Simulation design method of urban ecological corridor

Abstract

The invention provides a simulation design method of an urban ecological corridor, which comprises the following steps: S1, collecting a multi-temporal thermal infrared remote sensing image of a city to be simulated and designed and preprocessing to obtain a core heat island node; s2, heat resistance surface construction is carried out based on different surface types, a heat transfer resistance surface is obtained, and the different surface types comprise a digital elevation model, an impervious surface index, a normalized vegetation index, a normalized building index, a normalized water body index and a gradient; s3, taking the core heat island node as a network end point, searching a communication path with the lowest resistance on a heat transmission resistance surface, and obtaining an urban heat island corridor; and S4, on the basis of the urban land utilization data, ecological lands of forests, wetlands, large parks and water bodies serve as candidate ecological source lands, ecological connection paths are constructed from the angle of ecological connectivity by adopting the S2 and the S3, and the urban ecological corridor is obtained.

Description

Technical Field

[0001] This invention belongs to the field of urban ecological planning technology, specifically relating to a simulation design method for urban ecological corridors. Background Technology

[0002] The urban heat island effect (UHI) refers to the phenomenon where, under the same large-scale climatic conditions, the near-surface or near-ground air temperature within a city is consistently higher than that of the surrounding suburbs. With the continued intensification of global climate change and the increasing level of urbanization, the heat island effect is being continuously amplified. The heat island effect weakens nighttime cooling in cities, prolongs the duration of high temperatures, thereby increasing building cooling loads and peak electricity consumption, increasing carbon emissions, promoting pollutant accumulation and raising the risk of secondary pollution such as ozone, and increasing heat-related health risks such as heatstroke and cardiovascular diseases. Prolonged high temperatures and heat concentration also alter the suitable habitat range and community structure of species, weakening the stability of urban ecosystems and damaging biodiversity. Urban ecological corridors, as spatial carriers connecting important ecological patches, have a significant impact on urban surface temperature through their landscape composition and spatial configuration. They have the potential to guide the transport of cold air and disperse heat and pollutants at multiple scales, and mitigating the urban heat island effect from the perspective of ecological corridors is widely recognized.

[0003] In response to ecological corridors and the urban heat island effect, various technical approaches have been explored in scientific research and planning. These include ecological corridor construction techniques based on landscape ecology principles, thermal environment improvement techniques based on blue-green spaces such as green areas and water systems, and urban heat island effect research methods based on remote sensing and spatial analysis. While existing methods have enhanced ecological connectivity and mitigated the heat island phenomenon to some extent, they generally focus on positively promoting ecological connectivity or increasing cooling sources, lacking a systematic approach from a networked perspective that blocks heat diffusion paths.

[0004] The existing technologies for heat island effect mitigation and ecological corridor planning have the following main problems: The research perspective is singular: most studies start from positive optimization (such as enhancing ecological connectivity, increasing green space and water bodies), neglecting the possibility of controlling the spread of the heat island by reversely cutting off the heat transfer path.

[0005] Insufficient coupling between ecological function enhancement and thermal environment management: In existing technologies, the construction of ecological corridors and the management of heat islands are often carried out independently, lacking synergistic optimization under a unified framework.

[0006] Lack of a multi-level integrated design system: Existing solutions are mostly aimed at macro or micro scales, lacking a multi-scale, multi-functional integrated technical system that simultaneously covers the overall urban layout and local spatial regulation.

[0007] In summary, existing technologies generally lack a comprehensive technology based on the reverse blocking approach that combines the construction of ecological corridors with the blocking of heat island transmission networks, thereby achieving a multi-level design scheme that takes into account both ecological functions and thermal environment management. Summary of the Invention

[0008] To address the problems existing in the prior art, this invention provides a simulation design method for urban ecological corridors. It aims to propose a simulation design method for multi-level urban ecological corridors based on key corridors that block the heat island effect and integrate ecological corridors, providing data support and methodological reference for future urban climate adaptability planning, ecological security pattern construction, and green infrastructure deployment.

