CN110210112A - Couple the urban heat land effect Scene Simulation method of land use planning - Google Patents
Couple the urban heat land effect Scene Simulation method of land use planning Download PDFInfo
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Abstract
The invention discloses a kind of urban heat land effect Scene Simulation methods for coupling land use planning, include the following steps: 1, land use transformation model of the building based on cellular Automation Model and Monte Carlo method；2, the land use under every class land use planning scene is carried out using the land use transformation model based on cellular Automation Model and Monte Carlo method to simulate；3, land use simulation is carried out under every kind of land use planning scene, then by the calculating of urban heat land effect intensity and classification, the quantitative relationship between the land use pattern under every kind of land use planning scene and Heat Island grade is further determined using multiple linear regression analysis method；4, the distribution situation of urban heat land effect is determined according to the quantitative relationship between the land use pattern and Heat Island grade under every kind of land use planning scene.The present invention is the rational deployment of urban land resource and configuration is provided fundamental basis and scientific reference value.
Description
Technical field
The present invention relates to earth science and technology fields, in particular to a kind of urban heat land effect for coupling land use planning
Scene Simulation method.
Background technique
Since 20 middle of century, urbanization has become one of most important mankind's activity.Extensive people in the countryside to
City pours in the windy and sandy soil/use pattern for not only changing city underlying surface, but also urban green space is changed into impervious surface
Process frequently can lead to disruption of ecological balance between urban and rural areas, while interfering flow of ambient air and air, water balance, and then raw to city
State environment causes strong influence.Wherein, urban heat land effect (Urban Heat Island, UHI) is exactly one kind along with city
The typical urban climatic phenomenon of cityization development and generation, is presented as the temperature of inner city much higher than suburb.And as quick city
Most directly embodying in city's process, the variation of land use pattern are not only reflection earth's surface and change most significant landscape mark,
It is also the key areas of global climate change study.Therefore, quantifying between urban heat land effect and land use change survey is probed into
Relationship, and the result based on different land use planning Scene Simulation probes into the variation characteristic of tropical island effect simulation, it is intended to it is more objective
Influence between excavation the two of sight facilitates the relevant policies measure for proposing to alleviate urban heat island, may cause for reply complete
Ball climate change, Optimizing City ecological environment etc. provide scientific basis.
Many scholars at home and abroad have carried out largely the coupled relation between urban heat land effect and land use change survey
It explores.Meanwhile with the development of satellite remote sensing technology, the relevant technologies and method of geoscience are widely used in coupling soil
In urban heat land effect research of the ground using variation, and there is time synchronization by the remote sensing observations data that remote sensing obtains
Property good, wide coverage the characteristics of, therefore more and more scholars start to carry out urban heat land effect with remote sensing technology
Research work.Aslan and Koc-San (2016) is explored using Landsat 7ETM+ and Landsat 8OLI remotely-sensed data
Antalya city, Turkey 2001 and the quantitative relation and differentiation between land use pattern and urban heat land effect in 2014 are advised
Rule.Li et al. people (2014) utilizes high-resolution satellite image analysis Shanghai City, China surface temperature and five kinds of land use patterns
Between (new house, In-Situ HPGe γ Spectrometry, villa, industrial land and mechanism land used) and two kinds of windy and sandy soil types (vegetation and impervious surface)
Quantitative relationship.Zhang Yang etc. (2018) analyzes Jing-jin-ji region according to MODIS surface temperature product and Landsat TM image data
Relationship between group of cities city-level cities Heat Island and land use.Many scholars are confirmed by Theoretical and Experimental Study to be defended
Star remote sensing technology, especially Landsat series data collection are for the coupling between research urban heat land effect and land use change survey
Conjunction relationship plays a significant role.
