CN115130264A

CN115130264A - Urban waterlogging prediction method and system based on runoff coupling simulation

Info

Publication number: CN115130264A
Application number: CN202211060189.4A
Authority: CN
Inventors: 詹晗煜; 闵皆昇; 周璐; 吴健明; 高晗
Original assignee: Zhejiang Yuansuan Technology Co ltd
Current assignee: Zhejiang Yuansuan Technology Co ltd
Priority date: 2022-09-01
Filing date: 2022-09-01
Publication date: 2022-09-30
Anticipated expiration: 2042-09-01
Also published as: CN115130264B

Abstract

The invention discloses a method and a system for forecasting urban waterlogging based on runoff coupling simulation, and belongs to the technical field of urban waterlogging forecasting. The influence of the flow characteristic of the accumulated water on the model is not considered in the existing scheme, so that the scheme is not scientific and reasonable, and the analysis result is possibly not accurate enough. The invention relates to an urban inland inundation prediction method based on runoff coupling simulation, which comprises the steps of establishing an earth surface road runoff model and an underground pipe network system model; constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model, and performing coupling simulation calculation to obtain water level information and water flow vector flow velocity in an urban range; and predicting the urban road waterlogging condition according to the water level and the water flow vector flow rate. The method and the device fully consider the influence of the flow characteristics of the accumulated water on the model, can accurately predict the waterlogging condition of the urban road, have scientific and reasonable scheme, comprehensive consideration factors and accurate analysis result, and effectively improve the accuracy of model prediction.

Description

Urban waterlogging prediction method and system based on runoff coupling simulation

Technical Field

The invention relates to a method and a system for forecasting urban waterlogging based on runoff coupling simulation, and belongs to the technical field of urban waterlogging forecasting.

Background

With the continuous improvement of the terrain exploration technology and the remote measurement technology in China, the digital elevation model DEM/DSM data based on the aerial survey of the on-orbit satellite and the unmanned aerial vehicle can meet the requirement of establishing a high-precision digital model in an urban area.

The method can convert the mapped high-precision digital elevation model DEM or DSM data into corresponding GIS information by utilizing the modern GIS technology, and can achieve the purpose of establishing a high-precision two-dimensional finite element model by data analysis and operation based on the GIS information, thereby realizing simple hydraulic simulation and prediction. Such forecast warning methods usually require a large amount of effective data to calibrate the model, and the calculation result cannot reach the required accuracy due to the fact that the urban pipe network system cannot be completely considered.

In addition, hydrological model calculation adopted by part of technologies realizes a prediction function by introducing a city pipe network system to carry out two-dimensional hydrological and one-dimensional hydrodynamic research in a city area range. Although the urban waterlogging degree can be evaluated by the method, the method is limited by the computing power of the hydrological model, the simulation of local flood wave propagation caused by urban waterlogging cannot be realized, and the waterlogging change cannot be predicted in parts of roads and areas with complex building conditions. In addition, the urban waterlogging simulation research is carried out based on deep learning, a weather rain flood model and an expert experience formula.

The existing urban waterlogging prediction technology is mainly based on simple combination of weather forecast and an empirical formula, can effectively achieve the prediction function in a local range, but is limited by the simplicity of a system, and the waterlogging prediction of the whole urban area is not reliable. Because cities usually have complicated and complicated pipeline systems, the function of forecasting the urban waterlogging is not desirable only by means of single two-dimensional or even one-dimensional surface runoff. Nowadays, in order to realize the urban waterlogging prediction and early warning function according to weather forecast data, an integrated method capable of containing information such as an urban pipe network system, real-time rainfall forecast information, a two-dimensional high-precision urban digital simulation model and the like is urgently needed.

Chinese patent (publication number: CN 110298076A) discloses an urban waterlogging intelligent modeling and analyzing method based on GIS and SWMM, and a simulation system based on GIS and SWMM is constructed; carrying out automatic preprocessing on the model data and automatically identifying topological errors; combining rainfall, performing hydrological-hydrodynamic coupling model calculation based on SWMM, calculating the rainfall amount converged into a drainage pipe network system, simulating to obtain live information in the drainage pipe network, and obtaining pipe point overflow data; performing surface water flooding analysis according to the pipe point overflow data, simulating surface water to obtain the depth of the surface water, and distributing surface water flow based on a window method; and carrying out early warning analysis on the waterlogging of the surface water, comprehensively considering surface water prediction, and automatically dividing the waterlogging risk levels of different areas according to the result of the surface water flooding analysis based on the calculation result of the hydrologic-hydrodynamic coupling model so as to provide an early warning scheme for drainage waterlogging prevention emergency.

However, in the above scheme, the degree of the accumulated water is mainly considered, and the influence of the flow characteristic of the accumulated water on the model is not fully considered, so that the scheme is not scientific and reasonable, and the analysis result may not be accurate enough.

Furthermore, the scheme does not disclose how to calculate the ponding flow rate, so that the implementation of the waterlogging prediction scheme is influenced, the accuracy of model prediction is further influenced, and the popularization and the use are not facilitated.

Disclosure of Invention

Aiming at the defects of the prior art, the invention aims to provide a method for establishing an earth surface road runoff model and an underground pipeline network system model; constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model, and performing coupling simulation calculation on the surface road runoff, the infiltration point and the underground pipe network system to obtain water level information and water flow vector flow rate within an urban range; and then according to the water level and the water flow vector flow rate, predicting the urban road waterlogging condition.

The invention also aims to provide a runoff coupling simulation-based urban waterlogging prediction method which fully considers the influence of the flowing characteristics of the ponding on the model, obtains the water flow vector flow rate within the urban range by using the coupling simulation model, accurately predicts the waterlogging condition of the urban road according to the water level and the water flow vector flow rate, has scientific and reasonable scheme and accurate analysis result, effectively improves the model prediction accuracy, and is beneficial to popularization and use.

The third purpose of the invention is to provide a method which can realize the requirements of the whole process from data access to waterlogging forecast, and considers the main influence factors of urban underground seepage, surface road runoff, underground pipe network and the like, thereby accurately calculating the ponding information (water level) of the surface road and the water flow velocity of the ponding area; according to the ponding information and the water flow velocity, the waterlogging risks of all communities and the waterlogging degree of a key concern area can be divided, and the urban waterlogging prediction method and system based on runoff coupling simulation are used for accurately predicting urban roads.

