographic information corresponding to each landscape unit, the resistance value corresponding to each landscape unit can be further determined according to the urban geographic information corresponding to each landscape unit and a preset resistance surface evaluation system.
Optionally, the resistance surface evaluation system includes resistance factors and weights of the resistance factors, and each resistance factor includes a corresponding relationship between a resistance factor grade and a resistance value. Wherein the resistance factor comprises a land use type and a distance from the set-up area boundary.
In implementation, the establishment of a resistance surface evaluation system is a key link for planning the urban ecological corridor, and the selection of different resistance factors and resistance values has great influence on the extraction process of the urban ecological corridor. As shown in table four, according to the practical situation of the urban area, the embodiment of the application selects two resistance factors, namely the land utilization type and the distance from the centralized construction area, to construct a resistance surface evaluation system. Meanwhile, the resistance value is set to be between 1 and 50. The land use type includes 6 resistance factor ratings: construction land (including other construction land, town land, rural residential land and industrial storage land), transportation land, cultivated land, other unused land, wetland (water area) and forest land and garden land, the resistance values are 50, 40, 30, 20, 10 and 1 respectively. The distance from the hub includes 5 drag factor ratings: 0-500m, 500-1000m, 1000-1500m, 1500-2000m and 2000m or more, the resistance values are 50, 40, 30, 20 and 1, respectively.
Watch four
Figure BDA0003166203910000181
Figure BDA0003166203910000191
And 304, determining an urban ecological corridor between any two target ecological source areas according to a preset minimum accumulated resistance model based on the resistance value corresponding to each landscape unit.
In implementation, after the computer device obtains the resistance value corresponding to each landscape unit, the urban ecological corridor between any two target ecological source places can be determined according to the preset minimum accumulated resistance model.
As an alternative embodiment, the minimum Cumulative resistance model mcr (minimum Cumulative resistance) is:
Figure BDA0003166203910000192
wherein i represents the ith landscape unit, j represents the jth target ecological source area, m represents the total number of landscape units, n represents the total number of target ecological source areas, DijRepresenting the spatial distance, R, between the jth target ecological source and the ith landscape unitiThe resistance value corresponding to the ith landscape unit is shown, and f represents the positive correlation relationship between the minimum accumulated resistance and the ecological process.
And 305, determining the interaction force between the target ecological source areas in the urban ecological corridors according to a preset gravity model, and determining the urban ecological corridors of which the interaction force between the target ecological source areas is greater than or equal to a preset interaction force threshold value as candidate urban ecological corridors.
In implementation, when the urban ecological corridor is planned, the urban ecological corridor generated preliminarily is relatively redundant. Therefore, a judgment of the relative importance of the urban ecological corridor is needed. And based on the accumulated resistance values of the target ecological source areas obtained in the steps 303 and 304, calculating the interaction force between every two target ecological source areas by adopting a gravity model, and further judging the importance degree of the urban ecological corridor. Generally speaking, the greater the interaction force between two target ecological sources, the greater the degree of connection of the urban ecological corridor, the greater the possibility of species migration and diffusion, and the more important the urban ecological corridor. Based on the method, after the computer equipment obtains the urban ecological corridor, the interaction force between the target ecological source areas in the urban ecological corridor can be further determined according to a preset gravity model. Optionally, the formula corresponding to the gravity model is:
Figure BDA0003166203910000201
wherein G isijRepresents the interaction force between the ith target ecological source ground and the jth target ecological source ground, NiWeight value, N, representing the ith target ecological sourcejWeight representing the jth target ecological sourceValue, DijRepresents the standard resistance value, P, of the urban ecological corridor between the ith target ecological source ground and the jth target ecological source groundiThe resistance value, P, of the ith target ecological sourcejThe resistance value, S, of the jth target ecological sourceiRepresents the patch area of the ith target ecological source region, SjThe patch area, L, representing the jth target ecological sourceijRepresents the cumulative resistance value, L, of the urban ecological corridor between the ith target ecological source ground and the jth target ecological source groundmaxRepresenting the maximum accumulated resistance value in each urban ecological corridor.
