CN114266003B - Plateau lake area carbon neutralization calculation method based on carbon balance analysis - Google Patents
Plateau lake area carbon neutralization calculation method based on carbon balance analysis Download PDFInfo
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Abstract
The invention discloses a plateau lake region carbon neutralization calculation method based on carbon balance analysis, which comprises the following steps: s1, selecting a local plateau lake region which presents high similarity with an ecological system of the plateau lake region from the plateau lake region as a plateau lake sample region, and constructing a static carbon fixation force time sequence estimation model and a static carbon discharge force time sequence estimation model in the plateau lake sample region; and S2, estimating the static carbon sequestration force of the plateau lake region at a future time sequence according to a static carbon sequestration force time sequence estimation model of the plateau lake region by using a sample estimation method, and calculating the static carbon sequestration force of the plateau lake region at the future time sequence based on the static carbon sequestration force at the future time sequence. The method realizes the real-time adjustment of the planning amounts of carbon removal elements and carbon fixation elements of the ecological system of the plateau lake region in advance so that the plateau lake region is in a carbon neutral state with balanced carbon balance in real time.
Description
Technical Field
The invention relates to the technical field of carbon neutralization calculation, in particular to a plateau lake region carbon neutralization calculation method based on carbon balance analysis.
Background
The carbon neutralization (carbon neutrality), energy conservation and emission reduction term refers to the fact that enterprises, groups or individuals measure and calculate the total amount of greenhouse gas emission generated directly or indirectly in a certain time, and carbon dioxide emission generated by themselves is counteracted through modes of tree planting, energy conservation and emission reduction and the like, so that zero emission of carbon dioxide is realized. And the carbon reaching peak refers to that carbon emission enters a stable descending stage after entering a platform stage. In short, carbon dioxide emissions are balanced.
The prior art CN202110174194.7 discloses a regional carbon neutralization calculation method based on carbon balance analysis, which comprises the following steps: a first step of: providing a carbon neutralization construction target of a city or an urban area, namely a fixed carbon ratio limit value requirement of the area; and a second step of: determining a first scale; and a third step of: performing carbon balance calculation of the region based on the data in the first scale; fourth step: calculating the regional carbon-to-carbon ratio; fifth step: comparing the solid-carbon ratio calculated in the fourth step with the solid-carbon ratio requirement determined in the first step; when the calculated solid-to-carbon ratio does not meet the solid-to-carbon ratio requirement, optimizing according to a carbon neutralization construction strategy, correcting planning and designing indexes, and returning to the step two; and when the calculated solid-carbon ratio meets the solid-carbon ratio requirement, ending the calculation. The method establishes a complete quantitative analysis tool of the composite system in the planning and construction flow of the carbon neutralization area, scientifically calculates the carbon neutralization realization effect of the planning and design scheme of the carbon neutralization area, and compares the carbon emission under different planning and design schemes.
In the prior art, although quantitative analysis of carbon neutralization is quantitatively realized, the calculation flow of carbon neutralization is complex, and only carbon neutralization calculation of the existing time sequence can be performed, so that carbon neutralization in the future time sequence can not be realized, and advanced planning is performed for realizing carbon neutralization of the future time sequence, and the accuracy of carbon neutralization is low.
Disclosure of Invention
The invention aims to provide a carbon neutralization calculation method for a plateau lake area based on carbon balance analysis, which aims to solve the technical problems that the calculation flow of carbon neutralization is complex in the prior art, carbon neutralization calculation of the existing time sequence can be only carried out, carbon neutralization in the future time sequence can not be realized, advanced planning is carried out for realizing the carbon neutralization of the future time sequence, and the carbon neutralization accuracy is low.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
a plateau lake region carbon neutralization calculation method based on carbon balance analysis comprises the following steps:
s1, selecting a local plateau lake region which presents high similarity with an ecological system of the plateau lake region from the plateau lake region as a plateau lake sample region, extracting a time sequence rule of static carbon fixation force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon fixation force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon fixation force;
Extracting a time sequence rule of static carbon removal force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon removal force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon removal force;
s2, estimating the static carbon sequestration force of the plateau lake region at a future time sequence according to a static carbon sequestration force time sequence estimation model of the plateau lake region by using a sample estimation method, and calculating the static carbon sequestration force of the plateau lake region at the future time sequence based on the static carbon sequestration force at the future time sequence;
estimating the static carbon removal force of the plateau lake region at a future time sequence according to a static carbon removal force time sequence estimation model of the plateau lake sample region by using a sample estimation method, and calculating the static carbon removal force of the plateau lake region at the future time sequence based on the static carbon removal force at the future time sequence;
s3, adding unknown amounts of dynamic carbon removal force and dynamic carbon fixation force to the plateau lake sample area, calculating to obtain unknown amounts of dynamic carbon emission and dynamic carbon fixation amount of the plateau lake area at a future time sequence according to the unknown amounts of the dynamic carbon removal force and the dynamic carbon fixation force, and calculating to obtain unknown amounts of total carbon emission and total carbon fixation amount of the plateau lake area at the future time sequence;
And S4, obtaining the unknown quantity of the total carbon allowance of the plateau lake region at the future time sequence based on the unknown quantity difference of the total carbon fixed quantity and the total carbon emission quantity, so as to ensure that the unknown quantity of the total carbon allowance at the future time sequence is minimized to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown quantity into the known quantity, and converting the known quantity of the dynamic carbon removal force and the dynamic carbon fixation force into the planned addition quantity of carbon removal elements and carbon fixation elements of an ecological system of the plateau lake region so as to realize the real-time adjustment of the planned quantity of the carbon removal elements and the carbon fixation elements of the ecological system of the plateau lake region in advance, so that the plateau lake region is in a carbon neutral state with balanced carbon balance in real time.
