19 results about "Urbanization" patented technology

The invention relates to the technical field of urban hydrological simulation and flood forecasting, and particularly discloses a comprehensive unit line improvement method applicable to an urbanized region, which comprises the following steps: S1, constructing an urban rainstorm runoff model, and simulating the flow process of a drainage basin outlet section under rainstorm in different recurrence periods; s2, calculating the flow process of the drainage basin outlet section under the same design rainstorm, and reconstructing and converting the flow process into a centralized flow process; s3, distributing the centralized flow process into sub-flows of a water outlet and a river channel section; s4, on the basis of the actual maximum drainage capacity of the drainage port, storage and drainage response correction is carried out on the sub-flow process of the drainage port, and a time sequence flow process considering drainage capacity constraint is formed; s5, calculating the segmented delay of the propagation time lag to the corrected flow, and obtaining an improved total flow process; the improved urban rainstorm basin outlet flow simulation is realized by performing space-time reconstruction, space distribution, drainage capacity constraint correction and propagation time delay delay on the flow process.

The application discloses a kind of county village's job-housing balance evaluation and early warning method and system, belong to job-housing balance evaluation field.The application has adopted process analysis method, according to the time-space behavior of residents reflects the job-housing commuting characteristics of residents in county, the flow direction, quantity, distance and other elements of population flow are identified through massive mobile phone signaling data, in turn through process test to determine whether there is a large number of overlong commuting distance event in town unit, if there is, trigger early warning auxiliary system, should be through planning means to further strengthen the resource input and element configuration of the town, to alleviate the condition of job-housing over separation, promote the overall level of urban-rural integration of county.The application pays attention to under the background of high-quality urbanization still exists heavy city light rural element configuration mode, lead to a large number of town population job-housing mismatch problem, can assist the investment decision of county and promote the further development of town.

The present application relates to the field of geographic information analysis, and particularly relates to a cityization influence threshold identification method and device for supply and demand of coastal wetland ecological function, based on spatial position coordinate data of a plurality of grid units in a coastal area, a cityization level comprehensive index, and a supply and demand ratio of comprehensive ecological function of the coastal wetland, a preset initial spatial weighted threshold identification model is fitted to identify a critical point of the cityization level on the supply and demand relationship change of the ecological function of the coastal wetland, to reflect the stage response characteristics of the supply and demand of the ecological function of the coastal wetland to the cityization and the spatial heterogeneity characteristics of the cityization influence mechanism in different geographic units, to effectively identify the spatial difference threshold characteristics of the supply and demand relationship of the ecological function of the coastal wetland in the response process to the cityization, and to provide a refined and partitioned scientific basis for regional ecological management strategies.

The application provides a kind of urbanization threshold determination method based on multi-objective optimization under water resource constraint, which determines water intensity under different efficiency scenarios through panel quantile regression, reduces the subjective setting degree of water demand parameters, and improves the accuracy of water demand parameter identification under different efficiency states.In addition, urban population, added value of the secondary industry and added value of the tertiary industry are taken as decision variables, and a multi-objective optimization function is constructed under the constraints of water resource rigidity, urban development boundary and variable boundary, realizing the collaborative solution of the relationship between urbanization scale expansion and water resource constraint.The scheme determines the urbanization threshold range based on the multi-objective optimal solution set, combined with ideal point distance identification, inflection point identification and marginal cost jump verification, which can more truly reflect the multi-objective trade-off relationship between non-agricultural comprehensive output, water resource pressure and regional development imbalance, and improve the stability and planning applicability of threshold identification.

