17 results about "Ecological planning" patented technology

The invention provides an ecological system service flow simulation and collaborative tradeoff relation quantification method based on a graph neural network, and relates to the technical field of ecological system service simulation and quantification. According to the method, the Huaihe River basin serves as a research area, firstly, a landscape is abstracted into a graph structure, ecological patches serve as nodes and are endowed with multi-dimensional features, ecological process flow paths serve as edges, and flow attributes are quantified; then, constructing a graph neural network model, and learning inherent rules of generation, flow and consumption of an ecological system service through training; and finally, realizing ecological system service, particularly dynamic simulation of supply service and adjustment service, and quantifying the collaborative tradeoff relation by adopting a multi-index fusion method. According to the method, the nonlinear correlation of the ecological process can be accurately captured, the flow simulation and relation quantification precision is improved, scientific support is provided for ecological planning and management of the Huaihe River basin, and compared with an InVEST model, the simulation error is reduced by 20%-30%, and the collaborative tradeoff recognition accuracy is improved by 15% or above.

The invention discloses a multi-class-group ecological safety operation space determination method and system for a large estuary delta and a storage medium. Relates to the technical field of ecological environment protection and wetland resource management. The method comprises the following steps: acquiring multi-source spatio-temporal data of a target estuary delta, preprocessing, constructing a multi-period inning boundary database, analyzing a distance effect, calculating an inning strength index, determining an optimal hysteresis period through hysteresis analysis, constructing three types of accumulation indexes, fitting a response relation curve of the three types of accumulation indexes and biodiversity, and determining the biodiversity of the target estuary delta. Identifying non-linear inflection points on the curve to determine a threshold position; and constructing a biodiversity response surface according to the analysis result, and further identifying the ecological operation space. According to the method, data of multi-stage remote sensing, multi-class biodiversity monitoring and the like and a multi-model joint calculation framework are combined, the lag response, the cumulative effect and the threshold features of the multi-class biocenosis are quantitatively recognized, an ecological safety operation space recognition system is formed, and support can be provided for ecological planning, management and decision making.

The application discloses a kind of urban bird species distribution prediction method and system based on deep learning, it is related to the technical field of ecology and landscape architecture, by realizing the unified modeling of environmental characteristics, species co-occurrence relationship and spatial proximity information;Through environmental characteristic intelligent weighting and enhancement mechanism and multi-task joint learning strategy, the expression ability of model to ecological correlation structure is improved;Combined with species richness stratified evaluation and calibration mechanism, the reliability of the prediction result of uninvestigated area is enhanced;Form the automation technical process from data processing, model training to regional species richness output, can provide efficient, systematic technical support for urban biodiversity assessment and ecological planning.

This invention provides a method, device, and electronic device for constructing an ecological network with spatial dust retention function, belonging to the field of ecological planning technology. The method includes: correcting the basic PM2.5 diffusion resistance coefficient of each spatial grid in the spatial grid model based on a landscape correction factor to obtain a comprehensive PM2.5 diffusion resistance surface; the basic PM2.5 diffusion resistance coefficient is determined based on the hindering effect of land use type on PM2.5 diffusion; based on the spatial distribution map of PM2.5 pollution sources and the comprehensive PM2.5 diffusion resistance surface, performing minimum cumulative cost analysis and current distribution calculation based on circuit theory to obtain PM2.5 diffusion corridors; and identifying and analyzing key control nodes based on the PM2.5 diffusion corridors to obtain key control nodes for constructing a PM2.5 diffusion control ecological network. This invention realizes a systematic PM2.5 diffusion control ecological network construction scheme integrating landscape ecology source-corridor-node morphology.

This invention discloses a comprehensive ecological risk early warning method and system, belonging to the field of urban ecological planning. The method includes: obtaining land use raster sequences based on multi-scenario land use simulation; assessing ecosystem service supply capacity and ecological exposure intensity; identifying service degradation indices and co-degradation event variables; performing nonlinear threshold diagnosis based on co-degradation events and candidate driving factors to obtain a robust threshold set; constructing threshold crossing ratios based on robust thresholds; and fusing the service degradation index, ecological exposure intensity, and threshold crossing ratios to obtain a comprehensive ecological risk early warning index and outputting it in a tiered manner. This invention realizes the transformation of risk from static grading to process-oriented early warning, explicitly extracts the nonlinear thresholds of key driving factors, and directly translates the early warning results into early warning levels, control boundaries, and differentiated governance strategies, providing a unified technical solution for urban ecological risk prevention and control and land space governance.

The invention discloses a traffic infrastructure ecological collaborative selection method and device, and the method comprises the steps: collecting multi-source ecological planning picture data and traffic remote sensing image data, and unifying spatial reference through GIS geographic registration; based on image characteristics, adaptively adjusting segmentation parameters, and performing multi-scale segmentation to obtain vector graph data of a region to be selected and divided; superposing vector data to calculate an ecological-development index value, and quantifying ecological protection and development suitability; and finally, site selection is carried out according to the index value, and collaborative optimization of traffic infrastructure and ecological protection is realized. According to the method, through multi-source data fusion and quantitative evaluation, the scientificity and ecological adaptability of a selection result are improved, and the method is suitable for ecological collaborative planning site selection of basic traffic facilities.

