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Identification And Model Validation Of Stationary Sources Emission Symbolic Elements

Posted on:2020-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:H Q MaFull Text:PDF
GTID:2381330578465130Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
Particulate matter discharged from stationary sources is an important pollutant in air pollution.Especially in China,atmospheric particulate matter has become the primary pollutant in many cities.Exploring the characteristics of particulate matter discharged from different fixed sources has guiding significance for controlling the reduction of particulate matter emissions from various sources.At the same time,the identification of each source identification element can lay the foundation for the analysis of atmospheric particulate source.Therefore,this paper is aimed at seven kinds of biomass straw,such as cotton,corn,sorghum,grain stem,walnut branch,soybean and sesame burning bottom ash in Hebei Province,15 coal-fired power plant fly ash PM10 and PM2.5,atmosphere of three sampling points in a certain city.For the sample,39 inorganic element data were obtained by simultaneous measurement using ICP-MS and ICP-OES,and data of soluble ions required for the atmospheric sample were obtained by using IC measurement.The ash yield,size distribution,relationship between main elements and total elements,composition spectrum,enrichment factors and identification elements that can qualitatively judge the impact of human activities on particulate matter are investigated of these bottom ashes.Investigated the distribution curve of fly ash particles in power plants,the distribution in PM10 and PM2.5.5 of the total content,each element's distribution in PM10 and PM2.5,Relative enrichment factor and identification elements.Analyzed the analytical results of atmospheric samples,and the identification elements determined in this paper were verified by comparison and back-translation.It was found that the ash yield of different straws is different and is not proportional to the particle size.Si,Ca,Mg,K,P,Al,Na and Ti are the eight main elements of the bottom ash sample of bio-stalk fuel,and their content has a good positive correlation with the total content of 39 elements?R2=0.99,p<0.001?.The enrichment factor of Cu and Zn is higher than 10,indicating that the effect of the bottom ash poured on the acceptor soil is significant.The identifying elements of corn and corn stalk were Ba and Mn,the identifying elements of cotton and sesame were Sr,and the identifying elements of sorghum,walnut branch and soybean were Ti.The average values of PM10 and PM2.5 in the fly ash of the power plant are 0.29±0.05g/g,0.40±0.08g/g,indicating that the particulate matter is enriched in small particle sizes.In general,PM2.5 has a higher relative enrichment factor value than the corresponding inorganic element in PM10,that is,it is more likely to cause condensation,which is also more corresponding to the enrichment of particulate matter in small particle size.The identification elements of FA3,FA4,FA8,FA10,FA11,FA12,FA133 and FA155 are Al,Si and Ca.Al,Si and Fe are for FA1,FA2,FA5,FA6,FA7,FA9.The contribution rate of biomass burning sources to atmospheric pollution at the three sampling points was12.59%,25.3%,and 18.39%,respectively,and the proportion of coal-fired pollution sources in sampling point 2 was 13.79%.
Keywords/Search Tags:biomass straw, coal-fired power plant, atmospheric sample, emission characteristics, identification element, model source analy
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