Urban inland inundation simulation method and system based on geographic entity

Abstract

The invention provides an urban inland inundation simulation method and system based on a geographic entity. The method comprises the following steps: constructing a library template of geographic entity data related to urban inland inundation simulation; establishing an urban inland inundation simulation database based on the design specification of the database template; collecting data required for processing waterlogging, and performing simulation calculation in combination with a one-dimensional pipe network and a two-dimensional hydrodynamic model; a 3D live-action map is used as a data base, and a user use interface is designed to provide a Web end for urban waterlogging simulation. The 3D live-action map platform is used as a data base support, a simulation system which is more appropriate in scene simulation, more accurate in data analysis and more scientific in emergency decision support is constructed based on the urban inland inundation geographic entity, and geographic entity semantization is provided for scene simulation so as to facilitate management of entities such as buildings, roads and pipelines in a city. In the aspect of waterlogging safety emergency rescue, a plurality of sub-tracks outside a rainfall main track are supported to compare effects of different emergency measure schemes in parallel, and more accurate decision support is provided for safety emergency.

Description

Technical Field

[0001] The invention relates to the technical field of digital simulation, and in particular to a method and system for simulating urban waterlogging based on geographical entities. Background Art

[0002] Foreign urban waterlogging simulation software and platforms have become relatively mature for urban drainage, river flow analysis, and flood warning. Although urban waterlogging simulation has made some progress in technology development and application.

[0003] Chinese patent application CN115688494A discloses a data processing method, device, electronic device and computer-readable storage medium, which determines multi-level index information in a storage database; locates the target data file of the target simulation data according to the multi-level index information and the target data of the target simulation data; and processes the target simulation data based on the target data file. By creating index information of multiple layers of different directories in the storage database, a large amount of simulation data generated in the urban waterlogging simulation early warning system can be processed separately to locate the data file corresponding to each simulation data for storage, and based on the located data file, the simulation data can be stored, retrieved, backed up, migrated and other processes accordingly. However, this method is mainly aimed at data storage and data processing.

[0004] Chinese patent application CN112231913A discloses a method and device for simulating waterlogging in urban waterlogging black spots, which obtains net rainfall based on the difference between the acquired rainfall and the naturally consumed rainfall; the net rainfall is input into a waterlogging simulation model, so that the waterlogging simulation model outputs a waterlogging simulation value of the waterlogging black spot, and determines the waterlogging simulation result of the waterlogging black spot based on the waterlogging simulation value. The scheme mainly establishes a corresponding relationship between net rainfall and waterlogging, and then implements waterlogging simulation.

[0005] Most of the existing urban waterlogging simulations are based on simulation software imported from abroad, and lack an applicable urban waterlogging simulation system based on domestic geographical environment, climate, urban drainage system, flood prevention and disaster reduction system, etc. The multiple data types, large differences in data quality, and complex dependencies in urban waterlogging simulation systems also lead to intellectual and maintenance difficulties in data management and interaction. Summary of the invention

[0006] Aiming at the urban waterlogging disaster phenomenon caused by heavy and continuous precipitation in the city exceeding the urban drainage capacity, the present invention proposes a method and system for simulating urban waterlogging based on geographical entities.

[0007] The present invention provides a method for simulating urban waterlogging based on geographical entities, the method comprising:

[0008] S1, building a library template for geographic entity data related to urban waterlogging simulation;

[0009] S2, establish an urban waterlogging simulation database based on the design specifications of the library template;

[0010] S3, collect the data needed to deal with waterlogging, and perform simulation calculations in combination with the one-dimensional pipe network and two-dimensional hydrodynamic model;

[0011] S4, using 3D real-life map as data base, designs a user interface to provide a Web-based interface for urban waterlogging simulation.

[0012] Optionally, the library template construction content includes basic information of entity data, spatial specification information and attribute field information.

[0013] Optionally, step S1 constructs a library template of geographic entity data related to urban waterlogging simulation, including:

[0014] S1-1, establish a library template for the overall data, create entity classification and different sub-classification layers;

[0015] S1-2, configure different data structures according to different subclasses, set basic configuration information and spatial forms, such as attribute table name, attribute item name, field type and entity form, etc.;

[0016] S1-3, set the value range of the data, the relationship and direction between the value range related description and the entities.