The development of comprehensive domestic and international present Research and current city heat island related discipline field, it is found that with research
Deepen continuously, and scientific and technical method is constantly brought forth new ideas, the research of urban heat land effect via " phenomenal level " gradually
It is advanced to " mechanism level ", i.e., investigates each element of earth's surface since being changed into the presence or absence for simply exploring city hot island phenomenon
Inner link between temperature phenomenon.The main performance of coupled relation research between urban heat land effect and land use planning
Qualitatively to be analyzed using different technical method and means tropical island effect, and the model for lacking more quantification comes more
Numerical relation between the two is characterized well, and is lacked through the analog result of land use under different planning scenes and carried out
The Analyses on Scenario Simulations of tropical island effect, it is therefore desirable to introduce new method and model.
Summary of the invention
Present invention aim to provide a kind of urban heat land effect Scene Simulation method for coupling land use planning,
The present invention establishes the land use transformation model based on CA-Monte Carlo, for the simulation of land use change survey and pre-
It surveys.Meanwhile by converting " land use pattern " and " Heat Island grade " both abstract physical features to specifically
Numerical value, and numerical relation between the two is analyzed by statistical analysis technique with carrying out quantification.On this basis, according to different rule
The analog result for drawing land use under scene carries out Scene Simulation and the exploration of urban heat land effect, to be urban land resource
Rational deployment and configuration is provided fundamental basis and scientific reference value.
A kind of urban heat land effect Scene Simulation method coupling land use planning according to the present invention, feature exist
In it includes the following steps:
Step 1: in conjunction with cellular Automation Model and Monte Carlo method, building is based on cellular Automation Model and Meng Teka
The land use transformation model of Luo Fangfa；
Step 2: the land use for studying area is divided by N by remote sensing image pretreatment and land use supervised classification
Then class carries out every class land use using the land use transformation model based on cellular Automation Model and Monte Carlo method
Plan the land use simulation under scene；
Step 3: land use simulation is carried out under every kind of land use planning scene, it is then strong by urban heat land effect
The calculating and classification of degree further determine the land use under every kind of land use planning scene using multiple linear regression analysis method
Quantitative relationship between type and Heat Island grade；
Step 4: according to determining between the land use pattern and Heat Island grade under every kind of land use planning scene
Magnitude relation determines the distribution situation of urban heat land effect.
Compared with prior art, the invention has the following advantages:
(1) city underlying surface variation as influence urban heat land effect most critical one of factor, the present invention pass through by
" land use pattern " and " Heat Island grade " both abstract physical features are converted into specific numerical model, establish
Mapping relations coding schedule between the two, it is determined that quantifying between city underlying surface land use pattern and urban heat land effect
Relationship；
(2) combine the practical socio-economic development status in city, provided with different land use planning scenes, in quantity and
Influence of the land use pattern for urban heat island has synthetically been measured in spatial variations, is land use change survey and tropical island effect
Internal relation research provide new thinking.Meanwhile the result of tropical island effect Scene Simulation is also the conjunction of urban land use
Reason planning and layout provide scientific basis and reference value.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is that different land use plans research area's urban heat land effect strength simulation image under scene.
In Fig. 2, (a), (b), (c) respectively correspond the analog image under scene I, II and III.
Specific embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail:
A kind of urban heat land effect Scene Simulation method for coupling land use planning that the present invention designs, as shown in Figure 1,
It includes the following steps:
Step 1: in conjunction with cellular automata (CA) model and Monte Carlo (Monte Carlo) method, building is based on cellular
The land use transformation model of automaton model and Monte Carlo method；
Step 2: the land use for studying area is divided by N by remote sensing image pretreatment and land use supervised classification
Then class carries out every class land use using the land use transformation model based on cellular Automation Model and Monte Carlo method
Plan the land use simulation under scene；
Step 3: land use simulation is carried out under every kind of land use planning scene, it is then strong by urban heat land effect
The calculating and classification of degree further determine the land use under every kind of land use planning scene using multiple linear regression analysis method
Quantitative relationship between type and Heat Island grade；
Step 4: according to determining between the land use pattern and Heat Island grade under every kind of land use planning scene
Magnitude relation determines the distribution situation of urban heat land effect.
