| Since the industrial revolution,human production and life have increased greenhouse gas emissions,resulting in climate change has become a constraint on social and economic sustainable development of important factors.In this thesis,the industrial CO2 emission inventory of Handan in 2017 with high spatial and temporal resolution is constructed based on the industrial energy consumption data of Handan in the second national pollution source survey,the uncertainty of the total quantity is analyzed quantitatively.The main research contents include:(1)establishing the inventory of CO2 emissions from industrial sources in Handan from bottom to top,accounting the total amount of CO2 emissions,and cross-checking with the Statistical Yearbook Data;At the same time,the uncertainty of 95%confidence interval of the total CO2 emission from industrial sources in Handan Handan is estimated to analyze the characteristics of industrial structure and energy structure.(2)designing the models of "Working day+weekend" and "Working day+Spring Festival holiday" to decompose the CO2 emissions from different industry facilities in time,and establishing the industrial source CO2 emission grid of 1 km × 1 km in Handan,the spatial characteristics of monthly,daily and temporal CO2 emissions from industrial sources in Handan were analyzed.The findings suggest:(1)In 2017,the total CO2 emission from industrial sources in Handan was 108.16 million tons,and energy combustion emission was 95.13 million tons,accounting for 87.96%of the total industrial emissions.Industrial processes emitted 13.024 million tons,accounting for 12.04%of the total industrial emissions.In terms of emissions from energy combustion,the top three industrial sectors in terms of emissions are ferrous metal smelting and pressing industry,electric power and heat production and supply industry,and non-metallic mineral products industry.According to the type of energy accounting,coke is the first major energy in energy combustion emissions.The CO2 emissions from the combustion of coal products such as bituminous coal,raw coal and anthracite exceed 60%.The most widely used is diesel.In the process emissions,the iron and steel industry has the most emissions,reaching 7.3286 million tons,accounting for 56.27%of the total process emissions.(2)The uncertainty analysis of industrial CO2 emission in Handan by energy type shows that the uncertainty range is-4.44%～4.38%,the uncertainty range of energy combustion is-4.76%～4.37%,and the uncertainty range of process emission is-3.08%～2.88%.The uncertainty analysis of industrial sector shows that the total uncertainty ranges from-17.73%to 18.83%.(3)The monthly change of CO2 emissions from industrial sources in Handan in 2017:the lowest in December(8 009.53 kt),the highest in July(10 170.58 kt),which decreased from January to February,increased from March to May,adjusted in June,and decreased from July to December;The trend of daily CO2 emissions from industrial sources is weekday>Saturday>Sunday.The day before the Spring Festival emissions decrease,the Spring Festival holiday emissions are relatively gentle,the day after the Spring Festival emissions increase;The variation trend of hourly emissions is that the emissions during working hours in the morning and afternoon are more than those during other time periods,while the emissions during lunch and lunch break(12:00 and 13:00)have a decreasing trend,and the emissions at night are relatively flat.In the emission distribution,there are more grids in weekdays and 08:00 than in other time periods.At 12:00 and 13:00 during the lunch break,the number of emission grids decreased and the emission intensity was weak.Meanwhile,the number and intensity of the grids at night were lower than those during the day.By compiling an inventory of CO2 emissions from Handan’s industrial sources,we can grasp the status of energy use and CO2 emissions in various regions and industries,identification of greenhouse gas emissions and their emission characteristics,composition and distribution of major industries,key enterprises and regions,through the analysis of data to accurately grasp the key emission sources,it also provides the basic data and scientific basis for the atmospheric greenhouse gas diffusion model with matching resolution. |
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