55 results about "Urbanization" patented technology

The invention relates to the field of geographic information analysis, in particular to a method and a device for identifying a threshold value of an influence of urbanization on supply and demand of a coastal wetland ecological function, and the method and the device are based on spatial position coordinate data of a plurality of grid units of a coastal area, an urbanization level comprehensive index and a coastal wetland comprehensive ecological function supply and demand ratio. Performing model fitting on a preset initial space weighted threshold identification model to identify a critical point of the urbanization level to the change of the supply and demand relationship of the coastal wetland ecological function, and reflect the staged response characteristics of the supply and demand of the coastal wetland ecological function to urbanization and the spatial heterogeneity characteristics of the urbanization influence mechanism in different geographic units; the spatial difference threshold value characteristics of the coastal wetland ecological function supply and demand relation in the urbanization response process are effectively identified, and a refined and zoned scientific basis is provided for a regional ecological management strategy.

The invention provides an intermediary effect intensity model-based urban and rural ecotone evaluation method, which comprises the following steps of: S1, acquiring and preprocessing urbanization data and land utilization data, delimiting an urban and rural ecotone and acquiring urban and rural ecotone data; s2, constructing an urban and rural interlaced zone distribution diagram based on the delimited urban and rural interlaced zone, and carrying out grid division on the urban and rural interlaced zone distribution diagram; s3, acquiring a PLS-SEM model analysis result for the urbanization data and the urban and rural crisscross zone data on the basis of a PLS-SEM intermediary effect intensity model; S4, constructing a new intermediary effect intensity model on the basis of the PLS-SEM model analysis result; s5, calculating an intermediary effect intensity value based on the new intermediary effect intensity model; and S6, evaluating the urban and rural interlaced zone based on the intermediary effect intensity value. According to the method, the intermediary effect of the urban-rural interlaced zone is analyzed to explore the interaction relationship between urbanization and the urban-rural interlaced zone, and then a new intermediary effect intensity model is proposed to evaluate the urban-rural interlaced zone.

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 invention relates to the technical field of municipal old pipe network repair, and aims to solve the problems that a traditional excavation repair method is long in construction period and affects traffic and environment, and an existing ultraviolet light curing repair technology is not fine in process step and inaccurate in parameter control. The background technology shows that the municipal old pipe network maintenance demand is urgent in the urbanization process, the trenchless repair technology is concerned due to the fact that large-scale excavation is not needed, and the ultraviolet light curing repair technology is rapid in repair and reliable in quality, but the steps of pipeline pretreatment, material preparation and the like are lack of standardized processes. And improper control of key parameters such as curing temperature and time easily affects the performance of the lining pipe. On the basis, according to the non-excavation ultraviolet light curing repair construction method for the municipal old pipe network, through refined steps and strict parameter control, the repair effect and efficiency are improved, the influence on normal operation of a city is reduced, and an optimization scheme is provided for pipe network maintenance.

The utility model discloses a road drainage system in a pluvial area. With the acceleration of the urbanization process, the urban inland inundation problem in a rainy region is increasingly serious. Curbs are arranged between the sidewalk and the roadway, a plurality of biological retention belts are arranged on the sidewalk and located on one side of the roadway at intervals, each retention belt comprises two ecological tree pools, and a concave green land is arranged between the ecological tree pools; one part of rainwater on the roadway is discharged into a municipal rainwater pipe network through a gutter type rainwater opening, and the other part of rainwater is converged into a bioretention zone through a kerb opening; rainwater collected in the ecological tree pool and the concave greenbelt passes through the rainwater overflow well and is finally connected into a municipal rainwater pipe network; rainwater on the sidewalk infiltrates downwards through the CT granite permeable plate and is guided to the rainwater overflow well through the perforated blind pipe in the graded broken stone layer. According to the utility model, natural accumulation, natural permeation and natural purification of rainwater are realized, so that the urban inland inundation problem is relieved.

The invention, which belongs to the technical field of atmospheric monitoring, discloses an atmospheric monitoring big data analysis system comprising a demand identification module and a demand analysis module. The demand identification module is used for carrying out real-time demand analysis on the atmospheric monitoring data to obtain a corresponding demand detail list; the demand analysis module is used for carrying out calibration analysis on the demand detail list to obtain application calibration data of a corresponding application demand, supplementing the application calibration data into the demand detail list, and marking the current demand detail list as a demand analysis list; displaying the demand analysis table to a corresponding manager; through mutual cooperation between the demand identification module and the demand analysis module, intelligent analysis of atmospheric monitoring data is realized. The challenges of climate change and continuous change of meteorological monitoring requirements in the urbanization process can be effectively handled; with the continuous evolution of different commercial technologies on atmospheric monitoring data application requirements, the limitation problem of an existing atmospheric monitoring system is broken through.