The invention discloses a valley-type city-oriented air pollution quantitative analysis method and system, and the method comprises the steps: obtaining the historical pollution data of a target valley city, and constructing a data input queue which comprises a real reference scene, a terrain-free scene, a city-free scene, and a scene which does not comprise a real reference scene, a terrain-free scene, a city-free scene, and a scene which does not comprise the terrain-free scene and the city-free scene; driving a meteorological-chemical numerical simulation model coupled with the urban canopy model to execute each scene simulation to obtain a corresponding pollution concentration result queue; calculating and generating three independent component queues of urbanization individual influence, terrain individual influence and cooperative influence of the urbanization individual influence and the terrain individual influence by utilizing a contribution decomposition algorithm; through iterative judgment and optimization, enabling the cooperative influence to meet a preset requirement; and finally generating a spatial quantization map based on each component queue. According to the method, accurate decoupling and quantitative separation of the terrain and urbanization cooperative pollution effect are realized, the problem that a traditional method is difficult to quantify complex interactive influence is solved, and a direct quantitative decision basis is provided for accurate planning and pollution prevention and control of river valley cities.

The invention provides a simulation and evaluation method and system for urban composite water pollution, and the method comprises the steps: taking a rainstorm management model SWMM as a basic platform, dividing a sub-basin and a spatial patch, and building a spatial association relationship among the spatial patch, the sub-basin, a sewer network and an inspection well; a water power module, a runoff pollution module and a combined system overflow CSO pollution module are constructed respectively, coupling among the modules is established to obtain a coupling model, output of the water power module drives load calculation of the runoff pollution module and the CSO pollution module, pollution loads of the runoff pollution module and the CSO pollution module are summarized, and combined pollution total output is obtained; acquiring climate prediction data and urbanization prediction data of a future scene, performing downscaling and standardization processing on the climate prediction data and the urbanization prediction data respectively, generating input data matched with the scale of the coupling model, inputting the input data into the coupling model, and performing simulation to obtain pollution results under different future scenes; according to the method, the simulation precision, prediction reliability, prevention and control targeting and planning adaptability of urban combined pollution are improved.

The invention discloses a quantitative analysis method and system for an urbanization intensity index. The method comprises the following steps: acquiring streetscape image data of a target city; according to the streetscape image data, determining an unconstructed total area of the unconstructed environment and a constructed total area of the constructed environment; calculating Shannon entropy of various elements in the unconstructed environment and the constructed environment; and carrying out weighted calculation on the total unconstructed area and the total constructed area by adopting Shannon entropy to obtain the urbanization intensity index of the target city. Therefore, by adopting the embodiment of the invention, the area proportion of the built environment relative to the unbuilt environment is measured, and the Shannon entropy is introduced as a weighting factor of the structural complexity, so that the coupling relationship between the urban space development scale and the functional diversity is disclosed, the urbanization intensity of different regions in the city can be accurately evaluated, and the urban development efficiency is improved. And meanwhile, the accuracy of urban space function diversity evaluation is improved.

The application discloses a kind of atmospheric pollution quantification analysis method and system for valley type city, method includes: obtaining the historical pollution data of target valley city, constructs and includes four groups of scene data input queue of real benchmark, no terrain, no city and no two thereof;Drive the meteorology-chemical numerical simulation model coupled with city canopy model to execute each scene simulation, obtain corresponding pollution concentration result queue;Three independent component queues of city influence, terrain influence and the synergistic effect of both are calculated and generated using contribution decomposition algorithm;Through iteration judgment and optimization, make synergistic effect meet preset requirements;Finally, generate spatial quantification atlas based on each component queue.The application realizes the accurate decoupling and quantitative separation of terrain and urbanization synergistic pollution effect, solves the problem that traditional method is difficult to quantify complex interaction, provides direct quantitative decision basis for precise planning and pollution prevention and control of valley type city.

This invention proposes a method and system for assessing the drought impact of urbanization based on multi-source data fusion, belonging to the technical field of environmental monitoring. The method includes acquiring a first dataset of an urban area, which is a multi-dimensional spatial dataset; performing multi-source data fusion on the first dataset using the entropy weight method to obtain first data corresponding to the first dataset; and generating an ecological risk level distribution map corresponding to the urban area based on the spatial distribution relationship between various types of index data in the first data, wherein the ecological risk level distribution map is a drought impact risk map of urbanization. This invention can objectively and accurately assess the ecological impact of urbanization, providing a direct scientific basis for urban planning and ecological management.