[0009] To achieve the above objectives, the present invention provides the following solution: A simulation design method for urban ecological corridors, the method comprising: S1. Collect multi-temporal thermal infrared remote sensing images of the city to be simulated and preprocess them to obtain the core heat island nodes. S2. Based on different land surface types, construct heat resistance surfaces to obtain heat transfer resistance surfaces. The different land surface types include: digital elevation model, impermeable surface index, normalized vegetation index, normalized building index, normalized water body index, and slope. S3. Using the core heat island nodes as network endpoints, search for the connection path with the lowest resistance on the heat transmission resistance surface to obtain the urban heat island corridor. S4. Based on urban land use data, forests, wetlands, large parks, and water ecological land are selected as candidate ecological source areas. Using S2 and S3, ecological connection paths are constructed from the perspective of ecological connectivity to obtain urban ecological corridors.

[0010] Preferably, the method for obtaining core heat island nodes by acquiring multi-temporal thermal infrared remote sensing images of the city to be simulated and preprocessing them in S1 includes: Multi-temporal thermal infrared remote sensing images of the city to be simulated; Based on multi-temporal thermal infrared remote sensing images, the inversion temperature of the city to be simulated is obtained; Based on the inverted temperature, the temperature of the entire area of ​​the city to be simulated is divided into preset temperature levels to obtain potential high-temperature nodes; Based on potential high-temperature nodes, spatial structure decomposition and domain structure judgment are performed to obtain the pixel set of the "core area". The core heat island node is obtained based on the set of pixels in the "core area".

[0011] Preferably, the method for obtaining the inversion temperature of the city to be simulated based on multi-temporal thermal infrared remote sensing images includes: ; in, For pixels The inversion of surface temperature, The surface emissivity. , For scaling constants, The value of thermal infrared radiance received by the sensor. This is an atmospheric correction item.

[0012] Preferably, the method for obtaining the pixel set of the "core area" based on potential high-temperature nodes through spatial structure decomposition and neighborhood structure judgment includes: Based on potential high-temperature nodes, spatial structure decomposition is performed: ; Next, the domain structure is determined, identifying core, edge, and connection categories, and defining each cell. The eight domains set: ; in, For each cell The eight domains of the collection For pixels; For any satisfying The pixels are classified according to preset rules: Core pixels: for all ,have Then, this pixel is defined as the core pixel: ; in, As the core pixel, Represents a cell The set of eight neighboring coordinates, and the core pixels form the pixel set of the "core area"; Edge pixels: if However, if the neighborhood contains both pixels belonging to the target category and pixels not belonging to the target category, then it is defined as an edge pixel: ; in, For edge pixels, This represents the set of values ​​for all cells in the neighborhood. Connecting pixels / corridor pixels: If If the number of similar connected cells in its neighborhood is less than a preset number, it is defined as a connected or corridor-type cell. Connection threshold: ; in, For connecting or corridor-type pixels.

[0013] Preferably, the method for obtaining core heat island nodes based on the pixel set of the "core area" includes: Based on the set of pixels in the "core area", and combined with preset area filtering conditions, the core heat island nodes are obtained.

[0014] Preferably, the method for constructing thermal resistance surfaces based on different land surface types in step S2 to obtain thermal transfer resistance surfaces includes: Define the heat transfer resistance surface for: ; in, Indicates the first Standardized values ​​of each factor For the first The weights of each factor.

[0015] Preferably, the method for obtaining urban heat island corridors by using core heat island nodes as network endpoints in S3 and searching for the least resistant connecting path on the heat transfer resistance surface includes: ; in, For nodes With nodes The path with the least cumulative resistance between the two points, i.e. the minimum path, is the possible path for heat transfer in urban space. Represents all slave nodes To the node The set of candidate paths, Represents a cell or node The resistance value at that point, It represents the distance between the centers of adjacent pixels.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) Improved thermal environment. By blocking key heat island corridors and deploying cooling ecological facilities along their paths, the speed and extent of heat diffusion are significantly suppressed; (2) Enhancement of ecological functions. Improve connectivity between ecological source areas, reduce habitat fragmentation, and improve conditions for maintaining biodiversity; (3) Conservation of space resources. Ecological and climate regulation facilities share space, improving the overall efficiency of land use; (4) Sustainability. Maintain adaptability through data-driven management and dynamic iteration.