As a preferable scheme of the invention, the method for selecting the local plateau lake region which has high similarity with the ecological system of the plateau lake region from the plateau lake region as the plateau lake sample region comprises the following steps:
setting a remote sensing image frame of a plateau lake sample area, and taking the size ratio of the remote sensing image of the plateau lake area to the remote sensing image frame of the plateau lake sample area as the compression ratio of the remote sensing image of the plateau lake area;
Compressing the compression proportion of the remote sensing image of the plateau lake region to obtain a remote sensing compressed image of the plateau lake region;
performing displacement cutting on the remote sensing image of the plateau lake region to obtain a group of remote sensing local images representing the plateau lake local region, sequentially calculating the image feature similarity of the group of remote sensing local images and the remote sensing compressed image, and selecting the plateau lake local region corresponding to the remote sensing local image with the highest image feature similarity as the plateau lake sample region;
preferably, the step of performing displacement cutting on the remote sensing image of the plateau lake region to obtain a set of remote sensing local images representing the plateau lake local region includes:
taking the central point of the remote sensing image of the plateau lake area as a cutting origin, taking the central point of the remote sensing image frame according to the plateau lake sample area as a cutting moving point, and setting a displacement stepping value of the cutting moving point;
extracting a transverse limit value and a longitudinal limit value of a remote sensing image of the plateau lake region, and respectively moving the transverse limit value and the longitudinal limit value to be connected with a cutting origin in a transverse collineation manner and a longitudinal collineation manner to obtain a transverse movement baseline and a longitudinal movement baseline;
Longitudinally translating the transverse moving base line from a cutting origin to two ends of the longitudinal moving base line according to displacement stepping values to obtain a group of transverse moving lines, transversely translating the longitudinal moving base line from the cutting origin to two ends of the transverse moving base line according to the displacement stepping values to obtain a group of longitudinal moving lines, taking all intersection points of the transverse moving lines and the longitudinal moving lines as optional points of the cutting moving points, and sequentially moving the cutting moving points to each optional point to enable the remote sensing image frame to move along with the cutting moving points so as to cut the remote sensing image of the plateau lake region into a group of remote sensing partial images;
preferably, the method for calculating the similarity of the image features of the remote sensing local image and the remote sensing compressed image comprises the following steps:
converting the remote sensing local image and the remote sensing compressed image into image vector forms, and respectively inputting the remote sensing local image and the remote sensing compressed image converted into the image vector forms into a CNN convolutional neural network for feature extraction to obtain an image feature sequence of the remote sensing local image and an image feature sequence of the remote sensing compressed image;
measuring the similarity of image features of the image feature sequence of the remote sensing local image and the image feature sequence of the remote sensing compressed image by using the Euclidean distance to realize the measurement of the similarity between the ecosystem of the plateau lake region and the ecosystem of the local plateau lake region corresponding to the remote sensing local image, wherein the calculation formula of the similarity of the image features is as follows:
Wherein p is characterized by image feature similarity, A i 、B i The characteristic sequences are respectively characterized as an image characteristic sequence of an ith remote sensing local image and an image characteristic sequence of a remote sensing compressed image, i is a measurement constant, and no substantial meaning exists.
As a preferred scheme of the invention, a time sequence rule of static carbon fixation force in a plateau lake sample area is extracted from the plateau lake sample area, and a static carbon fixation force time sequence estimation model of the plateau lake sample area is constructed based on the time sequence rule of the static carbon fixation force, and the method comprises the following steps:
setting an acquisition time sequence, acquiring static carbon sequestration force in a plateau lake sample area according to the acquisition time sequence to obtain a group of static carbon sequestration force time sequence data representing a static carbon sequestration force time sequence rule in the plateau lake sample area, and quantifying the static carbon sequestration force data on each acquisition time sequence in the static carbon sequestration force time sequence data into a single training sample, wherein time sequence values of the static carbon sequestration force and the acquisition time sequence are respectively a sample label and sample data;
substituting the training sample into an LSTM time sequence prediction model to obtain a static carbon fixation force time sequence estimation model which is characterized by a time sequence rule of the static carbon fixation force, wherein the time sequence rule of the static carbon fixation force is characterized by a nonlinear mapping relation between the static carbon fixation force and the time sequence, an input item of the static carbon fixation force time sequence estimation model is a time sequence value, an output item of the static carbon fixation force is the static carbon fixation force, and the static carbon fixation force is characterized by the carbon fixation force of an inherent ecosystem of a plateau lake sample area;
Extracting a time sequence rule of static carbon removal force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon removal force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon removal force, wherein the method comprises the following steps:
collecting static carbon removal force in a plateau lake sample area according to a collection time sequence to obtain a group of static carbon removal force time sequence data representing the time sequence rule of the static carbon removal force in the plateau lake sample area, and quantifying the static carbon removal force data on each time sequence in the static carbon removal force time sequence data into a single training sample, wherein the time sequence values of the static carbon removal force and the collection time sequence are respectively a sample label and sample data;
substituting the training sample into an LSTM time sequence prediction model to obtain a static carbon removal force time sequence estimation model which is characterized by a time sequence rule of the static carbon removal force, wherein the time sequence rule of the static carbon removal force is characterized by a nonlinear mapping relation between the static carbon removal force and the time sequence, an input item of the static carbon removal force time sequence estimation model is a time sequence value, an output item of the static carbon removal force is the static carbon removal force, and the static carbon removal force is characterized by the carbon removal force of an inherent ecosystem of a plateau lake sample area.
As a preferable scheme of the invention, the method for estimating the static carbon sequestration force of the plateau lake region at the future time sequence by using the sample estimation method according to the static carbon sequestration force time sequence estimation model of the plateau lake region comprises the following steps:
inputting a time sequence value of a future time sequence into a static carbon fixation force time sequence estimation model, and outputting static carbon fixation force of a plateau lake sample area at the future time sequence by the static carbon fixation force time sequence estimation model;
and multiplying the static carbon fixation force of the plateau lake sample region at the future time sequence by the compression ratio to obtain the static carbon fixation force of the plateau lake region at the future time sequence.
As a preferred embodiment of the present invention, the calculation of the static carbon fixation amount of the plateau lake region at the future time sequence based on the static carbon fixation force at the future time sequence includes:
integrating all the static carbon fixation forces at the future time sequence based on the time sequence to obtain static carbon fixation quantity of the plateau lake region at the future time sequence, wherein the calculation formula of the static carbon fixation quantity is as follows:
wherein S is n Characterized by the nth future time sequence t n The static carbon at the location is fixed in quantity,characterized by the jth future time t j Static carbon fixation force at point n is total number of future time sequences, t j 、t j+1 The method is characterized by j and j+1 future time sequences, wherein j is a metering constant and has no substantial meaning.
