CN111062125B - Hydrological effect evaluation method for sponge type comprehensive pipe gallery - Google Patents
Hydrological effect evaluation method for sponge type comprehensive pipe gallery Download PDFInfo
- Publication number
- CN111062125B CN111062125B CN201911249898.5A CN201911249898A CN111062125B CN 111062125 B CN111062125 B CN 111062125B CN 201911249898 A CN201911249898 A CN 201911249898A CN 111062125 B CN111062125 B CN 111062125B
- Authority
- CN
- China
- Prior art keywords
- parameters
- model
- pipe gallery
- comprehensive pipe
- area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Genetics & Genomics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Physiology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a hydrographic effect evaluation method for a sponge type comprehensive pipe gallery, which comprises the steps of obtaining basic data of a research area; constructing an SWMM model according to basic data of a research area, and acquiring hydrological effects under the traditional development situation and the traditional comprehensive pipe gallery situation according to the SWMM model; constructing a SUSTAIN model according to basic data of a research area, and acquiring an LID optimal layout scheme through the SUSTAIN model; inputting the LID optimization layout scheme into the SWMM model, and performing hydrological simulation on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene through the SWMM model respectively to obtain the hydrological effect under the low-impact development facility scene and the sponge type comprehensive pipe gallery scene; and comparing and evaluating the hydrological effects of the four scenes to obtain a hydrological effect evaluation result under the scene of the sponge type comprehensive pipe gallery. The invention can realize accurate hydrological simulation and hydrological effect evaluation on the sponge type comprehensive pipe gallery scene and provides a reference for planning, designing and constructing work of future sponge cities.
Description
Technical Field
The invention relates to the technical field of hydrology and water resources, in particular to a hydrology effect evaluation method for a sponge type comprehensive pipe gallery.
Background
The global warming causes frequent extreme rainfall events, in addition, rapid urban expansion causes severe change of the underlying surface, and the ground surface production flow rate is increased sharply, but the problems are not considered enough by planning and construction of a lot of urban flood control and drainage measures, so that urban waterlogging is caused frequently, and huge social and economic losses and casualties are caused. China starts to research late in the aspect of coping with urban waterlogging, and takes a lot of measures to cope with the urban waterlogging, but the obtained effect is very limited. Since 2013, the construction concept of the sponge city is put forward, research related to the sponge city is started, and a new effective idea is provided for treating urban waterlogging.
Low Impact Development (LID) facilities are an important part of sponge city construction, and the implementation modes of the facilities are various, including bioretention pools, green roofs, permeable pavement and the like. The research on low-impact development facilities at home and abroad mainly focuses on the test and numerical simulation of a single LID facility in the early stage, for example, the hydrological impact of a green roof is evaluated based on the test; subsequently, the students try to combine and lay out different LID facilities, and certain results are achieved at present, but the allocation proportion and the layout determination mode of the LID facilities are not good enough, and the cost-benefit, the constructability and the interaction among different LID facilities are not considered comprehensively. In order to achieve maximum benefit, attention has recently been paid to optimized layout of LID facilities, and a method of mechanically specifying transformation ratio of LID facilities and combining single LID facility optimal ratio in the past is abandoned, and a coupled hydrological model and an optimization algorithm are used instead, or a LID optimized layout modeling tool is directly adopted. At present, the SUSTAIN model is widely applied, but for a large area, in order to reduce the operation load of the SUSTAIN model, a sub-catchment area and a pipe network need to be greatly generalized, and the simulation precision needs to be improved.
In addition, a lot of researches show that the low-impact development facility can effectively accumulate rainfall flood, but the reduction effect on runoff is weak under the extreme rainfall condition; the underground drainage system based on the 'quick drainage' mode can quickly drain rainwater, but the design standard of the existing pipeline is generally low, so that the rainwater is always waterlogged when heavy rain occurs. To this, in order to strengthen utility tunnel's construction to impel the construction in sponge city, this has promoted the birth of "sponge type" utility tunnel, additionally increases rainwater regulation storehouse in utility tunnel construction promptly in order to increase drainage ability, carries out LID spongization transformation to city underlying surface simultaneously, jointly promotes city flood control drainage ability.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a hydrographic effect evaluation method for a sponge type comprehensive pipe gallery.
The purpose of the invention is realized by the following technical scheme: a hydrographic effect evaluation method for a sponge type comprehensive pipe gallery comprises the following steps:
s1, acquiring basic data of a research area, wherein the basic data comprises a digital elevation model, satellite remote sensing image data, land utilization type data, and design data of a pipe network and a comprehensive pipe gallery;
s2, constructing an SWMM model according to basic data of a research area, and acquiring hydrological effects under the traditional development situation and the traditional comprehensive pipe gallery situation according to the SWMM model;
s3, constructing a SUSTAIN model according to basic data of the research area, and acquiring an LID optimal layout scheme through the SUSTAIN model;
inputting the LID optimization layout scheme into the SWMM model, and performing hydrological simulation on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene through the SWMM model respectively to obtain the hydrological effect under the low-impact development facility scene and the sponge type comprehensive pipe gallery scene;
s4, for researching the runoff reduction effect of the sponge type comprehensive pipe gallery, the overflow amount and the water outlet flow are used as evaluation basis, the hydrological effects under the traditional development situation, the traditional comprehensive pipe gallery situation, the low-impact development facility situation and the sponge type comprehensive pipe gallery situation are compared and evaluated, and the hydrological effect evaluation result under the sponge type comprehensive pipe gallery situation is obtained.
Preferably, in step S1, the method further includes: and local correction is carried out on the land use type data by utilizing the satellite remote sensing image data and the on-site investigation result.
Preferably, in step S2, the SWMM model is constructed using the basic data of the study area, as follows:
s21, generalizing the study area: generalizing a pipe network, a rainwater bin and a river of the comprehensive pipe gallery in a research area according to design data of the pipe network and the comprehensive pipe gallery, and dividing the research area into a plurality of sub-catchment areas;
s22, inputting parameters including measurement parameters and empirical parameters of the sub-catchment areas and the pipe network into the SWMM model;
and S23, running the SWMM model, and carrying out calibration adjustment on the empirical parameters according to the model running result.
Further, in step S21, the sub-catchment areas are specifically divided as follows:
aiming at a research area with a complex pipe network and an undefined flow direction, dividing by adopting a Thiessen polygon method based on well point distribution in the research area, and then performing local manual adjustment;
aiming at a research area with a simpler pipe network and a definite flow direction, hydrologic analysis is carried out on the research area according to a digital elevation model, and watershed in the research area is constructed; and dividing the research area into sub-catchment areas according to the distribution of buildings and traffic roads and the trend of pipe networks in the satellite remote sensing image data.