[0017] In summary, this invention not only enables targeted blocking and control of the urban heat island effect, but also enhances ecosystem connectivity within the same spatial layout, creating synergistic benefits of thermal environment improvement and ecological corridor construction. It has significant innovation, scientific merit, and scalability, and its application in the integrated management of urban heat island effect and ecological network construction has obvious promotional value. Attached Figure Description

[0018] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the simulation design method for urban ecological corridors according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the spatial distribution of heat island sources and ecological sources according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the heat island network resistance surface and the ecological network resistance surface according to an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the construction of a multi-level ecological network according to an embodiment of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] The following are some existing technical approaches in the fields of scientific research and planning to address ecological corridors and the urban heat island effect: I. Ecological Corridor Construction Technology Based on Landscape Ecology Principles Ecological corridors are an important component of ecological networks, forming linear ecological spaces connecting two or more ecological "source areas" (i.e., ecological core areas, such as forests, wetlands, and large parks) to ensure the migration of plants and animals, gene exchange, and the flow of matter and energy. In the theoretical framework of landscape ecology, the basic steps for corridor construction include: using remote sensing and Geographic Information System (GIS) technology to classify land use / cover and identify the main ecological source areas in and around the city; constructing ecological resistance surfaces by combining the differences in "resistance" to species passage across various land uses; and calculating the optimal paths between ecological source areas using the minimum-cost path method based on the resistance surfaces, thereby forming a corridor network that can connect the urban green space system. This method has mature experience in improving ecosystem structure, enhancing biodiversity, and ecological processes, and has been widely applied in areas such as national land spatial planning and the formulation of ecological protection red lines. However, this technology focuses on natural ecological processes and does not pay attention to the characteristics of heat transport in urban spaces. In reality, heat diffusion channels (such as continuous strip-shaped spaces formed by high-temperature areas) are not entirely consistent with biological migration channels. Therefore, even if the construction of ecological corridors is successful, it may not be able to effectively block or weaken the spread of the urban heat island effect.

[0023] II. Urban Heat Island Mitigation Technologies Based on Green Space and Water System Layout Another common approach is to improve the thermal environment by enhancing the spatial layout of green spaces and water bodies, leveraging the transpiration of vegetation and the evaporative cooling effect of water. This method typically relies on surface temperature distribution obtained from thermal infrared remote sensing images (such as Landsat and MODIS) to analyze the spatial location of the heat island's high-temperature centers (hotspots). Combined with the actual urban land use, facilities such as green spaces, water bodies, street trees, linear wetlands, or dry streams are deployed in and around the hotspot areas. Vegetation cover can reduce surface temperature by reflecting solar radiation and increasing transpiration, while water bodies absorb heat from the surrounding area through evaporation, thus producing a cooling effect. This method is highly effective in improving the local thermal environment, especially at the street and community scales, reducing the intensity of the heat island. However, the spatial scope of this approach is limited by the size of the green spaces or water bodies, and the cooling effect exhibits a significant distance attenuation characteristic. Its impact on heat diffusion paths at the urban scale is limited, and it cannot systematically block the outward diffusion or inward convergence of heat through continuous spatial corridors.

[0024] III. Urban Heat Island Research Methods Based on Remote Sensing and Spatial Analysis Current research on the urban heat island effect is technically mature, forming a systematic study encompassing "monitoring-interpretation-modeling-mitigation," including high-resolution remote sensing monitoring, multi-temporal temperature change analysis, spatial statistical modeling, geographic weighted regression, and machine learning. Researchers typically acquire thermal infrared satellite images from different time periods to retrieve land surface temperature (LST) and combine this with factors such as land use type, vegetation index (NDVI), and building density to analyze the spatial pattern of temperature and its driving factors. These methods reveal the distribution patterns and formation mechanisms of the urban heat island, providing fundamental data support for layout decisions on heat island mitigation. However, existing research mostly analyzes the spatial pattern of the heat island as a static temperature field. Although some studies have abstracted it into a "heat island network" model with node and corridor structures and begun to attempt to use complex network analysis and other methods to identify and quantitatively characterize key channels and nodes affecting heat diffusion, the perspectives of related research are generally relatively singular, focusing only on the heat island propagation pathways, making it difficult to achieve synergistic improvement of multiple ecological functions.

[0025] Example 1 This invention provides a simulation design method for urban ecological corridors, comprising: S1. Collect multi-temporal thermal infrared remote sensing images of the city to be simulated and preprocess them to obtain the core heat island nodes. S2. Based on different land surface types, construct heat resistance surfaces to obtain heat transfer resistance surfaces. The different land surface types include: digital elevation model, impermeable surface index, normalized vegetation index, normalized building index, normalized water body index, and slope. S3. Using the core heat island nodes as network endpoints, search for the connection path with the lowest resistance on the heat transmission resistance surface to obtain the urban heat island corridor. S4. Based on urban land use data, forests, wetlands, large parks, and water ecological land are selected as candidate ecological source areas. Using S2 and S3, ecological connection paths are constructed from the perspective of ecological connectivity to obtain urban ecological corridors.

