排序方式: 共有3条查询结果,搜索用时 15 毫秒
1
1.
2.
A. Karanasiou K. Eleftheriadis S. Vratolis P. Zarbas N. Mihalopoulos C. Mitsakou C. Housiadas M. Lazaridis J. Ondracek L. Dzumbova 《Water, Air, & Soil Pollution: Focus》2008,8(1):71-76
Aerosol particles in the workplace of a detergent industry were sampled during July 2005 by a Berner low-pressure impactor.
The samples were analyzed by atomic absorption spectrometry and ion chromatography in order to determine the size distribution
of metallic elements and water-soluble inorganic ions. The size distributions of some characteristic metallic elements (Cu,
Fe, Al) were unimodal with their maximum found in coarse particles. Among the water-soluble aerosol components , , Cl−, and Ca++ were the major contributors to total particle mass. The lung deposition resulting from the partially hygroscopic aerosol
is estimated. The calculated lung deposition reveals the impact of separate chemical aerosol compounds on the levels of the
inhaled dose. The differences observed between the total and regional deposition of the different compounds appear mainly
due to their different size distributions.
An erratum to this article can be found at 相似文献
3.
Lazaridis M. Spyridaki A. Solberg S. Kallos G. Svendby T. Flatøy F. Drossinos I. Housiadas C. Smolik J. Colbeck I. Varinou M. Gofa F. Eleftheriadis K. Zdimal V. Georgopoulos P. G. 《Water, Air, & Soil Pollution: Focus》2004,4(4-5):3-21
The combined UAM-AERO/RAMS modeling system has been applied to study the dynamics of photochemical gaseous species and particulate matter processes in the eastern Mediterranean area between the Greek mainland and the island of Crete. In particular, the modeling system is applied to simulate atmospheric conditions for two periods, i.e., 13-16 July 2000 and 26-30 July 2000. The spatial and temporal distributions of both gaseous and particulate matter pollutants have been extensively studied together with the identification of major emission sources in the area. New pre-processors were developed for the UAM-AERO model for evaluating detailed emission inventories for biogenic compounds, resuspended dust and sea salt. Comparison of the modeling results with measured data was performed and satisfactory agreement was found for a number of gaseous species. However, the model underestimates the PM10 measured concentrations during summer. This is mainly due to the considerable underestimation of particulate matter emissions and in particular dust resuspension, the effect of forest fire emissions and the contribution of Saharan dust episodes. 相似文献
1