CN116805249A - City pocket park carbon accounting method, device, computer equipment and medium - Google Patents
City pocket park carbon accounting method, device, computer equipment and medium Download PDFInfo
- Publication number
- CN116805249A CN116805249A CN202311077842.2A CN202311077842A CN116805249A CN 116805249 A CN116805249 A CN 116805249A CN 202311077842 A CN202311077842 A CN 202311077842A CN 116805249 A CN116805249 A CN 116805249A
- Authority
- CN
- China
- Prior art keywords
- data
- carbon
- park
- target city
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 275
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 267
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000001186 cumulative effect Effects 0.000 claims abstract description 4
- 239000002689 soil Substances 0.000 claims description 88
- 239000002028 Biomass Substances 0.000 claims description 34
- 238000013499 data model Methods 0.000 claims description 30
- 230000015654 memory Effects 0.000 claims description 26
- 238000012423 maintenance Methods 0.000 claims description 21
- 238000007726 management method Methods 0.000 claims description 21
- 238000009825 accumulation Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 19
- 238000010276 construction Methods 0.000 claims description 18
- 238000005265 energy consumption Methods 0.000 claims description 17
- 230000000694 effects Effects 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 16
- 230000008859 change Effects 0.000 claims description 9
- 238000011835 investigation Methods 0.000 claims description 9
- 239000000463 material Substances 0.000 claims description 8
- 101000872083 Danio rerio Delta-like protein C Proteins 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 3
- 241000196324 Embryophyta Species 0.000 claims 10
- 238000011161 development Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 210000000481 breast Anatomy 0.000 description 3
- 238000009430 construction management Methods 0.000 description 3
- 238000004445 quantitative analysis Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 239000012773 agricultural material Substances 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004177 carbon cycle Methods 0.000 description 1
- 239000003575 carbonaceous material Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of pocket park carbon accounting, and discloses a carbon accounting method, a device, computer equipment and a medium for an urban pocket park, wherein the method comprises the following steps: calculating annual carbon reserve variation of each pocket park of the target city, and calculating annual carbon emission generated by each pocket park of the target city based on full life cycle management; calculating the annual carbon balance of each pocket park of the target city according to the annual carbon reserve variation of each pocket park of the target city and the annual carbon emission generated by each pocket park of the target city based on the full life cycle management; and finally, calculating the total annual carbon balance of all pocket parks in the target city in a cumulative way. The invention calculates the vegetation and carbon sink of all pocket park landscape engineering in the target city and the carbon balance of the life cycle, can accurately evaluate the contribution of each pocket park in the urban carbon circulation, and provides a reference basis for realizing the double-carbon target and the sustainable development of the city.
Description
Technical Field
The invention relates to the technical field of pocket park carbon accounting, in particular to a carbon accounting method, a device, computer equipment and a medium for an urban pocket park.
Background
The urban development causes land spot blocking, and the pocket park constructed by using the spot land has the characteristics of small investment, small and exquisite distribution, flexible site selection, high utilization rate and the like. According to the statistics of the data published in recent years, the pocket parks in China are approximately 3 ten thousand, and the single area is generally 400-10000 m 2 The total area is very considerable nationally. The land utilization efficiency can be improved by carrying out scientific landscape design and material selection construction on the pocket park, and more places for leisure and recreation are provided for urban residents; the urban heat island effect is lightened, the urban microclimate is improved, the carbon emission can be reduced, the carbon sink is promoted to be increased, and the method has very important ecological benefit.
In the related art, the low-carbon concept is widely applied to garden planning, so that a park green land is often regarded as a carbon sink in the past, namely, the related art carries out quantitative analysis from the carbon fixing capability of park vegetation and the carbon storage angle of soil, but the pocket park inevitably relates to garden construction and management in the whole life cycle thereof, and then certain carbon emission is generated, so that the carbon estimation is inaccurate due to the fact that the carbon emission of the whole life cycle of the pocket park is not considered in the carbon emission mode of the pocket park based on quantitative analysis.
Disclosure of Invention
In view of the above, the present invention provides a method, apparatus, computer device and medium for calculating carbon in urban pocket park, which solves the problem that carbon estimation is not accurate enough due to the fact that the carbon emission in the whole life cycle of pocket park is not considered in the quantitative analysis of carbon emission mode in pocket park.
In a first aspect, the invention provides a method for carbon accounting in an urban pocket park, the method comprising:
acquiring area data, plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data and soil depth data of each pocket park of a target city based on the pocket park carbon accumulation data model;
calculating annual carbon reserve variation of each pocket park of the target city based on the plant carbon content data, the soil volume weight data, the soil depth data and the vegetation biomass data;
based on the pocket park carbon emission data model, acquiring energy consumption data, energy emission factor data, manual working time data, manual quantity and manual activity carbon emission factor data of each pocket park of a target city;
calculating the carbon emission amount generated by each pocket park of the target city on the basis of the full life cycle management each year based on the energy consumption amount data, the energy emission factor data, the manual work time data, the manual number and the manual activity carbon emission factor data;
calculating the annual carbon balance of each pocket park of the target city according to the annual carbon reserve variation of each pocket park of the target city and the annual carbon emission generated by each pocket park of the target city based on the full life cycle management;
the total annual carbon balance of all pocket parks of the target city is calculated cumulatively based on the area data of each pocket park of the target city and the annual carbon balance of each pocket park of the target city.
