CN111639420B - Planning method and system for construction of sunken greenbelt facilities - Google Patents

Planning method and system for construction of sunken greenbelt facilities Download PDF

Info

Publication number
CN111639420B
CN111639420B CN202010413691.3A CN202010413691A CN111639420B CN 111639420 B CN111639420 B CN 111639420B CN 202010413691 A CN202010413691 A CN 202010413691A CN 111639420 B CN111639420 B CN 111639420B
Authority
CN
China
Prior art keywords
runoff
under different
green land
land
sunken
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
Application number
CN202010413691.3A
Other languages
Chinese (zh)
Other versions
CN111639420A (en
Inventor
孙彩歌
颜楚倩
侯茵
秦雨涵
叶丹晨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
South China Normal University
Original Assignee
South China Normal University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by South China Normal University filed Critical South China Normal University
Priority to CN202010413691.3A priority Critical patent/CN111639420B/en
Publication of CN111639420A publication Critical patent/CN111639420A/en
Application granted granted Critical
Publication of CN111639420B publication Critical patent/CN111639420B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/04Constraint-based CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling

Abstract

The invention provides a method and a system for constructing and planning a sunken green space facility, wherein the method for constructing and planning the sunken green space facility comprises the following steps: dividing a region to be planned into a plurality of runoff cells, simulating surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model, calculating the surface runoff after the subsidence type green land is added to each runoff cell under different rainfall conditions, and obtaining the reduction amount of the surface runoff after the subsidence type green land is added to each runoff cell according to the surface runoff of each runoff cell under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added to each runoff cell under different rainfall conditions; and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount. The method for planning the construction of the sunken green land facilities can calculate the reduction of the surface runoff by the sunken green land, obtain the runoff plot needing to be additionally provided with the sunken green land and provide planning basis for the construction of the sunken green land facilities.

