A multi-scenario assessment and spatial planning response method for LID facilities

Abstract

The present invention relates to a multi-scenario evaluation and spatial planning response method for LID facilities, including: obtaining an initial LID facility plan for a planning area; using the ratio of the runoff control rate to the construction cost of the LID facility as an objective function, and optimizing the initial LID facility plan according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate; obtaining a standard LID facility plan; comparing the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan, and the standard LID facility plan, and determining the LID implementation plan based on the comparison result. The beneficial effect of the present invention is that the present invention can flexibly adjust the LID facility plan according to the conditions of the planning area through multi-scenario evaluation to ensure that the plan can achieve the best effect under different scenarios. At the same time, by exploring the relationship between the initial, optimal and standard plans, a comprehensive evaluation basis is provided for decision makers.

Description

Technical Field

[0001] The present invention relates to the field of drainage technology, and more specifically, to a multi-scenario assessment and spatial planning response method for LID facilities. Background Art

[0002] With the acceleration of urbanization, urban drainage systems are facing increasing pressure, especially in the context of frequent extreme climate events, urban flood disasters have become one of the problems that need to be solved urgently. Low Impact Development (LID) facilities are facilities that aim to reduce the impact of surface water runoff and water quality during development through a series of low-impact engineering measures. These facilities control runoff and pollution caused by heavy rains through decentralized, small-scale source control, making the development area as close to the natural hydrological cycle as possible.

[0003] However, in actual applications, the construction of LID facilities in the planning area is often restricted by various factors, including funds, land, environment, etc. How to scientifically plan and effectively implement LID facilities under limited conditions to achieve the best runoff control effect is an important issue that needs to be solved in the current urban planning field.

[0004] Traditional LID facility planning methods are often designed and evaluated based on a single scenario, ignoring the differences in the effectiveness of LID facilities under different scenarios. Summary of the invention

[0005] The purpose of the present invention is to address the deficiencies of the prior art and propose a multi-scenario assessment and spatial planning response method for LID facilities.

[0006] First, a multi-scenario assessment and spatial planning response method for LID facilities is provided, including:

[0007] S1. Obtain the initial LID facility plan for the planning area;

[0008] S2. Taking the ratio of the runoff control rate to the construction cost of the LID facility as the objective function, and optimizing the initial LID facility plan according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate, the optimal plan of the LID facility is obtained; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 ;

[0009] S3, obtaining a runoff control rate standard corresponding to the planning area, and obtaining a LID facility standard plan according to the runoff control rate standard;

[0010] S4. Compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan and the standard LID facility plan, and determine the LID implementation plan based on the comparison results.

[0011] Preferably, S4 includes:

[0012] S401. If the ratio of the runoff control rate of the standard scheme of LID facilities to the construction cost μ 标 >μ 优 , then adjust the buildable space boundary and re-optimize the initial LID facility plan;

[0013] S402, if μ 优 >μ 标 >μ 初 , then determine whether the optimal solution of LID facilities meets the conditions of the planning area. If so, the optimal solution of LID facilities is used as the LID implementation plan. If not, adjust the optimal solution of LID facilities to meet both the conditions of the planning area and μ 优 >μ 标 ;

[0014] S403, if μ 初 >μ 标 , then determine whether the optimal LID facility plan meets the conditions of the planning area. If so, the optimal LID facility plan will be used as the LID implementation plan; if not, then determine whether the runoff control rate of the initial LID facility plan meets the runoff control rate standard. If so, the initial LID facility plan will be used as the LID implementation plan. If not, adjust the runoff control rate bottom line and re-optimize the initial LID facility plan.

[0015] Preferably, S2 comprises:

[0016] S201. Determine the bottom line of runoff control rate in the planning area;

[0017] S202. Determine the boundary of the constructible space for LID facilities in the planning area;

[0018] S203, inputting the initial LID facility plan, control variables and runoff control rate baseline into the iterative optimization model; the control variables include LID facility type, spatial layout location and area;

[0019] S204, the iterative optimization model uses the ratio of the runoff control rate of the LID facility to the construction cost as the objective function, and determines the candidate scheme of the LID facility through the optimization algorithm;

[0020] S205. Determine whether the spatial boundary of the LID facility candidate solution is within the scope of the constructible spatial boundary. If so, use the LID facility candidate solution as the optimal LID facility solution. If not, fine-tune the spatial boundaries of various types of LID facilities in the LID facility candidate solution until the spatial boundary of the LID facility candidate solution is within the scope of the constructible spatial boundary.

[0021] Preferably, in S203, the iterative optimization model includes a planning area rainfall condition environment setting module, a planning area LID initialization module, a planning area LID facility layout module and a LID facility optimization module;

[0022] Among them, the planning area rainfall condition environment setting module is used to simulate the rainfall condition parameters of the planning area; the planning area LID initialization module is used to receive the initial LID facility plan, and rasterize the planning area, and convert the initial LID facility into a spatial two-dimensional grid composed of several grids; the planning area LID facility layout module is used to layout various types of LID facilities into different grids; the LID facility optimization module is used to call the optimization algorithm to optimize the initial LID facility plan.

[0023] Preferably, in S203, the optimization algorithm is a non-dominated sorting genetic algorithm.

[0024] Preferably, the LID facilities include green spaces, permeable pavements, green roofs, bioretention ponds, reservoirs, rainwater irrigation, wet ponds, rainwater wetlands and rain gardens.

[0025] In a second aspect, a system for multi-scenario assessment and spatial planning response of LID facilities is provided, which is used to execute any of the multi-scenario assessment and spatial planning response methods of LID facilities described in the first aspect, including:

[0026] The first acquisition module is used to obtain an initial LID facility plan for the planning area;

[0027] The optimization module is used to optimize the initial LID facility plan based on the constructible space boundary of the LID facility and the bottom line of the runoff control rate to obtain the optimal plan of the LID facility by taking the ratio of the runoff control rate of the LID facility to the construction cost as the objective function and according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 ;

[0028] The second acquisition module is used to acquire the runoff control rate standard corresponding to the planning area, and acquire the LID facility standard plan according to the runoff control rate standard;

[0029] The comparison module is used to compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan and the standard LID facility plan, and determine the LID implementation plan based on the comparison result.

[0030] In a third aspect, a computer storage medium is provided, wherein a computer program is stored in the computer storage medium; when the computer program is executed on a computer, the computer executes the multi-scenario assessment and spatial planning response method for LID facilities as described in any one of the first aspects.

[0031] In a fourth aspect, an electronic device is provided, the electronic device comprising:

[0032] at least one processor; and,

[0033] a memory communicatively connected to the at least one processor; wherein,

[0034] The memory stores computer program instructions that can be executed by the at least one processor, and the computer program instructions are executed by the at least one processor to enable the at least one processor to execute the LID facility multi-scenario assessment and spatial planning response method as described in any one of the first aspects.

[0035] The beneficial effects of the present invention are:

[0036] 1. Through multi-scenario evaluation, the present invention can flexibly adjust the LID facility plan according to the conditions of the planning area to ensure that the plan can achieve the best effect in different scenarios. At the same time, by exploring the relationship between the initial, optimal and standard plans, it provides a comprehensive evaluation basis for decision makers, which helps to select the most appropriate implementation plan.

[0037] 2. The present invention can scientifically and rationally optimize the LID facility plan by considering the ratio of runoff control rate to construction cost as the optimization target, ensuring that the construction cost is effectively controlled while achieving the runoff control target, thereby improving the economy and practicality of the planning scheme.

[0038] 3. The present invention can efficiently search for the optimal LID facility layout plan by adopting an iterative optimization model and a non-dominated sorting genetic algorithm, reduce manual intervention, and improve optimization accuracy. This not only saves time and labor costs, but also makes the optimization results more in line with actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A flowchart of a multi-scenario assessment and spatial planning response method for LID facilities provided in an embodiment of the present application;

[0040] Figure 2 A schematic diagram of iterative optimization of the NSGA-II algorithm provided in an embodiment of the present application;

[0041] Figure 3 The overall workflow diagram of the optimization engine provided in the embodiment of the present application;

[0042] Figure 4 A schematic diagram of an initial LID facility solution provided in an embodiment of the present application;

[0043] Figure 5 A schematic diagram of an iterative optimization layout solution set for LID facilities provided in an embodiment of the present application;

[0044] Figure 6 A schematic diagram of a candidate LID facility solution provided in an embodiment of the present application;

[0045] Figure 7 A schematic diagram of the structure of the LID facility multi-scenario assessment and spatial planning response system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] The present invention is further described below in conjunction with embodiments. The description of the following embodiments is only used to help understand the present invention. It should be noted that for ordinary persons in the art, without departing from the principle of the present invention, the present invention can also be modified in some ways, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

[0047] Embodiment 1:

[0048] like Figure 1 As shown, Example 1 of the present application provides a multi-scenario assessment and spatial planning response method for LID facilities, including:

[0049] S1. Obtain the initial LID facility plan for the planning area.

[0050] Among them, LID facilities can be systems composed of various types such as green space, permeable pavement, green roofs, bioretention ponds, reservoirs, rainwater irrigation, wet ponds, rainwater wetlands, rainwater gardens, etc. The initial LID facility plan refers to the preliminary design plan formulated in the early stages of urban planning or development projects to implement low-impact development.

[0051] S2. Taking the ratio of the runoff control rate to the construction cost of the LID facility as the objective function, and optimizing the initial LID facility plan according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate, the optimal plan of the LID facility is obtained; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 .

[0052] S2 includes:

[0053] S201. Determine the bottom line of runoff control rate in the planning area.

[0054] Among them, runoff control refers to controlling the runoff volume through measures such as rainwater infiltration and storage. According to the definition of the "Technical Guidelines for Sponge City Construction - LID Facility Construction" of the Ministry of Housing and Urban-Rural Development (hereinafter referred to as the National "Technical Guidelines"), the runoff control rate refers to the percentage of rainfall accumulated and controlled (i.e. not discharged) in the site through natural and artificial enhanced infiltration, storage and other means to the total rainfall.

[0055] This application needs to set a bottom line for the LID facility runoff control rate in the planning area based on the requirements of the national "Technical Guidelines" or the local "Sponge City Construction Technical Guidelines" for the planning area.

[0056] S202. Determine the boundary of the constructible space for LID facilities in the planning area.

[0057] Specifically, the ArcGIS platform was used to overlay the urban construction history map, construction suitability assessment map, and ecological sensitivity assessment map of the planning area, and the boundaries of high construction suitability areas, low ecological sensitivity areas, and spaces that need to be protected and restored during the historical development of urban construction were extracted. After preliminary superposition and manual re-proofreading, the boundaries of the constructible space for LID facilities in the planning area were formed.

[0058] S203, inputting the initial LID facility plan, control variables and runoff control rate baseline into the iterative optimization model; the control variables include LID facility type, spatial layout location and area.

[0059] In S203, the iterative optimization model includes a planning area rainfall condition environment setting module, a planning area LID initialization module, a planning area LID facility layout module and a LID facility optimization module.

[0060] Specifically, the rainfall condition environment setting module of the planning area can combine the climate characteristics of the planning area and use the Chicago rain pattern generator to simulate rainfall condition parameters such as rainfall duration and rainfall amount under rainfall conditions of a certain return period.

[0061] The planning area LID initialization module can receive the basic information of the initial LID facility plan in S1, remove the erroneous and redundant data, and rasterize the planning area to convert the current LID facilities into a spatial two-dimensional grid composed of several grids.

[0062] The planning area LID facility layout module is used to layout various types of LID facilities such as green space, permeable pavement, green roof, bioretention pond, reservoir, rainwater irrigation, wet pond, rainwater wetland, rainwater garden, etc. into different grids, set the layout area as a control variable, and form different LID facility layout plans, providing a basis for forming the initial population in the subsequent optimization algorithm.

[0063] The LID facility optimization module is used to call the optimization algorithm to optimize the initial LID facility plan. The specific working process of the LID facility optimization module can refer to S204 and S205 below.

[0064] S204. The iterative optimization model uses the ratio of the runoff control rate of the LID facility to the construction cost as the objective function, and determines the candidate solutions for the LID facility through the optimization algorithm.

[0065] The optimization goal of this application is to reduce the construction cost of LID facilities as much as possible on the basis of improving the runoff control benefits of LID facilities. Therefore, the "benefit / cost" ratio μ is set as the objective function, and its value is the ratio of the runoff control benefits of LID facilities to the construction cost. The "benefit / cost" ratio μ represents the runoff control rate that can be achieved under unit input cost. It reflects from one perspective the "cost" of LID facilities that need to be invested under certain "benefit" conditions.

[0066] Specifically, this application uses the unit cost method to calculate the total construction cost of LID facilities based on the area of ​​each type of LID facility and the unit price of green space, permeable pavement, green roof, bioretention pond, reservoir, rainwater irrigation, wet pond, rainwater wetland, and rainwater garden, and finds the minimum value of the construction cost. The expression of construction cost is:

[0067]

[0068] in, For construction costs, n The total number of LID facility types that can be deployed in the planning area; for j Type LID installation on grid i The construction cost per square meter (yuan); for j Type LID installation on grid i The construction area (m2) in.

[0069] In addition, this application uses the runoff control rate to represent the waterlogging control benefit, and seeks the maximum value of the runoff control rate. The expression of runoff control benefit is:

[0070]

[0071] in, For runoff control benefits, It is the runoff control rate in the planning area after the LID facilities are laid out.

[0072] In S204, the constraints are divided into objective function constraints and LID facility control variable constraints. Among them, the objective function constraint is that the layout of LID facilities in the planning area needs to meet the bottom line of the runoff control rate in the planning area, that is, the bottom line of the runoff control rate of LID facilities in the planning area obtained in S201. In addition, since the types, spatial layout positions and areas of LID facilities are subject to the underlying surface environment of each grid, the areas of various types of LID facilities must be set as control variable constraints based on the "Technical Guidelines for Sponge City Construction" of the planning area, LID engineering practical experience and specific proportions of various types of underlying surfaces in each grid.

[0073] In S204, the specific optimization process is:

[0074] The “Construction Cost-Runoff Control Benefit” iterative optimization engine was built using the programming language Grasshopper combined with the Wallacei plug-in. The iterative optimization engine will calculate each optimization objective function based on the area and spatial layout variables of each type of LID facility, and Figure 2 As shown, the optimization is completed by the non-dominated sorting genetic (NSGA-II) algorithm. Figure 2 In, P t is the t-th generation population; P t+1 is the t+1 generation population; Q t is the population of the tth generation after crossover and mutation; P t +Q t is the t-th generation mixed population; N is the population size; Z1 and Z2 are the sets of individuals with high non-dominated rankings in the t-th generation mixed population, and all individuals can directly enter the t+1 generation; Z3 is the set of individuals with medium non-dominated rankings in the t-th generation mixed population, and some of them can enter the t+1 generation. It is necessary to sort the individuals in Z3 by crowding degree, and those with higher rankings enter the t+1 generation to ensure that the number of individuals in the Z1+Z2+Z3 set entering the next generation is N. In addition, the construction cost can be calculated directly in Grasshopper, and the runoff control benefit needs to be calculated by calling the SWMM calculation engine after model calibration.

[0075] The calibration method of the SWMM model is to simulate the runoff value of the key waterlogging point under a certain return period rainfall condition in the planning area, and repeatedly adjust the relevant model parameters such as the roughness until the degree of agreement between the simulated value and the measured runoff value under the same conditions meets the requirements.

[0076] like Figure 3 As shown in the figure, G is the number of model iterations, T is the maximum number of model iterations, and the specific steps of the optimization engine are as follows:

[0077] (1) The LID facility layout processed by the planning area LID initialization module and the planning area LID facility layout module is used as the initial solution population;

[0078] (2) Input the rainfall condition environment parameters processed by the planning area rainfall condition environment setting module into the calibrated SWMM model;

[0079] (3) The construction cost is calculated directly in Grasshopper based on the area and construction cost unit price of each type of LID facility;

[0080] (4) The runoff control benefits are obtained through the Python interface of SWMM after model calibration. After the LID facility control variables are input, edited, and data standard formatted, the SWMM input file (.inp) is constructed and the simulation command in SWMM is called to complete the process.

[0081] (5) Based on the rules of the non-dominated sorting genetic algorithm, the Wallacei plug-in is used to call the NSGA-II algorithm. After inputting the number of initial solution populations, the number of iterative simulations, the crossover probability, and the mutation probability, the LID facility layout schemes of the initial solution population are crossovered and mutated, and then non-dominated sorting and iterative optimization are performed. After reaching the number of iterations, the LID facility layout scheme that meets the constraints and has the smallest "efficiency / cost" ratio μ is generated as the LID facility candidate scheme.

[0082] S205: Determine whether the spatial boundary of the candidate LID facility solution is within the constructible spatial boundary.

[0083] Specifically, in order to further ensure that the spatial boundaries of the LID facility candidate solutions do not conflict with the buildable spatial boundaries of the LID facilities in the planning area obtained in S202, the ArcGIS platform is used to compare the spatial boundaries of the LID facility candidate solutions with the buildable spatial boundaries of the LID facilities in the planning area to determine whether there will be a conflict.

[0084] (1) Conflict. If the spatial boundaries of the candidate LID facility scheme conflict with the spatial boundaries of the LID facility construction area in the planning area, then based on the spatial boundaries of the candidate LID facility scheme, the spatial boundaries of various LID facilities in the planning area shall be fine-tuned until they do not conflict with the spatial boundaries of the LID facility construction area in the planning area.

[0085] (2) No conflict. If the spatial boundary of the candidate LID facility plan does not conflict with the spatial boundary of the LID facility construction area in the planning area, the candidate LID facility plan is directly selected as the optimal LID facility plan.

[0086] S3. Obtain the runoff control rate standard corresponding to the planning area, and obtain the LID facility standard plan based on the runoff control rate standard.

[0087] Specifically, the LID facility standard scheme is the corresponding scheme under the national "Technical Guidelines" for the runoff control rate standard in the planning area. The runoff control rate standard in the planning area is slightly higher than the runoff control rate bottom line in S2.

[0088] S4. Compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan and the standard LID facility plan, and determine the LID implementation plan based on the comparison results.

[0089] In S4, the current LID facilities in the planning area, the optimal plan for LID facilities, and the standard plan for LID facilities are input into the ArcGIS platform, and the spatial analysis tool is used to calculate μ 初 , μ 优 , μ 标 .μ 初 Determined comprehensively based on indicators such as initial LID facility runoff control rate and construction cost in the planning area. 优 Determined based on the runoff control rate, construction cost and other indicators of the optimal solution for LID facilities in the planning area. 标 Based on the runoff control rate of the planning area in the national "Technical Guidelines", after the corresponding optimal plan is generated by the optimization module, the runoff control rate, construction cost and other indicators of the optimal plan are comprehensively determined.

[0090] Furthermore, according to μ 初 , μ 优 , μ 标 The relative size relationship between them is analyzed to carry out multi-scenario evaluation, which provides a basis for spatial planning response. Scenarios that exist in mathematical comparison but have no practical planning significance are excluded, and the comparison results of multi-value linkage are divided into 3 scenarios and 5 planning directions.

[0091] S401. Scenario 1: If the ratio of the runoff control rate of the standard scheme of LID facilities to the construction cost is μ 标 >μ 优 , indicating that the existing buildable space boundary constraints are too strict and need to be appropriately relaxed. In this case, planning direction one is entered to adjust the buildable space boundary and re-optimize the initial LID facility plan.

[0092] S402, Scenario 2: If μ 优 >μ 标 >μ 初 , then determine whether the optimal solution of LID facilities meets the conditions of the planning area. If so, enter planning direction 2 and use the optimal solution of LID facilities as the LID implementation plan. If not, enter planning direction 3 and adjust the optimal solution of LID facilities to meet both the conditions of the planning area and μ 优 >μ 标 .

[0093] In S402, the condition of the planning area is related to the difficulty of changing the existing land use to the LID facility land. For example, the difficulty of changing the existing land use to the LID facility land can be expressed by the formula:

[0094]

[0095] Among them, D represents the difficulty of changing the existing land use to LID facility land, P1 represents the total amount of funds for building LID facilities, P2 represents the number of professional talents required, P3 represents the time required for construction, and w1, w2 and w3 are the weights corresponding to P1, P2 and P3 respectively. Furthermore, if D is less than the preset difficulty threshold, the optimal solution for LID facilities meets the conditions of the planning area.

[0096] S403, Scenario 3: If μ 初 >μ 标 , then determine whether the optimal LID facility plan meets the conditions of the planning area. If so, enter planning direction four and use the optimal LID facility plan as the LID implementation plan; if not, enter specification direction five and determine whether the runoff control rate of the initial LID facility plan meets the runoff control rate standard. If so, use the initial LID facility plan as the LID implementation plan. If not, adjust the runoff control rate bottom line and re-optimize the initial LID facility plan.

[0097] Embodiment 2:

[0098] Based on Example 1, Example 2 of the present application provides a more specific LID facility multi-scenario assessment and spatial planning response method, and is applied to District M of S City.

[0099] Specifically, the method includes:

[0100] S1. Obtain the initial LID facility plan for the planning area.

[0101] like Figure 4 As shown in the figure, the initial LID facility plan of District M in S City is mainly a system composed of rain gardens, permeable pavement, grass-planted ditches, and water storage bodies. The initial LID facility plan is modeled in the ArcGIS platform.

[0102] S2. Taking the ratio of the runoff control rate to the construction cost of the LID facility as the objective function, and optimizing the initial LID facility plan according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate, the optimal plan of the LID facility is obtained; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 .

[0103] In S2, the runoff control rate of LID facilities in zone M must be set to ≥75%. In addition, the ArcGIS platform is used to overlay the urban construction history map, construction suitability assessment map, and ecological sensitivity assessment map of the planning area to extract the boundaries of high construction suitability areas, low ecological sensitivity areas, and spaces that need to be protected and restored during the historical development of urban construction. After preliminary overlay and manual re-proofreading, the boundary range of the constructible space of LID facilities in the planning area is formed.

[0104] The process for optimizing the initial LID facility plan is:

[0105] The rainfall environment condition is set to be once in 200 years; the initial LID facility plan of District M in City S in S1 is input and converted into a spatial two-dimensional grid composed of several grids.

[0106] Different LID facility layout plans with the control variables being the area and spatial location of each type of LID facility were input into the model to form an initial plan population of 500.

[0107] After inputting the objective function, the constraint conditions of the objective function and the control variables, the number of iterations of 200, the crossover probability of 0.9, and the mutation probability of 0.1, the LID facility layout schemes of the initial scheme population were crossovered and mutated, and the NSGA-II algorithm was used for non-dominated sorting and iterative optimization. During the iteration process, the construction cost and runoff control rate of each LID facility scheme were calculated as follows: Figure 5 After 200 iterations, the LID facility layout plan with the minimum “efficiency / cost” ratio μ that meets the constraints of LID runoff control rate ≥ 75% in S city M district, rain garden area ≥ 10% of S city M district, permeable pavement ≥ 20% of S city M district, and storage water body ≥ 20% of S city M district is generated as the candidate plan for LID facilities. The layout method is as follows Figure 6 shown.

[0108] In order to further ensure that the spatial boundaries of the candidate LID facility schemes do not conflict with the spatial boundaries of the LID facilities in the planning area, the ArcGIS platform is used to compare the spatial boundaries of the candidate LID facility schemes with the spatial boundaries of the LID facilities in the planning area.

[0109] After comparison, it is found that the spatial boundary of the LID facility candidate plan does not conflict with the spatial boundary range of the LID facility constructible in the planning area, so the LID facility candidate plan is directly selected as the optimal LID facility plan.

[0110] S3. Obtain the runoff control rate standard corresponding to the planning area, and obtain the LID facility standard plan based on the runoff control rate standard.

[0111] S4. Compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan and the standard LID facility plan, and determine the LID implementation plan based on the comparison results.

[0112] Specifically, using spatial analysis tools, calculate μ 初 , μ 优 , μ 标 , we get μ 初 53% / 100 million yuan, μ 优 82% / 100 million yuan, μ 标 It is 76% / 100 million yuan.

[0113] By comparison, we can see that μ 初 <μ 标 <μ 优 In addition, the M District of S City has good conditions, rich ecological resources, and strong government support for sponge city construction. Therefore, the spatial planning directly adjusted the initial LID facility plan to the optimal LID facility plan, and compiled the spatial planning map guidelines for LID facilities at all levels from aspects such as indicators, construction land red lines, green space control green lines, and water protection area blue lines.

[0114] It should be noted that the parts in this embodiment that are the same or similar to those in Embodiment 1 can be referenced to each other and will not be described in detail in this application.

[0115] Embodiment 3:

[0116] Based on Example 1, Example 3 of the present application provides a LID facility multi-scenario assessment and spatial planning response system, such as Figure 7 As shown, including:

[0117] The first acquisition module is used to obtain an initial LID facility plan for the planning area;

[0118] The optimization module is used to optimize the initial LID facility plan based on the constructible space boundary of the LID facility and the bottom line of the runoff control rate to obtain the optimal plan of the LID facility by taking the ratio of the runoff control rate of the LID facility to the construction cost as the objective function and according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 ;

[0119] The second acquisition module is used to acquire the runoff control rate standard corresponding to the planning area, and acquire the LID facility standard plan according to the runoff control rate standard;

[0120] The comparison module is used to compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan and the standard LID facility plan, and determine the LID implementation plan based on the comparison result.

[0121] Specifically, the system provided in this embodiment is a system corresponding to the method provided in Embodiment 1. Therefore, the parts in this embodiment that are the same or similar to those in Embodiment 1 can be referenced to each other and will not be repeated in this application.

[0122] In summary, this application can solve the problem of how to achieve the maximum runoff control benefit with the minimum investment cost under the conditions of limited funds and limited space resources under certain return period rainfall conditions, and explore the LID facility space planning scheme with the minimum investment cost under the premise of meeting the runoff control rate requirements. In addition, this application explores how to propose the planning direction and optimization path of the current LID facilities under different scenarios based on the relationship between the initial LID facility scheme, the optimal scheme and the scheme corresponding to the standard.

Claims

1. A multi-scenario assessment and spatial planning response method for LID facilities, characterized in that: include: S1. Obtain the initial LID facility plan for the planning area; S2. Taking the ratio of the runoff control rate to the construction cost of the LID facility as the objective function, and optimizing the initial LID facility plan according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate, the optimal plan of the LID facility is obtained; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 ; S2 includes: S201. Determine the bottom line of runoff control rate in the planning area; S202. Determine the boundary of the constructible space for LID facilities in the planning area; S203, inputting the initial LID facility plan, control variables and runoff control rate baseline into the iterative optimization model; the control variables include LID facility type, spatial layout location and area; In S203, the iterative optimization model includes a planning area rainfall condition environment setting module, a planning area LID initialization module, a planning area LID facility layout module and a LID facility optimization module; Among them, the planning area rainfall condition environment setting module is used to simulate the rainfall condition parameters of the planning area; the planning area LID initialization module is used to receive the initial LID facility plan, and perform grid processing on the planning area, and convert the initial LID facilities into a spatial two-dimensional grid composed of several grids; the planning area LID facility layout module is used to layout various types of LID facilities into different grids; the LID facility optimization module is used to call the optimization algorithm to optimize the initial LID facility plan; S204, the iterative optimization model uses the ratio of the runoff control rate of the LID facility to the construction cost as the objective function, and determines the candidate scheme of the LID facility through an optimization algorithm; the optimization algorithm is a non-dominated sorting genetic algorithm; S205, determining whether the spatial boundary of the LID facility candidate solution is within the scope of the constructible spatial boundary, if so, taking the LID facility candidate solution as the optimal LID facility solution, if not, fine-tuning the spatial boundaries of various types of LID facilities in the LID facility candidate solution until the spatial boundary of the LID facility candidate solution is within the scope of the constructible spatial boundary; S3, obtaining a runoff control rate standard corresponding to the planning area, and obtaining a LID facility standard plan according to the runoff control rate standard; S4. compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan, and the standard LID facility plan, and determine the LID implementation plan based on the comparison results; S4 includes: S401. If the ratio of the runoff control rate of the standard scheme of LID facilities to the construction cost μ 标 >μ 优 , then adjust the buildable space boundary and re-optimize the initial LID facility plan; S402, if μ 优 >μ 标 >μ 初 , then determine whether the optimal solution of LID facilities meets the conditions of the planning area. If so, the optimal solution of LID facilities is used as the LID implementation plan. If not, adjust the optimal solution of LID facilities to meet both the conditions of the planning area and μ 优 >μ 标 ; S403, if μ 初 >μ 标 , then determine whether the optimal LID facility plan meets the conditions of the planning area. If so, the optimal LID facility plan will be used as the LID implementation plan; if not, then determine whether the runoff control rate of the initial LID facility plan meets the runoff control rate standard. If so, the initial LID facility plan will be used as the LID implementation plan. If not, adjust the runoff control rate bottom line and re-optimize the initial LID facility plan.

2. The LID facility multi-scenario assessment and spatial planning response method according to claim 1 is characterized in that: The LID facilities include green spaces, permeable paving, green roofs, bioretention ponds, reservoirs, rainwater irrigation, wet ponds, rainwater wetlands and rain gardens.

3. A multi-scenario assessment and spatial planning response system for LID facilities, characterized in that: The method for implementing the multi-scenario assessment and spatial planning response method for LID facilities according to any one of claims 1 to 2 comprises: The first acquisition module is used to obtain an initial LID facility plan for the planning area; The optimization module is used to optimize the initial LID facility plan based on the constructible space boundary of the LID facility and the bottom line of the runoff control rate to obtain the optimal plan of the LID facility by taking the ratio of the runoff control rate of the LID facility to the construction cost as the objective function and according to the constructible space boundary of the LID facility and the bottom line of the runoff control rate; the ratio of the runoff control rate to the construction cost of the optimal plan of the LID facility is μ 优 >Ratio of runoff control rate to construction cost of initial LID facility solution μ 初 ; The second acquisition module is used to acquire the runoff control rate standard corresponding to the planning area, and acquire the LID facility standard plan according to the runoff control rate standard; The comparison module is used to compare the ratio of the runoff control rate to the construction cost of the initial LID facility plan, the optimal LID facility plan and the standard LID facility plan, and determine the LID implementation plan based on the comparison result.

4. A computer storage medium, characterized in that: The computer storage medium stores a computer program; when the computer program is executed on a computer, the computer executes the LID facility multi-scenario assessment and spatial planning response method according to any one of claims 1 to 2.

5. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores computer program instructions that can be executed by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute the LID facility multi-scenario assessment and spatial planning response method as described in any one of claims 1-2.

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