By executing the implementation mode, the carbon balance of all pocket park landscape engineering vegetation and soil carbon sink and life cycle of the target city is calculated, the contribution of each pocket park in the city carbon circulation can be accurately estimated, and a reference basis is provided for realizing the double-carbon target and city sustainable development.
In an alternative embodiment, the method further comprises: and ranking the ecological indexes of the target city and making management and maintenance measures for the target city based on the annual total carbon balance of all pocket parks of the target city.
By executing the implementation mode, the dynamic change of the carbon balance of the pocket park can be analyzed by the system, construction management and maintenance measures and suggestions can be provided accordingly, vegetation landscape configuration is optimized, and carbon balance capacity is improved.
In an alternative embodiment, the annual carbon reserve change per pocket park for the target city is calculated by the following formula:
;
wherein DeltaC s,t Carbon reserves variable quantity of t-th year of park for each pocket of target city, B i,j,t PC for the biomass of the j-th vegetation in the i-th vegetation of the t year i,j,t For the carbon content of the j-th plant in the ith vegetation of the t year, SOC i,t BD for the carbon content of the ith layer of soil in the t-th year i,t Is the volume weight of the ith layer of soil in the t th year, D i,t The soil depth of the ith layer of the t-th year;
wherein, vegetation biomass data is calculated by the following formula:
B i,j,t =f j (x1 i,j,t , x2 i,j,t , x3 i,j,t , …)×(1+R i,j );
B i,j,t biomass of the j-th vegetation in the i-th vegetation of the t-th yearf j (x1 i,j,t , x2 i,j,t , x3 i,j,t …) is a regression equation for converting the j-th plant measurement factor in the i-th vegetation of the t-th year into aboveground biomass, R i,j Is the ratio of the underground biomass to the above-ground biomass of the j-th plant in the i-th vegetation.
By executing the implementation mode, the carbon reserve variation of each pocket park in the target city in the t year is calculated based on the related data of various vegetation and soil, so that the contribution of each pocket park in the city carbon circulation can be accurately analyzed, and a reference basis is provided for realizing the double-carbon target and the city sustainable development.
In an alternative embodiment, each pocket park of the target city annually manages the amount of carbon emissions generated based on the full lifecycle, calculated by the following formula:
;
wherein GHG e,t Production, construction, transportation, use, maintenance, and disposal of materials used in the construction of the t-th landscape project of each pocket park in the target city, and M i,j,t For the energy j consumption of the ith stage of the t year, Q i,j,t Is the emission factor of the energy j in the ith stage of the T year, T is the number of man-hour days, N is the number of man-hours, C L Is an artificial active carbon emission factor.
By executing the embodiment, each pocket park of the target city can manage the generated carbon emission amount based on the whole life cycle every year, so that the contribution of each pocket park in the city carbon circulation can be further accurately analyzed, and a reference basis is provided for realizing the double-carbon target and the sustainable development of the city.
In an alternative embodiment, the annual carbon balance per pocket park for the target city is calculated by the following formula:
ΔC t = ΔC s,t −GHG e,t ;
wherein DeltaC t Carbon balance, delta C, at t year for each pocket park of the target city s,t GHG, carbon reserves change amount at t-th year of each pocket park of target city e,t The production, construction, transportation, use, maintenance and disposal of each material are used in the construction of the t-th landscape engineering of each pocket park in the target city.
By executing the implementation mode, the dynamic change of the carbon balance of each pocket park is analyzed, construction management and maintenance measures and suggestions can be provided accordingly, vegetation landscape configuration is optimized, and carbon balance capacity is improved.
In an alternative embodiment, the cumulative total carbon balance for all pocket parks in the target city is calculated by the following formula:
;
wherein, area i ΔC for the area of the ith pocket park in the target city t,i Carbon balance of the ith pocket park in the target city in the t year.
By executing the implementation mode, the annual total carbon balance of all pocket parks in the target city is calculated, accounting of vegetation and carbon sink of soil landscape engineering of all pocket parks in the target city and carbon balance of life cycle is facilitated, contribution of all pocket parks in the target city in urban carbon circulation can be accurately estimated, and reference basis is provided for realizing double-carbon targets and sustainable development of cities.