The fourth purpose of the invention is to provide a coupling simulation module which can exchange and process key data groups between an underground pipe network system model module and an earth surface road runoff module, prepare for the next coupling time step and realize a starting point of coupling closed loop and continuous iteration; the method can transmit data to the urban waterlogging forecasting risk module to forecast the urban road waterlogging condition, is scientific and reasonable in scheme and accurate in analysis result, effectively improves model forecasting accuracy, and is beneficial to popularization and application of the urban waterlogging forecasting system based on runoff coupling simulation.

In order to achieve one of the above objects, a first technical solution of the present invention is:

a method for forecasting urban waterlogging based on runoff coupling simulation,

the method comprises the following steps:

acquiring urban geographic data information, and determining urban areas and boundaries;

processing the urban area and the boundary by utilizing a pre-established surface road runoff model to obtain surface road runoff;

calculating urban underground pipe network data through a pre-built underground pipe network system model, and determining infiltration points of the urban surface and the underground pipe network system;

performing coupling simulation calculation on surface road runoff, infiltration points and an underground pipe network system through a pre-constructed coupling simulation model to obtain water level information and water flow vector flow rate within an urban range;

and predicting the urban road waterlogging condition according to the water level and the water flow vector flow rate.

Through continuous exploration and test, the invention constructs a surface road runoff model and an underground pipe network system model; constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model, and performing coupling simulation calculation on the surface road runoff, the infiltration point and the underground pipe network system to obtain water level information and water flow vector flow rate within an urban range; and predicting the urban road waterlogging condition according to the water level and the water flow vector flow rate.

Furthermore, the influence of the flow characteristics of the accumulated water on the model is fully considered, the coupling simulation model is utilized to obtain the water flow vector flow speed in the urban range, and the waterlogging condition of the urban road is accurately predicted according to the water level and the water flow vector flow speed.

Furthermore, the urban waterlogging prediction method based on the coupling of the underground pipe network system and the surface runoff can meet the requirements of the whole process from data access to waterlogging prediction, and considers the main influence factors of urban underground seepage, surface road runoff, an underground pipe network and the like, so that the ponding information (water level) of the surface road and the water flow velocity of a ponding area can be accurately calculated; according to the ponding information and the water flow rate, the waterlogging risks of various communities and the waterlogging degree of a key concern area can be divided, and the urban road can be accurately predicted.

As a preferable technical measure:

the method for establishing the surface road runoff model comprises the following steps:

determining a coverage area of the surface road runoff model according to requirements based on the satellite map or/and the geographic data;

establishing a two-dimensional finite element grid according to the coverage area, and removing the part of the two-dimensional finite element grid, which has the building;

performing data interpolation on each urban grid node of the two-dimensional finite element grid to enable each urban grid node to have ground elevation information;

on the basis of the urban grid nodes, according to the types and attributes of underlying surfaces of covered areas, soil infiltration coefficients of the current areas are set according to different urban blocks, friction coefficients are set for each urban road, and the surface road runoff model is built.

As a preferable technical measure:

the method for building the underground pipe network system model comprises the following steps:

combining a plurality of rainwater pipe networks and rainwater wellheads through underground pipe network design data of the urban area to form a lower seepage point required by the coupling process;

acquiring a standard height of a wellhead, a standard height of a well bottom and the pipe diameter and the shape of an underground pipeline according to the infiltration point and by using elevation survey data of an urban underground pipeline network system model;

determining the friction coefficient of the underground pipeline according to the material of the underground pipeline and the old and new degree of the pipeline;

and restoring the pipeline connection between the real urban pipe network systems according to the friction coefficient and the topological relation data based on the urban underground pipe network system model to form an underground pipe network system model matched with the coverage area of the surface road runoff model.

As a preferable technical measure:

the lower seepage point is a well mouth of the earth surface or a pipe network water outlet or a pump station inlet, and the determination process is as follows:

unifying underground pipe network distribution and urban road distribution data by using a unified reference coordinate system to respectively obtain coordinate values of a surface road runoff model and an underground pipe network system model;

the position point of the surface road runoff model, which is consistent with the coordinates of the underground pipe network system model, is a infiltration point;

and for the infiltration points which are not distributed in the urban road area, adjusting the coordinates of the infiltration points to the street with the nearest distance in the surface road runoff model, so that all the infiltration points are positioned on the urban road.

As a preferable technical measure:

the coupling simulation model calculates water level information and water flow vector flow rate in an urban range through a two-dimensional hydrodynamic control equation, and comprises a triggering judgment stage, a coupling logic stage and a data transmission stage;

the two-dimensional hydrodynamic force control equation is constructed according to the water depth of the urban grid nodes, the extra water depth brought by the underground pipe network system model, the well head radius, the water flow vector flow velocity and the velocity component of the urban grid nodes, the urban surface elevation, the gravity acceleration, the viscosity coefficient of surface water and an extra flow matrix.

As a preferable technical measure:

the triggering judgment stage is used for judging whether the coupling process enters a coupling logic stage through data comparison and the running state of a coupling simulation model, and specifically comprises the following contents:

calculating a time step by using an underground pipe network system model, and determining a road coupling moment and a pipeline coupling moment;

acquiring current calculation time steps of an underground pipe network system model and an earth surface road runoff model, and judging whether the time steps are at a preset coupling moment or not according to the road coupling moment and the pipeline coupling moment;

extracting the calculation data of the infiltration point or the calculation data of the grid node closest to the infiltration point according to the time step;

forming a key data group by a plurality of calculation data, wherein the key data group comprises wellhead water depth data, overfilling well depth data, surface water bit data and horizontal plane data;

the well mouth water depth data is a well mouth water depth value in an underground pipe network system model coupled at the previous moment at each infiltration point;

the overcharge well depth data are overcharge well depth values in the underground pipe network system model coupled at the previous moment at each infiltration point; the depth value of the overcharged well is the distance between the overcharge water surface and the elevation of the well head;

the surface water level data is the surface water level value in the surface road runoff model at the previous moment coupled at each infiltration point or at the grid node closest to the infiltration point;

the horizontal plane data is a horizontal plane value in the surface road runoff model at the previous moment coupled at each infiltration point or at the urban grid node closest to the infiltration point;

performing coupling judgment on the calculation data, wherein the coupling judgment comprises the following contents:

when the over-filled water does not exist, the well mouth water depth data can be smaller than the over-filled well depth data;

when the water is over-filled, namely the blowout phenomenon occurs at the current wellhead because the bearing capacity of the pipeline reaches the upper limit, the values of the water and the pipeline are kept the same;

when water accumulation occurs on the road, the surface water level data is larger than the horizontal plane data;

when the road has no water accumulation, the surface water level data will be equal to the level data.