This invention provides a method for the integration and coordination of urban functions based on urbanization characteristics, comprising the following steps: S1: Constructing a classification dataset of urbanization characteristics; S2: Generating a quantitative analysis report of urbanization characteristics; S3: Constructing an urban function classification system; S4: Creating a target system document for urban function integration; S5: Designing an urban function integration layout scheme; S6: Constructing an urban function coordination mechanism. This invention, through the integration of quantitative algorithms and multi-dimensional coordination mechanisms, breaks through the limitations of traditional planning, ensuring that urban functions are spatially integrated, coordinated in operation, and adaptable in development, providing systematic technical support for improving the quality of urbanization.

The invention discloses a highly urbanized region territorial space planning system reconstruction method, and relates to the technical field of territorial space planning. The method comprises the following steps: carrying out multi-dimensional granulation splitting on stock territorial space based on a reconstruction object to obtain multi-dimensional space particles; obtaining each particle attribute vector, and constructing a spatial particle attribute database; constructing a particle recombination constraint rule set; performing collaborative gain analysis on the database under the rule set, and screening a corresponding optimal planning scheme meeting a preset threshold value; and outputting a stock territorial space particle size planning result according to the scheme. The technical problems that when an existing planning system faces stock space updating in a highly-urbanized region, coordination is difficult, flexibility is insufficient, conduction loss exists, and refined and collaborative treatment is difficult to achieve are solved, and the purposes that stock territorial space multi-dimensional element refined splitting, collaborative optimization and grain level reconstruction are achieved under the multiple constraint conditions, and the planning efficiency is improved are achieved. And the scientificity, the adaptability and the implementation efficiency of territorial space planning are improved.

The invention relates to an urbanization land efficiency evaluation method and device fusing multi-source geographic space data, and relates to the technical field of geographic information processing. The method comprises the following steps: firstly, dividing land units, and constructing a multi-layer feature set containing natural environment, built-up environment and functional benefits; a spatial neighborhood set is constructed through Euclidean distance, and natural and constructed environment similarity neighborhood sets are screened out in combination with Mahalanobis distance; calculating the expectation and standard deviation of the similarity neighborhood set of the natural environment, and obtaining the physical construction efficiency through truncation normalization and weighted fusion; based on the established environment similarity neighborhood set, the function output efficiency is solved by adopting an ensemble learning and data envelope method; and finally, integrating the efficiency of all land units to complete region evaluation. According to the method, evaluation robustness is improved, geographical heterogeneity deviation is eliminated, layered evaluation is realized, and technical support is provided for intensive utilization of urban land.

This invention provides a method and system for analyzing the efficiency of industrial land use based on multi-source spatiotemporal data. By collecting and preprocessing multi-source spatiotemporal data, and using intelligent recognition for data spatial fusion and information extraction, it identifies and classifies multi-dimensional inefficient land use, analyzes the causes of inefficient industrial land use, predicts future efficiency trends of inefficient industrial land use, and finally generates an intelligent report. This achieves a comprehensive, dynamic, and causal assessment and prediction of construction land efficiency. This invention responds to the core requirement of new urbanization and urban renewal policies to improve the level of economical and intensive land use.

This invention relates to the field of network analysis and discloses an urbanization spatial correlation network analysis system based on territorial spatial planning. The system includes standardizing multi-dimensional indicators reflecting scientific and educational innovation, urban and rural development, ecological livability, and livelihood security to form urbanization functional state vectors for each town; introducing population size, economic scale, and spatial distance constraint factors to construct an urbanization spatial interaction matrix and generate a spatial correlation network and record network structure parameters; calculating the overall network density, hierarchical characteristics, and node centrality parameters to generate a set of parameters influencing collaborative constraint factors; identifying the development stage of the urbanization spatial correlation network and generating a set of staged collaborative regulation strategies; and simulating and analyzing the resource allocation process between town nodes to output feasible cross-city resource allocation intervals that meet the requirements of network stability and collaborative efficiency. This invention has the advantages of improving scientific rigor and operability.

