CN110135103A - A kind of method and system using water flow simulation Urban Natural ventilation potentiality - Google Patents
A kind of method and system using water flow simulation Urban Natural ventilation potentiality Download PDFInfo
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Abstract
The invention discloses a kind of methods using water flow simulation Urban Natural ventilation potentiality, comprising: obtains topographic map, satellite mapping, aspect graph and the leading wind pressure diagram in city；The grid map of topographic map, aspect graph and leading wind pressure diagram is determined respectively；Data in the correspondence grid of three grid maps of acquisition are carried out with accumulative summation respectively, obtains underlying surface digital elevation model；According to the underlying surface digital elevation model of foundation, hydrological analysis is carried out, network of rivers model is obtained；Network of rivers model is the ventilation gallery distributed model in city；The ventilation gallery distributed model in city is added on the satellite mapping in city, determines the Natural Ventilation Potential in city.The present invention also provides a kind of systems using water flow simulation Urban Natural ventilation potentiality.It is provided by the invention using water flow simulation Urban Natural ventilation potentiality method and system, can Fast simulation obtain the Natural Ventilation Potential in city, effectively reflect the influence that different wind direction and wind velocities divulge information to city.
Description
Technical field
The present invention relates to fluid mechanics technologies, more particularly to a kind of using water flow simulation Urban Natural ventilation potentiality
Method and system.
Background technique
To the understanding of Urban Natural ventilation potentiality for having great importance for instructing urban planning and construction, well
City ventilation urban air can be promoted to recycle, reduce air pollution especially releive the summer so as to improve city ventilated environment
The tropical island effect in season lowers winter haze occurrence frequency.
In the prior art, method for numerical simulation, such as meteorologic analysis are mostly used to the wind environment simulation of whole City-scale
Forecasting model (WRF, Weather Research and Forecasting), the 5th generation medium measure region meteorologic model (MM5,
The 5th-generation Mesoscale Regional Weather Model) etc. meteorological relevant software.But it is this kind of soft
Part is too simple to the description of urban morphology, not careful enough for the underlying surface description in built environment, can not fine earth's surface
Up to the actual conditions of wind environment near the ground.
Another kind of method for numerical simulation is using fluid Simulation (CFD, Computational Fluid
Dynamics) software, but the applicable range scale very little of this kind of software, are usually no more than 1 square kilometre, and calculating cycle pole
Long, high performance graphics work station is generally also required to calculate for more than ten days one as a result, not having practical operation value.
In addition GIS-Geographic Information System (GIS, Geographic Information System or Geo- are based on there are also a kind of
Information system) simplified calculation method, convert grid model for urban morphology first, then according to each grid
Cost grid map is converted to by grid model to the barrier effect of wind, it is logical to obtain city by the method that water channel principium calculates
Wind porch road.This method is easy to operate, but is limited by water channel principium algorithm itself, needs that starting point and end artificially is arranged
Point cannot reflect the natural essence of air flowing very well, and the ventilation gallery being calculated excessively is concentrated, and cannot effectively be reflected
The influence that different wind direction and wind velocities divulge information to city.
Summary of the invention
The object of the present invention is to provide a kind of method and systems using water flow simulation Urban Natural ventilation potentiality, can be fast
Speed simulation obtains the Natural Ventilation Potential in city, the influence that effecting reaction difference wind direction and wind velocity divulges information to city.
To achieve the above object, the present invention provides following schemes:
A method of using water flow simulation Urban Natural ventilation potentiality, comprising:
Obtain topographic map, satellite mapping, aspect graph and the leading wind pressure diagram in city；
The grid of the grid map of the topographic map, the grid map of the aspect graph and the leading wind pressure diagram is determined respectively
Figure；
To geographical terrain height value, urban morphology height value and the wind in the correspondence grid of three grid maps of acquisition
Pressure value carries out accumulative summation respectively, obtains the underlying surface digital elevation model in city；
According to the underlying surface digital elevation model in the city of foundation, hydrological analysis is carried out, network of rivers model is established；It is described
Network of rivers model is the ventilation gallery distributed model in city；
The ventilation gallery distributed model in the city is added on the satellite mapping in the city, determines the naturally logical of city
Wind potentiality.