In an alternative embodiment, the pocket park carbon accounting data is performed by:
acquiring plant types, hierarchical structures, planting densities, growth data and vegetation parameters of each pocket park of the target city based on plant community investigation data and laser radar data;
acquiring soil carbon content data, soil volume weight data and soil depth data based on soil investigation data;
based on plant types, hierarchical structures, planting densities, growth data, vegetation parameters, soil carbon content data, soil volume weight data and soil depth data of each pocket park of the target city, a pocket park carbon accumulation data model is created.
By executing the implementation mode, data collection is carried out on the basis of basically not damaging landscapes, comprehensive and rich vegetation and soil information is obtained, and the export pocket park carbon accumulation data model is constructed, so that the annual carbon reserve variation of each pocket park in the target city can be further calculated.
In an alternative embodiment, the pocket park carbon emission data model is performed by:
and creating a pocket park carbon emission data model based on energy consumption data and artificial activity emission data generated by landscape construction, vegetation maintenance and park operation and maintenance.
By performing the above-described embodiments, creating a pocket park carbon emission data model facilitates further calculation of the amount of carbon emissions generated by each pocket park of the target city on a full lifecycle management basis each year.
According to a second aspect, the present embodiment provides a carbon accounting device for an urban pocket park, the device comprising:
the first data acquisition module is used for acquiring area data, plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data and soil depth data of each pocket park of the target city based on the pocket park carbon accumulation data model;
a first data calculation module for calculating annual carbon reserve variation of each pocket park of the target city based on plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data, and soil depth data;
the second data acquisition module is used for acquiring energy consumption data, energy emission factor data, manual labor hour data, manual quantity and manual activity carbon emission factor data of each pocket park of the target city based on the pocket park carbon emission data model;
a second data calculation module for calculating a carbon emission amount generated by each pocket park of the target city on the basis of the full life cycle management each year based on the energy consumption amount data, the energy emission factor data, the man-hour number and the man-activity carbon emission factor data;
a third data calculation module for calculating a carbon balance per year for each pocket park of the target city based on the carbon emission amount produced by each year of each pocket park of the target city based on the full life cycle management, according to the annual carbon reserve variation of each pocket park of the target city;
and the total carbon balance calculation module is used for calculating the total carbon balance of all pocket parks of the target city in an accumulated way based on the area data of each pocket park of the target city and the annual carbon balance of each pocket park of the target city.
According to a third aspect, the present embodiment provides a computer device comprising:
the system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, so that the carbon accounting method of the urban pocket park in the first aspect or any implementation mode of the first aspect is executed.
According to a fourth aspect, the present embodiment provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the method of carbon accounting for the urban pocket park in the first aspect or any of the embodiments of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a method of carbon accounting for an urban pocket park according to an embodiment of the invention;
FIG. 2 is a flow diagram of another method of carbon accounting for a municipal pocket park according to an embodiment of the invention;
FIG. 3 is a schematic flow diagram of a carbon accounting device for an urban pocket park according to an embodiment of the invention;
fig. 4 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
According to an embodiment of the present invention, there is provided an embodiment of a method of carbon accounting for urban pocket parks, it being noted that the steps shown in the flow chart of the figures may be performed in a computer system such as a set of computer executable instructions, and, although a logical sequence is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than that shown herein.
In this embodiment, a carbon accounting method for an urban pocket park is provided, which may be used for the above mobile terminal, such as a mobile phone, a tablet computer, etc. (the execution subject is described in connection with the actual situation), and fig. 1 is a flowchart of the carbon accounting method for an urban pocket park according to an embodiment of the invention, as shown in fig. 1, where the flowchart includes the following steps:
step S101, based on the pocket park carbon accumulation data model, area data, plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data and soil depth data of each pocket park of the target city are obtained.
Specifically, for the full life cycle of the pocket park, the evaluation mainly includes a carbon accumulation amount and a carbon emission amount, wherein the carbon accumulation amount is calculated according to a vegetation carbon amount and a soil carbon reserve amount, and for the full life cycle of the pocket park, each of the above data of each pocket park of the target city needs to be called by using a pocket park carbon accumulation data model. Specifically, vegetation type and vegetation community investigation methods (such as arbor, shrub and herbaceous vegetation can be specifically applied to plant families, genus and species information), natural information (such as weather zones, annual average temperatures, annual average precipitation and the like) of a growing area are combined, unmanned aerial vehicle-mounted laser radars are utilized to obtain information such as vegetation canopy (such as coverage, crown width and area), plant height and breast diameter and the like obtained by foundation laser radars are matched to construct vegetation three-dimensional structure information, vegetation biomass data and plant carbon content data are obtained through calculation according to height, breast diameter and crown width parameters of a single species, and soil carbon content data, soil volume weight data and soil depth data are calculated according to a soil profile organic carbon accumulation method. A pocket park carbon accumulation data model may be created from vegetation biomass data, plant carbon content data, soil volume weight data, soil depth data, and area data of each pocket park.
In some alternative embodiments, the pocket-park carbon accumulation model is performed by:
and a step a1, obtaining plant types, hierarchical structures, planting density, growth data and vegetation parameters of each pocket park of the target city based on plant community investigation data and laser radar data.
