CN114357675B - Method for calculating water outlet flow by replacing SWMM model conveying module - Google Patents
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Abstract
The invention discloses a method for calculating water outlet flow by replacing an SWMM model conveying module, which comprises the following steps: constructing an SWMM model, and extracting the upstream and downstream topological relation between the sub-catchment area and the pipe network; acquiring the total inflow rate and the lateral inflow rate of each well point of a pipe network, calculating the flow rate and the transmission rate of each well point, and constructing a flow rate and transmission rate matrix of the pipe network; operating an SWMM model without a pipe network, and obtaining the outflow of each sub-catchment area; sequentially calculating the outlet flow of each well point to the water outlet according to the upstream-downstream topological relation, the outlet flow of the sub-catchment area and the pipe network flow rate transmission rate matrix, and obtaining the water outlet flow; and inputting various LID facility space layout schemes into an SWMM model without a pipe network for simulation, obtaining output flows of each sub-catchment area to a delivery rate matrix for calculating the output flows, inputting the same LID facility space layout schemes into the SWMM model with the pipe network for calculating the output flows, and outputting the output flows calculated by the delivery rate matrix after linear correction based on the output flows. The invention effectively reduces the calculated amount of the water outlet flow and improves the operation efficiency.
Description
Technical Field
The invention relates to the technical field of water flow measurement, in particular to a method for calculating water outlet flow by replacing an SWMM model conveying module.
Background
The urban yield converging mechanism is far more complex than a natural river basin, a way of combining hydrology and hydraulics is needed to be adopted, and a mathematical model of the urban drainage system capable of simulating complex flow states is developed so as to meet the requirements of urban flood control and disaster reduction on prediction calculation of water conditions and waterlogging conditions.
At present, various urban rainfall flood models have been developed, wherein the SWMM model is widely applied worldwide, and the SWMM model mainly comprises two large modules, namely a surface production converging module and a pipe network converging calculation conveying module. The earth surface production confluence simulation adopts a nonlinear reservoir model, and is solved by the combination of a continuous equation and a Manning equation, so that the calculation speed is high and the calculation time is short; the pipe network conveying module relates to the solution of the Save Vigna equation set, and is long in time consumption and low in speed, and the calculation time is increased along with the number and the complexity of pipe networks. When the genetic algorithm is adopted to circularly call the SWMM model on a large scale for carrying out optimization solution, for example, the space optimization layout of sponge city Low Impact Development (LID) facilities based on a multi-objective optimization algorithm is adopted, the calculation of a pipe network conveying module can slow down the calculation speed of the whole optimization process. Therefore, a technical solution for rapidly calculating the water outlet flow is needed to solve the defects of the SWMM model pipe network conveying module.
Disclosure of Invention
In order to overcome the defects and the shortcomings in the prior art, aiming at the problems that the running speed of an SWMM (single-wall-model) pipeline network conveying module is low, but the LID space layout based on a multi-objective optimization algorithm needs to circularly call an SWMM to acquire the runoff reduction rate of a research area so as to reduce the operation rate of the whole optimization process, the invention provides a method for replacing the SWMM conveying module to calculate the water outlet flow, and provides technical support for the scientific planning and the rapid layout of future sponge city LID facilities in space.
A second object of the present invention is to provide a system for calculating water outlet flow in place of SWMM model delivery modules.
A third object of the present invention is to provide a computer-readable storage medium.
It is a fourth object of the present invention to provide a computing device.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the invention provides a method for calculating water outlet flow by replacing an SWMM model conveying module, which comprises the following steps:
constructing an SWMM (single-wall-flow-measurement model) comprising a complete pipe network, and extracting upstream and downstream topological relations between a sub-catchment area and the pipe network;
operating the SWMM model, obtaining total inflow rate and lateral inflow rate result data of all well points of the pipe network, calculating the flow rate conveying rate of all the well points, and constructing a pipe network flow rate conveying rate matrix according to the flow rate conveying rate of all the well points;
removing pipe network data in the SWMM model, and operating the SWMM model without pipe network to obtain the outflow of each sub-catchment area;
according to the upstream-downstream topological relation, the sub-catchment area outlet flow and the pipe network flow rate and conveying rate matrix, sequentially calculating the outlet flow of each well point from upstream to downstream until reaching a water outlet, and obtaining the water outlet flow;
randomly generating various LID facility space layout schemes, inputting the space layout schemes into an SWMM model without a pipe network for simulation, obtaining the outlet flow and the outlet flow of each sub-catchment area, simultaneously inputting the same LID facility space layout schemes into the SWMM model with the pipe network, calculating the outlet flow, linearly correcting the outlet flow obtained by the pipe network flow conveying rate matrix, and outputting the corrected outlet flow.