Further, the measured parameters include area, cross flow width, average slope, impermeable rate, well point parameters and upstream node, downstream node, pipe length, inlet offset, outlet offset, pipe shape and maximum depth in the pipeline parameters, the well point parameters include bottom elevation and well depth; and, as for the shape of the pipeline, if the pipeline is a circular section, the diameter of the pipeline is the maximum depth; if the pipeline has a rectangular section, the measurement parameters also include the width of the pipeline; if the pipeline is a trapezoidal section, the measurement parameters also comprise the bottom width of the pipeline and the slopes of the left side and the right side;
the empirical parameters comprise parameters of a sub-catchment area, pipeline roughness and infiltration model parameters in pipeline parameters, wherein the parameters of the sub-catchment area comprise a watertight Manning coefficient, a pervious Manning coefficient, a watertight hollow depth, a pervious hollow depth and a non-hollow watertight area ratio of the watertight area; the infiltration model parameters include maximum infiltration rate, minimum infiltration rate and permeability attenuation coefficient.
Furthermore, the measurement parameters of the sub-catchment area and the pipe network are obtained through ArcGIS;
empirical parameters for the sub-catchment areas and the pipe network: (1) under the condition that the research area has actual measurement data, the empirical parameters are reference actual measurement data;
the method comprises the following steps of carrying out calibration adjustment on empirical parameters according to a model operation result, specifically: considering the subjectivity of the empirical parameters, a sensitivity analysis method is adopted to analyze the sensitivity of each empirical parameter to the SWMM model, and the empirical parameters are adjusted according to the analysis result, wherein the process is as follows:
selecting a watertight Manning coefficient, a pervious Manning coefficient, a watertight hollow storage depth, a pervious hollow storage depth, a non-hollow watertight area ratio of a watertight area, a pipeline roughness, a maximum infiltration rate, a minimum infiltration rate and a permeability attenuation coefficient as research parameters, respectively floating up and dropping the numerical values of the research parameters by certain amplitudes, respectively recording simulation results of water outlet flow or water level of the research area, and calculating sensitivity coefficients S of all the research parameters, wherein the numerical values of other parameters are fixed and unchanged, and the sensitivity coefficients S of all the research parameters are calculatediThe formula for calculating the sensitivity coefficient is as follows:
wherein, XiInitial values for the study parameters; Δ XiIs the variation value of the parameter; y (X)i) For investigating the value of the parameter as XiSimulation results of time;
comparing the sensitivity coefficients of the research parameters, and selecting the research parameters with large sensitivity coefficients;
acquiring actually measured flow data through a flowmeter or acquiring actually measured water level data through a water level meter, comparing the actually measured data with a simulation result, and adjusting the selected empirical parameter with a large sensitivity coefficient according to the comparison result so as to enable the adjusted simulation result to be close to the actually measured data;
(2) under the condition that the research area lacks measured data, the empirical parameters refer to historical parameter values used after the same area or adjacent areas are calibrated;
the method comprises the following steps of carrying out calibration adjustment on empirical parameters according to a model operation result, specifically: by referring to the historical parameter values of the adjacent areas, comparing whether the position with larger overflow amount simulated by the SWMM model is consistent with the waterlogging-prone slice area or not,
if yes, determining that the SWMM model has adaptability and accuracy when performing hydrological simulation in the research area, and completing construction of the SWMM model;
if not, analyzing the sensitivity of each experience parameter to the SWMM model by adopting a sensitivity analysis method, adjusting the experience parameters according to the analysis result, checking whether the data of the pipe network, the comprehensive pipe gallery rainwater bin and the river are correct or not, and checking whether the sub-catchment areas are reasonably divided or not.
Preferably, in step S3, a susain model is constructed according to the basic data of the research area, and the LID optimized layout scheme is obtained through the susain model, which includes the following steps:
generalizing a sub-catchment area in the research area according to a digital elevation model of the research area, satellite remote sensing image data and design data of a pipe network and a comprehensive pipe gallery;
generalizing the pipe network of the research area according to the selected water outlet assessment point, the generalized sub-catchment area and the actual pipe network trend;
generalizing the land utilization type of the research area according to the size of the research area and the land utilization type data;
designing an integrated LID facility in the SUSTAIN model according to the generalized result of the land utilization type;
carrying out runoff simulation by using an internal simulation or external simulation mode to obtain a time runoff sequence of a corresponding land use type,
wherein, the internal simulation means inputting data for production and confluence calculation into SUSTAIN model; the data for production convergence calculation comprise rainfall data, measurement parameters and experience parameters of the sub-catchment areas;
the external simulation is to input data for production and convergence calculation into an external model for production and convergence calculation, wherein the external model is HSPF, SWMM or other hydrological models;
in order to estimate the runoff reduction rate which accords with the actual cost-benefit, LID optimization calculation is carried out in the SUSTAIN model, and a cost-benefit curve of LID optimization layout is obtained;
and selecting the runoff reduction rate which accords with the actual cost-benefit as a control target according to the cost-benefit curve, inputting the time runoff sequence into the SUSTAIN model for cost minimization simulation, and obtaining an LID optimal layout scheme.
Furthermore, the SUSTAIN model realizes cost minimization simulation, and an internally adopted algorithm is a non-dominated sorting genetic algorithm NSGA-II.
Further, in step S3, the LID optimization layout plan is input into the SWMM model, and hydrologic simulation is performed on the low impact development facility scenario and the sponge type utility tunnel scenario respectively through the SWMM model, specifically:
aiming at the low-impact development facility scene and the sponge type comprehensive pipe gallery scene, distributing the corresponding LID facility layout and the number of the LID facilities to each sub-catchment area according to the land utilization type proportion, using the LID facility layout and the number of the LID facilities as the number parameters of the LID facilities in the SWMM model, and setting the facility parameters of the LID facilities;
after the quantity parameters and the facility parameters are set, the SWMM model carries out hydrological simulation on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene respectively.
Preferably, in step S4, the conventional development scenario refers to the adoption of the existing drainage network system in the research area, regardless of the construction of the utility tunnel and LID facilities; the traditional comprehensive pipe gallery scene refers to a newly-added underground comprehensive pipe gallery on the traditional development scene; the low-impact development scenario refers to the fact that LID facilities are added in the traditional development scenario; sponge type utility tunnel sight refers to and combines together utility tunnel construction and LID facility transformation.
