A multi-source heterogeneous big data-based multi-department nitrous oxide emission accounting method and system

Abstract

The application provides a multi-source heterogeneous big data-based multi-department nitrous oxide emission accounting method and system, which comprises the following steps: accounting the nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste treatment in a base year; calculating the monthly nitrous oxide emissions of fuel combustion emission sources in a target year, the monthly nitrous oxide emissions of industrial production emission sources in the target year, the monthly nitrous oxide emissions of agricultural activities emission sources in the target year and the monthly nitrous oxide emissions of waste treatment emission sources in the target year, and adding them to obtain the total nitrous oxide emissions in the target year. The application has the following advantages: the emission source accounting methods discussed in the application are consistent, the accounting boundary is clear and definite, and the accounting results have additivity and comparability; the method does not depend on traditional national statistical data, and solves the defects of unavailability, lag and absence of previous data; and the method fully reveals the spatial and temporal heterogeneity of different emission sources at the regional level.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of greenhouse gas emission accounting, and particularly relates to a multi-department nitrous oxide emission accounting method and system based on multi-source heterogeneous big data. BACKGROUND

[0002] Nitrous oxide (N2O) is the third largest greenhouse gas in the world, and its emission is second only to carbon dioxide and methane, accounting for 5% of the total greenhouse gas emissions caused by human activities. At the same time, its greenhouse effect is extremely significant, and its warming potential in 100 years is about 273 times that of carbon dioxide. Rapid and refined acquisition of nitrous oxide emission data plays a decisive role in formulating scientific and reasonable emission reduction measures and policies for each region and department.

[0003] Human activities produce nitrous oxide, including fuel combustion, industrial production, agricultural activities and waste disposal. However, current research focuses on a certain field, and there is a lack of consistent measurement of all-embracing human emission sources in terms of accounting methodology and accounting scope. The accounting process mainly relies on statistical data such as energy statistical yearbook, industrial statistical yearbook, agricultural statistical yearbook and urban statistical yearbook. However, statistical data often have a long lag, generally more than one and a half years, which leads to a significant lag of the accounting results of nitrous oxide emissions from the actual situation. The lag problem makes it difficult to effectively capture the impact of factors such as process technology update, production mode change, and establishment and removal of new and old enterprises on the total emission, so it is difficult to accurately reflect the real level and dynamic changes of nitrous oxide emissions. At the same time, the existing emission accounting method cannot accurately quantify the fine-grained spatial scale, such as the regional level, and usually only stays at the national macro level, which cannot fully reveal the characteristics of spatial heterogeneity.

[0004] Through the above analysis, the problems and defects of the prior art are:

[0005] (1) The existing emission accounting method mainly focuses on a single emission source. Due to the inconsistency of the accounting boundary, it is difficult to obtain the total emission by simple accumulation, and it is difficult to accurately reflect the overall emission level of nitrous oxide in all-embracing human emission sources.

[0006] (2) The existing emission accounting method relies on statistical data, and the calculation lag is long, usually in years, which makes it difficult to timely and quickly reflect the real level and dynamic changes of nitrous oxide emissions.

[0007] (3) The existing emission accounting method cannot accurately quantify the fine-grained spatial scale (such as the city level), and its accounting results are usually limited to the total emission at the national level, which makes it difficult to fully reveal the regional spatial emission heterogeneity. SUMMARY

[0008] The application aims to overcome the defects of inconsistent accounting boundaries, long calculation lag period and coarse quantization granularity.

[0009] To achieve the above-mentioned purpose, the application provides a multi-source heterogeneous big data-based multi-department nitrous oxide emission accounting method, which comprises the following steps:

[0010] Accounting for the nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste treatment in the base year;

[0011] Accounting for the monthly nitrous oxide emissions of fuel combustion emission sources in the target year:

[0012] According to the energy consumption of each department in each region in the base year and the target year, the total energy consumption is converted, and the monthly nitrous oxide emissions of fuel combustion emission sources in the target year are calculated according to the proportional relationship of monthly energy consumption data;

[0013] Accounting for the monthly nitrous oxide emissions of industrial production emission sources in the target year:

[0014] According to the nitrous oxide emissions of industrial production in each region in the base year, an emission coefficient matrix is established, and according to the functional relationship between the product output of adipic acid and nitric acid production enterprises and the online monitoring system nitrogen oxide emission data, the monthly nitrous oxide emissions of industrial production emission sources in the target year are calculated according to the change of online monitoring monthly nitrogen oxide emissions;

[0015] Accounting for the monthly nitrous oxide emissions of agricultural activity emission sources in the target year:

[0016] Based on the pig inventory, the monthly nitrous oxide emissions of pig species in the target year are calculated; according to the functional relationship between the feed yield of ruminant animals, egg poultry animals and equine animals and the total number of them at the end of the year, the monthly nitrous oxide emissions of ruminant animals, egg poultry animals and equine animals in each region in the target year are calculated; and the monthly nitrous oxide emissions of ruminant animals, egg poultry animals and equine animals in each region in the target year are added to obtain the monthly nitrous oxide emissions of livestock and poultry breeding manure management in the target year;

[0017] Based on the monthly nitrous oxide emissions of livestock and poultry breeding manure management in the target year, combined with the nitrogen element content of manure and the conversion coefficient of nitrous oxide emissions, the monthly nitrous oxide emissions of manure of livestock and poultry species on farmland in each region in the target year are calculated; according to the functional relationship between the monthly index of rural resident consumer price of the living type and the excretion nitrogen amount of rural population, the monthly nitrous oxide emissions caused by the excretion of rural population on farmland in each region in the target year are calculated; and the monthly nitrous oxide emissions of manure of livestock and poultry species on farmland in each region in the target year and the monthly nitrous oxide emissions caused by the excretion of rural population on farmland in each region in the target year are added to obtain the monthly nitrous oxide emissions of manure nitrogen input in each region in the target year;

[0018] Based on the functional relationship between the net amount of agricultural nitrogen, phosphorus and potassium fertilizer and the total output of nitrogen fertilizer and compound fertilizer, combined with the monthly net amount of agricultural nitrogen, phosphorus and potassium fertilizer, according to the proportional relationship between the monthly net amount of agricultural nitrogen, phosphorus and potassium fertilizer in the base year and the monthly net amount of agricultural nitrogen, phosphorus and potassium fertilizer in the target year, the monthly nitrous oxide emissions caused by nitrogen fertilizer and compound fertilizer application in the target year are calculated in each region;

[0019] Based on the monthly nitrous oxide emissions of agricultural land fertilization in the target year in each region, combined with the atmospheric nitrogen deposition parameters and the nitrous oxide conversion coefficient of atmospheric nitrogen deposition, the monthly indirect nitrous oxide emissions caused by atmospheric nitrogen deposition in the target year are calculated in each region;

[0020] According to the proportional relationship between the monthly net amount of agricultural nitrogen, phosphorus and potassium fertilizer in the target year and the monthly net amount of agricultural nitrogen, phosphorus and potassium fertilizer in the base year, combined with the leaching runoff nitrogen input parameters and the nitrous oxide conversion coefficient of leaching runoff, the monthly nitrous oxide emissions caused by leaching runoff in the target year are calculated in each region;

[0021] The monthly nitrous oxide emissions of the agricultural activity emission source in the target year are obtained by adding the monthly nitrous oxide emissions of livestock and poultry manure management in the target year, the monthly nitrous oxide emissions of manure nitrogen input in the target year in each region, the monthly nitrous oxide emissions caused by nitrogen fertilizer and compound fertilizer application in the target year in each region, the monthly indirect nitrous oxide emissions caused by atmospheric nitrogen deposition in the target year in each region and the monthly nitrous oxide emissions caused by leaching runoff in the target year in each region;

[0022] The monthly nitrous oxide emissions of the waste disposal emission source in the target year are calculated as follows:

[0023] Based on the monthly total nitrogen emissions of the online monitoring system of the regional sewage treatment plant, combined with the functional relationship between the sewage treatment capacity of the regional sewage treatment plant and the total nitrogen emissions of its online monitoring system, according to the proportional relationship between the total nitrogen emissions of the online monitoring system in the target year and the total nitrogen emissions of the online monitoring system in the base year, the nitrous oxide emissions of the sewage treatment plant in the target year are calculated;

[0024] Based on the monthly nitrogen oxide emissions of the online monitoring system of the regional waste incineration plant, combined with the functional relationship between the waste incineration capacity of the regional waste incineration plant and the nitrogen oxide emissions of its online monitoring system, according to the proportional relationship between the nitrogen oxide emissions of the online monitoring system in the target year and the nitrogen oxide emissions of the online monitoring system in the base year, the nitrous oxide emissions of the regional waste incineration plant in the target year are calculated;

[0025] The monthly nitrous oxide emissions of the waste disposal emission source in the target year are obtained by adding the nitrous oxide emissions of the sewage treatment plant in the target year and the nitrous oxide emissions of the regional waste incineration plant in the target year;

[0026] The total nitrous oxide emission in the target year is obtained by adding the monthly nitrous oxide emission of the fuel combustion emission source in the target year, the monthly nitrous oxide emission of the industrial production emission source in the target year, the monthly nitrous oxide emission of the agricultural activity emission source in the target year, and the monthly nitrous oxide emission of the waste disposal emission source in the target year.

[0027] As an improvement of the above method, the nitrous oxide emission of the fuel combustion in the base year is calculated, including:

[0028]

[0029] wherein, , , are the total consumption of coal, oil products, and natural gas in the base year i of the region; , , are the total consumption of coal, oil products, and natural gas in the base year i of the region; s of the department; , , are the corresponding nitrous oxide emission coefficients of the coal, oil products, and natural gas combustion; is the nitrous oxide emission of the fuel combustion in the base year i of the region.

[0030] As an improvement of the above method, the nitrous oxide emission of the industrial production in the base year is calculated, including:

[0031]

[0032] wherein, is the nitrous oxide emission of the industrial production in the base year i of the region; is the total product output of the enterprises in the base year i of the region; j under different production technologies of each industry; t is the nitrous oxide emission of the industrial production in the base year of the region; i under different production technologies of each industry. j t As an improvement of the above method, the nitrous oxide emission of the agricultural activity in the base year is calculated, including:

[0033] The nitrous oxide emission of the livestock and poultry manure in the base year is calculated as:

[0034]

[0035] ​​

[0036]

[0037]

[0038] where, is the base year i Nitrous oxide emissions from livestock manure production in the region; is the base year j Enterprise t Registered capital of livestock and poultry species; is the base year for a certain region j Enterprise t Registered capital of livestock and poultry species; is the base year j Enterprise t Weight coefficient of registered capital of livestock and poultry species; is a certain region t Year-end inventory of livestock and poultry species; is the base year j Enterprise t Year-end inventory of livestock and poultry species; is t Nitrous oxide emission factor of livestock and poultry species manure;

[0039] Calculate the amount of nitrous oxide emissions caused by manure fertilization in agricultural activities in the base year:

[0040]

[0041] where, is the base year i Nitrous oxide emissions caused by manure fertilization in the region; is j Enterprise t Annual excretion coefficient of livestock and poultry species; is t Average nitrogen content of livestock and poultry excreta; LR is the nitrogen loss rate caused by leaching, runoff and volatilization.

[0042] Calculate the amount of nitrous oxide emissions caused by excretion of human manure in the base year:

[0043]

[0044] where, is the base year i Nitrous oxide emissions caused by human excretion in the region; P i is i Number of rural population in the region; The annual excretion coefficient of the rural population; This refers to the average nitrogen content of human excrement.

[0045] Calculate the nitrous oxide emissions caused by fertilizer application in the baseline year:

[0046]

[0047] in, Base year i Nitrous oxide emissions caused by fertilizer application in the region; for n Application amount of fertilizer type; for n Nitrogen content of fertilizer types; The nitrous oxide emission coefficient of fertilizer; n It is a type of fertilizer;

[0048] Calculate nitrous oxide emissions from atmospheric nitrogen deposition in the baseline year:

[0049]

[0050] in, Base year i Regional atmospheric nitrogen deposition of nitrous oxide emissions; S The atmospheric nitrogen deposition coefficient; Nitrous oxide emission factor caused by atmospheric nitrogen deposition;

[0051] Calculate the amount of nitrous oxide emissions caused by atmospheric nitrogen deposition and leaching runoff in the baseline year;

[0052]

[0053] in, Base year i Nitrous oxide emissions from regional leaching runoff; L The nitrogen leaching coefficient; This refers to the nitrous oxide emission factor caused by leaching runoff.

[0054] As an improvement to the above method, the calculation of nitrous oxide emissions from waste treatment in the baseline year includes:

[0055] Calculate the nitrous oxide emissions from wastewater treatment in the baseline year:

[0056]

[0057] in, Base year i Nitrous oxide emissions from local wastewater treatment; for jAnnual waste water treatment capacity of the enterprise; For j Different production processes or production technologies of the enterprise k Nitrous oxide emission factor;

[0058]

[0059] Wherein, Base year i Nitrous oxide emissions of regional waste incineration plants; For j Annual waste incineration capacity of the enterprise.

[0060] As an improvement of the above method, the monthly nitrous oxide emissions of the fuel combustion emission source in the target year are calculated, including:

[0061]

[0062] Wherein, Target year i Region m Nitrous oxide emissions caused by fuel combustion in the month; Target year i Region m Month k Energy consumption of energy type; For k Standard coal conversion factor of energy type; Base year i Region m Month k Energy consumption of energy type.

[0063] As an improvement of the above method, the monthly nitrous oxide emissions of the industrial production emission source in the target year are calculated, including:

[0064]

[0065] Wherein, Target year i Region m Nitrous oxide emissions caused by industrial production emission source in the month; Target year i Region s Department m Monthly on-line monitoring system nitrogen oxide emissions; Base year i Region s Department m Monthly adipic acid or nitric acid product output; For the monthly nitrous oxide emission coefficient matrix of the industrial production emission source in each region:

[0066]

[0067] wherein, is i region s the output of adipic acid or nitric acid products of the department; is the base year i the regional industrial industry nitrous oxide emissions.

[0068] As an improvement of the above method, the monthly nitrous oxide emissions of pig species in the target year are calculated, including:

[0069]

[0070] wherein, is the target year i region m the monthly nitrous oxide emissions of pig species in the month; is the base year i the monthly nitrous oxide emissions of pig species in the region; is the base year i region m the pig species at the end of the year in the month; is the target year i region m the pig species at the end of the year in the month:

[0071]

[0072] wherein, is the end of the year in 2019 i region m the pig species in the month; is the base year i region m the pig species at the end of the year in the month corresponding to q quarter; is the target year i region m the pig species at the end of the year in the month corresponding to q quarter;

[0073] The monthly nitrous oxide emissions of ruminants, egg poultry and equine animals in the target year are calculated, including:

[0074]

[0075] wherein, is the target year i region m the monthly nitrous oxide emissions of ruminants, egg poultry and equine animals; is the base yearj enterprise a Nitrous oxide emissions from livestock and poultry species; For the target year a livestock and poultry species m Monthly feed production; Base year a livestock and poultry species m Monthly feed production.

[0076] As an improvement to the above method, the monthly nitrous oxide emissions from manure nitrogen input in each region during the target year include:

[0077] = +

[0078] in, For the target year i area m Monthly nitrous oxide emissions from agricultural manure application; For the target year i area m Monthly nitrous oxide emissions due to nitrogen input from livestock and poultry manure:

[0079]

[0080] in, This refers to the average nitrogen content of manure. The nitrous oxide emission conversion coefficient; For the target year i area m Monthly nitrous oxide emissions from livestock and poultry manure fertilization; For the target year i Caused by excrement from urban and rural populations in the region m Monthly nitrous oxide emissions:

[0081]

[0082] in, Base year i Caused by excrement from urban and rural populations in the region m Monthly nitrous oxide emissions; For the target year m Monthly Consumer Price Index for Rural Residents (Housing Category); Base year m Monthly Consumer Price Index for Rural Residents (Housing Category);

[0083] The monthly nitrous oxide emissions from nitrogen fertilizer and compound fertilizer application in each region during the target year are calculated, including:

[0084]

[0085] Wherein, Target year i Region m Nitrous oxide emissions caused by nitrogen and compound fertilizer application in each month of the target year; Target year Region i Nitrous oxide emissions caused by fertilizer application in each month of the target year; Target year i Region m Total amount of agricultural nitrogen, phosphorus and potassium fertilizer in each month of the target year; Target year i Region m Total amount of agricultural nitrogen, phosphorus and potassium fertilizer in each month of the target year;

[0086] Calculate the monthly nitrous oxide indirect emissions caused by atmospheric nitrogen deposition in each region of the target year, including:

[0087]

[0088] Wherein, Target year i Region m Nitrous oxide emissions caused by atmospheric nitrogen deposition in each month of the target year; Atmospheric nitrogen deposition parameters; Atmospheric nitrogen deposition nitrous oxide conversion coefficient;

[0089] Calculate the monthly nitrous oxide emissions caused by leaching runoff in each region of the target year, including:

[0090]

[0091] Wherein, Target year i Region m Nitrous oxide emissions caused by leaching runoff in each month of the target year; Leaching runoff nitrogen input parameters; Leaching runoff nitrous oxide conversion coefficient.

[0092] As an improvement of the above method, calculate the nitrous oxide emissions of sewage treatment plant in the target year, including:

[0093]

[0094] Wherein, Target year i Region m Nitrous oxide emissions of sewage treatment plant in each month of the target year; Target year i Region j Enterprisem Total nitrogen emissions from sewage treatment plants in the month of For the base year i Region j Enterprise m Total nitrogen emissions from sewage treatment plants in the month of For the base year i Nitrous oxide emissions from sewage treatment in the region

[0095] Account for the nitrous oxide emissions from waste incineration plants in the target year, including:

[0096]

[0097] Among them, For the target year i Region m Nitrous oxide emissions from waste incineration plants in the month of For the target year i Region j Enterprise m Nitrous oxide emissions from waste incineration plants in the month of For the base year i Region j Enterprise m Nitrous oxide emissions from waste incineration plants in the month of For the base year i Nitrous oxide emissions from waste incineration plants in the region

[0098] As an improvement of the above method, it also includes:

[0099] Data quality control is carried out on the calculated nitrous oxide emissions, including:

[0100] Data cross-validation: By comparing the energy consumption, product output and end-of-period inventory and fertilizer application data in the target year, respectively, in the provincial administrative unit and at the national level, with the corresponding statistical items in the Environmental Statistics Yearbook, Energy Balance Table, Rural Statistics Yearbook and Urban Statistics Yearbook, ensure the consistency of data sources and official statistical system; Conduct historical trend consistency test, build time series data set for energy consumption, product output, end-of-period inventory and fertilizer application of each emission source, use moving average method and regression analysis method to fit trend line, verify the statistical significance of the target year data and historical evolution law;

[0101] Uncertainty analysis: A three-level verification system is established. The first level is to calculate the absolute error and relative error range by comparing the calculation results with the nitrous oxide emission amount in the national greenhouse gas inventory to determine the benchmark deviation rate. The second level is to select representative existing research results for horizontal comparison, and to implement difference analysis of emission intensity and spatial distribution characteristics by establishing a literature database. The third level uses Monte Carlo simulation technology to model the probability distribution of monthly emissions, determines the confidence interval of key input variables based on parameter sensitivity analysis, and finally quantifies the uncertainty of fuel combustion, industrial production, agricultural activities and waste disposal at the monthly scale using variance decomposition method to form an error propagation evaluation model covering all spatial and temporal dimensions.

[0102] The application also provides a multi-source heterogeneous big data-based multi-department nitrous oxide emission accounting system, which is realized based on the above method. The system comprises:

[0103] A nitrous oxide emission accounting benchmark year module is configured to account for the nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste disposal in the benchmark year.

[0104] A nitrous oxide emission accounting target year module is configured to calculate the monthly nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste disposal in the target year, and to add the target year nitrous oxide emissions.

[0105] Compared with the prior art, the application has the following advantages:

[0106] The application is based on multi-source heterogeneous big data, uses a bottom-up and top-down combined inventory accounting method, constructs a production-emission function relationship based on multi-index coupling of energy product output-livestock and poultry feed production-fertilizer net amount-online monitoring emission, and proposes a multi-source heterogeneous big data-based multi-department nitrous oxide emission calculation method and system to dynamically update the nitrous oxide emissions of multi-department fine spatial and temporal scales. This method not only unifies the accounting boundaries of existing emission accounting methods, but also improves the fine level of accounting to a more fine spatial scale, and also solves the problems of statistical data lag, inconsistent accounting boundaries, and macro overall accounting range in traditional accounting methods, providing decision support for regions and departments to develop accurate nitrous oxide emission reduction measures and policies. The application has the following beneficial effects compared with the prior art:

[0107] 1) The emission sources discussed in this method are not limited to a single emission source, but cover all-embracing emission sources of fuel combustion, industrial production, agricultural activities and waste disposal. The emission source accounting methods of the four departments are consistent, the accounting boundaries are clear and explicit, and the accounting results are additive and comparable.

[0108] 2) This method does not rely on traditional national statistical data. It uses publicly available monthly index data of energy product output, livestock and poultry feed production, fertilizer purity, and online monitoring emissions by sector, which solves the defects of previous data such as unavailability, lag, and missing data.

[0109] 3) This method breaks through the limitations of existing methods, which only calculate results at the national and annual levels and cannot accurately quantify to more detailed spatiotemporal scales. It refines nitrous oxide emissions from the national level to the monthly scale of different emission sources at the regional level, fully revealing the spatiotemporal heterogeneity of emissions from different emission sources at the regional level. Attached Figure Description

[0110] Figure 1 The diagram shows a flowchart of a multi-sectoral nitrous oxide emission calculation method based on multi-source heterogeneous big data. Detailed Implementation

[0111] The technical solution of this application will be described in detail below with reference to the accompanying drawings.

[0112] This invention utilizes multi-source heterogeneous big data, including the China High Spatial Resolution Emission Grid Database (CHRED), urban statistical yearbooks, energy statistical yearbooks, carbon emission verification data, environmental statistical yearbooks, industry association statistical reports, agricultural statistical yearbooks, enterprise registration and management databases, and the Wind database. It constructs a production-emission function relationship coupling multiple indicators such as energy product output, livestock feed production, nitrogen content in fertilizers (converted to pure nitrogen), and online monitoring emissions. This proposes a multi-sectoral nitrous oxide emission calculation method and system based on multi-source heterogeneous big data to dynamically update nitrous oxide emissions at fine spatiotemporal scales across multiple sectors, with a calculation timeliness lag of only half a month. While ensuring data reliability, cross-validation with environmental statistical yearbooks, energy balance sheets, rural statistical yearbooks, and urban statistical yearbooks at the provincial and national levels is used as constraints and data verification for energy consumption, product output, ending livestock inventory, and fertilizer application. The Monte Carlo method was used to analyze the cumulative uncertainty caused by the uncertainty of each step in the accounting process, and the error of the nitrous oxide emission accounting results by region, department and month was controlled within 3%.

[0113] This invention is based on multi-source heterogeneous big data and adopts a combined bottom-up and top-down inventory accounting method to construct a production-emission function relationship based on multiple indicators such as energy product output, livestock and poultry feed production, fertilizer purity, and online monitoring emissions, in order to dynamically update nitrous oxide emissions at a fine spatiotemporal scale across multiple sectors.

[0114] like Figure 1 As shown, the multi-sectoral nitrous oxide emission calculation method based on multi-source heterogeneous big data provided in this application includes:

[0115] Step 1: Calculate the baseline year nitrous oxide emissions

[0116] Step 1.1: Calculate the nitrous oxide emissions from fuel combustion in the baseline year.

[0117] The scope of the accounting includes nitrous oxide emissions from fuel combustion in sectors such as electricity and heating, industry, construction, transportation, residential use, services, agriculture, forestry, animal husbandry, and fisheries. Fuel types include coal, oil, and natural gas. Based on multi-source heterogeneous big data, the consumption of coal, oil, and natural gas in various sectors across different regions (representing cities, provinces, or the entire country) in the baseline year is statistically analyzed. Integrating emission factors recommended by national and provincial emission accounting guidelines and existing literature, nitrous oxide emissions by region and sector, and by different fuel types, are calculated.

[0118]

[0119] in, , , The base year i Nitrous oxide emissions from the combustion of coal, oil, and natural gas fuels across all sectors of the region. , , The base year i area s The consumption of coal, oil, and natural gas fuels by the department. , , These are the nitrous oxide emission coefficients corresponding to the combustion of coal, oil, and natural gas fuels, respectively. Base year i Nitrous oxide emissions from regional fuel combustion.

[0120] Step 1.2: Calculate the industrial nitrous oxide emissions in the baseline year.

[0121] The accounting scope includes nitrous oxide emissions from the industrial production of adipic acid and nitric acid, excluding emissions from non-fuel combustion. Based on carbon emission accounting verification data, industry association statistical reports, and the Wind database, the production data of nitric acid and adipic acid products of each enterprise in the baseline year were statistically analyzed. The nitrous oxide emission coefficients recommended by national and provincial emission accounting guidelines and emission factors from existing literature were integrated to calculate the nitrous oxide emissions of different product types at different enterprise levels. Based on basic enterprise information, the emissions were aggregated and summed at the regional level.

[0122]

[0123] in, Base year iRegional industrial industry nitrous oxide emissions. Base year i Region j Enterprise each industry different production technology t Under the product output. Base year i Region j Enterprise each industry different production technology t Nitrous oxide emission coefficient under different production technology.

[0124] Step 1.3: Calculate the nitrous oxide emissions of agricultural activities in the base year

[0125] The scope of agricultural activity nitrous oxide accounting includes livestock and poultry manure management emissions and emissions during agricultural land fertilization.

[0126] Livestock and poultry manure management emissions are calculated based on enterprise registration capital information in the enterprise registration and business management database, combined with annual livestock and poultry inventory in the agricultural statistical yearbook, using each enterprise registration capital as the weight to calculate the annual inventory of each enterprise. Considering factors such as livestock and poultry species, breeding methods, and livestock and poultry weight, according to the theoretical excretion of different livestock and poultry species, combined with the recommended emission factor of the national and provincial emission accounting guidelines and the existing literature emission factor, the nitrogen oxide emissions caused by the excretion of different livestock and poultry species are calculated, and according to the enterprise information, the regional level is summarized and added:

[0127]

[0128]

[0129]

[0130] Among them, Base year i Nitrous oxide emissions from livestock and poultry manure in the region; Base year j Enterprise t Registration capital of livestock and poultry species; Nitrous oxide emission factor of livestock and poultry manure in a region in the base year j Enterprise t Registration capital of livestock and poultry species; Base year j Enterprise t Weight coefficient of livestock and poultry species registration capital; Annual inventory of livestock and poultry species in a region t Annual inventory of livestock and poultry species in a region Base year j Enterprise t Annual inventory of livestock and poultry species in a region Nitrous oxide emission factor of livestock and poultry manure t Nitrous oxide emission factor of livestock and poultry manure

[0131] The nitrous oxide emissions caused by agricultural land fertilization include direct emissions and indirect emissions. The direct emissions are caused by the nitrogen input of agricultural land in the season. The indirect emissions include the nitrous oxide emissions caused by atmospheric nitrogen deposition and the nitrous oxide emissions caused by nitrogen leaching runoff loss. The direct emissions include the nitrogen input of manure, nitrogen fertilizer and compound fertilizer. The nitrous oxide emissions caused by manure application are calculated according to the annual livestock and poultry stock of each enterprise, the excretion nitrogen amount of rural population and manure, and the nitrous oxide emission coefficient. The nitrous oxide emissions caused by nitrogen fertilizer and compound fertilizer application are calculated according to the nitrogen content of agricultural land input in each region, combined with the nitrous oxide emission coefficient.

[0132] The direct emissions caused by agricultural land fertilization are the sum of the nitrous oxide emissions caused by manure application and the nitrous oxide emissions caused by nitrogen fertilizer and compound fertilizer application, which are summarized and added up at the regional level.

[0133]

[0134] Among them, , , , are the direct emissions of agricultural land fertilization in the base year i , and the nitrous oxide emissions caused by livestock and poultry manure fertilization, human excretion and chemical fertilizer application. is j the annual excretion coefficient of the livestock and poultry species of the enterprise t . is t the average nitrogen content of the excretion of the livestock and poultry species. P i is i the number of rural population in the region. is the excretion amount coefficient of rural population. is the average nitrogen content of human excretion. is the application amount of different types of chemical fertilizers n , is the nitrogen content of different types of chemical fertilizers n , is the nitrous oxide emission coefficient of chemical fertilizer, n is the type of chemical fertilizer. LR is the nitrogen loss rate caused by leaching, runoff and volatilization.

[0135] Indirect emissions of nitrous oxide from agricultural land include indirect emissions from atmospheric nitrogen deposition and indirect emissions from leaching runoff. Indirect emissions from atmospheric nitrogen deposition are calculated based on a comprehensive assessment of nitrogen fertilizer and compound fertilizer application rates, nitrogen emissions from manure management, and nitrous oxide emission factors from atmospheric nitrogen deposition. Indirect emissions from leaching runoff are also calculated based on a comprehensive assessment of nitrogen fertilizer and compound fertilizer application rates, nitrogen emissions from manure management, and nitrous oxide emission factors from leaching runoff. Indirect emissions of nitrous oxide from agricultural land are the sum of these two components, aggregated at the regional level.

[0136]

[0137] in, Base year i Indirect emissions from fertilization on agricultural land in the region. , The base year i Nitrous oxide emissions from atmospheric nitrogen deposition and leaching runoff in the region. S , L These are the atmospheric nitrogen deposition coefficient and nitrogen leaching coefficient. , Nitrous oxide emissions are caused by atmospheric nitrogen deposition and leaching runoff.

[0138] It is important to note that the farming method mainly refers to large-scale farming, and emissions caused by individual small-scale farming are not considered at this time.

[0139] Step 1.4: Calculate the amount of nitrous oxide emissions from waste treatment in the baseline year.

[0140] The scope of the accounting includes nitrous oxide emissions from wastewater treatment and waste incineration processes. Wastewater treatment volume and waste incineration volume for each region in the baseline year were statistically analyzed using the China High Spatial Resolution Emission Grid Database (CHRED) and the online monitoring system for waste incineration plants. Based on the emission factors recommended in national and provincial emission accounting guidelines and existing literature, the nitrous oxide emissions from wastewater treatment plants and waste incineration plants in each region were calculated. These emissions were then aggregated and summed at the regional level based on basic enterprise information.

[0141]

[0142] in, , , The base year i Total nitrous oxide emissions from regional waste treatment, as well as nitrous oxide emissions from wastewater treatment and waste incineration. , They are respectively jThe annual wastewater treatment capacity of the enterprise, the annual garbage incineration capacity. For j Different production processes or production technologies of the enterprise k Nitrous oxide emission factor.

[0143] It should be noted that the enterprise information collected through the China High Spatial Resolution Emission Grid Database (CHRED) and the garbage incineration plant online monitoring system specifically includes but is not limited to enterprise name, production capacity, latitude and longitude, geographic location, product output, commissioning time, treatment scale, production status, etc.

[0144] Step 1.4: Calculate the nitrous oxide emissions of each region in the base year:

[0145]

[0146] Among them, The total amount of nitrous oxide emissions caused by fuel combustion, industrial production, indirect emissions of agricultural activities, direct emissions of agricultural activities, animal manure management, and waste disposal in the base year i Region.

[0147] Step 2: Calculate the nitrous oxide emissions in the target year

[0148] Step 2.1: Calculate the monthly nitrous oxide emissions of fuel combustion in the target year

[0149] According to the coal, oil, and natural gas consumption of each region in the base year and the target year in the power and heating, industrial, building, transportation, living, service, and agriculture, forestry, animal husbandry, and fishery departments, the total energy consumption of the region is uniformly converted. Combined with the proportion relationship between the target year monthly energy consumption data and the base year monthly energy consumption data, the monthly nitrous oxide emissions of the fuel combustion emission source in the target year of each region are quickly calculated:

[0150]

[0151] Among them, The amount of nitrous oxide emissions caused by fuel combustion in the target year i Region. m Month. The amount of energy consumption of energy type in the target year i Region. m Month k Energy type. The conversion factor of standard coal for energy type. k The amount of energy consumption of energy type in the base year Region. i Month m Energy type. k The amount of energy consumption of energy type in the base year

[0152] Step 2.2: Calculate the target year industrial production type monthly nitrous oxide emission

[0153] Based on the adipic acid and nitric acid production industry associations and carbon verification statistical data in each region, a functional relationship between the product output of adipic acid and nitric acid enterprises and the nitrogen oxide emissions of the online monitoring system is established to verify the internal correlation between the product output of adipic acid and nitric acid production enterprises and the online monitoring system emission data.

[0154]

[0155] wherein, is s the department j enterprise, s the adipic acid and nitric acid production department respectively; is s the functional relationship between the product output of the department j enterprise and the nitrogen oxide emissions of the online monitoring system; is s the adipic acid or nitric acid product output of the department j enterprise; is s the nitrogen oxide emissions of the online monitoring system of the department j enterprise.

[0156] According to the adipic acid and nitric acid product output data in each region in the base year, combined with the nitrous oxide emissions in the base year, the nitrous oxide emission coefficient matrix of the industrial production emission source in each region is calculated. According to the functional relationship between the product output of adipic acid and nitric acid production enterprises and the nitrogen oxide emissions data of the online monitoring system, combined with the proportion of monthly nitrogen oxide emissions, the monthly nitrous oxide emission coefficient matrix of the industrial production emission source in each region is further calculated:

[0157]

[0158] wherein, is the monthly nitrous oxide emission coefficient matrix of the industrial production emission source in each region. is i the adipic acid or nitric acid product output of the department s region; is the adipic acid or nitric acid product output of the department i region s department m in the base year.

[0159] Based on the above nitrous oxide emission coefficient matrix of each region, combined with the functional relationship between adipic acid, nitric acid production enterprise product output and online monitoring system nitrogen oxide emission data, according to the change of monthly nitrogen oxide emission amount of online monitoring, the monthly nitrous oxide emission amount of industrial production emission source in each region in the target year is quickly calculated.

[0160]

[0161] Wherein, is the monthly nitrous oxide emission amount of agricultural activities in the target year. i is the region. m is the month. is the monthly online monitoring system nitrogen oxide emission amount in the target year. i is the region. s is the department. m is the month.

[0162] Step 2.3: Calculate the monthly nitrous oxide emission amount of agricultural activities in the target year

[0163] Step 2.3.1: Calculate the monthly nitrous oxide emission amount of livestock and poultry breeding manure management in the target year

[0164] Pig type: Based on the monthly pig inventory announced by the Ministry of Agriculture and Rural Affairs, after 2019, it is announced according to the quarter, but before 2019, it is announced completely monthly, assuming that the structure of the monthly pig inventory in 2019 remains unchanged, according to this proportion, combined with the pig inventory in the base year, the quarterly inventory is divided into monthly inventory, and the monthly pig inventory in the target year is obtained, and further normalized to obtain the monthly inventory matrix of pig type:

[0165]

[0166] Wherein, is the pig inventory at the end of the month in the target year. i is the region. m is the month. is the pig inventory at the end of the corresponding quarter in the target year. i is the region. m is the month. q is the pig inventory at the end of the corresponding quarter in the target year. i Combined with the quantitative relationship between the monthly inventory of pig type in the target year and the monthly inventory of pig type in the base year, the monthly nitrous oxide emission amount of pig type in the target year is quickly calculated: m q

[0167]

[0168] ​​​​

[0169] Wherein, Target year i Region m Monthly nitrous oxide emissions of pig species. Base year i Region

[0170] Ruminant animals (cattle, sheep, camels), egg birds (chickens, ducks, geese), equine animals (horses, donkeys, mules) species: based on the ruminant feed, egg birds, other animal feed production data published by the Wind database, the functional relationship between annual ruminant feed, egg birds, other animal feed production and total number of ruminant, egg birds, other animals is established, and the internal correlation between ruminant, egg bird, other animal feed production and total number of ruminant, egg bird, other animals is verified:

[0171]

[0172] Wherein, Ruminant animals (cattle, sheep, camels), egg birds (chickens, ducks, geese), equine animals (horses, donkeys, mules). The functional relationship between ruminant, egg bird, equine animal feed production and total number of ruminant, egg bird, other animals. The total feed production of animal types, a The total number of animals in the total number of animals. The total feed production of animal types, a The total number of animals in the total number of animals.

[0173] Combined with the functional relationship between the feed production of ruminant animals (cattle, sheep, camels), egg birds (chickens, ducks, geese), equine animals (horses, donkeys, mules) and the total number of animals at the end of the year, the monthly nitrous oxide emissions of ruminant animals, egg birds, equine animals in each region in the target year are quickly calculated:

[0174]

[0175] Wherein, Target year i Region m Monthly nitrous oxide emissions. Base year j Enterprise a Nitrous oxide emissions of livestock and poultry species. Target year a Livestock and poultry species m Monthly feed production. Base year a Livestock and poultry species m Monthly feed production.

[0176] Livestock and poultry breeding excrement management target year i Regional monthly nitrous oxide emissions are the sum of monthly nitrous oxide emissions of pig species, ruminants (cattle, sheep, camels), egg poultry (chickens, ducks, geese), and equine animals (horses, donkeys, mules) in the target year:

[0177] = +

[0178] In the formula, is the target year i Regional livestock and poultry breeding excrement management m monthly nitrous oxide emissions.

[0179] Step 2.3.2: Calculate the monthly nitrous oxide emissions of agricultural land fertilization in the target year

[0180] The monthly nitrous oxide emissions of agricultural land fertilization include direct emissions and indirect emissions, where the direct emissions include manure nitrogen input and nitrogen fertilizer and compound fertilizer nitrogen input; the indirect emissions include indirect emissions of nitrous oxide caused by atmospheric nitrogen deposition and indirect emissions of nitrous oxide caused by leaching runoff.

[0181] Manure nitrogen input:

[0182] Based on the above future year excrement management monthly nitrous oxide emissions of livestock and poultry breeding, combined with the nitrogen element content of manure and the conversion coefficient of nitrous oxide emissions, the monthly nitrous oxide emissions of manure of livestock and poultry species in each region are calculated:

[0183]

[0184] Among them, is the nitrogen element content of manure, is the conversion coefficient of nitrous oxide emissions. is the target year i Regional m monthly nitrous oxide emissions of manure fertilization of livestock and poultry breeding. is the target year i Regional m monthly nitrous oxide emissions of agricultural manure application;

[0185] Another part of the manure nitrogen input comes from the excretion of rural population. There is a functional relationship between the excretion of rural population and the consumption capacity of rural population, where the consumption capacity of rural population is usually reflected by the monthly index of rural resident consumption price. Combined with the monthly index of rural resident consumption price, the functional relationship between the monthly index of rural resident consumption price and the excretion of rural population is established:

[0186]

[0187]

[0188] wherein, is the monthly index of rural resident consumption price of living class. is the amount of excretion of rural population. is the functional relationship between the monthly index of rural resident consumption price of living class and the amount of excretion of rural population

[0189] According to the functional relationship between the monthly index of rural resident consumption price of living class and the amount of excretion of rural population, the monthly nitrous oxide emission amount caused by the excretion of rural population on farmland in each region in the target year is quickly calculated:

[0190]

[0191] wherein, is the monthly nitrous oxide emission amount caused by the excretion of urban and rural population in the target year i region. m is the monthly nitrous oxide emission amount caused by the excretion of urban and rural population in the target year region. i is the monthly nitrous oxide emission amount caused by the excretion of urban and rural population in the base year m region. is the monthly index of rural resident consumption price of living class in the target year m month. is the monthly index of rural resident consumption price of living class in the base year m month.

[0192] The monthly nitrous oxide emission amount of farmland manure i region. m is equal to the sum of the monthly nitrous oxide emission amount of farmland livestock and poultry manure i region. m and the monthly nitrous oxide emission amount of farmland manure i region. m caused by the excretion of rural population.

[0193] = +

[0194] wherein, is the monthly nitrous oxide emission amount caused by farmland manure fertilization in the target year i region. m is the monthly nitrous oxide emission amount caused by farmland manure fertilization in the target year

[0195] Nitrogen fertilizer and compound fertilizer nitrogen input:

[0196] Based on the nitrogen, phosphorus and potassium fertilizer net amount published by Wind database, the function relationship between the nitrogen, phosphorus and potassium fertilizer net amount and the total output of nitrogen fertilizer and compound fertilizer is established, and the internal correlation between the nitrogen, phosphorus and potassium fertilizer net amount and the total output of nitrogen fertilizer and compound fertilizer is verified:

[0197]

[0198] Wherein, is the function relationship between the nitrogen, phosphorus and potassium fertilizer net amount and the total output of nitrogen fertilizer and compound fertilizer in the region. i is the total nitrogen, phosphorus and potassium fertilizer net amount in the region, i is the total output of nitrogen fertilizer and compound fertilizer in the region. i

[0199] Based on the function relationship between the nitrogen, phosphorus and potassium fertilizer net amount and the total output of nitrogen fertilizer and compound fertilizer, combined with the monthly nitrogen, phosphorus and potassium fertilizer net amount data published by Wind database, according to the proportional relationship between the monthly nitrogen, phosphorus and potassium fertilizer net amount in the base year and the monthly nitrogen, phosphorus and potassium fertilizer net amount in the target year, the monthly nitrous oxide emission amount caused by nitrogen fertilizer and compound fertilizer fertilization in each region in the target year is quickly calculated:

[0200]

[0201] Wherein, is the monthly nitrous oxide emission amount caused by nitrogen fertilizer and compound fertilizer fertilization in the region in the target year; i is the nitrous oxide emission amount caused by fertilizer application in the region in the base year; m indicates the total nitrogen, phosphorus and potassium fertilizer net amount in the region in the target year; indicates the total nitrogen, phosphorus and potassium fertilizer net amount in the region in the base year; i i m i m

[0202] i The direct nitrous oxide emission amount of fertilizer fertilization in the region in the target year is equal to the sum of the nitrous oxide emission amount of manure in the region in the target year and the nitrous oxide emission amount of nitrogen fertilizer and compound fertilizer in the region in the target year. m i m i m

[0203]

[0204] ​​​​​​​​​​​​​​​Quick calculation of monthly N2O emissions caused by atmospheric nitrogen deposition:

[0205] Based on the monthly N2O emissions from agricultural land fertilization in each region in the target year, combined with the atmospheric nitrogen deposition parameters and the atmospheric nitrogen deposition N2O conversion coefficient, the monthly N2O indirect emissions caused by atmospheric nitrogen deposition in each region are quickly calculated:

[0206]

[0207] wherein, is the N2O emissions caused by atmospheric nitrogen deposition in the target year i region m month. is the atmospheric nitrogen deposition parameter, is the atmospheric nitrogen deposition N2O conversion coefficient.

[0208] Quick calculation of monthly N2O emissions caused by leaching runoff:

[0209] The monthly changes in the net amount of nitrogen, phosphorus and potassium fertilizers reflect the dynamic changes in monthly nitrogen and compound fertilizer fertilization. According to the proportional relationship between the monthly net amount of nitrogen, phosphorus and potassium fertilizers in the target year and the monthly net amount of nitrogen, phosphorus and potassium fertilizers in the base year in each region, combined with the leaching runoff nitrogen input parameters and the leaching runoff N2O conversion coefficient, the monthly N2O indirect emissions caused by atmospheric nitrogen deposition in each region are quickly calculated:

[0210]

[0211] wherein, is the N2O emissions caused by leaching runoff in the target year i region m month. is the leaching runoff nitrogen input parameter, is the leaching runoff N2O conversion coefficient.

[0212] Agricultural activity sector i region m The monthly N2O emissions are the sum of the above i region m month manure management, manure emissions from agricultural land, fertilizer emissions from agricultural land, atmospheric nitrogen deposition emissions, and leaching runoff emissions:

[0213]

[0214] Step 2.4: Calculate the monthly N2O emissions from waste disposal in the target year

[0215] At present, online monitoring systems have been installed in regional sewage treatment plants, which can accurately grasp the daily and monthly sewage treatment and discharge status of enterprises. Based on the online monitoring system of sewage treatment plants, the functional relationship between the sewage treatment capacity of regional sewage treatment plants and the total nitrogen emission of the online monitoring system is established, and the internal correlation between the sewage treatment capacity and the total nitrogen emission is verified.

[0216]

[0217] wherein, is i a w regional sewage treatment plant. i is w a functional relationship between the sewage treatment capacity of a regional sewage treatment plant and the total nitrogen emission of the online monitoring system of the corresponding enterprise. i is w a sewage treatment capacity of a regional sewage treatment plant, i is w a total nitrogen emission of the online monitoring system of a regional sewage treatment plant.

[0218] At present, online monitoring systems have been installed in waste incineration plants, which can accurately grasp the daily and monthly waste incineration treatment and discharge status of enterprises. Based on the online monitoring system of waste incineration plants, the functional relationship between the waste incineration capacity of regional waste incineration plants and the nitrogen oxide emission of the online monitoring system is established, in order to verify the internal correlation between the waste incineration capacity of waste incineration plants and the emission data of the online monitoring system.

[0219]

[0220] wherein, is i a g regional waste incineration plant. i is g a functional relationship between the waste incineration capacity of a regional waste incineration plant and the nitrogen oxide emission of the online monitoring system of the corresponding enterprise. i is g a waste incineration capacity of a regional waste incineration plant, i is g a nitrogen oxide emission of the online monitoring system of a regional waste incineration plant.

[0221] Based on the monthly total nitrogen emission of the online monitoring system of regional sewage treatment plants, combined with the functional relationship between the sewage treatment capacity of regional sewage treatment plants and the total nitrogen emission of the online monitoring system, and according to the target year i region jenterprise m monthly total nitrogen emissions from online monitoring systems and the base year i region j enterprise m the proportional relationship of monthly total nitrogen emissions from online monitoring systems, and the base year i region m monthly nitrous oxide emissions from sewage treatment plants

[0222]

[0223] wherein, target year i region m monthly nitrous oxide emissions from sewage treatment plants target year i region j enterprise m monthly total nitrogen emissions from online monitoring systems in sewage treatment plants base year i region j enterprise m monthly total nitrogen emissions from online monitoring systems in sewage treatment plants

[0224] Based on the monthly nitrogen oxide emissions from the online monitoring system of the waste incineration plant in the region, combined with the functional relationship between the waste incineration quantity of the waste incineration plant in the region and the nitrogen oxide emissions from the online monitoring system thereof, according to the target year i region j enterprise m monthly nitrogen oxide emissions from online monitoring systems and the base year i region j enterprise m the proportional relationship of monthly nitrogen oxide emissions from online monitoring systems, and the base year i region m monthly nitrous oxide emissions from waste incineration plants

[0225]

[0226] wherein, target year i region m monthly nitrous oxide emissions from waste incineration plants target year i region j enterprise m monthly nitrogen oxide emissions from online monitoring systems in waste incineration plants base year i region j enterprise m monthly nitrogen oxide emissions from online monitoring systems in waste incineration plants

[0227] Target year i Region m Monthly nitrous oxide emissions from waste disposal sector equal to target year i Region m Monthly sum of nitrous oxide emissions from sewage treatment plants and regional waste incineration plants:

[0228]

[0229] Target year i Region m Monthly sum of nitrous oxide emissions from fuel combustion, industrial production, agricultural activities, and waste disposal equal to target year i Region m Monthly sum of nitrous oxide emissions from fuel combustion, industrial production, agricultural activities, and waste disposal:

[0230]

[0231] Step 3: Nitrous oxide emissions data quality control

[0232] Based on the rapid calculation of regional nitrous oxide emissions in the target year, the present invention provides a systematic method for verifying the accuracy of regional nitrous oxide emission accounting results data, including data cross-validation and uncertainty analysis.

[0233] Data cross-validation: First, implement multi-source data comparison and verification; by comparing the energy consumption, product output, end-of-period inventory, and fertilizer application data in the target year, respectively, with the corresponding statistical items in the Environmental Statistics Yearbook, Energy Balance Table, Rural Statistics Yearbook, and Urban Statistics Yearbook at the provincial administrative unit and national level, ensure the consistency of data sources and official statistical system. At the same time, carry out historical trend consistency test, construct time series data set for energy consumption, product output, end-of-period inventory, and fertilizer application involved in each emission source, use moving average method and regression analysis method to fit trend line, verify the statistical significance of target year data and historical evolution law.

[0234] Uncertainty analysis: A three-level verification system is established. The first level is to calculate the absolute error and relative error range by comparing the calculation results with the nitrous oxide emission amount in the national greenhouse gas inventory to determine the benchmark deviation rate. The second level selects representative regional research results for horizontal comparison, and the difference analysis of emission intensity and spatial distribution characteristics is implemented by establishing a literature database. The third level uses Monte Carlo simulation technology to model the probability distribution of monthly emissions, determines the confidence interval of key input variables based on parameter sensitivity analysis, and finally quantifies the uncertainty of different emission sources such as fuel combustion, industrial production, agricultural activities, and waste disposal on a monthly scale by variance decomposition method, forming an error propagation evaluation model covering all spatial and temporal dimensions.

[0235] The verification system significantly improves the scientificity and reliability of regional-scale monthly nitrous oxide emission accounting results through multi-dimensional data mutual calibration and uncertainty tracing mechanism.

[0236] Example 2

[0237] The application also provides a multi-source heterogeneous big data-based multi-department nitrous oxide emission accounting system, which is realized based on the above method. The system comprises:

[0238] A module for accounting the nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste disposal in the benchmark year is provided.

[0239] A module for accounting the nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste disposal in the target year is provided. The monthly nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste disposal in the target year are calculated, and the target year nitrous oxide emissions are obtained by summation.

[0240] Based on multi-source heterogeneous big data, the application constructs a production-emission function relationship based on the coupling of multiple indexes such as energy product output, livestock and poultry feed production, nitrogen content of chemical fertilizer, and online monitoring emission, and proposes a multi-source heterogeneous big data-based multi-department nitrous oxide emission accounting method and system to account the monthly nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste disposal. This method not only unifies the accounting boundaries of existing emission accounting methods, but also improves the fine level of accounting to the regional level, and also solves the problems of statistical data lag, inconsistent accounting boundaries, and macro overall accounting range in traditional accounting methods, providing decision support for each region and department to develop accurate nitrous oxide emission reduction measures and policies with high timeliness.

[0241] The application can also provide a computer device, comprising at least one processor, a memory, at least one network interface and a user interface. The various components in the device are coupled together by a bus system. It can be understood that the bus system is used to realize the connection communication between the components. In addition to including a data bus, the bus system also includes a power supply bus, a control bus and a status signal bus.

[0242] The user interface can include a display, a keyboard or a pointing device, for example, a mouse, a trackball, a touchpad or a touch screen.

[0243] It can be understood that the memory in the embodiments of the application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. The non-volatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM) or a flash memory. The volatile memory can be a Random Access Memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM can be used, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM) and Direct Rambus RAM (DRRAM). The memory described herein is intended to include, without being limited to, these and any other suitable types of memory.

[0244] In some embodiments, the memory stores elements, executable modules or data structures, or a subset thereof, or an extended set thereof: an operating system and an application program.

[0245] The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application programs include various application programs, such as a media player (Media Player), a browser (Browser), and the like, for implementing various application services. The program for implementing the method of the embodiments of the present disclosure can be included in the application programs.

[0246] In the above-described embodiments, the processor can be configured to, by invoking the program or the instruction stored in the memory, specifically, the program or the instruction stored in the application program:

[0247] perform the steps of the above-described method.

[0248] The above-described method can be applied to the processor or implemented by the processor. The processor can be an integrated circuit chip having a signal processing capability. In the implementation process, the steps of the above-described method can be completed by hardware integrated logic circuits in the processor or by the instructions in the form of software. The processor described above can be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The above-disclosed methods, steps and logic block diagrams can be implemented or executed by the processor. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the above-disclosed method can be directly embodied in hardware code executed by the processor, or a combination of hardware and software modules in the processor. The software module can be located in the random access memory (RAM), the flash memory, the read-only memory (ROM), the programmable read-only memory (PROM), the electrically programmable read-only memory (EPROM), the electrically erasable programmable read-only memory (EEPROM), the register, or other mature storage media in the art. The memory is located in the storage medium, and the processor reads information in the memory and combines the hardware to complete the steps of the above-described method.

[0249] It can be understood that the embodiments described in the present application can be realized by hardware, software, firmware, middleware, microcode or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described in the present application, or a combination thereof.

[0250] For software implementation, the present application can be implemented by executing the functional modules (such as processes, functions, etc.) described in the present application. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0251] The present application also provides a non-volatile storage medium for storing a computer program. When the computer program is executed by a processor, each step of the above method embodiments can be implemented.

[0252] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit. Although the present application is described in detail with reference to the embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. A multi-department nitrous oxide emission accounting method based on multi-source heterogeneous big data, comprising: accounting for the nitrous oxide emissions of fuel combustion, industrial production, agricultural activities and waste treatment in the base year; accounting for the monthly nitrous oxide emissions of fuel combustion emission sources in the target year: according to the energy consumption of each department in each region in the base year and the target year, the total energy consumption is converted, and combined with the proportion relationship of monthly energy consumption data, the monthly nitrous oxide emissions of fuel combustion emission sources in the target year are accounted for; accounting for the monthly nitrous oxide emissions of industrial production emission sources in the target year: according to the nitrous oxide emissions of industrial production in each region in the base year, an emission coefficient matrix is established, according to the functional relationship between the product output of adipic acid and nitric acid enterprises and the online monitoring system nitrogen oxide emission data, and according to the change of monthly nitrogen oxide emission amount of online monitoring, the monthly nitrous oxide emissions of industrial production emission sources in the target year are accounted for; accounting for the monthly nitrous oxide emissions of agricultural activity emission sources in the target year: based on the pig inventory, the monthly nitrous oxide emissions of pig species in the target year are accounted for; combined with the functional relationship between the feed yield of ruminant animals, egg poultry animals and equine animals and the total number of them at the end of the year, the monthly nitrous oxide emissions of ruminant animals, egg poultry animals and equine animals in each region in the target year are accounted for; the monthly nitrous oxide emissions of ruminant animals, egg poultry animals and equine animals in each region in the target year are added to obtain the monthly nitrous oxide emissions of livestock and poultry breeding manure management in the target year; based on the monthly nitrous oxide emissions of livestock and poultry breeding manure management in the target year, combined with the nitrogen element content of manure and the conversion coefficient of nitrous oxide emission, the monthly nitrous oxide emissions of manure of livestock and poultry species on farmland in each region in the target year are accounted for; according to the functional relationship between the monthly index of rural resident consumer price of the residential class and the nitrogen content of rural population excretion, the monthly nitrous oxide emissions caused by the excretion of rural population on farmland in each region in the target year are accounted for; the monthly nitrous oxide emissions of manure of livestock and poultry species on farmland in each region in the target year and the monthly nitrous oxide emissions caused by the excretion of rural population on farmland in each region in the target year are added to obtain the monthly nitrous oxide emissions of nitrogen input of manure in each region in the target year; based on the functional relationship between the net amount of nitrogen, phosphorus and potassium fertilizers for agriculture and the total output of nitrogen fertilizer and compound fertilizer, combined with the monthly net amount of nitrogen, phosphorus and potassium fertilizers for agriculture data, according to the proportional relationship between the monthly net amount of nitrogen, phosphorus and potassium fertilizers for agriculture in the base year and the monthly net amount of nitrogen, phosphorus and potassium fertilizers for agriculture in the target year, the monthly nitrous oxide emissions caused by nitrogen fertilizer and compound fertilizer fertilization in each region in the target year are accounted for; based on the monthly nitrous oxide emissions of fertilization on farmland in each region in the target year, combined with the atmospheric nitrogen deposition parameters and the conversion coefficient of atmospheric nitrogen deposition nitrous oxide, the monthly indirect emissions of nitrous oxide caused by atmospheric nitrogen deposition in each region in the target year are accounted for; according to the proportional relationship between the monthly net amount of nitrogen, phosphorus and potassium fertilizers for agriculture in each region in the target year and the monthly net amount of nitrogen, phosphorus and potassium fertilizers for agriculture in each region in the base year, combined with the leaching runoff nitrogen input parameters and the conversion coefficient of leaching runoff nitrous oxide, the monthly nitrous oxide emissions caused by leaching runoff in each region in the target year are accounted for. The monthly N2O emission amount of the livestock and poultry breeding manure management in the target year is obtained by adding the monthly N2O emission amount of the manure nitrogen input in each region in the target year, the monthly N2O emission amount caused by the nitrogen fertilizer and compound fertilizer fertilization in each region in the target year, the monthly N2O emission amount caused by the atmospheric nitrogen deposition in each region in the target year, and the monthly N2O emission amount caused by the leaching runoff in each region in the target year; The monthly N2O emission amount of the waste treatment source in the target year is obtained by adding the monthly N2O emission amount of the livestock and poultry breeding manure management in the target year, the monthly N2O emission amount of the manure nitrogen input in each region in the target year, the monthly N2O emission amount caused by the nitrogen fertilizer and compound fertilizer fertilization in each region in the target year, the monthly N2O emission amount caused by the atmospheric nitrogen deposition in each region in the target year, and the monthly N2O emission amount caused by the leaching runoff in each region in the target year; The N2O emission amount of the sewage treatment plant in the target year is calculated based on the monthly total nitrogen emission amount of the online monitoring system of the regional sewage treatment plant, the functional relationship between the sewage treatment amount of the regional sewage treatment plant and the total nitrogen emission amount of the online monitoring system thereof, and the proportional relationship between the total nitrogen emission amount of the online monitoring system in the target year and the total nitrogen emission amount of the online monitoring system in the base year; The N2O emission amount of the regional waste incineration plant in the target year is calculated based on the monthly nitrogen oxide emission amount of the online monitoring system of the regional waste incineration plant, the functional relationship between the waste incineration amount of the regional waste incineration plant and the nitrogen oxide emission amount of the online monitoring system thereof, and the proportional relationship between the nitrogen oxide emission amount of the online monitoring system in the target year and the nitrogen oxide emission amount of the online monitoring system in the base year; The monthly N2O emission amount of the waste treatment source in the target year is obtained by adding the N2O emission amount of the sewage treatment plant in the target year and the N2O emission amount of the regional waste incineration plant in the target year; The total N2O emission amount in the target year is obtained by adding the monthly N2O emission amount of the fuel combustion source in the target year, the monthly N2O emission amount of the industrial production source in the target year, the monthly N2O emission amount of the agricultural activity source in the target year, and the monthly N2O emission amount of the waste treatment source in the target year.

2. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The N2O emission amount of the fuel combustion source in the base year is calculated, including: ； Wherein, , , Respectively, the base year i The nitrous oxide emissions caused by the combustion of coal, oil and natural gas fuels in all sectors of the region; , , Respectively, the base year i Region s The consumption of coal, oil and natural gas fuels in the sector; , , Respectively, the nitrous oxide emission coefficient corresponding to the combustion of coal, oil and natural gas fuels; The base year i The fuel combustion type nitrous oxide emissions in the region.

3. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The N2O emission amount of the industrial production source in the base year is calculated, including: ； in, Base year i Nitrous oxide emissions from regional industrial sectors; Base year i area j Different production technologies in various industries t Product output below; Base year i area j Different production technologies in various industries t Nitrous oxide emissions from industrial production.

4. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The N2O emission amount of the agricultural activity source in the base year is calculated, including: The N2O emission amount of the livestock and poultry breeding manure in the base year is calculated, including: ； ； ； Wherein, Base year i Regional livestock manure N2O emissions; Base year j Enterprise t Livestock species registered capital; Base year for a certain region j Enterprise t Livestock species registered capital comprehensive; Base year j Enterprise t Livestock species registered capital weight coefficient; For a certain region t Livestock species year-end inventory; Base year j Enterprise t Livestock species year-end inventory; For t Livestock species manure N2O emission factor; The N2O emission amount caused by the manure fertilization of the agricultural activity in the base year is calculated, including: ; wherein, is the base year i Nitrous oxide emissions from manure application in the region; is j enterprise t Annual excretion coefficient for the type of livestock and poultry; is t Average nitrogen content of excreta for the type of livestock and poultry; LR is the nitrogen loss rate through leaching, runoff, and volatilization pathways; The N2O emission amount caused by the excrement discharge of the rural population in the base year is calculated, including: ； wherein, is the base year i Nitrous oxide emissions from human excreta in the region; P i is the i is the number of rural population in the region; is the annual excretion coefficient of the rural population; is the average nitrogen content of human excreta; The N2O emission amount caused by the fertilizer application in the base year is calculated, including: ； wherein, as the base year i Nitrous oxide emissions resulting from regional fertilizer application; as n Amount of fertilizer type applied; as n Nitrogen content of fertilizer type; as the fertilizer nitrous oxide emission factor; n as the fertilizer type; The N2O emission amount caused by the atmospheric nitrogen deposition in the base year is calculated, including: ； wherein, is the base year i regional atmospheric nitrogen deposition of nitrous oxide emissions; S is the atmospheric nitrogen deposition coefficient; is the nitrous oxide emission factor caused by atmospheric nitrogen deposition; The N2O emission amount caused by the atmospheric nitrogen deposition and the leaching runoff in the base year is calculated, including: ； wherein is the base year i nitrous oxide emissions from leaching of the region; L is the nitrogen leaching coefficient; is the nitrous oxide emission factor from leaching.

5. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The N2O emission amount of the waste treatment source in the base year is calculated, including: The N2O emission amount of the sewage treatment in the base year is calculated, including: ； wherein, is the base year i Nitrous oxide emissions from regional wastewater treatment; is the base year j Annual wastewater treatment volume of the enterprise; is the base year j Nitrous oxide emission factors for the enterprise for different production processes or production technologies k Nitrous oxide emission factors for the enterprise for different production processes or production technologies ； wherein, is the base year i Nitrous oxide emissions from regional waste incineration plants; is j Annual waste incineration of the enterprise.

6. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The monthly N2O emission amount of the fuel combustion source in the target year is calculated, including: ； wherein, Target year i Region m Month Nitrous oxide emissions caused by fuel combustion; i Target year m Region k Month Energy consumption of energy type; k Standard coal conversion factor of energy type; Base year i Region m Month k Energy consumption of energy type.

7. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The monthly N2O emission amount of the industrial production source in the target year is calculated, including: ； wherein, Target year i Region m Monthly industrial production emissions source-induced nitrous oxide emissions; Target year i Region s Sector m Monthly on-line monitoring system nitrogen oxide emissions; Base year i Region s Sector m Monthly adipic acid or nitric acid product production; Monthly nitrous oxide emissions coefficient matrix for industrial production emissions sources by region: ； wherein, is i region s the adipic acid or nitric acid product output of the department; is the base year i the regional industrial sector nitrous oxide emissions.

8. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The monthly N2O emission amount of the pig type in the target year is calculated, including: ； Where, Target year i Region m Monthly N2O emissions from pig types by month; Base year i Region Pig type Monthly N2O emissions; Base year i Region m Pig types at the end of the year by month; Target year i Region m Pig types at the end of the year by month; ； wherein, is the year 2019 i region m month pig species year-end inventory; is the year 2019 i region m month corresponding to q quarter of the pig species year-end inventory; is the target year i region m month corresponding to q quarter of the pig species year-end inventory; The monthly N2O emission amount of the ruminant, egg poultry animal and equine animal in each region in the target year is calculated, including: ； Wherein, Target year i Region m Monthly nitrous oxide emissions from ruminants, egg-laying animals and equids; Base year j Enterprise a Nitrous oxide emissions by type of livestock and poultry; Target year a Type of livestock and poultry m Monthly feed production; Base year a Type of livestock and poultry m Monthly feed production.

9. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The monthly N2O emission amount of the manure nitrogen input in each region in the target year is calculated, including: = + ； wherein, Target year i Region m Monthly manure N input from agricultural activities Target year i Region m Monthly N2O emissions from manure N input from agricultural activities ； wherein, is the average nitrogen content of manure; is the nitrous oxide emission conversion factor; is the target year i is the region m is the monthly nitrous oxide emission from manure application of livestock and poultry breeding; is the target year i is the region m is the monthly nitrous oxide emission from excreta of urban and rural population; ； Wherein, Base year i Regional urban and rural population excreta caused by m Monthly nitrous oxide emissions; Target year m Monthly rural resident consumer price index for living; Base year m Monthly rural resident consumer price index for living; The monthly N2O emission amount caused by the nitrogen fertilizer and compound fertilizer fertilization in each region in the target year is calculated, including: ； Wherein, Target year i Region m Nitrous oxide emissions caused by nitrogen fertilizer and compound fertilizer application in the month; Base year i Nitrous oxide emissions caused by fertilizer application in the region; Indicates the target year i Region m Total amount of agricultural nitrogen, phosphorus and potassium fertilizer in the month; Indicates the base year i Region m Total amount of agricultural nitrogen, phosphorus and potassium fertilizer in the month; The monthly N2O emissions caused by atmospheric nitrogen deposition in each region in the target year are calculated, including: ； wherein, Target year i Region m Nitrous oxide emissions due to atmospheric nitrogen deposition by month; Atmospheric nitrogen deposition parameter; Nitrous oxide conversion factor for atmospheric nitrogen deposition; The monthly N2O emissions caused by leaching runoff in each region in the target year are calculated, including: ； wherein, Target year i Region m Nitrous oxide emissions from leaching runoff; Leaching runoff nitrogen input parameter; Leaching runoff nitrous oxide conversion factor.

10. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, The N2O emissions from sewage treatment plants in the target year are calculated, including: ； Where, Target year i Region m Monthly nitrous oxide emissions from wastewater treatment plants; Target year i Region j Enterprise m Monthly total nitrogen emissions from wastewater treatment plants with online monitoring systems; Base year i Region j Enterprise m Monthly total nitrogen emissions from wastewater treatment plants with online monitoring systems; Base year i Regional nitrous oxide emissions from wastewater treatment; The N2O emissions from waste incineration plants in the target year are calculated, including: ； Wherein, Target year i Region m Month Target year i Region j Enterprise m Month Base year i Region j Enterprise m Month Base year i Region 11. The multi-sector nitrous oxide emission accounting method based on multi-source heterogeneous big data according to claim 1, characterized in that, Also including: Data quality control of the calculated N2O emissions, including: Data cross-validation: By comparing the energy consumption, product output, and end-of-period inventory and fertilizer application data in the target year with the corresponding statistical items in the Environmental Statistics Yearbook, Energy Balance Table, Rural Statistics Yearbook, and Urban Statistics Yearbook at the provincial administrative unit and national levels, respectively, to ensure consistency with the official statistical system; Conducting historical trend consistency test, constructing time series data sets for energy consumption, product output, end-of-period inventory, and fertilizer application involved in each emission source, using moving average method and regression analysis method to fit trend line, verifying the statistical significance of the target year data and historical evolution law; Uncertainty analysis: Establish a three-level verification system, the first level is to compare the calculation results with the N2O emissions in the national greenhouse gas inventory, calculate the absolute error and relative error range to determine the benchmark deviation rate; The second level selects representative existing research results for horizontal comparison, and establishes a literature database to analyze the differences in emission intensity and spatial distribution characteristics; The third level uses Monte Carlo simulation technology to model the probability distribution of monthly emissions, determines the confidence interval of key input variables based on parameter sensitivity analysis, and finally quantifies the uncertainty of fuel combustion, industrial production, agricultural activities, and waste disposal at the monthly scale through variance decomposition method, forming an error propagation evaluation model covering all spatial and temporal dimensions.

12. A multi-department nitrous oxide emission accounting system based on multi-source heterogeneous big data, realized based on the method of any one of claims 1-11, characterized in that, The system comprises: The N2O emissions calculation module for the base year is used to calculate the N2O emissions of fuel combustion, industrial production, agricultural activities, and waste disposal in the base year; and The N2O emissions calculation module for the target year is used to calculate the monthly N2O emissions of fuel combustion, industrial production, agricultural activities, and waste disposal in the target year, and to add up the N2O emissions in the target year.

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