As a preferable technical scheme, the SWMM hydrological model comprising a complete pipe network is constructed, basic data of a research area are obtained in advance, the basic data comprise a digital elevation model, satellite remote sensing image data, pipe network distribution and land utilization type data, a catchment area is divided according to the basic data, and sub catchment area and pipe network parameters are determined.
As an preferable technical scheme, the calculating formula of the flow rate and the conveying rate of each well point specifically includes:
wherein d i Flow rate, and flow rate of the well point of the study are shown i Representing the point of investigationi total inflow; outflow i Indicating the output of the study well point i.
As an optimal technical scheme, according to an upstream-downstream topological relation, sub-catchment area outlet flow and pipe network flow rate and conveying rate matrix, sequentially calculating outlet flow of each well point from upstream to downstream, wherein the method comprises the following specific steps of:
according to the upstream-downstream topological relation, the upstream well point and the sub-catchment area information connected with the research well point are known, the outflow rate of each sub-catchment area is equivalent to the lateral inflow rate of the corresponding downstream well point, the total inflow rate of the research well point is equivalent to the sum of the outflow rates of all the upstream well points and the sub-catchment area outflow rates connected with the research well point, and the calculation formula is expressed as follows:
for an upstream initial well point, multiplying the total inflow of the research well point by the corresponding flow and transportation rate of the downstream well point in the pipe network flow and transportation rate matrix to obtain the outflow of the research well point, wherein the calculation formula is expressed as follows:
outflow i ＝inflow i ×d i
wherein, the final inflow represents the inflow rate of the sub-catchment area, M and K represent the total number of the upstream well points which are converged into the research well point i and the total number of the sub-catchment area, and the outflow i The flow rate of the well point i is obtained by multiplying the flow rate of the well point i by the flow rate of the well point.
In order to achieve the second object, the present invention adopts the following technical scheme:
a system for calculating water outlet flow in place of a SWMM model delivery module, comprising: the system comprises an SWMM model construction module, a topological relation extraction module, a flow conveying rate calculation module, a conveying rate matrix construction module, a flow obtaining module of each sub-catchment area, a water outlet flow calculation module, a layout scheme generation module, a simulation module, a linear correction module and an output module;
the SWMM model building module is used for building a SWMM model comprising a complete pipe network;
the topological relation extraction module is used for extracting upstream and downstream topological relations of the sub-catchment areas and the pipe network;
the flow rate and conveying rate calculation module is used for operating the SWMM model, obtaining total inflow rate and lateral inflow rate result data of each well point of the pipe network, and calculating the flow rate and conveying rate of each well point;
the conveying rate matrix construction module is used for constructing a pipe network flow conveying rate matrix according to the flow conveying rate of each well point;
the flow obtaining module of each sub-catchment area is used for obtaining the flow of each sub-catchment area, removing pipe network data in the SWMM model, operating the SWMM model without pipe network, and obtaining the flow of each sub-catchment area;
the water outlet flow calculation module is used for sequentially calculating the outlet flow of each well point from upstream to downstream according to the upstream-downstream topological relation, the outlet flow of the sub-catchment area and the pipe network flow conveying rate matrix until reaching a water outlet, so as to obtain the water outlet flow;
the layout scheme generation module is used for randomly generating a plurality of LID facility space layout schemes,
the simulation module is used for inputting the LID facility space layout scheme into the SWMM model without the pipe network for simulation, obtaining the outlet flow and the outlet flow of each sub-catchment area, inputting the same LID facility space layout scheme into the SWMM model with the pipe network, and calculating the outlet flow;
the linear correction module is used for carrying out linear correction on the water outlet flow obtained by the pipe network flow conveying rate matrix;
the output module is used for outputting the corrected water outlet flow.
In order to achieve the third object, the present invention adopts the following technical scheme:
a computer readable storage medium storing a program which when executed by a processor implements a method of calculating outlet flow as described above in place of a SWMM model delivery module.