Compared with the prior art, the invention has the following advantages and effects:
(1) the invention discloses a hydrological effect evaluation method for a sponge type comprehensive pipe gallery, which comprises the steps of obtaining basic data of a research area; constructing an SWMM model according to basic data of a research area, and acquiring hydrological effects under the traditional development situation and the traditional comprehensive pipe gallery situation according to the SWMM model; constructing a SUSTAIN model according to basic data of a research area, and acquiring an LID optimal layout scheme through the SUSTAIN model; inputting the LID optimization layout scheme into the SWMM model, and performing hydrological simulation on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene through the SWMM model respectively to obtain the hydrological effect under the low-impact development facility scene and the sponge type comprehensive pipe gallery scene; in order to research the reduction effect of the sponge type comprehensive pipe gallery on the runoff, the hydrological effects of the four scenes are compared and evaluated to obtain the hydrological effect evaluation result under the scene of the sponge type comprehensive pipe gallery. The method is based on the SUSTAIN model and the SWMM model, the LID optimal layout scheme is obtained through the SUSTAIN model, the LID optimal layout scheme is input into the SWMM model to realize the dynamic simulation of rainfall-runoff-water quality in a research area, and the accurate hydrological simulation and hydrological effect evaluation of the sponge type comprehensive pipe gallery scene are realized, so that the method can be used as a reference for planning, designing and constructing work of future sponge cities, and the organic unification of green facilities and gray facilities is realized.
(2) According to the sponge type comprehensive pipe gallery hydrological effect evaluation method, after model parameters are input into the SWMM model, the empirical parameters of the model are also subjected to calibration adjustment, so that a more appropriate SWMM model is constructed, and the hydrological simulation accuracy is improved.
(3) According to the method, firstly, the optimized layout and the quantity of the LIDs in a research area are obtained based on a SUSTAIN model, then the optimized layout and the quantity are transferred to an SWMM model to construct a low-influence development simulation model, and the hydrological effect of the low-influence development facility under different rainfall conditions in different reappearance periods can be more accurately obtained.
Drawings
Fig. 1 is a flow chart of the hydrological effect evaluation method of the sponge type comprehensive pipe gallery.
FIG. 2 is a digital elevation model diagram of a bayberry river basin in Tianhe wisdom city, Guangzhou city.
FIG. 3 is a land utilization type diagram of the bayberry river basin of Tianhe wisdom city, Guangzhou city.
Fig. 4 is a distribution position diagram of a bayberry river basin in the Tianhe wisdom city of Guangzhou city in a neutron catchment area, a pipe network, a comprehensive pipe gallery, a water body, well points, water outlets and typical overflow points of the SWMM model.
Fig. 5 is a distribution diagram of sub-catchment areas, pipe networks and integrated LID facilities of the bayberry river basin of the intelligent city of the Tianhe of Guangzhou city generalized in the susain model.
Fig. 6 is a visual design diagram of integrated LID facilities in the superstain model of the bayberry river basin of the Tianhe wisdom city, Guangzhou city.
Fig. 7 is a cost-benefit curve diagram of LID facilities obtained after optimization calculation of the bayberry river basin of the tianhe wisdom city, guangzhou in the susain model.
Fig. 8(a) -8 (c) are rainfall-runoff graphs of a typical water outlet of a bayberry river basin of the Tianhe wisdom city, Guangzhou city at each reappearance period.
Fig. 9 is a distribution diagram of overflow amount of the bayberry river basin in the Tianhe wisdom city in Guangzhou city under different scenes in each reappearance period.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Examples
The embodiment discloses a hydrographic effect evaluation method for a sponge type comprehensive pipe gallery, which comprises the following steps as shown in fig. 1:
and S1, acquiring basic data of the research area, wherein the basic data comprises a Digital Elevation Model (DEM), satellite remote sensing image data, land utilization type data, and pipe network and comprehensive pipe gallery design data.
In this embodiment, the satellite remote sensing image data is a satellite image acquired at Google Earth, Google, and the land use type data is further locally corrected by the satellite remote sensing image data and the on-site investigation result.
S2, constructing an SWMM model according to basic data of the research area, and acquiring hydrological effects under the traditional development situation and the traditional comprehensive pipe gallery situation according to the SWMM model.
The construction process of the model is as follows:
s21, generalizing the study area: according to the design data of the pipe network and the comprehensive pipe gallery, the pipe network, the rainwater bin and the river in the research area are generalized, and the research area is divided into a plurality of sub-catchment areas.
The pipe network data can be directly extracted by using a plug-in the CAD, and the flow direction of the pipe network is checked and corrected after extraction, so that the normal operation of the SWMM model is supported.
The sub-catchment areas are subunits of model calculation production convergence, the production convergence process is relatively independent, rainwater in the subunits is converged into the pipe well and serves as an input boundary condition of drainage pipe network convergence calculation, and therefore the rationality of division of the sub-catchment areas can influence the result of pipe network convergence simulation. If the research area is an undeveloped watershed, hydrologic analysis is usually performed in a hydrologic analysis tool ArcGIS based on a digital elevation model, and a watershed is constructed, so that a sub-catchment area can be divided, but the research area is often an already developed and urbanized area, the underlying surface condition is more complicated than that of the undeveloped watershed area, for example, the influence of human factors such as building blockage is caused, and the water flow direction in the actual confluence process does not necessarily follow the natural law of 'water flowing to the lower part', so that the hydrologic analysis tool cannot be simply adopted to divide the sub-catchment area of the whole research area.
Therefore, in this embodiment, the sub-catchment areas are specifically divided as follows:
aiming at a research area with a complex pipe network and an undefined flow direction, dividing by adopting a Thiessen polygon method based on well point distribution in the research area. The Thiessen polygon method is simple and saves time, but considering that sub-catchment areas which are not in accordance with reality are easy to appear, for example, rainwater received by a building is supposed to flow to the same water outlet, and the Thiessen polygon method can divide the rainwater at the position to different water outlets, so local manual adjustment is needed after division.
Aiming at a research area with a simpler pipe network and a definite flow direction, hydrologic analysis is carried out on the research area according to a digital elevation model, and watershed in the research area is constructed; and dividing the research area into sub-catchment areas according to the distribution of buildings and traffic roads and the trend of a pipe network in the satellite remote sensing image data, so that the research area can better meet the actual situation. Hydrologic analysis this procedure can be performed in the hydrologic analysis tool ArcGIS.
And S22, inputting parameters into the SWMM model, wherein the parameters comprise measurement parameters and empirical parameters of the sub-catchment areas and the pipe network.
Wherein the measured parameters include area, cross flow width, average grade, impermeable rate, well point parameters, and upstream nodes, downstream nodes, pipe length, inlet offset, outlet offset, pipe shape, and maximum depth in the pipeline parameters.