As a preferable scheme of the invention, the method for estimating the static carbon removal force of the plateau lake region at the future time sequence by using the sample estimation method according to the static carbon removal force time sequence estimation model of the plateau lake sample region comprises the following steps:
inputting a time sequence value of a future time sequence into a static carbon removal force time sequence estimation model, and outputting static carbon removal force of a plateau lake sample area at the future time sequence by the static carbon removal force time sequence estimation model;
and multiplying the static carbon removal force of the plateau lake sample region at the future time sequence by the compression ratio to obtain the static carbon removal force of the plateau lake region at the future time sequence.
As a preferable scheme of the invention, the calculation of the static carbon emission of the plateau lake region at the future time sequence based on the static carbon emission at the future time sequence comprises the following steps:
integrating all the static carbon discharge forces at the future time sequence based on the time sequence to obtain the static carbon discharge amount of the plateau lake region at the future time sequence, wherein the calculation formula of the static carbon discharge amount is as follows:
in which Q n Characterized by the nth future time sequence t n The static carbon emission amount at the location,characterized by the jth future time t j Static carbon removal force at point n is total number of future time sequences, t j 、t j+1 The method is characterized by j and j+1 future time sequences, wherein j is a metering constant and has no substantial meaning.
As a preferred embodiment of the present invention, the calculating according to the unknown amounts of the dynamic carbon removal force and the dynamic carbon fixation force to obtain the unknown amounts of the dynamic carbon emission amount and the dynamic carbon fixation amount of the plateau lake region at the future time sequence, and the calculating to obtain the unknown amounts of the total carbon emission amount and the total carbon fixation amount of the plateau lake region at the future time sequence includes:
integrating the unknown quantity of the dynamic carbon fixation force at all future time sequences based on the time sequences to obtain the unknown quantity of the dynamic carbon fixation quantity of the plateau lake region at the future time sequences, wherein the calculation formula of the unknown quantity of the dynamic carbon fixation quantity is as follows:
wherein s is n Characterized by the nth future time sequence t n An unknown amount of dynamic carbon fixation at the site,characterized by the jth future time t j An unknown amount of dynamic carbon fixation force at the point, H, is characterized by a compression ratio;
integrating the unknown quantity of the dynamic carbon removal force at all future time sequences based on the time sequences to obtain the unknown quantity of the dynamic carbon emission of the plateau lake region at the future time sequences, wherein the calculation formula of the unknown quantity of the dynamic carbon emission is as follows:
Wherein q is n Characterized by the nth future time sequence t n An unknown amount of dynamic carbon emissions at the location,characterized by the jth future time t j Unknown amount of dynamic carbon removal force at the location;
the calculation formula of the unknown quantity of the total carbon fixed quantity of the plateau lake region at the future time sequence is as follows:
S＝s n +S n ；
where S is characterized by the nth future time t n An unknown amount of total carbon fixed amount at;
the calculation formula of the unknown quantity of the total carbon emission of the plateau lake region at the future time sequence is as follows:
Q＝q n +Q n ；
where Q is characterized by the nth future time t n An unknown amount of total carbon emissions at the site;
the dynamic carbon fixation force is characterized by the carbon removal force of an ecosystem added for the plateau lake sample area manually, and the dynamic carbon removal force is characterized by the carbon removal force of an ecosystem added for the plateau lake sample area manually.
As a preferred aspect of the present invention, the minimizing of the unknown amount of the total carbon allowance at the future time sequence to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown amount to the known amount includes:
the unknown quantity of the total carbon allowance is equal to the difference between the unknown quantity of the total carbon fixed quantity of the plateau lake region at the future time sequence and the unknown quantity of the total carbon emission quantity of the plateau lake region at the future time sequence, and the calculation formula of the unknown quantity of the total carbon allowance is as follows:
ΔC＝S-Q；
And carrying out minimum solution on the unknown quantity delta C of the total carbon allowance to obtain the determined values of the dynamic carbon removal force and the dynamic carbon fixation force so as to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown quantity to the known quantity.
As a preferred scheme of the present invention, the conversion of the known amounts of the dynamic carbon removal force and the dynamic carbon fixation force into the planned addition amounts of carbon removal elements and carbon fixation elements of the ecosystem of the plateau lake region includes:
converting the known amounts of the dynamic carbon removal force and the dynamic carbon fixation force into planned addition amounts of carbon removal elements and carbon fixation elements of an ecological system in a plateau lake sample area;
and multiplying the planned addition amounts of carbon-removing elements and carbon-fixing elements of the ecosystem of the plateau lake sample area by the compression ratio to obtain the planned addition amounts of carbon-removing elements and carbon-fixing elements of the ecosystem of the plateau lake area.
Compared with the prior art, the invention has the following beneficial effects:
according to the method, a local plateau lake region which presents high similarity with an ecological system of the plateau lake region is selected from the plateau lake region to serve as a plateau lake sample region, the time sequence rule of static carbon fixation force and the time sequence rule of static carbon fixation force in the plateau lake sample region are extracted in the plateau lake sample region, the data acquisition amount and the data processing amount are effectively reduced in the compression proportion mapping plateau lake region, the data processing efficiency is improved, the unknown amount of the total carbon allowance at the future time sequence is guaranteed to be minimized, so that the dynamic carbon fixation force and the dynamic carbon fixation force are converted from the unknown amount into the known amount, and the known amount of the dynamic carbon fixation force and the carbon fixation element of the ecological system of the plateau lake region are converted into the planned addition amount of the carbon fixation element and the carbon fixation element of the ecological system of the plateau lake region, so that the planned amount of the carbon fixation element and the carbon fixation element of the ecological system of the plateau lake region is adjusted in real time in advance, and the plateau lake region is in a carbon balance state in real time.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
Fig. 1 is a flowchart of a method for calculating carbon neutralization in a plateau lake region according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
As shown in fig. 1, in order to ensure that the ecological system of the plateau lake area is in a carbon neutral state, the ecological system of the plateau lake area needs to be kept in carbon balance, however, the ecological system of the plateau lake area usually shows a fixed ecological trend unchanged under the condition of no external force change, so that the inherent carbon balance of the ecological system of the plateau lake area is in a fixed change trend, at the moment, if the carbon balance is in an unbalanced state, the carbon neutral state cannot be achieved under the condition of no external force, therefore, the invention provides a carbon neutral calculation method of the plateau lake area based on carbon balance analysis.
