Please use this identifier to cite or link to this item: http://elartu.tntu.edu.ua/handle/lib/30199
Title: SEASONAL AND SPATIAL VARIATION OF PM10 IN AN URBAN AREA FROM ROMANIA
Authors: Dragomir Balanica, Mariana Carmelia
Muntenita, Cristian
Simionescu, Aurel Gabriel
Zeca, Daniela Ecaterina
Kramar, Iryna
Marynenko, Nataliia
Affiliation: Dunărea de Jos University of Galați, Romania
Constantin Brâncoveanu University of Pitesti, Romania
Ternopil Ivan Puluj National Technical University, Ukraine
Bibliographic description (Ukraine): MARIANA CARMELIA BĂLĂNICĂ DRAGOMIR, CRISTIAN MUNTENIȚĂ, AUREL GABRIEL SIMIONESCU, DANIELA ECATERINA ZECA, IRYNA KRAMAR, NATALIIA MARYNENKO. SEASONAL AND SPATIAL VARIATION OF PM10 IN AN URBAN AREA FROM ROMANIA. JOURNAL OF VASYL STEFANYK PRECARPATHIAN NATIONAL UNIVERSITY, VOL. 6, NO. 3-4 (2019), 7-14.
Bibliographic description (International): MARIANA CARMELIA BĂLĂNICĂ DRAGOMIR, CRISTIAN MUNTENIȚĂ, AUREL GABRIEL SIMIONESCU, DANIELA ECATERINA ZECA, IRYNA KRAMAR, NATALIIA MARYNENKO. SEASONAL AND SPATIAL VARIATION OF PM10 IN AN URBAN AREA FROM ROMANIA. JOURNAL OF VASYL STEFANYK PRECARPATHIAN NATIONAL UNIVERSITY, VOL. 6, NO. 3-4 (2019), 7-14.
Issue Date: Dec-2019
Publisher: Vasyl Stefanyk Precarpathian National University
Country (code): UA
Place of the edition/event: Journal of Vasyl Stefanyk Precarpathian National University
UDC: 339: 332
JEL: F64 E37
Keywords: PM10
air pollution
meteorological parameters
seasonal variation
dispersion model
Page range: 7-14
Abstract: The cyclic variance of PM10 mass concentration in the urban area in the South-East of Romania has been analysed in the article. SE of Romania is considered to be a territory which has medium level of pollution for a period of last ten years, from 2009 to 2018. The spatial dispersion of PM10 concentration was obtained using the METI-LIS soft wear for each season. The objective of dispersion models is to evaluate how pollutant concentration is spread out taking into account the diffusion. The average measurements of PM10 and meteorological parameters as inputs has been used. An evident seasonal change of PM10 concentrations is observed in the article. In order to establish national measures (including economic ones) for the improvement of the atmospheric pollution control it was analysed the mechanism of atmospheric pollution. It was observed that the air quality was overall better in spring and in summer in comparison to the other two periods. With regard to the seasonal variation characteristics of PM10 significant differences for the air quality registered in different months in the researched region were observed. The impact of air temperature on atmospheric pollution was insignificant in spring and autumn; moreover, precipitation was defined as an important influence factor upon the atmospheric pollution. The impact of precipitation on the possibility of atmospheric pollution was obviously different in the four seasons. The research results indicate the meteorological parameters that influence the air pollution become active during the cold seasonal days. It was shown that relative humidity and wind speed are the meteorological parameters that impact the PM10. It was found out that the probability of atmospheric pollution decreased with the increase of air temperature in summer. The research results also testify that the air pollution mapping could be enhanced using atmospheric dispersion models and in-situ measurements.
URI: http://elartu.tntu.edu.ua/handle/lib/30199
References (Ukraine): [1] Zeger S.L., Thomas D., Dominici F., Samet J.M., Schwartz J., Dockery D., Cohen A. Exposure measurement error in time-series studies of air pollution: concepts and consequences. Environ Health Perspect, 108 (5) (2000), 419—426. doi: 10.1289/ehp.00108419 [2] Harrison R.M., Jones A.M., Lawrence R.G. Major component composition of PM10 and PM2.5 from roadside and urban background sites. Atmos. Environ, 38 (27) (2004), 4531—4538. doi: 10.1016/j.atmosenv.2004.05.022 [3] Pozzi R., Berardis B.D., Paoletti L., Guastadisegni C. Winter urban air particles from Rome (Italy): effects on the monocytic-macrophagic RAW 264.7 Environ. Res., 99 (3) (2005), 344—354. doi: 10.1016/j.envres.2005.02.004 [4] Liu Y., Park R.J., Jacob D.J., Li Q., Kilaru V., Sarnat J.A. Mapping annual mean ground-level PM2.5 concentrations using Multi angle Imaging Spectro radiometer aerosol optical thickness over the contiguous United States. J. Geophys. Res., 109 (D22206), 2004, 1—10. doi: 10.1029/2004JD005025 [5] Muir D., Laxen D.P.H. Black smoke as a surrogate for PM10 in health studies. Atmos. Environ., 29 (8) (1995), 959–962. Available at: http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt= 6340196 [6] Cogliani E. Air pollution forecast in cities by an air pollution index highly correlated with meteorological variables. Atmos. Environ., 35 (16) (2001), 2871—2877. doi: 10.1016/S1352-2310(01)00071-1 [7] Lee S., Ho C.-H., Choi Y.-S. High-PM10 concentration episodes in Seoul, Korea: background sources and related meteorological conditions. Atmos. Environ., 45 (39) (2011), 7240—7247. doi: 10.1016/j.atmosenv.2011.08.071 [8] Mamtimin B., Meixner F.X. Air pollution and meteorological processes in the growing dryland city of Urumqi (Xinjiang, China). Sci. Total Environ, 409 (7) (2011), 1277—1290. doi: 10.1016/j.scitotenv.2010.12.010 [9] Unal Y.S., Toros H., Deniz A., Incecik S. Influence of meteorological factors and emission sources on spatial and temporal variations of PM10 concentrations in Istanbul metropolitan area. Atmos. Environ., 45 (31) (2011), 5504—5513. doi: 10.1016/j.atmosenv.2011.06.039 [10] Akyüz M., Çabuk H. Meteorological variations of PM2.5/PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak, Turkey. J. Hazard. Mater., 170 (1) (2009), 13—21. doi: 10.1016/j.jhazmat.2009.05.029 [11] Oanh K., Chutimon P., Ekbordin W., Supat W. Meteorological pattern classification and application for forecasting air pollution episode potential in a mountain-valley area. Atmos. Environ., 39 (7) (2005), 1211—1225. doi: 10.1016/j.atmosenv.2004.10.015 [12] Fuller G.W., Green D. Evidence for increasing concentrations of primary PM10 in London. Atmos. Environ., 40 (32) (2006), 6134–6145. doi: 10.1016/j.atmosenv.2006.05.031 [13] Murariu G., Hahiue V., Georgescu L., Arseni M., Iticescu C., Murariu A., Buhociu F., Nistor N. Study on the influence of atmospheric parameters on the accuracy of the geodetic measurements. AIP Conference Proceedings, 1796 (1) (2017) 040009, 1–4. doi: 10.1063/1.4972387 [14] Hooyberghs J., Mensink C., Dumont G., Fierens F., Brasseur O. A neural network forecast for daily average PM10 concentrations in Belgium. Atmos. Environ., 39 (18) (2005), 3279—3289. doi: 10.1016/j.atmosenv.2005.01.050 [15] Tian G., Qiao Z., Xu X. Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001-2012 in Beijing. Environ Pollut., 192 (2014), 266—274. doi: 10.1016/j.envpol.2014.04.036 [16] Zhang Q.H., Zhang J.P., Xue H.W. The challenge of improving visibility in Beijing. Atmos. Chem. Phys., 10 (2010), 7821—7827. doi: 10.5194/acp-10-7821-2010 [17] Hu M., Jia L., Wang J., Pan Y. Spatial and temporal characteristics of particulate matter in Beijing, China using the empirical mode decomposition method. Sci. Total Environ., 458-460 (2013), 70—80. doi: 10.1016/j.scitotenv.2013.04.005 [18] Turner D.B., Workbook of Atmospheric Dispersion Estimates: An Introduction to Dispersion Modelling (2nd Edition). CRC Press, 2004. [19] Kouchi H., Shimomura K., Hata S., Hirota A., Wu G.J. et al. Large-scale analysis of gene expression profiles during early stages of root nodule formation in a model legume. DNA Res., 11 (4) (2004), 263— 274. doi: 10.1093/dnares/11.4.263
References (International): [1] Zeger S.L., Thomas D., Dominici F., Samet J.M., Schwartz J., Dockery D., Cohen A. Exposure measurement error in time-series studies of air pollution: concepts and consequences. Environ Health Perspect, 108 (5) (2000), 419—426. doi: 10.1289/ehp.00108419 [2] Harrison R.M., Jones A.M., Lawrence R.G. Major component composition of PM10 and PM2.5 from roadside and urban background sites. Atmos. Environ, 38 (27) (2004), 4531—4538. doi: 10.1016/j.atmosenv.2004.05.022 [3] Pozzi R., Berardis B.D., Paoletti L., Guastadisegni C. Winter urban air particles from Rome (Italy): effects on the monocytic-macrophagic RAW 264.7 Environ. Res., 99 (3) (2005), 344—354. doi: 10.1016/j.envres.2005.02.004 [4] Liu Y., Park R.J., Jacob D.J., Li Q., Kilaru V., Sarnat J.A. Mapping annual mean ground-level PM2.5 concentrations using Multi angle Imaging Spectro radiometer aerosol optical thickness over the contiguous United States. J. Geophys. Res., 109 (D22206), 2004, 1—10. doi: 10.1029/2004JD005025 [5] Muir D., Laxen D.P.H. Black smoke as a surrogate for PM10 in health studies. Atmos. Environ., 29 (8) (1995), 959–962. Available at: http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt= 6340196 [6] Cogliani E. Air pollution forecast in cities by an air pollution index highly correlated with meteorological variables. Atmos. Environ., 35 (16) (2001), 2871—2877. doi: 10.1016/S1352-2310(01)00071-1 [7] Lee S., Ho C.-H., Choi Y.-S. High-PM10 concentration episodes in Seoul, Korea: background sources and related meteorological conditions. Atmos. Environ., 45 (39) (2011), 7240—7247. doi: 10.1016/j.atmosenv.2011.08.071 [8] Mamtimin B., Meixner F.X. Air pollution and meteorological processes in the growing dryland city of Urumqi (Xinjiang, China). Sci. Total Environ, 409 (7) (2011), 1277—1290. doi: 10.1016/j.scitotenv.2010.12.010 [9] Unal Y.S., Toros H., Deniz A., Incecik S. Influence of meteorological factors and emission sources on spatial and temporal variations of PM10 concentrations in Istanbul metropolitan area. Atmos. Environ., 45 (31) (2011), 5504—5513. doi: 10.1016/j.atmosenv.2011.06.039 [10] Akyüz M., Çabuk H. Meteorological variations of PM2.5/PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak, Turkey. J. Hazard. Mater., 170 (1) (2009), 13—21. doi: 10.1016/j.jhazmat.2009.05.029 [11] Oanh K., Chutimon P., Ekbordin W., Supat W. Meteorological pattern classification and application for forecasting air pollution episode potential in a mountain-valley area. Atmos. Environ., 39 (7) (2005), 1211—1225. doi: 10.1016/j.atmosenv.2004.10.015 [12] Fuller G.W., Green D. Evidence for increasing concentrations of primary PM10 in London. Atmos. Environ., 40 (32) (2006), 6134–6145. doi: 10.1016/j.atmosenv.2006.05.031 [13] Murariu G., Hahiue V., Georgescu L., Arseni M., Iticescu C., Murariu A., Buhociu F., Nistor N. Study on the influence of atmospheric parameters on the accuracy of the geodetic measurements. AIP Conference Proceedings, 1796 (1) (2017) 040009, 1–4. doi: 10.1063/1.4972387 [14] Hooyberghs J., Mensink C., Dumont G., Fierens F., Brasseur O. A neural network forecast for daily average PM10 concentrations in Belgium. Atmos. Environ., 39 (18) (2005), 3279—3289. doi: 10.1016/j.atmosenv.2005.01.050 [15] Tian G., Qiao Z., Xu X. Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001-2012 in Beijing. Environ Pollut., 192 (2014), 266—274. doi: 10.1016/j.envpol.2014.04.036 [16] Zhang Q.H., Zhang J.P., Xue H.W. The challenge of improving visibility in Beijing. Atmos. Chem. Phys., 10 (2010), 7821—7827. doi: 10.5194/acp-10-7821-2010 [17] Hu M., Jia L., Wang J., Pan Y. Spatial and temporal characteristics of particulate matter in Beijing, China using the empirical mode decomposition method. Sci. Total Environ., 458-460 (2013), 70—80. doi: 10.1016/j.scitotenv.2013.04.005 [18] Turner D.B., Workbook of Atmospheric Dispersion Estimates: An Introduction to Dispersion Modelling (2nd Edition). CRC Press, 2004. [19] Kouchi H., Shimomura K., Hata S., Hirota A., Wu G.J. et al. Large-scale analysis of gene expression profiles during early stages of root nodule formation in a model legume. DNA Res., 11 (4) (2004), 263— 274. doi: 10.1093/dnares/11.4.263
Content type: Article
Appears in Collections:Наукові публікації працівників кафедри економіки та фінансів

Files in This Item:
File Description SizeFormat 
JVSPNU.pdf954,16 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Admin Tools