Optionally, the grid map of the aspect graph is determined, comprising:
Obtain machine learning model；The machine learning model is using the satellite mapping in city as input, in setting range
Local climate block plan be output training after machine learning model；
Acquire the satellite mapping in city；
Satellite mapping collected is input in the machine learning model, the local climate subregion in setting range is obtained
Figure；
It is row with the pixel in the local climate block plan, is column with the pixel property, establishes the first formfile；
The pixel property includes line number, the columns, the affiliated hexadecimal values of color that pixel is in the local climate block plan
The building average height value of local climate divisional type is in pixel；
It is X-coordinate a little with the line number in first formfile, is that Y is sat with the columns in first formfile
Mark take the building average height value as the attribute of the point, establishes the first dot file；
By each o'clock in first dot file as a grid, the building average height value answered with each pair of point is
Attribute establishes the first grid map；First grid map is the grid map of the aspect graph.
Optionally, before the acquisition machine learning model, further includes:
Acquire training sample；The training sample is the satellite mapping in city；
According to training sample collected, the local climate divisional type of satellite mapping is set；
According to training sample collected and set local climate divisional type, machine learning model is instructed
Practice.
Optionally, the grid map of the leading wind pressure diagram is determined, comprising:
Increase by a column wind pressure value in first formfile, forms the second formfile；
With in second formfile line number and columns be X-coordinate and Y-coordinate a little, be described with the wind pressure value
The attribute of point, establishes the second dot file；
By each o'clock in second dot file as a grid, with the wind pressure in second formfile
Value is attribute, establishes the second grid map；Second grid map is the grid map of the leading wind pressure diagram.
A kind of system using water flow simulation Urban Natural ventilation potentiality, comprising:
Module is obtained, for obtaining topographic map, satellite mapping, aspect graph and the leading wind pressure diagram in city；
Determining module, for determining the grid map of the grid map of the topographic map, the aspect graph and described leading respectively
The grid map of wind pressure diagram；
Underlying surface digital elevation model establishes module, for the ground in the correspondence grid of three grid maps to acquisition
Reason landform altitude value, urban morphology height value and wind pressure value carry out accumulative summation respectively and obtain the underlying surface digital elevation mould in city
Type；
Network of rivers model obtains module, for the underlying surface digital elevation model according to the city of foundation, carries out the hydrology
Analysis, establishes network of rivers model；The network of rivers model is the ventilation gallery distributed model in city；
Natural Ventilation Potential determining module, for the ventilation gallery distributed model in the city to be added to the city
On satellite mapping, the Natural Ventilation Potential in city is determined.
Optionally, the system also includes:
Machine learning model obtains module, for being input with the satellite mapping in city, with the local climate in setting range
Block plan is the machine learning model after the training of output；
Acquisition module, for acquiring the satellite mapping in city；
Local climate block plan obtains module, for satellite mapping collected to be input in the machine learning model,
Obtain the local climate block plan in setting range；
First formfile establishes module, for being row with the pixel in the local climate block plan, with the pixel
Attribute is column, establishes the first formfile；The pixel property includes that pixel is in the line number of the local climate block plan, column
Number, the affiliated hexadecimal values of color and pixel are in the building average height value of local climate divisional type；
First dot file establishes module, for in first formfile line number and columns be X-coordinate and Y a little
Coordinate take the building average height value as the attribute of the point, establishes the first dot file；
First grid map establishes module, for by each o'clock in first dot file as a grid, with each
The corresponding building average height value of point is attribute, establishes the first grid map；First grid map is the grid of the aspect graph
Trrellis diagram.