[0017] Optionally, step S2 includes: standardizing the organization and storage of data based on the characteristics of data management security, standardization and data storage standardization, and classifying the data required for the urban waterlogging simulation process;

[0018] Supplement information based on the library template and actual application scenarios, and build a knowledge graph and entity relationships;

[0019] Set geographic entity nodes and establish relationships between different entity nodes, group geographic entity relationships, and create geographic entity groups.

[0020] Optionally, the relationship table is required to be imported in .csv format, and the table contains the table name, unique identification code and relationship code in the relationship master entity library template; the table name and unique identification code of the relationship entity.

[0021] Optionally, step S3 includes:

[0022] Divide the sub-catchment area, set the pipe network component object, and solve the Saint-Venant equation of the one-dimensional pipe network; wherein the pipe network component object includes one or more of a rain gauge, a pipe channel, a confluence node, and a discharge outlet;

[0023] Set the initial water depth and resistance function, and solve the two-dimensional hydrodynamics and shallow water equations;

[0024] The two-dimensional shallow water equation and Saint-Venant equation are coupled to calculate the confluence of surface water and drainage network.

[0025] The present invention also provides a geographical entity-based urban waterlogging simulation system for implementing any of the above methods.

[0026] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store program codes, and the program codes are used to execute any of the above-mentioned methods.

[0027] The present invention further provides a computing device, characterized in that the computing device comprises a processor and a memory:

[0028] The memory is used to store program code and transmit the program code to the processor;

[0029] The processor is configured to execute any of the above methods according to instructions in the program code.

[0030] The present invention uses a 3D real-scene map platform as a data base support and constructs a simulation system based on urban waterlogging geographical entities, which has more appropriate scene simulation, more accurate data analysis and more scientific emergency decision support.

[0031] The system proposes semanticization of geographic entities for scenario simulation in order to facilitate the management of entities such as buildings, roads and pipelines within the city. Database templates for buildings, rivers and pipelines are constructed based on the system data requirements. Based on the database templates, the data required by the system is obtained and processed to establish a geographic entity database required for urban waterlogging simulation. Different data panels are designed, including building water level estimation, terrain interception pipeline flow detection and important service building safety warning. Furthermore, in terms of waterlogging safety emergency rescue, it supports parallel comparison of the effects of different emergency measures on multiple tracks outside the main rainfall track, providing more accurate decision support for safety emergencies.

[0032] The present invention solves the problems of incomplete data quality and inconvenient data management in the current urban waterlogging simulation system, focuses on the specific information of damaged buildings caused by waterlogging, and enhances the feasibility of emergency measures.

[0033] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1 is a schematic diagram of a flow chart of a method for simulating urban waterlogging based on geographic entities according to an embodiment of the present invention;

[0036] Figure 2a , Figure 2b They are respectively a color and grayscale schematic diagram of a study area of ​​an embodiment of the present invention;

[0037] Figure 3a , Figure 3b is a color and grayscale schematic diagram of the sub-catchment division result of the study area in an embodiment of the present invention;

[0038] Figure 4 is a schematic diagram of the contents of a rain gauge file in a study area according to an embodiment of the present invention;

[0039] Figure 5 is a schematic diagram of a triangular mesh for solving two-dimensional shallow water equations according to an embodiment of the present invention;

[0040] Figure 6a , Figure 6b is a color and grayscale schematic diagram of a local result of a two-dimensional calculation according to an embodiment of the present invention;

[0041] Figure 7 is a schematic diagram of a simulation process of an embodiment of the present invention;

[0042] Figure 8 is a schematic diagram of a geographical entity-based urban waterlogging simulation system according to an embodiment of the present invention; DETAILED DESCRIPTION

[0043] The embodiments of the present invention are described below in conjunction with the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the present invention and are not limiting.

[0044] In order to solve the problems of uneven data quality, diverse data types, and complex data relationships that are difficult to manage during urban waterlogging simulation, the present invention proposes a method and system for urban waterlogging simulation based on geographic entities. The present invention mainly analyzes system requirements based on historical waterlogging event analysis and market research, designs the overall system architecture, collects and processes relevant data, optimizes the simulation technology model, and finally performs urban waterlogging simulation results and applications on the Web.

