CN108182543A - One kind becomes more meticulous grid waterlogging water logging forecasting procedure - Google Patents

One kind becomes more meticulous grid waterlogging water logging forecasting procedure Download PDF

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CN108182543A
CN108182543A CN201810045897.8A CN201810045897A CN108182543A CN 108182543 A CN108182543 A CN 108182543A CN 201810045897 A CN201810045897 A CN 201810045897A CN 108182543 A CN108182543 A CN 108182543A
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scs
swmm
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陈博嘉
王小刚
蔡建统
单森华
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FUJIAN STRONG SOFTWARE Co Ltd
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Abstract

It becomes more meticulous grid waterlogging water logging forecasting procedure the invention discloses one kind, including step:(1)Using pipe network disposal precinct as unit, gridding division is carried out using underlying surface type as according to city;(2)SCS models are established if basin is contained in net region, if establishing SWMM models without river basin in net region;(3)The spillway discharge of net region run-off and overflow node under the heavy rain of current city is calculated respectively using SCS models and SWMM models, LISFLOOD FP models are inputted using overflow data as parameter, the submergence ratio of simcity, the depth of water and floods process.The present invention is divided into multiple grids by city, and different models is selected to be calculated, and improves the accuracy of ponding forecast.

Description

One kind becomes more meticulous grid waterlogging water logging forecasting procedure
Technical field
The present invention relates to urban waterlogging water logging forecasting technique fields, and in particular to one kind become more meticulous the water logging of grid waterlogging forecast Method.
Background technology
In the waterlogging water logging forecast application of city road surface, since waterproof ground increases considerably, cause identical condition of raining Under runoff coefficient increase, flood peak shifts to an earlier date, and magnanimity increase, waterlogging seeping phenomenon happens occasionally caused by urban storm, to city Draining and river course flood form huge pressure, also threaten urban safety.
City ponding is forecast at present, and hydrological model is usually used to carry out the product flood forecast of entire city, generally comprise with Lower four steps:
(One)Urban waterlogging Runoff calculation
City water catchment area area is small, Permeable stratum area than great, under ooze it is less, Runoff calculation lay particular emphasis on flow path surface analysis. It common are following several computed paths:
1st, runoff coefficient method:According to history rain flood data, the surface runoff coefficient under the conditions of various different underlying surfaces is analyzed, it can Chart is made or using computer to facilitate application;
2nd, rainfall runoff correlation figure:Rainfall runoff phase is established according to surveying rain flood Data Analysis Results or diverting from one use to another analogy basin data Pass relationship.City production properties of flow is affected by Permeable stratum area, is compared to parameter with Permeable stratum area, can preferably be reflected The characteristics of Urban watershed;
3rd, infiltration capacity curve method:Analysis basin under ooze rule, select it is applicable under ooze equation, the side of oozing is determined down according to field data Parameter in journey, and areas comprehensive is subject to parameter, suitable for urban water-through area.
(Two)Urban waterlogging runoff concentration calculation
The characteristics of converging according to urban rainwater confluence is divided into ground confluence, pipe network confluence, concentration of river network three phases.Due to Urban waterlogging forecast at present does not form independent forecasting procedure system still, and traditional hydrological method can be used in practice or is established applicable Urban waterlogging computation model.Conventional method for city runoff concentration calculation has:
1st, push pull azobenzene compounds:Crest discharge can only be inquired into, it is impossible to calculate urban waterlogging discharge process;
2nd, instanteneous unit hydrograph method:Since Urban watershed Regulation capacity reduces, parameter n, k value is smaller than nature basin.In addition may be used also With raininess instanteneous unit hydrograph is become, according to the difference of effective rainfall intensity, each period selects different instanteneous unit hydrographs;
3rd, area-time method:It should be noted that drainage pipeline networks is distributed when dividing isochrone.When raininess is more than Design of Urban Drainage Pipe Network During ability, conflux networks tend to constant;
4th, pipe network, concentration of river network evolution are often with the dynamic wave, Muskingun method;
5th, the network of waterways, which has, is considered as dispatching rule and carries out adjusting big vast calculating at gate dam, method is the same as storage routing for reservoir method.
(Three)Urban waterlogging forecasting model
It is weak in terms of producing confluence feature in concentrated expression city due to conventional method, it can be on the basis of analysis urban flooding rule On, establish urban waterlogging forecasting model.In addition the model of comparative maturity can be borrowed, by characteristic of city calibration parameter.City at present Waterlogging forecasts that available model has the storm runoff administrative model in the U.S.(SWMM), curve numerical method (SCS models) and MIKE URBAN etc..Wherein SWMM models and SCS the models all existing application in the research of China's urban waterlogging, MIKE URBAN models are also Introducing digestion phase.
(Four)Error evaluation
Urban waterlogging forecasts no special provision error evaluation method, can refer to《Hydrological Information and Forecasting specification》(SL 250- 2000) error evaluation method performs in.
It is that city product flood is being done into entire city as waterlogging Forecasting Object with four steps that Shangcheng District waterlogging is forecast When forecast, the selection of product flood forecasting model often has subjectivity, and a kind of model is usually used to carry out entire city Product flood forecast, with a varied topography but since the area in city is larger, especially big city, single overall thinking city The factors such as pipe network, the network of waterways order of accuarcy of product flood forecast that does entire city it is low, it is impossible to effectively utilize available data feelings Condition cannot exclude the influence of Spatial Difference, accomplish more accurate city product flood forecast.
Invention content
The grid waterlogging water logging forecasting procedure in view of the above-mentioned problems of the prior art, present invention proposition one kind becomes more meticulous, City is divided into multiple grids, the basic data situation of each grid is analyzed, is carried out using different patterns pre- Report forms the higher ponding forecast of accuracy.
To achieve the above object, the technical scheme is that:One kind becomes more meticulous grid waterlogging water logging forecasting procedure, including Following steps:
Step 1:Using pipe network disposal precinct as unit, gridding division is carried out using underlying surface type as according to city;
Step 2:SCS models are established if basin is contained in net region, if establishing SWMM without river basin in net region Model;Verification is optimized to SCS models and SWMM models according to Urban Rain historical data;
Step 3:Net region run-off and overflow node under the heavy rain of current city are calculated respectively using SCS models and SWMM models Spillway discharge, input LISFLOOD-FP models using overflow data as parameter, the submergence ratio of simcity, the depth of water and flood Process.
Further, in the step 1, the specific method that gridding divides is:
By high-definition remote sensing data, city river vector data, road, sluice, underground pipe network, drainage pipeline, rural resident The unified loading in GIS software of area, Administrative boundaries data, is spatially overlapped, according to Fundamental Geographic Information System, is arranged with pipe network Moisture area is unit, and using underlying surface type as according to city mesh generation is carried out, the foundation of division includes one-dimensional pipe network data, two Earth's surface dem data, high-resolution earth's surface orthography data are tieed up, are divided from coarse to fine, until drainage area is less than 1km2
Further, the foundation of the SCS models and optimization process include:
According to Soil Hydrological Property and land use situation, the corresponding CN values in various types soil are obtained, utilize Area-weighted The CN values of calculating net region, 0≤CN≤100,
S is the water deficit of the maximum possible hold-up, i.e. basin soil of basin at that time;Fundamental formular is flowed in the production of SCS models:
Wherein, P is rainfall, and R is direct run-off;
SCS models are verified using Urban Rain historical data, is not inconsistent with actual history waterlogging situation such as, optimizes and revises soil Ground CN values recalculate the CN values of net region.
Further, the SWMM model foundations and optimization process include:
Pipe network data is carried out to net region generally to change, and is divided sub- water catchment area, is determined water outlet;
Model parameter is set with reference to SWMM service manuals, including waterproof Manning coefficient, pervious surface Manning coefficient, waterproof Table low-lying area storage capacity, permeable earth's surface low-lying area storage capacity, pipeline roughness, maximum infiltration, minimum infiltration rate and attenuation coefficient;
Using Urban Rain historical data calculate SWMM modelings under water outlet flow and overflow node spillway discharge, such as with reality Border history waterlogging situation is not inconsistent, and optimizes and revises model parameter, recalculates.
Compared with prior art, the invention has the advantages that:City is divided into multiple grids, to each net The basic data situation of lattice is analyzed, and is forecast using different patterns, forms the higher ponding forecast of accuracy.
Description of the drawings
Fig. 1 is that one kind of the present invention becomes more meticulous grid waterlogging water logging forecasting procedure flow diagram.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
As shown in Figure 1, one kind becomes more meticulous, grid waterlogging water logging forecasting procedure, includes the following steps:
Step 1:Using pipe network disposal precinct as unit, gridding division is carried out using underlying surface type as according to city;
Step 2:SCS models are established if basin is contained in net region, if establishing SWMM without river basin in net region Model;Verification is optimized to SCS models and SWMM models according to Urban Rain historical data;
Step 3:Net region run-off and overflow node under the heavy rain of current city are calculated respectively using SCS models and SWMM models Spillway discharge, input LISFLOOD-FP models using overflow data as parameter, the submergence ratio of simcity, the depth of water and flood Process.
In the step 1, the specific method that gridding divides is:
By high-definition remote sensing data, city river vector data, road, sluice, underground pipe network, drainage pipeline, rural resident The unified loading in GIS software of area, Administrative boundaries data, is spatially overlapped, according to Fundamental Geographic Information System, is arranged with pipe network Moisture area is unit, and using underlying surface type as according to city mesh generation is carried out, the foundation of division includes one-dimensional pipe network data, two Earth's surface dem data, high-resolution earth's surface orthography data are tieed up, are divided from coarse to fine, until drainage area is less than 1km2
The foundation of the SCS models and optimization process include:
According to Soil Hydrological Property and land use situation, the corresponding CN values in various types soil are obtained, utilize Area-weighted The CN values of calculating net region, 0≤CN≤100,
S is the water deficit of the maximum possible hold-up, i.e. basin soil of basin at that time;Fundamental formular is flowed in the production of SCS models:
Wherein, P is rainfall, and R is direct run-off;
SCS models are verified using Urban Rain historical data, is not inconsistent with actual history waterlogging situation such as, optimizes and revises soil Ground CN values recalculate the CN values of net region.
The SWMM model foundations and optimization process include:
Pipe network data is carried out to net region generally to change, and is divided sub- water catchment area, is determined water outlet;
Model parameter is set with reference to SWMM service manuals, including waterproof Manning coefficient, pervious surface Manning coefficient, waterproof Table low-lying area storage capacity, permeable earth's surface low-lying area storage capacity, pipeline roughness, maximum infiltration, minimum infiltration rate and attenuation coefficient;
Using Urban Rain historical data calculate SWMM modelings under water outlet flow and overflow node spillway discharge, such as with reality Border history waterlogging situation is not inconsistent, and optimizes and revises model parameter, recalculates.
Although the invention has been described by way of example and in terms of the preferred embodiments, but it is not for limiting the present invention, any this field Technical staff without departing from the spirit and scope of the present invention, may be by the methods and technical content of the disclosure above to this hair Bright technical solution makes possible variation and modification, therefore, every content without departing from technical solution of the present invention, and according to the present invention Technical spirit any simple modifications, equivalents, and modifications made to the above embodiment, belong to technical solution of the present invention Protection domain.The foregoing is merely presently preferred embodiments of the present invention, all impartial changes done according to scope of the present invention patent Change and modify, should all belong to the covering scope of the present invention.

Claims (4)

  1. The grid waterlogging water logging forecasting procedure 1. one kind becomes more meticulous, which is characterized in that include the following steps:
    Step 1:Using pipe network disposal precinct as unit, gridding division is carried out using underlying surface type as according to city;
    Step 2:SCS models are established if basin is contained in net region, if establishing SWMM without river basin in net region Model;Verification is optimized to SCS models and SWMM models according to Urban Rain historical data;
    Step 3:Net region run-off and overflow node under the heavy rain of current city are calculated respectively using SCS models and SWMM models Spillway discharge, input LISFLOOD-FP models using overflow data as parameter, the submergence ratio of simcity, the depth of water and flood Process.
  2. 2. the grid waterlogging water logging forecasting procedure according to claim 1 that becomes more meticulous, which is characterized in that in the step 1, net The specific method of division of formatting is:
    By high-definition remote sensing data, city river vector data, road, sluice, underground pipe network, drainage pipeline, rural resident The unified loading in GIS software of area, Administrative boundaries data, is spatially overlapped, according to Fundamental Geographic Information System, is arranged with pipe network Moisture area is unit, and using underlying surface type as according to city mesh generation is carried out, the foundation of division includes one-dimensional pipe network data, two Earth's surface dem data, high-resolution earth's surface orthography data are tieed up, are divided from coarse to fine, until drainage area is less than 1km2
  3. 3. the grid waterlogging water logging forecasting procedure according to claim 1 that becomes more meticulous, which is characterized in that the SCS models It establishes and optimization process includes:
    According to Soil Hydrological Property and land use situation, the corresponding CN values in various types soil are obtained, utilize Area-weighted The CN values of calculating net region, 0≤CN≤100,
    S is the water deficit of the maximum possible hold-up, i.e. basin soil of basin at that time;Fundamental formular is flowed in the production of SCS models:
    Wherein, P is rainfall, and R is direct run-off;
    SCS models are verified using Urban Rain historical data, is not inconsistent with actual history waterlogging situation such as, optimizes and revises soil Ground CN values recalculate the CN values of net region.
  4. 4. the grid waterlogging water logging forecasting procedure according to claim 1 that becomes more meticulous, which is characterized in that the SWMM models are built Vertical and optimization process includes:
    Pipe network data is carried out to net region generally to change, and is divided sub- water catchment area, is determined water outlet;
    Model parameter is set with reference to SWMM service manuals, including waterproof Manning coefficient, pervious surface Manning coefficient, waterproof Table low-lying area storage capacity, permeable earth's surface low-lying area storage capacity, pipeline roughness, maximum infiltration, minimum infiltration rate and attenuation coefficient;
    Using Urban Rain historical data calculate SWMM modelings under water outlet flow and overflow node spillway discharge, such as with reality Border history waterlogging situation is not inconsistent, and optimizes and revises model parameter, recalculates.
CN201810045897.8A 2018-01-17 2018-01-17 One kind becomes more meticulous grid waterlogging water logging forecasting procedure Pending CN108182543A (en)

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CN109033605A (en) * 2018-07-18 2018-12-18 华中科技大学 A kind of watershed concentration analogy method divided based on the multistage with more unit line options
CN109308560A (en) * 2018-07-18 2019-02-05 中国水利水电科学研究院 A kind of urban rainstorm waterlogging and the method for prewarning risk of long-pending flood
CN109446934A (en) * 2018-10-12 2019-03-08 北京英视睿达科技有限公司 Water environment monitoring and managing method and system
CN109492259A (en) * 2018-10-15 2019-03-19 华北水利水电大学 A kind of Urban Hydrologic simulation system
CN109543275A (en) * 2018-11-15 2019-03-29 中国水利水电科学研究院 A kind of city rainwash Two-dimensional numerical simulation method
CN110274656A (en) * 2019-06-20 2019-09-24 福州市规划设计研究院 A kind of city inland river Interpretation Method of Area Rainfall method for early warning
CN110298076A (en) * 2019-05-27 2019-10-01 广州奥格智能科技有限公司 A kind of urban waterlogging intelligent modeling and analysis method based on GIS and SWMM
CN110334468A (en) * 2019-07-16 2019-10-15 哈尔滨工业大学 A kind of quantitative approach of urban drainage pipe network rainwater remittance amount and spillway discharge
CN110837925A (en) * 2019-11-04 2020-02-25 浙江贵仁信息科技股份有限公司 Urban waterlogging prediction method and device
CN111275266A (en) * 2020-02-25 2020-06-12 华南师范大学 Rapid optimization method for spatial layout of impervious ground surface for urban rainstorm and waterlogging prevention and control
CN111368397A (en) * 2020-02-04 2020-07-03 中国水利水电科学研究院 Method and device for predicting waterlogging risk
CN111651885A (en) * 2020-06-03 2020-09-11 南昌工程学院 Intelligent sponge urban flood forecasting method
CN111898303A (en) * 2020-08-05 2020-11-06 苏州大圜科技有限公司 River basin water level and waterlogging forecasting method based on weather forecasting and hydrodynamic simulation
CN111985129A (en) * 2020-07-22 2020-11-24 天津大学 Urban rainstorm waterlogging fine simulation method
CN112016752A (en) * 2020-08-28 2020-12-01 长安大学 Urban ponding forecasting method and system based on digital map technology
CN113344341A (en) * 2021-05-19 2021-09-03 珠海市规划设计研究院 Method, system and medium for determining urban suitable water surface rate based on storage and drainage balance
CN113610264A (en) * 2021-06-22 2021-11-05 国网浙江省电力有限公司电力科学研究院 Refined power grid typhoon flood disaster prediction model
CN113837912A (en) * 2021-09-03 2021-12-24 南京工业大学 Method for analyzing influence factors of carbon emission in construction industry
CN114416907A (en) * 2022-01-20 2022-04-29 河海大学 Emergency service mountain torrent disaster risk mapping method based on SCS model
CN114970063A (en) * 2022-05-30 2022-08-30 深圳市粤港科技有限公司 GIS-based pipe network information comprehensive display method
CN115563740A (en) * 2022-10-27 2023-01-03 中国水利水电科学研究院 Urban surface mixed runoff yield calculation method based on drainage pipe network distribution

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CN109308560B (en) * 2018-07-18 2019-11-15 中国水利水电科学研究院 A kind of urban rainstorm waterlogging and the method for prewarning risk of long-pending flood
CN109308560A (en) * 2018-07-18 2019-02-05 中国水利水电科学研究院 A kind of urban rainstorm waterlogging and the method for prewarning risk of long-pending flood
CN109033605A (en) * 2018-07-18 2018-12-18 华中科技大学 A kind of watershed concentration analogy method divided based on the multistage with more unit line options
CN109446934A (en) * 2018-10-12 2019-03-08 北京英视睿达科技有限公司 Water environment monitoring and managing method and system
CN109492259A (en) * 2018-10-15 2019-03-19 华北水利水电大学 A kind of Urban Hydrologic simulation system
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CN109543275B (en) * 2018-11-15 2019-07-09 中国水利水电科学研究院 A kind of city rainwash Two-dimensional numerical simulation method
CN109543275A (en) * 2018-11-15 2019-03-29 中国水利水电科学研究院 A kind of city rainwash Two-dimensional numerical simulation method
CN110298076A (en) * 2019-05-27 2019-10-01 广州奥格智能科技有限公司 A kind of urban waterlogging intelligent modeling and analysis method based on GIS and SWMM
CN110298076B (en) * 2019-05-27 2023-05-09 奥格科技股份有限公司 Urban waterlogging intelligent modeling and analysis method based on GIS and SWMM
CN110274656A (en) * 2019-06-20 2019-09-24 福州市规划设计研究院 A kind of city inland river Interpretation Method of Area Rainfall method for early warning
CN110274656B (en) * 2019-06-20 2021-05-04 福州市规划设计研究院集团有限公司 Urban inland river water level forecasting and early warning method
CN110334468A (en) * 2019-07-16 2019-10-15 哈尔滨工业大学 A kind of quantitative approach of urban drainage pipe network rainwater remittance amount and spillway discharge
CN110837925A (en) * 2019-11-04 2020-02-25 浙江贵仁信息科技股份有限公司 Urban waterlogging prediction method and device
CN110837925B (en) * 2019-11-04 2023-09-15 浙江贵仁信息科技股份有限公司 Urban waterlogging prediction method and device
CN111368397B (en) * 2020-02-04 2021-02-12 中国水利水电科学研究院 Method and device for predicting waterlogging risk
CN111368397A (en) * 2020-02-04 2020-07-03 中国水利水电科学研究院 Method and device for predicting waterlogging risk
CN111275266A (en) * 2020-02-25 2020-06-12 华南师范大学 Rapid optimization method for spatial layout of impervious ground surface for urban rainstorm and waterlogging prevention and control
CN111651885A (en) * 2020-06-03 2020-09-11 南昌工程学院 Intelligent sponge urban flood forecasting method
CN111985129A (en) * 2020-07-22 2020-11-24 天津大学 Urban rainstorm waterlogging fine simulation method
CN111898303A (en) * 2020-08-05 2020-11-06 苏州大圜科技有限公司 River basin water level and waterlogging forecasting method based on weather forecasting and hydrodynamic simulation
CN112016752A (en) * 2020-08-28 2020-12-01 长安大学 Urban ponding forecasting method and system based on digital map technology
CN113344341A (en) * 2021-05-19 2021-09-03 珠海市规划设计研究院 Method, system and medium for determining urban suitable water surface rate based on storage and drainage balance
CN113610264A (en) * 2021-06-22 2021-11-05 国网浙江省电力有限公司电力科学研究院 Refined power grid typhoon flood disaster prediction model
CN113610264B (en) * 2021-06-22 2023-11-07 国网浙江省电力有限公司电力科学研究院 Refined power grid typhoon flood disaster prediction system
CN113837912A (en) * 2021-09-03 2021-12-24 南京工业大学 Method for analyzing influence factors of carbon emission in construction industry
CN113837912B (en) * 2021-09-03 2023-09-26 南京工业大学 Analysis method for influence factors of carbon emission in construction industry
CN114416907A (en) * 2022-01-20 2022-04-29 河海大学 Emergency service mountain torrent disaster risk mapping method based on SCS model
CN114970063A (en) * 2022-05-30 2022-08-30 深圳市粤港科技有限公司 GIS-based pipe network information comprehensive display method
CN115563740A (en) * 2022-10-27 2023-01-03 中国水利水电科学研究院 Urban surface mixed runoff yield calculation method based on drainage pipe network distribution
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