Specifically, based on plant community investigation data, plant types, hierarchical structures, planting densities, growth data and the like are obtained; the unmanned aerial vehicle is used for carrying laser radar detection, the image is identified to obtain information such as coverage, crown width and area, the foundation laser radar is matched to obtain information such as vegetation plant height and breast diameter (or a sample side is set for manual investigation), and three-dimensional structure information of vegetation is constructed to obtain vegetation parameters.
And a2, acquiring soil carbon content data, soil volume weight data and soil depth data based on soil investigation data.
Specifically, the soil carbon reserves are calculated according to a soil profile organic carbon accumulation method.
And a step a3, creating a pocket park carbon accumulation data model based on plant types, hierarchical structures, planting densities, growth data, vegetation parameters, soil carbon content data, soil volume weight data and soil depth data of each pocket park of the target city.
Plant biomass data, plant carbon content data, soil volume weight data and soil depth data are obtained through the plant type, hierarchical structure, planting density, growth data and vegetation data of each pocket park in the target city in a direct calculation or indirect conversion mode, and then a pocket park carbon accumulation data model is created.
By creating the pocket park carbon accumulation data model, data collection is carried out on the basis of basically not damaging landscapes, comprehensive and rich vegetation and soil information is obtained, and the annual carbon reserve variation of each pocket park in the target city can be calculated rapidly.
Step S102, calculating annual carbon reserve variation of each pocket park of the target city based on the plant carbon content data, the vegetation biomass data, the soil carbon content data, the soil volume weight data and the soil depth data.
In an alternative embodiment, in the step S102, the annual carbon reserve variation of each pocket park of the target city is calculated by the following formula (1):
;(1)
wherein DeltaC s,t Carbon reserves Change (kg CO) for the t-th year of each pocket park of the target city 2 g/m 2 ),B i,j,t Is the biomass (kg/m) of the j-th vegetation in the i-th vegetation of the t-th year 2 ),PC i,j,t Is the carbon content (kg/m) of the j plant in the ith plant of the t year 2 ),SOC i,t For the ith layer of soil carbon content (C g/kg) of the t-th year, BD i,t Is the soil volume weight (g/cm) of the ith layer of the t-th year 3 ),D i,t Is the depth (cm) of the ith layer of soil in the t-th year.
Specifically, in the above formula (1),is->Annual (I)>Is->The year in which the current is the current,,/>is->Carbon content of the j-th plant in the annual i-th vegetation,>,/>is->The volume weight of the soil of the ith layer of the year,,/>for the j-th vegetation biomass in the i-th vegetation of the t2 th year,,SOC i,t2 BD for the carbon content of the ith layer of soil in the t2 th year i,t Is the volume weight of the ith layer of soil in the t2 th year, D i,t2 The i-th layer soil depth is the t2 th year.
Wherein, vegetation biomass data is calculated by the following formula (2):
B i,j,t =f j (x1 i,j,t , x2 i,j,t , x3 i,j,t , …)×(1+R i,j );(2)
B i,j,t biomass of the j-th vegetation in the i-th vegetation of the t-th yearf j (x1 i,j,t , x2 i,j,t , x3 i,j,t …) is a regression equation for converting the j-th plant measurement factor in the i-th vegetation of the t-th year into aboveground biomass, R i,j Is the ratio of the underground biomass to the above-ground biomass of the j-th plant in the i-th vegetation. Substituting t1 and t2 into the above formula (2) to calculateAnd->。
And step S103, acquiring energy consumption data, energy emission factor data, manual labor hour data, manual quantity and manual activity carbon emission factor data of each pocket park of the target city based on the pocket park carbon emission data model.
Specifically, a pocket park carbon emission data model can be constructed based on electric power and fossil energy consumption generated in links and stages of vegetation maintenance and the like of landscape engineering construction, so that the carbon emission related data can be obtained.
In an alternative embodiment, the pocket park carbon emission data model is performed by:
and creating a pocket park carbon emission data model based on energy consumption data and artificial activity emission data generated by landscape construction, vegetation maintenance and park operation and maintenance.
Specifically, the pocket park carbon emission data model can be used for acquiring electric power and fossil energy consumption in activities such as using machinery, throwing agricultural materials, vegetation maintenance and the like, M i,j,t Is the energy j consumption (kg CO) of the ith stage of the t-th year 2 /m 2 ),Q i,j,t The emission factor of the energy j in the ith stage of the T year is T, the number of man-hour days (d), N is the number of man-hour, C L Is artificial active carbon emission factor (kg CO) 2 Person/d).
Step S104, calculating the carbon emission amount generated by each pocket park of the target city on the basis of the full life cycle management each year based on the energy consumption amount data, the energy emission factor data, the man-hour number and the man-made activity carbon emission factor data.