The well point is a connection point or an initial end point between the pipelines, the well point parameters comprise a well bottom elevation and a well depth, wherein the well bottom elevation is the minimum value of the pipe bottom elevations corresponding to all the pipelines connected to the pipe well, and the well depth is equal to the difference between the ground elevation and the well bottom elevation of the well point. Whether the well point parameters further comprise other parameters such as initial water depth, inflow rate and water accumulation area can be determined according to actual conditions. The upstream node and the downstream node are used for determining the flow direction of the pipeline rainwater. The inlet offset and the outlet offset determine the pipeline gradient, and if the data of the part is missing, the pipeline can be upwardly offset by 0.3m from the height of the bottom of the pipeline. For the shape of the pipeline, if the pipeline is a circular section, the diameter of the pipeline is the maximum depth; if the pipeline has a rectangular section, the measurement parameters further include the width of the pipeline; if the pipeline is a trapezoidal section, the measurement parameters further include the bottom width of the pipeline and the slopes of the left side and the right side.
The empirical parameters comprise parameters of a sub-catchment area, pipeline roughness and infiltration model parameters in pipeline parameters, wherein the parameters of the sub-catchment area comprise a watertight Manning coefficient, a pervious Manning coefficient, a watertight hollow depth, a pervious hollow depth and a non-hollow watertight area ratio of the watertight area; the infiltration model parameters include maximum infiltration rate, minimum infiltration rate and permeability attenuation coefficient. The roughness affects the water depth and the flow rate, and the values can be obtained by referring to the SWMM instruction manual.
The measurement parameters of the sub-catchment area and the pipe network are obtained through ArcGIS.
Empirical parameters for the sub-catchment areas and the pipe network: (1) under the condition that the research area has actual measurement data, the empirical parameters are calibrated and adjusted by referring to the actual measurement data; (2) and under the condition that the research area lacks measured data, the empirical parameters are historical parameter values used after the same area or adjacent areas are calibrated.
S23, operating the SWMM model, and carrying out calibration adjustment on the empirical parameters according to the operation result of the model, wherein the method specifically comprises the following steps:
(1) under the condition that the research area has actually measured data, considering the subjectivity of the empirical parameters, analyzing the sensitivity of each empirical parameter to the SWMM model by adopting a sensitivity analysis method, and adjusting the empirical parameters according to the analysis result, wherein the process is as follows:
selecting a watertight Manning coefficient, a pervious Manning coefficient, a watertight hollow storage depth, a pervious hollow storage depth, a non-hollow watertight area ratio of a watertight area, a pipeline roughness, a maximum infiltration rate, a minimum infiltration rate and a permeability attenuation coefficient as research parameters, respectively floating up and dropping the numerical values of the research parameters by certain amplitudes, respectively recording simulation results of water outlet flow or water level of the research area, and calculating sensitivity coefficients S of all the research parameters, wherein the numerical values of other parameters are fixed and unchanged, and the sensitivity coefficients S of all the research parameters are calculatediThe formula for calculating the sensitivity coefficient is as follows:
wherein, XiInitial values for the study parameters; Δ XiIs the variation value of the parameter; y (X)i) For investigating the value of the parameter as XiSimulation results of time; the numerical values of the research parameters of the embodiment are upward floating by 10% and downward floating by 10%.
Comparing the sensitivity coefficients of the research parameters, and selecting the research parameters with large sensitivity coefficients; the large sensitivity coefficient indicates that the parameter has a large influence on the SWMM model.
And acquiring actually measured flow data through the flowmeter or acquiring actually measured water level data through the water level meter, comparing the actually measured data with the simulation result, and adjusting the selected empirical parameter with the large sensitivity coefficient according to the comparison result so as to enable the adjusted simulation result to be close to the actually measured data.
(2) Under the condition that the research area lacks measured data, the historical parameter values of the adjacent areas are referred to, whether the position with larger overflow amount simulated by the SWMM model is consistent with the waterlogging-prone slice area or not is compared,
if yes, determining that the SWMM model has adaptability and accuracy when performing hydrological simulation in the research area, and completing construction of the SWMM model;
if not, analyzing the sensitivity of each experience parameter to the SWMM model by adopting the sensitivity analysis method, adjusting the experience parameters according to the analysis result, checking whether the data of the pipe network, the comprehensive pipe gallery rainwater bin and the river are correct or not, and checking whether the division of the sub-catchment areas is reasonable or not.
S3, constructing a SUSTAIN model according to basic data of the research area, and acquiring an LID optimal layout scheme through the SUSTAIN model;
inputting the LID optimization layout scheme into the SWMM model, and performing hydrological simulation on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene through the SWMM model to obtain the hydrological effect under the low-impact development facility scene and the sponge type comprehensive pipe gallery scene.
The method comprises the following steps of constructing a SUSTAIN model, and acquiring an LID optimized layout scheme through the SUSTAIN model, wherein the process comprises the following steps:
(1) considering that the sub-catchment areas and the pipe network are divided finely, and the SUSTAIN model is easy to crash in the running process, generalization needs to be performed on the basis of the pipe network and the sub-catchment areas of the constructed SWMM model, and the method specifically comprises the following steps:
and generalizing the sub-catchment areas in the research area according to the digital elevation model of the research area, the satellite remote sensing image data and the design data of the pipe network and the comprehensive pipe gallery. The area of the current water catchment area is less than 0.5km2In the process, the error between the integrated LID facility and the distributed LID-BMPs facility is less than 5%, so that the area of the water collecting area is controlled to be 0.5km as much as possible by the generalization of the water collecting area2Within.
And generalizing the pipe network of the research area according to the selected water outlet assessment point, the generalized sub-catchment area and the actual pipe network trend.
Considering that too many original land use types can increase the operation load of the SUSTAIN model to cause instability of the model, the land use types of the research area are also generalized according to the size of the research area and the land use type data.
According to the generalized result of the land utilization type, an integrated LID facility is designed in the SUSTAIN model, namely, a single facility is selected firstly, and then the selected facilities are combined into an integrated LID facility for layout. Compared with a distributed LID facility, the integrated LID facility has a better reducing effect on radial flow and pollutants and has a higher simulation running speed.
(2) Carrying out runoff simulation by using an internal simulation or external simulation mode to obtain a time runoff sequence of a corresponding land use type,
wherein, the internal simulation means inputting data for production and confluence calculation into SUSTAIN model; the data for production convergence calculation comprise rainfall data, measurement parameters and experience parameters of the sub-catchment areas and the like;
external simulation refers to inputting data for production and confluence calculation into an external model for production and confluence calculation, which may be HSPF, SWMM or other hydrological models, for example.
In this embodiment, the time runoff sequence is obtained by external simulation, and the SWMM model is selected as the external model, and since the SWMM model inputs the measurement parameters and the empirical parameters of the sub-catchment area in step S22, the rainfall data is input into the SWMM model.
(3) In order to estimate the runoff reduction rate which accords with the actual cost-benefit, LID optimization calculation is carried out in the SUSTAIN model, and a cost-benefit curve of LID optimization layout is obtained; in the cost-benefit curve, the higher the cost, the higher the runoff reduction rate, i.e. the better the runoff reduction effect achieved.