Description

Planning method and system for construction of sunken greenbelt facilities
Technical Field
The invention relates to the technical field of subsidence type green land planning, in particular to a planning method and a planning system for subsidence type green land facility construction.
Background
Urban inland inundation phenomena exist in most cities in China, rapid urbanization progress leads to rapid increase of urban impervious area, infiltration capacity of internal areas of cities is greatly reduced, and surface runoff is increased. Urban inland inundation not only affects daily life of urban residents, but also brings economic loss and harms life safety of people in severe cases.
The sunken greenbelt is a greenbelt lower than the surrounding ground, and uses an open space to receive and store rainwater so as to achieve the function of reducing runoff discharge.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a planning method and a system for the construction of a sunken green space facility.
One embodiment of the present invention provides a method for planning the construction of a sunken green space facility, comprising:
step 1: dividing an area to be planned into a plurality of runoff cells;
step 2: simulating surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model;
and step 3: determining a project constraint set of a sunken green land in the region to be planned, selecting a soil texture type region meeting the requirements of the project constraint set from a soil texture distribution map of the region to be planned, and excluding regions which cannot be used for constructing the sunken green land in the soil texture type region according to current land utilization data and land planning data to obtain regions which can be used for constructing the sunken green land in the region to be planned;
and 4, step 4: making a first table for the green land area ratio of each runoff plot and the data of surface runoff of each runoff plot under different rainfall conditions by using SPSS software; performing fitting analysis on the data of the first table by using SPSS software to obtain a corresponding linear model, and performing operation of a fitting equation on the linear relation of the linear model to obtain a first function expression of the green space area ratio of each runoff plot and the surface runoff of each runoff plot under different rainfall conditions;
and 5: according to the distribution of the area capable of constructing the sunken green land in each runoff plot, the area capable of constructing the sunken green land is combined with the original green land occupation range to obtain total green land area proportion data after the sunken green land is added, the total green land area proportion data after the sunken green land is added are substituted into the first function expression, and the surface runoff of each runoff plot after the sunken green land is added under different rainfall conditions is calculated;
step 6: obtaining the reduction amount of the surface runoff after the subsidence type green land is added in each runoff plot according to the surface runoff of each runoff plot under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added in each runoff plot under different rainfall conditions;
and 7: and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount.
Compared with the prior art, the method for planning the construction of the sunken green land facilities can calculate the reduction of the surface runoff by the sunken green land, obtain the runoff plot needing to be additionally provided with the sunken green land, provide a planning basis for the construction of the sunken green land facilities, and also provide a basis for the planning of reducing the risk of urban waterlogging and the planning of sponge cities.
Further, before step 1, the method also comprises the following steps: and establishing a digital elevation model of the area to be planned, and performing hole filling and/or confluence analysis on the digital elevation model of the area to be planned according to the terrain flatness degree and the river network density degree of the area to be planned. The impact of the recessed areas of the digital elevation model surface is reduced by puddle and/or confluence analysis.
Further, in the step 2, a runoff curve coefficient CN value in the SCS-CN model is determined according to the soil type based on the land utilization data and the impervious surface data of the area to be planned. And combining land utilization data and impervious surface data to enable the simulation result of the SCS-CN model to be more accurate.
Further, in step 2, the calculation of surface runoff of the runoff plot under different rainfall conditions comprises the following steps:
Figure GDA0002932048220000021
wherein S is the potential maximum stagnant water amount of the basin of the runoff plot, and CN is a runoff curve coefficient CN value in the SCS-CN model;
if P is less than or equal to 0.2S, Q is 0, and Q is the surface runoff of the runoff plot under different rainfall conditions;
if P>0.2S, then
Figure GDA0002932048220000022
Wherein P is rainfall. And calculating surface runoff of the runoff plot under different rainfall conditions.
Further, in step 3, the data of the terrain and digital elevation models of the area where the sunken green land can be built are in accordance with the data of the terrain and digital elevation models suggested by the engineering constraint set. The method is favorable for correctly selecting the data of the terrain and digital elevation model of the area where the sunken greenbelt can be built.
Further, in step 3, the range of the area where the sunken green land can be built is adjusted by combining with the specific soil type data of the area to be planned. A more accurate range of areas in which the sunken greenbelts can be constructed is obtained.
Further, step 3 further comprises: the visualized area where the sunken green land can be constructed is obtained by utilizing ArcGIS software. The area where the sunken green land can be constructed is more visually displayed.
Further, in step 2, grid surface runoff of each runoff cell under different rainfall conditions is simulated through an SCS-CN model, an average value of the surface runoff of each runoff cell is calculated according to the grid surface runoff of each runoff cell under different rainfall conditions, and the average value of the surface runoff of each runoff cell is used as the surface runoff of each runoff cell under different rainfall conditions. And the surface runoff of each runoff plot under different rainfall conditions is calculated more accurately.
An embodiment of the present invention further provides a submerged greenbelt facility construction planning system, including:
the system comprises a dividing module, a planning module and a planning module, wherein the dividing module is used for dividing an area to be planned into a plurality of runoff cells;
the first simulation module simulates surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model;
the region screening module is used for determining a project constraint set of the sunken green land in the region to be planned, selecting a soil texture type region meeting the requirements of the project constraint set from a soil texture distribution map of the region to be planned, and excluding regions which cannot be used for constructing the sunken green land in the soil texture type region according to current land utilization data and land planning data to obtain regions which can be used for constructing the sunken green land in the region to be planned;
fitting an equation module: making a first table for the green land area ratio of each runoff plot and the data of surface runoff of each runoff plot under different rainfall conditions by using SPSS software; performing fitting analysis on the data of the first table by using SPSS software to obtain a corresponding linear model, and performing operation of a fitting equation on the linear relation of the linear model to obtain a first function expression of the green space area ratio of each runoff plot and the surface runoff of each runoff plot under different rainfall conditions;
the first calculation module is used for obtaining total green land area ratio data after the addition of the sunken green lands according to the distribution of the areas capable of constructing the sunken green lands in each runoff plot and the combination of the areas capable of constructing the sunken green lands and the original green land occupied area range, substituting the total green land area ratio data after the addition of the sunken green lands into the first function expression and calculating surface runoff after the addition of the sunken green lands in each runoff plot under different rainfall conditions;
a reduction amount calculation module: obtaining the reduction amount of the surface runoff after the subsidence type green land is added in each runoff plot according to the surface runoff of each runoff plot under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added in each runoff plot under different rainfall conditions;
an output module: and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount.
Compared with the prior art, the planning system for the sunken green land facility construction can calculate the reduction of the sunken green land on surface runoff, obtain a runoff plot needing to be additionally provided with the sunken green land, provide a planning basis for the sunken green land facility construction, and also provide a basis for the planning of reducing the urban waterlogging risk and the planning of a sponge city.
The system further comprises a second simulation module, wherein grid surface runoff of each runoff cell under different rainfall conditions is simulated through an SCS-CN model, the average value of the surface runoff of each runoff cell is calculated according to the grid surface runoff of each runoff cell under different rainfall conditions, and the average value of the surface runoff of each runoff cell is used as the surface runoff of each runoff cell under different rainfall conditions. And the surface runoff of each runoff plot under different rainfall conditions is calculated more accurately.
In order that the invention may be more clearly understood, specific embodiments thereof will be described hereinafter with reference to the accompanying drawings.
Drawings
Fig. 1 is a step diagram of a method for planning the construction of a sunken greenbelt facility according to an embodiment of the present invention.
Fig. 2 is a diagram of a city runoff plot partition in accordance with an embodiment of the present invention.
FIG. 3 is a graph of the frequency of rainfall in a city according to an embodiment of the present invention.
Fig. 4 is a surface runoff diagram of a runoff plot of a city at different rainfall frequencies in the city according to an embodiment of the present invention.
Fig. 5 is a regional distribution diagram of a city where a sunken green space can be constructed, in accordance with an embodiment of the present invention.
Fig. 6 is a diagram of a simulation function of green space area ratio and runoff volume relationship of a runoff plot of a city according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-6, fig. 1 is a step diagram of a method for planning the construction of a sunken green space facility according to an embodiment of the present invention; fig. 2 is a diagram of a city runoff plot division according to an embodiment of the present invention; FIG. 3 is a graph illustrating how much rainfall occurs in a city, in accordance with one embodiment of the present invention; fig. 4 is a surface runoff diagram of a runoff plot of a city at different rainfall frequencies in the city according to an embodiment of the present invention; FIG. 5 is a map of a region of a city where a sunken green space can be constructed, in accordance with one embodiment of the present invention; fig. 6 is a diagram of a simulation function of green space area ratio and runoff volume relationship of a runoff plot of a city according to an embodiment of the present invention.
Referring to fig. 1, a method for planning the construction of a sunken green space facility according to an embodiment of the present invention includes the steps of:
step 1: and establishing a digital elevation model of the area to be planned, performing hole filling and/or confluence analysis on the digital elevation model of the area to be planned according to the terrain flatness degree and the river network density degree of the area to be planned, and dividing the research area into a plurality of runoff cells.
The area to be planned can be a certain city, and can also be a certain region, town and the like in the city.
The runoff plot is divided based on topographic features of the area to be planned and can be used for observing precipitation, runoff and sediment.
Step 2: and simulating surface runoff of each runoff cell under different rainfall conditions by using an SCS-CN model.
And step 2, determining a runoff curve coefficient CN value in the SCS-CN model according to the soil type based on the land utilization data and the impervious surface data of the area to be planned.
The calculation of the surface runoff of the runoff plot under different rainfall conditions comprises the following steps:
Figure GDA0002932048220000051
wherein S is the potential maximum stagnant water amount of the basin of the runoff plot, and CN is a runoff curve coefficient CN value in the SCS-CN model;
if P is less than or equal to 0.2S, Q is 0, and Q is the surface runoff of the runoff plot under different rainfall conditions;
if P>0.2S, then
Figure GDA0002932048220000052
Wherein P is rainfall.
The land utilization data includes cultivated land, woodland, grassland, shrub, wetland, water area, bare land, and the like.
In some embodiments, step 2 simulates grid surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model, calculates an average value of the surface runoff of each runoff cell according to the grid surface runoff of each runoff cell under different rainfall conditions, and takes the average value of the surface runoff of each runoff cell as the surface runoff of each runoff cell under different rainfall conditions.
And step 3: determining a project constraint set of the sunken green land in the region to be planned, selecting a soil texture type region meeting the requirements of the project constraint set from a soil texture distribution map of the region to be planned, and excluding regions which cannot be used for constructing the sunken green land in the soil texture type region according to current land utilization data and land planning data to obtain the region which can be used for constructing the sunken green land in the region to be planned.
The texture types of the soil are divided into three categories of sandy soil, clay soil and loam soil.
The land use status data comprises the land which is not used yet and the land which is used and the parameters of the position, the range and the like of the land.
The land planning data comprises land where the area to be planned is included in other land plans, or land positions and ranges of land where sunken greenbelts cannot be built due to geographical conditions, land plans or human customs and other factors.
Taking a certain city as an example, determining an engineering constraint set for sunken green land construction of the certain city, wherein the engineering constraint set is shown in table 1:
table 1: engineering constraint set for sunken green land construction
Figure GDA0002932048220000053
In some embodiments, the data of the terrain and digital elevation models for the area of the settleable greenfield are in accordance with the data of the terrain and digital elevation models suggested by the set of engineering constraints, and the extent of the area of the settleable greenfield is adjustable according to parameters or conditions suitable for constructing the data of the terrain and digital elevation models for the settleable greenfield.
In some embodiments, step 3 further combines specific soil type data of the area to be planned to adjust the range of the area where the sunken green land can be constructed.
The soil type data includes but is not limited to soil texture type, soil moisture content, total porosity size, and other parameters.
In some embodiments, step 3 may also be implemented according to the following steps:
step 3.1: determining a project constraint set of a sunken green land in the area to be planned, and selecting a soil texture type suitable for construction from a soil texture distribution map of the area to be planned; and removing land used for construction according to the current land utilization data of the area to be planned, and removing land incapable of constructing the sunken green land according to the current land utilization data and the land planning data, so as to obtain the area capable of constructing the sunken green land.
Step 3.2: and selecting an area of a second constructable sunken green land according to the data of the terrain and digital elevation model suggested by the engineering constraint set and by combining the terrain and elevation suitable for the area to be planned.
Step 3.3: and selecting a third region capable of constructing the sunken green land according to the specific soil type data of the region to be planned and by combining the first region capable of constructing the sunken green land and the second region capable of constructing the sunken green land, and taking the third region capable of constructing the sunken green land as the final region capable of constructing the sunken green land.
The sequence of steps 3.1-3.2 is not limited and the skilled person can modify the sequence of steps 3.1-3.2 in order to obtain a zone where a sunken greenbelt can be built.
In this embodiment, one skilled in the art can use computer software, such as ArcGIS, to process the combination of data and generate a visualized area of the settleable greenfield.
The step of ArcGIS processing the combination of data and generating a visualized area of settleable greens can be the following steps:
A. and importing the current land utilization data of the area to be planned into ArcGIS, removing land areas capable of constructing sunken greenbelts through a screening function of the ArcGIS, selecting areas capable of constructing the sunken greenbelts, and converting the areas capable of constructing the sunken greenbelts into first vector data.
B. And importing the data of the digital elevation model of the area to be planned into ArcGIS, analyzing by a grid calculator of the ArcGIS to obtain an area with the altitude of below 1000 m, selecting an area capable of constructing the second sunken green land, and converting the area capable of constructing the second sunken green land into second vector data.
C. And importing the specific soil type data of the area to be planned into ArcGIS, extracting the area which accords with the soil type data of the engineering constraint set through the screening function of the ArcGIS, performing superposition analysis on the area which accords with the soil type data of the engineering constraint set, the first vector data and the second vector data through an analysis tool of the ArcGIS to obtain an area which can be used for building a sunken green land, and taking the area which can be used for building the sunken green land as the final area which can be used for building the sunken green land.
And 4, step 4: making a first table for the green land area ratio of each runoff plot and the data of surface runoff of each runoff plot under different rainfall conditions by using SPSS software; and performing fitting analysis on the data of the first table by using SPSS software to obtain a corresponding linear model, and performing fitting equation operation on the linear relation of the linear model to obtain a first function expression of the green space area ratio of each runoff plot and the surface runoff of each runoff plot under different rainfall conditions.