The invention relates to a sewage treatment water quality prediction method based on an optimized minimum count summary algorithm and a deep learning model, and aims to improve the accuracy of water quality monitoring and reduce the monitoring cost. Along with the acceleration of industrialization and urbanization processes, the problems of water pollution and water resource shortage are more and more serious. In order to improve the utilization efficiency of water resources, sewage recovery and treatment are particularly critical. In the sewage treatment process, water quality monitoring data provides an objective evaluation standard for the treatment process, but due to monitoring period and cost differences of different water quality indexes, a traditional direct measurement method faces great challenges. According to the method, the minimum count summary (Count Min Sketch, CMS) algorithm and the deep learning model are combined, the optimized minimum count summary algorithm is used for extracting frequency domain information, and the frequency domain information serves as features to be input into the long short-term memory network (LSTM)-Attention model, so that the precision of water quality prediction is remarkably improved. The method not only improves the prediction precision of the model, but also is efficient and low in cost.

The embodiment of the invention discloses a method for evaluating the flight safety of birds in an urban space, and relates to the field of urban planning and building design, and the method comprises the steps: investigating and screening birds according to the characteristics of a target city, determining target birds, obtaining evaluation index values according to buildings and human activities, and calculating the flight safety of the birds in the urban space; standardizing by adopting a range method, determining the weight of each evaluation index through a Delphi method, and carrying out weighted summation to obtain an AFSI value; in the ArcGIS platform, the evaluation index values are converted into grid map layers, spatial superposition is carried out according to weights to generate an AFSI distribution map, and a target area which does not meet requirements in the target city is obtained according to the AFSI distribution map; and for a built area in the target area, changeable indexes in the evaluation indexes are improved, and for a planned to-be-built area in the target area, the building height and density are adjusted in combination with the warning distance and the take-off angle of the target birds, and a flight corridor is reserved. The problem that the flying safety of birds is seriously threatened in the urbanization process is solved.

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 discloses a time-varying runoff coefficient calculation method and system reflecting urbanization underlying surface regulation and storage, and steps are as follows: S1, obtaining rainfall data of a city research area, drawing a column chart and a curve chart of a rainfall process, and extracting high-precision digital surface model data by using high spatial resolution satellite stereo image pair data; S2, performing grid processing on the high-precision digital surface model data, constructing a grid type, and performing land utilization division and extraction analysis; S3, calculating hydrological parameters including a basin water content parameter, vegetation interception, a filling and depression parameter and a infiltration parameter; S4, calculating building roof runoff, effective impervious area, non-effective impervious area, pervious area and water area based on the rainfall process, the land utilization division and the hydrological parameters; and S5, calculating a time-varying runoff coefficient. The application can accurately evaluate the availability of rainfall water resources, provide scientific guidance for urban rainwater collection and utilization, and provide a more reliable basis for urban flood forecasting and drainage system design.

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 provides a method for classifying urban land by using heavy truck travel data. The method comprises the steps that a city is divided into equal-area grids in space, the truck inflow, outflow and net inflow of each grid within a certain time are calculated, the freight time sequence of each grid is obtained, network community division is conducted on all the grids according to the similarity between the freight time sequences of all the grids, and the freight time sequences of all the grids are obtained. And analyzing the freight time sequence characteristics of each network community, identifying the urban land use type corresponding to each network community, and obtaining the spatial position distribution characteristics of various types of network communities in the city. The method can provide scientific support for urban freight traffic policies and plans, can reveal space-time laws of different areas in freight activities, can provide scientific basis for the urban freight traffic policies and logistics plans, can reflect freight characteristics of urban land, can dynamically update classification results, and can adapt to urbanization requirements of rapid development.

The present invention proposes a method for automatically identifying urban and suburban areas using an unsupervised machine learning algorithm. This method uses building outline data to automatically calculate building morphological features, obtains key indicators that reflect the degree of urbanization through feature extraction, and automatically identifies the spatial extent of urban and suburban areas using an unsupervised machine learning algorithm. This method can reduce manual intervention, simplify the workflow for demarcating urban and suburban boundaries, and can finely identify the spatial extent of areas with different degrees of urbanization. The method is highly repeatable and efficient, can quickly process large-scale data, and achieve efficient identification of urban and suburban areas. It provides a base map reference and technical support for the construction of a "one map for national land space planning" in the context of national land space planning.