In order to achieve the fourth object, the present invention adopts the following technical scheme:
a computing device comprising a processor and a memory for storing a program executable by the processor, when executing the program stored by the memory, implementing a method of calculating outlet flow as described above in place of a SWMM model transport module.
Compared with the prior art, the invention has the following advantages and beneficial effects:
in the research of LID facility space optimization layout based on a multi-objective algorithm, the minimum research area water outlet flow is one of objective functions of the multi-objective optimization algorithm, and currently scholars and engineers mostly directly call an SWMM model to perform hydrologic simulation so as to acquire the research area water outlet flow, but for a complex research area of a pipe network, an SWMM model conveying module relates to the solution of a Santa-Venan equation, the calculation amount is large, the computer performance requirement is higher, and the calculation time is long.
Drawings
FIG. 1 is a schematic flow chart of a method for calculating water outlet flow by replacing a SWMM model delivery module according to the present invention;
FIG. 2 is a digital elevation model and network distribution diagram of the section of Guangzhou urban Tianhe section of Qing river;
FIG. 3 is a fitting graph of the linear relationship between the water outlet flow obtained by the pipe network flow rate and transport rate matrix and SWMM model;
FIG. 4 is a graph showing the error distribution between the pipe network flow rate and the delivery rate obtained by the SWMM model after the linear correction.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the embodiment provides a method for calculating the flow rate of a water outlet by replacing a SWMM model conveying module, which specifically includes the following steps:
s1: constructing an SWMM (single-wall-flow-measurement model) containing a complete pipe network, and extracting upstream and downstream topological relations between a sub-catchment area and the pipe network;
in this example, the area of the Yangcha sheet in the northwest of Tianhe area in Guangzhou city is about 1.57km 2 . The sublevel of the sheet area is complex, the north part is mountain area, and the south part is highly urban area with dense buildings. As shown in fig. 2, in step S1, the SWMM model needs to be constructed by acquiring basic data of the research area in advance, where the basic data includes a digital elevation model, satellite remote sensing image data, pipe network distribution, and land utilization type data, and determining sub-catchment areas and pipe network parameters according to the sub-catchment areas.
Based on basic data provided by relevant departments, 198 pipelines, 198 well points and 2 water outlets are extracted. According to DEM data, buildings, traffic road distribution and pipe network trend, the research area is manually divided into 86 sub-catchment areas, and the minimum sub-catchment area is 1110.95m 2 The maximum area of the sub-catchment area is 54130.5m 2 The generalized results of the study area can be seen in fig. 2. Referring to the SWMM manual, values for the sub-catchment area empirical parameters and pipe network parameters are specifically shown in Table 1.
TABLE 1 values table of empirical parameters and pipe network parameters for sub-catchment area
| Parameter name | Value taking |
| Manning coefficient of impermeable zone | 0.011 |
| Permeable zoneManning coefficient | 0.24 |
| Depth of water-impermeable area depression | 0.5 |
| Depth of water permeable area depression | 1 |
| Maximum infiltration rate | 10mm/h |
| Minimum infiltration rate | 1.25mm/h |
| Osmotic attenuation coefficient | 4 |
| Pipe network roughness | 0.01-0.013 |
S2: operating the SWMM hydrologic model, obtaining total inflow and lateral inflow result data of all well points of the pipe network, calculating the flow rate and the transmission rate of all well points, and constructing a pipe network flow rate and transmission rate matrix;
in step S2, the total inflow and the lateral inflow of each well point can be extracted from the SWMM model operation result file of the pipe network, wherein the lateral inflow is equivalent to the outflow of the sub-catchment area connected with the lateral inflow. In addition, although the outflow rate of each well point cannot be directly obtained, the total inflow rate of the well point downstream of each well point can be approximately regarded as the outflow rate of the well point upstream thereof. The flow rate delivery rate d of each well point Ji can be calculated according to the formula (1) i Constructing a pipe network flow rate and conveying rate matrix according to the above formula (2)
Wherein, the flow is an i Representing the total inflow of the research well point i; outflow i The outlet flow of the research well point i is represented and corresponds to the total inlet flow of the downstream well point corresponding to the research well point; d, d i The flow rate at the well site is shown.