Optionally, the system can also include:
Local climate divisional type setting module, for setting satellite mapping according to acquisition module training sample collected
Local climate divisional type；
Machine learning model training module, for according to training sample collected and set local climate subregion class
Type is trained machine learning model.
Optionally, the system can further include:
Second formfile establishes module, for increasing by a column wind pressure value in first formfile, forms second
Formfile；
Second dot file establishes module, for in second formfile line number and columns be X-coordinate and Y a little
Coordinate take the wind pressure value as the attribute of the point, establishes the second dot file；
Second grid map establishes module, for by each o'clock in second dot file as a grid, with described
The wind pressure value in second formfile is attribute, establishes the second grid map；Second grid map is the prevailing wind
Press the grid map of figure.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: use provided by the invention
The method and system of water flow simulation Urban Natural ventilation potentiality, by obtaining this three of topographic map, satellite mapping and aspect graph respectively
Grid map, geographical terrain height value in grid, urban morphology height value and wind pressure value difference are corresponded to using three grid maps
Accumulative summation is carried out, the underlying surface digital elevation model in city is obtained.Further according to the underlying surface digital elevation model in city, carry out
Hydrological analysis obtains network of rivers model, and then obtains the ventilation gallery distributed model in city.Finally ventilation gallery distributed model is folded
It is added on the corresponding satellite mapping in city, it will be able to which Fast simulation obtains the Natural Ventilation Potential in city, effectively to reflect different wind
The influence divulged information to wind speed to city.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is flow chart of the embodiment of the present invention using water flow simulation Urban Natural ventilation potentiality method；
Fig. 2 is structural schematic diagram of the embodiment of the present invention using water flow simulation Urban Natural ventilation potentiality system.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The object of the present invention is to provide a kind of method and systems using water flow simulation Urban Natural ventilation potentiality, can be fast
Speed simulation obtains the Natural Ventilation Potential in city, the influence that effecting reaction difference wind direction and wind velocity divulges information to city.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
Fig. 1 is flow chart of the embodiment of the present invention using the method for water flow simulation Urban Natural ventilation potentiality, such as Fig. 1 institute
Show, a method of using water flow simulation Urban Natural ventilation potentiality, comprising:
S1, topographic map, satellite mapping, aspect graph and the leading wind pressure diagram for obtaining city；
S2, the grid map for determining the topographic map respectively, the grid map of the aspect graph and the leading wind pressure diagram grid
Trrellis diagram；
S3, the geographical terrain height value in the correspondence grid of three grid maps of acquisition, urban morphology height value
It carries out accumulative summation respectively with wind pressure value, obtains the underlying surface digital elevation model in city；Obtained underlying surface digital elevation
The numerical value of each grid is the sum of geographical terrain height value, urban morphology height value and wind pressure value three in model.
S4, the underlying surface digital elevation model according to the city of foundation, carry out hydrological analysis, establish network of rivers model；
The network of rivers model is the ventilation gallery distributed model in city；Wherein, hydrological analysis is in GIS software for underlying surface number
A kind of analytical technology of comparative maturity of elevation model, data that concrete operations are flowed to including floating depression, generation, generation is converged,
Confluence data uniformization etc..
S5, the ventilation gallery distributed model in the city is added on the satellite mapping in the city, determines oneself of city
So ventilation potentiality.Wherein, the position for having the network of rivers to be distributed is exactly the ventilation gallery under the cardinal wind of setting and wind conditions, from
It so divulges information all right；The position for not having the network of rivers to be distributed just is a lack of the region of gravity-flow ventilation, is easy to cause accumulation of pollutants, sky
The problems such as gas is dirty.
In the step S1, city is obtained by " geographical spatial data cloud " website (http://www.gscloud.cn/)
City's topographic map.Specifically, the high number of passes of GDEMDEM 30m resolution digital in website selection " DEM digital elevation data "
According to according to Urban Data needed for the selection of the longitude and latitude range of analyst coverage, downloading includes the topographic map of analyst coverage.Then sharp
Topographic map is cut as needed with the clipping function in GIS software and obtains the topographic map in required analysis city.
In the step S2, determines the grid map of the aspect graph, specifically includes:
Training sample is acquired, specifically, an analyst coverage is arranged in the Google Earth (Google Earth), then root
According to 17 class local climate divisional types of local climate subregion, each local climate divisional type in analyst coverage is distinguished
The acquisition of sample is trained using the method for drawing polygon.All there is similar ground to cover between the sample collected
Lid, building height, site coverage and construction material etc..Downloading includes the Landsat8 satellite mapping of analyst coverage, spatial discrimination
Rate is 30m, which can pass through website https: //earthexplorer.usgs.gov/ downloading is set first in downloading
Determine search condition, directly can select search range in the map upper ledge of network address homepage, input analyst coverage location can also be passed through
City name obtains search range.
According to training sample collected, the local climate divisional type of satellite mapping is set, specifically, selection Landsat
L8 OLI/TIS data in Archive, and cloud coverage rate is set less than 10%；Date needed for finally being selected in search result
Satellite mapping.It should be noted that in selection it is ensured that selected satellite mapping completely includes analyst coverage.
According to training sample collected and set local climate divisional type, machine learning model is instructed
Practice, comprising:
Obtain machine learning model；The machine learning model is using the satellite mapping in city as input, in setting range
Local climate block plan be output training after machine learning model；
Acquire the satellite mapping in city；
Satellite mapping collected is input in the machine learning model, the local climate subregion in setting range is obtained
Figure；Specifically, carrying out class to satellite mapping based on the principle of machine learning by SAGA GIS software using collected satellite mapping
Type identification, SAGA GIS software will cut 8 satellite mapping of Landsat according to analyst coverage set in step S1,
Before ultimately generating local climate block plan, sizing grid, that is, office can be arranged in operator in SAGA GIS according to their needs
The resolution ratio of ground weather block plan, the present invention select 200m as the local climate subregion of spatial resolution generation analyst coverage
Figure, each pixel represent the range of 200m × 200m in city, every one kind one specific color table of local climate subregion
Show.
The local climate block plan of generation is converted to the of csv format by the conversion program write again with python language
One formfile, every a line of first formfile represent a pixel in local climate block plan, and each column represent should
One generic attribute of pixel.Pixel shares four generic attributes in the present invention, is that the pixel is in the local climate block plan respectively
Line number, the building average height of columns, the local climate subregion graph type belonging to the affiliated hexadecimal values of color and pixel
Value.
The first dot file is converted by GIS software by the first obtained formfile.Specifically: with the first formfile
In line number and columns built as the X-coordinate and Y-coordinate at the first dot file midpoint using average height value as the attribute of the point
Vertical first dot file.
And then first is converted by point all in the first dot file to the transformation function of grid by the point of GIS software
Grid map.A grid is converted by each point is corresponding, and using the average height value of the point as the attribute value of the grid,
Obtain the first grid map.First grid map is exactly the grid map of the aspect graph in city.
And for the wind environment of city, the dominant direction of town particular season is different, the ventilation in city
Situation also can occur to change accordingly according to the variation of cardinal wind.However water flow in basin perimeter always from topography eminence
It is flowed to topography lower, if in the absence of stress, due to lacking active force without directionality, can not reflect master
The effect of air guiding.When specific Urban Natural ventilation potentiality are analyzed in the hydrological analysis using GIS, need basis should
The cardinal wind and wind speed in city generate leading wind pressure diagram, carry out equivalent leading wind action with this.Therefore, in the step S2 really
Surely the grid map of leading wind pressure diagram, specifically includes:
According to cardinal wind orientation, program is write using python language, is increased in obtained first formfile
One column wind pressure data forms the second formfile.Wherein, wind direction is most descended in the increased wind pressure data of institute, minimum value 0, expression
Position, and as the direction that wind comes is gradually increased, until most upwind position is maximum value.The size of the difference of maxima and minima
It is set according to the wind speed size of required analysis, wind speed is bigger, and maximum value is bigger, and wind speed is smaller, and maximum value is smaller.
It is X-coordinate a little with the line number in second formfile, is that Y is sat with the columns in second formfile
Mark take the wind pressure value as the attribute of the point, establishes the second dot file；By each o'clock in second dot file as one
A grid establishes the second grid map using the wind pressure value in second formfile as attribute；Second grid map is
For the grid map of the leading wind pressure diagram.
Furthermore the invention also discloses a kind of systems using water flow simulation Urban Natural ventilation potentiality.As shown in Fig. 2, institute
Disclosed system includes:
Module 1 is obtained, for obtaining topographic map, satellite mapping, aspect graph and the leading wind pressure diagram in city；
Determining module 2, for determining the grid map of the grid map of the topographic map, the aspect graph and described leading respectively
The grid map of wind pressure diagram；
Underlying surface digital elevation model establishes module 3, in the correspondence grid for three grid maps to acquisition
Geographical terrain height value, urban morphology height value and wind pressure value carry out accumulative summation respectively and obtain the underlying surface digital elevation in city
Model；
Network of rivers model obtains module 4, for the underlying surface digital elevation model according to the city of foundation, carries out the hydrology
Analysis, establishes network of rivers model；The network of rivers model is the ventilation gallery distributed model in city；
Natural Ventilation Potential determining module 5, for the ventilation gallery distributed model in the city to be added to the city
Satellite mapping on, determine the Natural Ventilation Potential in city.
For the optimization of system, the system also includes:
Machine learning model obtains module, for being input with the satellite mapping in city, with the local climate in setting range
Block plan is the machine learning model after the training of output；
Acquisition module, for acquiring the satellite mapping in city；
Local climate block plan obtains module, for satellite mapping collected to be input in the machine learning model,
Obtain the local climate block plan in setting range；
It is row with the pixel in the local climate block plan, is column with the pixel property, establishes the first formfile；
The pixel property include line number in the local climate block plan where pixel, columns, the affiliated hexadecimal values of color and
The building average height value of local climate divisional type where pixel；
It is X-coordinate a little with the line number in first formfile, is that Y is sat with the columns in first formfile
Mark take the building average height value as the attribute of the point, establishes the first dot file；
First grid map establishes module, for by each o'clock in first dot file as a grid, with each
The corresponding building average height value of point is attribute, establishes the first grid map；First grid map is the grid of the aspect graph
Trrellis diagram.
The system can also include:
Local climate divisional type setting module, for setting satellite mapping according to acquisition module training sample collected
Local climate divisional type；
Machine learning model training module, for according to training sample collected and set local climate subregion class
Type is trained machine learning model.
The system can further include:
Second formfile establishes module, for increasing by a column wind pressure value in first formfile, forms second
Formfile；
Second dot file establishes module, for in second formfile line number and columns be X-coordinate and Y a little
Coordinate take the wind pressure value as the attribute of the point, establishes the second dot file；
Second grid map establishes module, for by each o'clock in second dot file as a grid, with described
The wind pressure value in second formfile is attribute, establishes the second grid map；Second grid map is the prevailing wind
Press the grid map of figure.
Method and system provided by the invention using water flow simulation Urban Natural ventilation potentiality, by obtaining landform respectively
Figure, satellite mapping and aspect graph this three grid map, using geographical terrain height value, the urban morphology height in three grid maps
Value and wind pressure value carry out accumulative summation, obtain the underlying surface digital elevation model in city.It is high further according to the underlying surface number in city
Journey model analyzes the hydrology in city, obtains the network of rivers model in city, and then obtains the ventilation gallery distributed mode in city
Type.Finally ventilation gallery distributed model is added in the corresponding satellite mapping in city, it will be able to which Fast simulation obtains oneself of city
So ventilation potentiality, the influence divulged information with effecting reaction difference wind direction and wind velocity to city.
Also, it in the method and system provided by the present invention using water flow simulation Urban Natural ventilation potentiality, is based on
The similitude of water flow and air-flow, in the way of substituting aerodynamic simulations in the way of hydrological simulation, to city ventilation potentiality
Carry out sunykatuib analysis.And when constructing city underlying surface digital elevation model model, comprehensively considered Urban Natural topographical elevation difference,
The difference of urban morphology difference and city cardinal wind wind speed.Office especially is utilized during considering urban morphology difference
Ground Study on Climate Division principle and city of the world's database and access portal tools, so that using water flow simulation Urban Natural ventilation potentiality
More quickly and efficiently, and there is good timeliness.
Furthermore a kind of method and system using water flow simulation Urban Natural ventilation potentiality provided by the present invention, relative to
It is also had the advantage that for the prior art
1, the present invention has comprehensively considered Urban Natural topographical elevation difference and city to the building of city underlying surface digital elevation model
City's morphological differences, the analogy methods such as compare WRF, MM5 are more accurate to the description of urban morphology, can preferably reflect
The truth of city wind environment near the ground.
2, the present invention is based on the similitudes of water flow and air-flow, substitute aerodynamic simulations in the way of hydrological simulation
Mode, it is more more efficient than CFD analoglike method, and can computer capacity it is wider.
3, the hydrological simulation method that the present invention uses considers more fully the morphological differences of entire city scope.And other
The water channel principium method used in algorithm only can reflect several paths of cost minimization, and be beyond expression out other regions
Ventilation difference condition.
4, the present invention can comprehensively consider the influence that wind direction and wind speed divulge information to city.And the minimum used in other algorithms
Cost path method is only capable of reflection wind direction, and the difference for the wind speed that is beyond expression out.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (8)
1. a kind of method using water flow simulation Urban Natural ventilation potentiality characterized by comprising
Obtain topographic map, satellite mapping, aspect graph and the leading wind pressure diagram in city；
The grid map of the grid map of the topographic map, the grid map of the aspect graph and the leading wind pressure diagram is determined respectively；
To geographical terrain height value, urban morphology height value and the wind pressure value in the correspondence grid of three grid maps of acquisition
Accumulative summation is carried out respectively, obtains the underlying surface digital elevation model in city；
According to the underlying surface digital elevation model in the city of foundation, hydrological analysis is carried out, network of rivers model is established；The network of rivers
Model is the ventilation gallery distributed model in city；
The ventilation gallery distributed model in the city is added on the satellite mapping in the city, determines that the gravity-flow ventilation in city is latent
Power.
2. a kind of method using water flow simulation Urban Natural ventilation potentiality according to claim 1, which is characterized in that really
The grid map of the fixed aspect graph, comprising:
Obtain machine learning model；The machine learning model is using the satellite mapping in city as input, with the office in setting range
Ground weather block plan is the machine learning model after the training of output；
Acquire the satellite mapping in city；
Satellite mapping collected is input in the machine learning model, the local climate block plan in setting range is obtained；
It is row with the pixel in the local climate block plan, is column with the pixel property, establishes the first formfile；It is described
Pixel property includes line number, columns, the affiliated hexadecimal values of color and the picture that pixel is in the local climate block plan
Element is in the building average height value of local climate divisional type；
It is X-coordinate a little with the line number in first formfile, using the columns in first formfile as Y-coordinate,
Take the building average height value as the attribute of the point, establishes the first dot file；
It is category with the building average height value that each pair of point is answered by each o'clock in first dot file as a grid
Property, establish the first grid map；First grid map is the grid map of the aspect graph.