As a preferable technical measure:

the coupling logic stage selects a corresponding coupling model according to data difference in the key data groups by importing the key data groups; calculating according to the corresponding coupling model to obtain water level information and water flow vector flow speed data in the city range, and transferring to a data transmission stage, wherein the method specifically comprises the following steps:

the respective coupling models include: the coupling model A or/and the coupling model B or/and the coupling model C or/and the coupling model D;

the coupling model A is used for keeping the data of the underground pipe network system model unchanged and adjusting the surface road runoff model to develop towards waterlogging reduction; the activation condition is as follows:

the underground pipe network system model is not overloaded yet and is in a waterlogging state, and the surface road runoff model is in a waterlogging state; or the underground pipe network system model and the surface road runoff model are not in an inland inundation state;

the coupling model a includes the following:

acquiring infiltration data of each infiltration point in the underground pipe network system model, and recording the infiltration data in a data exchange library;

traversing data in a data exchange base, checking the validity of the data, and calculating to obtain exchange flow data;

transmitting exchange flow data to the surface road runoff model at the infiltration point of the surface road runoff model in the form of extra flow;

calculating the water levels and the water flow vector flow rates of other urban grid nodes by using a two-dimensional hydrodynamic control equation of the surface road runoff model;

the coupling model B is used for adjusting the underground pipe network system model to develop towards the overload direction and adjusting the surface road runoff model to develop towards waterlogging reduction; the activation condition is as follows:

the underground pipe network system model reaches a critical interval, and the surface road runoff model is in an inland inundation state;

the coupling model B comprises the following:

acquiring blowout data of each lower seepage point in the underground pipe network system model, and transmitting the data to a data exchange library;

traversing data in a data exchange library, checking the validity of the data, and calculating to obtain exchange flow data;

transmitting the exchange flow data to the surface road runoff model in the form of extra flow;

calculating the water levels and the water flow vector flow rates of other urban grid nodes by using a two-dimensional hydrodynamic force control equation of the surface road runoff model;

the coupling model C is used for adjusting the surface road runoff model to develop towards the direction predicted by the underground pipe network system model and keeping the underground pipe network system model unchanged; the activation condition is as follows:

the underground pipe network system model is overloaded and is in a waterlogging state, and the surface road runoff model is in a waterlogging state; or the underground pipe network system model reaches a critical interval, and the surface road runoff model is not in an inland inundation state;

the coupling model C includes the following:

acquiring blowout data at each lower water seepage point and infiltration data at each lower water seepage point in the underground pipe network system model, and transmitting the data to a data exchange library;

transmitting the exchange flow data to the surface road runoff model;

the coupling model D is used for adjusting the underground pipe network system model to develop towards a critical area and adjusting the surface road runoff model to develop towards the waterlogging direction; the activation condition is as follows:

the underground pipe network system model is overloaded and is in a waterlogging state, and the surface road runoff model is not in the waterlogging state;

the coupling model D includes the following:

acquiring blowout data at each lower seepage point and seepage data at each lower seepage point in the underground pipe network system model, and transmitting the data to a data exchange library;

and calculating the water levels and the water flow vector flow rates of other urban grid nodes by using a two-dimensional hydrodynamic control equation of the surface road runoff model.

As a preferable technical measure:

selecting a certain coupling model according to the coupling logic by coupling simulation calculation, exchanging and processing a key data set between the underground pipe network system model and the surface road runoff model, and preparing for the next coupling time step to realize a starting point of coupling closed loop and continuous iteration;

when all the coupling time steps have finished the operation of each stage of the coupling simulation model, after the simulation calculation of the underground pipe network system model and the surface road runoff model is finished, the coupling operation step is stopped, and all the data results are packaged into binary files;

when the operation of each stage of the coupling simulation model is not completed in a plurality of coupling time steps, the simulation calculation of the underground pipe network system model and the surface road runoff model is continuously carried out, and the coupling operation is started from the triggering judgment stage until the simulation calculation of all the coupling time steps is completed.

In order to achieve one of the above objects, a second technical solution of the present invention is:

a method for forecasting urban inland inundation based on runoff coupling simulation,

the method comprises the following steps:

firstly, constructing a digital elevation model based on urban geographic data information, and determining an urban area and a boundary;

the urban geographic data information at least comprises urban roads and buildings or/and greenbelts or/and rivers and lakes;

secondly, establishing an earth surface road runoff model according to the urban area and the boundary in the first step;

the surface road runoff model is used for calculating surface road runoff;

thirdly, building an underground pipe network system model in the area set by the surface road runoff model in the second step based on urban underground pipe network data;

the underground pipe network system model is used for calculating an underground pipe network system;

the pipe network data at least comprises well depth and well bottom elevation or/and pipe diameter or/and pipe material or/and pipe connection information;

fourthly, according to the underground pipe network system model in the third step, determining the infiltration point of the urban surface, and loading the topological information of the infiltration point of the urban surface to the surface road runoff model in the third step;

fifthly, based on forecasted hourly weather information, constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model in the fourth step, and performing coupling simulation calculation on surface road runoff, infiltration points and the underground pipe network system to obtain water level information and water flow vector flow rate in a city range;

and sixthly, predicting the urban road waterlogging condition according to the water level and the water flow vector flow rate in the fifth step.

Through continuous exploration and test, a digital elevation model, an earth surface road runoff model and an underground pipeline system model are established; constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model, and performing coupling simulation calculation on the surface road runoff, the infiltration point and the underground pipe network system to obtain water level information and water flow vector flow rate within an urban range; and predicting the urban road waterlogging condition according to the water level and the water flow vector flow rate.

Furthermore, the influence of the flow characteristics of the accumulated water on the model is fully considered, the flow vector flow rate in the urban range is obtained by using the coupling simulation model, the waterlogging condition of the urban road is accurately predicted according to the water level and the flow vector flow rate, the scheme is scientific and reasonable, the analysis result is accurate, the model prediction accuracy is effectively improved, and the method is beneficial to popularization and use.

Furthermore, the urban waterlogging prediction method based on the coupling of the underground pipe network system and the surface runoff can meet the requirements of the whole process from data access to waterlogging prediction, and considers the main influence factors of urban underground seepage, surface road runoff, an underground pipe network and the like, so that the ponding information (water level) of the surface road and the water flow velocity of a ponding area can be accurately calculated; according to the accumulated water information and the water flow rate, the waterlogging risk of each community and the waterlogging degree of a key attention area can be divided, and the urban road can be accurately predicted.