This invention discloses an analytical method and apparatus for the delineation and planning control of county-level spatial ecological units, relating to the field of ecological planning. The method includes: using the Analytic Hierarchy Process (AHP) to divide evaluation indicators into an evaluation indicator system and initial weights, comprising: using the AHP to divide evaluation indicators into a target layer, a criterion layer, a sub-criterion layer, and an indicator layer; obtaining combined weights after correction using the CRITIC method and the coefficient of difference method; using ArcGIS to obtain the score values ​​of each evaluation indicator within the sub-criterion layer; weighting and summing the score values ​​to obtain the evaluation result; dividing the evaluation indicators of the criterion layer into baseline control units, ecological maintenance units, protection and restoration units, ecological recreation units, and water source security units according to the MOLA model; and planning and controlling the divided units according to a combination of constraint indicators and unit access requirements. This invention can meet the unit delineation and management needs of different functions.

This invention discloses a method for screening ecological source areas in densely populated urban areas that couples multiple factors with planning overlays. Belonging to the field of urban ecological planning, the method includes the following steps: screening of dual indicator species and construction of differentiated resistance surfaces; habitat suitability assessment and preliminary extraction of potential source areas; minimum cost path simulation under cost constraints; functional connectivity importance evaluation based on graph theory; three-factor coupled screening and source area classification; and verification and application feedback of overlay with statutory planning. This invention, a method for screening ecological source areas in densely populated urban areas that couples multiple factors with planning overlays, comprehensively evaluates the ecological value of patches from three dimensions: internal patch attributes, external migration resistance, and their connecting role in the network. This significantly improves the scientific rigor and comprehensiveness of source area screening, directly identifying ecological source areas covered, omitted, or requiring improvement under planning, providing clear and operable technical support for planning revision, implementation, and daily ecological management.

The application discloses an intelligent prediction method and system for urban green space species and community structure, relates to the cross technical field of urban ecological planning, biodiversity protection and artificial intelligence, and comprises the following steps: performing spatial embedding processing and mapping on multi-dimensional environmental variable data and plant functional trait data respectively to obtain an environmental embedding matrix and a trait embedding matrix; inputting the environmental embedding matrix and the trait embedding matrix into a pre-trained cross-modal contrast learning model to output a grid species similarity matrix; performing threshold determination on the grid species similarity matrix based on a preset optimal existence determination threshold to obtain a plant species distribution prediction result of each grid; identifying a habitat type based on the multi-dimensional environmental variable data to obtain a habitat type of each grid; determining a capacity boundary constraint parameter of each grid in a vegetation layer based on the habitat type of each grid and vegetation structure observation data; and performing probabilistic completion on a missing plant species based on the plant species distribution prediction result of each grid and the capacity boundary constraint parameter of each grid in the vegetation layer to obtain a final plant community composition result of the grid.

The present application relates to the field of ecological protection data processing, in particular to an ecological management evaluation method based on ecological pattern and an ecological integrated monitoring system. The method proposed by the present application determines an ecological pattern evaluation matrix based on six dimensions according to an ecological pattern data set, and obtains a dynamic weight distribution model based on an ecological management target. The weight matrix obtained in the dynamic weight distribution model is multiplied by the ecological pattern evaluation matrix to obtain the evaluation score based on different ecological management targets, so that the completion of the ecological management target can be judged. The method of the present application focuses on the ecological pattern level, comprehensively integrates multi-dimensional ecological information, and systematically reflects the overall characteristics and operating state of the ecological system. A unified weight adjustment model is used to flexibly adapt to different management targets such as ecological protection, ecological planning and ecological restoration, and there is no need to build a complex evaluation system for each target.

The invention discloses a grassland grazing space self-organizing planning method fusing ecological process simulation, and relates to the technical field of grassland ecological planning, and the method comprises the following steps: S1, constructing a unified expression basis of a grassland grazing space unit and ecological process bearing relationship; s2, carrying out ecological process time sequence evolution description by using a space unit bearing relationship; s3, generating a self-organizing association structure among the space units by using the ecological process evolution table set; s4, performing planning constraint consistency arrangement by using a grazing space self-organizing relation set; and S5, performing ecological process simulation verification by using the planning structure expression and the ecological process evolution table set. According to the method, by setting the ecological process evolution table set constructed based on the unified time scale, direct, comparable and quotable basic expression is provided for subsequent space unit self-organizing relation generation and ecological process simulation verification, and therefore the defects in the aspect of ecological process time sequence expression and spatial planning connection in the prior art are effectively overcome.