3. a kind of method using water flow simulation Urban Natural ventilation potentiality according to claim 2, which is characterized in that institute
It states before obtaining machine learning model, further includes:
Acquire training sample；The training sample is the satellite mapping in city；
According to training sample collected, the local climate divisional type of satellite mapping is set；
According to training sample collected and set local climate divisional type, machine learning model is trained.
4. a kind of method using water flow simulation Urban Natural ventilation potentiality according to claim 2, which is characterized in that obtain
Take the grid map of the leading wind pressure diagram, comprising:
Increase by a column wind pressure value in first formfile, forms the second formfile；
With in second formfile line number and columns be X-coordinate and Y-coordinate a little, be the point with the wind pressure value
Attribute establishes the second dot file；
By each o'clock in second dot file as a grid, it is with the wind pressure value in second formfile
Attribute establishes the second grid map；Second grid map is the grid map of the leading wind pressure diagram.
5. a kind of system using water flow simulation Urban Natural ventilation potentiality characterized by comprising
Module is obtained, for obtaining topographic map, satellite mapping, aspect graph and the leading wind pressure diagram in city；
Determining module, for determining the grid map of the topographic map, the grid map and the leading wind pressure of the aspect graph respectively
The grid map of figure；
Underlying surface digital elevation model establishes module, in the correspondence grid of three grid maps to acquisition geographically
Shape height value, urban morphology height value and wind pressure value carry out accumulative summation respectively and obtain the underlying surface digital elevation model in city；
Network of rivers model obtains module, for the underlying surface digital elevation model according to the city of foundation, carries out hydrological analysis,
Establish network of rivers model；The network of rivers model is the ventilation gallery distributed model in city；
Natural Ventilation Potential determining module, for the ventilation gallery distributed model in the city to be added to the satellite in the city
On figure, the Natural Ventilation Potential in city is determined.
6. a kind of method using water flow simulation Urban Natural ventilation potentiality according to claim 5, which is characterized in that institute
State system further include:
Machine learning model obtains module, for being input with the satellite mapping in city, with the local climate subregion in setting range
Figure is the machine learning model after the training of output；
Acquisition module, for acquiring the satellite mapping in city；
Local climate block plan obtains module, for satellite mapping collected to be input in the machine learning model, obtains
Local climate block plan in setting range；
It is row with the pixel in the local climate block plan, is column with the pixel property, establishes the first formfile；It is described
Pixel property includes line number, columns, the affiliated hexadecimal values of color and the picture that pixel is in the local climate block plan
Element is in the building average height value of local climate divisional type；
It is X-coordinate a little with the line number in first formfile, using the columns in first formfile as Y-coordinate,
Take the building average height value as the attribute of the point, establishes the first dot file；
First grid map establishes module, for by each o'clock in first dot file as a grid, with each pair of point
The building average height value answered is attribute, establishes the first grid map；First grid map is the grid map of the aspect graph.
7. a kind of method using water flow simulation Urban Natural ventilation potentiality according to claim 6, which is characterized in that institute
State system further include:
Local climate divisional type setting module, for setting the office of satellite mapping according to acquisition module training sample collected
Ground weather divisional type；
Machine learning model training module, for according to training sample collected and set local climate divisional type,
Machine learning model is trained.
8. a kind of method using water flow simulation Urban Natural ventilation potentiality according to claim 6, which is characterized in that institute
State system further include:
Second formfile establishes module, for increasing by a column wind pressure value in first formfile, forms the second list
File；
Second dot file establishes module, for in second formfile line number and columns be that X-coordinate a little and Y are sat
Mark take the wind pressure value as the attribute of the point, establishes the second dot file；
Second grid map establishes module, for by each o'clock in second dot file as a grid, with described second
The wind pressure value in formfile is attribute, establishes the second grid map；Second grid map is the leading wind pressure diagram
Grid map.
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