Urban planning method, device, storage medium and system

Abstract

The invention is suitable for the technical field of urban planning management, and provides an urban planning method, device, storage medium and system, and the method comprises the steps: obtaining the topographic data and drainage capability data of a target region; constructing a ponding depth dynamic evaluation model of the target area based on the topographic data and the drainage capacity data; inputting a preset simulated rainfall scene into the model to obtain the change trend information of the ponding depth of the target area along with time; and obtaining a flood control grade requirement, and optimizing the flood control parameters of the to-be-detected building in the target area according to the change trend information until the flood control level of the to-be-detected building reaches the preset flood control grade requirement. The method has the advantages that the model can directly output a water depth and time corresponding curve, abstract flood control grades can be converted into quantifiable control indexes, then data such as the lowest entrance and exit elevation, the water baffle height and the lowest point elevation under different rainfall are obtained, and the method is more accurate and reliable.

Description

Technical Field

[0001] This invention belongs to the field of urban planning and management technology, and in particular relates to an urban planning method, device, storage medium and system. Background Technology

[0002] Urban flooding caused by torrential rains has gradually become one of the key factors restricting urban safety and operational continuity. With the acceleration of urbanization, the area of ​​paved surfaces in cities is constantly expanding, the proportion of impermeable areas on the underlying surface is increasing, the natural infiltration capacity is decreasing, and extreme rainfall is concentrated and converged in a short period of time, leading to increasingly prominent problems such as short-term water accumulation, drainage system overload, and rapid water intrusion into underground spaces.

[0003] Traditional urban planning typically treats rainstorm flooding as a local constraint of water supply and drainage, rather than as a dominant indicator affecting the overall spatial structure, safe evacuation system, and resilience of public infrastructure. This results in a lag in the overall planning stage regarding rainstorm flooding and a lack of foresight.

[0004] Therefore, there is a need for a flood control and disaster reduction technology solution that can be used in urban planning, so that the target buildings constructed in the target area have quantifiable flood control capabilities from the initial planning stage. Summary of the Invention

[0005] The purpose of this application is to provide an urban planning method that addresses the problems of insufficient consideration of rainstorm and flood risk and poor adaptability of existing urban planning methods.

[0006] This application provides an urban planning method, which includes: Acquire terrain data and drainage capacity data for the target area; Based on the terrain data and drainage capacity data, a dynamic assessment model of water accumulation depth in the target area is constructed; a preset simulated rainfall scenario is input into the model to obtain information on the trend of water accumulation depth in the target area over time. Obtain the flood control level requirements, and optimize the flood control parameters of the buildings to be tested in the target area based on the changing trend information until the flood control level of the buildings to be tested reaches the preset flood control level requirements.

[0007] Another objective of this application is to provide an urban planning device, the urban planning device comprising: The basic data acquisition unit is used to acquire terrain data and drainage capacity data of the target area; The trend acquisition unit is used to construct a dynamic evaluation model of water depth in the target area based on the terrain data and drainage capacity data; input a preset simulated rainfall scenario into the model to obtain the trend information of water depth in the target area over time; The compliance judgment unit is used to obtain the flood control level requirements and optimize the flood control parameters of the building to be tested in the target area based on the change trend information until the flood control level of the building to be tested reaches the preset flood control level requirements.

[0008] Another objective of this application is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of an urban planning method as described above.

[0009] Another objective of this application is to provide an urban planning system, the system including a memory and a processor, the memory storing a computer program, which, when executed by the processor, causes the processor to perform the steps of an urban planning method as described above.

[0010] The urban planning method provided in this application has the significant advantage of directly outputting water depth versus time curves. This transforms abstract flood control levels into quantifiable control indicators, thereby obtaining data such as minimum inlet / outlet elevations, flood barrier heights, and lowest point elevations under different rainfall levels, making the data more accurate and reliable. Simultaneously, it can make high-risk, low-lying areas explicit during the urban building planning control phase, serving as a basis for the avoidance and reinforcement of public facilities and emergency access routes. Furthermore, it can delineate flood storage and mitigation spaces and controllable overflow paths, directly serving the decision-making of urban planning and design departments and significantly improving the safety of urban flood control design. Attached Figure Description

[0011] Figure 1 An application environment diagram of the urban planning method provided in the embodiments of this application; Figure 2 A flowchart illustrating the steps of the urban planning method provided in this application embodiment; Figure 3 Structural block diagram of the urban planning device provided in the embodiments of this application; Figure 4 This is a block diagram of the internal structure of a computer device in one embodiment. Detailed Implementation

[0012] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0013] It is understood that the terms "first," "second," etc., used in this application may be used herein to describe various elements, but unless otherwise stated, these elements are not limited by these terms. These terms are used only to distinguish the first unit or module from another unit or module. For example, without departing from the scope of this application, the first script may be referred to as the second script, and similarly, the second script may be referred to as the first script.

[0014] Figure 1 An application environment diagram for the urban planning method provided in the embodiments of this application, such as... Figure 1 As shown, this application environment includes a terminal 110 and a computer device 120.

[0015] Computer device 120 can be a standalone physical server or terminal, or a server cluster consisting of multiple physical servers. It can be a cloud server that provides basic cloud computing services such as cloud servers, cloud databases, cloud storage, and CDN. Examples include tablet computers, laptops, and desktop computers.

[0016] Terminal 110 can be any type of data acquisition device, which can be used to input parameters such as the boundary of the planning area and the return period of rainfall, but is not limited thereto. Terminal 110 and computer device 120 can be connected via a network, which is not limited herein.

[0017] like Figure 2 As shown, in one embodiment, an urban planning method is proposed. This embodiment mainly applies this method to the above-mentioned... Figure 1 Let's take computer equipment 120 as an example. A city planning method may specifically include the following steps: Step S10: Obtain terrain data and drainage capacity data of the target area, wherein the drainage capacity data is a function of the drainage rate of the target area over time.

[0018] In this embodiment, the application models the amount of water the target area can hold, how the surface water level determined by the terrain changes with the amount of water, and how much water the target area can drain at different times separately, in order to reduce the complexity of data processing and facilitate the system to perform automatic simulation estimation.

[0019] In this embodiment, the terrain data uses a digital elevation model (DEM), which can be directly read from digital atlases or online databases of various regions. This model then yields the reservoir capacity-water level relationship for the target area. Based on different geographic block types, the region can be divided into multiple grids, typically contour catchment units. For example, a concrete block in a plaza can be divided into a grid of blocks.

[0020] In this embodiment, the drainage capacity data can refer to the drainage rate as a function of time. This data comprehensively characterizes infiltration capacity, storm drain flow, and pipe network flow. In engineering, this data can be obtained through various methods, such as historical / SCADA measurement inversion, offline calculations based on pipe network and infiltration mechanism models under given river water levels and pump station operating conditions, or by using the conservative envelope specified in the standards. This application presents an estimation method based on numerical simulation.

[0021] Step S20: Construct a dynamic evaluation model of water depth in the target area based on the terrain data and drainage capacity data; input the preset simulated rainfall scenario into the model to obtain the trend information of water depth in the target area over time.

[0022] The core principle of this implementation is the conservation of mass, namely: ; in, The input is the time history of rainfall intensity. The effective catchment area of ​​the target region. The reservoir capacity-water level curve is obtained from the topography. This represents the output water depth.

[0023] In this application, the target area is treated as a single equivalent reservoir, and the reservoir capacity is directly obtained by integrating the DEM, resulting in extremely fast calculations suitable for rapid prediction and parameter optimization. Furthermore, a gridded reservoir array is used to subdivide the area into several cells, each using... and Then, surface runoff calculations are incorporated to reflect water exchange between high and low zones, thereby simulating the water depth in the target area under a preset rainfall scenario. It is understandable that different building types or land surfaces have their corresponding equivalent deep water or water accumulation models, which will not be elaborated upon here.

[0024] In this embodiment, rainfall scenarios are selected according to different design requirements, and... By directly substituting into the above equation and performing numerical integration using explicit Euler or fourth-order Runge-Kutta methods, the trend of water depth in the target area over time can be output. Based on this, key indicators such as peak water depth are obtained. The duration of exceeding the threshold, the time of decline, and the peak time, etc., are all factors considered. This is because the drainage capacity has already been... Since the event is represented as a time function, this step does not require solving complex coupled equations. The preset simulated rainfall scenario can refer to preset rainfall intensities, durations, etc.

[0025] Step S30: Obtain flood control level requirements, and optimize the flood control parameters of the buildings to be tested in the target area based on the changing trend information until the flood control level of the buildings to be tested reaches the preset flood control level requirements.

[0026] In this embodiment, flood control requirements can be converted into constraints, such as the water depth at the building boundary not exceeding a depth threshold. Different flood control levels correspond to different rainfall amounts and durations. Adjustable sets of design variables can be selected specifically, such as the minimum height of the flood control barrier and the emergency pumping capacity curve. Whether or not the standard is met can be used as a feasibility criterion. For single variables such as threshold elevation, methods such as monotonic search or numerical optimization can be used for evaluation. The design variables are then updated until the preset flood control level requirements are met.

[0027] In this embodiment, the model used in this method can directly output the water depth versus time curve, transforming the abstract flood control level into quantifiable control indicators. This allows for the acquisition of data such as the minimum inlet / outlet elevation, flood barrier height, and lowest point elevation under different rainfall levels, making the data more accurate and reliable. Simultaneously, it can make high-risk, low-lying areas explicit during the urban building planning control phase, serving as a basis for the avoidance and reinforcement of public facilities and emergency access facilities. Furthermore, it can delineate flood storage and mitigation spaces and controllable overflow paths, directly serving the decision-making of urban planning and design departments and significantly improving the safety of urban flood control design.

[0028] In a preferred embodiment, the method for obtaining drainage capacity data of the target area is as follows: A digital surface model of the target area is constructed based on terrain data, and the digital surface model is divided into several grid plots; all grid plots included in the target area are obtained and denoted as target grid blocks; based on the surface cover type and underlying surface type of each target grid block, the average infiltration rate and maximum retention volume of each target grid block are obtained; based on the average infiltration rate and maximum retention volume of each target grid block, the regional infiltration rate and regional retention volume of the target area are obtained; the maximum discharge flow rate of each drainage outlet in the target area is obtained, and the maximum pipeline discharge flow rate of the target area is obtained; based on the regional infiltration rate and the maximum pipeline discharge flow rate, the drainage capacity data of the target area is obtained.

[0029] In this embodiment, a continuous elevation surface can first be generated using a DEM tool and then rasterized. After rasterization, each raster is a minimum hydrological unit, facilitating subsequent grid-by-grid assignment and regional aggregation of infiltration, retention, and outflow. The rasterized terrain is clipped using the target region boundary to obtain a set of grids that completely fall within the region, and the area of ​​intersecting grids is calculated. For each target grid block, the land cover type and soil group type are obtained by looking up a table or automatically retrieving them from the database using the model, and the average infiltration rate and maximum retention volume of each target grid block are obtained. The grid-by-grid parameters are aggregated into regional infiltration rate and regional retention volume. Then, the number of drainage outlets and the actual maximum discharge flow rate within the target region are obtained, and the maximum pipeline discharge flow rate of the region is obtained. In some cases, the inlet structure of the sewer pipe and the maximum flow rate of the downstream pipeline network may be bottlenecks for each other; using the smaller of the two for calculation is more accurate. In this embodiment, the regional infiltration rate can be... Regional storage capacity Maximum pipeline discharge flow rate The three elements are organized into a data package that is readable by the model, which is the most important representation of drainage capacity data. Based on this data, comprehensive drainage capacity data can be obtained.

[0030] In a preferred embodiment, the method for obtaining the average infiltration rate and maximum water retention volume of each target grid block based on the land cover type and underlying surface type of each target grid block is as follows: Get the coverage type for each grid. Underlay type And whether it is waterproof. ; Obtain the average permeability of the target grid block: ; ; Get the maximum storage volume of the target grid block: .

[0031] In this embodiment, k is the grid index, representing the _th ... One target grid block. For the first The type of land cover is used to look up tables or determine infiltration and retention parameters. For the first Type of underlayment. For the first The permeability of a grid is indicated by a value of 1 for permeable and 0 for impermeable. The infiltration rate can be set to... When summing, only apply to The grid is used to calculate infiltration. For the first At the time infiltration rate ; For the first Initial infiltration rate. It is related to surface cover and soil dryness. For the first Stable infiltration rate. For the first Infiltration attenuation coefficient. The time is counted from the start of rainfall. For the first Grid within the specified time window Average infiltration rate within: ; To calculate the average time window, It is a natural constant. Indicates the first Maximum storage capacity: ; For the first Grid area, For the first Equivalent storage depth / depression storage depth.

[0032] In a preferred embodiment, the method for obtaining the maximum pipe discharge flow rate in the target area is as follows: Get the Each drainage outlet is designed to have an effective water depth. The upper limit of the structure for water passage: ; In the above formula , For the width of the weir and the area of ​​the orifice, and The relative elevations of the weir crest and the bottom of the borehole; For coefficients; Obtain the pipeline network The section is reduced at full flow and downstream. The following abilities: ; To obtain the maximum pipe discharge flow rate: .

[0033] In the embodiments of this application, Number the drain outlets. This refers to the number of the pipeline section. The effective water depth is designed. When assessing the inlet's water passage capacity, the reference free water depth can be taken as the representative water depth under the design conditions or the unsubmerged free water depth. It is the acceleration due to gravity. For the first One rainwater inlet The upper limit of water passage under the structure. The corresponding value is obtained from the weir control or orifice control formula. For the first Manning roughness coefficient of the pipeline section. For the first The cross-sectional area of ​​the section under full flow conditions. For the first The hydraulic radius of the section under full flow conditions. For the first The energy line gradient of the section. Under the approximation of uniform steady flow, it can be taken as the slope of the pipe bottom. For the first The theoretical maximum flow rate of the section under full flow and without backwater support, calculated using Manning's formula: . For the first The downstream reduction factor of the segment. For the first The upper limit of the section's capacity under actual downstream operating conditions: , For all entrances in The upper limit of the total structure that can be accessed by the pipeline network is constrained by the wellhead geometry and the submersion status. The upper limit of the combined flow rate under the current downstream boundary and operating conditions. The maximum pipeline discharge flow rate in the target area.

[0034] In this embodiment, the amount of water that can enter through the pipeline and the amount that can exit through the network are first assessed, and then the minimum of the two is taken as the maximum discharge capacity of the area under this operating condition.

[0035] In a preferred embodiment, the regional storage volume is calculated based on the following formula. : ; The regional permeability is calculated based on the following formula. : .

[0036] In a preferred embodiment, the method for obtaining drainage capacity data of the target area is as follows: ; in, , The maximum storage capacity of the region. This represents the total flow rate at the inlet side. For the first The entrance is at the current water depth. The flow rate of the water below; For time, This refers to changes in water depth.

[0037] In this embodiment, the target area is first gridded. Based on the land cover type and underlying surface type of each grid, the equivalent storage depth and time-averaged infiltration rate are determined. The total storage volume and regional infiltration capacity of the area are then obtained through area weighting. Next, the design rainfall time history is used as the inflow term, the regional infiltration capacity is used as the loss term to be deducted first, and the drainage volume, jointly limited by the storm drain structure capacity and the pipe network flow capacity, is used as the outflow term. These are substituted into the mass conservation equation established based on the equivalent water accumulation area to obtain the change in water depth over time in the target area in real time, thus providing a dynamic water depth curve for subsequent flood control parameter optimization. In this embodiment, it can be understood that "drainage capacity data" is used as... The abbreviation for the calculation equation.

[0038] In a preferred embodiment, the method for obtaining the trend information of the water depth in the target area over time is as follows: A digital regional surface model of the target area is constructed, and the digital regional surface model is divided into several grid plots. Each grid plot in the digital regional surface model is used as metadata, and the drainage capacity data of each metadata is obtained. The topographic elevation data of the region is obtained, and the average topographic elevation of each metadata is obtained. Based on the topographic elevation values, the surface flow data between different grid plots is obtained. The simulated rainfall scenario is input into the dynamic water depth evaluation model, and based on the surface flow data and drainage capacity data corresponding to all grid plots in the target area, the trend information of water depth in the target area over time is obtained.

[0039] In this embodiment, a large-area grid is used as the basic unit. Drainage capacity data is assigned to each grid, and surface flow between grids is driven by topographic elevation differences. Under a given rainfall sequence, the water depth of each grid is advanced according to mass conservation. This allows us to obtain the water depth-time curve for the target area.

[0040] In a preferred embodiment, the method for obtaining surface flow data between different grid parcels is as follows: Obtain water surface elevation and hydraulic gradient: ; ; in, Indicates the first Geshui surface elevation; Indicates the first The surface water is deep; Indicates a case Point to adjacent cell Hydraulic gradient; This represents the characteristic hydraulic lengths of the two cells k and m; For the first Average elevation of the terrain; For positive part operators; Based on water surface elevation and hydraulic gradient, surface discharge data are obtained: ; ; in, Indicates flow rate per unit width; Indicates the first Surface roughness coefficient; Indicates the volumetric flow rate between cells; This indicates that the two cells share the same boundary length.

[0041] In this embodiment, the hydraulic gradient from high to low is calculated using the difference in water surface elevation, then the flow rate per unit width is determined using Manning's formula for surface sheet flow, and finally multiplied by the shared side length of the two cells to obtain the inter-cell volumetric flow rate; thus, each pair of adjacent cells has a flow rate from... Flow to Flow of the table .

[0042] In a preferred embodiment, the method for obtaining the trend information of the water depth in the target area over time is as follows: First, obtain the standard space precipitation model: in, Indicates the first Rainfall intensity; Indicates the baseline rainfall time history; Indicates spatial weight.

[0043] Obtaining actual infiltration water intake: in, Indicates the first Infiltration volumetric flow rate; Indicates the proportion of permeable area; Indicates the permeable area.

[0044] Since the reservoir only increases storage capacity before it is formed and does not experience flow, the pre-existing storage capacity is used for filling: in, Indicates the first The pre-filled storage volume of the grid.

[0045] Based on the law of conservation of mass, by simultaneously establishing the relationships between inter-cell exchange, infiltration, and efflux, we obtain: in, Indicates the first At any moment The water depth, Indicates d and case The set of adjacent lattices.

[0046] Finally, the estimated water depth is obtained through discrete updates: ; in, Indicates the first At any moment The water depth; Indicates the time step, in seconds; superscript Indicates in The value is taken at the specified location. Different rainfall durations correspond to different water depth estimates.

[0047] In this embodiment, based on stability experience, we take... ,in Let be the characteristic velocity of the flow. Based on the above formula, we can obtain that the k-th cell at time _____. water depth value When different rainfall values ​​are input, the water depth of the target area can be simulated, thus providing waterproofing and disaster prevention requirements for building planning and design.

[0048] like Figure 3 As shown, in one embodiment, an urban planning device is provided, which can be integrated into the aforementioned computer device 120, and may specifically include: The basic data acquisition unit 510 is used to acquire terrain data and drainage capacity data of the target area; The trend acquisition unit 520 is used to construct a dynamic evaluation model of water depth in the target area based on the terrain data and drainage capacity data; input a preset simulated rainfall scenario into the model to obtain the trend information of water depth in the target area over time; The compliance judgment unit 530 is used to obtain the flood control level requirements and optimize the flood control parameters of the building to be tested in the target area according to the change trend information until the flood control level of the building to be tested reaches the preset flood control level requirements.

[0049] In the embodiments of this application, the explanation of the above steps is as described above and will not be repeated here.

[0050] Figure 4 An internal structural diagram of a computer device in one embodiment is shown. Specifically, this computer device may be... Figure 1 Computer equipment 120. (e.g.) Figure 4As shown, the computer device includes a processor, memory, network interface, input device, and display screen connected via a system bus. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and may also store computer programs that, when executed by the processor, enable the processor to implement urban planning methods. The internal memory may also store computer programs that, when executed by the processor, enable the processor to implement urban planning methods.

[0051] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0052] In one embodiment, the urban planning device provided in this application can be implemented as a computer program, which can be implemented in, for example... Figure 4 The computer device shown runs on this system. The computer device's memory can store the various program modules that make up the urban planning device, for example... Figure 3 The basic data acquisition unit 510 and the trend acquisition unit 520 shown are examples of this. The computer program, comprised of these various program modules, causes the processor to execute the steps in the urban planning methods of the various embodiments of this application described in this specification.

[0053] For example, Figure 4 The computer equipment shown can be used as follows Figure 3 The basic data acquisition unit 510 in the urban planning device shown executes step S10. The computer equipment can execute step S20 through the trend acquisition unit 520. And so on.

[0054] In one embodiment, a computer-readable storage medium is provided, wherein a computer program is stored therein, which, when executed by a processor, causes the processor to perform the steps of an urban planning method as described above.

[0055] In one embodiment, an urban planning system is provided, including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of an urban planning method as described above.

[0056] In the embodiments of this application, the descriptions of the two applications of the above-mentioned urban planning method are as above, and will not be repeated here.

[0057] It should be understood that although the steps in the flowcharts of the various embodiments of this application are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above.

[0058] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. An urban planning method, characterized in that, The method includes: Acquire terrain data and drainage capacity data for the target area; Based on the terrain data and drainage capacity data, a dynamic assessment model of water accumulation depth in the target area is constructed; a preset simulated rainfall scenario is input into the model to obtain information on the trend of water accumulation depth in the target area over time. Obtain the flood control level requirements, and optimize the flood control parameters of the buildings to be tested in the target area based on the changing trend information until the flood control level of the buildings to be tested reaches the preset flood control level requirements.

2. The urban planning method according to claim 1, characterized in that, The method for obtaining drainage capacity data for the target area is as follows: A digital surface model of the target area is constructed based on terrain data, and the digital surface model is divided into several grid blocks. Obtain all grid plots contained in the target area, and denote them as the target grid plot; Based on the land cover type and underlying surface type of each target grid block, the average infiltration rate and maximum water retention volume of each target grid block are obtained. The regional permeability and regional retention volume of the target area are obtained based on the average permeability and maximum retention volume of each target grid block. Obtain the maximum discharge flow rate of each drainage outlet in the target area to obtain the maximum pipeline discharge flow rate of the target area; Based on the area's infiltration rate and maximum pipeline discharge flow, the drainage capacity data of the target area is obtained.

3. The urban planning method according to claim 2, characterized in that, The method for obtaining the average infiltration rate and maximum water retention volume of each target grid block based on the land cover type and underlying surface type is as follows: Get the coverage type for each grid. Underlay type And whether it is waterproof. ; Obtain the average permeability of the target grid block: ； ； Get the maximum storage volume of the target grid block: 。 4. The urban planning method according to claim 2, characterized in that, The method for obtaining the maximum pipeline discharge flow rate in the target area is as follows: Get the Each drainage outlet is designed to have an effective water depth. The upper limit of the structure for water passage: ； In the above formula , For the width of the weir and the area of ​​the orifice, and The relative elevations of the weir crest and the bottom of the borehole; For coefficients; Obtain the pipeline network The section is reduced at full flow and downstream. The following abilities: ； To obtain the maximum pipe discharge flow rate: 。 5. The urban planning method according to claim 2, characterized in that, The method for obtaining drainage capacity data for the target area is as follows: ； in, .

6. The urban planning method according to claim 1, characterized in that, The method for obtaining information on the trend of water depth in the target area over time is as follows: Construct a digital regional surface model of the target area, and divide the digital regional surface model into several grid plots; Each grid parcel in the digital regional surface model is treated as metadata, and the drainage capacity data of each metadata parcel is obtained. Obtain the topographic elevation data of the region, and obtain the average topographic elevation of each of the aforementioned metadata. Based on the terrain elevation values, surface flow data between different grid parcels are obtained; The simulated rainfall scenario is input into the dynamic evaluation model of water depth. Based on the surface flow data and drainage capacity data corresponding to all grid blocks in the target area, the trend information of water depth in the target area over time is obtained.

7. The urban planning method according to claim 1, characterized in that, The method for obtaining surface flow data between different grid parcels is as follows: Obtain water surface elevation and hydraulic gradient: ； ； in, Indicates the first Geshui surface elevation; Indicates the first The surface water is deep; Indicates a case Point to adjacent cell Hydraulic gradient; This represents the characteristic hydraulic lengths of the two cells k and m; Based on water surface elevation and hydraulic gradient, surface discharge data are obtained: ； ； in, Indicates flow rate per unit width; Indicates the first Surface roughness coefficient; Indicates the volumetric flow rate between cells; This indicates that the two cells share the same boundary length.

8. An urban planning device, characterized in that, The urban planning device includes: The basic data acquisition unit is used to acquire terrain data and drainage capacity data of the target area; The trend acquisition unit is used to construct a dynamic evaluation model of water depth in the target area based on the terrain data and drainage capacity data; input a preset simulated rainfall scenario into the model to obtain the trend information of water depth in the target area over time; The compliance judgment unit is used to obtain the flood control level requirements and optimize the flood control parameters of the building to be tested in the target area based on the change trend information until the flood control level of the building to be tested reaches the preset flood control level requirements.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the steps of an urban planning method as described in any one of claims 1 to 7.

10. An urban planning system, characterized in that, The system includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of an urban planning method as described in any one of claims 1 to 7.

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