光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2015年
6期
1724-1729
,共6页
陈曦%杜鹏%关清%冯旭%徐东群%林少彬
陳晞%杜鵬%關清%馮旭%徐東群%林少彬
진희%두붕%관청%풍욱%서동군%림소빈
ICP-MS%ICP-AES%雾霾PM2.5%污染来源解析
ICP-MS%ICP-AES%霧霾PM2.5%汙染來源解析
ICP-MS%ICP-AES%무매PM2.5%오염래원해석
ICP-MS%ICP-AES%Haze%PM2 .5%Source apportionment
研究北京市冬季雾霾天气可吸入细颗粒物(PM2.5)中化学组成及来源。采用电感耦合等离子体质谱法(ICP‐MS)与电感耦合等离子体发射光谱法(ICP‐AES)分析2013年1—2月北京某城区采集获得的PM2.5样品,通过测试其中40种元素的总量分析了 PM2.5元素污染特征,并辅以绝对主因子分析法对雾霾天气PM2.5的污染来源进行解析。研究观察期间,Li ,Mn ,Pb ,S等23元素体积浓度近似正态分布,参考我国环境空气质量标准,As含量几何均值超过参考限值的2倍,部分PM2.5样品Pb的24 h浓度均值超过参考年均限值。从各元素含量所占颗粒物的质量分数来看,Fe ,Zn ,Pb ,Ti等含量超过0.1%,是PM2.5中的主要重金属离子,Mn ,Cu ,As ,Se等含量超过颗粒物质量分数0.01%,是PM2.5中的重要的无机金属污染物,这些金属成分来源及健康影响值得重视。本研究应用ICP‐MS和ICP‐AES测试结果进行PM2.5来源解析,因子分析法选定了6个主要污染源类型,分别为“工业粉尘与人为活动污染源”、“生物质燃烧和建筑尘污染源”、“土壤及风沙扬尘源”、“化石燃料污染源”、“电子废弃物污染源”和“区域性迁移污染源”,其方差贡献率分别为40.3%,27.0%,9.1%,4.9%,4.8%和4.6%。ICP‐MS和ICP‐AES用于PM2.5中多元素准确、快速分析及获得多组分有效监测数据具有明显优势,可用于PM2.5污染来源解析。本研究为相关部门在制定减排控污和人群健康影响的预防控制政策时,解析相应污染成分的来源,并采取针对性措施加以管理和控制提供了科学依据,提示应重视雾霾污染源区域性迁移效应。
研究北京市鼕季霧霾天氣可吸入細顆粒物(PM2.5)中化學組成及來源。採用電感耦閤等離子體質譜法(ICP‐MS)與電感耦閤等離子體髮射光譜法(ICP‐AES)分析2013年1—2月北京某城區採集穫得的PM2.5樣品,通過測試其中40種元素的總量分析瞭 PM2.5元素汙染特徵,併輔以絕對主因子分析法對霧霾天氣PM2.5的汙染來源進行解析。研究觀察期間,Li ,Mn ,Pb ,S等23元素體積濃度近似正態分佈,參攷我國環境空氣質量標準,As含量幾何均值超過參攷限值的2倍,部分PM2.5樣品Pb的24 h濃度均值超過參攷年均限值。從各元素含量所佔顆粒物的質量分數來看,Fe ,Zn ,Pb ,Ti等含量超過0.1%,是PM2.5中的主要重金屬離子,Mn ,Cu ,As ,Se等含量超過顆粒物質量分數0.01%,是PM2.5中的重要的無機金屬汙染物,這些金屬成分來源及健康影響值得重視。本研究應用ICP‐MS和ICP‐AES測試結果進行PM2.5來源解析,因子分析法選定瞭6箇主要汙染源類型,分彆為“工業粉塵與人為活動汙染源”、“生物質燃燒和建築塵汙染源”、“土壤及風沙颺塵源”、“化石燃料汙染源”、“電子廢棄物汙染源”和“區域性遷移汙染源”,其方差貢獻率分彆為40.3%,27.0%,9.1%,4.9%,4.8%和4.6%。ICP‐MS和ICP‐AES用于PM2.5中多元素準確、快速分析及穫得多組分有效鑑測數據具有明顯優勢,可用于PM2.5汙染來源解析。本研究為相關部門在製定減排控汙和人群健康影響的預防控製政策時,解析相應汙染成分的來源,併採取針對性措施加以管理和控製提供瞭科學依據,提示應重視霧霾汙染源區域性遷移效應。
연구북경시동계무매천기가흡입세과립물(PM2.5)중화학조성급래원。채용전감우합등리자체질보법(ICP‐MS)여전감우합등리자체발사광보법(ICP‐AES)분석2013년1—2월북경모성구채집획득적PM2.5양품,통과측시기중40충원소적총량분석료 PM2.5원소오염특정,병보이절대주인자분석법대무매천기PM2.5적오염래원진행해석。연구관찰기간,Li ,Mn ,Pb ,S등23원소체적농도근사정태분포,삼고아국배경공기질량표준,As함량궤하균치초과삼고한치적2배,부분PM2.5양품Pb적24 h농도균치초과삼고년균한치。종각원소함량소점과립물적질량분수래간,Fe ,Zn ,Pb ,Ti등함량초과0.1%,시PM2.5중적주요중금속리자,Mn ,Cu ,As ,Se등함량초과과립물질량분수0.01%,시PM2.5중적중요적무궤금속오염물,저사금속성분래원급건강영향치득중시。본연구응용ICP‐MS화ICP‐AES측시결과진행PM2.5래원해석,인자분석법선정료6개주요오염원류형,분별위“공업분진여인위활동오염원”、“생물질연소화건축진오염원”、“토양급풍사양진원”、“화석연료오염원”、“전자폐기물오염원”화“구역성천이오염원”,기방차공헌솔분별위40.3%,27.0%,9.1%,4.9%,4.8%화4.6%。ICP‐MS화ICP‐AES용우PM2.5중다원소준학、쾌속분석급획득다조분유효감측수거구유명현우세,가용우PM2.5오염래원해석。본연구위상관부문재제정감배공오화인군건강영향적예방공제정책시,해석상응오염성분적래원,병채취침대성조시가이관리화공제제공료과학의거,제시응중시무매오염원구역성천이효응。
To investigate the characteristics of chemical constitute and pollution sources of aerosol fine particulate matter during haze‐fog day in Beijing in winter 2013 .The samples of PM2.5 were collected in Beijing from January to February ,2013 .The technique of ICP‐MS and ICP‐AES coupled with procedure of bathing‐ultrasonic extraction was applied to determine the concen‐tration of 40 elements in the aerosol samples to analyze the characteristics of elements distribution statistically .The absolute principal factor method was used to apportion the pollution sources of PM 2.5 during the haze weather in Beijing city in winter 2013 .The results showed that during the period of sampling ,the volume concentration of Li ,Mn ,Pb ,S etc .obeyed normal distribution approximately ,and according to National Ambient Air Quality Standard issued by Ministry of Environmental Protec‐tion of the People’s Republic of China ,the geometric mean concentration of As was twice the annual limit of standard reference , while Pb of some aerosol samples beyond the annual limit of standard reference respectively .The mass fraction of Fe ,Zn ,Pb , Ti accounted for over 0 .1% ,while that of Mn ,Cu ,As ,Se etc .0.01% .These elements were primary inorganic pollutants ,and especially the hazards and sources of As and Pb should be concerned .There were 6 main pollution sources were chosen by the factor analysis method ,including industrial dust and human beings activities ,biomass combustion and building dust ,soil and sand dusts ,fossil fuel ,electronic waste and metal smelting ,with the variance contribution rate of 40.3% ,27.0% ,9.1% , 4.9% ,4.8% and 4.6% respectively .ICP‐MS and ICP‐AES can be applied to analyzing multi‐elements in PM2.5 accurately and quickly to facilitate source apportionment ,and it indicated that the relevant pollution sources should be considered and the effect of regional transferring of haze pollution sources should be taken into account ,and specific measures should be taken for control .