Abstract
The study of the time series from the township of Campo Grande in the State of Mato Grosso do Sul (from January 2004 to 31 December 2010) is presented. Various statistical methods were used for the data analysis. Using robust statistics, very pronounced skewness of the ozone volume part distribution during each month of the year was obtained. The variability in data is the largest during a month of September. The average annual values have asymmetrical distribution of the ozone volume fraction. Within the measured period, these averages are between 15 and 20 ppb. Particularly pronounced ozone distribution asymmetry throughout the year 2007 could be explained by observing meteorological parameters. Principal component analysis (PCA) presented here clearly shows that air temperature and wind speed are contributing factors in ozone formation, while relative humidity and atmospheric pressure cause the decrease in the ozone volume fraction in the air. Further, the hierarchical cluster analysis (CA) was performed for meteorological and ozone data using the Ward’s methods. The correlation between ozone and the effective temperature index (TEv) showed a development of the ozone with high temperature of air. From the Pearson’s correlation coefficients, it is clear that the relative humidity and the air temperature have a negative effect on respiratory system, causing respiratory illnesses.
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Anunciação, V. S., & Sant’Anna Neto, J. L. (2002). Urban Climate of the City of Campo Grande-MS (in Portuguese). In: J. L. Sant’Anna Neto (Ed.), Org., Os climas das cidades brasileiras (pp. 22–35). São Paulo: Editora da UNESP, Presidente Prudente.
Atkinson, R. W., Anderson, H. R., Sunyer, J., Ayres, J., Baccini, M., Vonk, J. M., Boumghar, A., Forastiere, F., Forsberg, B., Touloumi, G., Schwartz, J., & Katsouyanni, K. (2001). Acute effects of particulate air pollution on respiratory admissions: results from APHEA 2 project. American Journal of Respiratory and Critical Care Medicine, 164, 1860–1866.
Bakonyi, S. M. C., Danni-Oliveira, I. M., Martins, L. C., & Braga, A. L. F. (2004). Air pollution and respiratory diseases among children in Brazil. Revista de Saúde Pública, 38, 1–5.
Banja M, Papanastasiou DK, Poupkou A, Melas D (2012) Development of a short-term ozone prediction tool in Tirana area based on meteorological variables. Atmos Pollut Res 3:32–38
Bard, A. J., Stratmann, M., Schloz, F., Pickett, C. J. (2006). Encyclopedia of Electrochemistry, volume 7A, Inorganic Chemistry (pp. 64). Weinheim: John Wiley and Sons.
Braga, A. L. F., Conceição, G. M. C., Pereira, L. A. A., Kishi, H. S., Pereira, J. C. R., Andrade, M. F., Gonçalves, F. L. T., Saldiva, P. H. N., & Latorre, M. R. D. O. (1999). Air pollution and pediatric respiratory hospital admissions in São Paulo, Brazil. Journal of Environmental Medicine, 1, 95–102.
Calinski, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3, 1–27.
Cvitaš, T., Klasinc, L., Kezele, N., McGlynn, S. P., & Pryor, W. A. (2005). New directions: how dangerous is ozone? Atmospheric Environment, 39, 4607–4608.
Dallacort, R., Moreira, P. S. P., Inoue, M. H., Silva, D. J., Carvalho, I. F., & Santos, C. (2010). Wind speed and direction characterization in Tangará da Serra, Mato Grosso state, Brazil. Revista Brasileira de Meteorologia, 25, 359–364.
Daszykowski, M., Kaczmarek, K., Vander Heyden, Y., & Walczak, B. (2007). Robust statistics in data analysis—a review basic concepts. Chemometrics and Intelligent Laboratory Systems, 85, 203–219.
Džepina, K., Mazzoleni, C., Fialho, P., China, S., Zhang, B., Owen, R. C., Helmig, D., Hueber, J., Kumar, S., Perlinger, J. A., Kramer, L. J., Dziobak, M. P., Ampadu, M. T., Olsen, S., Wuebbles, D. J., & Mazzoleni, L. R. (2015). Molecular characterization of free tropospheric aerosol collected at the Pico Mountain Observatory: a case study with a long-range transported biomass burning plume. Atmospheric Chemistry and Physics, 15, 5047–5068.
Fanger, P. O. (1972). Thermal confort. New York: McGraw-Hill Book Company.
Fátima, A. M., Fornaro, A., de Dias, F. E., Mazzoli, C. R., Martins, L. D., Boian, C., Oliveira, M. G. L., Peres, J., Carbone, S., Alvalá, P., & Leme, N. P. (2012). Ozone sounding in the Metropolitan Area of São Paulo, Brazil: wet and dry season campaigns of 2006. Atmospheric Environment, 61, 627–640.
Fine, R., Miller, M. B., Burley, J., Jaffe, S. A., Pierce, R. B., Lin, M., & Gustin, M. S. (2015). Variability and sources of surface ozone at rural sites in Nevada, USA: results from two years of the Nevada Rural Ozone Initiative. Science of the Total Environment, 530–531, 471–482.
Fischer, E. V., Jacob, D. J., Yantosca, R. M., Sulprizio, M. P., Millet, D. B., Mao, J., Paulot, F., Singh, H. B., Roiger, A., Ries, L., Talbot, R. W., Džepina, K., & Pandey Deolal, S. (2014). Atmospheric peroxyacetyl nitrate (PAN): a global budget and source attribution. Atmospheric Chemistry and Physics, 14, 2679–2698.
Fishman, J. (1991). The global consequences of increasing tropospheric ozone concentrations. Chemosphere, 22, 685–695.