[0026] like Figures 1-4 As shown, the specific implementation process of the present invention is as follows: 1. Identification of high-temperature nodes and the core area of ​​urban heat islands This invention first constructs the nodal foundation for the urban heat island effect, and then uses multi-temporal thermal infrared remote sensing images (Landsat 8 TIRS) of the city to be simulated to obtain the thermal infrared band brightness. , ,in, , The top atmospheric radiance at the sensor location is the original physical observation for subsequent temperature inversion; the top atmospheric radiance is converted into sensor brightness temperature according to Planck's law. , The sensor's brightness temperature is an intermediate value between the radiance of the upper atmosphere and the surface temperature. This is combined with the surface emissivity. With sensor brightness temperature The inversion formula is obtained through radiation correction, reflectivity conversion, and atmospheric correction models: ; in, For pixels The inversion of surface temperature, , For scaling constants, For atmospheric correction items, The value of thermal infrared radiance received by the sensor. For the reason The converted sensor brightness temperature is calculated using the following relationship: .

[0027] All inversion results were resampled to a uniform raster resolution (30m×30m is recommended for urban scales) and projected onto a unified coordinate system. Then, a temperature grading stage was performed to calculate the average temperature for the entire region. and standard deviation Using the average temperature of the study area as a benchmark, and combining it with the standard deviation, the temperature of the entire region is divided into five levels: low temperature, sub-low temperature, medium temperature, sub-high temperature, and high temperature. ; In this system, 1, 2, 3, 4, and 5 represent low temperature, sub-low temperature, medium temperature, sub-high temperature, and high temperature, respectively. The classification results are written into the temperature raster attributes, giving each pixel a distinct temperature level. Sub-high temperature and high temperature patches within the temperature levels are designated as potential high-temperature nodes.

[0028] Next, based on potential high-temperature nodes, spatial structure decomposition is performed. First, target pixel identification is binarized, and then... Represents a cell Does it belong to the target category (such as the high temperature category or the ecological land category)?

[0029] ; For example, in heat island identification When the temperature level is classified as sub-high or high; in the identification of ecological land use. This indicates that the pixel belongs to ecological land.

[0030] Next, the domain structure is determined, identifying core, edge, and connection categories. First, each cell is defined. The eight domains set: ; in, For each cell The eight domains of the collection For pixels.

[0031] Then for any satisfying The pixels are classified according to the following rules: 1) Core Pixel: If all eight of its domains also belong to this category, that is, for all... ,have Then, this pixel is defined as the core pixel: ; in, As the core pixel, Represents a cell The set of eight neighboring coordinates, and the core pixels form the pixel set of the "core area".

[0032] 2) Edge pixels: If However, if the neighborhood contains both pixels belonging to the target category and pixels not belonging to the target category, then it is defined as an edge pixel: ; in, For edge pixels, This represents the set of values ​​for all pixels in the neighborhood.

[0033] 3) Connector / Corridor Pixels: If If a cell has very few connected cells of the same type in its neighborhood (e.g., 1 or 2), it can be defined as a connected or corridor-type cell. Let... For connection thresholds (e.g., 1 or 2): ; in, For connecting or corridor-type pixels.

[0034] The above method was used to identify the set of pixels with the morphological type "core area". Since urban high-temperature patches (second-highest and highest temperature patches in the temperature scale) may have different morphologies such as fragmentation and banding, this invention selects to retain only the core area type and eliminates scattered local high-temperature areas. To ensure the importance of nodes in the network, an area screening condition was added—only core patches with an area greater than 3 km² were identified as core heat island nodes. Each core heat island node records its coordinates, area, shape index (reflecting patch compactness), average temperature, and temperature scale in the GIS attribute table, providing start and end point references for subsequent corridor generation. This method ensures both the temperature representativeness of the identification results (second-highest / highest temperature only) and the stability of the spatial pattern (only core areas with large areas), avoiding the inclusion of scattered and unstable heat sources in network analysis.

[0035] 2. Construction of heat transfer resistance surfaces In order to simulate the potential flow of heat in urban space, this invention needs to quantify the resistance values ​​of different surface types to heat transfer. The input factors include: (1) Digital Elevation Model (DEM): High altitude or steep terrain has an obstructive effect on heat flow; (2) Impermeable Surface Index (ISF): High-value areas such as roads, squares and roofs have high thermal conductivity and weak cooling capacity; (3) Normalized Difference Vegetation Index (NDVI): High vegetation cover provides transpiration cooling and shading, which increases thermal resistance; (4) Normalized Building Index (NDBI): Densely built areas conduct heat quickly and store a lot of heat, resulting in lower resistance; (5) Normalized Water Index (NDWI): Water bodies increase resistance through evaporative cooling; (6) Slope: Increases the length of the air flow path and increases the resistance to heat flow.

[0036] For each spatial cell Define the factors that affect heat flow. : ; These factors are standardized to make them comparable across different dimensions.

[0037] Then, model training and factor weight extraction are performed to... As the target variable, a unified regression model is constructed: ; Where F(·) is a model that combines multiple regression trees using the gradient boosting method. The error term reflects random errors or other influencing factors that the model fails to explain. After training, the model outputs a feature importance weight vector for each factor. It reflects the relative contribution of each factor to temperature.

[0038] Finally, define the heat transfer resistance surface. for: ; in, Indicates the first Standardized values ​​of each factor For the first The weights of each factor.

[0039] This results in a continuous grid-like heat transfer resistance surface, which can be used for subsequent heat path analysis.

[0040] 3. Formation of urban heat island corridors After obtaining the core heat island nodes and the heat transfer resistance surface, the core heat island nodes are used as the endpoints of the urban heat island network. The lowest resistance connecting path is then searched on the heat transfer resistance surface. For each pair of core heat island nodes, the minimum resistance path is calculated using the following formula: ; in, For nodes With nodes The path with the least cumulative resistance between two points is called the minimum path, which is the possible path for heat transfer in urban space. Represents all slave nodes To the node The set of candidate paths, Represents a cell or node The resistance value at that point, It represents the distance between the centers of adjacent pixels.

[0041] Then, each grid cell is considered as a resistive unit, with a resistance value of The equivalent connectivity matrix of the entire network is constructed. In this invention, the grid resistance surface is... Discrete as a graph G =( V , E ), node resistance Node conductance For adjacent nodes Assume side conductance : ; in, Represents a node With nodes Spatial distance between them (unit: m) , This represents the conductance value of adjacent nodes.

[0042] Constructing the Laplacian matrix (diagonal element) off-diagonal element For a given source-sink injection vector (satisfy Solving linear systems Obtain the nodal potential Next, calculate the current distribution on each edge. : ; in, , Adjacent nodes , The nodal potential.

[0043] Pick The absolute value is then summed on the grid to obtain the node current density. (i.e., current distribution between nodes) ).right After normalization, the percentile method (setting a threshold for the top 20% of high-value nodes) is used to extract high-flow areas as the main heat transport corridors; the criticality of the corridors can be assessed based on current betweenness or equivalent resistance. A sparse matrix solver (such as CG+AMG) is used to ensure the numerical feasibility of large-scale grid calculations. The current distribution between nodes is solved. This involves identifying heat flow paths with high frequency and high flux. These high-current paths are then extracted as the main corridors for heat island transport. .

[0044] The advantage of this method lies in its comprehensive consideration of the parallel effects of multiple possible paths, rather than simply calculating a single shortest path, thus better reflecting the actual flow of heat in space. These paths represent the "main channels" for heat diffusion in urban space and are defined as urban heat island corridors. Each heat island corridor is stored as a vector line with attributes including: path start and end node numbers, total length, and average resistance value. All corridors together form a heat island transport network, which can be used to analyze the skeletal structure and critical path locations of heat diffusion.

[0045] 4. Construction of ecological corridors The construction of ecological corridors is based on urban land use data, using ecological land such as forests, wetlands, large parks, and water bodies as candidate ecological source areas. Steps 2 and 3 are used to construct connecting paths, ensuring the continuity of biological migration and ecological processes among the various ecological source areas. This allows the ecological network and the heat island network to complement each other in terms of objectives, thus providing conditions for the layout of multi-functional corridors and ultimately forming ecological corridors.

[0046] 5. The combined layout and blocking effect of heat island corridors and ecological corridors This invention spatially overlays and analyzes the vector lines of urban heat island corridors and ecological corridors in GIS. During the planning stage, ecological corridors are prioritized for placement at these intersections, spatially covering the key transmission segments of the heat island corridors. In composite corridor segments, the elements such as green spaces, water bodies, and wetlands included in the ecological corridor layout have the functions of transpiration cooling, shading and insulation, and increasing the complexity of heat flow paths, significantly hindering heat transmission in these corridor segments. Placing them within the heat island corridors can achieve the goal of blocking or weakening the urban heat island network.

[0047] 6. Technical evaluation and iterative optimization By re-acquiring surface temperature data and ecological connectivity index, the cooling effect and ecological network integrity after the implementation of the scheme are evaluated. Based on the evaluation results, the blocking measures and ecological corridor layout are iteratively adjusted to ensure the adaptability and sustainability of the technology system in dynamic development.

[0048] This invention introduces a novel "reverse blocking" approach to urban thermal environment regulation. By identifying key heat transfer paths through a network and prioritizing their blocking, the heat island effect is effectively curbed. Simultaneously, it integrates traditional ecological corridor construction methods, achieving synergistic optimization of thermal environment improvement and ecological function enhancement. Furthermore, its multi-level spatial layout addresses both macro- and micro-scale planning needs. This technology can provide actionable scientific basis and methodological support for urban climate adaptability planning, ecological security pattern construction, and green infrastructure development.

[0049] In summary, this invention provides a simulation design method for urban ecological corridors, which, compared with existing technologies, achieves the following beneficial effects: 1. Introduce the concept of "reverse blocking" for heat transfer networks to effectively curb the spread of urban heat islands.

[0050] Traditional urban heat island mitigation technologies often focus on increasing cooling sources (such as increasing green spaces and water bodies), lacking quantitative identification and reverse blocking of the heat transfer framework. This invention attempts to "cut off the main channels" in the network structure, reducing the speed and coverage of heat diffusion within the city from the source, which is significantly different from the traditional area-based cooling approach.

[0051] 2. The application of landscape ecology theory has improved the scientific rigor and accuracy of urban heat island network modeling.

[0052] This application innovatively transfers analytical methods used in landscape ecology to describe the relationship between ecological source areas and corridors to heat island research. It considers the core hot spots of sub-high / high temperatures as "heat sources" and the connecting paths obtained through resistance surface calculations as "heat island corridors." The resistance surface calculation is not based on empirical assignment, but rather on machine learning to model the weights of six clearly defined factors (DEM, ISF, NDVI, NDBI, NDWI, and Slope), more accurately reflecting the real impact of different surface types and topographic features on heat transfer. This process-oriented, large-scale network analysis based on resistance surfaces is far superior to traditional methods that identify heat island hotspots using only static temperature distributions, contributing to the scientific and targeted determination of blocking locations.

[0053] 3. The organic combination of ecological corridor layout and heat island corridor blocking achieves the dual benefits of ecological and climate regulation.

[0054] The ecological corridors proposed in this application are not constructed independently, but are directly coupled with the space blocked by the heat island corridor. During the ecological network construction phase, ecological land source areas are selected using land use data, and core ecological patches exceeding 3 km² are screened using morphological analysis. Ecological connectivity corridors are generated using a minimum cumulative resistance approach. In the layout, these ecological corridor paths are prioritized to coincide with the intersections of the heat island corridors. Utilizing the inherent physical and ecological functions of ecological land, such as cooling, water storage, and transpiration, the corridors enhance ecological connectivity while increasing thermal resistance, effectively blocking heat island transmission. This integrated utilization avoids spatial conflicts between ecological facilities and climate control facilities and also improves land use efficiency.

[0055] 4. The technology implementation has the ability to be iteratively optimized and can adapt to changes in the urban environment over a long period of time.

[0056] This application incorporates a feedback mechanism in its implementation path—periodically acquiring the latest surface temperature and ecological connectivity data to conduct a dual assessment of the blocking effect and ecological function of the deployed composite corridor sections. Based on the assessment results, the blocking positions of the heat island corridors can be adjusted or the layout of ecological corridors can be optimized, thereby adapting to external factors such as changes in urban construction layout and fluctuations in climate conditions, achieving dynamic optimization and long-term collaborative governance.

[0057] 5. The structural improvements and effect formation principle of this invention compared with the prior art.

[0058] Compared with traditional single-function corridors (simple heat island networks, ecological connections, or purely greening for cooling), the "heat-ecological composite corridor" proposed in this application has two major improvements in construction logic and structural form: (1) The criteria for corridor identification are different. The heat island corridor path is a high-efficiency heat transfer channel identified based on resistance surface and network analysis, rather than just the connection of ecological source areas. This makes the corridor direction more in line with the spatial propagation law of heat. (2) Superposition of spatial action mechanisms. Within the same corridor, ecological elements (green space, water body, wetland) are superimposed at the thermal blocking point, and physical resistance (measured by the resistance surface) and ecological cooling effect take effect simultaneously. The principle is: increasing thermal resistance forces heat flow to detour through inefficient paths, reducing the overall transmission intensity; on this basis, ecological elements further reduce the heat source intensity, achieving a dual physical-ecological weakening.

[0059] The combined layout of the above structures and mechanisms enables the composite corridor sections to achieve synergistic effects in improving the thermal environment and enhancing the ecological network, with results that are significantly better than existing single-function corridors.

[0060] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made to the technical solutions of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A simulation design method of an urban ecological corridor, characterized in that, The method comprises: S1, collecting multi-temporal thermal infrared remote sensing images of a city to be simulated and designed and performing pretreatment to obtain core heat island nodes; S2, constructing a heat resistance surface based on different ground surface types to obtain a heat transfer resistance surface, wherein the different ground surface types include a digital elevation model, an impervious surface index, a normalized vegetation index, a normalized building index, a normalized water body index, and a slope; S3, taking the core heat island nodes as network endpoints to search for a connected path with the lowest resistance on the heat transfer resistance surface to obtain a city heat island corridor; S4, taking city land use data as a basis, taking forests, wetlands, large parks, and water ecological land as candidate ecological source areas, and constructing an ecological connection path from the perspective of ecological connectivity to obtain a city ecological corridor.

2. The method of claim 1, wherein, The method of S1 comprises: collecting multi-temporal thermal infrared remote sensing images of a city to be simulated and designed; obtaining an inversion temperature of the city to be simulated and designed based on the multi-temporal thermal infrared remote sensing images; dividing the temperature of the entire region of the city to be simulated and designed into preset temperature grades based on the inversion temperature to obtain potential high-temperature nodes; performing spatial structure decomposition and field structure judgment based on the potential high-temperature nodes to obtain a pixel set of a "core area"; obtaining the core heat island nodes based on the pixel set of the "core area".

3. The method of claim 1, wherein, The method of obtaining the inversion temperature of the city to be simulated and designed based on the multi-temporal thermal infrared remote sensing images comprises: ； wherein, is the inverted land surface temperature of the pixel, , is the land surface emissivity, , is the calibration constant, is the thermal infrared band radiation brightness value received by the sensor, is the atmospheric correction term.

4. The method of claim 3, wherein, The method of performing spatial structure decomposition and field structure judgment based on the potential high-temperature nodes to obtain the pixel set of the "core area" comprises: performing spatial structure decomposition based on the potential high-temperature nodes; ； After that, the field structure is judged to identify the core, edge and connection categories, and define the eight field sets of each pixel : ； wherein for each pixel of the eight-neighborhood set, is the pixel; For any pixel satisfying the following rules are applied for classification: Core pixel: for all , if , then define the pixel as a core pixel: ； wherein, is a core pixel, represents a pixel set of eight-neighbor coordinates of the pixel, the core pixel forms a pixel set of the "core region"; Edge pixel: if but if there are pixels in the neighborhood that belong to the target class and pixels that do not belong to the target class, then the pixel is defined as an edge pixel: ； wherein, is the edge pixel, denotes the set of values of all pixels in the neighborhood; Connected pixel / corridor pixel: if , and the number of the same kind of connected pixels in its neighborhood is less than a preset number, then it is defined as a connected or corridor pixel, and let be the connected threshold value: ； wherein is a connection or gallery type pixel.

5. The method of claim 4, wherein, The method of obtaining the core heat island nodes based on the pixel set of the "core area" comprises: obtaining the core heat island nodes based on the pixel set of the "core area" and in combination with a preset area screening condition.

6. The method of claim 5, wherein, The method of S2 comprises: Defining a heat transport resistance surface is: ； wherein, represents the standardized value of the th factor, is the weight of the th factor.

7. The method of claim 6, wherein, The method of S3 comprises: ； wherein, is a node is a node is the minimum path, i.e. the possible transmission path of heat in the urban space, between the nodes denotes the set of all candidate paths from a node to a node , denotes the resistance value at a pixel or node , denotes the distance between adjacent pixel centers.

Images