CN115455723B - Rain water system fixed runoff coefficient modeling method based on SWMM model - Google Patents

Rain water system fixed runoff coefficient modeling method based on SWMM model Download PDF

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CN115455723B
CN115455723B CN202211174374.6A CN202211174374A CN115455723B CN 115455723 B CN115455723 B CN 115455723B CN 202211174374 A CN202211174374 A CN 202211174374A CN 115455723 B CN115455723 B CN 115455723B
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drainage
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runoff
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CN115455723A (en
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杨涛
陈宝玉
后志
王旭峰
胡瑜
胡月明
张杞蓉
徐秀丽
王正雄
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Wuhan Municipal Engineering Design and Research Institute Co Ltd
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Abstract

The embodiment of the application provides a fixed runoff coefficient modeling method of a drainage system based on an SWMM (single-wall-flow-measurement model), which comprises the steps of selecting a simulation area, wherein the simulation area comprises a plurality of sub-drainage areas, each sub-drainage area is internally further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea comprises a permeable area A1, a non-permeable area A2 containing potholes and a non-permeable area A3 without potholes; the parameters of each sub drainage area are set according to the following rules: the evaporation intensity is set to 0, the ratio of the snow melting free areas A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of the A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1 to A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is an inspection well or a discharge port; triggering SWMM software to enter an operation mode to complete the modeling of the fixed runoff coefficient of the drainage system.

Description

Rain water system fixed runoff coefficient modeling method based on SWMM model
Technical Field
The application relates to the technical field of urban management, in particular to a fixed runoff coefficient modeling method of a drainage system based on an SWMM model.
Background
The mathematical modeling of the rainwater drainage system is generally simulated and analyzed by adopting professional software, and the software which is currently applied more in China comprises SWMM, infoWorks, MIKE FLOOD, PCSWMM, HYSWMM, digital Water, USRAMS and the like. The SWMM (rain and flood management model) has the advantages of early research and development, good universality, strong source opening property and free use, and is used or referred in later-developed software. In addition, at present, most of drainage engineering planning and design work in China adopts an inference formula method, and particularly hydraulic calculation is performed on the basis of a given runoff coefficient, namely, the runoff coefficient is an input condition and not an output result. However, the SWMM software calculates the land mass runoff by adopting a buckling loss method, and the value of the land mass runoff is equal to the sum of the rainfall and the snow melting quantity in the land mass range, and the margin after the loss such as evaporation, infiltration, pothole interception and the like is subtracted, namely, the runoff coefficient is an output result in the SWMM software and is not an input condition. In summary, SWMM software cannot directly model the fixed runoff coefficient, and there is a problem of low adaptation.
Disclosure of Invention
The embodiment of the application aims to provide a drainage system fixed runoff coefficient modeling method based on an SWMM model, which can improve application adaptation degree.
The embodiment of the application also provides a drainage system fixed runoff coefficient modeling method based on the SWMM model, which comprises the following steps:
s1, selecting a simulation area based on basic data reflecting basic conditions of a rainwater pipeline and a drainage area, wherein the simulation area comprises a plurality of sub-drainage areas, each sub-drainage area is further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea comprises a penetration area A1, a non-penetration area A2 containing potholes and a non-penetration area A3 without potholes;
s2, setting parameters of each sub drainage area according to the following rules: the evaporation intensity is set to 0, the ratio of the snow melting free areas A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of the A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1 to A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is an inspection well or a discharge port;
and S3, triggering SWMM software to enter an operation mode to complete the modeling of the fixed runoff coefficient of the drainage system.
In a second aspect, the embodiment of the application further provides a drainage system fixed runoff coefficient modeling system based on the SWMM model, wherein the system comprises a simulation area selection module, a parameter setting module and a modeling module, and the system comprises the following components:
the simulation area selection module is used for selecting a simulation area based on basic data reflecting basic conditions of a rainwater pipeline and a drainage area, the simulation area comprises a plurality of sub-drainage areas, each sub-drainage area is further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea comprises a permeable area A1, a non-permeable area A2 containing pits and a non-permeable area A3 without pits;
the parameter setting module is used for setting the parameters of each sub drainage area according to the following rules: the evaporation intensity is set to 0, the ratio of the snow melting free areas A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of the A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1 to A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is an inspection well or a discharge port;
and the modeling module is used for triggering SWMM software to enter an operation mode to complete the modeling of the fixed runoff coefficient of the drainage system.
