A multidimensional approach to the influence of wind on the variations of particulate matter and associated heavy metals in Ploiesti city, Romania

Romanian Journal of Physics

Volumn 61, Issue 7-8, 2016, Pages 1354-1368

  Dunea, D ^a   Iordache, S ^a   Radulescu, C ^a   Pohoata, A ^a   Dulama, I D ^a  

^a VALAHIA UNIVERSITY OF TARGOVISTE   (Romania)

Author keywords

Air mass backward trajectory model; Cross spectrum analysis; Heavy metals; ICP MS; Meteorological time series; PM10; PM2.5

Indexed keywords

EID: 84990946675     PISSN: 1221146X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. D. Dunea, St. Iordache, Time Series Analysis of Air Pollutants Recorded from Romanian EMEP Stations at Mountain Sites, Environ. Eng. Manag. J., 14, 11, 2725-2735 (2015).
2. Y. Olsen, D.G. Karottki, D.M. Jensen, G. Bekö, B.U. Kjeldsen, G. Clausen, et al., Vascular and lung function related to ultrafine and fine particles exposure assessed by personal and indoor monitoring: a cross-sectional study. Environ. Health 13, 1,112 (2014).
3. WHO Regional Office for Europe, Review of evidence on health aspects of air pollution - REVIHAAP Project Technical Report, on http://www.euro.who.int/_data/assets/ pdf_file/0004/193108/REVIHAAP-Final-technical-report-final-version.pdf?ua=1 (2013).
4. H.Y. Liu, E. Skjetne, M. Kobernus, Mobile phone tracking: in support of modelling traffic-related air pollution contribution to individual exposure and its implications for public health impact assessment. Environ. Health 12: 93, doi: 10.1186/1476-069X-12-93 (2013).
5. St. Iordache, D. Dunea, E. Lungu, L. Predescu, D. Dumitru, C. Ianache, R. Ianache, A cyberinfrastructure for air quality monitoring and early warnings to protect children with respiratory disorders - Proceedings of Control Systems and Computer Science (CSCS), 20th International Conference on Control Systems and Computer Science, pp. 789-796, doi: 10.1109/CSCS.2015.39 (2015).
6. M. Brauer, M. Amann, R.T. Burnett, A. Cohen, F. Dentener, et al, Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution. Environ. Sci. Technol. 46, 652-660 (2012).
7. S. Hormann, B. Pfeiler, E. Stadlober, Analysis and prediction of particulate matter PM10 for the winter season in Graz, Austrian J. Stat. 34, 4, 307-326 (2005).
8. J. Hooyberghs, C. Mensink , G. Dumont, F. Fierens, O. Brasseur, A neural network forecast for daily average PM10 concentrations in Belgium, Atmos. Environ. 39, 3279-3289 (2005).
9. X. Feng, Q. Li, Y. Zhu, J. Hou, L. Jin, J. Wang, Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation, Atmos. Environ. 107, 118-128 (2015).
10. D. Dunea, A. Pohoata, St. Iordache, Using wavelet - feedforward neural networks to improve air pollution forecasting in urban environments, Environ. Monit. Ass., 187, 477, 1-16 (2015).
11. St. Iordache, D. Dunea, Current Trends of Major Air Pollutants in an Urban-Industrial Area from Ploiesti City, Proc.15th International Multidisciplinary Scientific GeoConference, SGEM2015, Book4, pp. 913-920. doi: 10.5593/SGEM2015/B41/S19.118 (2015).
12. D. Dunea, An exploratory analysis of PM10 particulate matter relationships with weather data and spatial variation, Proc.14th International Multidisciplinary Scientific GeoConference, SGEM2014, Book 4 ,Vol. 2, pp 273-280 (2014).
13. I. Barmpadimos , C. Hueglin, J. Keller, S. Henne, A.S.H. Prevot, Influence of meteorology on PM10 trends and variability in Switzerland from 1991 to 2008, Atmos. Chem. Phys., 11, 1813-1835 (2011).
14. P. Bloomfield, Fourier Analysis of Time Series: An Introduction. John Wiley and Sons, Inc., 1976.
15. St. Iordache, D. Dunea, Cross-spectrum analysis applied to air pollution time series from several urban areas of Romania, Environ. Eng. Manag. J. 12, 4, 677-684 (2013).
16. T. Hiesa, R. Treffeisen, L. Sebald, E. Reimer, Spectral analysis of air pollutants. Part 1: elemental carbon time series, Atmos. Environ., 34, 21, 3495-3502 (2000).
17. USEPA method 3052 - Microwave assisted acid digestion of siliceous and organically based matrices (1996).
18. Compendium of Methods for the Determination of Inorganic Compounds in Ambient Air. Compendium Method IO-3.5 - Determination of Metals in Ambient Particulate Matter using Inductively Coupled Plasma/Mass Spectrometry (ICP/MS), U.S. Environmental Protection Agency, (1999).
19. A.F. Stein, R.R. Draxler, G.D. Rolph, B.J.B. Stunder, M.D. Cohen, F. Ngan, NOAA’s HYSPLIT atmospheric transport and dispersion modeling system, Bull. Amer. Meteor. Soc., 96, 2059-2077 (2015).
20. L. Labzovskii, F. Toanca, D. Nicolae, Determination of Saharan Dust Properties over Bucharest, Romania, Part 2: Study Cases Analysis, Rom. J. Phys. 59, 1097-1108 (2014).
21. S. Dilmaghani, Spectral analysis of air quality data, Ph.D. Dissertation, University of Southern California, Los Angeles, CA (2007).
22. M. Oprea, C. Ianache, S.F. Mihalache, E.G. Dragomir, D. Dunea, St. Iordache, T. Savu, On the development of an intelligent system for particulate matter air pollution monitoring, analysis and forecasting in urban regions. In: Proc. 19th International Conference on System Theory, Control and Computing (ICSTCC), pp: 711-716, doi: 10.1109/ICSTCC.2015.7321377, (2015).
23. C. Radulescu, St. Iordache, D. Dunea, C. Stihi, I.D. Dulamă, Risks assessment of heavy metals on public health associated with atmospheric exposure to PM2.5 in urban area, Rom. J. Phys., 60, 7-8, 1171-1182 (2015).