And selecting the runoff reduction rate which accords with the actual cost-benefit as a control target according to the cost-benefit curve, inputting the time runoff sequence into the SUSTAIN model for cost minimization simulation, and obtaining an LID optimal layout scheme. The LID optimization layout scheme is specifically the layout and the number of LIDs in the generalized sub-catchment areas.
The SUSTAIN model realizes cost minimization simulation, and an internally adopted algorithm is a non-dominated sorting genetic algorithm NSGA-II. The algorithm adopts a rapid non-dominated sorting method for classification, reduces the computational complexity, utilizes a congestion degree and congestion degree comparison operator as a winning standard, and combines the classified parent population and child population to expand the sampling space, thereby better processing the optimization problem.
Inputting LID optimization layout scheme into SWMM model, and performing hydrological simulation on low-impact development facility scene and sponge type comprehensive pipe gallery scene through SWMM model respectively, specifically as follows:
aiming at the low-impact development facility scene and the sponge type comprehensive pipe gallery scene, distributing the corresponding LID facility layout and the number of the LID facilities to each sub-catchment area according to the land utilization type proportion, using the LID facility layout and the number of the LID facilities as the number parameters of the LID facilities in the SWMM model, and setting the facility parameters of the LID facilities. The distribution process is realized through ArcGIS, and the facility parameters mainly refer to SUSTAIN user manual, SWMM user manual, low-impact rainwater comprehensive utilization technical standard and other related documents to determine parameter values.
After the quantity parameters and the facility parameters are set, the SWMM model carries out hydrological simulation on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene respectively.
S4, for researching the runoff reduction effect of the sponge type comprehensive pipe gallery, the overflow amount and the water outlet flow are used as evaluation basis, the hydrological effects under the traditional development situation, the traditional comprehensive pipe gallery situation, the low-impact development facility situation and the sponge type comprehensive pipe gallery situation are compared and evaluated, and the hydrological effect evaluation result under the sponge type comprehensive pipe gallery situation is obtained.
In this embodiment, the traditional development scenario refers to the adoption of existing drain network systems within the research area, regardless of the construction of utility corridors and LID facilities. The traditional utility tunnel scene means increases utility tunnel newly on traditional development scene. A low impact development scenario refers to adding LID facilities over traditional development scenarios. Sponge type utility tunnel sight indicates to combine together utility tunnel construction and LID facility transformation, specifically is additionally to add rainwater regulation storehouse and increase drainage ability in utility tunnel construction, carries out LID spongization transformation to city underlying surface simultaneously, jointly promotes city flood control drainage ability.
In this example, the bayberry river basin of the Tianhe wisdom city, Guangzhou city was used as the research area. The section of the bayberry river in the area is small, so that waterlogging disasters often occur. Collecting and processing corresponding basic data according to SUSTAIN and SWMM modeling requirements, wherein the basic data are respectively as follows: as shown in fig. 2, a Digital Elevation Model (DEM) of a bayberry river basin in guangzhou city, 2014, satellite remote sensing image data of the bayberry river basin in guangzhou city, land utilization type data of the bayberry river basin in guangzhou city, 2014, and design data of a pipe network and a comprehensive pipe gallery as shown in fig. 4. The digital elevation model and the land utilization type data are both from the department of homeland, wherein the resolution of the digital elevation model is as high as 8 m. The satellite remote sensing image data can be obtained from Google Earth in Google. The land use type data is locally corrected by combining satellite remote sensing image data and field investigation results, and specific reference can be made to fig. 3. Data such as pipe networks, utility corridors, water bodies and the like all come from project design units, and the data can be specifically seen in fig. 4.
Generalizing a pipe network, a comprehensive pipe gallery rainwater bin and a river, and finally obtaining 154 pipelines, 175 well points and 7 water outlets. According to engineering parameters of the comprehensive pipe gallery rainwater bin, the comprehensive pipe gallery rainwater bin is generalized into a rectangular section and a partial circular water conveying pipe, except for the south of a research area, most of pipe network water flow is discharged to a waxberry river, and therefore an open channel with a river generalized into a trapezoidal section is simulated in an SWMM model. According to the DEM data, the buildings, the traffic road distribution and the pipe network trend, the research area is manually divided into 263 catchment areas, the average area is 5.86 hectares, and the generalized result of the research area can be shown in fig. 4. The values of the empirical parameters are specifically shown in table 1, considering that most of pipelines used in the bayberry river basin of the Tianhe wisdom city in Guangzhou city are made of concrete materials, and the roughness is 0.012 by referring to the SWMM instruction manual.
TABLE 1
The applicability and accuracy of the SWMM model are verified by selecting actual rainfall data (6.8 rainfall) from 2018, 6, 8, 00:00 to 18: 50. The simulation initially found that the well point with the largest overflow volume in the whole research area is NJ00028 located in the waterlogging-prone area downstream of the waxberry river, as shown in FIG. 4. Due to the lack of pipe network flow and water level data, the fact that the point is a flood-prone area (waterlogging occurs when rainstorm occurs) is mainly verified through field investigation and visiting, the simulation result is basically identical to the actual situation, and the constructed SWMM model can be used for researching the hydrological effect of the waxberry river basin under the situations of traditional development, traditional comprehensive pipe corridors, low-impact development facilities and sponge-type comprehensive pipe corridors under the rainfall conditions of different reappearance periods.
Comprehensively considering the influence of factors such as terrain and topography, satellite map and pipe network trend of a research area, and the like, the 263 sub-catchment areas in the SWMM model are generalized to 41 with the maximum area of 0.7km2The rest is less than 0.5km2. The SUSTAIN model can only carry out LID cost benefit optimization by taking one water outlet as an evaluation point every time, and after the most representative water outlet is selected as the evaluation point, generalization is carried out according to the point, the generalized sub-catchment areas and the actual flow direction of the pipe network. As shown in fig. 5, the present embodiment of the present invention, the bayberry river outlet NJ00000 is most representative, and therefore is used as an evaluation point, and the small-range sub-catchment area controlled by other outlets is not considered. And (3) allocating time runoff sequences to the generalized land use types by adopting an external simulation mode, wherein the time runoff sequences are specifically shown in a table 2.
TABLE 2
And selecting low impact development facilities (LID-BMPs) according to the generalization result of the land utilization types to form a set type LID facility. If a high-rise building is suitable for building a green roof, a low-rise building is suitable for installing a rainwater bucket to recycle rainwater, road traffic is suitable for paving a permeable road surface, and other permeable areas (such as forests, bushes, farmlands and the like) are not excessively sponged and transformed and directly flow to a water outlet; in addition, a wet pond needs to be additionally arranged in a research area for storing and treating runoff from a grass planting ditch, a grassland, a permeable pavement and other sponge bodies, a specific visual design scheme is shown in figure 6, and relevant parameters and cost values of LID facilities are shown in a table 3.