In a third aspect, an embodiment of the present application further provides a readable storage medium, where the readable storage medium includes a SWMM model-based drainage system fixed runoff coefficient modeling method program, where the SWMM model-based drainage system fixed runoff coefficient modeling method program, when executed by a processor, implements the steps of a SWMM model-based drainage system fixed runoff coefficient modeling method according to any one of the foregoing embodiments.
It can be seen from the above that, according to the method, the system and the readable storage medium for modeling the fixed runoff coefficient of the drainage system based on the SWMM model provided by the embodiment of the application, the SWMM model is combined to perform modeling of the fixed runoff coefficient method, and in the modeling process, the composition of the sub-subareas in the drainage area and the reasonable setting of the parameters of the drainage area are combined, so that the defect that the SWMM cannot directly perform modeling of the fixed runoff coefficient is overcome while the engineering practice is approached, and the application adaptation degree is improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a modeling method for a fixed runoff coefficient of a drainage system based on a SWMM model provided by an embodiment of the application;
FIG. 2 is a schematic diagram of a confluence;
fig. 3 is a network schematic diagram of a case zone SWMM model;
FIG. 4 is a schematic diagram of a nonlinear reservoir model of a subdrainage zone;
fig. 5 is a runoff plot of the S140 subdrainage zone at p=1 year;
fig. 6 is a schematic structural diagram of a drainage system fixed runoff coefficient modeling system based on a SWMM model according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a method for modeling a fixed runoff coefficient of a drainage system based on a SWMM model according to some embodiments of the present application. The method comprises the following steps:
step S1, selecting a simulation area based on basic data reflecting the basic conditions of a rainwater pipeline and a drainage area, wherein the simulation area comprises a plurality of sub-drainage areas, each sub-drainage area is further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea comprises a permeable area A1, a non-permeable area A2 containing potholes and a non-permeable area A3 without potholes.
Specifically, referring to fig. 2, in order to simulate different underlying surfaces, in the present embodiment, each sub-drainage area is further subdivided into three sub-areas, namely, a permeable area A1, a non-permeable area A2 containing pits and a non-permeable area A3 without pits, according to the hydrologic characteristics in the SWMM software, and the runoffs between the permeable area and the non-permeable area may evolve.
Note that, when the option of runoff calculation is the OUTLET, the sub-drainage area is shown in fig. 2.
Step S2, setting parameters of each sub-drainage area according to the following rules: the evaporation intensity is set to 0, the ratio of snow melting and A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1-A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is the inspection well or the discharge port.
Specifically, in view of the fact that the water collecting area of the case area is small and the underlying surface mixing degree is high, the embodiment of the application adopts a fixed runoff coefficient method for modeling in order to be closer to engineering practice.
In one embodiment, the pipeline flow is calculated by a dynamic wave algorithm, and in view of the fact that the pipeline length of a part of the case area is short, the maximum calculation step length of the model is 10s to reduce the continuity error. The 3h simulation result shows that the surface runoff calculation continuity error is 0.00%, the pipeline flow calculation continuity error is less than 0.02%, and the model calculation is reasonable.
And step S3, triggering SWMM software to enter an operation mode to complete the modeling of the fixed runoff coefficient of the drainage system.
According to the modeling method for the fixed runoff coefficient of the drainage system based on the SWMM model, disclosed by the application, the modeling is carried out by combining the SWMM model, in the modeling process, the defect that the SWMM cannot directly carry out the modeling for the fixed runoff coefficient is overcome while the modeling is close to engineering practice by combining the composition of the sub-subareas in the drainage area and the reasonable setting of the parameters of the drainage area, and the application adaptation degree is improved.
In one embodiment, the primary parameters of the sub-drainage zone include rain gauge, water outlet, area, width, non-permeable zone duty cycle, grade, side stone length, and snow accumulation.
The main parameters of the underlying surface include the manning coefficient of the non-permeable zone, the manning coefficient of the permeable zone, the water storage depth of the non-permeable zone, the water storage depth of the permeable zone, the water storage ratio of the non-permeable zone without the depression, the runoff calculation options and the runoff calculation proportion. The infiltration parameters include maximum infiltration rate, minimum infiltration rate, decay rate constant, evacuation time, and maximum infiltration volume possible.
In one embodiment, the method further comprises:
and S4, generalizing various line elements and point elements included in the simulation area to improve SWMM modeling quality and efficiency, wherein the line elements comprise at least one of municipal rainwater main pipes, user rainwater pipes and rainwater inlet connecting pipes, and the point elements comprise at least one of municipal rainwater inspection wells, rainwater inlets, blind wells and discharge ports.
Specifically, the quality of the basic data is naturally uneven due to different construction time sequences and management levels of pipelines. Therefore, in order to improve SWMM modeling quality and efficiency, the data of the case zone rainwater pipeline are generalized before modeling.
For example, assume that 4594 line elements such as original municipal rainwater trunk pipes, user rainwater pipes and rainwater inlet connecting pipes in the case area, 4617 point elements such as original municipal rainwater inspection wells, rainwater inlets, hidden wells and discharge ports are adopted, and 462 municipal rainwater trunk pipes 465, inspection well 465 seats, 9 seats of discharge ports and sub-drainage areas are reserved after generalization according to inspection results.
The smallest pipeline section in the case area is d300mm, and the largest pipeline section is 3.7mx1.9m; the length of the pipeline is 3m at the shortest and 80m at the longest.
In one embodiment, the pipeline can be a d1000mm reinforced concrete pipe, the ground gradient can be 3.9%o, and the overcurrent capacity can be 1.4m 3 The catchment area of the section (i.e. the S140 subdrainage zone) can be designed to be 0.14hm 2 . The case zone SWMM model network can be understood with particular reference to fig. 3.
In one embodiment, in the modeling process, the method further comprises:
step S5, simulating the flow production process of the sub-drainage area by using the nonlinear reservoir so as to eliminate the influence of evaporation, snow melting, infiltration and surface flow on the land mass flow, so that the land mass water receiving quantity is quickly converted into pipe network flow, wherein in the flow production process: when the snow melting time is not needed, the evaporation intensity is 0, and the water storage depth of the depression is 0, the surface runoff is equal to the rainfall minus the infiltration; when the Horton infiltration rate is constantly greater than the rainfall intensity, the net rainfall is completely and rapidly converted into surface runoff; when the Manning coefficient of the permeable area and the non-permeable area is 0 and the runoff calculation option adopts OUTLET, runoffs generated by different underlaying surfaces and different sub drainage areas can be quickly connected into a pipe network.
Specifically, the flow-producing mechanism described above may refer to fig. 4.
The SWMM analysis report showed that the runoff coefficient of each sub-drainage area was 0.70. Taking the S140 subdrainage area as an example, in a rainfall scenario of p=1 year, the Runoff curve (Runoff) is shown in fig. 5. From the calculation of fig. 5, in the rainfall scenario of p=1a, the total runoff volume of the plot is 46.07m 3 The total rain-proof capacity is 65.27m 3 The runoff coefficient was 0.70, consistent with the analysis report display results. Based on the method, modeling of a fixed runoff coefficient method can be achieved by the SWMM model subdrainage zone treatment method provided by the current embodiment.
In one embodiment, in step S5, the production process of the sub-drainage area is simulated based on the following formula:
d is the water storage depth of the nonlinear reservoir, and the unit is mm; t is rainfall duration, and the unit is min; i is the precipitation intensity, and the unit is mm/h; e is evaporation intensity, and the unit is mm/h; f is the infiltration rate in mm/h; q is the surface runoff of unit area, and the unit is mm/h. Note that, the parameter ds shown in fig. 4 is the depression water storage depth, and the unit is mm.
In one embodiment, in the modeling process, the method further comprises:
step S6, comprehensively evaluating short-duration rainfall situations of the simulation area according to a storm intensity formula, wherein the design rain type adopts Chicago rain type, the rainfall duration is set to 2 hours, and the time sequence of rainfall events is obtained by deduction according to the following formula:
wherein t is rainfall duration, and the unit is min; p is the design reproduction period in years; q is the surface runoff of unit area, and the unit is L/(s.hm) 2 )。
Specifically, in the current embodiment, with reference to "urban waterlogging prevention and control planning standard (solicitation opinion manuscript)" (construction standard [2017] 110), short-duration rainfall scenes in a case area are comprehensively evaluated according to a stormwater intensity formula.
In one embodiment, the time step of the rainfall event takes 1min, and the design reproduction period p in the above formula is set to a value by referring to the "urban drainage (rainwater) waterlogging prevention comprehensive planning and compiling outline" (building [2013] 98), and the embodiment of the application does not limit the specific value.
Referring to fig. 6, which is a block diagram of a drainage system fixed runoff coefficient modeling system based on a SWMM model according to the present application, the system 600 includes a simulation area selecting module 601, a parameter setting module 602, and a modeling module 603, wherein:
the simulation area selecting module 601 is configured to select a simulation area based on basic data reflecting basic conditions of a rainwater pipeline and a drainage area, where the simulation area includes a plurality of sub-drainage areas, and each sub-drainage area is further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea includes a permeable area A1, a non-permeable area A2 with a hollow, and a non-permeable area A3 without a hollow.
The parameter setting module 602 is configured to set parameters of each sub-drainage area according to the following rules: the evaporation intensity is set to 0, the ratio of snow melting and A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1-A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is the inspection well or the discharge port.
The modeling module 603 is configured to trigger the SWMM software to enter an operation mode, and complete the modeling of the fixed runoff coefficient of the drainage system.
In one embodiment, the modules are further configured to perform the method of any of the alternative implementations of the embodiments.
According to the drainage system fixed runoff coefficient modeling system based on the SWMM model, disclosed by the application, the SWMM model is combined to perform fixed runoff coefficient method modeling, and in the modeling process, the composition of the sub-subareas in the drainage area and the reasonable setting of the parameters of the drainage area are combined, so that the defect that the SWMM cannot directly perform fixed runoff coefficient modeling is overcome while the engineering practice is approached, and the application adaptation degree is improved.
The present application provides a readable storage medium which, when executed by a processor, performs the method of any of the alternative implementations of the above embodiments. The storage medium may be implemented by any type of volatile or nonvolatile Memory device or combination thereof, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The readable storage medium is combined with the SWMM model to perform fixed runoff coefficient modeling, and in the modeling process, the composition of the sub-subareas in the drainage area and the reasonable setting of the parameters of the drainage area are combined, so that the defect that the SWMM cannot directly perform fixed runoff coefficient modeling is overcome when the engineering practice is approached, and the application adaptation degree is improved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Further, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and variations will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (8)

1. The modeling method for the fixed runoff coefficient of the drainage system based on the SWMM model is characterized by comprising the following steps of:
s1, selecting a simulation area based on basic data reflecting basic conditions of a rainwater pipeline and a drainage area, wherein the simulation area comprises a plurality of sub-drainage areas, each sub-drainage area is further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea comprises a penetration area A1, a non-penetration area A2 containing potholes and a non-penetration area A3 without potholes;
s2, setting parameters of each sub drainage area according to the following rules: the evaporation intensity is set to 0, the ratio of the snow melting free areas A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of the A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1 to A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is an inspection well or a discharge port;
and S3, triggering SWMM software to enter an operation mode to complete the modeling of the fixed runoff coefficient of the drainage system.
2. The method of claim 1, wherein the primary parameters of the sub-drainage zone include rain gauge, water outlet, area, width, non-permeable zone duty cycle, grade, side stone length, and snow accumulation.
3. The method of claim 1, wherein during modeling, the method further comprises:
s4, generalizing various line elements and point elements included in the simulation area to improve SWMM modeling quality and efficiency, wherein the line elements comprise at least one of municipal rainwater main pipes, user rainwater pipes and rainwater inlet connecting pipes, and the point elements comprise at least one of municipal rainwater inspection wells, rainwater inlets, blind wells and discharge ports.
4. The method of claim 1, wherein during modeling, the method further comprises:
s5, simulating a flow production process of the sub-drainage area by using the nonlinear reservoir so as to eliminate the influence of evaporation, snow melting, infiltration and surface flow on land mass flow, so that the land mass water yield is quickly converted into pipe network flow, wherein in the flow production process:
when the snow melting time is not needed, the evaporation intensity is 0, and the water storage depth of the depression is 0, the surface runoff is equal to the rainfall minus the infiltration;
when the Horton infiltration rate is constantly greater than the rainfall intensity, the net rainfall is completely and rapidly converted into surface runoff;
when the Manning coefficient of the permeable area and the non-permeable area is 0 and the runoff calculation option adopts OUTLET, runoffs generated by different underlaying surfaces and different sub drainage areas can be quickly connected into a pipe network.
5. The method of claim 4, wherein in step S5, the production process of the sub-drainage zone is simulated based on the following formula:
d is the water storage depth of the nonlinear reservoir, and the unit is mm; t is rainfall duration, and the unit is min; i is the precipitation intensity, and the unit is mm/h; e is evaporation intensity, and the unit is mm/h; f is the infiltration rate in mm/h; q is the surface runoff of unit area, and the unit is mm/h.
6. The method of claim 1, wherein during modeling, the method further comprises:
s6, comprehensively evaluating short-duration rainfall situations of the simulation area according to a storm intensity formula, wherein the design rain type adopts Chicago rain type, the rainfall duration is set to 2 hours, and the time sequence of rainfall events is obtained by deduction according to the following formula:
wherein t is rainfall duration, and the unit is min; p is the design reproduction period in years; q is the surface runoff of unit area, and the unit is L/(s.hm) 2 )。
7. A drainage system fixed runoff coefficient modeling system based on a SWMM model, the system comprising a simulation area selection module, a parameter setting module, and a modeling module, wherein:
the simulation area selection module is used for selecting a simulation area based on basic data reflecting basic conditions of a rainwater pipeline and a drainage area, the simulation area comprises a plurality of sub-drainage areas, each sub-drainage area is further subdivided into a plurality of sub-subareas by SWMM software according to hydrologic characteristics, and each sub-subarea comprises a permeable area A1, a non-permeable area A2 containing pits and a non-permeable area A3 without pits;
the parameter setting module is used for setting the parameters of each sub drainage area according to the following rules: the evaporation intensity is set to 0, the ratio of the snow melting free areas A2 and A3 is set to the comprehensive runoff coefficient of the simulation area, the ratio of the A3 is set to 100%, the water storage depth of the depressions of A1 and A2 is set to 0, the infiltration mode of A1 is set to Horton mode, the maximum infiltration rate and the minimum infiltration rate are equal and are larger than the peak intensity of the simulated rainfall time, the Manning coefficients of A1 to A3 are set to 0, the runoff calculation options among the two are set to OUTLET, and the water OUTLET is an inspection well or a discharge port;
and the modeling module is used for triggering SWMM software to enter an operation mode to complete the modeling of the fixed runoff coefficient of the drainage system.
8. A readable storage medium, characterized in that it comprises therein a SWMM model based drainage system fixed runoff coefficient modeling method program, which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7136756B1 (en) * 2004-11-02 2006-11-14 Vieux And Associates, Inc. Method for determining runoff
CN108446464A (en) * 2018-03-05 2018-08-24 重庆大学 A method of utilizing the big drainage system of SWMM model constructions
CN109492299A (en) * 2018-11-07 2019-03-19 南开大学 The water resource simulation method coupled based on SWMM with MODFLOW

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7136756B1 (en) * 2004-11-02 2006-11-14 Vieux And Associates, Inc. Method for determining runoff
CN108446464A (en) * 2018-03-05 2018-08-24 重庆大学 A method of utilizing the big drainage system of SWMM model constructions
CN109492299A (en) * 2018-11-07 2019-03-19 南开大学 The water resource simulation method coupled based on SWMM with MODFLOW

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