Giles, J. (2005). Hikes in surface ozone could suffocate crops. Nature, 435, 7.
Gouveia, N., & Fletcher, T. (2000). Respiratory diseases in children and outdoor air pollution in São Paulo, Brazil: a time series analysis. Occupational and Environmental Medicine, 57, 477–483.
Kovač-Andrić, E., Brana, J., & Gvozdić, V. (2009). Impact of meteorological factors on ozone concentrations modelled by time series analysis and multivariate statistical methods. Ecological Informatics, 4(2), 117–122.
Kovač-Andrić, E., Šorgo, G., Kezele, N., Cvitaš, T., & Klasinc, L. (2010). Photochemical pollution indicators-an analysis of 12 European monitoring stations. Environmental Monitoring and Assessment, 165, 577–583.
Kovač-Andrić, E., Gvozdić, V., Herjavić, G., & Muharemović, H. (2013). Assessment of ozone variations and meteorological influences in a tourist and health resort area on the island of Mali Lošinj (Croatia). Environmental Science and Pollution Research, 20, 5106–5113.
Lao, L.-W. (2012). Effect of photochemical smog associated with synoptic weather patterns on cardiovascular and respiratory hospital admissions in metropolitan Taipei. International Journal of Environmental Health Research, 22(4), 287–304.
Lazutin, L., Bezerra, P. C., Fagnani, M. A., Pinto, H. S., Martin, I. M., da Silva, E. L. P., da Silva Mello, M. G., Turtelli, A., Zhavkov, V., & Zullo, J. (1996). Surface ozone study in Campinas, Sao Paulo, Brazil. Atmospheric Environment, 30, 2729–2738.
Lippmann, M. (1991). Health effects of tropospheric ozone. Environmental Science & Technology, 25, 1954–1962.
Matasović, B., Klasinc, L., & McGlynn, S. P. (2013). Analysis of ozone data by photochemical pollution indicators in Colorado. Croatica Chemica Acta, 86, 325–329.
Matasović, B., Herjavić, G., Klasinc, L., & Cvitaš, T. (2014). Analysis of ozone data from the Puntijarka station for the period between 1989 and 2009. Journal of Atmospheric Chemistry, 71, 269–282.
Nagase, H., Kinnisson, D. E., Petersen, A. K., Vitt, F., & Brasseur, G. P. (2015). Effects of injected ice particles in the lower stratosphere on the Antarctic ozone hole. Earth’s Future, 3, 143–158.
Nolle, M., Ellul, R., Heinrich, G., & Güsten, H. (2002). A long-term study of background ozone concentrations in the central Mediterranean—diurnal and seasonal variations on the island of Gozo. Atmospheric Environment, 36, 1391–1402.
Paoletti, E., de Marco, A., & Racalbuto, S. (2007). Why should we calculate complex indices of ozone exposure? Results from Mediterranean background sites. Environmental Monitoring and Assessment, 128, 19–30.
Pires, J. C., Souza, A., Pavão, H. G., & Martins, F. G. (2014). Variation of surface ozone in Campo Grande, Brazil: meteorological effect analysis and prediction. Environmental Science and Pollution Research, 21(17), 10550–10559.
Sánchez-Ccoyllo, O. R., Ynoue, R. Y., Martins, L. D., & Andrade, M. F. (2006). Impacts of ozone precursor limitation and meteorological variables on ozone concentration in São Paulo, Brazil. Atmospheric Environment, 40, S552–S562.
Sant’Anna Neto, J. L., & da Anunciação, V. S. (2001). Uma reflexão do espaço urbano da cidade de Campo Grande/MS na perspectiva climática. Revista Pantaneira, Aquidauana, 3, 55–66.
Schwartz, J., & Dockery, D. W. (1992). Increased mortality in Philadelphia associated with daily air pollution concentrations. American Review of Respiratory Disease, 145, 600–604.
Souza, A., & Fernandes, W. A. (2014). Surface ozone measurements and meteorological influences in the urban atmosphere of Campo Grande, Mato Grosso do Sul State. Acta Scientiarum Technology Maringá, 36(1), 141–146.
Souza, A., Guo, Y., Pavão, H. G., & Fernandes, W. A. (2014). Effects of air pollution on disease respiratory: structures lag. Health, 6, 1333–1339.
Souza, A., Aristones, F., & Goncalves, F. V. (2015). Modeling of surface and weather effects ozone concentration using neural networks in West Center of Brazil. Journal of Climatology & Weather Forecasting, 3, 123.
Supping, Z., Guanglin, M., Yanwel, W., & Ji, L. (1992). Study of the relationship between weather conditions and marathon race, and of meteorotropic effects on distance runners. International Journal of Biometeorology, 36, 63–68.
Vingarzan, R. (2004). A review of surface ozone background levels and trends. Atmospheric Environment, 38, 3431–3442.
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The authors gratefully acknowledge the Secretary for Municipal Health and EMPRAPA research station in Campo Grande, Brazil.
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Highlights
Results of robust statistics indicated skewness of the ozone volume distribution.
PCA, CA, and TEv were performed for meteorological parameters and ozone data.
Association with respiratory problems has been considered in this study.
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de Souza, A., Kovač-Andrić, E., Matasović, B. et al. Assessment of Ozone Variations and Meteorological Influences in West Center of Brazil, from 2004 to 2010. Water Air Soil Pollut 227, 313 (2016). https://doi.org/10.1007/s11270-016-3002-0
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DOI: https://doi.org/10.1007/s11270-016-3002-0