The present invention provides a method and device for analyzing the impact of the urbanization process of an urban circle on the water system pattern. The method comprises selecting an urban circle, determining a comprehensive evaluation index system for the urbanization process for target cities and corresponding research periods, obtaining, for each target city, the urbanization level of each target city in each time period during the research period and the corresponding urban spatial change situation, dividing the city into multiple urbanization levels, extracting urban water system data for each target city, selecting multiple water system spatiotemporal change quantitative indicators and calculating the results of the spatiotemporal change quantitative indicators of each water system, and obtaining the correlation between the urbanization level of each target city in each time period and the spatiotemporal change quantitative indicators of each water system. By determining the comprehensive evaluation index system for the urbanization process and dividing urbanization into multiple stages, the present invention can explore the correlation between the water system and urbanization in a sample with relatively few water system data.

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 belongs to the technical field of power system load prediction, and particularly relates to a regional long-range and recent-mid-term comprehensive load prediction method, which comprises the following specific steps: widely collecting various load-related data including but not limited to historical power load data, economic data, meteorological data and policy documents, and carrying out load prediction for long-range prediction; social data such as macroeconomic development, long-term energy strategy policy information, population growth trend and urbanization process are focused on; for recent-middle-stage prediction, real-time economic fluctuation data tracking, short-term weather forecast and recent industrial policy adjustment details, uncontrollable interference is converted into computable variables through a closed-loop design of uncertainty factor quantification, time-phased model adaptation, data full-life-cycle treatment and dynamic updating iteration, and therefore the accuracy and the reliability of the system are improved. Data defects are made up through technical means, and finally high-precision and anti-interference prediction of long-range and near-and-medium-term loads is achieved.

The invention relates to the technical field of urbanization level evaluation, and particularly discloses an urbanization comprehensive level index optimization method, system and device and a storage medium, and the method comprises the steps: constructing a living standard urbanization index for evaluating the urbanization comprehensive level, determining POI data corresponding to the POI category required for constructing the living standard urbanization index of the target area; according to the social economic data of the target area and the POI data, constructing a living standard index spatial distribution map of the target area; and in combination with the living standard index spatial distribution map, performing normalization processing on the urbanization comprehensive level indexes including the living standard urbanization indexes of the target area to obtain the optimized urbanization comprehensive level indexes of the target area. According to the method, multiple aspects of daily life of residents are covered, construction of an urbanization development index system is perfected, and an important theoretical basis is provided for urbanization level evaluation.

The present invention discloses a method, system, device and medium for impervious surface mapping, which relates to the field of geospatial information technology. The method includes: obtaining a target remote sensing image; extracting gray-level co-occurrence matrix features from the target remote sensing image to obtain first texture features; performing Gabor wavelet transform processing on the target remote sensing image to obtain second texture features; performing Gabor wavelet transform processing on the first texture features to obtain third texture features; determining a three-dimensional texture feature space image according to the first texture features, second texture features and third texture features; classifying the three-dimensional texture feature space image by using a clustering algorithm to obtain the distribution results of pervious surfaces and impervious surfaces; and processing the target remote sensing image according to the distribution results to obtain an impervious surface distribution map. The present invention can realize fast, accurate and automatic extraction of impervious surfaces, which has significant significance for studying the degree of urbanization and its development intensity.

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 invention provides a comprehensive analysis method and system for a long-term coupling relationship between urban development and an urban thermal environment. The method comprises the following steps: S1, acquiring and preprocessing surface temperature data and night light intensity data; s2, based on the preprocessed data, interaction relation analysis of the surface temperature and the night light intensity is carried out, wherein the interaction relation analysis comprises the steps that the long-term change trend of the surface temperature and the night light intensity is calculated; evaluating the correlation between the surface temperature and the dynamic change trend of the noctilucent intensity; calculating the double-variant spatial autocorrelation of the surface temperature and the luminous intensity; an LST-NTL change trend coupling coordination degree model is constructed, and the coordination degree of the thermal environment and the urbanization level is measured; and S3, comprehensively analyzing a result, and revealing a spatial law and an internal mechanism of co-evolution of the surface temperature and the luminous intensity in the urban development process. Theoretical support and scientific basis are provided for urban thermal environment optimization and toughness improvement, and policy making of low-carbon urban construction and climate adaptation type space governance is assisted.

The invention belongs to an expressway in an urbanization area. The invention aims to improve the safety and mobility of road users, reduce energy consumption and environmental pollution and create an enterprise logistics system. The core of the invention is that the forward high-speed lane is located on the left side, the reverse high-speed lane is located on the right side, and the distance between the two lanes can accommodate company buildings. The vehicles are connected through a low-speed one-way traffic lane and can reach a commercial district, a passenger getting-on and getting-off point and a parking lot only at a right-hand curve. In order to ensure safe passage of pedestrians, bicycle riders and light motorcycles, a special passage is arranged on a second plane along the road between the buildings. A passenger tramcar with a loading and unloading area and loading and unloading equipment, a freight tramcar and a passenger traffic infrastructure are arranged below the special passage and on the underground part. And a logistics base is planned at the tail end of the track. And the second plane of the underground part comprises subway trains and infrastructures for passenger transportation. These purposes are achieved by avoiding intersections of traffic aisles and creating a reasonable multi-mode transportation and logistics system.

Solid waste management is a pressing environmental issue due to rapid urbanization and population growth. Researchers are turning to organic farming as a solution to resource depletion. Disposing of sewage sludge can lead to environmental degradation and the spread of diseases. Developing a cost-effective phosphate fertilizer from sewage sludge would benefit water and sewage companies, as well as farmers and agricultural companies. Producing a low-cost phosphate fertilizer from sewage sludge with sonoleaching method, could address environmental pollution and provide economic benefits.

The invention discloses an expressway reconstruction and extension traffic organization scheme digitization method, and relates to the field of expressway reconstruction and extension, and the method comprises the steps: obtaining reconstruction and extension design data and traffic volume information; constructing a traffic organization design object; dividing sections; determining a communication keeping stage; calculating the traffic capacity; based on the obtained traffic capacity of the project road section in the construction period, preliminarily calculating the number of traffic lanes, the width of the traffic lane and the lateral clear width parameters meeting the traffic capacity condition; on the basis of the obtained value ranges of the construction area, the isolation facility, the lateral surplus width, the number of lanes and the width of the lanes in the traffic keeping section of each stage, road section scheme evaluation is carried out, section composition is optimized and combined, and a final overall traffic keeping scheme is obtained. The method breaks through a design-verification-optimization closed loop, has good engineering application prospects and popularization value, and can effectively support efficient, safe and accurate implementation of highway reconstruction and extension projects in complex urbanization areas.

The invention relates to the field of climate monitoring, and discloses a selection method and device of a comprehensive spatial scale reference ground meteorological station, and a medium. The method comprises the following steps of: dividing stations into different urbanization intensity types by comprehensively utilizing a relative proportion of urban land coverage areas from a micro-scale (0-10km) to a mesoscale (10-100km) around the ground stations as an urbanization index, selecting reference ground stations according to a plurality of selection principles, and finally forming a reference ground station observation network of a certain region; according to the method, reference stations can be more accurately selected in a larger space range, so that urbanization influence deviation or background climate research is facilitated.

The present invention discloses a coordinated method for urban drainage and regional flood control design rainstorms, comprising obtaining raw rainfall data from rainfall sites, generating a standardized rainfall dataset through spatiotemporal adaptive anomaly detection processing; wherein the raw rainfall data includes long-duration regional rainfall series data and urban rainfall series data; based on the standardized rainfall dataset, respectively extracting regional and urban rainfall characteristics, and performing scale conversion and unification to obtain a unified scale feature dataset; based on the unified scale feature dataset, respectively constructing marginal distribution functions of regional rainfall and urban rainfall and respectively identifying optimal Copula structures to obtain a time-varying parameter matrix; based on the time-varying parameter matrix, respectively calculating the conditional risk probabilities of regional rainfall and urban rainfall, and obtaining a risk combination vector through a multi-level risk propagation network. The present invention effectively improves the spatiotemporal coordination of design rainstorms and is suitable for the design of flood control and drainage projects under the background of climate change and urbanization.

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.

The invention relates to the field of hydrological monitoring, in particular to a high-precision sensing urban area submerging detection device and method, which can monitor the submerging range, the ponding depth and the ponding duration of an urban area in real time, integrate forecasting of numerical rainfall, urban area waterlogging and the like, and perform all-around and high-precision monitoring and early warning on urban flood. On-site survey of workers in each flood season is avoided, and potential safety hazards of the workers are reduced. According to the system, monitoring data such as the submerging range, the ponding depth and the ponding duration and early warning data are transmitted to the data acquisition module, and the data are transmitted to a remote monitoring center through the data transmission module. The remote monitoring center analyzes and processes the received data, masters the urban inundation range, the ponding depth and the ponding duration in real time, and performs risk analysis on the urban inundation condition by combining a multi-dimensional multi-temporal-spatial-scale water conservancy model and an intelligent analysis model and considering urban landform, landform, soil and vegetation factors and urbanization degree; and the risk pre-judgment efficiency is improved.