S3: removing pipe network data in the SWMM model, and operating the SWMM model without pipe network to obtain the outflow of each sub-catchment area;
s4: according to the upstream-downstream topological relation, the sub-catchment area outlet flow and the pipe network flow rate and conveying rate matrix, sequentially calculating the outlet flow of each well point from upstream to downstream until reaching a water outlet, and obtaining the water outlet flow;
in step S4, according to the upstream-downstream topological relation, the upstream well point and the sub-catchment area information connected with the research well point can be known, the outflow of each sub-catchment area corresponds to the lateral inflow of the corresponding downstream well point, the total inflow of the research well point is equal to the sum of the outflow of all the upstream well points and the outflow of the sub-catchment area connected with the research well point, and as for the upstream starting well point, only the lateral inflow (corresponding to the outflow of the sub-catchment area connected with the upstream starting well point) exists; multiplying the total inflow of the research well points by the corresponding flow rate and transportation rate of the downstream well points in the pipe network flow rate and transportation rate matrix to obtain the outflow of the research well points, wherein the outflow of the research well points is shown in a formula (4). Note that, the output flow is equivalent to the input flow of the research well point contributing to the downstream well point, so that the output flow of the well point located downstream is calculated in sequence by taking the upstream starting well point as a starting point according to the upstream-downstream topological relation, the output flow of the sub-catchment area obtained in the step S3 and the pipe network flow rate and conveying rate matrix obtained in the step S2, and the like until the output flow reaches the end of the pipe network, and the output flow of the output water can be obtained.
outflow i ＝inflow i ×d i (4)
The lateral inflow of the well point is represented by the lateral inflow, which is equivalent to the inflow of the sub-catchment area obtained in the step S3; m and K represent the total number of upstream well points and the total number of sub-catchment areas which are merged into the research well point i, and the total inflow of the research well point i is equal to the sum of all directly connected upstream well points M and the sub-catchment areas outflow K. outflow i The flow rate of the well point i is obtained by multiplying the flow rate of the well point i by the flow rate of the well point.
S5: randomly generating 100 LID facility space layout schemes, acquiring the outlet flow of each sub-catchment area based on the step S3 (input into an SWMM model without a pipe network for simulation), and calculating the outlet flow by adopting the step S4; and simultaneously inputting the 100 schemes into an SWMM model containing a pipe network, and calculating the water outlet flow. As shown in fig. 3, the x-axis and the y-axis respectively represent the outlet flow values obtained by the pipe network flow rate and transport rate matrix and the SWMM model, and a linear relationship is formed between the two values, so that the outlet flow obtained by the pipe network flow rate and transport rate matrix is subjected to linear correction.
As shown in fig. 4, after the linear correction is performed on the water outlet flow obtained by the pipe network flow rate and conveying rate matrix, the error between the water outlet flow obtained by the pipe network flow rate and the simulation result of the SWMM model is less than 0.25%, which indicates that the pipe network flow rate and conveying rate matrix can effectively replace a conveying module of the SWMM model to obtain the water outlet flow rate;
in addition, as can be seen from the comparison of the operation time of the table 2 below, the operation time of the pipe network flow rate and transmission rate matrix method is far less than that of the SWMM model, and the operation speed of the LID facility optimization layout is improved by about 19.7 times.
TABLE 2 difference Table of SWMM and pipe network flow delivery matrix run times
Example 2
A system for calculating water outlet flow in place of a SWMM model delivery module, comprising: the system comprises an SWMM model construction module, a topological relation extraction module, a flow conveying rate calculation module, a conveying rate matrix construction module, a flow obtaining module of each sub-catchment area, a water outlet flow calculation module, a layout scheme generation module, a simulation module, a linear correction module and an output module;
in this embodiment, the SWMM model building module is configured to build a SWMM model including a complete pipe network;
in this embodiment, the topological relation extracting module is configured to extract an upstream and downstream topological relation between the sub-catchment area and the pipe network;
in this embodiment, the flow rate and delivery rate calculation module is configured to operate the SWMM model, obtain total inflow rate and lateral inflow rate result data of each well point of the pipe network, and calculate a flow rate and delivery rate of each well point;
in this embodiment, the transport rate matrix construction module is configured to construct a pipe network flow transport rate matrix according to the flow transport rates of the well points;
in this embodiment, the flow obtaining module of each sub-catchment area is configured to obtain the flow of each sub-catchment area, remove pipe network data in the SWMM model, and operate the SWMM model without pipe network to obtain the flow of each sub-catchment area;
in this embodiment, the water outlet flow calculation module is configured to calculate, sequentially, from upstream to downstream, the well outlet flow according to the upstream-downstream topological relation, the outlet flow of the sub-catchment area, and the pipe network flow rate matrix, until reaching the water outlet, and obtain the water outlet flow;
in this embodiment, the layout scheme generation module is configured to randomly generate a plurality of LID facility spatial layout schemes,
in this embodiment, the simulation module is configured to input the LID facility space layout scheme to the SWMM model without the pipe network for simulation, obtain the outlet flow and the outlet flow of each sub-catchment area, and simultaneously input the same LID facility space layout scheme to the SWMM model with the pipe network, and calculate the outlet flow;
in this embodiment, the linear correction module is configured to perform linear correction on the water outlet flow obtained by the pipe network flow rate delivery rate matrix;
in this embodiment, the output module is configured to output the corrected water outlet flow.
Example 3
The present embodiment provides a storage medium, which may be a storage medium such as a ROM, a RAM, a magnetic disk, or an optical disk, and the storage medium stores one or more programs, and when the programs are executed by a processor, the method for calculating the water outlet flow by using the SWMM model transport module in the alternative embodiment 1 is implemented.
Example 4
The present embodiment provides a computing device, which may be a desktop computer, a notebook computer, a smart phone, a PDA handheld terminal, a tablet computer, or other terminal devices with display functions, where the computing device includes a processor and a memory, where the memory stores one or more programs, and when the processor executes the programs stored in the memory, the method for calculating the water outlet flow by using the SWMM model transport module in the embodiment 1 is implemented.
The techniques described herein may be implemented by various means. For example, these techniques may be implemented in hardware, firmware, software, or a combination thereof. For a hardware implementation, the processing modules may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, electronic devices, other electronic units designed to perform the functions described herein, or a combination thereof.
For a firmware and/or software implementation, the techniques may be implemented with modules (e.g., procedures, steps, flow, and so on) that perform the functions described herein. The firmware and/or software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.
Claims (6)
1. A method for calculating water outlet flow by replacing an SWMM model delivery module, comprising the steps of:
constructing an SWMM (single-wall-flow-measurement model) comprising a complete pipe network, and extracting upstream and downstream topological relations between a sub-catchment area and the pipe network;
operating the SWMM model, obtaining total inflow rate and lateral inflow rate result data of all well points of the pipe network, calculating the flow rate conveying rate of all the well points, and constructing a pipe network flow rate conveying rate matrix according to the flow rate conveying rate of all the well points;
removing pipe network data in the SWMM model, and operating the SWMM model without pipe network to obtain the outflow of each sub-catchment area;
according to the upstream-downstream topological relation, the sub-catchment area outlet flow and the pipe network flow rate and conveying rate matrix, sequentially calculating the outlet flow of each well point from upstream to downstream until reaching a water outlet, and obtaining the water outlet flow;
according to the upstream-downstream topological relation, the sub-catchment area outlet flow and the pipe network flow rate and conveying rate matrix, sequentially calculating the outlet flow of each well point from upstream to downstream, wherein the specific steps comprise:
according to the upstream-downstream topological relation, the upstream well point and the sub-catchment area information connected with the research well point are known, the outflow rate of each sub-catchment area is equivalent to the lateral inflow rate of the corresponding downstream well point, the total inflow rate of the research well point is equivalent to the sum of the outflow rates of all the upstream well points and the sub-catchment area outflow rates connected with the research well point, and the calculation formula is expressed as follows:
for an upstream initial well point, multiplying the total inflow of the research well point by the corresponding flow and transportation rate of the downstream well point in the pipe network flow and transportation rate matrix to obtain the outflow of the research well point, wherein the calculation formula is expressed as follows:
outflow i ＝inflow i ×d i
wherein, the final inflow represents the inflow rate of the sub-catchment area, M and K represent the total number of the upstream well points which are converged into the research well point i and the total number of the sub-catchment area, and the outflow i Representing the output flow rate of the research well point i obtained by multiplying the input flow rate of the research well point i by the flow rate delivery rate corresponding to the well point;
randomly generating various LID facility space layout schemes, inputting the space layout schemes into an SWMM model without a pipe network for simulation, obtaining the outlet flow and the outlet flow of each sub-catchment area, simultaneously inputting the same LID facility space layout schemes into the SWMM model with the pipe network, calculating the outlet flow, linearly correcting the outlet flow obtained by the pipe network flow conveying rate matrix, and outputting the corrected outlet flow.
2. The method for calculating the water outlet flow according to claim 1, wherein the construction of the SWMM hydrologic model including the complete pipe network includes obtaining basic data of the research area in advance, wherein the basic data includes a digital elevation model, satellite remote sensing image data, pipe network distribution and land utilization type data, dividing the catchment area according to the basic data, and determining the sub catchment area and pipe network parameters.
3. The method for calculating the water outlet flow rate by replacing the SWMM model conveying module according to claim 1, wherein the calculating the flow rate conveying rate of each well point specifically includes:
wherein d i Flow rate, and flow rate of the well point of the study are shown i Representing the total inflow of the research well point i; outflow i Indicating the output of the study well point i.
4. A system for calculating water outlet flow in place of a SWMM model delivery module, comprising: the system comprises an SWMM model construction module, a topological relation extraction module, a flow conveying rate calculation module, a conveying rate matrix construction module, a flow obtaining module of each sub-catchment area, a water outlet flow calculation module, a layout scheme generation module, a simulation module, a linear correction module and an output module;
the SWMM model building module is used for building a SWMM model comprising a complete pipe network;
the topological relation extraction module is used for extracting upstream and downstream topological relations of the sub-catchment areas and the pipe network;
the flow rate and conveying rate calculation module is used for operating the SWMM model, obtaining total inflow rate and lateral inflow rate result data of each well point of the pipe network, and calculating the flow rate and conveying rate of each well point;
the conveying rate matrix construction module is used for constructing a pipe network flow conveying rate matrix according to the flow conveying rate of each well point;
the flow obtaining module of each sub-catchment area is used for obtaining the flow of each sub-catchment area, removing pipe network data in the SWMM model, operating the SWMM model without pipe network, and obtaining the flow of each sub-catchment area;
the water outlet flow calculation module is used for sequentially calculating the outlet flow of each well point from upstream to downstream according to the upstream-downstream topological relation, the outlet flow of the sub-catchment area and the pipe network flow conveying rate matrix until reaching a water outlet, so as to obtain the water outlet flow;
according to the upstream-downstream topological relation, the sub-catchment area outlet flow and the pipe network flow rate and conveying rate matrix, sequentially calculating the outlet flow of each well point from upstream to downstream, wherein the method specifically comprises the following steps:
according to the upstream-downstream topological relation, the upstream well point and the sub-catchment area information connected with the research well point are known, the outflow rate of each sub-catchment area is equivalent to the lateral inflow rate of the corresponding downstream well point, the total inflow rate of the research well point is equivalent to the sum of the outflow rates of all the upstream well points and the sub-catchment area outflow rates connected with the research well point, and the calculation formula is expressed as follows:
for an upstream initial well point, multiplying the total inflow of the research well point by the corresponding flow and transportation rate of the downstream well point in the pipe network flow and transportation rate matrix to obtain the outflow of the research well point, wherein the calculation formula is expressed as follows:
outflow i ＝inflow i ×d i
wherein, the final inflow represents the inflow rate of the sub-catchment area, M and K represent the total number of the upstream well points which are converged into the research well point i and the total number of the sub-catchment area, and the outflow i Representing the output flow rate of the research well point i obtained by multiplying the input flow rate of the research well point i by the flow rate delivery rate corresponding to the well point;
the layout scheme generation module is used for randomly generating a plurality of LID facility space layout schemes,
the simulation module is used for inputting the LID facility space layout scheme into the SWMM model without the pipe network for simulation, obtaining the outlet flow and the outlet flow of each sub-catchment area, inputting the same LID facility space layout scheme into the SWMM model with the pipe network, and calculating the outlet flow;
the linear correction module is used for carrying out linear correction on the water outlet flow obtained by the pipe network flow conveying rate matrix;
the output module is used for outputting the corrected water outlet flow.
5. A computer readable storage medium storing a program, wherein the program when executed by a processor implements a method of calculating outlet flow for an alternative SWMM model delivery module according to any of claims 1-3.
6. A computing device comprising a processor and a memory for storing a processor executable program, wherein the processor, when executing the program stored in the memory, implements the method of calculating outlet flow for an alternate SWMM model delivery module of any of claims 1-3.
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