The invention discloses a river natural shoreline intelligent identification method and system based on multi-source remote sensing data, relates to the technical field of geographic information processing, environment remote sensing monitoring and smart city ecological planning, and solves the problems of low efficiency and insufficient precision of traditional identification. Comprising the following steps: acquiring data such as RGB / multispectral images with the resolution of less than or equal to 1m and laser radar point clouds; carrying out radiation correction, geometric registration and NDWI segmentation preprocessing; initially extracting a continuous shoreline by using a Canny operator and topological optimization; multi-dimensional features such as curvature, gradient and NDVI are calculated; a natural shoreline probability graph is output through a random forest classifier with the tree number being 500 and the maximum depth being 10, a distribution graph is generated after morphological filtering optimization, and related data are counted. The system comprises a remote sensing data server and other hardware and corresponding software modules. According to the invention, high-precision identification of the natural shoreline is realized, and support is provided for urban river ecological protection and shoreline planning.

The invention provides a territorial space planning method and system fusing ecological safety and urban development, and the method comprises the steps: obtaining urban development evaluation factors and ecological evaluation factors to construct an urban development potential pattern network and an ecological safety pattern network, giving a development potential value and an ecological resistance value, and constructing an ecological-development conflict intensity network, the method comprises the steps of obtaining a resampling development potential value and a resampling ecological resistance value, obtaining an ecological-development conflict intensity index, generating a high-intensity conflict region spatial distribution map, defining a comprehensive conversion probability, constructing a town planning cellular definition model, setting a planning requirement group, and constructing a multi-objective optimization problem in combination with the comprehensive conversion probability. And solving a multi-objective optimization problem based on a swarm intelligent multi-objective optimization algorithm, obtaining a development ecological planning set and configuring an ecological development territorial space report, and realizing dynamic conflict identification and multi-objective optimization collaborative decision-making of ecological safety and urban development.

The invention relates to a river, lake and reservoir water ecological data compilation method and system, and relates to the field of water ecological environment monitoring. According to the technical scheme, through multi-source heterogeneous data collection and Excel automatic integration, the problem of scattered data analysis management is effectively solved, original data standardization arrangement is achieved, unified data storage and resource application services are provided, and the water ecological data informatization management level and utilization efficiency are greatly improved. Moreover, through a high-order implementation normal form of species naming matching, accurate association retrieval of species and Compendium family information is realized, manual discrimination deviation is avoided, and data accuracy is ensured; a result engine reorganization generation mechanism replaces manual operation, the reorganization efficiency is remarkably improved, and the error rate is reduced. In addition, self-defined evaluation parameters are supported to generate adaptive results, complex scene analysis is adapted, the scheme is high in replicability and extensibility, the method can be popularized and applied to the same type of water bodies throughout the country, and reliable technical support is provided for water ecological planning protection decision making.

This invention discloses a method and apparatus for ecologically coordinated planning of transportation infrastructure, comprising: collecting multi-source ecological planning image data and traffic remote sensing image data, and unifying spatial reference through GIS geographic registration; adaptively adjusting segmentation parameters based on image characteristics to perform multi-scale segmentation and obtain vector graphic data of the area to be planned; superimposing vector data to calculate an eco-development index value to quantify the suitability of ecological protection and development; and finally selecting a site based on the index value to achieve coordinated optimization of transportation infrastructure and ecological protection. This method, through multi-source data fusion and quantitative evaluation, improves the scientific rigor and ecological adaptability of the planning results, and is applicable to the ecologically coordinated planning and site selection of basic transportation facilities.

The invention provides a landscape garden ecological planning decision-making method based on an industrial internet knowledge graph, and belongs to the cross technical field of landscape garden science, computer science and technology, and industrial internet of things engineering, and the method comprises the steps: S1, obtaining standardized ecological-industrial fusion perception data; s2, generating a landscape garden ecological planning knowledge graph basic library; s3, generating a dynamic association rule set of ecological factor-industrial sensing data; s4, generating a preliminary ecological planning deduction scheme; and S5, generating a multi-dimensional ecological planning decision scheme set. According to the method, data real-time performance, association quantification, deduction dynamic performance, decision scenario performance, verification comprehensiveness and implementation iteration of landscape garden ecological planning decision are realized, the adaptability and scientificity of a planning scheme, ecological characteristics of a planning area and industrial sensing network characteristics are improved, and the method is suitable for large-scale popularization and application. And a brand-new technical path and an implementation method are provided for landscape garden ecological planning.

The invention discloses a path-based greenbelt fairness assessment method and device, and relates to the field of urban ecological planning and assessment, and the method comprises the steps: obtaining greenbelt feature data and individual activity data of a to-be-assessed region; wherein the greenbelt feature data comprises remote sensing image data and street view image data; the individual activity data comprises population density distribution and an individual activity position time sequence set; determining an activity path of each collection individual according to the individual activity position time sequence set; based on the activity path of each acquisition individual, calculating a green land coverage index corresponding to the activity path of each acquisition individual according to the remote sensing image data, and calculating a street green vision rate corresponding to the activity path of each acquisition individual according to the street view image data; according to the population density distribution, combined with a green land coverage index and a street green vision rate, calculating a comprehensive green land exposure index of each collection individual; and according to the comprehensive greenbelt exposure index of each collection individual, obtaining a greenbelt fairness assessment result of the to-be-assessed region based on a Gini coefficient and a Tele coefficient.