And 5: according to the distribution of the area capable of constructing the sunken green land in each runoff plot, the area capable of constructing the sunken green land is combined with the original green land occupation range to obtain total green land area proportion data after the sunken green land is additionally arranged, the total green land area proportion data after the sunken green land is additionally arranged is substituted into the first function expression, and the surface runoff of each runoff plot after the sunken green land is additionally arranged under different rainfall conditions is calculated.
Step 6: and obtaining the reduction amount of the surface runoff after the subsidence type green land is added in each runoff plot according to the surface runoff of each runoff plot under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added in each runoff plot under different rainfall conditions.
And 7: and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount.
As shown in fig. 2, for a certain city as an example, the shape of the city is flat and the river network is densely distributed, so that the digital elevation model of the certain city is filled with the depressions, which is beneficial to reducing the situation that the water flow direction is consistent and the parallel pseudo-river channels are generated. Preferably, a lower value of the fill-in threshold is set for the digital elevation model of the certain city. For example: and establishing a digital elevation model of a certain city based on the grid resolution of 30m, performing hole filling and confluence analysis on data of the digital elevation model of the certain city, and determining 306 runoff cells according to the topographic features of the certain city.
As shown in FIG. 3, according to the daily rainfall data of 2017 in 2015-year in a certain city, a rainfall frequency curve is obtained, and the rainfall capacities of 0.1%, 1%, 5%, 10%, 25% and 50% of the rainfall frequency in the certain city are 190.42mm/h, 115.03mm/h, 65.20mm/h, 45.16mm/h, 21.19mm/h and 6.73mm/h respectively. Taking the rainfall frequency of 0.1% as an example, the specific meaning is that the probability of the rainfall event with the rainfall amount of more than 190.42mm occurring in a certain city is only 0.1%, and the rainfall event is relatively extreme.
As shown in fig. 4, surface runoff of each runoff cell of the certain city under different rainfall conditions is simulated through an SCS-CN model. Wherein, (a) corresponds to a rainfall of 6.73 mm/h; (b) corresponding to the rainfall of 21.19 mm/h; (c) corresponding to the rainfall of 45.16 mm/h; (d) corresponding to the rainfall of 65.20 mm/h; (e) corresponding to the rainfall of 115.03 mm/h; (f) corresponding to a rainfall of 190.42 mm/h.
As shown in fig. 5, 72 runoff plots of the certain city are obtained according to table 1 as areas where the sunken green lands can be constructed, and the visualized areas where the sunken green lands can be constructed of the certain city are generated by using ArcGIS.
Using the SPSS software to make a first table of the green land area ratio of a certain runoff plot of the certain city and the data of surface runoff of each runoff plot under different rainfall conditions, as shown in table 2:
table 2: first table
Figure GDA0002932048220000081
Wherein Q1 represents a condition that the rainfall frequency is 0.1% and the rainfall amount is 190.47mm, Q2 represents a condition that the rainfall frequency is 1% and the rainfall amount is 115.03mm, Q3 represents a condition that the rainfall frequency is 5% and the rainfall amount is 65.20mm, Q4 represents a condition that the rainfall frequency is 10% and the rainfall amount is 45.16mm, and Q5 represents a condition that the rainfall frequency is 25% and the rainfall amount is 21.19 mm.
As shown in fig. 6, taking a certain runoff plot of the certain city as an example, the SPSS software is used to perform fitting analysis on the data of the first table of the runoff plot, so as to obtain a corresponding linear model, and then the linear relation of the linear model is subjected to the operation of a fitting equation, so as to obtain a first function expression of the green area ratio of the certain runoff plot of the certain city and the surface runoff of the runoff plot under different rainfall conditions: q1: y is 173.099-0.376X;
Q2:Y=98.984-0.323X;
Q3:Y=50.245-0.245X;
Q4:Y=31.828-0.198X;
Q5:Y=10.279-0.092X;
wherein, X is the green land area ratio in the runoff plot, and Y is the surface runoff in the runoff plot with different green land area ratios.
After fitting the equation with SPSS, the program will automatically calculate R2And F value, which is used to demonstrate the fitness of the equation. Wherein R is2The fitting degree of the trend line is an index of the fitting degree of the trend line, the numerical value of the index can reflect the fitting degree between the estimated value of the trend line and corresponding actual data, and the higher the fitting degree is, the higher the reliability of the trend line is. The F value is the statistical value of the F test. The F-test is a test in which the statistical values obey the F-distribution under the null hypothesis.
Calculating surface runoff of the 72 runoff cells of the certain city under different rainfall conditions according to the step 2, calculating the surface runoff of the 72 runoff cells of the certain city under different rainfall conditions after the addition of the sunk green lands according to the steps 4 and 5, and obtaining the reduction amount of the surface runoff of the 72 runoff cells of the certain city after the addition of the sunk green lands according to the difference value of the surface runoff of the 72 runoff cells of the certain city under different rainfall conditions and the surface runoff of the 72 runoff cells of the certain city under different rainfall conditions after the addition of the sunk green lands.
Taking the condition that the rainfall frequency in a certain city is 0.1% and the rainfall is 190.42mm/h as an example, the amount of reduction of surface runoff under the condition after the sunken green land is added in the 72 runoff plots of the certain city is shown in table 3:
table 3: the amount of surface runoff is reduced under the condition after the 72 runoff districts of a certain city increase sunken green lands
Figure GDA0002932048220000091
Figure GDA0002932048220000101
And obtaining the runoff plot of the certain city needing to be additionally provided with the sunken green land according to the reduction amount in the table 3. Preferably, 10mm is used as the threshold value of the reduction amount, so that a runoff plot with the reduction amount of surface runoff exceeding 10mm after the subsidence type green land is increased is obtained as the runoff plot needing to be additionally provided with the subsidence type green land.
In other embodiments, the threshold for the reduction may be altered by a person skilled in the art based on differences in city construction.
In the present application, the order of steps 2-5 is not exclusive, and the order of steps 2-5 may be reasonably modified by one skilled in the art according to personal habits.
Compared with the prior art, the planning method for the sunken green land facility construction can calculate the reduction of the sunken green land on surface runoff, obtain the runoff plot needing to be additionally provided with the sunken green land, provide a planning basis for the sunken green land facility construction, and also provide a basis for the planning of reducing the urban waterlogging risk and the planning of a sponge city.
An embodiment of the present invention further provides a submerged greenbelt facility construction planning system, including:
the system comprises a dividing module, a planning module and a planning module, wherein the dividing module is used for dividing an area to be planned into a plurality of runoff cells;
the first simulation module simulates surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model;
the region screening module is used for determining a project constraint set of the sunken green land in the region to be planned, selecting a soil texture type region meeting the requirements of the project constraint set from a soil texture distribution map of the region to be planned, and excluding regions which cannot be used for constructing the sunken green land in the soil texture type region according to current land utilization data and land planning data to obtain regions which can be used for constructing the sunken green land in the region to be planned;
fitting an equation module: making a first table for the green land area ratio of each runoff plot and the data of surface runoff of each runoff plot under different rainfall conditions by using SPSS software; performing fitting analysis on the data of the first table by using SPSS software to obtain a corresponding linear model, and performing operation of a fitting equation on the linear relation of the linear model to obtain a first function expression of the green space area ratio of each runoff plot and the surface runoff of each runoff plot under different rainfall conditions;
the first calculation module is used for obtaining total green land area ratio data after the addition of the sunken green lands according to the distribution of the areas capable of constructing the sunken green lands in each runoff plot and the combination of the areas capable of constructing the sunken green lands and the original green land occupied area range, substituting the total green land area ratio data after the addition of the sunken green lands into the first function expression and calculating surface runoff after the addition of the sunken green lands in each runoff plot under different rainfall conditions;
a reduction amount calculation module: obtaining the reduction amount of the surface runoff after the subsidence type green land is added in each runoff plot according to the surface runoff of each runoff plot under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added in each runoff plot under different rainfall conditions;
an output module: and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount.
Compared with the prior art, the planning system for the submerged greenbelt facility construction can correspondingly implement the method for planning the submerged greenbelt facility construction, calculate the reduction amount of the surface runoff of the submerged greenbelt, obtain the runoff plot needing to be additionally provided with the submerged greenbelt, provide a planning basis for the submerged greenbelt facility construction, and also provide a basis for the planning of reducing the urban waterlogging risk and the planning of a sponge city.
In another embodiment, the system further comprises a second simulation module, wherein grid surface runoff of each runoff cell under different rainfall conditions is simulated through an SCS-CN model, an average value of the surface runoff of each runoff cell is calculated according to the grid surface runoff of each runoff cell under different rainfall conditions, and the average value of the surface runoff of each runoff cell is used as the surface runoff of each runoff cell under different rainfall conditions. And the surface runoff of each runoff plot under different rainfall conditions is calculated more accurately.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A submerged greenbelt facility construction planning method is characterized by comprising the following steps:
step 1: dividing an area to be planned into a plurality of runoff cells;
step 2: simulating surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model;
and step 3: determining a project constraint set of a sunken green land in the region to be planned, selecting a soil texture type region meeting the requirements of the project constraint set from a soil texture distribution map of the region to be planned, and excluding regions which cannot be used for constructing the sunken green land in the soil texture type region according to current land utilization data and land planning data to obtain regions which can be used for constructing the sunken green land in the region to be planned;
and 4, step 4: making a first table for the green land area ratio of each runoff plot and the data of surface runoff of each runoff plot under different rainfall conditions by using SPSS software; performing fitting analysis on the data of the first table by using SPSS software to obtain a corresponding linear model, and performing operation of a fitting equation on the linear relation of the linear model to obtain a first function expression of the green space area ratio of each runoff plot and the surface runoff of each runoff plot under different rainfall conditions;
and 5: according to the distribution of the area capable of constructing the sunken green land in each runoff plot, the area capable of constructing the sunken green land is combined with the original green land occupation range to obtain total green land area proportion data after the sunken green land is added, the total green land area proportion data after the sunken green land is added are substituted into the first function expression, and the surface runoff of each runoff plot after the sunken green land is added under different rainfall conditions is calculated;