A plateau lake region carbon neutralization calculation method based on carbon balance analysis comprises the following steps:
in order to measure the timing law of the carbon fixation force and the timing law of the carbon removal force generated by the inherent ecosystem in the plateau lake region, the whole area of the plateau lake region needs to be collected and processed by the timing data of the carbon fixation force and the timing data of the carbon removal force, and the area of the plateau lake region is too large, so that the amount of the timing data required to be collected and processed is too large, and the processing efficiency is too low.
And S1, selecting a local plateau lake region which has high similarity with an ecological system of the plateau lake region from the plateau lake region as a plateau lake sample region.
Selecting a local plateau lake region exhibiting high similarity with an ecosystem of the plateau lake region from the plateau lake region as a plateau lake sample region, comprising:
Setting a remote sensing image frame of a plateau lake sample area, and taking the size ratio of the remote sensing image of the plateau lake area to the remote sensing image frame of the plateau lake sample area as the compression ratio of the remote sensing image of the plateau lake area;
compressing the compression proportion of the remote sensing image of the plateau lake region to obtain a remote sensing compressed image of the plateau lake region;
performing displacement cutting on the remote sensing image of the plateau lake region to obtain a group of remote sensing local images representing the plateau lake local region, sequentially calculating the image feature similarity of the group of remote sensing local images and the remote sensing compressed image, and selecting the plateau lake local region corresponding to the remote sensing local image with the highest image feature similarity as a plateau lake sample region;
preferably, the displacement type cutting is performed on the remote sensing image of the plateau lake region to obtain a group of remote sensing local images representing the plateau lake local region, which comprises the following steps:
taking the central point of the remote sensing image of the plateau lake area as a cutting origin, taking the central point of the remote sensing image frame according to the plateau lake sample area as a cutting moving point, and setting a displacement stepping value of the cutting moving point;
extracting a transverse limit value and a longitudinal limit value of a remote sensing image of a plateau lake region, and respectively moving the transverse limit value and the longitudinal limit value to be connected with a cutting origin in a transverse collineation manner and to be connected with the cutting origin in a longitudinal collineation manner to obtain a transverse moving base line and a longitudinal moving base line;
Performing longitudinal translation on the transverse moving base line from the cutting origin to two ends of the longitudinal moving base line according to the displacement stepping value to obtain a group of transverse moving lines, performing transverse translation on the longitudinal moving base line from the cutting origin to two ends of the transverse moving base line according to the displacement stepping value to obtain a group of longitudinal moving lines, taking all intersection points of the transverse moving lines and the longitudinal moving lines as optional points of cutting moving points, and sequentially moving the cutting moving points to each optional point to enable the remote sensing image frame to move along with the cutting moving points so as to cut the remote sensing image of the plateau lake region into a group of remote sensing partial images;
preferably, the image feature similarity calculation method of the remote sensing local image and the remote sensing compressed image comprises the following steps:
converting the remote sensing local image and the remote sensing compressed image into image vector forms, respectively inputting the remote sensing local image and the remote sensing compressed image converted into the image vector forms into a CNN convolutional neural network for feature extraction to obtain an image feature sequence of the remote sensing local image and an image feature sequence of the remote sensing compressed image;
measuring the similarity of image features of the image feature sequence of the remote sensing local image and the image feature sequence of the remote sensing compressed image by using the Euclidean distance to realize the measurement of the similarity between the ecosystem of the plateau lake region and the ecosystem of the local plateau lake region corresponding to the remote sensing local image, wherein the calculation formula of the similarity of the image features is as follows:
Wherein p is characterized by image feature similarity, A i 、B i The characteristic sequences are respectively characterized as an image characteristic sequence of an ith remote sensing local image and an image characteristic sequence of a remote sensing compressed image, i is a measurement constant, and no substantial meaning exists.
The displacement type cutting enables more remote sensing local images of different categories to be acquired, so that the possibility of obtaining the plateau lake sample region with the highest image feature similarity with the remote sensing compressed image is increased, the ecological system of the plateau lake sample region and the ecological system of the plateau lake region are the highest in similarity finally, and the data obtained by the ecological system of the plateau lake sample region are more effective for subsequent calculation.
Extracting a time sequence rule of static carbon fixation force in a plateau lake sample area from the plateau lake sample area, and constructing a static carbon fixation force time sequence estimation model of the plateau lake sample area based on the time sequence rule of the static carbon fixation force;
extracting a time sequence rule of static carbon fixation force in a plateau lake sample area from the plateau lake sample area, and constructing a static carbon fixation force time sequence estimation model of the plateau lake sample area based on the time sequence rule of the static carbon fixation force, wherein the method comprises the following steps:
setting an acquisition time sequence, acquiring static carbon sequestration force in a plateau lake sample area according to the acquisition time sequence to obtain a group of static carbon sequestration force time sequence data representing a static carbon sequestration force time sequence rule in the plateau lake sample area, and quantifying the static carbon sequestration force data on each acquisition time sequence in the static carbon sequestration force time sequence data into a single training sample, wherein the time sequence values of the static carbon sequestration force and the acquisition time sequence are respectively a sample label and sample data;
Substituting the training sample into an LSTM time sequence prediction model to obtain a static carbon fixation force time sequence estimation model which is characterized by a time sequence rule of the static carbon fixation force, wherein the time sequence rule of the static carbon fixation force is characterized by a nonlinear mapping relation between the static carbon fixation force and the time sequence, an input item of the static carbon fixation force time sequence estimation model is a time sequence value, an output item is the static carbon fixation force, and the static carbon fixation force is characterized by the carbon fixation force of an inherent ecosystem of a plateau lake sample area;
extracting a time sequence rule of static carbon removal force in a plateau lake sample area from the plateau lake sample area, and constructing a static carbon removal force time sequence estimation model of the plateau lake sample area based on the time sequence rule of the static carbon removal force;
extracting a time sequence rule of static carbon removal force in a plateau lake sample area from the plateau lake sample area, and constructing a static carbon removal force time sequence estimation model of the plateau lake sample area based on the time sequence rule of the static carbon removal force, wherein the method comprises the following steps:
collecting static carbon removal force in a plateau lake sample area according to a collection time sequence to obtain a group of static carbon removal force time sequence data representing the time sequence rule of the static carbon removal force in the plateau lake sample area, and quantifying the static carbon removal force data on each time sequence in the static carbon removal force time sequence data into a single training sample, wherein the time sequence values of the static carbon removal force and the collection time sequence are respectively a sample label and sample data;
Substituting the training sample into an LSTM time sequence prediction model to obtain a static carbon removal force time sequence estimation model which is characterized by a time sequence rule of the static carbon removal force, wherein the time sequence rule of the static carbon removal force is characterized by a nonlinear mapping relation between the static carbon removal force and the time sequence, an input item of the static carbon removal force time sequence estimation model is a time sequence value, an output item is the static carbon removal force, and the static carbon removal force is characterized by the carbon removal force of an inherent ecosystem of a plateau lake sample area.
S2, estimating the static carbon sequestration force of the plateau lake region at a future time sequence according to a static carbon sequestration force time sequence estimation model of the plateau lake sample region by using a sample estimation method, and calculating the static carbon sequestration force of the plateau lake region at the future time sequence based on the static carbon sequestration force at the future time sequence to obtain the static carbon sequestration amount of the plateau lake region at the future time sequence;
estimating the static carbon removal force of the plateau lake region at a future time sequence according to a static carbon removal force time sequence estimation model of the plateau lake sample region by using a sample estimation method, and calculating to obtain the static carbon emission of the plateau lake region at the future time sequence based on the static carbon removal force at the future time sequence;
estimating the static carbon sequestration force of the plateau lake region at a future time sequence by using a sample estimation method according to a static carbon sequestration force time sequence estimation model of the plateau lake sample region, wherein the method comprises the following steps:
Inputting a time sequence value of the future time sequence into a static carbon fixation force time sequence estimation model, and outputting static carbon fixation force of the plateau lake sample region at the future time sequence by the static carbon fixation force time sequence estimation model;
and multiplying the static carbon fixation force of the plateau lake sample region at the future time sequence by the compression ratio to obtain the static carbon fixation force of the plateau lake region at the future time sequence.
Calculating the static carbon fixation amount of the plateau lake region at the future time sequence based on the static carbon fixation force at the future time sequence, wherein the method comprises the following steps:
integrating all static carbon fixation forces at future time sequences based on the time sequences to obtain static carbon fixation amounts of the plateau lake region at the future time sequences, wherein the calculation formula of the static carbon fixation amounts is as follows:
wherein S is n Characterized by the nth future time sequence t n The static carbon at the location is fixed in quantity,characterized by the jth future time t j Static carbon fixation force at point n is total number of future time sequences, t j 、t j+1 The method is characterized by j and j+1 future time sequences, wherein j is a metering constant and has no substantial meaning.
Estimating the static carbon removal force of the plateau lake region at a future time sequence by using a sample estimation method according to a static carbon removal force time sequence estimation model of the plateau lake sample region, wherein the method comprises the following steps:
inputting a time sequence value of the future time sequence into a static carbon removal force time sequence estimation model, and outputting static carbon removal force of the plateau lake sample region at the future time sequence by the static carbon removal force time sequence estimation model;
And multiplying the static carbon removal force of the plateau lake sample region at the future time sequence by the compression ratio to obtain the static carbon removal force of the plateau lake region at the future time sequence.
Calculating the static carbon emission of the plateau lake region at the future time sequence based on the static carbon emission at the future time sequence, wherein the method comprises the following steps:
integrating all static carbon discharge forces at future time sequences based on the time sequences to obtain static carbon discharge of the plateau lake region at the future time sequences, wherein the calculation formula of the static carbon discharge is as follows:
in which Q n Characterized by the nth future time sequence t n The static carbon emission amount at the location,characterized by the jth future time t j Static carbon removal force at point n is total number of future time sequences, t j 、t j+1 The method is characterized by j and j+1 future time sequences, wherein j is a metering constant and has no substantial meaning.
Both the static carbon fixation amount and the static carbon emission amount are time-series accumulation amounts, so the static carbon fixation amount and the static carbon emission amount at the nth future time series are obtained by accumulating and summing the static carbon fixation amounts and the static carbon emission amounts at the 1 st to nth future time series by integrating operations in this embodiment.
The inherent ecosystem of the plateau lake sample area has fixed static carbon fixation force and static carbon discharge force time sequence law, so in order to ensure that the plateau lake sample area can realize real-time carbon neutralization, external force needs to be added, namely, carbon fixation elements (photosynthesis green plants) and carbon discharge elements (respiration animals) are added in the inherent ecosystem, namely, dynamic carbon fixation force and dynamic carbon discharge force in the embodiment are added, so that the total carbon emission and total carbon fixation amount at the future time sequence are calculated, and the method specifically comprises the following steps:
S3, adding unknown amounts of dynamic carbon removal force and dynamic carbon fixation force to the plateau lake sample area, calculating to obtain unknown amounts of dynamic carbon emission and dynamic carbon fixation amount of the plateau lake area at a future time sequence according to the unknown amounts of the dynamic carbon removal force and the dynamic carbon fixation force, and calculating to obtain unknown amounts of total carbon emission and total carbon fixation amount of the plateau lake area at the future time sequence;
calculating the unknown amounts of the dynamic carbon emission and the dynamic carbon fixation of the plateau lake region at the future time sequence according to the unknown amounts of the dynamic carbon emission and the dynamic carbon fixation, and calculating the unknown amounts of the total carbon emission and the total carbon fixation of the plateau lake region at the future time sequence, wherein the method comprises the following steps:
integrating all unknown quantities of dynamic carbon fixation force at future time sequences based on the time sequences to obtain unknown quantities of dynamic carbon fixation quantity of the plateau lake region at the future time sequences, wherein a calculation formula of the unknown quantities of the dynamic carbon fixation quantity is as follows:
wherein s is n Characterized by the nth future time sequence t n An unknown amount of dynamic carbon fixation at the site,characterized by the jth future time t j An unknown amount of dynamic carbon fixation force at the point, H, is characterized by a compression ratio;
integrating the unknown quantity of the dynamic carbon discharge force at all future time sequences based on the time sequences to obtain the unknown quantity of the dynamic carbon discharge quantity of the plateau lake region at the future time sequences, wherein the calculation formula of the unknown quantity of the dynamic carbon discharge quantity is as follows:
Wherein q is n Characterized by the nth future time sequence t n An unknown amount of dynamic carbon emissions at the location,characterized by the jth future time t j Unknown amount of dynamic carbon removal force at the location;
the calculation formula of the unknown quantity of the total carbon fixed quantity of the plateau lake region at the future time sequence is as follows:
S＝s n +S n ；
where S is characterized by the nth future time t n An unknown amount of total carbon fixed amount at;
the calculation formula of the unknown quantity of the total carbon emission of the plateau lake region at the future time sequence is as follows:
Q＝q n +Q n ；
where Q is characterized by the nth future time t n An unknown amount of total carbon emissions at the site;
the dynamic carbon fixation force is characterized by the carbon removal force of an ecosystem added for the plateau lake sample area manually, and the dynamic carbon removal force is characterized by the carbon removal force of an ecosystem added for the plateau lake sample area manually.
The dynamic carbon fixing amount and the dynamic carbon emission amount are time sequence adjusting amounts, so that the dynamic carbon fixing amount and the dynamic carbon emission amount at the nth future time sequence are obtained by integrating the dynamic carbon fixing force and the dynamic carbon emission force at the nth-1 future time sequence, namely, the carbon fixing element and the carbon emission element which need to be added are planned at the nth-1 future time sequence so as to adjust the dynamic carbon fixing amount and the dynamic carbon emission amount at the nth future time sequence, and finally, the total carbon fixing amount and the total carbon emission amount at the nth future time sequence are adjusted so that the total carbon fixing amount and the total carbon emission amount represent a carbon balance state.
And S4, obtaining the unknown quantity of the total carbon allowance of the plateau lake region at the future time sequence based on the unknown quantity difference of the total carbon fixed quantity and the total carbon emission quantity, so as to ensure that the unknown quantity of the total carbon allowance at the future time sequence is minimized to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown quantity into the known quantity, and converting the known quantity of the dynamic carbon removal force and the dynamic carbon fixation force into the planned addition quantity of carbon removal elements and carbon fixation elements of an ecological system of the plateau lake region so as to realize the real-time adjustment of the planned quantity of the carbon removal elements and the carbon fixation elements of the ecological system of the plateau lake region in advance to ensure that the plateau lake region is in a carbon neutral state with balanced carbon balance in real time.
Minimizing the unknown amount of the total carbon allowance at the future time sequence to enable the dynamic carbon removal force and the dynamic carbon fixation force to be changed from the unknown amount to the known amount, the greater the likelihood that the total carbon allowance at the future time sequence is minimized, the greater the likelihood that the carbon balance is achieved, including:
the unknown quantity of the total carbon allowance is equal to the difference between the unknown quantity of the total carbon fixed quantity of the plateau lake region at the future time sequence and the unknown quantity of the total carbon emission quantity of the plateau lake region at the future time sequence, and the calculation formula of the unknown quantity of the total carbon allowance is as follows:
ΔC＝S-Q；
And carrying out minimum solution on the unknown quantity delta C of the total carbon allowance to obtain the determined values of the dynamic carbon removal force and the dynamic carbon fixation force so as to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown quantity to the known quantity.
Converting the known amounts of the dynamic carbon removal force and the dynamic carbon fixation force into planned addition amounts of carbon removal elements and carbon fixation elements of an ecological system of a plateau lake region, wherein the method comprises the following steps of:
converting the known amounts of the dynamic carbon removal force and the dynamic carbon fixation force into planned addition amounts of carbon removal elements and carbon fixation elements of an ecological system in a plateau lake sample area;
and multiplying the planned addition amounts of carbon-removing elements and carbon-fixing elements of the ecosystem of the plateau lake sample area by the compression ratio to obtain the planned addition amounts of carbon-removing elements and carbon-fixing elements of the ecosystem of the plateau lake area.
According to the method, a local plateau lake region which presents high similarity with an ecological system of the plateau lake region is selected from the plateau lake region to serve as a plateau lake sample region, the time sequence rule of static carbon fixation force and the time sequence rule of static carbon fixation force in the plateau lake sample region are extracted in the plateau lake sample region, the data acquisition amount and the data processing amount are effectively reduced in the compressed proportion mapping plateau lake region, the data processing efficiency is improved, the unknown amount of the total carbon allowance at the future time sequence is guaranteed to be minimized, so that the dynamic carbon fixation force and the dynamic carbon fixation force are changed into known amounts from the unknown amount, and then the known amounts of the dynamic carbon fixation force and the dynamic carbon fixation force are converted into planned addition amounts of carbon fixation elements and carbon fixation elements of the ecological system of the plateau lake region, so that the planned addition amounts of the carbon fixation elements and the carbon fixation elements of the ecological system of the plateau lake region are adjusted in real time in advance, and the plateau lake region is in a carbon balance state in real time.
The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements may be made to the present application by those skilled in the art, which modifications and equivalents are also considered to be within the scope of the present application.
Claims (10)
1. The plateau lake region carbon neutralization calculation method based on carbon balance analysis is characterized by comprising the following steps of:
s1, selecting a local plateau lake region which presents high similarity with an ecological system of the plateau lake region from the plateau lake region as a plateau lake sample region, extracting a time sequence rule of static carbon fixation force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon fixation force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon fixation force;
extracting a time sequence rule of static carbon removal force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon removal force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon removal force;
S2, estimating the static carbon sequestration force of the plateau lake region at a future time sequence according to a static carbon sequestration force time sequence estimation model of the plateau lake region by using a sample estimation method, and calculating the static carbon sequestration force of the plateau lake region at the future time sequence based on the static carbon sequestration force at the future time sequence;
estimating the static carbon removal force of the plateau lake region at a future time sequence according to a static carbon removal force time sequence estimation model of the plateau lake sample region by using a sample estimation method, and calculating the static carbon removal force of the plateau lake region at the future time sequence based on the static carbon removal force at the future time sequence;
s3, adding unknown amounts of dynamic carbon removal force and dynamic carbon fixation force to the plateau lake sample area, calculating to obtain unknown amounts of dynamic carbon emission and dynamic carbon fixation amount of the plateau lake area at a future time sequence according to the unknown amounts of the dynamic carbon removal force and the dynamic carbon fixation force, and calculating to obtain unknown amounts of total carbon emission and total carbon fixation amount of the plateau lake area at the future time sequence;
and S4, obtaining the unknown quantity of the total carbon allowance of the plateau lake region at the future time sequence based on the unknown quantity difference of the total carbon fixed quantity and the total carbon emission quantity, so as to ensure that the unknown quantity of the total carbon allowance at the future time sequence is minimized to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown quantity into the known quantity, and converting the known quantity of the dynamic carbon removal force and the dynamic carbon fixation force into the planned addition quantity of carbon removal elements and carbon fixation elements of an ecological system of the plateau lake region so as to realize the real-time adjustment of the planned quantity of the carbon removal elements and the carbon fixation elements of the ecological system of the plateau lake region in advance, so that the plateau lake region is in a carbon neutral state with balanced carbon balance in real time.
2. The method for calculating the carbon neutralization of the area of the plateau lake based on the carbon balance analysis according to claim 1, wherein the method comprises the following steps: the selecting a local plateau lake region with high similarity to an ecosystem of the plateau lake region from the plateau lake region as a plateau lake sample region comprises the following steps:
setting a remote sensing image frame of a plateau lake sample area, and taking the size ratio of the remote sensing image of the plateau lake area to the remote sensing image frame of the plateau lake sample area as the compression ratio of the remote sensing image of the plateau lake area;
compressing the compression proportion of the remote sensing image of the plateau lake region to obtain a remote sensing compressed image of the plateau lake region;
performing displacement cutting on the remote sensing image of the plateau lake region to obtain a group of remote sensing local images representing the plateau lake local region, sequentially calculating the image feature similarity of the group of remote sensing local images and the remote sensing compressed image, and selecting the plateau lake local region corresponding to the remote sensing local image with the highest image feature similarity as the plateau lake sample region;
preferably, the step of performing displacement cutting on the remote sensing image of the plateau lake region to obtain a set of remote sensing local images representing the plateau lake local region includes:
Taking the central point of the remote sensing image of the plateau lake area as a cutting origin, taking the central point of the remote sensing image frame according to the plateau lake sample area as a cutting moving point, and setting a displacement stepping value of the cutting moving point;
extracting a transverse limit value and a longitudinal limit value of a remote sensing image of the plateau lake region, and respectively moving the transverse limit value and the longitudinal limit value to be connected with a cutting origin in a transverse collineation manner and a longitudinal collineation manner to obtain a transverse movement baseline and a longitudinal movement baseline;
longitudinally translating the transverse moving base line from a cutting origin to two ends of the longitudinal moving base line according to displacement stepping values to obtain a group of transverse moving lines, transversely translating the longitudinal moving base line from the cutting origin to two ends of the transverse moving base line according to the displacement stepping values to obtain a group of longitudinal moving lines, taking all intersection points of the transverse moving lines and the longitudinal moving lines as optional points of the cutting moving points, and sequentially moving the cutting moving points to each optional point to enable the remote sensing image frame to move along with the cutting moving points so as to cut the remote sensing image of the plateau lake region into a group of remote sensing partial images;
preferably, the method for calculating the similarity of the image features of the remote sensing local image and the remote sensing compressed image comprises the following steps:
Converting the remote sensing local image and the remote sensing compressed image into image vector forms, and respectively inputting the remote sensing local image and the remote sensing compressed image converted into the image vector forms into a CNN convolutional neural network for feature extraction to obtain an image feature sequence of the remote sensing local image and an image feature sequence of the remote sensing compressed image;
measuring the similarity of image features of the image feature sequence of the remote sensing local image and the image feature sequence of the remote sensing compressed image by using the Euclidean distance to realize the measurement of the similarity between the ecosystem of the plateau lake region and the ecosystem of the local plateau lake region corresponding to the remote sensing local image, wherein the calculation formula of the similarity of the image features is as follows:
wherein p is characterized by image feature similarity, A i 、B i The characteristic sequences are respectively characterized as an image characteristic sequence of an ith remote sensing local image and an image characteristic sequence of a remote sensing compressed image, i is a measurement constant, and no substantial meaning exists.
3. The method for calculating the carbon neutralization of the area of the plateau lake based on the carbon balance analysis according to claim 2, wherein the method comprises the following steps: extracting a time sequence rule of static carbon fixation force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon fixation force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon fixation force, wherein the method comprises the following steps:
Setting an acquisition time sequence, acquiring static carbon sequestration force in a plateau lake sample area according to the acquisition time sequence to obtain a group of static carbon sequestration force time sequence data representing a static carbon sequestration force time sequence rule in the plateau lake sample area, and quantifying the static carbon sequestration force data on each acquisition time sequence in the static carbon sequestration force time sequence data into a single training sample, wherein time sequence values of the static carbon sequestration force and the acquisition time sequence are respectively a sample label and sample data;
substituting the training sample into an LSTM time sequence prediction model to obtain a static carbon fixation force time sequence estimation model which is characterized by a time sequence rule of the static carbon fixation force, wherein the time sequence rule of the static carbon fixation force is characterized by a nonlinear mapping relation between the static carbon fixation force and the time sequence, an input item of the static carbon fixation force time sequence estimation model is a time sequence value, an output item of the static carbon fixation force is the static carbon fixation force, and the static carbon fixation force is characterized by the carbon fixation force of an inherent ecosystem of a plateau lake sample area;
extracting a time sequence rule of static carbon removal force in the plateau lake sample region from the plateau lake sample region, and constructing a static carbon removal force time sequence estimation model of the plateau lake sample region based on the time sequence rule of the static carbon removal force, wherein the method comprises the following steps:
Collecting static carbon removal force in a plateau lake sample area according to a collection time sequence to obtain a group of static carbon removal force time sequence data representing the time sequence rule of the static carbon removal force in the plateau lake sample area, and quantifying the static carbon removal force data on each time sequence in the static carbon removal force time sequence data into a single training sample, wherein the time sequence values of the static carbon removal force and the collection time sequence are respectively a sample label and sample data;
substituting the training sample into an LSTM time sequence prediction model to obtain a static carbon removal force time sequence estimation model which is characterized by a time sequence rule of the static carbon removal force, wherein the time sequence rule of the static carbon removal force is characterized by a nonlinear mapping relation between the static carbon removal force and the time sequence, an input item of the static carbon removal force time sequence estimation model is a time sequence value, an output item of the static carbon removal force is the static carbon removal force, and the static carbon removal force is characterized by the carbon removal force of an inherent ecosystem of a plateau lake sample area.
4. A method for calculating carbon neutralization in a plateau lake region based on carbon balance analysis as recited in claim 3, wherein: the method for estimating the static carbon sequestration force of the plateau lake region at the future time sequence by using a sample estimation method according to a static carbon sequestration force time sequence estimation model of the plateau lake region comprises the following steps:
Inputting a time sequence value of a future time sequence into a static carbon fixation force time sequence estimation model, and outputting static carbon fixation force of a plateau lake sample area at the future time sequence by the static carbon fixation force time sequence estimation model;
and multiplying the static carbon fixation force of the plateau lake sample region at the future time sequence by the compression ratio to obtain the static carbon fixation force of the plateau lake region at the future time sequence.
5. The method for calculating the carbon neutralization of the plateau lake region based on the carbon balance analysis according to claim 3 or 4, wherein the method comprises the following steps: calculating the static carbon fixation amount of the plateau lake region at the future time sequence based on the static carbon fixation force at the future time sequence, wherein the method comprises the following steps:
integrating all the static carbon fixation forces at the future time sequence based on the time sequence to obtain static carbon fixation quantity of the plateau lake region at the future time sequence, wherein the calculation formula of the static carbon fixation quantity is as follows:
wherein S is n Characterized by the nth future time sequence t n The static carbon at the location is fixed in quantity,characterized by the jth future time t j Static fixation at the locationCarbon force, n is the total number of future time sequences, t j 、t j+1 The method is characterized by j and j+1 future time sequences, wherein j is a metering constant and has no substantial meaning.
6. A method for calculating carbon neutralization in a plateau lake region based on carbon balance analysis as recited in claim 3, wherein: the method for estimating the static carbon removal force of the plateau lake region at the future time sequence by using a sample estimation method according to a static carbon removal force time sequence estimation model of the plateau lake sample region comprises the following steps:
Inputting a time sequence value of a future time sequence into a static carbon removal force time sequence estimation model, and outputting static carbon removal force of a plateau lake sample area at the future time sequence by the static carbon removal force time sequence estimation model;
and multiplying the static carbon removal force of the plateau lake sample region at the future time sequence by the compression ratio to obtain the static carbon removal force of the plateau lake region at the future time sequence.
7. The method for calculating carbon neutral in an elevated lake region based on carbon balance analysis according to claim 4, wherein the calculating based on the static carbon discharge force at the future time sequence obtains the static carbon discharge amount of the elevated lake region at the future time sequence, comprising:
integrating all the static carbon discharge forces at the future time sequence based on the time sequence to obtain the static carbon discharge amount of the plateau lake region at the future time sequence, wherein the calculation formula of the static carbon discharge amount is as follows:
in which Q n Characterized by the nth future time sequence t n The static carbon emission amount at the location,characterized by the jth future time t j Static carbon removal force at the position, n isTotal number of future timings, t j 、t j+1 The method is characterized by j and j+1 future time sequences, wherein j is a metering constant and has no substantial meaning.
8. The method for calculating carbon neutralization of a plateau lake region based on carbon balance analysis according to claim 2, wherein the calculating according to the unknown amounts of dynamic carbon discharge force and dynamic carbon fixation force to obtain the unknown amounts of dynamic carbon discharge amount and dynamic carbon fixation amount of the plateau lake region at the future time sequence, and the calculating again to obtain the unknown amounts of total carbon discharge amount and total carbon fixation amount of the plateau lake region at the future time sequence comprises:
Integrating the unknown quantity of the dynamic carbon fixation force at all future time sequences based on the time sequences to obtain the unknown quantity of the dynamic carbon fixation quantity of the plateau lake region at the future time sequences, wherein the calculation formula of the unknown quantity of the dynamic carbon fixation quantity is as follows:
wherein s is n Characterized by the nth future time sequence t n An unknown amount of dynamic carbon fixation at the site,characterized by the jth future time t j An unknown amount of dynamic carbon fixation force at the point, H, is characterized by a compression ratio;
integrating the unknown quantity of the dynamic carbon removal force at all future time sequences based on the time sequences to obtain the unknown quantity of the dynamic carbon emission of the plateau lake region at the future time sequences, wherein the calculation formula of the unknown quantity of the dynamic carbon emission is as follows:
wherein q is n Characterized by the nth future time sequence t n An unknown amount of dynamic carbon emissions at the location,characterized by the jth future time t j Unknown amount of dynamic carbon removal force at the location;
the calculation formula of the unknown quantity of the total carbon fixed quantity of the plateau lake region at the future time sequence is as follows:
S＝s n +S n ；
where S is characterized by the nth future time t n An unknown amount of total carbon fixed amount at;
the calculation formula of the unknown quantity of the total carbon emission of the plateau lake region at the future time sequence is as follows:
Q＝q n +Q n ；
Where Q is characterized by the nth future time t n An unknown amount of total carbon emissions at the site;
the dynamic carbon fixation force is characterized by the carbon removal force of an ecosystem added for the plateau lake sample area manually, and the dynamic carbon removal force is characterized by the carbon removal force of an ecosystem added for the plateau lake sample area manually.
9. The method for calculating the carbon neutral in the area of the plateau lake based on the carbon balance analysis according to claim 2, wherein the minimizing the unknown amount of the total carbon allowance at the future time sequence to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown amount to the known amount includes:
the unknown quantity of the total carbon allowance is equal to the difference between the unknown quantity of the total carbon fixed quantity of the plateau lake region at the future time sequence and the unknown quantity of the total carbon emission quantity of the plateau lake region at the future time sequence, and the calculation formula of the unknown quantity of the total carbon allowance is as follows:
ΔC＝S-Q；
and carrying out minimum solution on the unknown quantity delta C of the total carbon allowance to obtain the determined values of the dynamic carbon removal force and the dynamic carbon fixation force so as to change the dynamic carbon removal force and the dynamic carbon fixation force from the unknown quantity to the known quantity.
10. The method for calculating carbon neutralization in a plateau lake region based on carbon balance analysis according to claim 2, wherein the converting the known amounts of dynamic carbon removal force and dynamic carbon fixation force into planned addition amounts of carbon removal elements and carbon fixation elements of an ecosystem of the plateau lake region comprises:
Converting the known amounts of the dynamic carbon removal force and the dynamic carbon fixation force into planned addition amounts of carbon removal elements and carbon fixation elements of an ecological system in a plateau lake sample area;
and multiplying the planned addition amounts of carbon-removing elements and carbon-fixing elements of the ecosystem of the plateau lake sample area by the compression ratio to obtain the planned addition amounts of carbon-removing elements and carbon-fixing elements of the ecosystem of the plateau lake area.
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