CN114358995A - Regional carbon neutralization calculation method based on big data analysis - Google Patents
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 124
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 124
- 238000006386 neutralization reaction Methods 0.000 title claims abstract description 29
- 238000004364 calculation method Methods 0.000 title claims abstract description 28
- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 44
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 22
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 239000002028 Biomass Substances 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000009825 accumulation Methods 0.000 claims abstract description 7
- 238000011160 research Methods 0.000 claims abstract description 4
- 239000002023 wood Substances 0.000 claims description 10
- 235000017166 Bambusa arundinacea Nutrition 0.000 claims description 6
- 235000017491 Bambusa tulda Nutrition 0.000 claims description 6
- 235000015334 Phyllostachys viridis Nutrition 0.000 claims description 6
- 239000010807 litter Substances 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
- 241001330002 Bambuseae Species 0.000 claims description 4
- 239000011425 bamboo Substances 0.000 claims description 4
- 239000005431 greenhouse gas Substances 0.000 claims description 4
- 239000002689 soil Substances 0.000 claims description 4
- 241000196324 Embryophyta Species 0.000 claims description 3
- 241000238631 Hexapoda Species 0.000 claims description 3
- 241000607479 Yersinia pestis Species 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 3
- 230000006378 damage Effects 0.000 claims description 3
- 201000010099 disease Diseases 0.000 claims description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 3
- 238000002474 experimental method Methods 0.000 claims description 3
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- 241000894007 species Species 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 241000209128 Bambusa Species 0.000 claims description 2
- 239000004016 soil organic matter Substances 0.000 claims description 2
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 239000005416 organic matter Substances 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 3
- 235000021022 fresh fruits Nutrition 0.000 description 2
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
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Abstract
The invention discloses a regional carbon neutralization calculation method based on big data analysis, which comprises the following steps of: s1: establishing a database, and counting forest accumulation, biomass, forest carbon reserve, forest carbon sink and carbon sink, S2: establishing data of a regional carbon library, S3: setting a carbon sink metering and monitoring range, S4: accessing a data source for carbon reserve calculation support, S5: statistics of coverage of forest carbon reserves, S6: statistics of research data on carbon sinks by the prototype survey method, S7: detecting the concentration of carbon dioxide and recording the data thereof, S8: carbon neutralization calculations were performed. According to the regional carbon neutralization calculation method based on big data analysis, the forest resource data are thoroughly checked and the data are recorded, so that the obtained data can be clearer when the carbon neutralization is calculated, and the analysis and comparison of the previous or subsequent carbon neutralization data can be performed by means of the big data.
Description
Technical Field
The invention relates to the field of carbon neutralization calculation, in particular to a regional carbon neutralization calculation method based on big data analysis.
Background
Carbon neutralization is an energy-saving and emission-reducing term, and means that enterprises, groups or individuals measure and calculate the total amount of greenhouse gas emission generated directly or indirectly within a certain time, and the emission of carbon dioxide generated by the enterprises, groups or individuals is counteracted through the forms of tree planting, energy conservation and emission reduction and the like, so that the zero emission of the carbon dioxide is realized.
Disclosure of Invention
The invention mainly aims to provide a regional carbon neutralization calculation method based on big data analysis, which can effectively solve the problems in the background art.
In order to achieve the purpose, the invention adopts the technical scheme that:
a regional carbon neutralization calculation method based on big data analysis is characterized by comprising the following steps: the method comprises the following operation steps:
s1: establishing a database, and counting the forest accumulation amount, the biomass, the forest carbon storage amount, the forestry carbon sink and the carbon sink amount;
s2: establishing data of a regional carbon library;
s3: setting a carbon sink metering and monitoring range;
s4: accessing a data source for carbon reserve calculation support;
s5: counting the coverage range of the forest carbon reserves;
s6: carrying out statistics on research data of a carbon source sink by a sample recipe investigation method;
s7: detecting the concentration of the carbon dioxide and recording the data;
s8: and performing carbon neutralization calculation according to corresponding data.
Preferably, the forest reserve is the total volume of the trunk volume of the forest, the biomass is the total volume of organic substances in the forest, the forest carbon reserve is the reserve or mass of carbon elements in each carbon bank of the forest ecological system, is the result of years of accumulation of the forest ecological system and belongs to the reserve, the forest carbon sink is the process, the activity or the mechanism of absorbing and fixing carbon dioxide in the atmosphere and combining with carbon sink transaction by implementing forestation re-forestation and forest management, forest vegetation recovery, forest damage reduction and other activities, the forest carbon sink can be represented by the sum of the variation of the carbon reserves of all the carbon banks in a certain time period and belongs to the flow, and the carbon sink is the variation of the carbon reserves of the forest land and the urban green land in a certain time period, and the emission in the monitoring boundary is subtracted, so that the cleaning capacity and contribution of the forest land and the green land to greenhouse gases are reflected.
Preferably, the carbon reservoir mainly comprises five carbon reservoirs of aboveground biomass, underground biomass, dead wood, litter and soil organic matter.
Preferably, the carbon sink metering and monitoring ranges include forest, forest outer parts, brush forest, quadtree and scattered wood, thinning forest, urban forest, wetland and desertification land types.
Preferably, the data source comprises forest resource clearing data, forest resource planning and designing survey data, afforestation data, wetland resource survey data, desertification and desertification land monitoring data, ecological network monitoring data, remote sensing data, disaster statistical data of fire, plant diseases and insect pests and other relevant survey planning, designing and researching data.
Preferably, the coverage range of the forest carbon reserves comprises arbor forests, bamboo forests, shrub forests, thinning forests, new forests, shrubs and other forest lands, the existing forest carbon fixation is the sum of the forests and the outer parts of the forests, the forest categories comprise public welfare forests and commodity forests, the public welfare forests are forests which are mainly used for protecting and improving human living environment, maintaining ecological balance, preserving species resources, scientific experiments, forest tourism, national security and the like, and comprise shelters and special purpose forests, the commodity forests comprise forests which are mainly used for managing wood production, bamboos, salaries, dry and fresh fruits, other industrial raw materials and the like, and comprise timber forests, salary forests and economic forests, and because the economic forests are unstable, the carbon sink of the forest is unstable, and only the carbon reserves of the public welfare forests in the area need to be calculated.
Preferably, the average carbon density of the vegetation is obtained by the plot and then the carbon content of the ecosystem is obtained by multiplying the carbon density of the different vegetation by the corresponding area.
Preferably, the monitoring data aiming at the carbon dioxide concentration can be accessed to carbon dioxide concentration observation based on the atmosphere of a foundation platform, aerial platform remote sensing carbon dioxide concentration observation and satellite remote sensing carbon dioxide concentration observation, and the foundation platform is selected firstly because the data of an earlier and generally longer time sequence is established.
Preferably, four sides and scattered wood are required to be added during urban area accounting, and the forest carbon storage = aboveground part + underground part + soil + litter + dead wood.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, by thoroughly checking forest resource data and recording the data, the obtained data can be clearer when the carbon neutralization is calculated, and the analysis and comparison of the previous or subsequent carbon neutralization data can be carried out by depending on big data, so that the emission improvement of a certain area is facilitated.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention relates to a regional carbon neutralization calculation method based on big data analysis, which comprises the following operation steps:
s1: establishing a database, counting forest accumulation, biomass, forest carbon reserve, forest carbon sink and carbon sink, wherein the forest accumulation is the total volume of the trunk volume of the forest, the biomass is the total volume of organic substances of the forest, the forest carbon reserve is the reserve volume or mass of carbon elements in each carbon bank of a forest ecological system, is a result accumulated by the forest ecological system for many years and belongs to stock, the forest carbon sink is the result of forestation by implementing forestation and re-forestation, forest management and vegetation recovery, the method is a process, activity or mechanism for reducing activities such as forest destruction and the like, absorbing and fixing carbon dioxide in the atmosphere and combining carbon exchange, the carbon sink of the forest can be represented by the sum of the variation of the carbon reserves of all carbon reservoirs within a certain time, the flow is determined, the carbon sink is the variation of the carbon reserves of forest lands and urban green lands within a certain time period, the emission in a monitoring boundary is subtracted, and the cleaning capacity and contribution of the forest lands and the green lands to greenhouse gases are reflected.
S2: and establishing data of a regional carbon library, wherein the carbon library mainly comprises five carbon libraries including aboveground biomass, underground biomass, dead wood, litter and soil organic matters.
S3: and setting a carbon sink measuring and monitoring range, wherein the carbon sink measuring and monitoring range comprises types of forests, forest outer parts, shrubs, side trees, scattered trees, thinning forests, urban forests, wetlands and desertification lands.
S4: and accessing a data source on which carbon reserve calculation depends, wherein the data source comprises forest resource clearing data, forest resource planning and designing survey data, afforestation data, wetland resource survey data, desertification and desertification land monitoring data, ecological network monitoring data, remote sensing data, disaster statistical data such as fire, plant diseases and insect pests and other related survey planning, designing and researching data.
S5: statistics of coverage areas of forest carbon reserves, the coverage areas of the forest carbon reserves comprise arbor forests, bamboo forests, shrubs, thinning forests, new forests, shrubs and other forest lands, existing forest carbon fixation is the sum of forests and parts outside the forests, the forest categories comprise public welfare forests and commodity forests, the public welfare forests are forests which are mainly used for managing purposes and are used for protecting and improving human living environments, maintaining ecological balance, preserving species resources, scientific experiments, forest tourism, national security and the like, the commodity forests comprise forests which are mainly used for managing purposes and comprise timber production, bamboo timber, dry and fresh fruits, other industrial raw materials and the like, the commodity forests comprise timber forests, firewood forests and economic forests, and the carbon sink of the forest is unstable due to instability of the economic forests, so that the carbon reserves of the public welfare forests in the area only need to be calculated during calculation.
S6: and (3) carrying out statistics on research data of a carbon source sink by a sample square investigation method, obtaining the average carbon density of the vegetation through a sample square, and multiplying the carbon density of different vegetation by the corresponding area to obtain the carbon content of the ecosystem.
S7: the concentration of carbon dioxide is detected and data of the concentration of carbon dioxide is recorded, the monitoring data aiming at the concentration of carbon dioxide can be accessed to carbon dioxide concentration observation based on the atmosphere of a foundation platform, aerial platform remote sensing carbon dioxide concentration observation and satellite remote sensing carbon dioxide concentration observation, and the foundation platform is selected firstly because the foundation platform is established earlier and generally has data of a longer time sequence.
S8: and (3) performing carbon neutralization calculation on the urban area according to corresponding data, wherein four sides and scattered trees need to be added during urban area calculation, and the forest carbon reserve = aboveground part + underground part + soil + litter + dead trees.
According to the invention, by thoroughly checking forest resource data and recording the data, the obtained data can be clearer when the carbon neutralization is calculated, and the analysis and comparison of the previous or subsequent carbon neutralization data can be carried out by depending on big data, so that the emission improvement of a certain area is facilitated.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A regional carbon neutralization calculation method based on big data analysis is characterized by comprising the following steps: the method comprises the following operation steps:
s1: establishing a database, and counting the forest accumulation amount, the biomass, the forest carbon storage amount, the forestry carbon sink and the carbon sink amount;
s2: establishing data of a regional carbon library;
s3: setting a carbon sink metering and monitoring range;
s4: accessing a data source for carbon reserve calculation support;
s5: counting the coverage range of the forest carbon reserves;
s6: carrying out statistics on research data of a carbon source sink by a sample recipe investigation method;
s7: detecting the concentration of the carbon dioxide and recording the data;
s8: and performing carbon neutralization calculation according to corresponding data.
2. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the forest reserves is the total amount of forest trunk volume, the biomass is the total amount of forest organic matter, forest carbon reserves is the reserve volume or the quality of carbon element in each carbon storehouse of forest ecosystem, is the result of forest ecosystem many years accumulation, belongs to the stock, the forestry carbon sink is through implementing activities such as afforestation reforestation and forest management, vegetation recovery, reduction forest damage, absorbs and fixes the carbon dioxide in the atmosphere and with the carbon sink transaction process, activity or mechanism that combines together, the forest carbon sink can be expressed with the sum of the variable quantity of above-mentioned all carbon storehouse carbon reserves in a certain time quantum, belongs to the flow, the carbon sink is the carbon reserve variable quantity of forest land, city greenery patches in a certain period of time, subtracts the emission in the monitoring boundary, has reflected the cleaning capacity and the contribution of forest land, greenery patches to greenhouse gas.
3. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the carbon reservoir mainly comprises five carbon reservoirs of aboveground biomass, underground biomass, dead wood, litter and soil organic matter.
4. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the carbon sink metering and monitoring ranges include forest, forest outer parts, shrub forests, all-side trees and scattered trees, thinning forests, urban forests, wetlands and desertification land types.
5. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the data sources comprise forest resource clearing data, forest resource planning and designing survey data, afforestation data, wetland resource survey data, desertification and desertification land monitoring data, ecological network monitoring data, remote sensing data, disaster statistical data of fire, plant diseases and insect pests and the like, and other related survey planning, designing and researching data and the like.
6. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the coverage range of the forest carbon reserves comprises arbor forests, bamboo forests, shrubs, sparse forests, new forests, shrubs and other forest lands, the existing forest carbon fixation is the sum of the forests and the outer parts of the forests, the forest categories comprise public welfare forests and commodity forests, the public welfare forests are forests which are mainly used for managing and improving human living environment, maintaining ecological balance, storing species resources, scientific experiments, forest tourism, national security and the like, and comprise protection forests and special purpose forests, the commodity forests comprise forests which are mainly used for managing and producing woods, bamboos, salaries, fresh and dry fruits, other industrial raw materials and the like, and comprise forest wood forests, salary forests and economic forests, and because the economic forests are unstable, the carbon sink of the economic forests is unstable, and only the carbon reserves of the public welfare forests in the area need to be calculated.
7. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the average carbon density of the vegetation is obtained through the sample plot, and then the carbon content of the ecosystem is obtained by multiplying the carbon density of different vegetation by the corresponding area.
8. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: the monitoring data aiming at the carbon dioxide concentration can be accessed to carbon dioxide concentration observation based on the atmosphere of a foundation platform, aerial platform remote sensing carbon dioxide concentration observation and satellite remote sensing carbon dioxide concentration observation, and the foundation platform is selected firstly because the data of a long-time sequence is usually established earlier.
9. The regional carbon neutralization calculation method based on big data analysis according to claim 1, characterized in that: and adding four sides and scattered wood during urban area accounting, wherein the forest carbon reserve = aboveground part + underground part + soil + litter + dead wood.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115374629A (en) * | 2022-08-19 | 2022-11-22 | 生态环境部环境规划院 | Method and system for predicting forest carbon sink change and spatial distribution |
| CN116071419A (en) * | 2023-03-06 | 2023-05-05 | 四川省林业和草原调查规划院(四川省林业和草原生态环境监测中心) | Carbon sink dynamic metering method for carbon sink forestation and forest management carbon sink projects |
| WO2023207179A1 (en) * | 2022-04-29 | 2023-11-02 | 苏州大学 | Modeling method for carbon sequestration accounting in mulberry field ecological system |
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