In an alternative embodiment, each pocket park of the target city annually manages the amount of carbon emissions generated based on the full lifecycle, calculated by the following formula (3):
;(3)
wherein GHG e,t Production, construction, transportation, use, maintenance, and disposal of materials used in the construction of the t-th landscape project of each pocket park in the target city, and M i,j,t For the energy j consumption of the ith stage of the t year, Q i,j,t Is the emission factor of the energy j in the ith stage of the T year, T is the number of man-hour days, N is the number of man-hours, C L Is an artificial active carbon emission factor.
Step S105, calculating the annual carbon balance of each pocket park of the target city according to the annual carbon reserve variation of each pocket park of the target city and the annual carbon emission generated by each pocket park of the target city based on the full life cycle management.
In an alternative embodiment, the annual carbon balance per pocket park for the target city is calculated by the following formula:
ΔC t = ΔC s,t −GHG e,t ;(4)
wherein DeltaC t Carbon balance (kg CO) at the t-th year of each pocket park for the target city 2 /m 2 ),ΔC s,t Carbon reserves Change (kg CO) for the t-th year of each pocket park of the target city 2 g/m 2 ),GHG e,t The production, construction, transportation, use, maintenance and disposal of each material are used in the construction of the t-th landscape engineering of each pocket park in the target city (low carbon materials or recyclable materials should be used as much as possible to reduce the emissions). If delta C t Positive values indicate that the pocket park is a carbon sink; negative values indicate that it is a carbon source.
According to the embodiment, through the step S105, the annual carbon reserve variation of each pocket park of the target city and the carbon emission generated based on full life cycle management are considered, so that the accounting of the vegetation of the landscape engineering of each pocket park of the target city and the carbon sink of the soil and the carbon balance of the life cycle is realized, the contribution of the pocket park in the urban carbon cycle can be accurately evaluated later, and a reference basis is provided for realizing the double-carbon target and the urban sustainable development.
Step S106, calculating the total annual carbon balance of all pocket parks of the target city based on the area data of each pocket park of the target city and the annual carbon balance of each pocket park of the target city.
In an alternative embodiment, the cumulative total carbon balance for all pocket parks in the target city is calculated by the following formula:
;(5)
wherein, area i Area (m) of the ith pocket park for the target city 2 ),ΔC t,i Carbon balance (kg CO) of ith pocket park in target city at t year 2 g/m 2 )。
Specifically, in combination with the area data, the total carbon balance for all pocket parks in an area or city can be weighted.
According to the embodiment, through the step S106, the carbon balance of all pocket park landscape engineering vegetation and soil carbon sink and life cycle of the target city is calculated, so that the contribution of each pocket park in the city carbon circulation can be accurately estimated, and a reference basis is provided for realizing the double-carbon target and the city sustainable development.
In this embodiment, a carbon accounting method for an urban pocket park is provided, which may be used in the above mobile terminal, such as a mobile phone, a tablet computer, etc., fig. 2 is a flowchart of a carbon accounting method for an urban pocket park according to an embodiment of the present invention, as shown in fig. 2, where the flowchart further includes the following steps on the basis of the steps S101-S106:
and step S107, ranking the ecological indexes of the target city and making management and maintenance measures for the target city based on the annual total carbon balance of all pocket parks of the target city.
Specifically, a regional data set is created, namely, the annual total carbon balance of all pocket parks in a target city is used as an index for comprehensively evaluating urban livability and urban ecological functions, and future pocket park management and maintenance measures are provided in combination with carbon balance conditions. For example: on the basis that the carbon balance of each park in the target city is known, the carbon balance conditions of different pocket parks can be compared transversely; the pocket park carbon balance data of the same target city can be combined into the data of the region, the data are collected to serve as indexes for evaluating the ecological functions of the city, the ecological livability of different cities is compared, and the cities are scored and ranked.
According to the carbon accounting method for the urban pocket park, the system analyzes the dynamic change of the carbon balance of the pocket park, and accordingly construction management and maintenance measures and suggestions can be provided, vegetation landscape configuration is optimized, and carbon sink capacity is improved. Carbon balance in a certain area (such as a certain city) on a certain time scale can be evaluated, and the carbon sink capacity of pocket parks in different areas (different cities) can be compared to be used as an index for evaluating urban ecology.
The method in the embodiment not only can provide systematic full life cycle carbon accounting for pocket parks actively laid in cities, but also can provide systematic full life cycle carbon accounting method for small leisure greenbelts, and can summarize and generalize the carbon balance of the pocket parks in the whole area and the cities.
The embodiment also provides a carbon accounting device for the urban pocket park, which is used for realizing the embodiment and the preferred implementation mode, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
This embodiment provides a carbon accounting device for urban pocket park, as shown in fig. 3, the device comprises:
the first data acquisition module 31 acquires area data, plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data, and soil depth data of each pocket park of the target city based on the pocket park carbon accumulation data model.
A first data calculation module 32 for calculating annual carbon reserve variation for each pocket park of the target city based on the plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data, and soil depth data.
And a second data acquisition module 33 for acquiring energy consumption data, energy emission factor data, man-hour data, man-hours number and man-activity carbon emission factor data of each pocket park of the target city based on the pocket park carbon emission data model.
A second data calculation module 34 for calculating an amount of carbon emissions generated by each pocket park of the target city on a full life cycle management basis each year based on the energy consumption amount data, the energy emission factor data, the man-hour number and the man-made activity carbon emission factor data.
A third data calculation module 35 for calculating a carbon balance per year for each pocket park of the target city based on the carbon emission amount produced by the full life cycle management per year for each pocket park of the target city and the carbon reserve per year for each pocket park of the target city.
A total carbon balance calculation module 36 for calculating cumulatively a total carbon balance of all pocket parks of the target city each year based on the area data of each pocket park of the target city and the annual carbon balance of each pocket park of the target city.
The city carbon management module 37 is configured to rank the ecological indexes of the target city and make management measures for the target city based on the annual total carbon balance of all pocket parks of the target city.
In an alternative embodiment, the first data calculation module 32 calculates by equation (1) above
Each pocket park of the target city changes the annual carbon reserves.
In an alternative embodiment, the second data calculation module 34 calculates the amount of carbon emissions generated by each pocket park of the target city on a full lifecycle management basis each year through equation (3) above.
In an alternative embodiment, the third data calculation module 35 calculates the annual carbon balance for each pocket park of the target city by equation (4) above.
In an alternative embodiment, total carbon balance calculation module 36 calculates the total annual carbon balance for all pocket parks in the target city cumulatively via equation (5) above.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The carbon accounting means of the urban pocket park in this embodiment is presented in the form of functional units, here referred to as ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above described functionality.
The embodiment of the invention also provides computer equipment, which is provided with the carbon accounting device of the urban pocket park shown in the figure 4.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 4, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 4.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the methods shown in implementing the above embodiments.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (11)
1. A method of carbon accounting for an urban pocket park, the method comprising:
acquiring area data, plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data and soil depth data of each pocket park of a target city based on the pocket park carbon accumulation data model;
calculating annual carbon reserve variation of each pocket park of a target city based on the plant carbon content data, the vegetation biomass data, the soil carbon content data, the soil volume weight data, and the soil depth data;
based on the pocket park carbon emission data model, acquiring energy consumption data, energy emission factor data, manual working time data, manual quantity and manual activity carbon emission factor data of each pocket park of a target city;
calculating a carbon emission amount generated by each pocket park of a target city on a full life cycle management basis each year based on the energy consumption amount data, the energy emission factor data, the man-hour data, the man-hours and the man-hours, and the artificial activity carbon emission factor data;
calculating the annual carbon balance of each pocket park of the target city according to the annual carbon reserve variation of each pocket park of the target city and the annual carbon emission generated by each pocket park of the target city based on full life cycle management;
the total annual carbon balance of all pocket parks of the target city is calculated cumulatively based on the area data of each pocket park of the target city and the annual carbon balance of each pocket park of the target city.
2. The method as recited in claim 1, further comprising:
and ranking the ecological indexes of the target city and making management and maintenance measures for the target city based on the annual total carbon balance of all pocket parks of the target city.
3. The method of claim 1, wherein the annual carbon reserve change for each pocket park of the target city is calculated by the formula:
;
wherein DeltaC s,t Carbon reserves variable quantity of t-th year of park for each pocket of target city, B i,j,t PC for the biomass of the j-th vegetation in the i-th vegetation of the t year i,j,t For the carbon content of the j-th plant in the ith vegetation of the t year, SOC i,t BD for the carbon content of the ith layer of soil in the t-th year i,t Is the volume weight of the ith layer of soil in the t th year, D i,t The soil depth of the ith layer of the t-th year;
wherein, the vegetation biomass data is calculated by the following formula:
B i,j,t = f j (x1 i,j,t , x2 i,j,t , x3 i,j,t , …)×(1+R i,j );
B i,j,t biomass of the j-th vegetation in the i-th vegetation of the t-th yearf j (x1 i,j,t , x2 i,j,t , x3 i,j,t …) is a regression equation for converting the j-th plant measurement factor in the i-th vegetation of the t-th year into aboveground biomass, R i,j Is the underground of the j plant in the i plantRatio of biomass to aboveground biomass.
4. The method of claim 1, wherein each pocket park of the target city annually manages the amount of carbon emissions generated based on a full lifecycle, calculated by the formula:
;
wherein GHG e,t Production, construction, transportation, use, maintenance, and disposal of materials used in the construction of the t-th landscape project of each pocket park in the target city, and M i,j,t For the energy j consumption of the ith stage of the t year, Q i,j,t Is the emission factor of the energy j in the ith stage of the T year, T is the number of man-hour days, N is the number of man-hours, C L Is an artificial active carbon emission factor.
5. The method of claim 1, wherein the annual carbon balance of each pocket park of the target city is calculated by the formula:
ΔC t = ΔC s,t −GHG e,t ;
wherein DeltaC t Carbon balance, delta C, at t year for each pocket park of the target city s,t GHG, carbon reserves change amount at t-th year of each pocket park of target city e,t The production, construction, transportation, use, maintenance and disposal of each material are used in the construction of the t-th landscape engineering of each pocket park in the target city.
6. The method of claim 1, wherein the cumulative total carbon balance for all pocket parks in the target city is calculated by the formula:
;
wherein, area i ΔC for the area of the ith pocket park in the target city t,i Carbon balance of the ith pocket park in the target city in the t year.
7. The method of claim 1, wherein the pocket-park carbon accumulation data model is performed by:
acquiring plant types, hierarchical structures, planting densities, growth data and vegetation parameters of each pocket park of the target city based on plant community investigation data and laser radar data;
acquiring soil carbon content data, soil volume weight data and soil depth data based on soil investigation data;
creating the pocket-park carbon accumulation data model based on the plant species, the hierarchical structure, the planting density, the growth data, the vegetation parameters, the soil carbon content data, the soil volume weight data, the soil depth data of each pocket-park of the target city.
8. The method of claim 1, wherein the pocket-park carbon emission data model is performed by:
and creating the pocket park carbon emission data model based on energy consumption data and artificial activity emission data generated by landscape construction, vegetation maintenance and park operation and maintenance.
9. A carbon accounting device for an urban pocket park, the device comprising:
the first data acquisition module is used for acquiring area data, plant carbon content data, vegetation biomass data, soil carbon content data, soil volume weight data and soil depth data of each pocket park of the target city based on the pocket park carbon accumulation data model;
a first data calculation module for calculating annual carbon reserve variation of each pocket park of a target city based on the plant carbon content data, the vegetation biomass data, the soil carbon content data, the soil volume weight data, and the soil depth data;
the second data acquisition module is used for acquiring energy consumption data, energy emission factor data, manual labor hour data, manual quantity and manual activity carbon emission factor data of each pocket park of the target city based on the pocket park carbon emission data model;
a second data calculation module for calculating a carbon emission amount generated by each pocket park of a target city on the basis of the energy consumption amount data, the energy emission factor data, the man-hour number and the artificial activated carbon emission factor data each year on the basis of full life cycle management;
a third data calculation module for calculating a carbon balance per year for each pocket park of the target city from a carbon reserve variation per year for each pocket park of the target city and a carbon emission amount per year generated for each pocket park of the target city based on full lifecycle management;
and the total carbon balance calculation module is used for calculating the total carbon balance of all pocket parks of the target city in an accumulated way based on the area data of each pocket park of the target city and the annual carbon balance of each pocket park of the target city.
10. A computer device, comprising:
a memory and a processor in communication with each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of carbon accounting for a urban pocket park of any one of claims 1 to 8.
11. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method of carbon accounting for an urban pocket park of any one of claims 1 to 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311077842.2A CN116805249A (en) | 2023-08-25 | 2023-08-25 | City pocket park carbon accounting method, device, computer equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311077842.2A CN116805249A (en) | 2023-08-25 | 2023-08-25 | City pocket park carbon accounting method, device, computer equipment and medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116805249A true CN116805249A (en) | 2023-09-26 |
Family
ID=88079773
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311077842.2A Pending CN116805249A (en) | 2023-08-25 | 2023-08-25 | City pocket park carbon accounting method, device, computer equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116805249A (en) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112182476A (en) * | 2019-07-01 | 2021-01-05 | 苏州五蕴明泰科技有限公司 | Method for accounting biomass carbon reserve variation of woody biomass |
CN114626686A (en) * | 2022-02-21 | 2022-06-14 | 广州地铁集团有限公司 | Track traffic station carbon emission performance accounting method and system |
CN114971371A (en) * | 2022-06-16 | 2022-08-30 | 中山大学 | Urban rail transit infrastructure full life cycle carbon emission dynamic analysis method |
CN115187142A (en) * | 2022-09-06 | 2022-10-14 | 北京林业大学 | Method and device for estimating carbon footprint of garden green land |
US20220374912A1 (en) * | 2021-05-16 | 2022-11-24 | Ning Zeng | Method and system for wood harvest and storage, carbon sequestration and carbon management |
CN116205325A (en) * | 2022-10-13 | 2023-06-02 | 国网吉林省电力有限公司白城供电公司 | City-oriented carbon dioxide emission accounting and optimizing method |
US20230214849A1 (en) * | 2021-12-31 | 2023-07-06 | Richard L Taylor | Landscape Carbon Calculator |
CN116523115A (en) * | 2023-04-10 | 2023-08-01 | 贵州电网有限责任公司 | Low-carbon park carbon management and control method and system based on carbon accounting intelligent tracking |
CN116579642A (en) * | 2023-03-30 | 2023-08-11 | 深圳市蕾奥规划设计咨询股份有限公司 | Full-period carbon evaluation method for urban updating project |
-
2023
- 2023-08-25 CN CN202311077842.2A patent/CN116805249A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112182476A (en) * | 2019-07-01 | 2021-01-05 | 苏州五蕴明泰科技有限公司 | Method for accounting biomass carbon reserve variation of woody biomass |
US20220374912A1 (en) * | 2021-05-16 | 2022-11-24 | Ning Zeng | Method and system for wood harvest and storage, carbon sequestration and carbon management |
US20230214849A1 (en) * | 2021-12-31 | 2023-07-06 | Richard L Taylor | Landscape Carbon Calculator |
CN114626686A (en) * | 2022-02-21 | 2022-06-14 | 广州地铁集团有限公司 | Track traffic station carbon emission performance accounting method and system |
CN114971371A (en) * | 2022-06-16 | 2022-08-30 | 中山大学 | Urban rail transit infrastructure full life cycle carbon emission dynamic analysis method |
CN115187142A (en) * | 2022-09-06 | 2022-10-14 | 北京林业大学 | Method and device for estimating carbon footprint of garden green land |
CN116205325A (en) * | 2022-10-13 | 2023-06-02 | 国网吉林省电力有限公司白城供电公司 | City-oriented carbon dioxide emission accounting and optimizing method |
CN116579642A (en) * | 2023-03-30 | 2023-08-11 | 深圳市蕾奥规划设计咨询股份有限公司 | Full-period carbon evaluation method for urban updating project |
CN116523115A (en) * | 2023-04-10 | 2023-08-01 | 贵州电网有限责任公司 | Low-carbon park carbon management and control method and system based on carbon accounting intelligent tracking |
Non-Patent Citations (3)
Title |
---|
何华: "华南居住区绿地碳汇作用研究及其在全生命周期碳收支评价中的应用", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》, no. 12, pages 027 - 12 * |
阴世超: "建筑全生命周期碳排放核算分析", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》, no. 4, pages 038 - 2 * |
黄柳菁 等: "城市绿地的碳足迹核算和评估――以广州市为例", 林业资源管理, no. 02, pages 65 - 73 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Guaita-Pradas et al. | Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases | |
Specht et al. | Risks in urban rooftop agriculture: Assessing stakeholders’ perceptions to ensure efficient policymaking | |
Ali et al. | Exercising multidisciplinary approach to assess interrelationship between energy use, carbon emission and land use change in a metropolitan city of Pakistan | |
Shi et al. | Using spatial information technologies to select sites for biomass power plants: A case study in Guangdong Province, China | |
Wood et al. | Spatial aspects of the design and targeting of agricultural development strategies | |
Zhong et al. | Impact of state-led food localization on suburban districts’ farmland use transformation: Greenhouse farming expansion in Nanjing city region, China | |
KR102002548B1 (en) | Farming type photovoltaic generation forecasting system and method for forecasting power generation amount and profitability using thereof | |
Roggema | Design with voids: how inverted urbanism can increase urban resilience | |
Recanatesi et al. | Multi criteria analysis to evaluate the best location of plants for renewable energy by forest biomass: a case study in Central Italy | |
CN116805249A (en) | City pocket park carbon accounting method, device, computer equipment and medium | |
Yorozu et al. | The effect on river discharge estimation by considering an interaction between land surface process and river routing process | |
Wu et al. | An innovative method for offshore wind farm site selection based on the interval number with probability distribution | |
KR101040246B1 (en) | modeling methodology of GIS based integrated water quality modeling system for river and coastal area | |
Meena et al. | Information and Communication Technologies for Sustainable Natural Resource Management | |
CN105488346A (en) | Spatial prediction analogy method of large-scale land cover change | |
Contractor et al. | Decision support and planning tool to facilitate urban rooftop farming | |
CN110991083B (en) | Photovoltaic power station model determining method, device, equipment and storage medium | |
CN117217424B (en) | Construction method and device of theoretical power generation capacity rapid evaluation system of offshore wind farm | |
Slootweg et al. | Identifying the geographical potential of rooftop systems: Space competition and synergy | |
Mishra | Modeling water quantity and quality in an agricultural watershed in the midwestern US using SWAT: assessing implications due to an expansion in'biofuel'production and climate change | |
Zhang | Assessment of renewable energy potentials based on GIS and RS: A case study in China | |
Memduhoğlu | Identifying impervious surfaces for rainwater harvesting feasibility using unmanned aerial vehicle imagery and machine learning classification | |
Wang et al. | A GIS-embedded system for land consolidation project location: Spatial optimization and fuzzy evaluation | |
Ahamed et al. | Assessment of energy status for irrigation technology in Bangladesh: A GIS approach | |
Chou et al. | A BIM-Enabled Design Method for Green Plantation on Building Sites |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |