A method and related device for evaluating rain flood regulation and storage efficiency

Abstract

The application discloses a rain flood regulation and storage efficiency evaluation method and related device, and relates to the technical field of data analysis, the method comprises the following steps: calculating rainfall depth based on rainfall scenario parameters of a target area; determining the first maximum water storage depth of blue space in the target area, calculating the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth; determining the second maximum water storage depth of green space in the target area based on the runoff curve method to analyze the second net water storage volume of the green space; determining the runoff volume of the impervious surface in the target area, calculating the rain flood regulation and storage efficiency index based on the runoff volume, the first net water storage volume and the second net water storage volume; comparing the rain flood regulation and storage efficiency index with a preset threshold, and determining the classification information of the rain flood regulation and storage efficiency based on the comparison result. The application avoids the calculation cost of a complex hydrological model and the excessive simplification of an empirical parameter method, and realizes efficient and accurate evaluation and classification of the urban rain flood regulation and storage efficiency.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, and in particular to a method and related apparatus for evaluating the effectiveness of rainwater and flood storage. Background Technology

[0002] With the intensification of global climate change and urbanization, extreme rainfall events are becoming more frequent, and the risk of urban flooding is increasingly prominent. Rainstorm floods refer to urban runoff formed when heavy precipitation exceeds the capacity of drainage systems. Traditional stormwater management models, centered on gray infrastructure (such as pipe networks and pumping stations), are insufficient as a single means to cope with high-intensity, sudden rainstorms, and their construction and maintenance costs are high. Against this backdrop, nature-based solutions, with sponge city construction as their practical vehicle, have gained widespread attention. The core of this solution lies in systematically and comprehensively leveraging the infiltration, retention, storage, and purification functions of blue (water bodies) and green (vegetation) spaces within and around the city for stormwater.

[0003] Scientific, accurate, and efficient assessment of the stormwater storage efficiency of urban blue-green infrastructure has become an indispensable technical prerequisite for urban water security planning and urban flooding risk prevention. However, in the technical field of stormwater storage management, existing model software or technical methods are polarized. One type is a technical method that simulates complex rainfall-runoff-confluence processes, but it requires high data accuracy, consumes large computational resources, and the results are not easy to interpret. The other type is a simplified technical method that estimates based on runoff coefficients, but it has the blind spot of homogenization and cannot accurately distinguish the differences in stormwater storage efficiency among various blue-green spatial components. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides a method and related device for evaluating stormwater storage efficiency, which avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, and achieves efficient, accurate and widely applicable evaluation and classification of urban stormwater storage efficiency.

[0005] To address the aforementioned technical problems, this invention provides a method for evaluating stormwater storage efficiency, the method comprising:

[0006] Acquire rainfall scenario parameters for the target area, and calculate rainfall depth based on the rainfall scenario parameters;

[0007] The first maximum water storage depth of the blue space in the target area is determined based on the preset planning information, and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and the rainfall depth.

[0008] The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method, and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth.

[0009] Determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater storage efficiency index based on the runoff volume, the first net water storage volume, and the second net water storage volume;

[0010] The stormwater storage efficiency index is compared with a preset threshold to obtain the comparison result, and the classification information of stormwater storage efficiency is determined based on the comparison result.

[0011] Optionally, calculating rainfall depth based on the rainfall scenario parameters includes:

[0012] Based on the rainfall scenario parameters, the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters are extracted. Then, the storm intensity is calculated based on the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters. The expression for the storm intensity is:

[0013] ,

[0014] Where q represents the intensity of the rainfall, P represents the return period, and t represents the duration of the rainfall. denoted as , b as the rainfall intensity parameter, c as the rainfall duration correction parameter, and n as the rainfall attenuation index.

[0015] The rainfall depth is calculated based on the rainfall intensity, and the expression for the rainfall depth is:

[0016] ,

[0017] in, q represents the rainfall depth, t represents the rainfall intensity, and t represents the rainfall duration.

[0018] Optionally, the expression for the first net water storage volume is:

[0019] ,

[0020] in, This is the first net water storage volume. Let J represent the area of ​​the j-th type of blue space, where j is the type of blue space. The first maximum water storage depth of the j-th type of blue space, This refers to the depth of rainfall.

[0021] Optionally, determining the second maximum water storage depth of the green space in the target area based on the runoff curve method, and analyzing the second net water storage volume of the green space based on the second maximum water storage depth, includes:

[0022] The first runoff curve number of the green space is determined based on the runoff curve method, and the first maximum potential infiltration of the soil is calculated based on the first runoff curve number.

[0023] The first initial loss is determined based on the first maximum potential infiltration of the soil, and the second maximum water storage depth of the green space in the target area is determined based on the first initial loss.

[0024] The second net water storage volume of the green space is analyzed based on the second maximum water storage depth and the rainfall depth.

[0025] Optionally, the expression for the maximum potential infiltration of the first soil is:

[0026] ,

[0027] in, This represents the maximum potential infiltration volume of the first soil layer. This represents the number of the first runoff curve;

[0028] The expression for the first initial loss is:

[0029] ,

[0030] in, This is the initial loss amount. These are the weighting coefficients. This represents the maximum potential infiltration rate of the first soil layer.

[0031] The expression for the second maximum water storage depth is:

[0032] ,

[0033] in, This is the second maximum water storage depth. This is the initial loss amount. This represents the maximum potential infiltration rate of the first soil layer.

[0034] The expression for the second net water storage volume is:

[0035] ,

[0036] in, This is the second net water storage volume. Let be the area of ​​the i-th type of green space, where i is the type of green space. This is the second maximum water storage depth. This refers to the depth of rainfall.

[0037] Optionally, determining the runoff volume of the impermeable surface in the target area and calculating the stormwater storage efficiency index based on the runoff volume, the first net storage volume, and the second net storage volume includes:

[0038] The second runoff curve number for the impermeable surface is determined based on the runoff curve method, and the second maximum potential infiltration of the soil on the impermeable surface is calculated based on the second runoff curve number. The expression for the second maximum potential infiltration of the soil is as follows:

[0039] ,

[0040] in, This represents the second largest potential infiltration volume in the soil. This is the number of the second runoff curve;

[0041] The second initial loss of the impermeable surface is determined based on the second maximum potential infiltration rate of the soil. The expression for the second initial loss is as follows:

[0042] ,

[0043] in, This is the second initial loss amount. These are the weighting coefficients. This represents the second largest potential infiltration volume in the soil.

[0044] The third maximum water storage depth of the impermeable surface is determined based on the second initial loss, and the expression for the third maximum water storage depth is:

[0045] ,

[0046] in, This is the third largest water storage depth. This is the second initial loss amount. This represents the second largest potential infiltration volume in the soil.

[0047] The runoff volume of the impermeable surface is determined based on the third maximum water storage depth and the rainfall depth, and the expression for the runoff volume is:

[0048] ,

[0049] in, For the runoff volume of the impermeable surface, The area of ​​the impermeable surface. This is the third largest water storage depth. The depth of rainfall;

[0050] The stormwater storage efficiency index is calculated based on the runoff volume, the first net storage volume, and the second net storage volume. The expression for the stormwater storage efficiency index is as follows:

[0051] ,

[0052] in, The rainwater and flood storage efficiency index This is the first net water storage volume. This is the second net water storage volume. The runoff volume is the volume of the impermeable surface.

[0053] Optionally, comparing the stormwater storage efficiency index with a preset threshold to obtain a comparison result, and determining the classification information of stormwater storage efficiency based on the comparison result, includes:

[0054] The stormwater storage efficiency index is compared with a first preset threshold and a second preset threshold. If the stormwater storage efficiency index is equal to the first preset threshold, the stormwater storage efficiency is classified as the storage efficiency overload level.

[0055] If the stormwater storage efficiency index is greater than the first preset threshold and less than the second preset threshold, then the stormwater storage efficiency will be classified as insufficient storage efficiency.

[0056] If the stormwater storage efficiency index is greater than or equal to the second preset threshold, then the stormwater storage efficiency is classified as a sufficient level.

[0057] In addition, the present invention also provides a stormwater storage efficiency assessment device, the device comprising:

[0058] Rainfall depth calculation module: used to acquire rainfall scenario parameters of the target area and calculate rainfall depth based on the rainfall scenario parameters;

[0059] First volume calculation module: used to determine the first maximum water storage depth of the blue space in the target area based on preset planning information, and to calculate the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth;

[0060] The second volume calculation module is used to determine the second maximum water storage depth of the green space in the target area based on the runoff curve method, and to analyze the second net water storage volume of the green space based on the second maximum water storage depth.

[0061] Efficiency Index Determination Module: Used to determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater regulation efficiency index based on the runoff volume, the first net water storage volume, and the second net water storage volume;

[0062] The grading module is used to compare the stormwater storage efficiency index with a preset threshold, obtain the comparison result, and determine the grading information of stormwater storage efficiency based on the comparison result.

[0063] In addition, the present invention also provides an electronic device, which includes a processor and a memory. The memory is used to store instructions, and the processor is used to call the instructions in the memory to cause the electronic device to execute the above-described stormwater storage efficiency evaluation method.

[0064] In addition, the present invention also provides a computer-readable storage medium that stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the above-described stormwater storage efficiency evaluation method.

[0065] In this embodiment of the invention, rainfall depth is calculated based on rainfall scenario parameters; the first maximum water storage depth of the blue space in the target area is determined based on preset planning information; and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and rainfall depth, thus solving the systematic bias caused by parameter mismatch in the prior art. The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method; and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth, improving the accuracy of the net water storage volume analysis of the green space. The runoff volume of the impermeable surface in the target area is determined; and the stormwater storage efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume, achieving a precise characterization of the blue-green space storage mechanism. The stormwater storage efficiency index is compared with a preset threshold; and the classification information of stormwater storage efficiency is determined based on the comparison results. This avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, achieving efficient, accurate, and widely applicable urban stormwater storage efficiency assessment and classification. Attached Figure Description

[0066] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0067] Figure 1 This is a flowchart illustrating the stormwater storage efficiency evaluation method in an embodiment of the present invention.

[0068] Figure 2 This is a flowchart illustrating the stormwater storage efficiency evaluation method in another embodiment of the present invention;

[0069] Figure 3 This is a schematic diagram of the structural composition of the stormwater storage efficiency evaluation device in an embodiment of the present invention;

[0070] Figure 4 This is a schematic diagram of the structural composition of the electronic device in an embodiment of the present invention;

[0071] Figure 5 This is a diagram illustrating the graded effect of stormwater regulation efficiency in the study area according to an embodiment of the present invention. Detailed Implementation

[0072] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0073] Example 1

[0074] Please see Figure 1 , Figure 1 This is a flowchart illustrating the stormwater storage efficiency assessment method in an embodiment of the present invention. The method includes:

[0075] S11: Obtain rainfall scenario parameters for the target area, and calculate rainfall depth based on the rainfall scenario parameters;

[0076] In the specific implementation of this invention, rainfall scenario parameters of the target area are obtained, and the return period, rainfall duration, rainfall intensity parameters, rainfall history correction parameters, rainfall intensity variation parameters, and rainstorm attenuation parameters are extracted based on the rainfall scenario parameters. The rainstorm intensity is calculated based on the return period, rainfall duration, rainfall intensity parameters, rainfall history correction parameters, rainfall intensity variation parameters, and rainstorm attenuation parameters, and the rainfall depth is calculated based on the rainstorm intensity. This improves the accuracy of rainfall depth calculation and provides data support for the subsequent calculation of net water storage volume.

[0077] S12: Determine the first maximum water storage depth of the blue space in the target area based on the preset planning information, and calculate the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth;

[0078] In the specific implementation of this invention, the first maximum water storage depth of the blue space in the target area is determined based on the preset planning information, and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and the rainfall depth, thereby improving the calculation accuracy of the first net water storage volume.

[0079] S13: Determine the second maximum water storage depth of the green space in the target area based on the runoff curve method, and analyze the second net water storage volume of the green space based on the second maximum water storage depth;

[0080] In the specific implementation of this invention, the first runoff curve number of the green space is determined based on the runoff curve method, and the first maximum potential infiltration of the soil is calculated based on the first runoff curve number; the first initial loss is determined based on the first maximum potential infiltration of the soil, and the second maximum water storage depth of the green space in the target area is determined based on the first initial loss; the second net water storage volume of the green space is analyzed based on the second maximum water storage depth and the rainfall depth, thereby improving the reliability of the calculation of the second net water storage volume.

[0081] S14: Determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater storage efficiency index based on the runoff volume, the first net water storage volume, and the second net water storage volume;

[0082] In the specific implementation of this invention, the second runoff curve number of the impermeable surface is determined based on the runoff curve method, and the second maximum potential infiltration of the soil on the impermeable surface is calculated based on the second runoff curve number. The second initial loss of the impermeable surface is determined based on the second maximum potential infiltration of the soil, and the third maximum water storage depth of the impermeable surface is determined based on the second initial loss. The runoff volume of the impermeable surface is determined based on the third maximum water storage depth and the rainfall depth. The stormwater storage efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume. The storage efficiency is estimated according to the water storage depth differentiated by blue space type. This solves the deviation in the overall stormwater storage efficiency assessment results of blue-green infrastructure (BGI) caused by the distortion of the runoff curve number (CN) value. From the method principle, it corrects the systematic deviation caused by parameter mismatch in the existing technology. A differentiated assessment model that distinguishes between blue storage and green regulation is established. From the method principle, it realizes the accurate characterization of the blue-green space regulation mechanism and achieves the separation and refined assessment of their respective regulation contributions.

[0083] S15: Compare the stormwater storage efficiency index with a preset threshold to obtain the comparison result, and determine the classification information of stormwater storage efficiency based on the comparison result.

[0084] In the specific implementation of this invention, the stormwater storage efficiency index is compared with a first preset threshold and a second preset threshold. If the stormwater storage efficiency index is equal to the first preset threshold, the stormwater storage efficiency is classified as an overload level. If the stormwater storage efficiency index is greater than the first preset threshold but less than the second preset threshold, the stormwater storage efficiency is classified as an insufficient level. If the stormwater storage efficiency index is greater than or equal to the second preset threshold, the stormwater storage efficiency is classified as a sufficient level. This avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, achieving efficient, accurate, and widely applicable urban BGI stormwater storage efficiency assessment and classification.

[0085] In this embodiment of the invention, rainfall depth is calculated based on rainfall scenario parameters; the first maximum water storage depth of the blue space in the target area is determined based on preset planning information; and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and rainfall depth, thus solving the systematic bias caused by parameter mismatch in the prior art. The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method; and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth, improving the accuracy of the net water storage volume analysis of the green space. The runoff volume of the impermeable surface in the target area is determined; and the stormwater storage efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume, achieving a precise characterization of the blue-green space storage mechanism. The stormwater storage efficiency index is compared with a preset threshold; and the classification information of stormwater storage efficiency is determined based on the comparison results. This avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, achieving efficient, accurate, and widely applicable urban stormwater storage efficiency assessment and classification.

[0086] Example 2

[0087] Please see Figure 2 , Figure 2 This is a flowchart illustrating a method for evaluating stormwater storage efficiency according to another embodiment of the present invention, the method comprising:

[0088] S201: Obtain rainfall scenario parameters for the target area, and calculate rainfall depth based on the rainfall scenario parameters;

[0089] In a specific implementation of this invention, calculating rainfall depth based on the rainfall scenario parameters includes: extracting the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and rainstorm attenuation parameters based on the rainfall scenario parameters; and calculating the rainstorm intensity based on the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and rainstorm attenuation parameters. The expression for the rainstorm intensity is:

[0090] ,

[0091] Where q represents the intensity of the rainfall, P represents the return period, and t represents the duration of the rainfall. denoted as , b as the rainfall intensity parameter, c as the rainfall duration correction parameter, and n as the rainfall attenuation index.

[0092] The rainfall depth is calculated based on the rainfall intensity, and the expression for the rainfall depth is:

[0093] ,

[0094] in, q represents the rainfall depth, t represents the rainfall intensity, and t represents the rainfall duration.

[0095] Specifically, rainfall scenario parameters for the target area are obtained. The target area can be the catchment area of ​​the study area. The rainfall scenario parameters are the relevant parameters during the rainfall scenario, such as return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters. Based on the rainfall scenario parameters, the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters are extracted. Then, based on the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters, the storm intensity is calculated. The expression for the storm intensity is:

[0096] ,

[0097] Where q represents the intensity of the rainfall, P represents the return period, and t represents the duration of the rainfall. denoted as , b as , and c as , where is the rainfall intensity parameter, is the rainfall duration correction parameter, is the rainfall intensity variation parameter, and n is the rainstorm attenuation index. The rainfall intensity parameter is the design rainfall (mm) per minute with a return period of 1 year. The rainfall duration correction parameter is a time parameter (min) that makes the curve a straight line after taking the logarithm of both sides of the rainstorm intensity formula. The rainstorm attenuation index is related to the return period.

[0098] The rainfall depth is calculated based on the rainfall intensity, and the expression for the rainfall depth is:

[0099] ,

[0100] in, q represents the rainfall depth, t represents the rainfall intensity, and t represents the rainfall duration.

[0101] S202: Determine the first maximum water storage depth of the blue space in the target area based on the preset planning information, and calculate the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth;

[0102] In the specific implementation of this invention, the expression for the first net water storage volume is:

[0103] ,

[0104] in, This is the first net water storage volume. Let J represent the area of ​​the j-th type of blue space, where j is the type of blue space. The first maximum water storage depth of the j-th type of blue space, This refers to the depth of rainfall.

[0105] Specifically, based on pre-defined planning information, the first maximum water storage depth of the blue space in the target area is determined. For different types of blue spaces in the area, the maximum water storage depth for each type is determined by referring to planning specifications, engineering data, and research literature. The specific process for determining the parameters is as follows: ① If the water storage depth of this type of blue space is clearly defined by local planning or design specifications, it is adopted and determined as... Otherwise, proceed to step ②; ② If this type of blue space belongs to water bodies such as rivers and lakes subject to flood control and dispatch management, the safe water level difference determined by the water resources department shall be used. Otherwise, proceed to step ③; ③ If there is empirical literature in this region indicating a recommended water storage depth for this type of blue space, adopt and confirm it as such. Otherwise, proceed to step ④; ④ When the above three methods fail to determine the water storage depth of the blue space type, the elevation difference of the blue space boundary range can be estimated based on the average value of similar facilities in the region or through topographical characteristics, and then adopted and determined as... .

[0106] The first net water storage volume of the blue space is calculated based on the first maximum water storage depth and the rainfall depth. The expression for the first net water storage volume is:

[0107] ,

[0108] in, This is the first net water storage volume. Let J represent the area of ​​the j-th type of blue space, where j is the type of blue space. The first maximum water storage depth of the j-th type of blue space, This refers to the depth of rainfall.

[0109] S203: Determine the first runoff curve number of the green space based on the runoff curve method, and calculate the first maximum potential infiltration of the soil based on the first runoff curve number;

[0110] In the specific implementation of this invention, the first runoff curve number of the green space is determined based on the runoff curve method. The runoff curve method comprehensively reflects the runoff generation characteristics of a specific underlying surface (such as soil type, land use, vegetation cover, soil moisture, etc.) through a single runoff curve number. The CN value is a dimensionless parameter ranging from 0 to 100; a larger value indicates a stronger runoff generation capacity and weaker infiltration capacity of the underlying surface. Green spaces and blue spaces have significantly different underlying surface characteristics. The former is soil, and its role in urban stormwater mitigation focuses on "regulation"; the latter is water, and its role in urban stormwater mitigation focuses on "storage." Based on the first runoff curve number, the first maximum potential infiltration amount of the soil is calculated. The expression for the first maximum potential infiltration amount of the soil is:

[0111] ,

[0112] in, This represents the maximum potential infiltration volume of the first soil layer. This represents the first runoff curve number. Maximum potential soil infiltration characterizes the maximum water storage capacity of the soil in a green space under ideal conditions.

[0113] S204: Determine the first initial loss amount based on the first maximum potential infiltration amount of the soil, and determine the second maximum water storage depth of the green space in the target area based on the first initial loss amount;

[0114] In the specific implementation of this invention, the first initial loss is determined based on the first maximum potential infiltration of the soil, and the expression for the first initial loss is:

[0115] ,

[0116] in, This is the initial loss amount. These are the weighting coefficients. This represents the maximum potential infiltration rate in the soil. Runoff only occurs after initial rainfall losses, including plant interception, water storage in depressions, and initial infiltration. Initial losses are typically proportional to the maximum potential infiltration rate.

[0117] The maximum water storage depth of green space is calculated by treating the green space as a water storage container. Its theoretical maximum water storage depth represents the total amount of water it can hold before runoff occurs, directly reflecting the consideration of total rainfall loss in the runoff curve number method. This depth equals the sum of the initial loss and the maximum potential infiltration of the soil. Based on the first initial loss, the second maximum water storage depth of the green space in the target area is determined. The expression for the second maximum water storage depth is:

[0118] ,

[0119] in, This is the second maximum water storage depth. This is the initial loss amount. This represents the maximum potential infiltration rate of the first soil layer.

[0120] S205: Analyze the second net water storage volume of the green space based on the second maximum water storage depth and rainfall depth;

[0121] In the specific implementation of this invention, the second net water storage volume of the green space is analyzed based on the second maximum water storage depth and rainfall depth, and the net water storage volume of the green space within the catchment area is calculated. The net water storage depth of the green space is the difference between its maximum water storage depth and the rainfall. The total net water storage volume within the catchment area is obtained by summing the net water storage depths of various types of green spaces by area weighting. The expression for the second net water storage volume is:

[0122] ,

[0123] in, This is the second net water storage volume. Let be the area of ​​the i-th type of green space, where i is the type of green space. This is the second maximum water storage depth. This refers to the depth of rainfall.

[0124] S206: Determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater storage efficiency index based on the runoff volume, the first net water storage volume, and the second net water storage volume;

[0125] In the specific implementation of this invention, the runoff volume of the impermeable surface in the target area is determined, and the stormwater regulation efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume. This includes: determining the second runoff curve number of the impermeable surface based on the runoff curve method, and calculating the second maximum potential infiltration of the soil on the impermeable surface based on the second runoff curve number. The expression for the second maximum potential infiltration of the soil is:

[0126] ,

[0127] in, This represents the second largest potential infiltration volume in the soil. This is the number of the second runoff curve;

[0128] The second initial loss of the impermeable surface is determined based on the second maximum potential infiltration rate of the soil. The expression for the second initial loss is as follows:

[0129] ,

[0130] in, This is the second initial loss amount. These are the weighting coefficients. This represents the second largest potential infiltration volume in the soil.

[0131] The third maximum water storage depth of the impermeable surface is determined based on the second initial loss, and the expression for the third maximum water storage depth is:

[0132] ,

[0133] in, This is the third largest water storage depth. This is the second initial loss amount. This represents the second largest potential infiltration volume in the soil.

[0134] The runoff volume of the impermeable surface is determined based on the third maximum water storage depth and the rainfall depth, and the expression for the runoff volume is:

[0135] ,

[0136] in, For the runoff volume of the impermeable surface, The area of ​​the impermeable surface. This is the third largest water storage depth. The depth of rainfall;

[0137] The stormwater storage efficiency index is calculated based on the runoff volume, the first net storage volume, and the second net storage volume. The expression for the stormwater storage efficiency index is as follows:

[0138] ,

[0139] in, The rainwater and flood storage efficiency index This is the first net water storage volume. This is the second net water storage volume. The runoff volume is the volume of the impermeable surface.

[0140] Specifically, for impermeable surfaces, the maximum water storage depth is usually very small, and its inclusion in the calculation should be determined based on the actual conditions of the area. If included, the runoff curve method is used to calculate the maximum water storage depth based on the infiltration capacity of the impermeable surface, and the runoff volume of the impermeable surface is also calculated. Based on the runoff curve method, the second runoff curve number of the impermeable surface is determined, and the second maximum potential infiltration volume of the soil is calculated based on the second runoff curve number. The expression for the second maximum potential infiltration volume of the soil is:

[0141] ,

[0142] in, This represents the second largest potential infiltration volume in the soil. This is the number of the second runoff curve.

[0143] The second initial loss of the impermeable surface is determined based on the second maximum potential infiltration rate of the soil. The expression for the second initial loss is as follows:

[0144] ,

[0145] in, This is the second initial loss amount. These are the weighting coefficients. This represents the second maximum potential infiltration rate in the soil. λ is set to a default value of 0.2 or can be determined based on actual conditions. Runoff will only occur after initial rainfall losses, including plant interception, water storage in depressions, and initial infiltration, have been accounted for. Initial losses are usually proportional to the maximum potential infiltration rate.

[0146] The third maximum water storage depth of the impermeable surface is determined based on the second initial loss, and the expression for the third maximum water storage depth is:

[0147] ,

[0148] in, This is the third largest water storage depth. This is the second initial loss amount. This represents the second largest potential infiltration rate in the soil.

[0149] The runoff volume of the impermeable surface is determined based on the third maximum water storage depth and the rainfall depth, and the expression for the runoff volume is:

[0150] ,

[0151] in, For the runoff volume of the impermeable surface, The area of ​​the impermeable surface. This is the third largest water storage depth. This refers to the depth of rainfall.

[0152] Based on the runoff volume, the first net storage volume, and the second net storage volume, a stormwater storage efficiency index is calculated. Taking the catchment area as a unit, a stormwater storage efficiency index is designed, representing the carrying capacity ratio of the net storage volume of the BGI to the impervious surface runoff. The expression for the stormwater storage efficiency index is as follows:

[0153] ,

[0154] in, The rainwater and flood storage efficiency index This is the first net water storage volume. This is the second net water storage volume. This refers to the runoff volume of the impermeable surface. It should be noted that when the design rainfall exceeds the BGI's maximum storage capacity (i.e.,...) , The sum is negative), through the numerator of the formula ( Set the value to 0 to avoid negative values. The theoretical range of is [0, +∞), representing the carrying capacity ratio of BGI for impervious surface runoff. Considering the emphasis on "storage" in blue spaces, a water storage calculation model based on their geometric and hydrological characteristics (such as design water depth and effective storage capacity) is constructed; considering the emphasis on "regulation" in green spaces, a water storage depth calculation model based on infiltration capacity (CN value) is retained or improved. This achieves a precise representation of the water storage mechanism in blue and green spaces in terms of methodology and principles.

[0155] S207: Compare the stormwater storage efficiency index with a preset threshold to obtain a comparison result, and determine the classification information of stormwater storage efficiency based on the comparison result.

[0156] In a specific implementation of this invention, comparing the stormwater storage efficiency index with a preset threshold to obtain a comparison result, and determining the classification information of stormwater storage efficiency based on the comparison result, includes: comparing the stormwater storage efficiency index with a first preset threshold and a second preset threshold; if the stormwater storage efficiency index is equal to the first preset threshold, the classification of stormwater storage efficiency is determined as an overload level; if the stormwater storage efficiency index is greater than the first preset threshold and less than the second preset threshold, the classification of stormwater storage efficiency is determined as an insufficient level; if the stormwater storage efficiency index is greater than or equal to the second preset threshold, the classification of stormwater storage efficiency is determined as a sufficient level.

[0157] Specifically, the stormwater storage efficiency index is compared with a first preset threshold and a second preset threshold. The first preset threshold can be set to 0, and the second preset threshold can be set to 1. If the stormwater storage efficiency index equals the first preset threshold, the stormwater storage efficiency is classified as an overload level. At this point, the current design rainfall has equaled or exceeded the maximum water storage capacity of the BGI (Boundary Geological Regulator). The catchment area can no longer accommodate surface runoff from impervious surfaces using the existing BGI; all subsequent rainfall (or any excess) will be converted into runoff, resulting in a high risk of flooding. This is marked as "overloaded water storage capacity."

[0158] If the stormwater storage efficiency index is greater than a first preset threshold but less than a second preset threshold, then the stormwater storage efficiency is classified as insufficient. At this time, the net storage capacity of the BGI is less than the total runoff generated by the impervious surface. The catchment area has some regulation capacity, but it is insufficient to completely absorb the runoff generated by the impervious surface. The risk of waterlogging still exists, but the BGI plays a certain role in reducing peak flow. It is marked as "insufficient regulation capacity".

[0159] If the stormwater storage efficiency index is greater than or equal to the second preset threshold, then the stormwater storage efficiency level is determined to be sufficient. At this time, the net storage capacity of the BGI is greater than or equal to the total runoff generated by the impervious surface. The BGI in the catchment area can absorb surface runoff and has surplus capacity. It is marked as having "sufficient storage capacity".

[0160] The graded effect diagram of the stormwater storage efficiency in the study area is shown below. Figure 5 As shown, among the 497 water catchment areas in the region, 35 have overloaded water storage capacity, accounting for 7.04%; and 281 have insufficient water storage capacity. The average value is 0.2644, accounting for 56.54%; 181 areas have sufficient stormwater storage capacity, accounting for 36.42%. Catchments with overloaded or insufficient stormwater storage capacity are concentrated in areas with high-density buildings in the old city. These catchments have low stormwater storage capacity provided by their basic environmental quality (BGI), requiring systematic and efficient drainage facilities, and BGI should be increased according to local conditions. Areas with sufficient stormwater storage capacity are located in the outer areas. These areas have ample blue and green spaces, and effective stormwater storage can be achieved without expanding gray infrastructure; these areas must be protected in urban development.

[0161] In this embodiment of the invention, rainfall depth is calculated based on rainfall scenario parameters; the first maximum water storage depth of the blue space in the target area is determined based on preset planning information; and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and rainfall depth, thus solving the systematic bias caused by parameter mismatch in the prior art. The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method; and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth, improving the accuracy of the net water storage volume analysis of the green space. The runoff volume of the impermeable surface in the target area is determined; and the stormwater storage efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume, achieving a precise characterization of the blue-green space storage mechanism. The stormwater storage efficiency index is compared with a preset threshold; and the classification information of stormwater storage efficiency is determined based on the comparison results. This avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, achieving efficient, accurate, and widely applicable urban stormwater storage efficiency assessment and classification.

[0162] Example 3

[0163] Please see Figure 3 , Figure 3 This is a schematic diagram of the structural composition of the stormwater storage efficiency assessment device in an embodiment of the present invention. The device includes:

[0164] Rainfall depth calculation module 31: used to acquire rainfall scenario parameters of the target area and calculate rainfall depth based on the rainfall scenario parameters;

[0165] First volume calculation module 32: used to determine the first maximum water storage depth of the blue space in the target area based on preset planning information, and to calculate the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth;

[0166] Second volume calculation module 33: used to determine the second maximum water storage depth of the green space in the target area based on the runoff curve method, and to analyze the second net water storage volume of the green space based on the second maximum water storage depth;

[0167] Efficiency Index Determination Module 34: Used to determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater regulation efficiency index based on the runoff volume, the first net water storage volume and the second net water storage volume;

[0168] The grading module 35 is used to compare the stormwater storage efficiency index with a preset threshold, obtain the comparison result, and determine the grading information of stormwater storage efficiency based on the comparison result.

[0169] In the specific implementation of this invention, the specific implementation of the device item can be referred to the implementation of the method item above, and will not be repeated here.

[0170] In this embodiment of the invention, rainfall depth is calculated based on rainfall scenario parameters; the first maximum water storage depth of the blue space in the target area is determined based on preset planning information; and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and rainfall depth, thus solving the systematic bias caused by parameter mismatch in the prior art. The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method; and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth, improving the accuracy of the net water storage volume analysis of the green space. The runoff volume of the impermeable surface in the target area is determined; and the stormwater storage efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume, achieving a precise characterization of the blue-green space storage mechanism. The stormwater storage efficiency index is compared with a preset threshold; and the classification information of stormwater storage efficiency is determined based on the comparison results. This avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, achieving efficient, accurate, and widely applicable urban stormwater storage efficiency assessment and classification.

[0171] This invention provides a computer-readable storage medium storing a computer program. When executed by a processor, this program implements the stormwater regulation efficiency evaluation method of any of the above embodiments. The computer-readable storage medium includes, but is not limited to, any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory), RAM (Random Access Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic cards, or optical cards. In other words, the storage device includes any medium that can store or transmit information in a readable form by a device (e.g., a computer, a mobile phone), and can be a read-only memory, a disk, or an optical disk, etc.

[0172] Example 4

[0173] Please see Figure 4 , Figure 4 This is a schematic diagram of the structural composition of the electronic device in an embodiment of the present invention.

[0174] This invention also provides an electronic device, such as... Figure 4 As shown, the electronic device includes a memory 41, a processor 43, and a computer program 42 stored in the memory 41 and executable on the processor 43. Those skilled in the art will understand that... Figure 4The illustrated electronic device does not constitute a limitation on all devices and may include more or fewer components than illustrated, or combine certain components. Memory 41 can be used to store computer program 42 and various functional modules. Processor 43 runs the computer program 42 stored in memory 41, thereby performing various functional applications and data processing of the device. Memory can be internal memory or external memory, or both. Internal memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or random access memory. External memory may include hard disks, floppy disks, ZIP disks, USB flash drives, magnetic tapes, etc. Processor 43 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, a single-chip microcomputer, or a processor 43, or any conventional processor, etc. The processors and memories disclosed in this invention include, but are not limited to, these types of processors and memories. The processors and memories disclosed in this invention are merely examples and not intended to be limiting.

[0175] As one embodiment, the electronic device includes: one or more processors 43, a memory 41, and one or more computer programs 42, wherein the one or more computer programs 42 are stored in the memory 41 and configured to be executed by the one or more processors 43, and the one or more computer programs 42 are configured to perform the stormwater storage efficiency evaluation method in any of the above embodiments. For the specific implementation process, please refer to the above embodiments, which will not be repeated here.

[0176] In this embodiment of the invention, rainfall depth is calculated based on rainfall scenario parameters; the first maximum water storage depth of the blue space in the target area is determined based on preset planning information; and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and rainfall depth, thus solving the systematic bias caused by parameter mismatch in the prior art. The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method; and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth, improving the accuracy of the net water storage volume analysis of the green space. The runoff volume of the impermeable surface in the target area is determined; and the stormwater storage efficiency index is calculated based on the runoff volume, the first net water storage volume, and the second net water storage volume, achieving a precise characterization of the blue-green space storage mechanism. The stormwater storage efficiency index is compared with a preset threshold; and the classification information of stormwater storage efficiency is determined based on the comparison results. This avoids the computational cost of complex hydrological models and the oversimplification of empirical parameter methods, achieving efficient, accurate, and widely applicable urban stormwater storage efficiency assessment and classification.

[0177] Furthermore, the above provides a detailed description of the stormwater storage efficiency assessment method and related apparatus provided by the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for evaluating the effectiveness of rainwater storage and regulation, characterized in that, The method includes: Acquire rainfall scenario parameters for the target area, and calculate rainfall depth based on the rainfall scenario parameters; The first maximum water storage depth of the blue space in the target area is determined based on the preset planning information, and the first net water storage volume of the blue space is calculated based on the first maximum water storage depth and the rainfall depth. The second maximum water storage depth of the green space in the target area is determined based on the runoff curve method, and the second net water storage volume of the green space is analyzed based on the second maximum water storage depth. Determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater storage efficiency index based on the runoff volume, the first net water storage volume, and the second net water storage volume; The stormwater storage efficiency index is compared with a preset threshold to obtain the comparison result, and the classification information of stormwater storage efficiency is determined based on the comparison result. The determination of the runoff volume of the impermeable surface in the target area, and the calculation of the stormwater storage efficiency index based on the runoff volume, the first net storage volume, and the second net storage volume, includes: The second runoff curve number for the impermeable surface is determined based on the runoff curve method, and the second maximum potential infiltration of the soil on the impermeable surface is calculated based on the second runoff curve number. The expression for the second maximum potential infiltration of the soil is as follows: ， in, This represents the second largest potential infiltration volume in the soil. This is the number of the second runoff curve; The second initial loss of the impermeable surface is determined based on the second maximum potential infiltration rate of the soil. The expression for the second initial loss is as follows: ， in, This is the second initial loss amount. These are the weighting coefficients. This represents the second largest potential infiltration volume in the soil. The third maximum water storage depth of the impermeable surface is determined based on the second initial loss, and the expression for the third maximum water storage depth is: ， in, This is the third largest water storage depth. This is the second initial loss amount. This represents the second largest potential infiltration volume in the soil. The runoff volume of the impermeable surface is determined based on the third maximum water storage depth and the rainfall depth, and the expression for the runoff volume is: ， in, For the runoff volume of the impermeable surface, The area of ​​the impermeable surface. This is the third largest water storage depth. The depth of rainfall; The stormwater storage efficiency index is calculated based on the runoff volume, the first net storage volume, and the second net storage volume. The expression for the stormwater storage efficiency index is as follows: ， in, The rainwater and flood storage efficiency index This is the first net water storage volume. This is the second net water storage volume. The runoff volume is the volume of the impermeable surface.

2. The method for evaluating stormwater storage efficiency according to claim 1, characterized in that, The calculation of rainfall depth based on the rainfall scenario parameters includes: Based on the rainfall scenario parameters, the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters are extracted. Then, the storm intensity is calculated based on the return period, rainfall duration, rainfall intensity parameters, historical rainfall correction parameters, rainfall intensity variation parameters, and storm attenuation parameters. The expression for the storm intensity is: ， Where q represents the intensity of the rainfall, P represents the return period, and t represents the duration of the rainfall. denoted as , b as the rainfall intensity parameter, c as the rainfall duration correction parameter, and n as the rainfall attenuation index. The rainfall depth is calculated based on the rainfall intensity, and the expression for the rainfall depth is: ， in, q represents the rainfall depth, t represents the rainfall intensity, and t represents the rainfall duration.

3. The method for evaluating stormwater storage efficiency according to claim 1, characterized in that, The expression for the first net water storage volume is: ， in, This is the first net water storage volume. Let J represent the area of ​​the j-th type of blue space, where j is the type of blue space. The first maximum water storage depth of the j-th type of blue space, This refers to the depth of rainfall.

4. The method for evaluating stormwater storage efficiency according to claim 1, characterized in that, The determination of the second maximum water storage depth of the green space in the target area based on the runoff curve method, and the analysis of the second net water storage volume of the green space based on the second maximum water storage depth, includes: The first runoff curve number of the green space is determined based on the runoff curve method, and the first maximum potential infiltration of the soil is calculated based on the first runoff curve number. The first initial loss is determined based on the first maximum potential infiltration of the soil, and the second maximum water storage depth of the green space in the target area is determined based on the first initial loss. The second net water storage volume of the green space is analyzed based on the second maximum water storage depth and the rainfall depth.

5. The method for evaluating stormwater storage efficiency according to claim 4, characterized in that, The expression for the maximum potential infiltration of the first soil layer is: ， in, This represents the maximum potential infiltration volume of the first soil layer. This represents the number of the first runoff curve; The expression for the first initial loss is: ， in, This is the initial loss amount. These are the weighting coefficients. This represents the maximum potential infiltration rate of the first soil layer. The expression for the second maximum water storage depth is: ， in, This is the second maximum water storage depth. This is the initial loss amount. This represents the maximum potential infiltration rate of the first soil layer. The expression for the second net water storage volume is: ， in, This is the second net water storage volume. Let be the area of ​​the i-th type of green space, where i is the type of green space. This is the second maximum water storage depth. This refers to the depth of rainfall.

6. The method for evaluating stormwater storage efficiency according to claim 1, characterized in that, The step of comparing the stormwater storage efficiency index with a preset threshold to obtain a comparison result, and determining the classification information of stormwater storage efficiency based on the comparison result, includes: The stormwater storage efficiency index is compared with a first preset threshold and a second preset threshold. If the stormwater storage efficiency index is equal to the first preset threshold, the stormwater storage efficiency is classified as the storage efficiency overload level. If the stormwater storage efficiency index is greater than the first preset threshold and less than the second preset threshold, then the stormwater storage efficiency will be classified as insufficient storage efficiency. If the stormwater storage efficiency index is greater than or equal to the second preset threshold, then the stormwater storage efficiency is classified as a sufficient level.

7. A device for evaluating the effectiveness of stormwater storage and regulation, characterized in that, The device includes: Rainfall depth calculation module: used to acquire rainfall scenario parameters of the target area and calculate rainfall depth based on the rainfall scenario parameters; First volume calculation module: used to determine the first maximum water storage depth of the blue space in the target area based on preset planning information, and to calculate the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth; The second volume calculation module is used to determine the second maximum water storage depth of the green space in the target area based on the runoff curve method, and to analyze the second net water storage volume of the green space based on the second maximum water storage depth. Efficiency Index Determination Module: Used to determine the runoff volume of the impermeable surface in the target area, and calculate the stormwater regulation efficiency index based on the runoff volume, the first net water storage volume, and the second net water storage volume; The grading module is used to compare the stormwater storage efficiency index with a preset threshold, obtain the comparison result, and determine the grading information of stormwater storage efficiency based on the comparison result. The determination of the runoff volume of the impermeable surface in the target area, and the calculation of the stormwater storage efficiency index based on the runoff volume, the first net storage volume, and the second net storage volume, includes: The second runoff curve number for the impermeable surface is determined based on the runoff curve method, and the second maximum potential infiltration of the soil on the impermeable surface is calculated based on the second runoff curve number. The expression for the second maximum potential infiltration of the soil is as follows: ， in, This represents the second largest potential infiltration volume in the soil. This is the number of the second runoff curve; The second initial loss of the impermeable surface is determined based on the second maximum potential infiltration rate of the soil. The expression for the second initial loss is as follows: ， in, This is the second initial loss amount. These are the weighting coefficients. This represents the second largest potential infiltration volume in the soil. The third maximum water storage depth of the impermeable surface is determined based on the second initial loss, and the expression for the third maximum water storage depth is: ， in, This is the third largest water storage depth. This is the second initial loss amount. This represents the second largest potential infiltration volume in the soil. The runoff volume of the impermeable surface is determined based on the third maximum water storage depth and the rainfall depth, and the expression for the runoff volume is: ， in, For the runoff volume of the impermeable surface, The area of ​​the impermeable surface. This is the third largest water storage depth. The depth of rainfall; The stormwater storage efficiency index is calculated based on the runoff volume, the first net storage volume, and the second net storage volume. The expression for the stormwater storage efficiency index is as follows: ， in, The rainwater and flood storage efficiency index This is the first net water storage volume. This is the second net water storage volume. The runoff volume is the volume of the impermeable surface.

8. An electronic device, the electronic device comprising a processor and a memory, characterized in that, The memory is used to store instructions, and the processor is used to call the instructions in the memory to cause the electronic device to execute the stormwater storage efficiency evaluation method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the stormwater storage efficiency assessment method as described in any one of claims 1 to 6.

Images