step 6: obtaining the reduction amount of the surface runoff after the subsidence type green land is added in each runoff plot according to the surface runoff of each runoff plot under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added in each runoff plot under different rainfall conditions;
and 7: and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount.
2. The method for planning the construction of a sunken green space facility according to claim 1, further comprising the following steps before step 1:
and establishing a digital elevation model of the area to be planned, and performing hole filling and/or confluence analysis on the digital elevation model of the area to be planned according to the terrain flatness degree and the river network density degree of the area to be planned.
3. The method for planning the construction of a sunken green space facility according to claim 1, wherein: and step 2, determining a runoff curve coefficient CN value in the SCS-CN model according to the soil type based on the land utilization data and the impervious surface data of the area to be planned.
4. The method for planning the construction of a sunken green space facility according to claim 3, wherein: in step 2, the calculation of the surface runoff of the runoff plot under different rainfall conditions comprises the following steps:
Figure FDA0002932048210000011
wherein S is the potential maximum stagnant water amount of the basin of the runoff plot, and CN is a runoff curve coefficient CN value in the SCS-CN model;
if P is less than or equal to 0.2S, Q is 0, and Q is the surface runoff of the runoff plot under different rainfall conditions;
if P>0.2S, then
Figure FDA0002932048210000021
Wherein P is rainfall.
5. The method for planning the construction of a sunken green space facility according to claim 1, wherein: and 3, the data of the terrain and digital elevation model of the area capable of constructing the sunken green land conforms to the data of the terrain and digital elevation model suggested by the engineering constraint set.
6. The method for planning the construction of a sunken green space facility according to claim 1, wherein: and 3, adjusting the range of the area capable of building the sunken green land by combining the specific soil type data of the area to be planned.
7. The method for planning the construction of a sunken green space facility according to claim 1, wherein the step 3 further comprises: the visualized area where the sunken green land can be constructed is obtained by utilizing ArcGIS software.
8. The method according to claim 1, wherein in step 2, grid surface runoff of each runoff cell under different rainfall conditions is simulated through an SCS-CN model, an average value of the surface runoff of each runoff cell is calculated according to the grid surface runoff of each runoff cell under different rainfall conditions, and the average value of the surface runoff of each runoff cell is used as the surface runoff of each runoff cell under different rainfall conditions.
9. A submerged greenbelt facility construction planning system, comprising:
the system comprises a dividing module, a planning module and a planning module, wherein the dividing module is used for dividing an area to be planned into a plurality of runoff cells;
the first simulation module simulates surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model;
the region screening module is used for determining a project constraint set of the sunken green land in the region to be planned, selecting a soil texture type region meeting the requirements of the project constraint set from a soil texture distribution map of the region to be planned, and excluding regions which cannot be used for constructing the sunken green land in the soil texture type region according to current land utilization data and land planning data to obtain regions which can be used for constructing the sunken green land in the region to be planned;
fitting an equation module: making a first table for the green land area ratio of each runoff plot and the data of surface runoff of each runoff plot under different rainfall conditions by using SPSS software; performing fitting analysis on the data of the first table by using SPSS software to obtain a corresponding linear model, and performing operation of a fitting equation on the linear relation of the linear model to obtain a first function expression of the green space area ratio of each runoff plot and the surface runoff of each runoff plot under different rainfall conditions;
the first calculation module is used for obtaining total green land area ratio data after the addition of the sunken green lands according to the distribution of the areas capable of constructing the sunken green lands in each runoff plot and the combination of the areas capable of constructing the sunken green lands and the original green land occupied area range, substituting the total green land area ratio data after the addition of the sunken green lands into the first function expression and calculating surface runoff after the addition of the sunken green lands in each runoff plot under different rainfall conditions;
a reduction amount calculation module: obtaining the reduction amount of the surface runoff after the subsidence type green land is added in each runoff plot according to the surface runoff of each runoff plot under different rainfall conditions and the difference value of the surface runoff after the subsidence type green land is added in each runoff plot under different rainfall conditions;
an output module: and obtaining a runoff plot needing to be additionally provided with the sunken green land according to the reduction amount.
10. The system according to claim 9, wherein: the system also comprises a second simulation module which simulates grid surface runoff of each runoff cell under different rainfall conditions through an SCS-CN model, calculates the average value of the surface runoff of each runoff cell according to the grid surface runoff of each runoff cell under different rainfall conditions, and takes the average value of the surface runoff of each runoff cell as the surface runoff of each runoff cell under different rainfall conditions.
CN202010413691.3A 2020-05-15 2020-05-15 Planning method and system for construction of sunken greenbelt facilities Active CN111639420B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010413691.3A CN111639420B (en) 2020-05-15 2020-05-15 Planning method and system for construction of sunken greenbelt facilities

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010413691.3A CN111639420B (en) 2020-05-15 2020-05-15 Planning method and system for construction of sunken greenbelt facilities

Publications (2)

Publication Number Publication Date
CN111639420A CN111639420A (en) 2020-09-08
CN111639420B true CN111639420B (en) 2021-06-01

Family

ID=72330888

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010413691.3A Active CN111639420B (en) 2020-05-15 2020-05-15 Planning method and system for construction of sunken greenbelt facilities

Country Status (1)

Country Link
CN (1) CN111639420B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7136756B1 (en) * 2004-11-02 2006-11-14 Vieux And Associates, Inc. Method for determining runoff
CN106570267A (en) * 2016-10-28 2017-04-19 上海市政工程设计研究总院(集团)有限公司 Regulation and storage design and model verification method for mountain parks built on the basis of sponge city concept
CN109242355A (en) * 2018-10-24 2019-01-18 上海市政工程设计研究总院(集团)有限公司 The low influence development index decomposition method in regulatory plan stage sponge city

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105868462B (en) * 2016-03-28 2018-11-09 清华大学 A kind of sponge city source controls the optimization method of facilities design

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7136756B1 (en) * 2004-11-02 2006-11-14 Vieux And Associates, Inc. Method for determining runoff
CN106570267A (en) * 2016-10-28 2017-04-19 上海市政工程设计研究总院(集团)有限公司 Regulation and storage design and model verification method for mountain parks built on the basis of sponge city concept
CN109242355A (en) * 2018-10-24 2019-01-18 上海市政工程设计研究总院(集团)有限公司 The low influence development index decomposition method in regulatory plan stage sponge city

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
The Application Research of Sunken Green Space on the Sponge City Designation (An Ecological Perspective);Minghua Wei等;《Ekoloji》;20191231;全文 *
The sustainable approach to the green space layout in high-density urban environment: a case study of Macau peninsula;Li Min等;《Procedia Engineering 21》;20111231;全文 *
专项规划阶段的年径流总量控制率指标分解研究——以大同市中心城区为例;路广英等;《建设科技》;20180131;全文 *
亚热带季风区城市典型绿化屋顶的径流削减效应;徐田婧等;《生态学报》;20191030;第39卷(第20期);全文 *
基于SWMM模型的海绵城市径流水量及水质模拟;罗陶然;《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》;20200315;全文 *

Also Published As

Publication number Publication date
CN111639420A (en) 2020-09-08

Similar Documents

Publication Publication Date Title
CN107832931B (en) Modularized analysis method for waterlogging risk in plain water network region
CN112100720B (en) Artificial intelligence city design form layout method for improving wind environment
CN107704592A (en) A kind of flood forecasting service construction method based on WebGIS
CN106780089B (en) Permanent basic farmland planning method based on neural network cellular automaton model
CN112199901B (en) Rainstorm flood calculation method for mountainous area small-watershed mountain flood design without runoff data
CN114372685A (en) Urban rainstorm waterlogging risk assessment method based on SWMM model
CN111507375B (en) Urban waterlogging risk rapid assessment method and system
CN114647881B (en) Urban waterlogging modeling method considering microscopic hydrologic process of building
CN110543984A (en) Urban water surface rate planning method based on water safety
Maskong et al. Flood hazard mapping using on-site surveyed flood map, Hecras V. 5 and GIS tool: a case study of Nakhon Ratchasima Municipality, Thailand
CN115130396A (en) Distributed hydrological model modeling method for riverway type reservoir area
CN115329691B (en) CFD and GIS-based ultra-large city wind environment simulation method
CN115115262B (en) Flood risk disaster assessment method
CN110175370A (en) A kind of REGION OF WATER INJECTION OILFIELD recognition methods of city charge for remittance
CN108009753A (en) Urban waterlogging Forecasting Methodology, device, terminal and computer-readable recording medium
CN116911699A (en) Method and system for fine dynamic evaluation of toughness of urban flood disaster response
Li et al. Slope spectrum variation in a simulated loess watershed
CN116401327A (en) Storm flood calculation auxiliary system for small and medium-sized watershed design in non-data area
CN108062631B (en) Urban waterlogging risk assessment method and device and terminal
CN111639420B (en) Planning method and system for construction of sunken greenbelt facilities
CN101763659B (en) Method for automatically generating large-scale digitization altitude data model based on image set
CN113869804B (en) Power grid equipment risk early warning method and system under flood disaster
CN115965243A (en) Model chain for dynamic evaluation of flood risk under land use change
Ghazavi et al. Modelling and assessment of urban flood hazards based on rainfall intensity-duration-frequency curves reformation
CN114463564A (en) Ridge line extraction method combining morphological characteristics and runoff simulation

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