Furthermore, compared with the traditional urban waterlogging forecasting method, the urban waterlogging forecasting method can dynamically display and forecast the urban waterlogging change situation in real time, provide scientific basis for the decision of a command unit and reserve enough time for the rapid response of a flood control unit. To achieve one of the above objects, a third technical solution of the present invention is:

an urban waterlogging prediction system based on runoff coupling simulation,

applying the urban waterlogging prediction method based on runoff coupling simulation;

the system comprises a digital elevation module, an earth surface road runoff module, an underground pipe network system model module, a coupling simulation module and an urban waterlogging risk prediction module:

the digital elevation module is used for determining an urban area and a boundary;

the surface road runoff module is used for calculating surface road runoff;

the underground pipe network system model module is used for calculating an underground pipe network system;

the coupling simulation module comprises a trigger judgment unit, a coupling logic unit and a data transmission unit and is used for carrying out coupling simulation calculation on surface road runoff, infiltration point positions and an underground pipe network system to obtain water level information and water flow vector flow rate in an urban range;

and the urban waterlogging risk forecasting module is used for forecasting the urban road waterlogging condition.

The coupling simulation module exchanges and processes a key data set between the underground pipe network system model module and the surface road runoff module, prepares for the next coupling time step, and realizes a starting point of coupling closed loop and continuous iteration; and data are transmitted to the urban waterlogging prediction module to predict the urban road waterlogging condition, the scheme is scientific and reasonable, the analysis result is accurate, and the accuracy of model prediction is effectively improved.

Furthermore, the urban waterlogging prediction system based on the coupling of the underground pipe network system and the surface runoff can meet the requirements of the whole process from data access to waterlogging prediction, and considers the main influence factors of urban underground seepage, surface road runoff, an underground pipe network and the like, so that the accumulated water information (water level) of the surface road and the water flow velocity of a water accumulation area can be accurately calculated; according to the ponding information and the water flow rate, the waterlogging risks of various communities and the waterlogging degree of a key concern area can be divided, and the urban road can be accurately predicted.

Compared with the prior art, the invention has the following beneficial effects:

the invention establishes a surface road runoff model and an underground pipe network system model through continuous exploration and test; constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model, and performing coupling simulation calculation on the surface road runoff, the infiltration point and the underground pipe network system to obtain water level information and water flow vector flow velocity in an urban range; and predicting the urban road waterlogging condition according to the water level and the water flow vector flow rate.

Furthermore, the influence of the flow characteristics of the accumulated water on the model is fully considered, the flow vector flow rate in the urban range is obtained by using the coupling simulation model, the waterlogging condition of the urban road is accurately predicted according to the water level and the flow vector flow rate, the scheme is scientific and reasonable, the analysis result is accurate, and the model prediction accuracy is effectively improved.

Furthermore, compared with the traditional urban waterlogging prediction method, the urban waterlogging prediction method can dynamically display and predict the urban waterlogging change situation in real time, provide scientific basis for the decision of a command unit and reserve enough time for the rapid response of an emergency unit.

Furthermore, the coupling simulation module exchanges and processes a key data set between the underground pipe network system model module and the surface road runoff module, prepares for the next coupling time step, and realizes a starting point of coupling closed loop and continuous iteration; and data are transmitted to the urban waterlogging prediction module to predict the urban road waterlogging condition, the scheme is scientific and reasonable, the analysis result is accurate, and the accuracy of model prediction is effectively improved.

Drawings

FIG. 1 is a schematic flow chart of a prediction method according to the present invention;

FIG. 2 is a structural diagram of a two-dimensional finite element mesh of the present invention;

FIG. 3 is a simplified logic diagram of an underground piping system according to the present invention;

FIG. 4 is a schematic view of a conventional underground piping network;

FIG. 5 is a rainfall sequence chart used in an embodiment of the present invention,

wherein: horizontal axis: time (h), vertical axis: rainfall intensity (mm/h);

FIG. 6 is a graph of water distribution of waterlogging for a region as predicted by the present invention (time t is 0h and 24h, respectively);

wherein, the white area represents the area without water accumulation, and the dark area represents the area with high water accumulation;

FIG. 7 is a graph of water distribution of waterlogging for an area as predicted by the present invention (times t are 28h and 32h, respectively);

fig. 8 is a diagram of distribution of waterlogging flow velocity in a certain area predicted by the present invention (time t is 0h and 24h respectively);

wherein, the white area represents no flow area, and the dark area represents flow area;

FIG. 9 is a graph of the distribution of water flow rate of inland inundation in a certain area predicted by the present invention (time t is 28h and 32h respectively);

the white areas indicate no-flow areas, and the dark areas indicate flow areas.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.

On the contrary, the invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention as defined by the appended claims. Furthermore, in the following detailed description of the present invention, certain specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without these specific details.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "or/and" includes any and all combinations of one or more of the associated listed items.

As shown in fig. 1, the first embodiment of the urban waterlogging prediction method based on runoff coupling simulation of the present invention:

a runoff coupling simulation-based urban inland inundation prediction method comprises the following steps:

processing urban areas and boundaries by using a pre-established surface road runoff model to obtain surface road runoff;

The second specific embodiment of the urban waterlogging prediction method of the invention comprises the following steps:

a runoff coupling simulation-based urban waterlogging prediction method comprises the following steps:

firstly, constructing a digital elevation model DEM based on urban geographic data information, and determining an urban area and a boundary;

the surface road runoff model is used for calculating surface road runoff;

fourthly, according to the underground pipe network system model in the third step, determining the lower seepage points of the urban surface, and loading the topological information of the lower seepage points of the urban surface to the surface road runoff model in the third step;

fifthly, based on forecasted hourly weather information, constructing a coupling simulation model according to the surface road runoff model and the underground pipe network system model in the fourth step, and performing coupling simulation calculation on the surface road runoff, the infiltration point and the underground pipe network system to obtain water level information and water flow vector flow rate of the infiltration point;

