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Concentration characteristics of extractable organohalogens in PM2.5 and PM10 in Beijing, China

机译:中国北京PM2.5和PM10中可萃取有机卤素的浓度特征

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PM2.5 and PM10 samples were simultaneously collected at a downtown site in Beijing from May 2002 to April 2003 and analyzed by instrumental neutron activation analysis (INAA) and gas chromatography (GC) combined with organic solvent extraction method for the concentrations and distributions of extractable organohalogens (EOX), including extractable organo-chlorine (EOCl), -bromine (EOBr) and -iodine compounds (EOI), and organochlorinated pesticides (OCPs) and polychlorinated biphenyls (PCBs). The concentrations of EOX were increasing in the order of EOCl EOBr similar to EOI. EOCl accounted for 73-88% and 69-91% of EOX in PM2.5 and PM 10, respectively, suggesting that EOCl was the major component of the organohalogens in the atmosphere. The relative proportions of the known organochlorines (such as HCHs, DDTs, chlordanes, and PCBs) to total EOCl were 0.04-0.7% and 0.06-0.3% in PM2.5 and PM10, respectively, which implied that most of EOCl measured in aerosol was unknown. The ratios of alpha/gamma-HCH (0.9-1.5) and p,p'-DDE + DDD/p,p'-DDT (0.2-0.5) revealed the presence of the recent use of lindane and DDTs or impure dicofol in Beijing. In the plots of the logarithm of the OCPs concentrations versus reciprocal temperature (1/T), their linear relations were observed for PM2.5, which could be partly explained by temperature differences, but poor linearity for PM10. (c) 2005 Elsevier Ltd. All rights reserved.
机译:从2002年5月至2003年4月在北京市中心同时采集PM2.5和PM10样品,并通过仪器中子活化分析(INAA)和气相色谱(GC)结合有机溶剂萃取方法进行分析,以测定可萃取物的浓度和分布。有机卤素(EOX),包括可萃取的有机氯(EOCl),-溴(EOBr)和-碘化合物(EOI),以及有机氯农药(OCP)和多氯联苯(PCB)。与EOI相似,EOX的浓度按EOCl EOBr的顺序增加。在PM2.5和PM 10中,EOCl分别占EOX的73-88%和69-91%,这表明EOCl是大气中有机卤素的主要成分。在PM2.5和PM10中,已知有机氯(如六氯环己烷,滴滴涕,氯丹和PCBs)相对于总EOCl的相对比例分别为0.04-0.7%和0.06-0.3%,这意味着大多数EOCl是以气溶胶形式测量的未知。 α/γ-六氯环己烷(0.9-1.5)和p,p'-DDE + DDD / p,p'-DDT(0.2-0.5)的比率表明北京最近使用林丹和DDT或不纯的三氯杀螨醇。在OCPs浓度对数相对温度(1 / T)的对数图中,观察到了PM2.5的线性关系,这可以部分解释为温度差,但PM10的线性差。 (c)2005 Elsevier Ltd.保留所有权利。

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