This invention discloses a method for quantifying the coupling degree of drought-heat wave and decomposing its driving forces based on a time-varying moment model (PMOE). It constructs a time-varying moment-constrained maximum entropy distribution (POME) model for heat wave and drought sequences, expressing the key Lagrange multipliers of the PMOE model as a linear function of climate indices and urbanization factors to characterize the time-varying characteristics of univariate marginal distributions. Based on pseudo-observations, a time-varying Copula model considering physical driving factors is constructed. Through the optimal combination of various parameter structures, the dynamic evolution of the interdependent structure between drought and heat waves is characterized. By calculating and comparing risk impact indicators under multiple models, the influence of climate change and human activities on the coupling degree of drought-heat waves is quantified and separated. This invention achieves simultaneous characterization of the dynamic evolution and non-stationary characteristics of complex extreme events, and effectively identifies and decomposes the contributions of key physical driving factors, providing a scientific basis for dynamic risk assessment and adaptive countermeasure formulation for regional complex events.

The application is suitable for the technical field of demand prediction, and particularly relates to a management system for urbanization resource demand prediction based on big data analysis, which comprises a collection device, a node sorting device, a demand writing device and a difference updating device; the collection device is used for collecting urbanization resource data of a city, cutting the data into a plurality of indexes, creating a branch node corresponding to each city, mounting a leaf node corresponding to each index in the branch node, collecting real-time data of each index and uploading the real-time data into the leaf node, integrating the branch node and the leaf node and generating a binary tree; and the node sorting device is used for sorting the binary tree. According to the urbanization process of a target city, the demand prediction tree can be used to dynamically adjust a leading city, so that the accuracy of resource demand prediction is greatly improved. In addition, by replacing difference items, the demand prediction tree can be corrected, so that the accuracy of resource demand prediction is further improved.

The invention relates to a method for quantifying the influence of different expansion stages of an urban agglomeration on air temperature based on multi-source data. The method comprises the following steps: acquiring multi-source data of a target urban agglomeration and a target research time period; based on the acquired multi-source data, dividing the air temperature stations into urban stations, suburban stations and suburban change stations, and dividing the target research time period into an urban agglomeration rapid expansion period and a slow expansion period; calculating an air temperature change trend for the rapid expansion period and the slow expansion period; and based on the air temperature change trend, calculating an air temperature change tendency difference value UMR and an urbanization contribution rate UC of the urban station and the suburban station, and quantifying the influence of urban agglomeration expansion on the air temperature. The method improves the quantification accuracy of the influence of urban agglomeration expansion on the air temperature, determines the differentiation effect of different expansion stages and regions, provides a scientific basis for urban agglomeration thermal environment improvement and sustainable development planning, and can be popularized to various urban agglomerates.

The application provides a kind of urban ecological corridor connectivity evaluation method and system based on field observation.The method in the application successively includes selecting object corridor and preparing the data of object corridor;Calculate the overall morphological structure index, internal habitat characteristic index, potential human disturbance index and wild animal utilization index of object corridor;Calculate the comprehensive evaluation index of corridor connectivity;Determine the connectivity of object corridor according to the comprehensive evaluation index of corridor connectivity.The application is based on field observation data, and evaluates the connectivity of real urban ecological corridor in situ, overcomes the defects that the connectivity evaluation of ecological corridor in the past relies on model simulation, has higher practical application value, makes the evaluation of corridor connectivity more intuitive, systematic and comprehensive, and is more suitable for dynamic changes of urbanization, so as to realize the maximization of connectivity function and ecological benefit of urban ecological corridor.