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Air pollution study in macdonia using a moss biomonitoring technique, ICP-AES and AAS

机译:使用苔藓生物监测技术,ICP-AES和AAS在马其顿进行空气污染研究

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In th framework of the International Cooperative Programme on Effects of Air Pollution on Natural Vegetation and Crops under the auspices of the United Nations Economic Commission for Europe (UNECE-ICP Vegetation) Convention on Long-Range Transboundary Air Pollution (LRTAP), in 2002 and 2005, a moss biomonitoring technique was applied to air pollution studies in the Republic of Macedonia. The third moss survey took place in August and September 2010 when 72 samples of the terrestrial mosses Homalothecium lutescens and Hypnum cupressiforme were collected over the territory of the Republic of Macedonia, using the same sampling network grid as for the previous surveys. Using inductively coupled plasma-atomic emission spectrometry (ICP-AES) and atomic absorption spectrometry (AAS), a total of 18 elements (Al, Ba, Ca, Cd, Cr, Cu, Fe, Hg, K, Li, Mg, Mn, Ni, P, Pb, Sr, V and Zn) were determined. To reveal hidden multivariate data structures and to identify and characterize different pollution sources, Principal Component Analysis was used. Distributional maps were prepared to point out the regions most affected by pollution and related to known sources of contamination. As in the previous surveys, the regions near the towns of Skopje, Veles, Tetovo, Radovi? and Kavadarci were found to be most affected by pollution, even though the median elemental content in the mosses in 2010 for Cd, Cr, Cu, Ni, Pb and Zn was slightly lower than in the previous surveys. For the first time, P content in the moss samples was analyzed, and a higher content of this element as well as K in the mosses was observed in the agricultural regions of the country.
机译:在联合国欧洲经济委员会(UNECE-ICP植被)的《远距离越境空气污染公约》(LRTAP)的主持下,国际空气污染对自然植被和农作物的影响国际合作方案的框架于2002年和2005年,在马其顿共和国,将苔藓生物监测技术应用于空气污染研究。第三次青苔调查于2010年8月和2010年9月进行,当时在马其顿共和国境内采集了72种陆地青苔和小钩虫的样品,使用的网格与以前的调查相同。使用电感耦合等离子体原子发射光谱(ICP-AES)和原子吸收光谱(AAS),总共18种元素(Al,Ba,Ca,Cd,Cr,Cu,Fe,Hg,K,Li,Mg,Mn (Ni,P,Pb,Sr,V和Zn)测定。为了揭示隐藏的多元数据结构并识别和表征不同的污染源,使用了主成分分析。准备了分布图以指出受污染影响最大并与已知污染源相关的区域。和以前的调查一样,斯科普里,韦莱斯,泰托沃,拉多维附近的地区?尽管2010年Cd,Cr,Cu,Ni,Pb和Zn的苔藓中元素含量中位数比以前的调查略低,但发现Kavadarci和Kavadarci受污染的影响最大。首次分析了苔藓样品中的P含量,并在该国的农业地区观察到该元素以及苔藓中的K含量更高。

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