CN114049052B - Carbon emission calculation method and visualization method in certain administrative region - Google Patents

Carbon emission calculation method and visualization method in certain administrative region Download PDF

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CN114049052B
CN114049052B CN202210029153.3A CN202210029153A CN114049052B CN 114049052 B CN114049052 B CN 114049052B CN 202210029153 A CN202210029153 A CN 202210029153A CN 114049052 B CN114049052 B CN 114049052B
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田启明
徐炜达
李梦南
徐彬仁
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Beijing Yingshi Ruida Technology Co ltd
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Abstract

The invention relates to a carbon emission calculation method and a visualization method in a certain administrative region, which are used for solving the problem that the existing carbon emission estimation method cannot realize regional push-down. The invention provides a carbon emission calculation method, which comprises the following steps: the method comprises the following steps: calculating the carbon emission of fossil energy in an upper administrative region of the administrative region
Figure 821795DEST_PATH_IMAGE001
，
Figure 121189DEST_PATH_IMAGE002
Wherein, the fossil energy categories of the upper administrative region comprise I types, I belongs to [1, I ∈ ]]，
Figure 19744DEST_PATH_IMAGE003
For the consumption of the ith fossil energy source,
Figure 88194DEST_PATH_IMAGE004
is the standard coal conversion coefficient of the ith fossil energy,
Figure 414002DEST_PATH_IMAGE005
carbon emission coefficient for the ith fossil energy source; step two: calculating carbon emissions in the administrative area
Figure 935113DEST_PATH_IMAGE006
，
Figure 637359DEST_PATH_IMAGE007
Wherein, the energy consumption influence factor types of the upper administrative region comprise J types, J is the [1, J ∈]，
Figure 15775DEST_PATH_IMAGE008
The decomposition weight of the jth influence factor of the upper administrative region,
Figure 263217DEST_PATH_IMAGE009
and the push-down weight of the jth influence factor of the administrative region at the current level.

Description

Carbon emission calculation method and visualization method in certain administrative region
Technical Field
The invention relates to the technical field of carbon emission estimation, in particular to a carbon emission calculation method and a carbon emission visualization method in a certain administrative region.
Background
The carbon dioxide concentration in the earth's atmosphere has been maintained at 240ppm, now rising to 417ppm, and never fell back over 80 million years prior to the industrial revolution. The sharp rise of carbon dioxide content in the atmosphere causes a series of environmental problems, such as thawing of glaciers of the two poles, rise of sea level, enlargement of desert, increase of insect pests, extreme climate and the like caused by greenhouse effect, and has seriously influenced the production and life of human beings.
At present, a carbon emission coefficient list algorithm from bottom to top is mainly adopted for carbon emission estimation, the method is based on land utilization data and energy consumption data, and the carbon emission coefficient method can be used for roughly estimating annual carbon sources and carbon sinks in provinces and cities and is divided into a direct carbon emission coefficient method and an indirect carbon emission coefficient method.
The direct carbon emission coefficient method is obtained by adopting a land utilization area and a carbon emission empirical coefficient, is suitable for land utilization types with relatively fixed carbon emission or carbon absorption, and particularly relates to natural ecosystems such as woodlands, grasslands, water bodies and the like which are less interfered by artificial activities.
The indirect carbon emission coefficient method is suitable for land utilization types which are greatly influenced by artificial activities, particularly artificial earth surfaces or building land utilization types, and needs to be calculated according to actual energy consumption.
The disadvantages of the carbon emission coefficient list algorithm are as follows: the dependency on the availability of data is too high, if the data cannot be obtained completely, the calculation result of carbon emission is inaccurate, and even after the administrative units of the county, the district and the town are reached, the energy consumption or the energy balance table cannot be obtained, so that the carbon emission cannot be measured and calculated in the region, and the low-carbon measures cannot be promoted locally.
Disclosure of Invention
In view of the foregoing analysis, embodiments of the present invention are directed to providing a method for calculating and visualizing carbon emissions in a certain administrative area, so as to solve the problem that the existing carbon emission estimation method cannot implement regional push-down.