In the step 2 of above-mentioned technical proposal, area will be studied by remote sensing image pretreatment and land use supervised classification
Land use be divided into N class method particularly includes:
Data acquisition and pretreatment, remote sensing image data needed for obtaining research, are carried out using ArcGIS and ENVI software
Atmospheric correction, projective transformation, image registration and cutting, geometric correction processing, the support vector machines being then based in supervised classification
Remote sensing image is divided into water body, construction land, five class of forest land, arable land and unused land by classification, obtains research area's urban land
Using classification chart, which is used to combine MODIS temperature record to extract all kinds of land-use styles on the basis of land use pattern
Surface temperature similarly located in advance using MODIS surface temperature data of the ArcGIS software to the different year of acquisition
Reason, and the superposition of MODIS image studies area's administrative division polar plot to obtain the surface temperature image of different times by treated.
In the step 3 of above-mentioned technical proposal, calculate urban heat island strength and be classified method particularly includes: from urban heat island imitate
The angle that should be defined is set out, and is represented using the average surface temperature (LST, Land Surface Temperature) in suburb entire
The be averaged method of surface temperature of survey region, in combination with land use classes image, is calculated with obtaining the difference of outskirts of a town temperature
Then the average surface temperature of every class land use pattern out characterizes heat island effect according to the difference of city and suburb surface temperature
The intensity answered.
Heat Island calculation formula are as follows:
In formula: UHIER indicates urban heat island strength；TiFor the temperature of i-th of pixel, TaverageFor suburb mean temperature, Δ
T is the temperature T of i-th of pixeliWith suburb mean temperature TaverageDifference.
According to calculated urban heat island strength and the actual conditions in binding area, Heat Island is classified, point
For five kinds of Lutao, weaker heat island, moderate heat island, Strong Urban Heat Island, extremely strong heat island ranks, wherein UHIER≤0 is Lutao (temperature pole
Low area indicates that the outskirts of a town temperature difference is atomic weak), 0 UHIER≤0.1 < is weaker heat island (low-temperature space, indicate outskirts of a town temperature difference very little), 0.1
UHIER≤0.2 < is moderate heat island (middle warm area indicates that there is certain temperature difference in outskirts of a town), and 0.2 UHIER≤0.3 < is Strong Urban Heat Island
(high-temperature region indicates that the outskirts of a town temperature difference is very big), 0.3 < UHIER are extremely strong heat island (high warm area indicates that the outskirts of a town temperature difference is extremely strong strong).
In above-mentioned technical proposal, the building is converted based on the land use of cellular Automation Model and Monte Carlo method
Model method particularly includes: solve what cellular automata encountered in simulation process of land use change with Monte Carlo method
Uncertain problem, to carry out land use planning Scene Simulation and the analysis in research area；
One complete cellular Automation Model, most basic unit are as follows: cellular, cellular space, rule, neighborhood and
Time, in mathematical model, the cellular automata of a standard can be indicated are as follows:
A=(Ld, S, N, f)
In formula, A represents a complete cellular automata system；LdIndicate cellular space, d is to indicate cellular automata sky
Between dimension positive integer；S is then the set of one group of finite discrete state in cellular；N indicates all neighborhoods (including center cellular)
The combination of interior cellular, i.e. a space vector comprising n different cellular states, f are transformation rule function；
Other than cellular automata, needing another method for constructing model is Monte Carlo method, Monte Carlo
Method is also referred to as stochastic simulation method or statistics curvaturev, it is a kind of theoretical with statistical sampling, approximation solution mathematics or physics
Monte Carlo method is applied to the transformation rule of cellular Automation Model and contiguous range selects by the approximation technique of problem
In, the land use transformation model based on cellular Automation Model and Monte Carlo method is established, research area is further realized
The sunykatuib analysis and prediction of land use change survey make to simulate to achieve the effect that more preferable simulation entirety land use change survey
As a result there is higher precision；
Cellular Automation Model at this time can be expressed as form:
St+1=f (St, Nt)
Wherein: S is the state of cellular, and f is transformation rule function, and N indicates contiguous range；T is interative computation time, t+1
When cellular state depend on t moment cellular nearby sphere state.
In the step 3 of above-mentioned technical proposal, determined under every kind of land use planning scene using multiple linear regression analysis method
Land use pattern and Heat Island grade between quantitative relationship method particularly includes: by by land use pattern and city
Tropical island effect both abstract physical features in city's are converted into specific numerical value, establish mapping relations coding between the two
Table, and quantify quantitative relation between the two by statistical analysis technique；For the urban heat island effect for coupling land use planning
Answer Scene Simulation based theoretical.It is specific as follows:
Based on land use classes data and Heat Island ranked data, in order to seek land use change survey as influence
The factor is how to influence the development of tropical island effect, " land use pattern " this element can be regarded to independent variable X as, then five kinds of soil
Ground use pattern is respectively five variable x in corresponding X1—x5." Heat Island grade " then can be regarded as dependent variable Y simultaneously,
Five different heat island grades are five variable y in Y1—y5.It can be with after being calculated in ArcGIS software by map algebra
The coding schedule of 25 kinds of different " land use pattern-Heat Island grade " corresponding relationships is obtained, as shown in table 1.
Table 1 " land use pattern-Heat Island grade " mapping relations coding schedule
The corresponding relationship of 25 kinds " land use pattern-Heat Island grade ", i.e. 25 groups of numerical value can be counted by table 1.
Pass through the various analysis such as multiple linear regression analysis, stepwise regression analysis, exponential regression analysis in statistical analysis technique
Be further analyzed, obtain be most suitable for description variable X and Y correlativity regression model, thus quantification measure " soil
Quantitative relation between use pattern " and " Heat Island grade ".
A kind of urban heat land effect Scene Simulation method for coupling land use planning that the present invention designs is with Wuhan City
Survey region, it specifically comprises the following steps:
1. data acquisition and pretreatment:
Obtain the Landsat-5TM remote sensing image for studying Wuhan City, area (July 25) in 2005 and (July 29) in 2015
Landsat-8OLI TIRS remote sensing image, spatial resolution is 30m × 30m；MODIS earth's surface temperature between 2005-2015
Spend data set (MODLT1F: the Chinese monthly generated data collection of 1km surface temperature), time interval be 3 months (for 2005,
Have chosen on January 1st, 2005, April 1,1 four month of July 1 and October MODIS data represent four seasons
Surface temperature feature, remaining time is similarly).In addition, also obtain Wuhan City's administrative division polar plot (scale bar 1:1,000,
000) for being combined with remote sensing images to obtain land use classes data and Wuhan City's statistical yearbook, Hubei Province's statistics year
The auxiliary informations such as mirror.
Data handling procedure including the use of ArcGIS and ENVI software to the Wuhan City Landsat-5TM of acquisition and
Landsat-8OLI remote sensing image carries out the image procossings such as atmospheric correction, projective transformation, image registration and cutting, geometric correction,
Two phase remote sensing images are divided into water body, construction land, forest land, arable land by the support vector cassification method being then based in supervised classification
With five class of unused land, research area's urban land use classification chart is obtained, which is used on the basis of land use pattern
The surface temperature LST of all kinds of land-use styles is extracted in conjunction with MODIS temperature record.Similarly, using ArcGIS software to acquisition
The MODIS surface temperature data of different year are pre-processed, and MODIS image is superimposed Wuhan City's administrative division by treated
Polar plot is strong for subsequent further calculating Wuhan City's tropical island effect to obtain Wuhan City's surface temperature image of different times
Spend grade.
2. calculating urban heat island strength and being classified:
The angle defined from urban heat land effect, the present invention in using suburb average surface temperature LST represent it is whole
A survey region is averaged the method for surface temperature, to obtain the difference of outskirts of a town temperature.In combination with land use classes image, meter
The average surface temperature of every class land use pattern is calculated, heat island is then characterized according to the difference of city and suburb surface temperature
The intensity of effect.The Heat Island UHIER value in research area can be calculated according to formula (1), and is classified and is marked according to the heat island of table 1
Standard carries out the classification of Heat Island.In this example, the urban heat island area of Wuhan City, area is studied known to classification results (table 2)
Substantially in incremental trend, in addition to slightly declining in 2009.Compared with 2005, the heat island area in city in 2015 increases
As many as twice, show that studying area is undergoing stronger tropical island effect, this also with 21 century at the beginning of since Wuhan City it is fast-developing
Urbanization process it is related.
2 urban heat island strength classification results of table
3. establishing the land use transformation model based on CA-Monte Carlo:
Step 3 according to the present invention establishes the land use transformation model based on CA-Monte Carlo, after classification
Image carry out resampling after, respectively obtain research 2005, the 2010 and 2015 land use classes grating images in area,
Wherein 2005 and 2010 images are used to simulate land use classes image in 2015 as basic image, and with 2015
The real image in year, which compares, carrys out testing model precision.
Model evaluation is that can whether testing model accurate and continue the committed step of simulation and forecast, main in this example
The accuracy of the CA-Monte Carlo model is evaluated in terms of land used quantity and image space positions two.Evaluation model it is defeated
Enter Wuhan City's land use classes image that data are 2005 and 2010, while using land use transformation rule as limitation
Into model, simulation obtains land use classes analog image in 2015 for condition entry.By soil in 2015 in ArcGIS software
Ground is compared and analyzed using analog image and real image, and the spatial position accuracy for calculating prediction model is 84.96%.
In addition, the pixel number of each land use pattern in two images is counted, the simulation of construction land known to calculated result (table 3)
Accuracy minimum 87.245%, and the accuracy for studying other land use pattern analog results of area nearly all reach 90% with
On.Accordingly, it can be determined that land use transformation model simulation precision with higher based on CA-Monte Carlo and preferably
Simulation effect, can satisfy the demand of the simulation of subsequent land use and prediction.
3 2015 years land use classes image simulation result accuracy statistical forms of table
| Land use pattern | Simulate pixel number | Practical pixel number | Difference | Accuracy |
| Water body | 2,227,874 | 2,108,963 | 118,911 | 94.361% |
| Forest land | 1,740,593 | 1,626,253 | 114,340 | 92.969% |
| Arable land | 4,102,040 | 4,384,827 | 282,787 | 93.551% |
| Construction land | 1,102,501 | 1,263,676 | 161,175 | 87.245% |
| Unused land | 143,610 | 130,927 | 12,683 | 90.312% |
4. " land use pattern-Heat Island grade " quantification statisticallys analyze:
Referring to the step 4 in the present invention, by taking Wuhan City as an example, by the pumping between land use pattern and Heat Island grade
As coefficient values, it is expressed as 25 kinds of one-to-one mapping relations coding schedules, i.e. 25 groups of numerical value.Then five kinds of land use pattern
Respectively correspond five variable x in independent variable X (land use pattern)1-x5, the heat island grade of five varying strengths is because becoming
Measure five variable y in Y (urban heat island grade)1—y5.By statistical analysis technique, find between independent variable X and dependent variable Y
Mathematical relationship, can measure to quantification correlativity between the two.Statistical result in this example is as shown in table 4.
Table 4 " land use pattern-Heat Island grade " corresponding relationship quantity statistics table (unit: pixel)
Note: the statistic processes of all types of pixel numbers carries out in ArcGIS software in table
For 25 groups of data in table 4, using multiple linear regression analysis, the successive Regression point in statistical analysis technique
The various analysis such as analysis and exponential regression analysis have carried out the correlation analysis between independent variable X and dependent variable Y, to look for
It is most suitable for the regression model of description variable X and Y correlativity out.Input data and statistical methods are carried out in SPSS software
Analysis and measurement, the results showed that the simulation precision highest of multiple linear regression model in this experiment, and passed through parameter t inspection
It tests and model F is examined, obtain the linear relationship between land use change survey (X) and urban heat land effect (Y) are as follows:
Y=2095.626+1.001x1+1.051x2+1.017x3+1.035x4
It can be found that construction land (variable x from formula2) influence for urban heat land effect is maximum, influence because
Son is 1.051, and water body (variable x1) influence for tropical island effect is most faint, impact factor is only 1.001.This conclusion with
Possessed actual conditions in Wuhan City's Development of China's Urbanization between city underlying surface and tropical island effect are consistent.Meanwhile passing through
Numeralization quantitative analysis is carried out to the corresponding relationship of " land use pattern-Heat Island grade ", in addition to measuring therebetween
Except quantitative relation, model base also is provided to couple the urban heat land effect Analyses on Scenario Simulations of land use planning in next step
Plinth.
5. coupling urban heat land effect Scene Simulation and the forecast analysis of land use planning:
(1) different land use plans the simulation and prediction of land use pattern under scene:
Scene Simulation is the driving force of comprehensive Land-Use Evaluation and different scenes, then passes through rule constraint and soil point
Match, generates different land use scheme and plan for land scene." Wuhan City's overall plan for land use is combined in this example
(2006~the year two thousand twenty) " (hereinafter referred to as " planning "), according to what is proposed in " planning " to all kinds of land use patterns in Wuhan City
Strategic objective and requirement, and with reference to the actual conditions of Wuhan City's land utilization space layout, provided with three kinds of different soil benefits
With plan constraint scene, according to 2010, Present land-use map picture in 2015 and in conjunction with CA-Monte Carlo model come
The distribution situation of the year two thousand twenty Wuhan City land use under these three scenes of simulation and forecast.Three kinds of plan for land scenes are respectively as follows:
Scene I: assuming that following land use change survey continues existing mode, i.e., the variation speed of various land use patterns
Degree continues to keep the pace of change between 2005-2015 constant, i.e. " normal development " type.
Scene II: referring to the target of " the control construction land " that proposes in " planning ", that is, the year two thousand twenty, whole city's construction land are arrived
Total amount expection reaches 185000 hectares (account for about whole city's land use gross area 21.64%).Since the year two thousand twenty is built under this target
If land used accounting is higher than the ratio (18.53%) of construction land under normal development in scene I, therefore it is " high for defining such scene
Speed development " type.
Scene III: referring to the target of " the protecting farmland " proposed in " planning ", that is, the year two thousand twenty is arrived, it should be ensured that the whole city is protected in arable land
The amount of having must not be lower than 338000 hectares (account for about whole city's land use area 39.53%), and defining such scene is that " arable land is protected
Shield " type.
Under three kinds of land use planning scenes, simulation and forecast is carried out by CA-Monte Carlo model, obtains three kinds
The prediction result of the land use classes of the year two thousand twenty Wuhan City is as illustrated in tables 5-7 under scene.
5 scene I of table is lower the year two thousand twenty Wuhan City land use classes prediction result (unit: pixel)
6 scene II of table is lower the year two thousand twenty Wuhan City land use classes prediction result (unit: pixel)
7 scene III of table is lower the year two thousand twenty Wuhan City land use classes prediction result (unit: pixel)
Under three kinds of plan for land scenes it can be seen from above-mentioned prediction result, the year two thousand twenty Wuhan City water body, arable land, forest land
And unused land accounting has different degrees of reduction, and construction land area then dramatically increases.As can be seen from the table, feelings
Under scape I, construction land increases relatively slow (6.16%), the not up to strategic objective in " planning "；Under scene II, plough when the year two thousand twenty
" arable land red line " of the ground ownership already below this city；And under scene III, construction land growth rate (8.08%) more adjunction
The target proposed in closely " planning ", cultivated area also do not cross " red line ", are a kind of shapes for meeting planning control and stable development
State.
In conclusion simulation by carrying out land use under three kinds of set in this example plan for land scenes and
Forecast analysis, it is believed that obtained land use classes prediction result is the most reasonable under scene III.Due to different use
Spatial structure of land-use and layout under ground planning scene can cause different influences to urban heat land effect, so needing
Urban heat island simulation and forecast and the analysis of coupling land use planning are carried out under different scenes.
(2) the urban heat land effect Scene Simulation of land use planning is coupled:
For three kinds of land use planning scenes proposed in this example, binding area 2005,2010 and
Urban heat island strength ranked data in 2015, according between " land use pattern-Heat Island grade " established in step 4
Quantitative relationship, and combine the analogue data of land use type structure under three kinds of scenes, come with CA-MonteCarlo model
Simulate the urban heat land effect intensity and distribution situation that area's the year two thousand twenty is studied under three kinds of scenes, it will be appreciated that various land use classes
How quantitatively type is the distribution and development with influence tropical island effect on spatial position.Statistical result is simulated referring to table 8, simulation
Result images are as shown in Fig. 2.
The year two thousand twenty Wuhan Urban tropical island effect prediction of strength result (unit: pixel) under 8 three kinds of scenes of table
From in prediction result it can be found that under three kinds of different land use planning scenes, urban heat land effect simulation
Result also have certain difference.By table 5-7 it is found that compared with 2015, the amplification of the year two thousand twenty construction land ratio is respectively
6.16%, 9.17% and 8.08%.And the data of table 8 are shown, the analog result of Strong Urban Heat Island area proportion under these three scenes
Respectively 12.11%, 13.57% and 13.00%.It is possible thereby to find, the aggravation of urban heat land effect and the increasing of construction land
Width is in apparent positive correlation, and the increase of construction land will lead to being further exacerbated by and spreading for urban heat land effect always,
It is in simultaneously significant negative correlation with the reduction in arable land, and it is weaker with the correlation of other land-use styles variation.In conjunction with soil benefit
With the analog result of planning, from the perspective of urban heat land effect, scene III is to be best suitable for City Ecological Environment Sustainable hair
The planning scene of exhibition, the result of the Scene Simulation can be the sky of the reasonable disposition of Wuhan City's land resource, land use structure
Between be laid out and urban planning and construction provide certain reference frame.
According to the urban heat land effect Analyses on Scenario Simulations of coupling land use planning as a result, obtaining recognizing as follows: being directed to
Area is studied, urbanization is the main reason for influencing urban heat land effect or even potential global warming.Town site is to warm
Island effect has significant facilitation, and the influence of water body and urban green space to heat island is markedly less than construction land and does not utilize
Ground.According to result of study, relevant departments can take corresponding policy making steps, effectively plan and manage land use to alleviate
Urban heat land effect.For example, should limit continuing growing for construction land when urbanization process is too fast, rationally and effectively plan
Using existing construction land area, protect farmland conscientiously and ecological land.Land Use Decision department can be reasonable by formulating
Land Use Decision, focus on ecological environmental protection, the appropriate area for increasing urban green space promotes holding for urban land resource
It is continuous to utilize and development.
The content that this specification is not described in detail belongs to the prior art well known to professional and technical personnel in the field.
Claims (7)
1. a kind of urban heat land effect Scene Simulation method for coupling land use planning, which is characterized in that it includes following step
It is rapid:
Step 1: in conjunction with cellular Automation Model and Monte Carlo method, building is based on cellular Automation Model and Monte Carlo side
The land use transformation model of method；
Step 2: the land use for studying area being divided by N class by remote sensing image pretreatment and land use supervised classification, so
Every class land use planning is carried out using the land use transformation model based on cellular Automation Model and Monte Carlo method afterwards
Land use simulation under scene；
Step 3: carrying out land use simulation under every kind of land use planning scene, then pass through urban heat land effect intensity
It calculates and is classified, the land use pattern under every kind of land use planning scene is further determined using multiple linear regression analysis method
With the quantitative relationship between Heat Island grade；
Step 4: according to the quantitative pass between the land use pattern and Heat Island grade under every kind of land use planning scene
It is the distribution situation for determining urban heat land effect.
2. the urban heat land effect Scene Simulation method of coupling land use planning according to claim 1, feature exist
In:
In the step 2, the land use for studying area is divided by N by remote sensing image pretreatment and land use supervised classification
Class method particularly includes:
Data acquisition and pretreatment, remote sensing image data needed for obtaining research carry out atmosphere using ArcGIS and ENVI software
Correction, projective transformation, image registration and cutting, geometric correction processing, the support vector cassification being then based in supervised classification
Remote sensing image is divided into water body, construction land, five class of forest land, arable land and unused land by method, obtains research area's urban land use
Classification chart, the image on the basis of land use pattern for combining MODIS temperature record to extract the ground of all kinds of land-use styles
Table temperature is similarly pre-processed using MODIS surface temperature data of the ArcGIS software to the different year of acquisition, and
By treated, the superposition of MODIS image studies area's administrative division polar plot to obtain the surface temperature image of different times.
3. the urban heat land effect Scene Simulation method of coupling land use planning according to claim 1, feature exist
In: in the step 3, calculate urban heat island strength and be classified method particularly includes: the angle defined from urban heat land effect goes out
Hair is averaged the method for surface temperature, to obtain outskirts of a town temperature using the average entire survey region of earth's surface temperature representative in suburb
Difference calculates the average surface temperature of every class land use pattern, then according to city in combination with land use classes image
The difference of city and suburb surface temperature characterizes the intensity of tropical island effect.
4. the urban heat land effect Scene Simulation method of coupling land use planning according to claim 3, feature exist
In:
Heat Island calculation formula are as follows:
In formula: UHIER indicates urban heat island strength；TiFor the temperature of i-th of pixel, TaverageFor suburb mean temperature, Δ T is
The temperature T of i-th of pixeliWith suburb mean temperature TaverageDifference.
5. the urban heat land effect Scene Simulation method of coupling land use planning according to claim 4, feature exist
In: according to calculated urban heat island strength and the actual conditions in binding area, Heat Island is classified, is divided into green
Five kinds of island, weaker heat island, moderate heat island, Strong Urban Heat Island, extremely strong heat island ranks, wherein UHIER≤0, be Lutao, 0 < UHIER≤
0.1 is weaker heat island, and 0.1 UHIER≤0.2 < is moderate heat island, and 0.2 UHIER≤0.3 < is Strong Urban Heat Island, and 0.3 < UHIER is
Extremely strong heat island.
6. the urban heat land effect Scene Simulation method of coupling land use planning according to claim 1, feature exist
In: the land use transformation model of the building based on cellular Automation Model and Monte Carlo method method particularly includes: fortune
The uncertain problem that cellular automata encounters in simulation process of land use change is solved with Monte Carlo method, thus into
The land use planning Scene Simulation in row research area and analysis；
One complete cellular Automation Model, most basic unit are as follows: cellular, cellular space, rule, neighborhood are with timely
Between, in mathematical model, the cellular automata of a standard can be indicated are as follows:
A=(Ld, S, N, f)
In formula, A represents a complete cellular automata system；LdIndicate cellular space, d is to indicate cellular automata space dimension
Several positive integers；S is then the set of one group of finite discrete state in cellular；N indicates the combination of cellular in all neighborhoods, that is, includes
One space vector of n different cellular states, f are transformation rule function；
Other than cellular automata, needing another method for constructing model is Monte Carlo method, Monte Carlo method
Also referred to as stochastic simulation method or statistics curvaturev, it is a kind of theoretical with statistical sampling, approximation solution mathematics or physical problem
Approximation technique, by Monte Carlo method apply to cellular Automation Model transformation rule and contiguous range selection in, build
The land use transformation model based on cellular Automation Model and Monte Carlo method has been found, research area soil benefit is further realized
Have analog result to achieve the effect that more preferable simulation entirety land use change survey with the sunykatuib analysis and prediction of variation
There is higher precision；
Cellular Automation Model at this time can be expressed as form:
St+1=f (St, Nt)
Wherein: S is the state of cellular, and f is transformation rule function, and N indicates contiguous range；T is the interative computation time, member when t+1
The state of born of the same parents depends on the state of t moment cellular nearby sphere.
7. the urban heat land effect Scene Simulation method of coupling land use planning according to claim 1, feature exist
In: in the step 3, using multiple linear regression analysis method determine land use pattern under every kind of land use planning scene with
Quantitative relationship between Heat Island grade method particularly includes: by by land use pattern and urban heat land effect both
Abstract physical features are converted into specific numerical value, establish mapping relations coding schedule between the two, and by statistical analysis
Method quantifies quantitative relation between the two.
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