A carbon accounting method for urban land and related system

Abstract

The present invention designs a carbon accounting method for urban plots and a related system. Based on the conversion relationship between land area, plot ratio, number of employees, per capita building area of ​​each industry and the optimal allocation matrix, the objective function of land use and number of employees of each industry is constructed to obtain the optimal allocation matrix of land use and number of employees of each industry. The optimal allocation ratio matrix is ​​converted into the optimal allocation ratio table of land use for each industry, and then the carbon emissions of land use for each industry are obtained; then the carbon emissions of road land, residential land, and public green land carbon sinks are obtained respectively, and then the total carbon emissions of urban plots are obtained. Compared with the traditional accounting method, the urban plot carbon emission method of the present invention has more specific accounting factors, clear classification of results, convenience and efficiency, and has wide applicability.

Description

Technical Field

[0001] The present invention relates to a carbon accounting method for urban land and a related system, belonging to the technical field of carbon accounting. Background Art

[0002] Carbon accounting is a measure of direct and indirect emissions of carbon dioxide and its equivalent gases from industrial activities to the Earth's biosphere. It refers to a series of activities in which emission-related enterprises collect, count and record data on carbon emission-related parameters in accordance with monitoring plans, and calculate and accumulate all emission-related data. How to achieve accurate classification and accounting of carbon emissions in urban areas has become a technical problem that current technicians need to solve urgently.

[0003] Chinese patent CN202110954979.6 discloses a fine-scale determination method and device based on energy consumption carbon emissions, which determines the carbon emission value of residential areas based on energy consumption statistics and mobile terminal signaling data; the energy consumption statistics include energy consumption data of residential areas; based on energy consumption statistics and geographic information points of interest, the carbon emission values ​​of regional infrastructure points and industrial and commercial points are determined; based on the carbon emission values ​​of residential areas, regional infrastructure points and industrial and commercial points, they are classified and summarized according to urban functional area units to obtain the corresponding energy consumption carbon emission values ​​of the target area; the target area includes at least one of the urban functional area units. It determines the carbon emissions of different areas of the city by fusion of multi-source data, realizes the fine-grained estimation of indirect carbon emissions based on energy consumption, and improves the estimation accuracy and efficiency of energy consumption carbon emissions. Summary of the invention

[0004] Purpose of the invention: In order to obtain the total carbon emissions of urban plots efficiently and conveniently, the present invention provides a carbon accounting method for urban plots.

[0005] Technical solution: To achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A carbon accounting method for urban plots includes the following steps:

[0007] Step 1, obtain the land area, floor area ratio, number of employees, and per capita building area of ​​each industry of the urban land to be calculated, and construct the objective function of land use and employment in each industry based on the conversion relationship between land area, floor area ratio, number of employees, per capita building area in each industry and the optimal allocation matrix. The optimal allocation matrix of land use and employment in each industry is obtained through the objective function of land use and employment in each industry, and then the optimal allocation matrix of land use and employment in each industry is converted into an optimal allocation ratio table of land use and employment in each industry. The carbon emissions of land use in each industry are calculated according to the optimal allocation ratio table of land use and employment in each industry.

[0008] Step 2: Obtain the local equivalent automobile carbon emissions of municipal roads in the urban plot to be calculated, the road traffic volume per unit length in the calculation area, and the road greening carbon sink. Obtain the municipal road carbon emissions based on the local equivalent automobile carbon emissions of municipal roads and the road traffic volume per unit length in the calculation area. Obtain the road land carbon emissions based on the municipal road carbon emissions and the road greening carbon sink.

[0009] Step 3, obtain the residential carbon emissions, human respiration carbon emissions and community green space carbon sinks of the urban land to be calculated, and obtain the residential land carbon emissions based on the residential carbon emissions, human respiration carbon emissions and community green space carbon sinks.

[0010] Step 4, obtain the green space carbon sink and water body carbon sink of the urban land to be calculated, and obtain the public green space carbon sink based on the green space carbon sink and water body carbon sink.

[0011] Step 5: Obtain the total carbon emissions of urban land according to the carbon emissions of land used by various industries, carbon emissions of road land, carbon emissions of residential land, and carbon sinks of public green land.

[0012] The optimal objective function of land use and employment in each industry is:

[0013] ;

[0014] in, is the objective function value, The land area for each industry, The plot ratio of land used by various industries, is the number of land use types for each industry, is the number of industry types, is the number of people employed in each land type, is the optimal allocation matrix of land use and employment in each industry. Line Column elements, For each industry building area, The number of people employed in each industry.

[0015] Preferably, the carbon emissions of land used by each industry are:

[0016] ;

[0017] in, ;

[0018] In the formula, Carbon emissions from land use in various industries, is the number of industry types, is the number of land use types for each industry, The optimal allocation ratio table for land use in each industry is as follows: is the number of people employed in each land type, is the sum of each column of the optimal land allocation ratio table for each industry, is the annual per capita carbon emissions of each industry in the region, It is the green area of ​​land used by various industries. is the green space carbon sink coefficient, The land area for each industry, The plot ratio of land used by various industries, is the per capita building area of ​​each land type.

[0019] Preferably, the method for converting the optimal allocation matrix of land and employment in each industry into an optimal allocation ratio table of land and employment in each industry is as follows: the optimal allocation ratio of land and employment in each industry is obtained by dividing the element in the optimal allocation matrix of land and employment in each industry by the sum of the elements in the row where the element is located, and the optimal allocation ratio table of land and employment in each industry is obtained through the optimal allocation ratio of land and employment in each industry.

[0020] Preferably, there are two methods for obtaining the optimal allocation ratio table of land use and employment in each industry, which are respectively recorded as method 1 and method 2. Method 1 includes the following steps:

[0021] Step 111, set the calculation parameters and constraints of the global optimal algorithm, use the global optimal algorithm to solve the objective function of land use and employment in each industry, obtain the fval value of the global optimal solution and observe the initial x0 value.

[0022] Step 112, set the calculation parameters and constraints of the local optimal algorithm, assign the initial x0 value obtained in step 111 to the local optimal algorithm, further converge the calculation to solve the objective function, and obtain the fval value of the local optimal solution and the unique optimal allocation matrix of land use and employment in each industry .

[0023] Step 113: Optimal allocation matrix of land use and employment for each industry Normalization processing, setting The sum of each row is 100%, and the optimal allocation matrix of land use and employment in each industry is Transformed into the optimal allocation ratio table of land use and employment in each industry .

[0024] Method 2 includes the following steps:

[0025] Step 121, set the calculation parameters and constraints of the local optimal algorithm, set the initial x0 to 0.01 as the step size, traverse all values ​​0-1, and output a set of optimal allocation matrices of land use and employment in each industry with the smallest local fval value The optimal solution and the corresponding initial x0 value.

[0026] Step 122: Optimal allocation matrix of land use and employment for each industry Normalization processing, setting The sum of each row is 100%, and the optimal allocation matrix of land use and employment in each industry is Transformed into the optimal allocation ratio table of land use and employment in each industry .

[0027] Preferably, the carbon emissions of road land are:

[0028] ;

[0029] in, is the carbon emission of road land, is the road greening area, is the green space carbon sink coefficient, is the traffic carbon emission per unit length of a certain type of road in the planning area, It is the length of the road of the corresponding type in the planning area.

[0030] It can be obtained by multiplying the actual two-way traffic capacity of the corresponding type of road, the equivalent carbon emissions of a car, the actual carbon emissions per kilometer of road hour, the peak hour carbon emission coefficient and the number of days per year.

[0031] Preferably, the local equivalent car carbon emissions are:

[0032] ;

[0033] in, is the local equivalent car carbon emissions, is the proportion of local fuel-powered cars, is the proportion of local electric cars, is the fuel consumption per 100 kilometers of a fuel-powered car, is the density of fuel, is the carbon emission factor, The power consumption per 100 kilometers is is the average carbon emission factor of the regional power grid.

[0034] Preferably, the carbon emissions of residential land are:

[0035] ;

[0036] in, represents the carbon emissions of residential land, represents the carbon emissions per capita from daily consumption, represents the number of permanent residents, represents the per capita carbon emissions from breathing, represents the green area of ​​residential land, Represents the green space carbon sequestration coefficient.

[0037] Preferably, the carbon sequestration of public green space is:

[0038] ;

[0039] in, is the carbon sink of public green space, It is the green area of ​​public green space. is the green space carbon sink coefficient, is the water body area, is the water carbon sink coefficient.

[0040] Another object of the present invention is to provide an urban land carbon accounting system, which adopts the urban land carbon accounting method, including an input unit, a carbon accounting unit for land used in various industries, a carbon accounting unit for road land, a carbon accounting unit for residential land, a carbon accounting unit for public green space, and a total carbon emission unit, wherein:

[0041] The input unit is used to input the land area, plot ratio, number of employees, per capita building area of ​​each industry, local equivalent automobile carbon emissions of municipal roads, road traffic per unit length in the calculation area, road greening carbon sink, residential carbon emissions, human respiration carbon emissions, community green space carbon sink, green space carbon sink and water body carbon sink of the urban land parcel to be calculated;

[0042] The carbon accounting unit for land use in each industry is used to construct an objective function of land use and employment in each industry based on the conversion relationship between land area, plot ratio, number of employees, per capita building area in each industry and the optimal allocation matrix, and obtain the optimal allocation matrix of land use and employment in each industry through the objective function of land use and employment in each industry, and then convert the optimal allocation matrix of land use and employment in each industry into an optimal allocation ratio table of land use and employment in each industry, and calculate the carbon emissions of land use in each industry according to the optimal allocation ratio table of land use and employment in each industry;

[0043] The road land carbon accounting unit is used to obtain the municipal road carbon emissions based on the local equivalent car carbon emissions of the municipal road and the road traffic per unit length in the accounting area, and to obtain the road land carbon emissions based on the municipal road carbon emissions and the road greening carbon sink;

[0044] The residential land carbon accounting unit is used to obtain the residential land carbon emissions based on the residential life carbon emissions, human breathing carbon emissions and the carbon sink of the community green space;

[0045] The public green space carbon accounting unit is used to obtain the public green space carbon sink amount based on the green space carbon sink and the water body carbon sink;

[0046] The total carbon emission unit is used to obtain the total carbon emission of urban land according to the carbon emission of land used by various industries, carbon emission of road land, carbon emission of residential land, and carbon sink of public green land.

[0047] Another object of the present invention is to provide an electronic device, comprising: at least one processor, at least one memory and a communication interface. The processor, memory and communication interface communicate with each other. The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the urban land carbon accounting method.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention obtains the optimal allocation matrix of land use and the number of employees in each industry through the objective function of land use and the number of employees in each industry, obtains the optimal allocation ratio table of land use and the number of employees in each industry according to the optimal allocation ratio of land use and the number of employees in each industry, and obtains the carbon emissions of land use in each industry according to the optimal allocation ratio table of land use and the number of employees in each industry.

[0050] Through the objective function of land use and employment in each industry, an accurate optimal allocation matrix for land use in each industry is obtained, and the optimal allocation ratio table is obtained through the optimal allocation matrix, and then the accurate carbon emissions of land use in each industry are obtained, thereby obtaining the total carbon emissions of urban plots with clear classification. Therefore, the total carbon emissions calculation result of urban plots of the present invention has high accuracy and stronger reliability, can highlight the regional differences in carbon emissions, and the calculation process is convenient and efficient. In addition, the invention of this method is helpful for the fine classification of carbon emissions in urban areas and the control of regional carbon emission standards, especially with the support of the national land space planning big data platform, the classification assessment of carbon emissions in urban areas, timely supervision, and fixed-point monitoring have played a key supporting role. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of an embodiment of the present invention.

[0052] Figure 2 A flow chart of the method for obtaining the optimal allocation ratio table of land use and employment in each industry.

[0053] Figure 3 Flowchart of method 2 for obtaining the optimal allocation ratio table of land use and employment in each industry. DETAILED DESCRIPTION

[0054] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not used to limit the scope of the present invention. After reading the present invention, various equivalent forms of modifications to the present invention by those skilled in the art all fall within the scope defined by the claims attached to this application.

[0055] A carbon accounting method for urban plots, such as Figure 1 As shown, the following steps are included:

[0056] Step 1: Carbon accounting of supporting facilities land

[0057] Since supporting facilities have diverse functions and do not have a one-to-one correspondence with land use types, carbon accounting is extremely difficult. This embodiment regards urban land as a valuable resource. The rational allocation of resources must follow the market law of maximizing economic benefits. The optimal algorithm is the key to revealing and grasping this law. Therefore, this embodiment first uses the optimal algorithm to deduce the optimal allocation ratio of employment in each industry to land use, and then combines relevant data to obtain the carbon accounting of supporting facilities land.

[0058] Step 1.1, optimal algorithm related data

[0059] (1) Annual per capita carbon emissions by industry

[0060] In this embodiment, it can be obtained from the planning statistical data of Beijing area, and the energy consumption of each industry in the calculation year is divided by the number of employees in the corresponding industry.

[0061] (2) Per capita building area of ​​each industry in Beijing

[0062] In this embodiment, it can be obtained from relevant references. In general areas, it can be obtained from the ratio of the total non-residential building area to the number of employees in the corresponding industry in the corresponding local statistical data.

[0063] (3) Total land area of ​​each industry, average plot ratio, average annual employment of each industry, and number of employees of each land

[0064] In this embodiment, the total land area of ​​the industry can be obtained from the "Detailed Control Plan for the Capital Function Core Area (Block Level) (2018-2035)", and general regional data can come from its relevant planning data or land space survey data.

[0065] In this embodiment, the average floor area ratio is obtained by the ratio of the total building area to the total land area.

[0066] The annual average number of employees in each industry in this example comes from the "Beijing Statistical Yearbook 2023" (2022 data) on the website of the Beijing Municipal Bureau of Statistics.

[0067] In this embodiment, the number of people employed in each land is roughly classified and calculated based on the number of people employed in each industry on the website of the Beijing Statistics Bureau according to the corresponding land use type in this example. The number of people here is only a preliminary estimate. During the calculation of the objective function, it will be reallocated according to the restrictions of the specific land management industry, which will not have a substantial impact on the optimal allocation ratio of industry-land employment population.

[0068] Step 1.2, optimal algorithm objective function

[0069] In order to accurately calculate the industry-land employment population optimal allocation ratio matrix, this embodiment constructs the objective function of the optimal algorithm based on the conversion relationship between land area, volume ratio, number of employees, per capita building area of ​​each industry and the optimal allocation ratio matrix. In this function, the optimal allocation ratio matrix is ​​set as , where i represents industry type and j represents land type. In mathematical form, In this embodiment, it is represented as a 16×6 matrix.

[0070] First, clarify the relevant mathematical relationship:

[0071] ;

[0072] In the formula, is the land area; is the building area; FAR is the floor area ratio; The number of employed people.

[0073] ;

[0074] In the formula, The number of people employed in each industry; is the number of people employed in each land type; is the transpose of the industry-land optimal allocation ratio matrix.

[0075] ;

[0076] In the formula, is the per capita building area of ​​each industry; The building area for each industry; The number of people employed in each industry.

[0077] Secondly, construct the objective function to obtain Optimal solution:

[0078] Based on the conversion relationship between land area, floor area ratio, number of employees, per capita building area of ​​each industry and the optimal allocation ratio, the objective function of land use and number of employees in each industry is constructed. The optimal allocation matrix of land use and number of employees in each industry is obtained through the objective function of land use and number of employees in each industry. The optimal allocation matrix of land use and number of employees in each industry is then converted into an optimal allocation ratio table of land use and number of employees in each industry. According to the optimal allocation ratio table of land use in each industry, the carbon emissions of land in each industry are obtained.

[0079] However, here The matrix only represents the proportional distribution relationship in a mathematical sense, and does not represent the physical quantity in the actual application process, so it needs to be further processed. The sum of each row of is equal to 100%, and according to the proportional relationship of the matrix data, Matrix conversion into optimal allocation ratio table , which is applied to the subsequent calculation formula. Specifically, the method of converting the optimal allocation matrix of land use and employment number of each industry into the optimal allocation ratio table of land use and employment number of each industry is as follows: The optimal allocation ratio of land use and employment number of each industry is obtained by dividing the element in the optimal allocation matrix of land use and employment number of each industry by the sum of the elements in the row where the element is located. .

[0080] Objective function of land use and employment in each industry:

[0081] ;

[0082] in, is the objective function value; The land area for each industry, is the floor area ratio of each industry, j=1,2,……,n, is the number of industry land types, n≤7 (n=6 in this embodiment); i=1,2,…,m, m is the number of industry types, m≤17 (according to the current industry standard classification, the major categories are divided into 17 categories in total. Since the industry in this embodiment does not involve the primary industry, =16); is the number of people employed in each land type; Optimal land allocation matrix for each industry; The building area for each industry; The number of people employed in each industry.

[0083] There are two methods to obtain the optimal allocation ratio table of land use and employment in each industry, which are respectively recorded as method 1 and method 2. Figure 2 As shown, method 1 includes the following steps:

[0084] First use the global optimal algorithm, then use the local optimal algorithm:

[0085] Step 111, set the calculation parameters and constraints of the global optimal algorithm, use the global optimal algorithm to solve the objective function of land use and employment in each industry, obtain the fval value of the global optimal solution and observe the initial x0 value.

[0086] Step 112, set the calculation parameters and constraints of the local optimal algorithm, assign the initial x0 value obtained in step 111 to the local optimal algorithm, further converge the calculation to solve the objective function, and obtain the fval value of the local optimal solution and the unique optimal allocation matrix of land use and employment in each industry .

[0087] Step 113: Optimal allocation matrix of land use and employment for each industry Normalization processing, setting The sum of each row is 100%, and the optimal allocation matrix is ​​converted into an optimal allocation ratio table of land use and employment in each industry. .

[0088] The calculation of the objective function is completed on MATLAB (R2024a academic version). Using the global optimal algorithm and the local optimal algorithm, the results show that although the global optimal algorithm can output the value of fval=0, its results are diverse, which means that there are multiple combinations of optimal solutions. After judgment, the initial value is generally close to 0.24, which means that there are multiple global optimal solutions of the function at x0=0.24. Therefore, this embodiment first uses the global optimal algorithm to preliminarily determine the value of x0, and then assigns x0=0.24 as the initial value of the local optimal function for further convergence calculations. The final fval value and the only optimal solution are obtained through the local optimal algorithm. Matrix. Further, Matrix normalization processing to obtain the optimal allocation ratio table After verification, the calculated total building area is consistent with the actual total building area value, indicating that the optimal solution is in line with expectations.

[0089] like Figure 3 As shown, method 2 includes the following steps:

[0090] Mainly use the local optimal algorithm:

[0091] Step 121, set the calculation parameters and constraints of the local optimal algorithm, set the initial x0 to 0.01 as the step size, traverse all values ​​0-1, and output a set of optimal allocation matrices of land use and employment in each industry with the smallest local fval value The optimal solution and the corresponding initial x0 value.

[0092] Step 122: Optimal allocation matrix of land use and employment for each industry Normalization processing, setting The sum of each row is 100%, and the optimal allocation matrix of land use and employment in each industry is Transformed into the optimal allocation ratio table of land use and employment in each industry .

[0093] Step 1.3, Carbon accounting formula

[0094] The value of calculating the industry-land optimal allocation ratio matrix lies in that the more mature the market system, the more obvious the characteristics of market economy maximization are, thus making The more accurate it is, the more we can assume that in a mature market system is a stable value. At the same time, the per capita building area of ​​each industry ( ), per capita building area of ​​each land type ( ) has also basically stabilized under the influence of the market economy. , At a fixed value, , , According to the local data, a carbon accounting formula for land use in various industries that is universal and reflects local characteristics can be formed:

[0095] ;

[0096] in, ;

[0097] In the formula, Carbon emissions from land use in various industries, is the number of land use types for each industry, is the number of industry types, is the number of people employed in each land type, The optimal allocation ratio table for land use in various industries; is the sum of each column of the optimal land allocation ratio table for each industry, is the per capita carbon emissions of each industry in the region, It is the green area in the industrial land. is the green space carbon sequestration coefficient. The land area for each industry, The plot ratio of land used by various industries, It is the per capita building area of ​​land use type for each industry.

[0098] Here, two calculation formulas are provided for carbon emissions from land use in various industries. The purpose is to selectively use them according to different known conditions. If the total number of employees in each type of land use in the planning area is known, the first formula can be used directly for accounting. If the number of employees in each type of land use in various industries is unknown, but the area and plot ratio of the land use in various industries are known, the second formula can be combined to calculate the number of employees in each type of land use in various industries, and then the first formula can be used for carbon accounting.

[0099] Step 2: Carbon accounting for road land

[0100] The carbon accounting of road land mainly includes the carbon sink of road greening and the carbon emission of traffic space. Since rail transit belongs to regional transportation, it should be accounted at the overall scale, so it is not included in this embodiment. At the same time, non-motorized vehicles, bicycles and land soil have little impact on carbon accounting, so they are ignored in this embodiment. First calculate the carbon emissions of local equivalent cars, and then calculate the carbon emissions of road land.

[0101] Step 2.1 Local equivalent car carbon emissions

[0102] This embodiment calculates carbon emissions according to the road type and road load, and converts various types of gasoline and electric vehicles on urban municipal roads into equivalent cars, thus greatly simplifying the complex process of calculating each type separately. It can be obtained by multiplying the actual two-way traffic capacity of the corresponding type of road, the equivalent carbon emissions of a car, the actual carbon emissions per kilometer of road per hour, the peak hour carbon emission coefficient, and the number of days per year. In this embodiment, the carbon emissions of an equivalent car are calculated based on the current ratio of gasoline and electric vehicles in Beijing, which is about 75%:25%. The calculation formula is as follows:

[0103] ;

[0104] in, is the carbon emission of an equivalent car; The fuel consumption per 100 kilometers of a fuel-powered car; is the fuel density; is the carbon emission factor; The power consumption per 100 km; is the average carbon emission factor of the regional power grid.

[0105] Step 2.2 Carbon emissions from road use

[0106] In terms of calculation method, road greening carbon sink = road space greening area × carbon sink coefficient. Urban road space carbon emissions = carbon emissions per unit length of each type of road in the planning area × length of the corresponding type of road. Therefore, the carbon emissions of road land are obtained based on the road greening carbon sink and traffic space carbon emissions. The calculation formula is as follows:

[0107] ;

[0108] in, Carbon emissions for road land; The green area of ​​the road is calculated based on a certain ratio of greening to the road area. The boundary road is calculated as 1 / 2 of its area. represents the carbon sink coefficient; It is the annual traffic carbon emissions per unit length of a certain type of road in the planning area, where the road types include trunk roads, secondary trunk roads, branch roads, and sometimes expressways. It is calculated by multiplying the actual two-way traffic capacity of the corresponding type of road, the equivalent carbon emissions of a car, the actual carbon emissions per kilometer of road per hour, the peak hour carbon emission coefficient and the number of days per year. It is the length of the corresponding type of road in the planning area, and the boundary roads are calculated as 1 / 2 of its length.

[0109] Step 3: Carbon accounting for residential land

[0110] The inventory method is used to classify the carbon accounting content of residential land, including three aspects: residential carbon emissions, human respiration carbon emissions and community green space carbon sinks. Residential carbon emissions = per capita carbon emissions from living consumption × number of permanent residents. Human respiration carbon emissions = per capita respiration carbon emissions × number of permanent residents. Community green space carbon sink = community green space area × carbon sink coefficient. Based on residential carbon emissions, human respiration carbon emissions and community green space carbon sinks, the carbon emissions of residential land are calculated as follows:

[0111] ;

[0112] in, is the carbon emissions from residential land use; is the carbon emission per capita from daily consumption; Take the per capita carbon emission value of living consumption in the corresponding calculation year; It indicates the number of permanent residents, or the number of permanent residents in the planning area in the detailed plan; represents the carbon emissions per capita from breathing; It represents the green area of ​​the community, which can be obtained by multiplying the residential land area and the greening rate; Represents the carbon sink coefficient.

[0113] Step 4: Carbon accounting of public green spaces

[0114] The content of public green space carbon accounting is mainly carbon sink, which includes green space carbon sink and water body carbon sink. In terms of accounting method, the area is multiplied by the carbon coefficient, and the carbon sink coefficient takes a negative value. Public green space carbon accounting = green space area × carbon sink coefficient + water body area × carbon sink coefficient. Therefore, the public green space carbon sink is obtained based on the green space carbon sink and water body carbon sink. The calculation formula is as follows:

[0115] ;

[0116] in, is the carbon sequestration of public green space; It is the green area of ​​the public green space, excluding the water area and ignoring the hard paved area. If the hard paved area accounts for a large proportion, it can be multiplied in proportion; is the green space carbon sequestration coefficient; is the water body area; is the water carbon sink coefficient.

[0117] Step 5: Obtain the total carbon emissions of urban land according to the carbon emissions of land used by various industries, carbon emissions of road land, carbon emissions of residential land, and carbon sinks of public green land.

[0118] In another embodiment, a carbon accounting system for urban plots is provided, which adopts the carbon accounting method for urban plots, including an input unit, a carbon accounting unit for land used for various industries, a carbon accounting unit for road land, a carbon accounting unit for residential land, a carbon accounting unit for public green space, and a total carbon emission unit, wherein:

[0119] The input unit is used to input the land area, floor area ratio, number of employees, per capita building area of ​​each industry, local equivalent automobile carbon emissions of municipal roads, road traffic per unit length in the calculation area, residential carbon emissions, human breathing carbon emissions, community green space carbon sinks, green space carbon sinks and water body carbon sinks of the urban land to be calculated.

[0120] The carbon accounting unit for land use in each industry is used to construct an objective function of land use and the number of employees in each industry based on the conversion relationship between land area, floor area ratio, number of employees, per capita building area in each industry and the optimal allocation matrix, and obtain the optimal allocation matrix of land use and the number of employees in each industry through the objective function of land use and the number of employees in each industry. The optimal allocation matrix of land use and the number of employees in each industry is then converted into an optimal allocation ratio table of land use and the number of employees in each industry, and the carbon emissions of land use in each industry are calculated according to the optimal allocation ratio table of land use and the number of employees in each industry.

[0121] The road land carbon accounting unit is used to obtain the municipal road carbon emissions based on the local equivalent car carbon emissions of the municipal roads and the road traffic per unit length in the accounting area, and to obtain the road land carbon emissions based on the municipal road carbon emissions and the road greening carbon sinks.

[0122] The residential land carbon accounting unit is used to obtain the residential land carbon emissions based on the residential life carbon emissions, human breathing carbon emissions and the carbon sink of community green space.

[0123] The public green space carbon accounting unit is used to obtain the public green space carbon sink amount based on the green space carbon sink and the water body carbon sink.

[0124] The total carbon emission unit is used to obtain the total carbon emission of urban land according to the carbon emission of land used by various industries, carbon emission of road land, carbon emission of residential land, and carbon sink of public green land.

[0125] In another embodiment, an electronic device is provided, comprising: at least one processor, at least one memory and a communication interface. The processor, the memory and the communication interface communicate with each other. The memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the urban land parcel carbon accounting method.

[0126] Case verification.

[0127] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for carbon accounting of urban plots, characterized in that: The following steps are involved: Step 1: Based on the conversion relationship between land area, plot ratio, number of employees, per capita building area of ​​each industry and the optimal allocation matrix, the objective function of land use and employment of each industry is constructed. The optimal allocation matrix of land use and employment of each industry is obtained through the objective function of land use and employment of each industry. Then, the optimal allocation matrix of land use and employment of each industry is converted into the optimal allocation ratio table of land use and employment of each industry. The carbon emissions of land use of each industry are calculated according to the optimal allocation ratio table of land use and employment of each industry. The objective function of land use and employment of each industry is: ； in, is the objective function value, The land area for each industry, The plot ratio of land used by various industries, is the number of land use types for each industry, is the number of industry types, is the number of people employed in each land type, The optimal allocation matrix of land use and employment in each industry is: For each industry building area, is the number of employees in each industry; the carbon emissions from land use in each industry are: ； in, ; In the formula, Carbon emissions from land use in various industries, is the number of industry types, is the number of land use types for each industry, The optimal allocation ratio table for land use in each industry is as follows: is the number of people employed in each land type, is the sum of each column of the optimal land allocation ratio table for each industry, is the annual per capita carbon emissions of each industry in the region, It is the green area of ​​land used by various industries. is the green space carbon sink coefficient, The land area for each industry, The plot ratio of land used by various industries, is the per capita building area of ​​each land type; Step 2: derive the municipal road carbon emissions based on the local equivalent car carbon emissions and the road traffic per unit length in the accounting area, and obtain the road land carbon emissions based on the municipal road carbon emissions and road greening carbon sinks; Step 3, obtain the carbon emissions of residential land based on the carbon emissions of residential life, carbon emissions of human breathing and carbon sinks of community green space; Step 4, obtaining the carbon sink of public green space based on the carbon sink of green space and water body; Step 5: Obtain the total carbon emissions of urban land according to the carbon emissions of land used by various industries, carbon emissions of road land, carbon emissions of residential land, and carbon sinks of public green land.

2. The urban land carbon accounting method according to claim 1 is characterized in that: The method for converting the optimal allocation matrix of land use and employment number for each industry into the optimal allocation ratio table of land use and employment number for each industry is as follows: the optimal allocation ratio of land use and employment number for each industry is obtained by dividing the element in the optimal allocation matrix of land use and employment number for each industry by the sum of the elements in the row where the element is located.

3. The urban land carbon accounting method according to claim 2 is characterized in that: There are two methods to obtain the optimal allocation ratio table of land use and employment in each industry, which are respectively recorded as method 1 and method 2. Method 1 includes the following steps: Step 111, setting the calculation parameters and constraints of the global optimal algorithm, using the global optimal algorithm to solve the objective function of land use and employment in each industry, obtaining the fval value of the global optimal solution and observing the initial x0 value; Step 112, set the calculation parameters and constraints of the local optimal algorithm, assign the initial x0 value obtained in step 111 to the local optimal algorithm, further converge the calculation to solve the objective function, and obtain the fval value of the local optimal solution and the unique optimal allocation matrix of land use and employment in each industry ; Step 113: Optimal allocation matrix of land use and employment for each industry Normalization processing, setting The sum of each row is 100%, and the optimal allocation matrix of land use and employment in each industry is Transformed into the optimal allocation ratio table of land use and employment in each industry ; Method 2 includes the following steps: Step 121, set the calculation parameters and constraints of the local optimal algorithm, set the initial x0 to 0.01 as the step size, traverse all values ​​0-1, and output a set of optimal allocation matrices of land use and employment in each industry with the smallest local fval value The optimal solution and the corresponding initial x0 value; Step 122: Optimal allocation matrix of land use and employment for each industry Normalization processing, setting The sum of each row is 100%, and the optimal allocation matrix of land use and employment in each industry is Transformed into the optimal allocation ratio table of land use and employment in each industry .

4. The urban land carbon accounting method according to claim 3 is characterized in that: The carbon emissions from road use are: ； in, is the carbon emission of road land, is the road greening area, is the green space carbon sink coefficient, is the traffic carbon emission per unit length of a certain type of road in the planning area, It is the length of the road of the corresponding type in the planning area.

5. The urban land carbon accounting method according to claim 4 is characterized in that: The local equivalent car carbon emissions are: ； in, is the local equivalent car carbon emissions, is the proportion of local fuel-powered cars, is the proportion of local electric cars, is the fuel consumption per 100 kilometers of a fuel-powered car, is the density of fuel, is the carbon emission factor, The power consumption per 100 kilometers is is the average carbon emission factor of the regional power grid; Carbon emissions from residential land are: ； in, represents the carbon emissions of residential land, represents the carbon emissions per capita from daily consumption, represents the number of permanent residents, represents the per capita carbon emissions from breathing, represents the green area of ​​residential land, Represents the green space carbon sequestration coefficient.

6. The urban land carbon accounting method according to claim 5 is characterized in that: The carbon sequestration of public green space is: ； in, is the carbon sink of public green space, is the green area of ​​public green space. is the green space carbon sink coefficient, is the water body area, is the water carbon sink coefficient.

7. An urban land carbon accounting system, characterized in that: The urban land carbon accounting method according to claim 1 is adopted, including carbon accounting units for land used by various industries, carbon accounting units for road land, carbon accounting units for residential land, carbon accounting units for public green land, and total carbon emission units, wherein: The carbon accounting unit for land use in each industry is used to construct an objective function of land use and employment in each industry based on the conversion relationship between land area, plot ratio, number of employees, per capita building area in each industry and the optimal allocation matrix, and obtain the optimal allocation matrix of land use and employment in each industry through the objective function of land use and employment in each industry, and then convert the optimal allocation matrix of land use and employment in each industry into an optimal allocation ratio table of land use and employment in each industry, and calculate the carbon emissions of land use in each industry according to the optimal allocation ratio table of land use and employment in each industry; The road land carbon accounting unit is used to obtain the municipal road carbon emissions based on the local equivalent car carbon emissions of the municipal road and the road traffic per unit length in the accounting area, and to obtain the road land carbon emissions based on the municipal road carbon emissions and the road greening carbon sink; The residential land carbon accounting unit is used to obtain the residential land carbon emissions based on the residential life carbon emissions, human breathing carbon emissions and the carbon sink of the community green space; The public green space carbon accounting unit is used to obtain the public green space carbon sink amount based on the green space carbon sink and the water body carbon sink; The total carbon emission unit is used to obtain the total carbon emission of urban land according to the carbon emission of land used by various industries, carbon emission of road land, carbon emission of residential land, and carbon sink of public green land.

8. An electronic device, characterized in that: include: at least one processor, at least one memory, and a communication interface; The processor, memory and communication interface communicate with each other; The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the urban land carbon accounting method according to any one of claims 1-6.

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