[0045] Figure 1 FIG. 1 is a flow chart of a method for simulating urban waterlogging based on geographic entities according to an embodiment of the present invention. Figure 1 As shown, the urban waterlogging simulation method based on geographic entities according to an embodiment of the present invention includes:

[0046] S1, construct a library template for geographic entity data related to urban waterlogging simulation; the purpose of constructing a library template for data is to standardize the structure of data and the standard for entering the library, so as to facilitate the management of the database. The construction of the library template mainly includes the configuration of basic information, style, field, value range, and relationship of the data structure.

[0047] S2, establish an urban waterlogging simulation database based on the design specifications of the library template; this step is to manage and maintain all geographic entity data, and establish a database based on the library template of the data. Collect and process relevant data according to the needs of the urban waterlogging simulation system, including urban terrain elevation data, river network data, and pipeline data.

[0048] S3, collect the data needed to deal with waterlogging, and perform simulation calculations in combination with the one-dimensional pipe network and two-dimensional hydrodynamic model;

[0049] S4, using 3D real-life map as data base, designs a user interface to provide a Web-based interface for urban waterlogging simulation.

[0050] The embodiment of the present invention constructs a geographic entity library template related to urban waterlogging simulation based on basic geographic entities such as urban internal buildings, roads and pipelines, and collects and processes data according to the template to establish an urban waterlogging simulation database. A one-dimensional global pipe network hydrodynamic model and a two-dimensional shallow water equation are used in parallel to perform a large-scale time series for urban waterlogging simulation. Each step is explained in detail below.

[0051] Step S1, constructing a library template of geographic entity data related to urban waterlogging simulation. The library template construction content includes basic information of entity data, spatial specification information and attribute field information, such as the longitude and latitude of buildings, building height and floor area, etc. The specific steps include:

[0052] S1-1, establish a library template for the overall data, create entity classification and different sub-classification layers. According to actual needs, urban flooding needs to be divided into buildings, roads, rivers and pipe networks.

[0053] S1-2, configure different data structures according to different subclasses, set basic configuration information and spatial forms, such as attribute table name, attribute item name, field type and entity form, etc.

[0054] S1-3, set the value range of the data, the relationship and direction between the value range related description and the entities.

[0055] Taking rivers as an example, configure the attribute table fields of rivers, including attribute item name, attribute alias, field type, constraints, length and value range. The main fields of river attribute items include Name river name, lon longitude, lat latitude, atti height, KJSFBM spatial identity code and ENTI_UUID unique identifier; and add non-essential fields code classification code, fclass classification name, Shape_Length river length and Shape_Area river area. Set different field types, lengths and constraints according to different attribute items. Taking the attribute item name Name as an example, the field alias is river name, the field type is text, the constraint is required, and the length is set to 80.

[0056] Step S2, establishing an urban waterlogging simulation database based on the design specifications of the library template.

[0057] In step S2, based on the characteristics of data management security, standardization and data storage standardization, the data required for the urban waterlogging simulation process is standardized and organized and stored, and the data required for the urban waterlogging simulation process is classified. Based on the library template and actual application scenarios in step S1, information can be supplemented according to needs, and knowledge graphs and entity relationships are constructed. When managing the database, geographic entity nodes are set and relationships between different entity nodes are established. Entity relationships are grouped and geographic entity groups are created to facilitate the management of entity data types.

[0058] Among them, the geographic entity relationship table is required to be imported in .csv format, and the table contains the table name, unique identification code and relationship code in the relationship main entity library template; the table name and unique identification code of the relationship entity.

[0059] After collecting and processing relevant urban information data, based on the needs of urban waterlogging multi-layer management and presentation, the one-dimensional global pipe network hydrodynamic model and the two-dimensional shallow water equation solving function are used to couple the one-dimensional model and the two-dimensional model, and solve the large-scale spatial and long-term series in parallel to perform 3D real-life simulation of urban waterlogging.

[0060] Step S3, collect the data required for waterlogging treatment, and perform simulation calculations in combination with the one-dimensional pipe network and the two-dimensional hydrodynamic model.

[0061] In step S3, it is necessary to divide the sub-catchment area, set common pipe network component objects such as rain gauges, pipes, confluence nodes, and discharge outlets, and solve and calculate the Saint-Venant equation of the one-dimensional pipe network; set the initial water depth and resistance function, and solve and calculate the two-dimensional hydrodynamics and shallow water equations; use the two-dimensional shallow water equation and the Saint-Venant equation to couple and calculate the surface and drainage network water flow confluence.

[0062] Take a local area in a certain district as an example. Figure 2a to Figure 2b As shown, the study area is framed ( Figure 2aAfter extracting the high-precision terrain data (0.5m resolution) and underground pipe network data ( Figure 2a The yellow dots and light green solid lines in the figure correspond to the pipe points and pipe lines, respectively), as well as the building outline data ( Figure 2a (middle lavender part).

[0063] Taking some pipe points in the pipe network (such as rainwater grates, rainwater wells, sewage grates, sewage wells and other open pipe openings) as confluence nodes, the Voronoi algorithm is used to divide the study area into sub-catchment areas. The division results are shown in the figure. Figure 3a-3b shown.

[0064] For each subcatchment, a corresponding rain gauge file needs to be specified to distinguish the rainfall in different subcatchments. In this example, it is assumed that the rainfall in all subcatchments is the same. The contents of the rain gauge file are as follows: Figure 4 As shown, the last column represents the rainfall intensity (unit: mm / h).

[0065] After setting the sub-catchment area, the runoff is first calculated through the flow generation model to obtain the water collection volume of each sub-catchment area and import it into the pipe network. The distribution of overflow pipe points is obtained by solving the one-dimensional Saint-Venant equation of the pipe network.

[0066] Combined with the study area and building outline, a triangular mesh can be automatically generated for solving two-dimensional shallow water equations, such as Figure 5 Note that the built-up area does not participate in the 2D shallow water equation calculation and is therefore removed.

[0067] In the numerical calculation of the two-dimensional shallow water equation, information on physical quantities such as ground surface height, water depth, water flow velocity, and surface resistance is stored at the centroid position of the triangular cell. After the triangular mesh is divided, the mesh needs to be initialized, such as setting the ground surface height, initial water depth, surface resistance, etc., followed by setting boundary conditions and source terms. The pipe point overflow in the pipe network calculation results is used as the source term in the two-dimensional shallow water equation. Map all overflow pipe openings as inlets in the two-dimensional shallow water equation and assign corresponding flow rates. This step realizes the coupling of one-dimensional and two-dimensional calculations. After setting, the two-dimensional shallow water equation can be solved. The local results of the two-dimensional calculation are as follows: Figure 6a to Figure 6b As shown, the light purple area is the building area, the blue lines represent the flow lines of water, the blue ribbons represent accumulated water, and the darker the blue, the higher the depth of the accumulated water.

[0068] The library template and attribute-related information of the data in step S1 and step S2 need to be adjusted according to the data format requirements in the simulation process of step S3.

[0069] ① The building is imported in *.shp format, including the building outline curve and building height information;

[0070] ② Import terrain elevation in *.tif, *.asc format, remove buildings (building data must be provided separately), vegetation, bridges, electric poles, vehicles, etc.; remove water bodies such as rivers and lakes but include the terrain under these water bodies;

[0071] ③ The pipe network data is imported in *.inp, *.shp format, providing pipe type, pipe section geometry, pipe length, pipe slope, offset height of the connection between the two ends of the pipe and the pipe well (i.e. the height of the center of the pipe section from the bottom elevation of the pipe well), the bottom elevation of the pipe well, the ground elevation of the pipe well, the height of the pipe well neck, and the shape parameters of the pipe well mouth;

[0072] ④ Rain gauge data is imported in *.DAT format, including the location of the rain gauge station and the accumulated rainfall every x minutes (fixed duration); the simulation results are exported in Excel or txt text format;

[0073] ⑤ The river network data is in a custom format, including the center position curve of the river surface, cross-section curve, and river water level data of each river section;

[0074] ⑥Export trace files in *.trc format to facilitate the visualization of third-party waterlogging traces.

[0075] Step S4, using the 3D real-life map as the data base, design a user interface to provide a Web terminal for urban waterlogging simulation. Obtain real-life three-dimensional data (TIF / DEM / SHP) as simulation input through the interface; obtain the solution requirements, i.e., waterlogging precipitation settings, through the designed waterlogging simulation system user simulation setting interactive function; according to the simulation model calculation of the one-dimensional pipe network and the two-dimensional hydrodynamic model in step 3, convert the calculation results into elevation TIF data, and send them to the Web front end through the interface for result rendering, so as to realize the overall waterlogging simulation through Unicom.

[0076] The first phase of the requirements for the server to provide an interface for the web rendering effect of urban flood simulation, combined with Figure 7 , the following are the initial effect interface requirements for simulation software, entity library and web rendering.

[0077] ① The Web front end sends a request to the server for waterlogging simulation metadata information. The service name generated by the server is the request parameter name serviceName, which is a string type. The server returns the simulation result metadata information:

[0078] ②The Web front end sends a request for the terrain height map to the server. The request parameters include serviceName; width and height, which respectively represent the maximum width and height of the terrain in the simulation result metadata and the optimal value that needs to be calculated.

[0079] The interface returns the terrain height PNG of RGB3 channels within the simulation range, and the resolution is the size passed in the request parameter. The terrain height is superimposed on the building area height at the original resolution. After superimposing the building, if the height exceeds the value of extension.maxHeight in the metadata, it is set to extension.maxHeight+1. The resulting height map is obtained after resampling according to the requested resolution. The pixels in the map use RGB channels to store the terrain height value, and the height is converted to the color value of the pixel. The conversion formula is:

[0080] elevation=({G}*255+{B})*(extension.maxHeight-extension.minHeight) / (255*255+255)+extension.minHeight

[0081] In the formula, the R channel value is 0. Where there is no terrain, the RGB values ​​are all 0.

[0082] ③The Web front end requests the water surface height map from the server. The request parameters include serviceName; width and height; time, which represents an item in the waters field data in the metadata, indicating that the water surface height map at that moment is requested.

[0083] The interface returns a height map that only contains the water surface in the simulation range at the time of the request. The height value is the absolute height of the water surface depth. The height of the area without water surface is 0. Figure 1 The format is RGB3 channel png, the range is the range returned in the metadata information, the resolution is the parameter size passed in when requesting, the value is the height map obtained after the original water surface area is resampled according to the requested resolution, and the height is converted to the color value of the pixel, which is the same as the terrain height map formula.

[0084] ④The Web front end requests the water flow direction and velocity map from the server, and the request parameters include serviceName, width, height, and time. The interface returns a flow direction and velocity map of the water surface at the requested time. The image format is also a PNG with RGB3 channels. The range is the range returned in the metadata information, and the resolution is the parameter size passed in when requesting. Each pixel represents the flow velocity and direction within the range represented by the pixel. The flow velocity can be distinguished by level, which is represented by the R channel. The flow direction is a normalized two-dimensional vector (x, y), the G channel is represented by x*255, and the B channel is represented by y*255. Where there is no water flow, the three channels of the pixel are all 0.

[0085] The web terminal uses simulation results as the main screen, and designs different functions and data panels, including waterlogging simulation tracks, building water level estimation, terrain interception pipeline flow detection, and important service building safety warnings. For example, depending on the waterlogging situation in the city, buildings appear in different colors, with red, orange, and yellow representing different levels of flooding, and red for severely flooded areas. The design of the time track supports the setting of rainfall, time unit intervals, and other functions during the overflow process caused by the accumulation of precipitation and the rise of river water levels.

[0086] The embodiment of the present invention also provides a system for simulating urban flooding based on geographical entities, such as Figure 8 As shown, the geographic entity-based urban waterlogging simulation system of this embodiment specifically includes a system requirement analysis module, a system development module, a user interface design module, and a system integration and testing module.

[0087] Among them, the system requirements analysis is to ensure that the development team can clearly understand the system development goals and lay the foundation for the subsequent design and implementation stages. The system requirements analysis module includes system function analysis, system performance requirements and system information data analysis. The system development module includes system architecture design unit, simulation model development unit, model integration unit, model calibration verification unit, and software tool development unit. In order to ensure the scalability, maintainability and performance of the system, the system architecture design is carried out considering that the urban waterlogging simulation meets the system function requirements. The model development in the urban waterlogging simulation system is mainly divided into precipitation simulation model solution, urban waterlogging scene rendering and system interface development. The model integration unit integrates the simulation model required by the developed system and the system interface designed according to the requirements. The system is tested according to the functions of the system architecture design, and the accuracy of the precipitation simulation model is verified based on the known urban waterlogging precipitation data.

[0088] In general, the urban waterlogging simulation system based on geographic entities uses a one-dimensional global pipe network hydrodynamic model and a two-dimensional shallow water equation to simulate the flow of water and pollutants in the urban drainage system and the flow of natural water bodies such as rivers, lakes, and oceans, as well as surface water such as urban waterlogging, based on the input of urban topography, drainage, and precipitation data. The depth of waterlogging and the affected areas in the city are predicted based on the timeline, and the impact of waterlogging on urban infrastructure and various areas in the city is evaluated. The results such as waterlogging distribution and water flow velocity are displayed using 3D real-life maps. The effects of different drainage planning schemes or flood control measures are compared based on the damaged areas and waterlogging conditions of urban waterlogging disasters, so that emergency rescue plans can be determined in a timely manner when urban waterlogging occurs.

[0089] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store program codes, and the program codes are used to execute the urban waterlogging simulation method based on geographical entities of the above embodiment.

[0090] An embodiment of the present invention also provides a computing device, which includes a processor and a memory: the memory is used to store program code and transmit the program code to the processor; the processor is used to execute the urban waterlogging simulation method based on geographic entities of the above embodiment according to the instructions in the program code.

[0091] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for simulating urban flooding based on geographical entities, characterized in that: The method comprises: S1, building a library template for geographic entity data related to urban waterlogging simulation; S2, establish an urban waterlogging simulation database based on the design specifications of the library template; S3, collect the data needed to deal with waterlogging, and perform simulation calculations in combination with the one-dimensional pipe network and two-dimensional hydrodynamic model; S4, using 3D real-life map as data base, designs a user interface to provide a Web-based interface for urban waterlogging simulation.

2. The method according to claim 1, characterized in that The library template construction content includes basic information of entity data, spatial specification information and attribute field information.

3. The method according to claim 2, characterized in that Step S1 constructs a library template of geographic entity data related to urban waterlogging simulation, including: S1-1, establish a library template for the overall data, create entity classification and different sub-classification layers; S1-2, configure different data structures according to different subclasses, set basic configuration information and spatial forms, such as attribute table name, attribute item name, field type and entity form, etc.; S1-3, set the value range of the data, the relationship and direction between the value range related description and the entities.

4. The method according to claim 2, characterized in that: Step S2 includes: Based on the characteristics of data management security, standardization and data storage standardization, the data is organized and stored in a standardized manner, and the data required for the urban waterlogging simulation process is classified; Supplement information based on the library template and actual application scenarios, and build a knowledge graph and entity relationships; Set geographic entity nodes and establish relationships between different entity nodes, group entity relationships, and create geographic entity groups.

5. The method according to claim 4, characterized in that The geographic entity relationship table is required to be imported in .csv format. The table contains the table name, unique identification code and relationship code in the relationship master entity library template; the table name and unique identification code of the relationship entity.

6. The method according to any one of claims 1 to 5, characterized in that Step S3 includes: Divide the sub-catchment area, set the pipe network component object, and solve the Saint-Venant equation of the one-dimensional pipe network; wherein the pipe network component object includes one or more of a rain gauge, a pipe channel, a confluence node, and a discharge outlet; Set the initial water depth and resistance function, and solve the two-dimensional hydrodynamics and shallow water equations; The two-dimensional shallow water equation and Saint-Venant equation are coupled to calculate the confluence of surface water and drainage network.

7. A geographical entity-based urban flooding simulation system for implementing the method described in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program codes, and the program codes are used to execute the method according to any one of claims 1 to 6.

9. A computing device, characterized in that The computing device comprises a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the method according to any one of claims 1 to 6 according to the instructions in the program code.

Images