The third embodiment of the urban waterlogging prediction method of the invention comprises the following steps:

an urban waterlogging prediction method based on underground pipe network and surface runoff coupling simulation comprises the following steps:

firstly, determining urban areas and boundaries of a built model and underlying surface attributes of different simulation areas based on relevant urban geographic data information of urban roads, buildings, greenbelts, rivers, lakes and the like and digital elevation model DEM data, and establishing a two-dimensional finite element digital model for calculating surface road runoff;

secondly, building a digital model of the underground pipe network system model in a surface model area through pipe network data such as well depth, well bottom elevation, pipe diameter, pipe material, pipe connection information and the like based on the field survey result of the urban underground pipe network system model;

thirdly, determining common urban subsurface infiltration point positions in the urban road and underground pipe network system models based on the distribution information of the urban road and underground pipe network system models, generally speaking, coordinates corresponding to well mouths of a pipe network system, and compiling topological information of the point positions into an surface road runoff model;

fourthly, based on forecasted hourly weather information, carrying out simulation calculation on a comprehensive underground pipe network system model and surface road runoff in real time according to coupling logic to obtain predicted urban area road real-time ponding information;

and fifthly, extracting calculated values of water levels and flow rates of grid units where important road areas of the city are located from the implementation numerical simulation result based on the road waterlogging information, evaluating road waterlogging conditions and regional waterlogging risks of the city under waterlogging according to related requirements of the local city, and butting the calculated values to other data platforms according to requirements.

The invention establishes a specific embodiment of a surface road runoff model of an urban area:

the construction method of the surface road runoff model comprises the following steps:

step 21, determining a coverage area of the surface road runoff model according to requirements based on the satellite map and the geographic data; classifying the urban land according to the attributes of roads, buildings, greenbelts, river, lake water system areas and street road underlying surfaces;

step 22, establishing a two-dimensional finite element grid according to the coverage area in the step 21, and rejecting a part of the building in the two-dimensional finite element grid, referring to fig. 2; the water system part in the grid is removed (if needed), and for the road part, in order to reasonably represent the surface runoff condition, a two-dimensional finite element grid needs to be additionally encrypted to ensure that the road grid precision is at a higher level;

step 23, interpolating the digital elevation model DEM data to each city grid node of the two-dimensional finite element grid in the step 22, ensuring that each city grid node has ground elevation information, and building a ground surface digital model;

and step 24, on the basis of the surface digital model in the step 23, setting soil infiltration coefficients of the current area according to the types and attributes of underlying surfaces of the coverage area and different city blocks, setting friction coefficients for each city road, and establishing a surface road runoff model.

First embodiment of the invention for establishing an underground pipe network system model of an urban area

step 31, combining a plurality of rainwater pipe networks and rainwater wellheads through underground pipe network design data of the urban area to form a lower seepage point required by the coupling process;

step 32, acquiring a standard height of a wellhead, a standard elevation of a well bottom and the pipe diameter and the shape of an underground pipeline by utilizing elevation survey data of the urban underground pipe network system model according to the infiltration point in the step 31;

the difference value between the standard height of the well mouth and the standard height of the well bottom is the well depth;

step 33, determining the friction coefficient of the underground pipeline according to the material of the underground pipeline and the old and new degree of the pipeline in the step 32;

and step 34, restoring the pipeline connection between the real urban pipe network systems according to the friction coefficient in the step 33 and the topological relation data based on the urban underground pipe network system model to form an underground pipe network system model matched with the coverage area of the surface road runoff model.

The invention establishes a second specific embodiment of an underground pipe network system model of an urban area:

the construction process of the underground pipe network system model comprises the following steps:

a. according to the design data of the underground pipe network of the urban area, the digital model of the urban pipe network is simplified according to certain logic, and part of the rainwater pipe network and the rainwater well head are combined to form the infiltration point required by the coupling process, which is shown in figure 3;

b. based on the elevation survey data of the urban underground pipe network system model, introducing the standard height of a wellhead, the standard height of a well bottom and the difference between the standard height and the standard height of the well bottom of each well head into the digital model to be recorded as well depth; in the model, the position of the pipeline is assumed to be directly connected with the bottom of the well, and if the buried depth of the underground pipeline in survey data is inconsistent with the bottom of the well, the offset of the pipeline in the well needs to be additionally introduced;

c. introducing the pipe diameter and the shape of each underground pipeline into the digital model based on the attribute survey data of the urban underground pipeline network system model; referring to fig. 4, the friction coefficient of each pipeline is respectively introduced according to different materials used by the pipeline and the new and old degree of the pipeline;

d. and based on the topological relation data of the urban underground pipe network system model, reducing the pipeline connection among the urban real pipe network systems in the digital model to form the underground pipe network system model digital model covering the whole simulation area.

The first embodiment of the invention for determining the infiltration point position is as follows:

and for the infiltration points which are not distributed in the urban road area, adjusting the coordinates of the infiltration points to the street with the nearest distance in the surface road runoff model so as to ensure that all the infiltration points are positioned on the urban road.

The second embodiment of the invention for determining the infiltration point is as follows:

the method for determining the infiltration point comprises the following steps:

a. based on urban road information and underground pipe network distribution information, unifying underground pipe network distribution and urban road distribution drawings by using a unified reference coordinate system, such as a CGCS2000 national geodetic coordinate system;

b. determining an infiltration point position which is consistent with the coordinates of the underground pipe network system model in the surface road runoff model according to an infiltration point position simplification standard when the underground pipe network system model is established, wherein the infiltration point position is usually a wellhead of an underground pipe network on the surface, and part of the infiltration point position may be a pipe network water outlet or a pump station inlet;

c. and for the infiltration points which are not distributed on the grids of the urban road area, adjusting the coordinates of the infiltration points to the street with the nearest distance in the surface road runoff model, and ensuring that all the infiltration points are positioned on the urban road.

The invention relates to a specific embodiment of a coupling simulation model, which comprises the following steps:

the calculation formula of the two-dimensional hydrodynamic force control equation is as follows:

in the formula, h represents the water depth of the urban grid node;

representing the extra water depth brought by the underground pipe network system model; r represents the wellhead radius; v represents the water flow vector flow rate of the urban grid node;

represents the average velocity component of the perpendicular in the x direction;

representing the average velocity component of the vertical line in the y direction; b represents the elevation of the urban ground surface; g represents the gravitational acceleration;

to represent surface waterThe viscosity coefficient of (a) is,

representing an additional flow matrix, present only at the hypotonic sites.

The invention triggers a specific embodiment of the judging stage:

the triggering judgment stage is used for judging whether the coupling process enters the coupling logic stage or not through data comparison and the running state of the coupling simulation model, and specifically comprises the following steps:

step 51, calculating time step by using an underground pipe network system model, and determining road coupling time

And time of coupling with pipeline

；

Step 52, obtaining the current calculation time step of the underground pipe network system model and the surface road runoff model

And according to the road coupling time

And time of coupling with pipeline

Judging the time step

Whether the coupling moment is preset or not;

the judgment relation is as follows:

；

step 53, according to the time step in step 52

Extracting the calculation data of all infiltration points in the underground pipe network system model and the surface road runoff model or the calculation data of the grid nodes closest to the infiltration points;

the plurality of calculated data form a key data set comprising wellhead water depth data

Overcharge well depth data

Surface water level data

Horizontal plane data

；

The wellhead water depth data

Coupling a wellhead water depth value in the underground pipe network system model at the previous moment at each infiltration point;

the overfill well depth data

Coupling an overfilled well depth value in the underground pipe network system model at the previous moment at each infiltration point; the depth value of the overcharged well is the distance between the overcharge water surface and the elevation of the well head;

the surface water level data

Coupling the surface level value in the surface road runoff model at the previous moment at each infiltration point or a grid node closest to the infiltration point;

the level data

Coupling the horizontal surface value in the surface road runoff model at the previous moment at each infiltration point or at the grid node closest to the infiltration point;

step 54, performing a coupling judgment on the calculated data in step 53, wherein the coupling judgment comprises the following contents:

when the over-filled water does not exist, the well mouth water depth data can be smaller than the over-filled well depth data, namely

；

When the water is over-filled, namely the blowout phenomenon occurs at the current wellhead because the bearing capacity of the pipeline reaches the upper limit, the values of the water and the wellhead are kept the same, namely

；

When water accumulation occurs on the road, the surface water level data is larger than the horizontal plane data, namely

；

When the road has no accumulated water, the surface water level data will be equal to the level data, i.e.

。

One embodiment of the coupling logic stage of the present invention:

the respective coupling models include: a coupling model A, a coupling model B, a coupling model C and a coupling model D;

the coupling model A is used for keeping the data of the underground pipe network system model unchanged and adjusting the surface road runoff model to develop towards waterlogging reduction;

the activation condition is as follows:

or

；

Namely, the underground pipe network system model is not overloaded yet and is in a waterlogging-free state, and the surface road runoff model is in a waterlogging state;

or the underground pipe network system model and the surface road runoff model are not in an inland inundation state;

the coupling model B is used for adjusting the underground pipe network system model to develop towards the overload direction and adjusting the surface road runoff model to develop towards waterlogging reduction;

the activation condition is as follows:

，

namely, the underground pipe network system model reaches a critical interval, and the surface road runoff model is in an inland inundation state;

the coupling model C is used for adjusting the surface road runoff model to develop towards the direction predicted by the underground pipe network system model and keeping the underground pipe network system model unchanged;

the activation condition is as follows:

or

，

The underground pipe network system model is overloaded and is in an inland inundation state, and the surface road runoff model is in an inland inundation state;

or the underground pipe network system model reaches a critical interval, and the surface road runoff model is not in an inland inundation state;

the coupling model D is used for adjusting the underground pipe network system model to develop towards a critical area and adjusting the surface road runoff model to develop towards an inland inundation direction;

the activation condition is as follows:

namely, the underground pipe network system model is overloaded and is in a waterlogging state, and the surface road runoff model is not in the waterlogging state.

The coupling model A drives the surface road runoff model to develop towards or keep in a waterlogging-free state, so that the development trends of the surface road runoff model and the underground pipe network system model are consistent, and the construction method comprises the following steps:

step A1, acquiring infiltration data at each infiltration point in the underground pipe network system model

And recording the data in a data exchange base;

step A2, traversing all data in the data exchange base in the step A1, checking the validity of each data, ensuring the robustness of the data transmission stage, and calculating to obtain the exchange flow data

；

Step A3, transmitting the exchange flow data in the step A2 to the surface road runoff model in the form of extra flow at the lower seepage point of the surface road runoff model, wherein the transmission process is as follows:

；

step A4, converting the sequence of step A3

Adding the water level and the water flow vector flow rate of other urban grid nodes into a two-dimensional hydrodynamic control equation of the surface road runoff model;

the coupling model B drives the underground pipe network system model to develop towards waterlogging reduction and drives the surface road runoff model to develop towards waterlogging prevention, and the construction method comprises the following steps:

step B1, well blowout data of each lower water seepage point in the underground pipe network system model is obtained

And transmitting the data to a data exchange library;

step B2, traversing all data in the data exchange library in the step B1, checking the validity of each data, ensuring the robustness of the data transmission stage, and calculating to obtain exchange flow data, wherein the calculation formula is as follows;

；

step B3, transmitting the data of the exchange flow in the step B2 to the surface road runoff model in the form of additional flow, wherein the transmission process is as follows:

；

step B4, step B3

Adding the water level and the water flow vector flow rate of other urban grid nodes into a two-dimensional hydrodynamic force control equation of the surface road runoff model;

the coupling model C drives the development trend of the surface road runoff model to be consistent with that of the underground pipe network system model, and the construction method is as follows:

step C1, well blowout data of each lower water seepage point in the underground pipe network system model is obtained

And infiltration data at each infiltration site

And transmitting the data to the dataIn a switching bank;

step C2, traversing all data in the data exchange database in the step C1, checking the validity of each data, ensuring the robustness of the data transmission stage, and calculating to obtain exchange flow data;

the calculation formula of the exchange flow data is as follows:

；

and C3, transmitting the exchange flow data in the step C2 to the surface road runoff model, wherein the transmission process is as follows:

；

step C4, the step C3

the coupling model D drives the underground pipe network system model to develop towards the surface road runoff model, namely towards the waterlogging prevention direction, or drives the surface road runoff model to develop towards the underground pipe network system model, namely towards the waterlogging direction; the construction method comprises the following steps:

step D1, well blowout data of each lower water seepage point in the underground pipe network system model is obtained

Infiltration data at each infiltration site

And transmitting the data to a data exchange library;

step D2, traversing all data in the data exchange base in the step D1, checking the validity of each data, ensuring the robustness of the data transmission stage, and calculating to obtain the exchange flow data

；

Step D3, transmitting the data of the exchanged traffic in the step D2 to the surface road runoff model in the form of extra traffic, wherein the transmission process is as follows:

；

step D4, step D3

And adding the water level and the water flow vector flow rate of other urban grid nodes into a two-dimensional hydrodynamic control equation of the surface road runoff model, and calculating.

The invention relates to a specific embodiment of coupling simulation calculation, which comprises the following steps:

when all the coupling time steps have finished the operation of the three stages of the coupling simulation model, after the simulation calculation of the underground pipe network system model and the surface road runoff model is finished, the coupling operation step is stopped, and all the data results are packaged into binary files;

when the operation of three stages of the coupling simulation model is not completed in a plurality of coupling time steps, the simulation calculation of the underground pipe network system model and the surface road runoff model is continuously carried out, and the coupling operation is started from the triggering judgment stage until the simulation calculation of all the coupling time steps is completed.

The urban waterlogging prediction method based on the coupling of the underground pipe network system model and the surface runoff can meet the requirements of the whole process from data access to waterlogging prediction, considers the main influence factors of urban underground seepage, surface road runoff, underground pipe networks and the like, can be applied to the whole urban area, and has higher advancement and innovation. By the aid of the innovative internal coupling underground pipe network system model and the surface road runoff model, the problems and the defects that an empirical prediction method and a simple simulation prediction method are limited in application range, comprehensive factors are not in place and the like are solved and overcome.

One specific embodiment of the application of the invention:

in an old urban area of a certain plain city in the middle of China, due to the fact that pipe network systems in part of the area are aged or have limited drainage capacity, under the condition of ordinary rainfall in weekdays, waterlogging easily occurs on part of road interfaces (overpasses, culvert openings, low terrain and the like), the urban waterlogging prediction method provided by the invention needs to be implemented for the urban area, and the prediction result of the method is accessed into an emergency response command platform. The area of the old urban area predicted based on the method is 9036 hectares, the average gradient is 0.432, and the urban ground elevation range is between about 50m and 70 m.

By applying the urban waterlogging prediction method, firstly, an earth surface road runoff model and an underground pipe network system model of an urban area need to be built.

The construction process of the surface road runoff model is as follows:

1. marking roads, buildings, greenbelts, rivers and lake water system areas existing in urban areas by using a heaven-earth map online map and geographic information such as an urban area planning map and the like as auxiliary materials;

2. according to the geographic information, after urban buildings are deducted, a two-dimensional finite element grid is established in an urban area, wherein a grid-free area is a building (house), and partial grids of a road are encrypted to 2m precision; and (3) building a two-dimensional finite element triangular unstructured grid with normal precision (5 m) for the lake area.

3. Inserting digital elevation model DEM data into each node of the two-dimensional grid in a linear interpolation mode, wherein the difference of surface elevations is represented by the difference of gray levels of the digital elevation model DEM data, and therefore a two-dimensional surface road runoff model in an urban area is built;

4. according to a city regional planning map and different blocks in different old cities, the soil infiltration coefficient of the region is set by referring to the table 1, the friction coefficient of each street in the city is set, and the parameter setting of the surface road runoff model is completed.

TABLE 1 corresponding parameters of soil types in urban areas

The underground pipe network system model building process is as follows:

1. comprehensively using model design drawings and survey drawings of the underground pipe network system in the old urban area, and establishing the underground pipe network system model in the urban area based on the simplified underground pipe network system model, wherein the simplification rules are as follows:

a) reserving a downward seepage point at each road junction, reserving an underground pipe network junction and recording the underground pipe network junction as the downward seepage point;

b) reserving an initial node (well point) and a tail end node or a water outlet node of each section of pipe network, and recording as a lower seepage point; if the water outlet node is in a river, lake or other water system or a rain sewage treatment plant, the water outlet node is not recorded as a lower seepage point;

c) if the current street land attribute is single, combining nodes with the pipeline length within 100m for the current street, and recording as infiltration point positions;

d) if the current street land attribute is complex, combining nodes with the pipeline length within 50m for the current street, and recording as the infiltration point.

2. Based on actual measurement data and well surface height data of the well depth of the urban underground pipe network in the underground pipe network system model, carrying out statistics to obtain well depth data of each well point; for well points not additionally noted, it is assumed that the connection of the pipe to the well is at the bottom of the well, as shown in fig. 4; for the marked well points, additionally introducing the longitudinal offset of the pipeline in the well according to the actual measurement label;

3. the friction coefficients of the pipelines in the pipe network are set based on the actually measured material data and the old and new degree of the underground pipe network system model, and as the pipe network mainly comprises a glass fiber reinforced plastic sand inclusion pipe, a brick-concrete structure pipe and a polyethylene pipe in the embodiment, the corresponding friction coefficients are respectively 0.01 and 0.015-0.02 (depending on the old and new range) when the underground pipe network system model is introducedDegree determination) and 0.009; the shape and parameters of the pipeline are set based on the actual measurement data of the pipeline of the underground pipe network system model, the pipeline used in the embodiment is square or round, wherein the calculated hydraulic radius of the square pipe is

And c is the shape constant of the section of the pipeline, and is obtained according to the length-width ratio of the square pipeline; y is the width of the section of the pipeline; γ represents a characteristic power, which is 2 in the present embodiment;

4. according to the connection mode of the underground pipe network system model, pipelines between each well point in the digital model are connected, the length of the pipelines is calculated according to the total length of the combined pipelines, the authenticity of the pipelines is guaranteed, and the underground pipe network system model covering the old city area is built.

Based on the distribution information of urban roads and underground pipe networks, the coordinates of the infiltration point under the pipe network under the CGCS2000 national geodetic coordinate system are referred, and the node coordinates corresponding to each well point are determined in the grids of the surface road runoff model. For well points whose coordinates are not located on the grid area of the urban road (such as in a building, or a lake water system), the grid nodes closest to the coordinates of the well points are marked in the two-dimensional grid.

Based on the local historical rainstorm model preset in the embodiment, the rainfall intensity as shown in fig. 5 is input into the underground pipe network system model and the surface road runoff model according to the time sequence. In this embodiment, if the set rainfall timing sequence starts the coupling simulation operation of the underground pipe network and the surface runoff, the triggering judgment stage is first entered, in this embodiment, every 900s of operation is set as the coupling time, the initial time is 0s, and the unit calculation time step length is set

Is 5 s. Therefore, the calculation between 0s and 895s is a calculation result based on a single underground pipe network system model or an earth surface road runoff model, when the calculation time is 900s, a first coupling process is started to extract relevant coupling key data, and since the time node does not begin to rainfall, the rainfall cannot happenAnd (4) inputting a coupling logic stage. And repeating the judgment result until 22500s time node, wherein due to the input of rainfall data, ponding begins to appear in the grid nodes of part of the surface roads and the pipelines of the underground pipe network, and the current coupling logic stage is started. According to different coupling judgment conditions, based on the method, a corresponding coupling model is automatically selected at each infiltration point in a coupling database, and the data is judged and processed through the coupling model and transmitted to an underground pipe network system model and an earth surface road runoff model. And selecting corresponding coupling models according to the coupling judgment conditions for all the coupling time nodes with rainfall and calculated water level and flow data until the coupling calculation is completed. In this embodiment, the condition that the coupling calculation is completed is the time step number constraint condition of the surface road runoff model, that is, 34560 time steps (5 s).

After the coupling calculation is completed, the simulation calculation data of the surface road is transmitted by using the data interface reserved by the platform to be deployed in this embodiment, and a water depth distribution map and a water flow velocity distribution map of a certain area as shown in fig. 6, 7, 8, and 9 are obtained by prediction, the transmission data may include water information (water level) of the surface road and water flow velocity of the water accumulation area, and the time t of the coupling calculation ranges from 0h to 32 h. According to the flood prevention regulations and emergency corresponding measures of the city to which the embodiment belongs, the waterlogging risks of various communities and the waterlogging degree of the key attention area are divided on the platform according to the road waterlogging information displayed by the platform. Compared with the traditional urban waterlogging prediction method, the urban waterlogging prediction method can dynamically display and predict the urban waterlogging change situation in real time, and reserve enough time and scientific basis for quick response of a command unit.

An embodiment of an apparatus to which the method of the invention is applied:

a computer apparatus, comprising:

one or more processors;

storage means for storing one or more programs;

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method for urban waterlogging prediction based on runoff coupling simulation as described above.

An embodiment of a computer medium to which the method of the invention is applied:

a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a method for urban waterlogging prediction based on runoff coupling simulation as described above.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as methods, systems, computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims

1. A method for forecasting urban waterlogging based on runoff coupling simulation is characterized in that,

the method comprises the following steps:

calculating urban underground pipe network data through a pre-built underground pipe network system model, and determining an infiltration point of the urban surface and an underground pipe network system;

2. The method for urban waterlogging prediction based on runoff coupling simulation of claim 1,

performing data interpolation on each city grid node of the two-dimensional finite element grid to enable each city grid node to have ground elevation information;

3. The method for urban waterlogging prediction based on runoff coupling simulation of claim 1,

combining a plurality of rainwater pipe networks and rainwater wellheads through underground pipe network design data of an urban area to form a lower seepage point required by a coupling process;

4. The method for urban waterlogging prediction based on runoff coupling simulation of claim 1,

the position point where the coordinates of the surface road runoff model and the underground pipe network system model are consistent is a lower seepage point;

5. The urban waterlogging prediction method based on runoff coupling simulation as claimed in any one of claims 1 to 4,

6. The method for urban waterlogging prediction based on runoff coupling simulation of claim 5,

the triggering judgment stage judges whether the coupling process enters the coupling logic stage through data comparison and the running state of the coupling simulation model, and specifically comprises the following contents:

the horizontal plane data is a horizontal plane value in the surface road runoff model at the coupling previous moment at each infiltration point or at the urban grid node closest to the infiltration point;

performing coupling judgment on the calculated data, wherein the coupling judgment comprises the following contents:

when the phenomenon of blowout happens due to the fact that the bearing capacity of the pipeline reaches the upper limit when the water is over-filled, the values of the water and the pipeline are kept the same;

7. The method for urban waterlogging prediction based on runoff coupling simulation of claim 6,

the coupling logic stage selects a corresponding coupling model according to data difference in a key data group by importing the key data group; calculating according to the corresponding coupling model to obtain water level information and water flow vector flow speed data in the city range, and transferring to a data transmission stage, wherein the method specifically comprises the following steps:

the underground pipe network system model is not overloaded yet and is in a non-waterlogging state, and the surface road runoff model is in a waterlogging state; or the underground pipe network system model and the surface road runoff model are not in an inland inundation state;

the coupling model a includes the following:

acquiring infiltration data at each infiltration point in the underground pipe network system model, and recording the infiltration data in a data exchange library;

the coupling model B is used for adjusting the underground pipe network system model to develop towards an overload direction and adjusting the surface road runoff model to develop towards waterlogging reduction; the activation condition is as follows:

the coupling model B comprises the following:

acquiring blowout data at each lower water seepage point in the underground pipe network system model, and transmitting the data to a data exchange library;

the coupling model C includes the following:

transmitting the exchange flow data to an earth surface road runoff model;

the coupling model D includes the following:

acquiring blowout data at each water seepage point and infiltration data at each water seepage point in the underground pipe network system model, and transmitting the data to a data exchange library;

and calculating to obtain the water levels and the water flow vector flow rates of other urban grid nodes by using a two-dimensional hydrodynamic force control equation of the surface road runoff model.

8. The method for urban waterlogging prediction based on runoff coupling simulation of claim 7,

when all the coupling time steps finish the operation of each stage of the coupling simulation model, after the simulation calculation of the underground pipe network system model and the surface road runoff model is finished, the coupling operation step is stopped, and all the data results are packaged into binary files;

9. A method for forecasting urban waterlogging based on runoff coupling simulation is characterized in that,

the method comprises the following steps:

the surface road runoff model is used for calculating surface road runoff;

10. A runoff coupling simulation-based urban waterlogging prediction system is characterized in that,

applying a runoff coupling simulation based urban waterlogging forecasting method according to any one of claims 1 to 9;

the urban waterlogging forecasting system comprises a digital elevation module, an earth surface road runoff module, an underground pipe network system model module, a coupling simulation module and an urban waterlogging forecasting module:

the surface road runoff module is used for calculating surface road runoff;

the coupling simulation module comprises a trigger judgment unit, a coupling logic unit and a data transmission unit and is used for carrying out coupling simulation calculation on surface road runoff, infiltration points and an underground pipe network system to obtain water level information and water flow vector flow rate in an urban range;

the urban waterlogging prediction risk module is used for predicting urban road waterlogging conditions;

the coupling simulation module exchanges and processes a key data set between the underground pipe network system model module and the surface road runoff module, and prepares for the next coupling time step to realize a starting point of coupling closed loop and continuous iteration; and transmitting the data to a module for predicting urban waterlogging risk to predict urban road waterlogging conditions.