In one aspect, the present invention provides a method for calculating carbon emissions in a certain administrative area, comprising the steps of:
the method comprises the following steps: calculating the carbon emission of fossil energy in an upper administrative region of the administrative region
Figure 328603DEST_PATH_IMAGE001
，
Figure 803447DEST_PATH_IMAGE002
Wherein, the fossil energy categories of the upper administrative region comprise I types, I belongs to [1, I ]]，
Figure 487238DEST_PATH_IMAGE003
For the consumption of the ith fossil energy source,
Figure 731138DEST_PATH_IMAGE004
is the standard coal conversion coefficient of the ith fossil energy,
Figure 983127DEST_PATH_IMAGE005
carbon emission coefficient for the ith fossil energy source;
step two: calculating carbon emissions in the administrative area
Figure 679688DEST_PATH_IMAGE006
，
Figure 308115DEST_PATH_IMAGE007
Wherein, the energy consumption influence factor types of the upper administrative region comprise J types, J belongs to [1, J ∈]，
Figure 672101DEST_PATH_IMAGE008
J-th influence on higher administrative areasThe weight of the decomposition of the factor,
Figure 360571DEST_PATH_IMAGE009
and the push-down weight of the jth influence factor of the administrative region at the current level.
Further, the air conditioner is provided with a fan,
Figure 562006DEST_PATH_IMAGE010
wherein,
Figure 259703DEST_PATH_IMAGE011
for the energy consumption of the jth influence factor in the upper administrative area,
Figure 619141DEST_PATH_IMAGE012
total energy consumption for all influencing factors in the upper administrative area.
Further, the air conditioner is provided with a fan,
Figure 744091DEST_PATH_IMAGE013
wherein,
Figure 680823DEST_PATH_IMAGE014
and
Figure 651053DEST_PATH_IMAGE015
the j influence factors are respectively the energy consumption levels of the administrative region at the level and the administrative region at the level.
Further, the
Figure 989631DEST_PATH_IMAGE014
And
Figure 160849DEST_PATH_IMAGE015
respectively determined by industry GDP in the district and/or determined by the number of human mouths in the district.
Further, the influencing factor includes one or more of first industrial energy consumption, second industrial energy consumption, third industrial energy consumption, and life energy consumption.
Further, the fossil energy comprises one or more of coal, raw coal, clean coal, coke, coal gas, natural gas, liquefied petroleum gas, gasoline, kerosene, diesel oil and fuel oil.
The invention also discloses a carbon emission visualization method for a certain administrative region, which comprises the following steps:
calculating carbon emission of construction land in this administrative region
Figure 584877DEST_PATH_IMAGE016
；
Calculating carbon emission of other land utilization types except for construction land in the administrative region of the level
Figure 624377DEST_PATH_IMAGE017
；
On the map of the administrative area, carbon emission values of construction sites and other land use types are coated in different colors on the corresponding locations.
Further, the other land utilization types comprise one or more of cultivated land, grassland, woodland, wetland and water body.
Further, the administrative region includes K other land use types, K e [1, K ∈]The k-th other land use type carbon emission is
Figure 551882DEST_PATH_IMAGE017
，
Figure 18636DEST_PATH_IMAGE018
Wherein,
Figure 805326DEST_PATH_IMAGE019
for the area of the kth other land use type in the administrative area,
Figure 648517DEST_PATH_IMAGE020
carbon emission coefficient for kth other land use type.
Further, when the carbon emission is positive, a red color system color coating is selected; when the carbon emission is negative, selecting green color to coat; the greater the absolute value of the carbon emission, the darker the color.
Further, the visualization method further comprises the following steps: selecting a factory area with carbon emission exceeding a preset carbon emission as a point P in the administrative area, wherein any point in the administrative area is a point R, and the relative distance between the point R and the nearest point P is d;
the administrative region has at least one edge point with d as the maximum value dmax，[dmaxPredetermined pitch]= Z, 0 < predetermined spacing < dmax，Z＞1；
[ d/preset distance ] = z, the R point on the administrative area map is coated in the (z + 1) th preset color;
when all the preset colors are the same, the depth of each preset color is different, and the depth of the (z + 1) th preset color is lighter as the value of the (z + 1) is increased.
Compared with the prior art, the invention can realize at least one of the following beneficial effects:
(1) the invention provides a carbon emission calculation method which is quickly pushed down by a superior administrative region, the calculation precision can reach more than 70% of that of the traditional calculation method, the dependence on the availability of data is too low, and the carbon emission planning and the promotion of low-carbon measures are facilitated;
(2) as a top-down accounting method, data is easy to collect, although the accuracy of carbon emission measurement is lower than that of a traditional calculation method, the calculation process is simple and quick, and workers can conveniently and quickly acquire the carbon emission condition of the area so as to make a macroscopic carbon emission plan in the early stage;
(3) by visualizing the carbon emission estimation method, the carbon emission situation of a certain area can be known more intuitively, the spatial information of regional carbon sources/sinks is mined, the spatial structure analysis of the regional carbon sources/sinks is carried out, and the method has important value for supporting regional carbon and specifying a planning path;
(4) for calculating the carbon emission of areas with the same magnitude, the traditional nuclear algorithm is complicated and tedious in data collection, standardization, nuclear calculation and the like, and generally has poor timeliness.
In the invention, the technical schemes can be combined with each other to realize more preferable combination schemes. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention.
Fig. 1 is a carbon emission visualization map in 2019 of the cizhou region (the gray map cannot see red and green, and is simply marked by Chinese characters);
fig. 2 is a visual map weighted according to fig. 1.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and which together with the embodiments of the invention serve to explain the principles of the invention and not to limit its scope.
In the description of the embodiments of the present invention, it should be noted that, unless otherwise explicitly stated or limited, the term "connected" should be interpreted broadly, and may be, for example, a fixed connection, a detachable connection, or an integral connection, which may be a mechanical connection, an electrical connection, which may be a direct connection, or an indirect connection via an intermediate medium. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The terms "top," "bottom," "above … …," "below," and "on … …" as used throughout the description are relative positions with respect to components of the device, such as the relative positions of the top and bottom substrates inside the device. It will be appreciated that the devices are multifunctional, regardless of their orientation in space.
The general working surface of the invention can be a plane or a curved surface, can be inclined or horizontal. For convenience of explanation, the embodiments of the present invention are placed on a horizontal plane and used on the horizontal plane, and are defined as "high and low" and "up and down".
The invention discloses a carbon emission calculation method for a certain administrative region, which comprises the following steps:
the method comprises the following steps: calculating the carbon emission of fossil energy in an upper administrative region of the administrative region
Figure 430528DEST_PATH_IMAGE001
，
Figure 68183DEST_PATH_IMAGE002
Wherein, the fossil energy categories of the upper administrative region comprise I types, I belongs to [1, I ]]，
Figure 201224DEST_PATH_IMAGE003
For the consumption of the ith fossil energy source,
Figure 582527DEST_PATH_IMAGE004
is the standard coal conversion coefficient of the ith fossil energy,
Figure 625569DEST_PATH_IMAGE005
for the ith fossil energyCarbon emission coefficient of (a);
the fossil energy comprises one or more of coal, raw coal, clean coal, coke, coal gas, natural gas, liquefied petroleum gas, gasoline, kerosene, diesel oil and fuel oil.
Figure 33460DEST_PATH_IMAGE021
Is the total amount of carbon emission of all kinds of fossil energy in the upper administrative area.
Figure 794743DEST_PATH_IMAGE022
The energy consumption is from energy chapters in the statistical yearbook of the upper administrative region, and a determined numerical value can be consulted;
Figure 714157DEST_PATH_IMAGE004
the standard coal conversion coefficient of the energy can refer to the annual book of Chinese energy statistics and can be consulted to obtain a determined numerical value;
Figure 736340DEST_PATH_IMAGE005
i.e., the carbon emission coefficient of the energy source, can be referred to a certain value by referring to the national greenhouse gas list guide published by IPCC (international Panel on Climate Change committee of united nations). Table 1 is a table of standard coal conversion coefficients and carbon emission coefficients of common fossil energy, and in table 1,
Figure 450218DEST_PATH_IMAGE023
is the standard coal conversion coefficient of the energy source,
Figure 292272DEST_PATH_IMAGE024
is the carbon emission coefficient of the energy source.
TABLE 1 standard coal conversion factor and carbon emission factor for common energy
Figure 749798DEST_PATH_IMAGE025
Step two: calculating carbon emissions in the administrative area
Figure 626487DEST_PATH_IMAGE006
，
Figure 511267DEST_PATH_IMAGE026
Wherein, the energy consumption influence factor types of the upper administrative region comprise J types, J belongs to [1, J ∈]，
Figure 575038DEST_PATH_IMAGE008
The decomposition weight of the jth influence factor of the upper administrative region,
Figure 101834DEST_PATH_IMAGE009
and the push-down weight of the jth influence factor of the administrative region at the current level.
The influence factors comprise one or more of first industrial energy consumption, second industrial energy consumption, third industrial energy consumption and life energy consumption, and the types and the quantity of the influence factors mainly depend on the constitution of energy consumption in a higher administrative region.
Figure 833029DEST_PATH_IMAGE010
Wherein,
Figure 623131DEST_PATH_IMAGE011
for the energy consumption of the jth influence factor in the upper administrative area,
Figure 439777DEST_PATH_IMAGE012
total energy consumption for all influencing factors in the upper administrative area.
Figure 239106DEST_PATH_IMAGE027
、
Figure 824808DEST_PATH_IMAGE028
The system is derived from the energy source section in the statistical yearbook of the upper administrative region, and can look up a determined numerical value. By passing
Figure 316969DEST_PATH_IMAGE008
Decompose the weights, will
Figure 880632DEST_PATH_IMAGE001
Decomposing into the field of various energy consumption influence factors.
Figure 483651DEST_PATH_IMAGE013
Wherein,
Figure 189439DEST_PATH_IMAGE014
and
Figure 852502DEST_PATH_IMAGE015
the j influence factors are respectively the energy consumption levels of the administrative region at the level and the administrative region at the upper level.
Figure 784685DEST_PATH_IMAGE014
And
Figure 191396DEST_PATH_IMAGE015
the method is determined by an industry GDP in the district and/or the number of human mouths in the district. By passing
Figure 17270DEST_PATH_IMAGE009
Decompose the weights, will
Figure 851233DEST_PATH_IMAGE029
And decomposing to the administrative region of the current level.
The invention provides a regional carbon emission rapid estimation method based on multiple influence factors, which is used for calculating carbon emission of construction land in administrative regions under the condition that energy consumption data cannot be acquired.
The carbon emissions of the construction land in four areas, i.e., the hai lake area, the foggy area, the goaf ditch area and the rocky mountain area of beijing city in 2019 were calculated by the above method, specifically as follows:
the method comprises the following steps: calculating the total carbon emission of fossil energy in 2019 of Beijing City, and calculating the following table 2:
TABLE 2 carbon emission table of fossil energy from 20119 years of Beijing City
Figure 129768DEST_PATH_IMAGE030
By the formula
Figure 215536DEST_PATH_IMAGE031
The total carbon emission of fossil energy in 2019 of Beijing City, = (98.7 + 408.16 + 586.68 + 139.65 + 0.42 + 42.72 + 17.13 + 909.21) ten thousand tons is approximately equal to 2202 ten thousand tons.
Step two: the Beijing market comprises four influence factors of first industrial energy consumption, second industrial energy consumption, third industrial energy consumption and life energy consumption, and the decomposition weights of the four influence factors are calculated
Figure 630336DEST_PATH_IMAGE032
Table 3 is calculated as follows:
TABLE 3 energy consumption and decomposition weight of each influencing factor in 2019 Beijing City
Figure 900781DEST_PATH_IMAGE033
Calculating the push-down weight of four influence factors of a lake area, a Rich platform area, a gate head ditch area and a rocky landscape mountain area
Figure 666611DEST_PATH_IMAGE034
Wherein the life energy consumption is usuallyThe population of the population was determined and the table 4 was calculated as follows:
TABLE 4 influence factors in Haihu, Fengcai, Mentougou and Shijing mountain areas push down weights in 2019
Figure 415125DEST_PATH_IMAGE035
(in the table "/" indicates unpublished data in the yearbook, calculated as zero.)
The total carbon emission of fossil energy in 2019 years in Beijing City calculated according to the following table 3, table 4 and step one and calculated according to a formula
Figure 90957DEST_PATH_IMAGE036
The carbon emission of the building land in the lake area, the platform area, the gate head ditch area and the stone landscape mountain area can be calculated to be 416.79 ten thousand tons, 79.96 ten thousand tons, 21.86 ten thousand tons and 37.49 ten thousand tons respectively. The results are compared with the results calculated by the conventional accounting method of the four regions as shown in the following table 5:
TABLE 5 comparison of the results of the present method (i.e., the calculation method of the present invention) with the results of the conventional accounting method
Figure 266723DEST_PATH_IMAGE037
As can be seen from the results in Table 5, the calculation structure of the method has high reliability, and under the condition of lacking energy statistical data, the method can be used for estimating the carbon emission of the construction land of the administrative region.
The invention also discloses a carbon emission visualization method for a certain administrative region, which comprises the following steps:
calculating carbon emission of construction land in this administrative region
Figure 519850DEST_PATH_IMAGE016
；
Calculating carbon emission of other land utilization types except for construction land in the administrative region of the level
Figure 72054DEST_PATH_IMAGE017
；
On the map of the administrative area, carbon emission values of construction sites and other land use types are coated in different colors on the corresponding locations.
The construction land refers to a land having a large number of human activities, and includes a land on which a building or a structure is constructed, a land for urban and rural residences and public facilities, a land for industrial and mining, a land for infrastructure facilities such as energy, traffic, water conservancy, and communication, and the like. The other land utilization types comprise one or more of cultivated land, grassland, forest land, wetland and water body.
Carbon emission of construction land in this administrative area
Figure 461447DEST_PATH_IMAGE038
Calculated according to the carbon emission calculation method of the present invention.
The administrative region comprises K other land utilization types, K belongs to [1, K ]]The k-th other land use type carbon emission is
Figure 813974DEST_PATH_IMAGE017
，
Figure 429763DEST_PATH_IMAGE018
Wherein,
Figure 785658DEST_PATH_IMAGE019
for the area of the kth other land use type in the administrative area,
Figure 295137DEST_PATH_IMAGE020
the values for the carbon emission coefficient for the kth other land use type (which is the annual average) are detailed in table 6. The other land utilization types refer to other land types except construction land, such as cultivated land, grassland, forest land, wetland, water body and the like, and the annual carbon emission is calculated by adopting a carbon emission direct coefficient method, wherein natural ecosystems such as the forest land and the grassland are expressedThe carbon sequestration function is negative carbon excretion, and the solid carbon amount is expressed by negative value.
TABLE 6 carbon emission coefficient for common land types
Figure 812706DEST_PATH_IMAGE039
In some embodiments, a red-based color coat is selected when the carbon emissions are positive, a green-based color coat is selected when the carbon emissions are negative, and the greater the absolute value of the carbon emissions, the darker the color.
Since the carbon emission gas is diffused and is unlikely to gather in a certain area, in order to make the carbon emission map in the administrative area more valuable, the carbon emission map is weighted, and the visualization method further includes the following steps (the symbol "[ ] in this step is a rounded symbol):
selecting a factory area with carbon emission exceeding a preset carbon emission as a point P in the administrative area, wherein the carbon emission of the point P is
Figure 774846DEST_PATH_IMAGE016
Any point in the administrative area is a point R, the relative distance between the point R and the nearest point P is d, and the carbon emission at the point R is
Figure 544219DEST_PATH_IMAGE040
Wherein mu is a geographic position weight coefficient which is obtained by comparing the geographic position of the administrative region with the sum of the geographic position of the administrative region and the geographic position of the administrative region
Figure 173783DEST_PATH_IMAGE016
The correlation is an empirical coefficient and can be obtained by empirical calculation in practical application;
the administrative region has at least one edge point with d as the maximum value dmax，[dmaxPredetermined pitch]= Z, 0 < predetermined spacing < dmax，Z＞1；
[ d/preset distance ] = z, and the R point on the administrative area map is coated in the (z + 1) th preset color. Specifically, when d < the preset pitch, the R dot is coated in a first preset color; when the preset spacing is not more than d and less than 2 times the preset spacing, coating the R points with a second preset color; when the preset distance d is not less than 2 and not more than 3, the R dots are coated … … in the third preset color, and when the preset distance d is not less than (z + 1) the preset distance, the R dots are coated in the (z + 1) th preset color.
When all the preset color systems are the same, the depth of each preset color is different, and the depth of the (z + 1) th preset color is lighter along with the increase of the (z + 1) numerical value.
The different predetermined colors may also be selected from different color systems, for example, when CRWhen the color is more than or equal to 0, the corresponding coating color of the R point is a red color system, and the depth of the (z + 1) th preset color is lighter along with the increase of the (z + 1) numerical value; when C is presentRWhen the color is less than 0, the coating color corresponding to the R point is green, and the (z + 1) th preset color is deeper along with the increase of the (z + 1) numerical value.
Fig. 1 and 2 illustrate carbon emissions visualization of maps in the Tianjin Cisii area, where fig. 1 is an unweighted graph and fig. 2 is a graph after weighting.
It should be noted that the value of the preset carbon emission is manually selected, and the selected point P is a large carbon emission plant area such as a power plant, a cement plant or a concrete plant. The administrative region comprises a plurality of P points, and the more developed the industry, the more P points.
According to the visualization method, the carbon emission data is coated on the map according to the land utilization data, so that the spatial distribution of the carbon source/sink in one area is visually displayed, the accurate supervision of carbon source sink by a carbon supervision department is facilitated, the source sink boundary is defined, a corresponding planning path is formulated, the source sink structure is adjusted, and the land utilization layout is optimized.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.

Claims (6)

1. A method for calculating carbon emissions in a certain administrative area, comprising the steps of:
the method comprises the following steps: calculating the carbon emission of fossil energy in an upper administrative region of the administrative region
CSuperior level，
Figure 713970DEST_PATH_IMAGE001
Wherein, the fossil energy categories of the upper administrative region comprise I types, I belongs to [1, I ]]，miThe consumption of the ith fossil energy is from an energy chapter in a statistical yearbook of a superior administrative region; n isiThe standard coal conversion coefficient of the ith fossil energy is derived from the annual book of Chinese energy statistics; phi is aiCarbon emission coefficient for the ith fossil energy source, derived from national greenhouse gas inventory guidelines;
step two: calculating the carbon emission C in the administrative areaThis stage，
Figure 693428DEST_PATH_IMAGE002
Wherein, the energy consumption influence factor types of the upper administrative region comprise J types, J belongs to [1, J ∈]，αjWeight, β, for the decomposition of the jth influencing factor of the upper administrative domainjThe push-down weight of the jth influence factor of the administrative region at the current level; the influence factors comprise one or more of first industrial energy consumption, second industrial energy consumption, third industrial energy consumption and life energy consumption;
a is saidj = Ej/ EGeneral assemblyWherein E isjEnergy consumption of the jth influencing factor in the upper administrative region, EGeneral assemblyTotal energy consumption for all influencing factors in the upper administrative district, Ej、EGeneral assemblyEnergy chapters in the statistical yearbook from the upper administrative region;
beta is the same asj = SThis stage/ SSuperior levelWhich isIn, SThis stageAnd SSuperior levelThe energy consumption levels of the j influence factors in the administrative region and the upper administrative region respectively, SThis stageAnd SSuperior levelRespectively determined by industry GDP in the district.
2. The carbon emission calculation method of claim 1, wherein the fossil energy source comprises one or more of coal, raw coal, washed coal, coke, gas, natural gas, liquefied petroleum gas, gasoline, kerosene, diesel, and fuel oil.
3. A visualization method for carbon emission in a certain administrative area is characterized by comprising the following steps:
calculating carbon emission C of construction land in local administrative areaThis stageSaid C isThis stageThe carbon emission calculation method according to claim 1 or 2;
calculating carbon emission C of other land utilization types except for construction land in the administrative regionk；
Coating carbon emission values of construction sites and other land use types on corresponding positions in different colors on a map of the administrative area;
selecting a factory area with carbon emission exceeding a preset carbon emission point as a point P in the administrative area, wherein any point in the administrative area is a point R, the relative distance between the point R and the point P closest to the point R is d, and the carbon emission at the point R is
Figure 535482DEST_PATH_IMAGE003
Wherein μ is a geographic location weight coefficient;
the administrative region has at least one edge point with d as the maximum value dmax，[dmaxPredetermined pitch]= Z, 0 < predetermined spacing < dmax，Z＞1；
[ d/preset distance ] = z, the R point on the administrative area map is coated in the (z + 1) th preset color;
when all the preset color systems are the same, the depth of each preset color is different, and the depth of the (z + 1) th preset color is lighter along with the increase of the (z + 1) numerical value;
or, when CRWhen the color is more than or equal to 0, the corresponding coating color of the R point is a red color system, and the depth of the (z + 1) th preset color is lighter along with the increase of the (z + 1) numerical value; when C is presentRWhen the color is less than 0, the coating color corresponding to the R point is a green color system, and the depth of the (z + 1) th preset color is increased with the increase of the (z + 1) number.
4. A visualization method as claimed in claim 3, wherein said other land use types comprise one or more of cultivated land, grassland, woodland, wetland, water body.
5. Visualization method according to claim 3, characterized in that said administrative area comprises K other land use types, K e [1, K ∈]And the k-th other land use type carbon emission is Ck，
Ck= Ak×γk
Wherein,
Figure 993008DEST_PATH_IMAGE004
for the area of the kth other land use type, gamma, in this administrative areakCarbon emission coefficient for the kth other land use type.
6. A visualization method as recited in claim 3, wherein when the carbon emission is positive, a red-based color coat is selected; when the carbon emission is negative, selecting green color to coat; the greater the absolute value of the carbon emission, the darker the color.
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