TABLE 3
Optimization calculation (cost minimization simulation) is performed in the SUSTAIN model by adopting a non-dominated sorting genetic algorithm NSGA-II, and a cost-benefit curve of LID optimization layout is obtained as shown in FIG. 7. As can be seen from fig. 7, the runoff reduction rate after the LID optimization layout ranges from 5% to 40%, and the corresponding total construction cost ranges from 8.5 billion to 14 billion. By integrating the local projects of the sponge city construction, the capital required by the low-impact development facility per square kilometer is estimated to reach 0.7 billion yuan. The construction of the sponge city is carried out at the budget cost, the highest reduction rate of the inner diameter runoff in a research area can only reach about 30 percent, so that the cost minimization simulation is carried out in a SUSTAIN model by selecting 30 percent of the annual runoff reduction rate as a control target, and the layout and the quantity of LIDs are obtained.
In the SUSTAIN model, the optimized layout and number are presented in a bestsolutions.
TABLE 4
The values of the facility parameters of the LID facility are given in table 6 below.
TABLE 6
The embodiment adopts Chicago rain type as design rain type, designs the rainstorm intensity according to the regional formula of the Tianhe area in Guangzhou city, selects three kinds of rainfall designs of 2a, 20a and 50a in the recurrence period to simulate the urban rainfall in four kinds of scenes of traditional development scene (XZ), traditional comprehensive pipe gallery scene (GL), low-impact development scene (LID) and sponge type comprehensive pipe gallery scene (GL _ LID), and the simulation result is mainly analyzed and evaluated from the large plane of water outlet flow and overflow amount 2. Specifically, a waxberry river water outlet NJ00000 is selected for flow process analysis, and the rainfall-flow process, the peak flow and the peak time of a typical water outlet under the rainfall conditions of P2 a, 20a and 50a are summarized and counted. The rainfall-flow process under rainfall conditions, P2 a, 20a and 50a, see fig. 8(a) -8 (c), respectively, with peak flow and peak occurrence time as shown in table 7. In Table 7, "+" before the peak reduction value means increase and "-" means reduction; the time value of the peak change is "+" before, i.e. representing delay, and "-" before, i.e. representing advance.
TABLE 7
Summarizing the information of underflow points in the traditional development situation, knowing that the node NJ00028 positioned at the downstream of the waxberry river has the most serious overflow condition, and the proportion of the node NJ00028 to the total overflow amount is far greater than that of other overflow points, see table 6, which shows that the severity of the inland inundation at the downstream of the waxberry river has a direct relation with the overflow points, so that the node NJ00028 is selected as a typical overflow point for analysis; in order to analyze the change of the overflow quantity of the waxberry river on the upstream and the downstream under the effect of the comprehensive pipe gallery, NJ00064 positioned on the upstream of the waxberry river is additionally selected for analysis, and the position of a typical overflow point is shown in figure 3. The total amount of flooding and typical flooding points for the different scenarios for each reconstruction period are summarized in table 8 and fig. 9. In table 8, "+" before the reduction ratio value means increase, and "-" means reduction, both in comparison with the conventional development scenario (XZ).
TABLE 8
As can be seen from table 8 and fig. 9: under the action of the underground comprehensive pipe gallery, the flow of the water outlet is increased, the peak time is almost unchanged, but the reduction effect on the overflow amount is obvious, and the reduction rate of the downstream NJ00028 overflow point can reach more than 80%; the low-influence development facility can reduce the flow of the water outlet and delay the peak time, but the reduction effect on the overflow quantity is not as good as that of the underground comprehensive pipe gallery; the reduction effect of the sponge type comprehensive pipe gallery on the overflow amount is optimal, under the rainfall condition in the 50-year recurrence period, the reduction rate of a downstream overflow point is up to 94.28%, the reduction rate on the total overflow amount is up to 61.91%, the flow rate of a water outlet is lower than that of the traditional comprehensive pipe gallery under a 'quick discharge' mode, the peak time is obviously delayed, and the sponge type comprehensive pipe gallery combines the advantages of LID and an underground comprehensive pipe gallery and is an effective flood relief measure. Therefore, the method can be used for accurately simulating and evaluating the hydrological effect of the sponge type comprehensive pipe gallery, and provides a reference basis for planning, designing and constructing future sponge cities.
The techniques described herein may be implemented by various means. For example, these techniques may be implemented in hardware, firmware, software, or a combination thereof. For a hardware implementation, the processing modules may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Programmable Logic Devices (PLDs), field-programmable gate arrays (FPGAs), processors, controllers, micro-controllers, electronic devices, other electronic units designed to perform the functions described herein, or a combination thereof.
For a firmware and/or software implementation, the techniques may be implemented with modules (e.g., procedures, steps, flows, and so on) that perform the functions described herein. The firmware and/or software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (6)
1. A hydrographic effect evaluation method for a sponge type comprehensive pipe gallery is characterized by comprising the following steps:
s1, acquiring basic data of a research area, wherein the basic data comprises a digital elevation model, satellite remote sensing image data, land utilization type data, and design data of a pipe network and a comprehensive pipe gallery;
s2, constructing an SWMM model according to basic data of a research area, and acquiring hydrological effects under the traditional development situation and the traditional comprehensive pipe gallery situation according to the SWMM model; the traditional development situation is that the existing drainage pipe network system in a research area is adopted, and the construction of a comprehensive pipe gallery and LID facilities is not considered; the traditional comprehensive pipe gallery scene refers to a newly-added underground comprehensive pipe gallery on the traditional development scene;
the construction process of the SWMM model comprises the following steps:
s21, generalizing the study area: generalizing a pipe network, a rainwater bin and a river of the comprehensive pipe gallery in a research area according to design data of the pipe network and the comprehensive pipe gallery, and dividing the research area into a plurality of sub-catchment areas;
s22, inputting parameters including measurement parameters and empirical parameters of the sub-catchment areas and the pipe network into the SWMM model;
s23, running the SWMM model, and carrying out calibration adjustment on the empirical parameters according to the model running result;
s3, constructing a SUSTAIN model according to basic data of the research area, and acquiring an LID optimized layout scheme through the SUSTAIN model:
generalizing a sub-catchment area in the research area according to a digital elevation model of the research area, satellite remote sensing image data and design data of a pipe network and a comprehensive pipe gallery;
generalizing the pipe network of the research area according to the selected water outlet assessment point, the generalized sub-catchment area and the actual pipe network trend;
generalizing the land utilization type of the research area according to the size of the research area and the land utilization type data;
designing an integrated LID facility in the SUSTAIN model according to the generalized result of the land utilization type;
carrying out runoff simulation by using an internal simulation or external simulation mode to obtain a time runoff sequence of a corresponding land use type,
wherein, the internal simulation means inputting data for production and confluence calculation into SUSTAIN model; the data for production convergence calculation comprise rainfall data, measurement parameters and experience parameters of the sub-catchment areas;
the external simulation is to input data for production and convergence calculation into an external model for production and convergence calculation, wherein the external model is HSPF, SWMM or other hydrological models;
in order to estimate the runoff reduction rate which accords with the actual cost-benefit, LID optimization calculation is carried out in the SUSTAIN model, and a cost-benefit curve of LID optimization layout is obtained;
selecting a runoff reduction rate which accords with actual cost-benefit as a control target according to a cost-benefit curve, inputting a time runoff sequence into a SUSTAIN model for cost minimization simulation, and obtaining an LID optimal layout scheme;
inputting LID optimization layout scheme into SWMM model, and performing hydrological simulation on low-impact development facility scene and sponge type comprehensive pipe gallery scene through SWMM model respectively:
aiming at the low-impact development facility scene and the sponge type comprehensive pipe gallery scene, distributing the corresponding LID facility layout and the number of the LID facilities to each sub-catchment area according to the land utilization type proportion, using the LID facility layout and the number of the LID facilities as the number parameters of the LID facilities in the SWMM model, and setting the facility parameters of the LID facilities;
after the quantity parameters and the facility parameters are set, hydrologic simulation is respectively carried out on the low-impact development facility scene and the sponge type comprehensive pipe gallery scene by the SWMM model, the hydrologic effect under the low-impact development facility scene and the sponge type comprehensive pipe gallery scene is obtained, and the hydrologic effect under the low-impact development facility scene and the sponge type comprehensive pipe gallery scene is obtained;
the low-impact development scenario refers to adding LID facilities in the traditional development scenario; the sponge type comprehensive pipe gallery scene is that underground comprehensive pipe gallery construction is combined with LID facility transformation;
s4, for researching the runoff reduction effect of the sponge type comprehensive pipe gallery, the overflow amount and the water outlet flow are used as evaluation basis, the hydrological effects under the traditional development situation, the traditional comprehensive pipe gallery situation, the low-impact development facility situation and the sponge type comprehensive pipe gallery situation are compared and evaluated, and the hydrological effect evaluation result under the sponge type comprehensive pipe gallery situation is obtained.
2. The sponge type comprehensive pipe gallery hydrologic effect assessment method according to claim 1, characterized in that in step S1, further comprising: and local correction is carried out on the land use type data by utilizing the satellite remote sensing image data and the on-site investigation result.
3. The sponge type comprehensive pipe gallery hydrological effect evaluation method according to claim 1, wherein in step S21, the sub-catchment areas are divided as follows:
aiming at a research area with a complex pipe network and an undefined flow direction, dividing by adopting a Thiessen polygon method based on well point distribution in the research area, and then performing local manual adjustment;
aiming at a research area with a simpler pipe network and a definite flow direction, hydrologic analysis is carried out on the research area according to a digital elevation model, and watershed in the research area is constructed; and dividing the research area into sub-catchment areas according to the distribution of buildings and traffic roads and the trend of pipe networks in the satellite remote sensing image data.
4. The sponge type comprehensive pipe gallery hydrological effect evaluation method according to claim 1, wherein the measured parameters include area, flood width, average slope, water impermeability, well point parameters, and upstream node, downstream node, pipe length, inlet offset, outlet offset, pipe shape, and maximum depth in the pipeline parameters, the well point parameters including bottom elevation and depth; and, as for the shape of the pipeline, if the pipeline is a circular section, the diameter of the pipeline is the maximum depth; if the pipeline has a rectangular section, the measurement parameters also include the width of the pipeline; if the pipeline is a trapezoidal section, the measurement parameters also comprise the bottom width of the pipeline and the slopes of the left side and the right side;
the empirical parameters comprise parameters of a sub-catchment area, pipeline roughness and infiltration model parameters in pipeline parameters, wherein the parameters of the sub-catchment area comprise a watertight Manning coefficient, a pervious Manning coefficient, a watertight hollow depth, a pervious hollow depth and a non-hollow watertight area ratio of the watertight area; the infiltration model parameters include maximum infiltration rate, minimum infiltration rate and permeability attenuation coefficient.
5. The method for evaluating the hydrological effect of the sponge type comprehensive pipe gallery according to claim 4, wherein the measurement parameters of the sub-catchment area and the pipe network are obtained through ArcGIS;
empirical parameters for the sub-catchment areas and the pipe network: (1) under the condition that the research area has actual measurement data, the empirical parameters are reference actual measurement data;
the method comprises the following steps of carrying out calibration adjustment on empirical parameters according to a model operation result, specifically: considering the subjectivity of the empirical parameters, a sensitivity analysis method is adopted to analyze the sensitivity of each empirical parameter to the SWMM model, and the empirical parameters are adjusted according to the analysis result, wherein the process is as follows:
selecting a water-tight Manning coefficient, a water-tight hollow storage depth, a water-tight area ratio of a water-tight area, a pipeline roughness, a maximum infiltration rate, a minimum infiltration rate and a permeability attenuation coefficient as research parameters, respectively floating up and dropping down the numerical values of the research parameters by certain amplitudes, fixing the numerical values of other parameters, and respectively recording the water outlet flow of the research areaThe simulation result of the quantity or water level is calculated, and the sensitivity coefficient S of each research parameter is calculatediThe formula for calculating the sensitivity coefficient is as follows:
wherein, XiInitial values for the study parameters; Δ XiIs the variation value of the parameter; y (X)i) For investigating the value of the parameter as XiSimulation results of time;
comparing the sensitivity coefficients of the research parameters, and selecting the research parameters with large sensitivity coefficients;
acquiring actually measured flow data through a flowmeter or acquiring actually measured water level data through a water level meter, comparing the actually measured data with a simulation result, and adjusting the selected empirical parameter with a large sensitivity coefficient according to the comparison result so as to enable the adjusted simulation result to be close to the actually measured data;
(2) under the condition that the research area lacks measured data, the empirical parameters refer to historical parameter values used after the same area or adjacent areas are calibrated;
the method comprises the following steps of carrying out calibration adjustment on empirical parameters according to a model operation result, specifically: by referring to the historical parameter values of the adjacent areas, comparing whether the position with larger overflow amount simulated by the SWMM model is consistent with the waterlogging-prone slice area or not,
if yes, determining that the SWMM model has adaptability and accuracy when performing hydrological simulation in the research area, and completing construction of the SWMM model;
if not, analyzing the sensitivity of each experience parameter to the SWMM model by adopting a sensitivity analysis method, adjusting the experience parameters according to the analysis result, checking whether the data of the pipe network, the comprehensive pipe gallery rainwater bin and the river are correct or not, and checking whether the sub-catchment areas are reasonably divided or not.
6. The method for evaluating the hydrological effect of the sponge type comprehensive pipe gallery according to claim 1, wherein an algorithm adopted in the SUSTAIN model when the SUSTAIN model is used for realizing cost minimization simulation is a non-dominated sorting genetic algorithm NSGA-II.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911249898.5A CN111062125B (en) | 2019-12-09 | 2019-12-09 | Hydrological effect evaluation method for sponge type comprehensive pipe gallery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911249898.5A CN111062125B (en) | 2019-12-09 | 2019-12-09 | Hydrological effect evaluation method for sponge type comprehensive pipe gallery |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111062125A CN111062125A (en) | 2020-04-24 |
| CN111062125B true CN111062125B (en) | 2021-06-08 |
Family
ID=70300241
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911249898.5A Active CN111062125B (en) | 2019-12-09 | 2019-12-09 | Hydrological effect evaluation method for sponge type comprehensive pipe gallery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111062125B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112861204B (en) * | 2020-11-16 | 2023-01-20 | 同济大学 | Method, device, terminal and medium for calculating designed flow of culvert in mountain road area |
| CN112883593A (en) * | 2021-03-30 | 2021-06-01 | 北京市水利规划设计研究院 | Method for analyzing influence of underground comprehensive pipe gallery construction on underground water environment |
| CN114357675B (en) * | 2021-12-14 | 2024-03-22 | 华南理工大学 | Method for calculating water outlet flow by replacing SWMM model conveying module |
| CN116128466A (en) * | 2022-11-21 | 2023-05-16 | 深圳大学 | Underground comprehensive pipe gallery flood risk internal and external linkage management and control method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101573261B1 (en) * | 2014-12-30 | 2015-12-02 | 서울과학기술대학교 산학협력단 | Low Impact Development Facilities Design Method Through Multiple Scenario Analysis |
| CN108022047A (en) * | 2017-12-06 | 2018-05-11 | 中山大学 | A kind of sponge Urban Hydrologic computational methods |
| CN109033589A (en) * | 2018-07-13 | 2018-12-18 | 深圳市城市规划设计研究院有限公司 | A kind of pollutants removal rate calculation method considering LID catharsis based on SWMM model |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108388714A (en) * | 2018-02-07 | 2018-08-10 | 杭州师范大学 | The plain river network city flood simulation method of basin water system and urban pipe network coupling |
-
2019
- 2019-12-09 CN CN201911249898.5A patent/CN111062125B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101573261B1 (en) * | 2014-12-30 | 2015-12-02 | 서울과학기술대학교 산학협력단 | Low Impact Development Facilities Design Method Through Multiple Scenario Analysis |
| CN108022047A (en) * | 2017-12-06 | 2018-05-11 | 中山大学 | A kind of sponge Urban Hydrologic computational methods |
| CN109033589A (en) * | 2018-07-13 | 2018-12-18 | 深圳市城市规划设计研究院有限公司 | A kind of pollutants removal rate calculation method considering LID catharsis based on SWMM model |
Non-Patent Citations (5)
| Title |
|---|
| 城市降雨径流控制LID BMPs规划方法及案例;贾海峰等;《水科学进展》;20140331;第25卷(第2期);正文第3.3节 * |
| 基于SUSTAIN模型的LID设施成本效益分析;梁骞等;《中国给水排水》;20170131;第33卷(第1期);摘要、正文第1-5节 * |
| 基于SWMM和LISFLOOD模型的暴雨内涝模拟研究;曾照洋等;《水力发电学报》;20170531;第36卷(第5期);第68-77页 * |
| 基于SWMM的LID与雨水调蓄池联合运行方案功效研究;陈思飖;《中国优秀硕士学位论文全文数据库.工程科技II辑》;20180615(第06期);正文第3.2-3.4、5.1、5.5节 * |
| 汇水区划分对InfoWorks ICM水力模拟结果的影响;言铭等;《中国给水排水》;20190131;第35卷(第1期);正文第1.3节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111062125A (en) | 2020-04-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111062125B (en) | Hydrological effect evaluation method for sponge type comprehensive pipe gallery | |
| Luo et al. | Urban flood numerical simulation: Research, methods and future perspectives | |
| Kong et al. | Modeling stormwater management at the city district level in response to changes in land use and low impact development | |
| CN111428972B (en) | Coupling model-based storage regulation engineering environmental effect evaluation method and device | |
| CN112733337B (en) | Urban road traffic efficiency evaluation method under influence of rainstorm and waterlogging | |
| Amaguchi et al. | Development and testing of a distributed urban storm runoff event model with a vector-based catchment delineation | |
| CN108984823B (en) | Method for determining scale of combined overflow storage tank | |
| CN112101693B (en) | Method for analyzing current urban river water quality standard based on orthogonal analysis | |
| CN115391712A (en) | Urban flood risk prediction method | |
| CN112417657B (en) | Sponge city optimization design method based on different underlying surface pollutant contribution rates | |
| Schoener | Urban runoff in the US Southwest: Importance of impervious surfaces for small-storm hydrology | |
| Kayembe et al. | Determination of subcatchment and watershed boundaries in a complex and highly urbanized landscape | |
| CN108009753A (en) | Urban waterlogging Forecasting Methodology, device, terminal and computer-readable recording medium | |
| CN114139258A (en) | Urban inland inundation modeling evaluation method and system and computer readable storage medium | |
| CN116306340A (en) | Method for simulating urban waterlogging risk distribution under different working conditions | |
| Chen et al. | Modelling the effect of rainfall patterns on the runoff control performance of permeable pavements | |
| CN109033589B (en) | A kind of pollutants removal rate calculation method considering LID catharsis based on SWMM model | |
| Yang et al. | Study on urban flood simulation based on a novel model of SWTM coupling D8 flow direction and backflow effect | |
| Zhang et al. | Restoration of urban water environment landscape system and SWMM technology integration in water-scarce cities | |
| CN112926216A (en) | Sponge city construction evaluation method combining full life cycle cost and hydrological effect | |
| Khaniya et al. | Importance of hydrologic simulation for lids and BMPs design using HEC-HMS: a case demonstration | |
| Li et al. | Lake inflow simulation using the coupled water balance method and Xin’anjiang Model in an ungauged stream of Chaohu Lake Basin, China | |
| Méndez | Hydraulic analysis of urban drainage systems with conventional solutions and sustainable technologies: Case study in Quito, Ecuador | |
| Xu et al. | Multi-Mode Surface Generalization Supports a Detailed Urban Flooding Simulation Model | |
| Liang | Modeling of Modern Eco-Environment Landscape Planning in Sponge City. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |