Emission Inventory And Uncertainty Analysis Of Air Pollution Sources In Xin Zhou City

With the improvement of the comprehensive economic strength of Shanxi Province,the environmental problems characterized by regional comprehensive air pollution have become increasingly prominent.As a city adjacent to the provincial capital,Xinzhou has been affected by regional transmission and urbanization in recent years,and the atmospheric environment.Quality issues are getting more and more attention.In response to the requirements of the relevant departments of Xinzhou,we found out the situation of pollutants discharged from different pollution sources in the city,and comprehensively carried out the establishment of the air pollution source emission inventory in Xinzhou.This study establishes a list of air pollution sources in Xinzhou,and based on this,quantitative analysis of uncertainty is provided.The research results provide reliable scientific basis and basic data for improving ambient air quality,and control of air pollution and related emission reduction policies.The formulation has certain reference and has important practical significance.According to the source of emission sources,this study divides pollution sources into three types:Point source,Surface source and Line source,covering fixed Combustion sources,Process sources,Mobile sources,Dust sources,Agricultural sources,Waste treatment sources,and Biomass burning.Through the interpretation of relevant literature and documents,select appropriate emission factors,collect activity level data of different pollutants of each pollution source,and estimate SO₂,NO_x,NH₃,using emission factor method.Emissions of six pollutants of PM_2.5,PM₁₀ and CO.Using Monte Carlo simulation analysis method,the probability distribution of pollutant emission factors and activity levels under the input 95%confidence interval,the simulation method uses computer software to extract samples in the probability distribution function,and finally obtains 95%of emissions in various industries.Probability,the range of possible emissions,this article through Monte Carlo simulation,for pollutant emissions.SO₂pollutants determine the SO₂ emission range of different sources and derive uncertainty about SO₂ from different sources.The main conclusions are as follows:?1?In 2016,the emissions of SO₂,NO_x,NH₃,PM_2.5,PM₁₀ and CO from air pollutants in Zhangzhou City were 138,700t,85,100t,73,500t,34,400t,69,975t and 448,800t,respectively.The emissions of SO₂ in Fossil fuel sources,Process sources,Mobile sources,and Biomass combustion sources account for 66.50%,33.00%,0.40%,and 0.10%of total SO₂ emissions,respectively;NO_x in Fossil fuel sources,Process sources,and Mobile source and Biomass combustion sources account for 56.00%,7.00%,37.00%,and 0.10%of total NO_x emissions,respectively;NH₃ emissions from Fossil fuel sources,Process sources,Mobile sources,and Agricultural sources account for the total NH₃ emissions,respectively.Emissions of 0.08%,0.03%,0.22%,and 96.00%;PM_2.5.5 emissions from Fossil fuel sources,Process sources,Mobile sources,Dust sources,and Biomass combustion sources accounted for57.00%,11.00%,5.00%,22.00%,2.10%of total PM_2.5 emissions,respectively;PM₁₀ emissions in Fossil fuel sources,Process sources,Mobile sources,Dust sources and Biomass combustion sources accounted for 44.00%,9.00%,2.00%,39.00%,and 1.10%of PM₁₀ total emissions,respectively;CO emissions from Fossil fuel sources,Process sources,Mobile sources,and Biomass combustion sources accounted for 73.00%,20.00%,6.00%,and 1.00%of total CO emissions,respectively.?3?In Fossil fuel sources,the share of SO₂,NO_x,NH₃,PM_2.5,PM₁₀,and CO to fossil fuel sources is 17.90%,9.20%,0.01%,3.80%,6.00%,and 63.00%,respectively.In the source,the share of SO₂,NO_x,NH₃,PM_2.5,PM₁₀,and CO respectively to the Process source is 30.30%,6.90%,0.02%,2.50%,4.00%,and63.00%;SO₂,NO_x in the Moving source the sharing ratios of NH₃,PM_2.5,PM₁₀,and CO to Mobile sources are 0.90%,49.10%,0.30%,2.60%,2.80%,and 44.40%,respectively.Among the Dust sources,PM_2.5 and PM₁₀ are respectively used to raise Dust sources,the sharing rate is 21.60%,78.40%.In Biomass combustion sources,the share of SO₂,NO_x,NH₃,PM_2.5,PM₁₀,and CO to Biomass combustion sources is 1.80%,1.10%,0.90%,and 9.30%,10.00%,76.80%respectively.?4?Monte Carlo simulation analysis method was used to study the probability distribution of pollutant emission factors and activity levels under the input 95%confidence interval.The simulation method used computer software to extract samples in the probability distribution function,and finally obtained the emissions of various industries.The range of emissions that may occur at a 95%probability.In this study,Monte Carlo simulation was used to determine the SO₂ emission range of different emission sources for SO₂ pollutants with large emissions,and the uncertainty of SO₂ from different emission sources was obtained.The results show that the simulation results of total anthropogenic SO₂ emissions in Xinzhou in 2016 showed a log-normal distribution with an uncertainty of-74.62%²0.94%in the 95%confidence interval.