In implementation, after the computer device determines the interaction force between the target ecological source places in the urban ecological corridors, the urban ecological corridors with the interaction force between the target ecological source places being greater than or equal to the preset interaction force threshold value can be determined as candidate urban ecological corridors.
The embodiment of the application provides a planning example of an urban ecological corridor, which is introduced by taking urban ecological corridor planning in Shanghai Shangxian areas as an example. The Shanghai Fengxian region is positioned at the south end of the Shanghai city, is positioned on the north bank of the Hangzhou Bay region, is between 121 DEG 21-121 DEG 46 'of the east longitude and 30 DEG 47-31 DEG 01' of the north latitude, is an important component of urban and rural space in suburbs of the Shanghai city, belongs to a new development region of the Shanghai city and is a unique urban subcenter in a southern region of the city.
Technical personnel collect and prepare land utilization type vector data, forest land vector data, city development boundary vector data, ecological red line vector data, digital elevation data (Dem data), NDVI index and other spatial data of Shanghai city Fengxian area; and relevant planning, reporting and statistical data such as a forest resource dynamic monitoring report, a wetland resource survey report, an environmental condition bulletin, a land utilization overall planning (2017-2035), a Chinese medicinal herb area biodiversity protection planning, a Chinese medicinal herb area statistical yearbook and the like, and establishing an urban geographic information database.
And (3) rasterizing the related vector data by using GIS software according to a suitability evaluation system by the computer equipment, and then reclassifying the population density grid data of the Shanghai sagelian area, the grid data of the boundary distance from the integrated area and the grid data of the distance from the residential points to obtain the suitability of the 3 index factors respectively. Then, the computer equipment obtains a human influence factor suitability distribution graph of the urban ecological corridor in Shanghai Fengxian district through weighted superposition calculation, as shown in FIG. 4. And (3) reclassifying the land utilization type grid data, the ground slope grid data and the grid data of the distance from the water body in the Shanghai sagelian area by using GIS software according to the suitability evaluation system by the computer equipment to respectively obtain the suitability of the 3 index factors. Then, the computer device obtains a distribution graph of the suitability of the influence factors of the urban ecological corridor physical environment in Shanghai Fengxian district through weighted superposition calculation, as shown in FIG. 5. And (3) reclassifying the NDVI raster data of the Shanghai Fengxian region, the distance raster data from the large habitat patch and the distance raster data from the first-class ecological red line and the second-class ecological red line by using GIS software according to the suitability evaluation system by the computer equipment to respectively obtain the suitability of the 3 index factors. And then, the computer equipment obtains a distribution graph of the suitability of the biological influence factors of the urban ecological corridor in the Shanghai Fengxian district through weighted superposition calculation. As shown in fig. 6. The computer equipment obtains a distribution diagram of the suitability of the urban ecological corridor in the Shanghai-worthy region by utilizing GIS software to perform weighted superposition calculation on each influence factor according to the suitability evaluation system, as shown in FIG. 7. Wherein the area of the urban ecological corridor in Shanghai Fengxian district with higher planning suitability is about 316.45 square kilometers, and occupies 43.15 percent of the whole area; the area of the less suitable area is about 219.83 square kilometers, which accounts for 29.97% of the area of the whole area; the medium comfort zone area was about 197.11 square kilometers, accounting for 26.88% of the total zone area.
And extracting all forest land landscape plaques and garden landscape plaques with the land utilization types of the forest land and the garden land from the land utilization data of the Shanghai city Fengxian district by the computer equipment. Then the computer equipment utilizes GIS software to aggregate the distributed and concentrated small and garden landscape patches, layer combination is carried out on the garden landscape patches and the garden landscape patches, and the area of 1hm is screened out2The above woodland landscape patches and garden landscape patches serve as candidate ecological sources. Then, the computer device is important according to the preset connectivityA sex index algorithm, which determines a connectivity importance index corresponding to the candidate ecological source, and the connectivity importance index is greater than or equal to a preset connectivity importance index threshold (0.02), and the patch area is greater than or equal to a preset second patch area threshold (10 hm)2) The candidate ecological source area of (2) is determined as a target ecological source area. As shown in Table five, Shanghai Shangxian district candidate ecological source.
Watch five
Serial number Landscape plaque Administrative district Area (m)2) dPC
1 1 Green villages and towns 1917512 33.52
2 180 Green village town and Feng town 3946222 49.24
3 194 Modern agricultural park 3476619 14.46
4 196 Money town 1421758 2.14
5 199 Feng town 559657 1.36
6 201 Feng town 452506 1.02
7 204 West ferry street 732601 2.24
8 205 Bridge ballast 1065034 3.92
9 267 Town of bay 928904 0.78
10 268 West ferry street 413553 0.21
11 272 Green villages and towns 664544 3.83
12 58 Village town 219581 0.19
13 210 Four-ball town 175680 0.03
14 161 Chemical region, tricuspid cudrania forest town 660115 0.65
15 77 Town of bay 9006396 27.82
And (3) reclassifying the land utilization type data and the distance data of the distance collection and construction area by using GIS software by the computer equipment according to the resistance surface evaluation system, and obtaining the resistance distribution diagram (the resistance value of each landscape unit) of the urban ecological corridor in the Shanghai Fengxian area through weighted superposition calculation. After the computer device determines the target ecological source areas, the urban ecological corridor between any two target ecological source areas is determined by the MCR model based on the resistance distribution map, repeated paths are deleted by extracting the accumulated resistance values of the paths, and the paths with relatively lower accumulated resistance values of the same two source areas are connected, so that the urban ecological corridor distribution map is obtained, as shown in FIG. 8.
And after the computer equipment calculates the accumulated resistance value of each urban ecological corridor by using GIS software, calculating the interaction force between every two target ecological source areas according to the gravity model, and determining the urban ecological corridor with the interaction force between the target ecological source areas being greater than or equal to a preset interaction force threshold value as a candidate urban ecological corridor. The number of the candidate urban ecological galleries in the Shanghai city Fengxian district determined by the computer equipment is 23 in total, and the total length is about 265.916 km. Optionally, the computer device calculates interaction force between the target ecological source areas by using a gravity model, and further divides the candidate urban ecological galleries into important urban ecological galleries and general urban ecological galleries, wherein the number of the important urban ecological galleries is 14, and the total length is about 124.418 km; the number of the urban ecological galleries is 9, and the total length is about 141.498km, as shown in figure 9.
The computer equipment determines the ratio of the number of the landscape units with the suitability degree as the target suitability degree to the total number of the landscape units which pass through in the landscape units which pass through the candidate urban ecological corridor according to the suitability degree corresponding to each landscape unit; and if the ratio is greater than or equal to a preset ratio threshold, determining the candidate urban ecological corridor as a target urban ecological corridor. Alternatively, the ratio may be divided into high fitness, medium fitness and low fitness. Meanwhile, as shown in table six, in the case where the candidate urban ecological galleries are divided into important urban ecological galleries and general urban ecological galleries, the candidate urban ecological galleries may be further divided from the perspective of suitability into first-level, second-level, third-level and fourth-level candidate urban ecological galleries, and the first-level and second-level candidate urban ecological galleries are selected as target ecological galleries from the first-level, second-level, third-level and fourth-level candidate urban ecological galleries, as shown in fig. 10.
Watch six
High suitability Moderate suitability Low suitability
Important ecological corridor First stage Second stage Three-stage
General ecological corridor Second stage Three-stage Four stages
The embodiment of the application provides a city ecological corridor construction method based on suitability and connectivity. The computer equipment acquires urban geographic information corresponding to each landscape unit in the urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch. And then, the computer equipment determines the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system, and determines candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy. And finally, the computer equipment determines candidate urban ecological galleries meeting preset suitability conditions according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries, and the candidate urban ecological galleries serve as target urban ecological galleries. Thus, the construction of the urban ecological corridor is realized.
The embodiment of the application also provides a city ecological corridor construction device based on suitability and connectivity, as shown in fig. 11, the device includes:
the acquiring module 1110 is configured to acquire urban geographic information corresponding to each landscape unit, a land utilization type corresponding to each landscape patch, and a patch area in an urban area to be planned;
the first determining module 1120 is configured to determine the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system;
a second determining module 1130, configured to determine candidate urban ecological galleries according to land utilization types corresponding to the landscape patches, patch areas corresponding to the landscape patches, urban geographic information corresponding to the landscape units, and a preset urban ecological gallery planning strategy;
and a third determining module 1140, configured to determine, according to the suitability corresponding to each landscape unit and the landscape unit through which the candidate urban ecological corridor passes, a candidate urban ecological corridor that meets a preset suitability condition as a target urban ecological corridor.
As an optional implementation manner, the suitability evaluation system includes influence factors and weights corresponding to the influence factors, each influence factor includes index factors and weights corresponding to the index factors, and each index factor includes a corresponding relationship between index factor grades and suitability; the first determining module 1120 is specifically configured to:
for each landscape unit in each landscape unit, inquiring the corresponding suitability of the landscape unit in each index factor according to the city geographic information corresponding to the landscape unit and the corresponding relationship between the index factor grade and the suitability included by each index factor;
for each influence factor, determining the suitability of the landscape unit in the influence factor according to the weight corresponding to each index factor contained in the influence factor and the suitability corresponding to the landscape unit in each index factor contained in the influence factor;
and determining the suitability corresponding to the landscape unit according to the weight corresponding to each influence factor and the suitability of the landscape unit in the influence factor.
As an optional implementation manner, the urban geographic information corresponding to the landscape unit at least comprises one or more of population density, distance from a residential point, distance from a boundary of a centralized building area, ground slope, distance from a water body, land utilization type, vegetation coverage, distance from a large habitat patch and distance from a first ecological red line and a second ecological red line;
the influence factors at least comprise one or more of human influence factors, physical influence factors and biological influence factors, the human influence factors at least comprise one or more of population density index factors, distance index factors from residential points and distance index factors from boundaries of the building area, the physical influence factors at least comprise one or more of ground slope index factors, distance index factors from water bodies and land utilization type index factors, and the biological influence factors at least comprise one or more of vegetation coverage index factors, distance index factors from large habitat patches and distance index factors from first and second ecological red lines.
As an optional implementation manner, the third determining module 1140 is specifically configured to:
according to the corresponding suitability of each landscape unit, determining the ratio of the number of landscape units with the suitability as the target suitability to the total number of landscape units passing through in the landscape units passing through the candidate urban ecological corridor;
and if the ratio is greater than or equal to a preset ratio threshold, determining the candidate urban ecological corridor as a target urban ecological corridor.
As an optional implementation manner, the second determining module 1130 is specifically configured to:
in each landscape patch, determining the landscape patch with the land utilization type as a target land utilization type and the patch area greater than or equal to a preset first patch area threshold as a candidate ecological source area;
determining a connectivity importance index corresponding to the candidate ecological source area according to a preset connectivity algorithm, and determining the candidate ecological source area of which the connectivity importance index is greater than or equal to a preset connectivity importance index threshold value and the patch area is greater than or equal to a preset second patch area threshold value as a target ecological source area;
determining a resistance value corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset resistance surface evaluation system;
determining an urban ecological corridor between any two target ecological source areas according to a preset minimum accumulated resistance model based on the resistance value corresponding to each landscape unit;
according to a preset gravity model, determining the interaction force between target ecological source places in the urban ecological galleries, and determining the urban ecological galleries of which the interaction force between the target ecological source places is greater than or equal to a preset interaction force threshold value as candidate urban ecological galleries.
As an alternative embodiment, the resistance surface evaluation system comprises resistance factors and weights of the resistance factors, each resistance factor comprises a corresponding relation between the grade of the resistance factor and the resistance value, and the resistance factors comprise the land use type and the distance from the boundary of the building area.
In one embodiment, a computer device is provided, as shown in fig. 12, which includes a memory and a processor, the memory stores a computer program that can be run on the processor, and the processor executes the computer program to implement the steps of the city ecological corridor construction method based on suitability and connectivity.
In one embodiment, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the above suitability and connectivity based urban ecological corridor construction method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A city ecological corridor construction method based on suitability and connectivity is characterized by comprising the following steps:
acquiring urban geographic information corresponding to each landscape unit in an urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch;
determining the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system;
determining candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy;
and determining candidate urban ecological galleries meeting preset suitability conditions as target urban ecological galleries according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries.
2. The method according to claim 1, wherein the suitability evaluation system comprises influence factors and weights corresponding to the influence factors, each influence factor comprises an index factor and a weight corresponding to the index factor, and each index factor comprises a corresponding relation between index factor grades and suitability; the determining the suitability corresponding to each landscape unit according to the city geographic information corresponding to each landscape unit and a preset suitability evaluation system comprises the following steps:
for each landscape unit in each landscape unit, inquiring the corresponding suitability of the landscape unit in each index factor according to the city geographic information corresponding to the landscape unit and the corresponding relationship between the index factor grade and the suitability of each index factor;
for each influence factor, determining the suitability of the landscape unit in the influence factor according to the weight corresponding to each index factor contained in the influence factor and the suitability corresponding to the landscape unit in each index factor contained in the influence factor;
and determining the suitability corresponding to the landscape unit according to the weight corresponding to each influence factor and the suitability of the landscape unit in the influence factor.
3. The method of claim 2, wherein the urban geographic information corresponding to the landscape unit at least comprises one or more of population density, distance from a residential site, distance from a boundary of an established area, ground slope, distance from a water body, land utilization type, vegetation coverage, distance from a large habitat patch, and distance from a class one ecological red line and a class two ecological red line;
the influence factors at least comprise one or more of human influence factors, physical influence factors and biological influence factors, the human influence factors at least comprise one or more of population density index factors, distance index factors from residential points and distance index factors from boundaries of a building area, the physical influence factors at least comprise one or more of ground slope index factors, distance index factors from water bodies and land utilization type index factors, and the biological influence factors at least comprise one or more of vegetation coverage index factors, distance index factors from large habitat patches and distance index factors from first and second ecological red lines.
4. The method of claim 1, wherein the determining, as a target urban ecological corridor, a candidate urban ecological corridor that meets a preset suitability condition according to the suitability corresponding to each landscape unit and the landscape unit through which the candidate urban ecological corridor passes comprises:
according to the corresponding suitability of each landscape unit, determining the ratio of the number of landscape units with the suitability as the target suitability to the total number of landscape units passing through in the landscape units passing through the candidate urban ecological corridor;
and if the ratio is greater than or equal to a preset ratio threshold, determining the candidate urban ecological corridor as a target urban ecological corridor.
5. The method of claim 1, wherein the determining the candidate urban ecological corridor according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit, and the preset urban ecological corridor planning strategy comprises:
in each landscape patch, determining a landscape patch with a land utilization type as a target land utilization type and a patch area greater than or equal to a preset first patch area threshold as a candidate ecological source area;
determining a connectivity importance index corresponding to the candidate ecological source area according to a preset connectivity algorithm, and determining the candidate ecological source area of which the connectivity importance index is greater than or equal to a preset connectivity importance index threshold value and the patch area is greater than or equal to a preset second patch area threshold value as a target ecological source area;
determining a resistance value corresponding to each landscape unit according to urban geographic information corresponding to each landscape unit and a preset resistance surface evaluation system;
determining an urban ecological corridor between any two target ecological source areas according to a preset minimum accumulated resistance model based on the resistance value corresponding to each landscape unit;
according to a preset gravity model, determining the interaction force between target ecological source places in the urban ecological galleries, and determining the urban ecological galleries of which the interaction force between the target ecological source places is greater than or equal to a preset interaction force threshold value as candidate urban ecological galleries.
6. The method of claim 5, wherein the connectivity algorithm corresponds to the formula:
Figure FDA0003166203900000031
wherein, dPCiIndicates the ith candidateThe importance index of the connectivity corresponding to the ecological source area, PC represents the importance index of the connectivity corresponding to all the candidate ecological source areas, PCremove,iRepresenting the importance index of the connectivity corresponding to all other candidate ecological source areas except the ith candidate ecological source area, i representing the ith candidate ecological source area, j representing the jth candidate ecological source area, n representing the total number of the candidate ecological source areas, A representing the total area of the urban area to be planned, aiRepresents the patch area corresponding to the ith candidate ecological source, ajRepresents the patch area, p, corresponding to the jth candidate ecological source* ijRepresenting the maximum likelihood of a species spreading between the ith candidate ecological source and the jth candidate ecological source.
7. The method of claim 5, wherein the resistive surface evaluation system comprises a resistance factor and a weight for the resistance factor, each resistance factor comprising a correspondence of a resistance factor grade to a resistance value, the resistance factor comprising a land use type and a distance from a construction zone boundary.
8. The method according to claim 5, characterized in that the minimum cumulative resistance model MCR is:
Figure FDA0003166203900000041
wherein i represents the ith landscape unit, j represents the jth target ecological source area, m represents the total number of landscape units, n represents the total number of target ecological source areas, DijRepresenting the spatial distance, R, between the jth target ecological source and the ith landscape unitiThe resistance value corresponding to the ith landscape unit is shown, and f represents the positive correlation relationship between the minimum accumulated resistance and the ecological process.
9. The method of claim 5, wherein the gravity model corresponds to the formula:
Figure FDA0003166203900000042
wherein G isijRepresents the interaction force between the ith target ecological source ground and the jth target ecological source ground, NiWeight value, N, representing the ith target ecological sourcejWeight value representing the jth target ecological source, DijRepresents the standard resistance value, P, of the urban ecological corridor between the ith target ecological source ground and the jth target ecological source groundiThe resistance value, P, of the ith target ecological sourcejThe resistance value, S, of the jth target ecological sourceiRepresents the patch area of the ith target ecological source region, SjThe patch area, L, representing the jth target ecological sourceijRepresents the cumulative resistance value, L, of the urban ecological corridor between the ith target ecological source ground and the jth target ecological source groundmaxRepresenting the maximum accumulated resistance value in each urban ecological corridor.
10. An urban ecological corridor construction device based on suitability and connectivity, the device comprising:
the system comprises an acquisition module, a planning module and a planning module, wherein the acquisition module is used for acquiring urban geographic information corresponding to each landscape unit in an urban area to be planned, and land utilization types and patch areas corresponding to each landscape patch;
the first determination module is used for determining the suitability corresponding to each landscape unit according to the urban geographic information corresponding to each landscape unit and a preset suitability evaluation system;
the second determination module is used for determining candidate urban ecological galleries according to the land utilization type corresponding to each landscape plaque, the plaque area corresponding to each landscape plaque, the urban geographic information corresponding to each landscape unit and a preset urban ecological gallery planning strategy;
and the third determination module is used for determining candidate urban ecological galleries meeting preset suitability conditions as target urban ecological galleries according to the suitability corresponding to each landscape unit and the landscape units passed by the candidate urban ecological galleries.
CN202110805129.XA 2021-07-16 2021-07-16 Urban ecological corridor construction method and device based on fitness and connectivity Active CN113627654B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110805129.XA CN113627654B (en) 2021-07-16 2021-07-16 Urban ecological corridor construction method and device based on fitness and connectivity

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110805129.XA CN113627654B (en) 2021-07-16 2021-07-16 Urban ecological corridor construction method and device based on fitness and connectivity

Publications (2)

Publication Number Publication Date
CN113627654A true CN113627654A (en) 2021-11-09
CN113627654B CN113627654B (en) 2024-02-27

Family

ID=78379961

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110805129.XA Active CN113627654B (en) 2021-07-16 2021-07-16 Urban ecological corridor construction method and device based on fitness and connectivity

Country Status (1)

Country Link
CN (1) CN113627654B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114818310A (en) * 2022-04-21 2022-07-29 北京北林生态田园景观规划设计有限公司 Forest landscape simulation method and device, electronic equipment and storage medium
CN115546339A (en) * 2022-10-14 2022-12-30 中国测绘科学研究院 Urban forest drawing method, device and equipment by using landscape ecological index model

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AUPR419901A0 (en) * 2001-04-04 2001-05-03 Commonwealth Scientific And Industrial Research Organisation Automated corridor mapping
CN102121318A (en) * 2010-01-11 2011-07-13 北京师范大学 Ecological planning method for small-town landscape
KR101058340B1 (en) * 2011-01-19 2011-08-22 ㈜송림원 Eco-corridor
AU2014203751A1 (en) * 2007-05-21 2014-07-24 Benjamin Wilbur Breedlove Function-based habitat design method, system and means
JP2015139439A (en) * 2014-01-30 2015-08-03 富士通株式会社 Program, method and device for evaluation of habitat suitability
KR101916177B1 (en) * 2018-05-09 2018-11-07 (주) 우대칼스 Method for checking land suitability assessment thematic map with user orientation utilizing urban planning information
CN111241624A (en) * 2020-02-11 2020-06-05 陈彬 Green and environment-friendly urban landscape design method
CN111622345A (en) * 2020-06-08 2020-09-04 河北传媒学院 Urban landscape construction combination design method
CN112767218A (en) * 2021-01-27 2021-05-07 北京智数时空科技有限公司 Spatial landscape recognition and analysis method and device
CN113034040A (en) * 2021-04-19 2021-06-25 交通运输部科学研究院 Typical species migration corridor site selection method, device and equipment

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AUPR419901A0 (en) * 2001-04-04 2001-05-03 Commonwealth Scientific And Industrial Research Organisation Automated corridor mapping
AU2014203751A1 (en) * 2007-05-21 2014-07-24 Benjamin Wilbur Breedlove Function-based habitat design method, system and means
CN102121318A (en) * 2010-01-11 2011-07-13 北京师范大学 Ecological planning method for small-town landscape
KR101058340B1 (en) * 2011-01-19 2011-08-22 ㈜송림원 Eco-corridor
JP2015139439A (en) * 2014-01-30 2015-08-03 富士通株式会社 Program, method and device for evaluation of habitat suitability
KR101916177B1 (en) * 2018-05-09 2018-11-07 (주) 우대칼스 Method for checking land suitability assessment thematic map with user orientation utilizing urban planning information
CN111241624A (en) * 2020-02-11 2020-06-05 陈彬 Green and environment-friendly urban landscape design method
CN111622345A (en) * 2020-06-08 2020-09-04 河北传媒学院 Urban landscape construction combination design method
CN112767218A (en) * 2021-01-27 2021-05-07 北京智数时空科技有限公司 Spatial landscape recognition and analysis method and device
CN113034040A (en) * 2021-04-19 2021-06-25 交通运输部科学研究院 Typical species migration corridor site selection method, device and equipment

Non-Patent Citations (9)

* Cited by examiner, † Cited by third party
Title
VALENTINA FERRETTI • SILVIA POMARICO: "An integrated approach for studying the land suitability for ecological corridors through spatial multicriteria evaluations", ENVIRON DEV SUSTAIN, vol. 15, pages 859 *
YUNYUN XIANG ET.AL: "Research into ecological suitability zoning and expansion patterns in agricultural oases based on the landscape process: a case study in the middle reaches of the Heihe River", ENVIRON EARTH SCI, vol. 75, 14 October 2016 (2016-10-14), pages 1 - 13, XP036090605, DOI: 10.1007/s12665-016-6165-5 *
张周爱等: "露天矿区的生态网络格局评价――以胜利露天矿区为例", 煤炭学报, no. 12, 15 December 2019 (2019-12-15), pages 3839 - 3848 *
张惠远等: "GIS支持下的山地景观生态优化途径", 水土保持研究, no. 04, pages 69 - 74 *
杨志广等: "基于形态空间格局分析和最小累积阻力模型的广州市生态网络构建", 应用生态学报, no. 10, 3 August 2018 (2018-08-03), pages 3367 - 3376 *
江文渊;: "基于生态适宜性评价的武清区生态空间规划", 湖南师范大学自然科学学报, vol. 41, no. 02, pages 17 - 25 *
焦胜等: "景观连通性理论在城市土地适宜性评价与优化方法中的应用", 地理研究, no. 04, pages 720 - 730 *
苏雷等: "GIS支持下的锦州葫芦岛沿海土地生态适宜性评价", 水土保持研究, no. 04, pages 207 - 212 *
过萍艳等: "浙江省慈溪市宗汉街道城镇绿地生态网络构建", 浙江农林大学学报, no. 01, 20 February 2014 (2014-02-20), pages 64 - 71 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114818310A (en) * 2022-04-21 2022-07-29 北京北林生态田园景观规划设计有限公司 Forest landscape simulation method and device, electronic equipment and storage medium
CN114818310B (en) * 2022-04-21 2022-10-04 北京北林生态田园景观规划设计有限公司 Forest landscape simulation method and device, electronic equipment and storage medium
CN115546339A (en) * 2022-10-14 2022-12-30 中国测绘科学研究院 Urban forest drawing method, device and equipment by using landscape ecological index model

