Study On Pollution Characteristics Of Concentrations,it's Ions In Atmospheric Particulate Matters And Change Trend In Main,Guizhou Province

Presently,air pollution is becoming more and more serious in China,atmospheric particulate matters aroused people's more and more attention.Atmospheric particulate matters,which can affect the body health,change the climate and reduce the visibility,is the main factor of haze,meanwhile,it is one of the most serious environment problem.With the rapidly development of economy,urban population,and the consumption coal and oil fuel,atmospheric environment quality are facing challenges in Guizhou province.TSP,PM₁₀ and PM_2.5 samples were seasonally collected in 10 sites of several cities of Guizhou province?including Guiyang,Anshun,Zunyi,Bijie,Panxian,Duyun?and one background site of Leigong Mountain during January 2012 to December 2015.Used IC determination of anionic(F^-,Cl^-,NO₃^-,SO₄^2-),AAS determination of cation(K⁺,Ca²⁺,Na⁺,Mg²⁺),NH₄⁺ determined by spectrophotometry,the analysis of ions in atmospheric particulate matters and its level of pollution,pollution characteristic and changed trend.TrajStat model was employed to analysis backward trajectory clustering,to explore source and transport pattrern.The results showed that:?1?From 2012 to 2015,TSP,PM₁₀,PM_2.5 average mass concentrations was16.56⁶58.45?g/m³,6.66³74.83?g/m³,3.20²52.57?g/m³,in main of Guizhou province.The seasonal distribution showed that the average mass concentrations of atmospheric particles were higher in winter and spring than in summer.The spatial distribution showed that the pollution of atmospheric particles was serious in Guiyang,Bijie,Duyun.PM_2.5 as a primary pollutant of atmosphere pollution in Guizhou.Atmospheric particulate matters pollution was downward in main of Guizhou province.?2?The ions have positive correlation with atmospheric particles average massconcentrations in seasonal and spatial distribution characteristics.The Changed trend showed that SO₄^2-,NO₃^-,NH₄⁺ mass concentrations was downward,Ca²⁺ mass concentrations no obvious change.?3?From 2013 to 2015,SNA(SO₄^2-,NO₃^-,NH₄⁺)of TSP,PM₁₀,PM_2.5 was accounted for 3.09⁶4.17%,6.29⁶0.43%,10.00⁸5.22%,respectively.The seasonal distribution showed that SNA of atmospheric particles were higher in winter,autumn and spring.The spatial distribution showed that SNA of atmospheric particles was higher in Gaopo and Leigong Mountain.The particulate matters type showed that SNA of fine particulate matters was higher in coarse particulate matters.?4?From 2012 to 2015,[NO₃^-]/[SO₄^2-] of TSP,PM₁₀,PM_2.5 was 0.03⁰.85,0.01⁰.91,0.02⁰.86,respectively.The seasonal distribution showed that[NO₃^-]/[SO₄^2-] of atmospheric particles were higher in winter.The spatial distribution showed that [NO₃^-]/[SO₄^2-] of atmospheric particles was lower in Gaopo and Fenghuang Mountain than Guiyang and Zunyi.[NO₃^-]/[SO₄^2-] of atmospheric particles was upward in main,Guizhou province and the air pollution mainly belonged to coal-burning pattern,to compound pollution?5?From 2013 to 2015,AE/CE of TSP,PM₁₀,PM_2.5 was 0.32².78,0.41³.47,0.49⁴.41.The seasonal distribution showed that AE/CE of atmospheric particles was higher in autumn and winter than in summer and spring.The particulate matters type showed that AE/CE of atmospheric particles in fine particulate matters was higher in coarse particulate matters.AE/CE of atmospheric particles was upward in main,Guizhou province.?6?The study by using Backward trajectory suggest that transport of anthropogenic pollution from Myanmar and Yunnan province,and Anshun and guiyang is affected by the air masses from Panxian.