A city renewal planning method, device, medium and equipment

Abstract

The application discloses a kind of urban renewal planning method, device, medium and equipment, it is related to urban planning technical field, including obtaining the water quality simulation data of to-be-measured area, water quality simulation data is input to stormwater management model SWMM to carry out water quality simulation, obtain the effect value of water quality theoretical state under current development condition;The target value of water quality control, pollution source intensity and runoff coefficient of to-be-measured area are obtained;The effect value of water quality theoretical state is compared with the target value of water quality control, when effect value is greater than target value and for the region that there is planning demand, by updating the pollution source intensity and runoff coefficient of to-be-measured area, according to updated pollution source intensity and runoff coefficient, in combination with water quality simulation data, simulation of stormwater management model SWMM is carried out again, determine updated effect value, until updated effect value is less than or equal to target value, obtain final urban renewal planning scheme.

Description

Technical Field

[0001] This invention relates to the field of urban planning technology, and in particular to an urban renewal planning method, apparatus, medium and equipment. Background Technology

[0002] Water environment quality constraints refer to restrictions on wastewater discharge during regional development, based on maintaining the self-purification capacity of water bodies and the environment's pollution carrying capacity, under certain water environment quality targets. Water environment quality has inherent economic, social, ecological, and aesthetic value, and will influence the overall pattern and mode of urban development.

[0003] However, urban development often prioritizes economic and social factors, paying less attention to the constraints and guidance of water environmental quality. Past rapid urbanization has severely impacted the natural water cycle, directly manifesting as a continuous increase in impermeable surfaces and serious urban non-point source pollution. How to effectively utilize urban renewal as a valuable opportunity to improve source land use and reduce non-point source pollution risks is a crucial aspect of current efforts to improve water environmental quality. From the perspective of the entire water environment governance process, urban process management (such as street cleaning) and end-of-pipe treatment can directly affect river water quality, but source development is often the root cause of non-point source pollution; if source development is unreasonable, even the best process supervision and end-of-pipe treatment will only be a temporary solution.

[0004] Therefore, in response to the real-world needs of urban renewal areas facing water environment quality constraints, it is necessary to propose pollution reduction strategies for land development at the source from the planning and design level, based on an assessment of whether the current development of existing plots meets the regional water environment quality requirements. Summary of the Invention

[0005] This invention provides a method, apparatus, medium, and equipment for urban renewal planning to solve the aforementioned problems in the prior art, namely, how to reduce the risk of non-point source pollution in the prior art. This invention provides an urban renewal planning method, which includes: Obtain water quality simulation data of the area to be tested, input the water quality simulation data into the stormwater management model (SWMM) for water quality simulation, and obtain the effect value of the theoretical state of water quality under the current development conditions; wherein, the effect value includes the concentration values ​​of NH3-N and TP. Obtain the target values ​​for water quality control, pollution source intensity, and runoff coefficient for the area to be tested, and compare the effect values ​​of the theoretical water quality state with the target values ​​for water quality control. When the effect value is greater than the target value, the pollution source intensity in the test area is reduced by decreasing the pollutant accumulation parameter and pollutant flushing parameter in the water quality simulation data, and the updated pollution source intensity is determined. The runoff coefficient in the test area is reduced by increasing the rainwater infiltration rate in the water quality simulation data, and the updated runoff coefficient is determined. Based on the updated pollution source intensity and runoff coefficient, combined with the water quality simulation data, the stormwater management model SWMM is simulated again to determine the updated effect value. This process is repeated until the updated effect value is less than or equal to the target value, resulting in the final urban renewal planning scheme.

[0006] Optionally, when the effect value is greater than the target value, for areas with planning needs, the pollutant accumulation parameter and pollutant scouring parameter can be reduced by changing the land use type, and the impermeable area can be reduced by increasing permeable pavement to reduce the development intensity, thereby increasing the rainwater infiltration rate.

[0007] Optionally, when the ratio of the target value to the effect value is greater than or equal to a preset threshold, the runoff coefficient is reduced by improving the source-sink layout, and the updated effect value is determined until the updated effect value is less than or equal to the target value. Otherwise, determine whether the building density of the area to be tested has reached the preset lower limit; If so, the runoff coefficient is reduced by adding infrastructure, and the updated effect value is determined until the updated effect value is less than or equal to the target value. Otherwise, by reducing building density, the pollutant accumulation parameter and pollutant scouring parameter can be reduced to decrease the pollution source intensity in the test area, and the updated effect value can be determined until the updated effect value is less than or equal to the target value.

[0008] Optionally, changing the land use type specifically includes modifying the land use type code of the target plot in the GIS platform attribute table, determining the new land use type, and selecting the hydrological parameter group corresponding to the new land use type; reducing development intensity includes reducing the impermeable area by increasing permeable paving.

[0009] Optionally, the additional infrastructure includes adding storage tanks, constructing infiltration ditches, and adding drainage pipe networks.

[0010] Optionally, the preset threshold is 0.6.

[0011] Optionally, the water quality simulation data specifically includes: Land use data, digital elevation data, rainfall data, and planning data.

[0012] This invention provides an urban renewal planning device, comprising: The simulation evaluation module is used to acquire water quality simulation data of the area to be tested, input the water quality simulation data into the stormwater management model (SWMM) to simulate water quality, and obtain the effect value of the theoretical state of water quality under the current development conditions; wherein, the effect value includes the concentration values ​​of NH3-N and TP. The problem identification module is used to obtain the target value of water quality control, pollution source intensity and runoff coefficient of the area to be tested, and compare the effect value of the theoretical state of water quality with the target value of water quality control. The scenario simulation and planning response module is used to reduce the pollution source intensity in the test area by decreasing the pollutant accumulation and pollutant flushing parameters in the water quality simulation data when the effect value is greater than the target value, and to determine the updated pollution source intensity; it also reduces the runoff coefficient in the test area by increasing the rainwater infiltration rate in the water quality simulation data, and to determine the updated runoff coefficient; based on the updated pollution source intensity and runoff coefficient, combined with the water quality simulation data, the stormwater management model (SWMM) is simulated again to determine the updated effect value, until the updated effect value is less than or equal to the target value, thus obtaining the final urban renewal planning scheme.

[0013] The present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described urban renewal planning method.

[0014] The present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-mentioned urban renewal planning method.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides an urban renewal planning method. This method introduces a quantitative assessment system of "effect value" and "target value," combined with SWMM model simulation and data calibration, to achieve a quantitative assessment of water environment capacity. For different water quality gaps and development constraints, it provides multiple scenario optimization paths, such as improving source-sink layout, updating land use layout, and constructing grey infrastructure, to update pollution source intensity and runoff coefficients. This allows for simulation correction of the stormwater management model (SWMM), determining the water quality calculation simulation results for the test area. This enables a comprehensive assessment of the water environment impact of source development in urban renewal throughout the entire process, improving the operability of planning schemes, reducing non-point source pollution risks from the source, and meeting water environment quality control requirements. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0017] Figure 1A flowchart of an urban renewal planning method provided in an embodiment of the present invention; Figure 2 A technical roadmap for an urban renewal planning method provided in this embodiment of the invention; Figure 3 A comparison chart of optimized simulated values ​​and target values ​​of water quality effect values ​​provided in embodiments of the present invention; Figure 4 A schematic diagram of a computer device for an urban renewal planning method provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0020] like Figure 1 and Figure 2 As shown in this embodiment, the urban renewal planning method includes: S1: Obtain water quality simulation data of the area to be tested, input the water quality simulation data into the stormwater management model (SWMM) for water quality simulation, and obtain the effect value of the theoretical state of water quality under the current development conditions; wherein, the effect value includes the concentration values ​​of NH3-N and TP.

[0021] For example, the water quality simulation data collected for the area to be tested can mainly include land use data (mainly including seven categories: residential (R), commercial (B), green space (G), public buildings (A), roads (S), industry (M), and water bodies (W),) digital elevation data, rainfall data, and planning data (such as new cumulative coefficients of pollution source intensity and surface parameters related to runoff coefficients).

[0022] For example, based on data such as main roads, digital elevation data, and land use types, the area to be measured can be divided into 79 sub-catchments, 18 stormwater pipe sections, and equipped with 14 inspection wells and 2 drainage outlets. Using a stormwater management model (SWMM) for water quality simulation, the area to be measured can be generalized into 79 sub-catchments, 18 stormwater pipe sections, 14 inspection wells, and 2 drainage outlets.

[0023] For example, multiple types of basic data can be standardized to form a unified data base map, providing consistent data support for water quality simulation.

[0024] For example, the specific process of validating and calibrating the parameters using a stormwater management model (SWMM) is as follows: (1) Model parameter settings: The values ​​of the model uncertainty parameters are taken with reference to the typical values ​​in the SWMM model user manual and related literature. The Horton model is used for the infiltration model in the SWMM model, with the maximum and minimum infiltration rates of 75 mm / h and 3.25 mm / h, respectively, the attenuation coefficient of 4 h⁻¹, the surface roughness of permeable and impermeable surfaces of 0.24 and 0.011, respectively, and the depression storage capacity of 6.5 mm and 3.5 mm, respectively. The runoff model in the SWMM model is a nonlinear reservoir model, and the hydraulic model in the SWMM model is a dynamic wave model. In terms of water quality simulation, this invention selects two typical pollutants, NH₃-N and TP, in surface runoff as research objects. The pollutant accumulation model and scour model in the SWMM model are both exponential models. The model parameter settings are based on the "Regional Assessment Standard for Sponge City Construction" (DBJ33 / T 1287-2022).

[0025] (2) Current status assessment: The water quality effect value of the research unit under the current development conditions is calculated by water quality simulation to complete the current status assessment of water environment capacity and obtain the initial effect value; (3) Model validation: Combine the actual water quality and hydrological data to calibrate and validate the SWMM model, update the model parameters, and ensure the reliability of the simulation results.

[0026] S2: Obtain the target value of water quality control, pollution source intensity and runoff coefficient of the area to be tested, and compare the effect value of the theoretical state of water quality with the target value of water quality control.

[0027] S3: When the effect value is greater than the target value, the pollution source intensity in the test area is reduced by decreasing the pollutant accumulation parameter and pollutant flushing parameter in the water quality simulation data, and the updated pollution source intensity is determined; the runoff coefficient in the test area is reduced by increasing the rainwater infiltration rate in the water quality simulation data, and the updated runoff coefficient is determined; based on the updated pollution source intensity and runoff coefficient, combined with the water quality simulation data, the stormwater management model SWMM is simulated again to determine the updated effect value, until the updated effect value is less than or equal to the target value, and the final urban renewal planning scheme is obtained.

[0028] For example, in urban renewal planning, pollution source intensity and runoff coefficient are core parameters connecting water quality targets and spatial interventions. Development intensity directly affects pollutant emission intensity, and pollution emissions can be reduced at the source by setting reasonable development intensity limits, such as reducing impervious areas. In addition, pollution source intensity is also related to urban land use types (such as industrial / commercial areas), and pollution emissions can be reduced at the source by optimizing land use. Runoff coefficient depends on the permeability of the underlying surface and the design of the drainage system, and hydrological processes can be altered by increasing green space ratio, deploying LID facilities, or using water storage ponds to block pollution diffusion paths.

[0029] For example, a stormwater management model (SWMM) is used to simulate the stormwater runoff based on adjusted pollution source intensity and runoff coefficient to determine the adjusted effect values ​​(NH3-N and TP concentrations). The steps are as follows: Adjusted water quality simulation data are collected, including land use data (such as updated land use types and development intensities), digital elevation data, rainfall data (design rainfall events), and planning data (such as new cumulative coefficients of pollution source intensity and surface parameters related to runoff coefficients). These data are standardized to form a unified base map, which is then input into the SWMM model (in this invention, the area to be tested is generalized into 79 sub-catchments and 18 stormwater pipe sections). After the model runs, the runoff and pollutant load of each sub-catchment are dynamically calculated. The runoff and pollutant load are aggregated to the drainage outlet through a pipeline system (such as 14 manholes), and the effect value is output as a concentration value (e.g., TP = 0.15 mg / L). The simulation results are directly compared with the target values ​​(based on GB 3838-2002, for example, the Class III water target TP ≤ 0.2 mg / L). If the target is not met (effect value > target value), the optimization cycle is repeated (multiple rounds of "parameter adjustment-simulation-evaluation") until the effect value ≤ target value, forming the final planning scheme. The specific relationship between the specific measures and the two parameters of pollution source intensity and runoff coefficient can be obtained through relevant implementation standards.

[0030] The parameters are optimized through iterative optimization to meet the requirements: when the initial simulated effect value is greater than the target value, the parameters are updated by applying measures, other variables are kept unchanged, and SWMM is triggered to recalculate until the adjusted pollution source intensity and runoff coefficient driving effect value are less than or equal to the target value.

[0031] For example, by combining pollution source intensity and runoff coefficient to form a dual control mechanism of "source-process", urban pollution reduction targets (such as water quality treatment needs) can be transformed into binding indicators that can be operated in legal planning documents (such as building density limits and storage tank volume). This can effectively improve the city's water environment quality, meet water environment quality control requirements, and ultimately achieve sustainable urban renewal based on water availability through dynamic optimization.

[0032] For example, based on the quantitative relationship between "effect value" and "target value," the development capacity of the research unit is initially assessed: if the effect value ≤ target value, urban development meets water environment requirements; conversely, if the effect value > target value, urban development exceeds the water environment capacity load. This comparative judgment method can accurately identify units with overdevelopment problems at the source, providing a clear direction and focus for subsequent multi-scenario simulations and the formulation of targeted optimization strategies. The model's basic parameters refer to the representation parameters of relevant measures in the SWMM model. In urban planning, increasing the proportion of permeable underlying surfaces such as permeable pavement and green roofs can reduce the runoff coefficient, slow down rainwater runoff velocity, and improve the city's rainwater infiltration and retention capacity. The parameters for permeable pavement measures are shown in Table 1.

[0033] Table 1. Parameter values ​​for permeable pavement For example, depending on the development status of the land parcel, the "redevelopment" or "micro-renewal" path can be selected: for inefficient land parcels with planning needs, the "redevelopment" path is implemented, and development planning is carried out by changing the land use type and reducing the development intensity; for land parcels that have reached a certain scale and do not have the need for replanning, the "micro-renewal" path is implemented, and optimization and renewal are carried out by improving the source and sink layout, reducing building density, and adding infrastructure (mainly referring to gray infrastructure, such as storage tanks, drainage pipe networks, etc.).

[0034] For example, the pollution source intensity and runoff coefficient can be directly modified by replacing attribute values. For instance, by changing the land use type, high-pollution / high-runoff land can be updated to low-pollution / low-runoff land. The specific process may include: (1) directly modifying the land use type code of the target plot in the attribute table of the GIS platform (such as ArcGIS); (2) linking the model parameter library: automatically calling the hydrological parameter group corresponding to the new land use type. Reducing development intensity is achieved by reducing the proportion of impermeable surfaces to enhance rainwater infiltration capacity. The specific process may include: locating the target sub-catchment area in the SWMM input file and synchronously updating the associated parameters.

[0035] By adding sponge facilities with pre-set parameters in a designated area, such as improving the source-sink layout, the ability to intercept and retain sewage at the source can be enhanced, thereby reducing the runoff coefficient. The specific process may include: (1) pre-inputting sponge facility parameter groups (such as permeable pavement infiltration rate, depth of sunken green space, etc.); (2) locating the area to be modified in GIS and overlaying the sponge facility spatial layer; (3) injecting the pre-set parameters into the corresponding LID module of SWMM.

[0036] Rainwater infiltration can be enhanced by reducing building density, thereby reducing the proportion of impermeable area. The specific process may include: obtaining the minimum building density required by planning regulations; using this minimum value as a benchmark, gradually reducing the building density of the target plot and updating the hard paving ratio parameters to enhance rainwater infiltration.

[0037] For example, hydrological processes can be controlled by constructing gray infrastructure such as infiltration trenches and storage ponds. The specific process may include adding storage pond units to the SWMM model and setting volume parameters to establish a hydrological connection between the pollution source and the facility, so as to physically intercept and delay the discharge of pollutants and control the hydrological process.

[0038] Exemplary scenario segmentation methods under the "micro-update" path: a. Using a target value / effect value ≥ 0.6 as the scenario dividing line: If the target value / effect value ≥ 0.6, it indicates that the effect value can be reduced by improving the source and sink layout (sponge city transformation) in a low cost and with good results; if the target value / effect value < 0.6, it indicates that the development of the plot has far exceeded its water environment capacity, and it is very difficult to make its water quality effect value meet the standard by relying solely on sponge city transformation. It is also necessary to combine other micro-renewal methods to further reduce source pollution.

[0039] b. In the scenario where the target value / effect value < 0.6, "building density" is used as the comprehensive benefit judgment standard, and "updating the hard paving ratio" and "constructing a stormwater storage tank" are selected as representative measures for land use layout renewal and gray infrastructure construction, respectively, to facilitate the simulation and updating of subsequent schemes. That is, when the building density of the plot has not yet reached the lower limit, priority is given to reducing the building density to reduce the effective impermeable area (updating the hard paving ratio); if the building density has reached the planning lower limit, it is necessary to construct gray infrastructure such as stormwater storage tanks and perform preliminary treatment of rainwater to control pollution at the source.

[0040] For example, after each update of the plan, the model parameters represented by the modification measures can be input into the SWMM model for simulation evaluation. Through multiple rounds of "optimization-evaluation-re-optimization" cycles, until the effect value is less than or equal to the target value, a final feasible planning plan is formed.

[0041] For example, based on the current situation, the simulated effect value of the land parcel can be calculated as worse than Class V water (C(TP) = 0.43 mg·L⁻¹). -1 C(NH3-N) = 3.33 mg·L -1 The site did not meet the Class III water quality control target, indicating that it was an overdeveloped area. Furthermore, the target value / effect value was less than 0.6, suggesting that the current water quality effect value is far from meeting the water quality control target. Sponge city transformation is unlikely to make it meet the water quality control target requirements.

[0042] First round of updates: The current building density of the plot is 26.50%, which is still some distance from the building density range (20%-30%) determined by the control plan. Therefore, the method of reducing the building density (updating the hard paving ratio) is prioritized, taking the lower limit (20%) of the control plan to maximize the impermeable surface area. Based on the original pipe network data, the updated planning scheme is simulated again, and the resulting effect value is Class V water (C(TP) = 0.22 mg·L⁻¹). -1 C(NH3-N) = 1.65 mg·L -1 The water quality control target has not yet been achieved.

[0043] Second round of updates: After the first round of updates, the target value / effect value was ≥0.6, indicating that the water quality effect value under this land use scheme was close to the water quality control target. Since it was within the acceptable range for sponge city transformation, sponge city transformation methods were further adopted. Permeable pavement was selected as a sponge city transformation facility and added to the model simulation, resulting in an effect value of Class III water (C(TP) = 0.15 mg·L⁻¹). -1 C(NH3-N) = 0.86 mg·L -1 If the water quality target value is achieved, it indicates that the optimized plan meets the water quality control requirements and can reduce the risk of non-point source pollution to a certain extent. Figure 3 The diagram shown is a simulation of the water quality effect value of the test area after two rounds of scheme optimization in this embodiment.

[0044] The above are one or more embodiments of the urban renewal planning method provided in this specification. Based on the same idea, this specification also provides a corresponding urban renewal planning device, including: The simulation evaluation module is used to acquire water quality simulation data of the area to be tested, input the water quality simulation data into the stormwater management model (SWMM) to simulate water quality, and obtain the effect value of the theoretical state of water quality under the current development conditions; wherein, the effect value includes the concentration values ​​of NH3-N and TP. The problem identification module is used to obtain the target value of water quality control, pollution source intensity and runoff coefficient of the area to be tested, and compare the effect value of the theoretical state of water quality with the target value of water quality control. The scenario simulation and planning response module is used to reduce the pollution source intensity in the test area by decreasing the pollutant accumulation and pollutant flushing parameters in the water quality simulation data when the effect value is greater than the target value, and to determine the updated pollution source intensity; it also reduces the runoff coefficient in the test area by increasing the rainwater infiltration rate in the water quality simulation data, and to determine the updated runoff coefficient; based on the updated pollution source intensity and runoff coefficient, combined with the water quality simulation data, the stormwater management model (SWMM) is simulated again to determine the updated effect value, until the updated effect value is less than or equal to the target value, thus obtaining the final urban renewal planning scheme.

[0045] Specific limitations regarding the urban renewal planning device can be found in the above section on urban renewal planning methods, and will not be repeated here. Each module in the aforementioned urban renewal planning device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0046] The present invention also provides a computer-readable storage medium storing a computer program that can be used to execute the urban renewal planning method provided above.

[0047] The present invention also provides Figure 4 The schematic diagram of the computer device shown is as follows: Figure 4 As shown, at the hardware level, the computer device includes a processor, an internal bus, a network interface, memory, and non-volatile memory, and may also include other hardware required for business operations. The processor reads the corresponding computer program from the non-volatile memory into memory and then runs it to implement the urban renewal planning method provided in the above embodiments.

[0048] 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 computer 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. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0049] 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 invention.

Claims

1. A method for urban renewal planning, characterized in that, include: Obtain water quality simulation data of the area to be tested, input the water quality simulation data into the stormwater management model (SWMM) for water quality simulation, and obtain the effect value of the theoretical state of water quality under the current development conditions; wherein, the effect value includes the concentration values ​​of NH3-N and TP. Obtain the target values ​​for water quality control, pollution source intensity, and runoff coefficient for the area to be tested, and compare the effect values ​​of the theoretical water quality state with the target values ​​for water quality control. When the effect value is greater than the target value, the pollution source intensity in the test area is reduced by decreasing the pollutant accumulation and scour parameters in the water quality simulation data, thus determining the updated pollution source intensity. The runoff coefficient in the test area is reduced by increasing the rainwater infiltration rate in the water quality simulation data, thus determining the updated runoff coefficient. Based on the updated pollution source intensity and runoff coefficient, combined with the water quality simulation data, the stormwater management model (SWMM) is simulated again to determine the updated effect value, until the updated effect value is less than or equal to the target value, resulting in the final urban renewal planning scheme. When the ratio of the target value to the effect value is greater than or equal to a preset threshold, the runoff coefficient is reduced by improving the source-sink layout, thus determining the updated effect value, until the updated effect value is less than or equal to the target value. Otherwise, it is determined whether the building density in the test area has reached a preset lower limit. If so, the runoff coefficient is reduced by adding infrastructure, and the updated effect value is determined until the updated effect value is less than or equal to the target value; otherwise, the pollutant accumulation parameter and pollutant scouring parameter are reduced by reducing building density to reduce the pollution source intensity of the test area, and the updated effect value is determined until the updated effect value is less than or equal to the target value; the preset threshold is 0.

6.

2. The urban renewal planning method as described in claim 1, characterized in that, When the effect value is greater than the target value, for areas with planning needs, the pollutant accumulation parameter and pollutant scouring parameter are reduced by changing the land use type, and the impermeable area is reduced by increasing permeable pavement to reduce the development intensity, thereby increasing the rainwater infiltration rate.

3. The urban renewal planning method as described in claim 2, characterized in that, The change of land use type specifically includes modifying the land use type code of the target plot in the attribute table of the GIS platform, determining the new land use type, and selecting the hydrological parameter group corresponding to the new land use type; the reduction of development intensity includes reducing the impermeable area by increasing permeable paving.

4. The urban renewal planning method as described in claim 1, characterized in that, The additional infrastructure specifically includes adding storage tanks, constructing infiltration ditches, and adding drainage pipe networks.

5. The urban renewal planning method as described in claim 1, characterized in that, The water quality simulation data specifically includes: Land use data, digital elevation data, rainfall data, and planning data.

6. An urban renewal planning device, characterized in that, include: The simulation evaluation module is used to acquire water quality simulation data of the area to be tested, input the water quality simulation data into the stormwater management model (SWMM) to simulate water quality, and obtain the effect value of the theoretical state of water quality under the current development conditions; wherein, the effect value includes the concentration values ​​of NH3-N and TP. The problem identification module is used to obtain the target value of water quality control, pollution source intensity and runoff coefficient of the area to be tested, and compare the effect value of the theoretical state of water quality with the target value of water quality control. The scenario simulation and planning response module is used to determine the updated pollution source intensity in the test area by reducing the pollutant accumulation and scour parameters in the water quality simulation data when the effect value is greater than the target value; and to determine the updated runoff coefficient by increasing the rainwater infiltration rate in the water quality simulation data. Based on the updated pollution source intensity and runoff coefficient, and combined with the water quality simulation data, the SWMM (Sudden Rainfall Management Model) is simulated again to determine the updated effect value, until the updated effect value is less than or equal to the target value, thus obtaining the final urban renewal planning scheme. When the target value and the effect value are greater than the target value, the module determines the updated effect value. If the ratio of the expected value to the target value is greater than or equal to a preset threshold, the runoff coefficient is reduced by improving the source-sink layout, and the updated effect value is determined until the updated effect value is less than or equal to the target value; otherwise, it is determined whether the building density of the test area has reached a preset lower limit; if so, the runoff coefficient is reduced by adding infrastructure, and the updated effect value is determined until the updated effect value is less than or equal to the target value; otherwise, the pollutant accumulation parameter and pollutant scouring parameter are reduced by reducing the building density to reduce the pollution source intensity of the test area, and the updated effect value is determined until the updated effect value is less than or equal to the target value; the preset threshold is 0.

6.

7. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the urban renewal planning method according to any one of claims 1-5.

8. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the urban renewal planning method according to any one of claims 1-5.

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