Also Published As

Publication number Publication date
CN113627654B (en) 2024-02-27

Similar Documents

Publication Publication Date Title
CN110334864B (en) GIS-based multi-specification-in-one urban and rural space partition method
Mahmoud et al. Development of sustainable urban green areas in Egyptian new cities: The case of El-Sadat City
Poirazidis et al. Modelling nesting habitat as a conservation tool for the Eurasian black vulture (Aegypius monachus) in Dadia Nature Reserve, northeastern Greece
Lin et al. Comparison of multimodel simulations of land use and land cover change considering integrated constraints-A case study of the Fuxian Lake basin
CN106599601A (en) Remote sensing assessment method and system for ecosystem vulnerability
CN113627654A (en) Urban ecological corridor construction method and device based on suitability and connectivity
CN113034040B (en) Typical species migration corridor location method, device and equipment
Kocur-Bera Data compatibility between the Land and Building Cadaster (LBC) and the Land Parcel Identification System (LPIS) in the context of area-based payments: A case study in the Polish Region of Warmia and Mazury
CN107169878A (en) A kind of method based on information independence collection space load basic data of increasing income
CN113240257A (en) Territorial space partitioning method and device based on minimum cumulative resistance model
Jahanifar et al. Land change detection and effective factors on forest land use changes: application of land change modeler and multiple linear regression
MirarabRazi et al. Identifying optimal location of ecotourism sites by analytic network process and genetic algorithm (GA):(Kheyroud Forest)
Ruda Contribution to assessement of the tourism impact on landscape
Kupfer et al. Factors influencing species composition in canopy gaps: the importance of edge proximity in Hueston Woods, Ohio
Kocur-Bera Understanding information about agricultural land. An evaluation of the extent of data modification in the Land Parcel Identification System for the needs of area-based payments–a case study
Quintal et al. Forecasting urban expansion in the Seven Lakes area in San Pablo City, Laguna, the Philippines using the land transformation model
Jiayu et al. Balancing urban expansion with ecological integrity: An ESP framework for rapidly urbanizing small and medium-sized cities, with insights from Suizhou, China
CN107341558A (en) Multiply the computational methods in path and the computing device and record media using the method altogether
Tian et al. Suburban sprawl measurement and landscape analysis of cropland and ecological land: A case study of Jiangsu Province, China
Boya et al. FUNCTIONAL CONNECTIVITY ANALYSES AND CONSTRUCTION STRATEGIES OF THE STRUCTURE OF GREEN SPACE NETWORK IN HAIDIAN DISTRICT OF BEIJING.
Farinha-Marques et al. A sampling methodology to facilitate biodiversity assessment in public green spaces
CN116205505A (en) Method, system, storage medium and equipment for determining ecological security pattern
CN112598200B (en) Method for constructing future human activity scene in natural reserve
CN114863272A (en) Method and system for determining influence strength of urban vegetation on urban comprehensive vitality
Wu et al. Developing a planning model for the construction of ecological corridors for low-carbon ecological cities: a case study of the Shenzhen International Low-Carbon City

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant