Accumulated water early warning method, system and equipment based on sponge city and medium

Abstract

The invention provides a ponding early warning method, system and device based on a sponge city and a medium, and relates to the field of ponding early warning, and the method comprises the steps: obtaining the daily rainfall of a current city in a preset time; solving the daily rainfall through a preset regional rainfall model to obtain regional rainfall; solving the regional rainfall through a preset first correlation model to obtain a first correlation information set; obtaining runoff generation parameter values of different lands in a current city and confluence information of sponge structures; solving the runoff production parameter value through a preset second correlation model to obtain a second correlation information set; solving the confluence information through a preset momentum model to obtain a confluence information set; and calculating the first associated information set, the second associated information set and the confluence information set through a preset early warning model to obtain ponding early warning information. According to the method, the relevance among rainfall, runoff production and confluence is fully considered, and sufficient early warning can be carried out on ponding.

Description

Technical Field

[0001] The present invention relates to the field of waterlogging warning, and in particular to a waterlogging warning method, system, equipment and medium based on a sponge city. Background Art

[0002] Sponge city refers to the city that makes full use of the rainwater storage and slow release functions of ecosystems such as green space and water system to achieve natural water storage, infiltration and purification. The underlying surface of the city acts as a sponge to absorb and temporarily store water. When the pressure of the drainage system is low, the water is released to play a role in peak diversion. In addition to reducing the risk of surface waterlogging, the sponge structures in the sponge city can also purify the received water. For example, the vegetation in the green space can absorb pollutants in the water, and the water storage body can precipitate pollutants. However, the sponge structures in the sponge city do not fully consider the relationship between rainfall, runoff and confluence, and cannot fully warn of water accumulation. When the water storage in the soil and other places does not reach the peak, the rainwater directly flows into the drainage system, resulting in a large room for improvement in the utilization rate of the sponge structure. Therefore, there is an urgent need for a water accumulation warning method based on sponge city, which needs to fully consider the relationship between rainfall, runoff and confluence to fully warn of water accumulation and improve the utilization rate of sponge structures. Summary of the invention

[0003] The purpose of the present invention is to provide a waterlogging early warning method, system, device and medium based on sponge city to improve the above problems. In order to achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0004] In a first aspect, the present application provides a waterlogging early warning method based on a sponge city, the method comprising:

[0005] Get the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within the preset time;

[0006] Solving the daily rainfall using a preset regional precipitation model to obtain regional rainfall;

[0007] Solving the regional precipitation, the historical cumulative rainfall, and the rainfall intensity information through a preset first association model to obtain a first association information set;

[0008] Obtain the runoff parameter values ​​of different land uses in the current city and the confluence information of sponge structures;

[0009] Solving the runoff parameter values ​​of different land uses in the current city and the regional precipitation through a preset second association model to obtain a second association information set;

[0010] Solving the confluence information of the sponge structure through a preset momentum model to obtain a confluence information set;

[0011] The first associated information set, the second associated information set and the confluence information set are calculated through a preset warning model to obtain waterlogging warning information, and the waterlogging warning information is used for graded warning.

[0012] In a second aspect, the present application also provides a waterlogging early warning system based on a sponge city, the system comprising:

[0013] The first acquisition module is used to obtain the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within a preset time;

[0014] A first processing module is used to solve the daily rainfall through a preset regional precipitation model to obtain regional precipitation rainfall;

[0015] A second processing module is used to solve the regional precipitation, the historical cumulative rainfall and the rainfall intensity information through a preset first correlation model to obtain a first correlation information set;

[0016] The second acquisition module is used to obtain the runoff parameter values ​​of different land uses in the current city and the confluence information of sponge structures;

[0017] A third processing module is used to solve the runoff parameter values ​​of different land uses in the current city and the regional precipitation rainfall through a preset second correlation model to obtain a second correlation information set;

[0018] A fourth processing module is used to solve the confluence information of the sponge structure through a preset momentum model to obtain a confluence information set;

[0019] The fifth processing module is used to calculate the first associated information set, the second associated information set and the confluence information set through a preset warning model to obtain waterlogging warning information, and the waterlogging warning information is used for graded warning.

[0020] In a third aspect, the present application also provides a water accumulation warning device based on a sponge city, including:

[0021] Memory for storing computer programs;

[0022] A processor is used to implement the steps of the sponge city-based water accumulation warning method when executing the computer program.

[0023] In a fourth aspect, the present application also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned sponge city-based water accumulation warning method are implemented.

[0024] The beneficial effects of the present invention are:

[0025] The present invention introduces the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within a preset time; the first associated information set is obtained by calculating the daily rainfall, historical cumulative rainfall and rainfall intensity information; then, the runoff parameter values ​​of different land uses in the current city and the confluence information of the sponge structure are obtained, and the second associated information set and the confluence information set are calculated respectively; finally, the first associated information set, the second associated information set and the confluence information set are calculated through a preset early warning model to obtain waterlogging early warning information, which is used for graded early warning. The present invention fully considers the correlation between rainfall, runoff and confluence, can fully warn of waterlogging, and improves the utilization rate of sponge structures.

[0026] Other features and advantages of the present invention will be set forth in the following description, and in part will become apparent from the description, or may be understood by practicing embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 It is a schematic diagram of the flow of the water accumulation early warning method based on the sponge city described in an embodiment of the present invention;

[0029] Figure 2 A schematic diagram of the topological structure of a waterlogging early warning system based on a sponge city in an embodiment of the present invention when in use;

[0030] Figure 3 It is a schematic diagram of the structure of a waterlogging early warning device based on a sponge city according to an embodiment of the present invention;

[0031] Markings in the figure:

[0032] 800. Water accumulation warning equipment based on sponge city; 801. Processor; 802. Memory; 803. Multimedia component; 804. I / O interface; 805. Communication component. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0035] Embodiment 1:

[0036] This embodiment provides a water accumulation early warning method based on a sponge city.

[0037] See also Figure 1 , the figure shows that the method includes steps S1 to S7, specifically:

[0038] S1: Obtain the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within a preset time;

[0039] In this step, the preset time is based on a natural month or natural quarter, and the corresponding daily precipitation, historical cumulative rainfall, and rainfall intensity information are queried in the hydrological and meteorological data.

[0040] S2: Solving the daily rainfall using a preset regional precipitation model to obtain regional rainfall;

[0041] In step S2, the preset regional precipitation model is:

[0042]

[0043] In the above formula (1), P area Indicates regional precipitation; i indicates the number of days for calculation, and its value range is 1 to n; α i represents the daily rainfall on the i-th day; R i Represents the preset weighting coefficient of daily rainfall on the i-th day.

[0044] S3: Solving the regional precipitation, the historical cumulative rainfall, and the rainfall intensity information through a preset first association model to obtain a first association information set;

[0045] In this step, the first association model is:

[0046] C1=I×(P area +P0); (2)

[0047] In the above formula (2), C1 represents the first associated information set; I represents the rainfall intensity information; P area Represents regional precipitation; P0 represents the cumulative rainfall in historical events.

[0048] S4: Obtain the flow parameter values ​​of different land uses in the current city and the confluence information of sponge structures;

[0049] In step S4, when obtaining the runoff parameter values ​​of different land uses in the current city, step S4 includes S41 to S44, specifically:

[0050] S41: obtaining soil texture index classification and land use classification of the current city, wherein the soil texture index classification is set in a gradient according to a preset permeability, and the land use classification includes industrial land, residential land, transportation land and agricultural land;

[0051] In step S41, the preset permeability can be set in gradient according to Table 1:

[0052] Soil texture index classification Permeability Soil properties (mm / h) Category I Thick loess ≥12 Category II Medium-thick loess {7,12) Category 3 Thin layer of loess {3,7) Category 4 Thin layer sandy soil {1.5,3) Category 5 Plastic soil (0,1.5)

[0053] Table 1

[0054] S42: constructing a data set for soil texture index classification of the industrial land, the residential land, the transportation land, and the current city to obtain a first type of parameter set;

[0055] In this step, industrial land, residential land, and transportation land are sampled in turn according to the classification of soil texture indicators, and the data are classified according to the degree of soil moisture to obtain the first type of data set.

[0056] S43: constructing a data set for the soil texture index classification of the agricultural land and the current city to obtain a second type of parameter set;

[0057] In this step, the agricultural land includes green land, forest land, cultivated land and grassland. The green land, forest land, cultivated land and grassland are sampled in turn according to the soil texture index classification, and the data are classified according to the soil moisture level to obtain the second type of data set.

[0058] S44: Calculate the mean of the first parameter set and the second parameter set to obtain the flow generation parameter values ​​of different land uses in the current city.

[0059] In each soil wetness level, the first parameter set and the second parameter set are averaged. For example, if the current soil wetness level is the first level, the first-level data corresponding to the soil wetness levels of industrial land, residential land, and transportation land in the first parameter set are weighted and summed in turn; then the first-level data corresponding to the soil wetness levels of green land, forest land, cultivated land, and grassland in the second parameter set are weighted and summed; finally, the above two parts of data are averaged to obtain the runoff parameter values ​​of different land uses in the current city when the soil wetness level is the first level. Similarly, the data under different soil wetness levels are processed in turn to obtain the corresponding runoff parameter values.

[0060] S5: solving the runoff parameter values ​​of different land uses in the current city and the regional precipitation through a preset second association model to obtain a second association information set;

[0061] In step S5, in order to clarify the specific process of solving the second association information set, step S5 includes S51 to S54, which are specifically:

[0062] S51: Obtain drainage pipeline distribution information of the current city;

[0063] S52: solving the runoff parameter values ​​of different land uses in the current city through a preset soil saturated water storage model to obtain the soil saturated water storage capacity of the current city;

[0064] Among them, the preset soil saturated water storage model is:

[0065]

[0066] In the above formula (3), b represents the saturated soil water storage capacity of the current city; CN represents the drainage pipeline distribution information of the current city; k1 and k2 are the underlying surface attribute parameters.

[0067] S53: Calculate the soil saturated water storage capacity of the current city and the drainage pipeline distribution information of the current city to obtain water supply and drainage loss information;

[0068] In the above steps, the calculation formula is:

[0069]

[0070] In the above formula (4), S represents the water supply and drainage loss information; Q represents the drainage pipeline distribution information of the current city; b represents the saturated soil water storage capacity of the current city; I aIt indicates the preset initial rainfall loss value, which includes surface interception, reservoir, etc.

[0071] S54: Solve the water supply and drainage loss information and the regional precipitation through a preset second correlation model to obtain a second correlation information set.

[0072] In this step, the preset second association model is:

[0073]

[0074] In the above formula (5), C2 represents the second associated information set; I represents the rainfall intensity information; I a Indicates the preset initial rainfall loss value; P area Represents regional precipitation; S represents water supply and drainage loss information.

[0075] S6: solving the confluence information of the sponge structure by using a preset momentum model to obtain a confluence information set;

[0076] In step S6, the momentum model includes a continuous model and a confluence model, and step S6 includes:

[0077] S61: Acquire real-time water depth information, flow information in the horizontal direction within a preset width, and flow information in the vertical direction within a preset width;

[0078] S62: solving the confluence information of the sponge structure and the real-time water depth information through a preset continuous model to obtain continuous water level information;

[0079] In step S62, the preset continuous model is:

[0080]

[0081] In the above formula (6), l e represents continuous water level information; h represents real-time water depth information; t represents time; q x Indicates the horizontal flow information within the preset width, q y Indicates the flow information in the vertical direction within the preset width, x represents the horizontal direction, and y represents the vertical direction.

[0082] S63: Solve the continuous water level information, the flow information in the horizontal direction within the preset width, and the flow information in the vertical direction within the preset width through a preset confluence model to obtain a confluence information set.

[0083]

[0084] In the above formula (7), C V represents the confluence information set, le Indicates continuous water level information, q x Indicates the horizontal flow information within the preset width, q y Indicates the flow information in the vertical direction within the preset width, x represents the horizontal direction, y represents the vertical direction, and g represents the acceleration of gravity.

[0085] S7: Calculate the first associated information set, the second associated information set and the confluence information set through a preset warning model to obtain waterlogging warning information, and the waterlogging warning information is used for graded warning.

[0086] In step S7, S7 includes S71 and S72, specifically:

[0087] S71: Calculate early warning indicator items for the first associated information set, the second associated information set, and the confluence information set to obtain an early warning indicator set;

[0088] In step S71, the warning indicator set includes a first warning indicator, a second warning indicator and a third warning indicator. S71 includes S711 to S715, specifically:

[0089] S711: Obtain a first association information weight index item, a second association information weight index item, and a confluence information weight index item;

[0090] S712: Calculate the first associated information set and the first associated information weight index item to obtain a first warning index;

[0091] In this step, the calculation formula is:

[0092] Z1=C1×N1;(8)

[0093] In the above formula (8), Z1 represents the first warning indicator, C1 represents the first associated information set, and N1 represents the first associated information weight indicator item.

[0094] S713: Calculate the second associated information set and the second associated information weight index item to obtain a second warning index;

[0095] In this step, the calculation formula is:

[0096] Z2=C2×N2; (9)

[0097] In the above formula (9), Z2 represents the second early warning indicator, C2 represents the second associated information set, and N2 represents the second associated information weight indicator item.

[0098] S714: Calculate the confluence information set and the confluence information weight index item to obtain a third early warning index;

[0099] In this step, the calculation formula is:

[0100] Z3=C V ×N V ; (10)

[0101] In the above formula (10), Z3 represents the third warning indicator, C V Represents the confluence information set, N V Represents the weight index item of confluence information.

[0102] S715: Construct a data set for the first early warning indicator, the second early warning indicator, and the third early warning indicator to obtain a early warning indicator set.

[0103] S72: Calculate the warning indicator set using a preset warning model to obtain waterlogging warning information.

[0104] In step S72, the warning model is a graded judgment condition. If the calculated Z3>Z2>Z1 or Z3>Z1>Z3, it indicates that the current situation is mainly confluence and the waterlogging warning information is at the lowest level. At this time, attention should be paid to confluence operations; when Z2>Z3>Z1 or Z2>Z1>Z3, it indicates that the current situation is mainly runoff generation and the waterlogging warning information is at an intermediate level; when Z1>z3>Z2 or Z1>z2>z3, it indicates that the current situation is mainly rainfall process and the waterlogging warning information is at the highest level, and precautions should be taken.

[0105] Embodiment 2:

[0106] This embodiment provides a waterlogging early warning system based on a sponge city, the system comprising:

[0107] The first acquisition module is used to obtain the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within a preset time;

[0108] A first processing module is used to solve the daily rainfall through a preset regional precipitation model to obtain regional precipitation rainfall;

[0109] A second processing module is used to solve the regional precipitation, the historical cumulative rainfall and the rainfall intensity information through a preset first correlation model to obtain a first correlation information set;

[0110] The second acquisition module is used to obtain the runoff parameter values ​​of different land uses in the current city and the confluence information of sponge structures;

[0111] A third processing module is used to solve the runoff parameter values ​​of different land uses in the current city and the regional precipitation rainfall through a preset second correlation model to obtain a second correlation information set;

[0112] A fourth processing module is used to solve the confluence information of the sponge structure through a preset momentum model to obtain a confluence information set;

[0113] The fifth processing module is used to calculate the first associated information set, the second associated information set and the confluence information set through a preset warning model to obtain waterlogging warning information, and the waterlogging warning information is used for graded warning.

[0114] like Figure 2 As shown, the first acquisition module and the second acquisition module respectively acquire corresponding data, and then the processing module performs data processing. The processing module includes a first processing module, a second processing module, a third processing module, a fourth processing module and a fifth processing module. The fifth processing module sends the water accumulation warning information to the warning platform.

[0115] In an implementation method disclosed in the present invention, the third processing module includes:

[0116] An acquisition unit, used to acquire the drainage pipeline distribution information of the current city;

[0117] The first calculation unit is used to solve the runoff parameter values ​​of different land uses in the current city through a preset soil saturated water storage model to obtain the soil saturated water storage capacity of the current city;

[0118] A second calculation unit is used to calculate the soil saturated water storage capacity of the current city and the drainage pipeline distribution information of the current city to obtain water supply and drainage loss information;

[0119] The third calculation unit is used to solve the water supply and drainage loss information and the regional precipitation rainfall through a preset second correlation model to obtain a second correlation information set.

[0120] It should be noted that, regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0121] Embodiment 3:

[0122] Corresponding to the above method embodiment, this embodiment also provides a water accumulation warning device based on a sponge city. The water accumulation warning device based on a sponge city described below and the water accumulation warning method based on a sponge city described above can refer to each other.

[0123] Figure 3 8 is a block diagram of a waterlogging early warning device 800 based on a sponge city according to an exemplary embodiment. Figure 3As shown, the sponge city-based water accumulation warning device 800 may include: a processor 801, a memory 802. The sponge city-based water accumulation warning device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0124] The processor 801 is used to control the overall operation of the sponge city-based waterlogging warning device 800 to complete all or part of the steps in the sponge city-based waterlogging warning method. The memory 802 is used to store various types of data to support the operation of the sponge city-based waterlogging warning device 800. These data may include, for example, instructions for any application or method operating on the sponge city-based waterlogging warning device 800, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, which is used to receive external audio signals. The received audio signal may be further stored in the memory 802 or sent via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the sponge city-based waterlogging warning device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 805 can include: Wi-Fi module, Bluetooth module, NFC module.

[0125] In an exemplary embodiment, the sponge city-based water accumulation warning device 800 can be implemented by one or more application-specific integrated circuits (Application Specific Integrated Circuit, referred to as ASIC), digital signal processors (Digital Signal Processor, referred to as DSP), digital signal processing devices (Digital Signal Processing Device, referred to as DSPD), programmable logic devices (Programmable Logic Device, referred to as PLD), field programmable gate arrays (Field Programmable Gate Array, referred to as FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned sponge city-based water accumulation warning method.

[0126] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned waterlogging early warning method based on sponge city are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 802 including program instructions, and the above-mentioned program instructions can be executed by the processor 801 of the waterlogging early warning device 800 based on sponge city to complete the above-mentioned waterlogging early warning method based on sponge city.

[0127] Embodiment 4:

[0128] Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment. The readable storage medium described below and the water accumulation warning method based on sponge city described above can refer to each other.

[0129] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the water accumulation warning method based on sponge city in the above method embodiment.

[0130] The readable storage medium may specifically be a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or other readable storage medium that can store program codes.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0132] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A waterlogging early warning method based on sponge city, characterized in that: include: Get the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within the preset time; Solving the daily rainfall using a preset regional precipitation model to obtain regional rainfall; Solving the regional precipitation, the historical cumulative rainfall, and the rainfall intensity information through a preset first association model to obtain a first association information set; Obtain the runoff parameter values ​​of different land uses in the current city and the confluence information of sponge structures; Solving the runoff parameter values ​​of different land uses in the current city and the regional precipitation through a preset second association model to obtain a second association information set; Solving the confluence information of the sponge structure through a preset momentum model to obtain a confluence information set; The first associated information set, the second associated information set and the confluence information set are calculated through a preset warning model to obtain waterlogging warning information, and the waterlogging warning information is used for graded warning.

2. The waterlogging early warning method based on sponge city according to claim 1 is characterized in that: The runoff parameter values ​​of different land uses in the current city and the regional precipitation are solved by a preset second association model to obtain a second association information set, including: Get the drainage pipeline distribution information of the current city; Solving the runoff parameter values ​​of different land uses in the current city through a preset soil saturated water storage model to obtain the soil saturated water storage capacity of the current city; Calculating the soil saturated water storage capacity of the current city and the drainage pipeline distribution information of the current city to obtain water supply and drainage loss information; The water supply and drainage loss information and the regional precipitation are solved by a preset second correlation model to obtain a second correlation information set.

3. The waterlogging early warning method based on sponge city according to claim 2 is characterized in that: The water supply and drainage loss information and the regional precipitation are solved by a preset second association model to obtain a second association information set, wherein the preset second association model is: In the above formula, C2 represents the second associated information set; I represents rainfall intensity information; I a Indicates the preset initial rainfall loss value; P area Represents regional precipitation; S represents water supply and drainage loss information.

4. The waterlogging early warning method based on sponge city according to claim 1 is characterized in that: When obtaining the runoff parameter values ​​of different land uses in the current city, it includes: Obtaining the soil texture index classification and land use classification of the current city, wherein the soil texture index classification is set in a gradient according to a preset permeability, and the land use classification includes industrial land, residential land, transportation land, and agricultural land; Constructing a data set for soil texture index classification of the industrial land, the residential land, the transportation land, and the current city to obtain a first type of parameter set; Constructing a data set for the soil texture index classification of the agricultural land and the current city to obtain a second type of parameter set; The mean of the first parameter set and the second parameter set is calculated to obtain the flow generation parameter values ​​of different land uses in the current city.

5. The waterlogging early warning method based on sponge city according to claim 1 is characterized in that: The confluence information of the sponge structure is solved by a preset momentum model to obtain a confluence information set, wherein the momentum model includes a continuous model and a confluence model, including: Obtain real-time water depth information, horizontal flow information within a preset width, and vertical flow information within a preset width; The confluence information of the sponge structure and the real-time water depth information are solved by a preset continuous model to obtain continuous water level information; The continuous water level information, the flow information in the horizontal direction within the preset width, and the flow information in the vertical direction within the preset width are solved by a preset confluence model to obtain a confluence information set.

6. The waterlogging early warning method based on sponge city according to claim 1 is characterized in that: The first associated information set, the second associated information set and the confluence information set are calculated by a preset warning model to obtain waterlogging warning information, which is used for graded warning, including: Calculating early warning indicator items for the first associated information set, the second associated information set, and the confluence information set to obtain an early warning indicator set; The early warning indicator set is calculated through a preset early warning model to obtain waterlogging early warning information.

7. The waterlogging early warning method based on sponge city according to claim 6 is characterized in that: The first associated information set, the second associated information set, and the confluence information set are respectively calculated to obtain an early warning indicator set, wherein the early warning indicator set includes a first early warning indicator, a second early warning indicator, and a third early warning indicator, including: Obtaining a first association information weight index item, a second association information weight index item, and a confluence information weight index item; Calculating the first associated information set and the first associated information weight index item to obtain a first warning index; Calculating the second associated information set and the second associated information weight index item to obtain a second warning index; Calculating the confluence information set and the confluence information weight index item to obtain a third early warning index; A data set is constructed for the first early warning indicator, the second early warning indicator, and the third early warning indicator to obtain an early warning indicator set.

8. A waterlogging early warning system based on sponge city, characterized in that: include: The first acquisition module is used to obtain the daily rainfall, historical cumulative rainfall and rainfall intensity information of the current city within a preset time; A first processing module is used to solve the daily rainfall through a preset regional precipitation model to obtain regional precipitation rainfall; A second processing module is used to solve the regional precipitation, the historical cumulative rainfall and the rainfall intensity information through a preset first correlation model to obtain a first correlation information set; The second acquisition module is used to obtain the runoff parameter values ​​of different land uses in the current city and the confluence information of sponge structures; A third processing module is used to solve the runoff parameter values ​​of different land uses in the current city and the regional precipitation rainfall through a preset second correlation model to obtain a second correlation information set; A fourth processing module is used to solve the confluence information of the sponge structure through a preset momentum model to obtain a confluence information set; The fifth processing module is used to calculate the first associated information set, the second associated information set and the confluence information set through a preset warning model to obtain waterlogging warning information, and the waterlogging warning information is used for graded warning.

9. A waterlogging early warning device based on a sponge city, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the sponge city-based water accumulation warning method as described in any one of claims 1 to 7 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the water accumulation warning method based on sponge city as claimed in any one of claims 1 to 7 are implemented.

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