跳至主要内容

Development of a Short-Term Ozone Prediction Tool in Campo Grande-MS-Brazil Area Based on Meteorological Variables

Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=47092#.VGGcHWfHRK0

The objective of this study was to develop a model to predict the concentration of ozone. The measurements of ozone were conducted at the Federal University of Mato Grosso do Sul. The predictor variables related to climate were supplied by Embrapa Gada de Corte. Analyses of the data show a strong correlation between ozone and wind speed (0.75), humidity (?0.64) and temperature (0.41), as the factors that affect levels of concentration ozone. The observed and predicted values of daily ozone had a correlation coefficient (R) of 0.69.
Cite this paper
Souza, A. , Aristones, F. , Pavão, H. and Fernandes, W. (2014) Development of a Short-Term Ozone Prediction Tool in Campo Grande-MS-Brazil Area Based on Meteorological Variables. Open Journal of Air Pollution, 3, 42-51. doi: 10.4236/ojap.2014.32005. 
 

[1] Gutjahr, M.R. (2002) A Poluicao do ar em Paulínia—SP: Uma análise histórico-geográfica do clima. Tese (Doutorado em Geografia Física). Pós-graduacao em Geografia Física, Universidade de Sao Paulo—Sao Paulo-SP, 239 p.
[2] Leite, N.O. (2005) Modelagem estatística da relacao entre poluicao atmosférica e mortalidade por doencas respiratórias. Dissertacao (Mestrado em Estatística e Experimentacao Agropecuária)—Universidade Federal de Lavras, Lavras, MG, 64 p.
[3] Martins, L.C. (2002) Poluicao atmosférica e atendimentos por pneumonia e gripe em Sao Paulo, Brasil, Revista Saúde Pública, 36, 88-94. http://dx.doi.org/10.1590/S0034-89102002000100014
[4] Peiter, P. and Tobar, C. (1998) Poluicao do ar e condicoes de vida: Uma análise geográfica de riscos à saúde em Volta Redonda, Rio de Janeiro, Brasil. Cadernos de Saúde Pública, 14, 473-485.
http://dx.doi.org/10.1590/S0102-311X1998000300003
[5] Schwartz, J. and Dockery, D.W. (1992) Particulate Air Pollution and Daily Mortality in Steubenville, Ohio. American Journal of Epidemiology, 135, 12-19.
[6] Schwartz, J. (1999) Air Pollution and Daily Mortality in Birmingham, Alabama. American Journal of Epidemiology, 137, 1136-1147.
[7] Gouveia, N. and Fletcher, T. (2000) Time Series Analysis of air Pollution and Mortality: Effects by Cause, Age and Socioeconomic Status. Epidemiology Community Health, 54, 750-755.
http://dx.doi.org/10.1136/jech.54.10.750
[8] Lima, L.P. (2001) Modelos aditivos generalizado: Aplicacao a um estudo epidemiológico ambiental. Dissertacao (Mestrado em Estatística)—Universidade de Sao Paulo, Sao Paulo, SP.
[9] Fokianos, K. and Kedem, B. (2004) Partial Likelihood Inference for Time Series Following Generalized Linear Models, Jounal of Time Series Analysis, 25, 173-197.
http://dx.doi.org/10.1046/j.0143-9782.2003.00344.x
[10] Morettin, P.A. and Toloi, C.M.C. (2004) Análise de séries temporais. Edagrd Blucher, Sao Paulo, 535 p.
[11] Lima, E.A.P., Guimaraes, E.C., Pozza, S.A., Barrozo, M.A.S. and Coury, J.R. (2009) A Study of Atmospheric Particulate Matter in a City of the Central Region of Brazil Using Time-Series Analysis. International Journal of Environmental Engineering, 1, 80-94. http://dx.doi.org/10.1504/IJEE.2009.026444
[12] Cooper, C.D. and Alley, F.C. (2002) Air Pollution Control: A Design Approach. Waveland Press, Long Grove, 738 p.
[13] Theodore, L. (2008) Air Pollution Control Equipment Calculations. John Wiley & Sons Inc., Hoboken, 574 p.
http://dx.doi.org/10.1002/9780470255773
[14] Schifftner, K.C. (2002) Air Pollution Control Equipment Selection Guide. Lewis Publishers, Boca Raton, 228 p.
http://dx.doi.org/10.1201/9781420031737
[15] Wark, K., Warner, C.F. and Davis, W.T. (1998) Air Pollution: Its Origin and Control. 3rd Edition, Addison Wesley Longman Inc., Menlo Park, 573 p.
[16] Cole, S. (1996) Lung Damage Linked to Combined Fine-Particle, Ozone Exposure in New Toxicology Study. Environmental Science and Technology, 30, 382A. http://dx.doi.org/10.1021/es962389p
[17] Heinsohn, R.J. and Kabel, R.L. (1999) Sources and Control of Air Pollution. Prentice Hall, New Jersey, 696.
[18] Krupa, S.V., Tonneijck, A.E.G. and Manning, W.J. (1998) Recognition of Air Pollution Injury to Vegetation: A Pictorial Atlas, Air and Waste Management Association, Pittsburgh, Pennsylvania, 2.1-2.28.
[19] Souza, A., Pavao, H.G., Lastoria, G., Gabas, S.G., Paranhos Filho, A.C. and Cavazzana, G.H. (2009) Distribuicao espacial da relacao precipitacao/número de dias de chuvas em Campo Grande-MS. Seminário de recursos hídricos da bacia hidrográfica do Paraíba do Sul, Taubaté.
[20] Nali, C., Ferretti, M., Pellegrini, M. and Lorenzini, G. (2001) Monitoring and Biomonitoring of Surface Ozone in Florence, Italy. Environmental Monitoring and Assessment, 69, 159-174.
http://dx.doi.org/10.1023/A:1010749722546
[21] Lu, H.C. (2003) Comparisons of Statistical Characteristic of Air Pollutants in Taiwan by Frequency Distribution. Journal of the Air and Waste Management Association, 53, 608-616.
http://dx.doi.org/10.1080/10473289.2003.10466194
[22] Lelieveld, J. and Crutzen, P.J. (1990) Influences of Cloud Photochemical Processes on Tropospheric Ozone. Nature, 343, 227-233. http://dx.doi.org/10.1038/343227a0
[23] Di Carlo, P., Pitari, G., Mancini, E., Gentile, S., Pichelli, E. and Visconti, G. (2007) Evolution of Surface Ozone in Central Italy Based on Observations and Statistical Model. Journal of Geophysical Research: Atmospheres, 112, Article Number: D10316. http://dx.doi.org/10.1029/2006JD007900
[24] Hubbard, M.C. and Cobourn, W.G. (1998) Development of a Regression Model to Forecast Ground-Level Ozone Concentration in Louisville, KY. Atmospheric Environment, 32, 2637-2647.
http://dx.doi.org/10.1016/S1352-2310(97)00444-5
[25] De Lima, M.C. (1966) Manutencao da circulacao atmosférica sobre a América do Sul. Tese de Doutorado em Meteorologia-INPE, 222 p.
[26] Fisch, G., Marengo, A.J. and Nobre, C.A. (1998) Clima na Amazonia. ACTA Amazonica, 28, 101-126.
[27] Fearnside, M.P. (2004) A água de Sao Paulo e a floresta amazonica. Ciência Hoje, Volume de abril de, 63-65.
[28] Aires, C.B. (2001) Avaliacao de contaminantes produzidos em locais de queimadas e transportados para regioes onde nao se queima. Tese de Doutorado em Geofísica Espacial-INPE, 117 p.
[29] Robeson, S.M. and Steyn, D.G. (1990) Evaluation and Comparison of Statistical Forecast Models for Daily Maximum Ozone Concentrations. Atmospheric Environment Part B-Urban Atmosphere, 24, 303-312.
http://dx.doi.org/10.1016/0957-1272(90)90036-T
[30] Ziomas, I.C., Melas, D., Zerefos, C.S., Bais, A.F. and Paliatsos, A. (1995) On the Relationship between Peak Ozone Levels and Meteorological Variables. Fresenius Environmental Bulletin, 4, 53-58.
[31] Kovac-Andric, E., Brana, J. and Gvozdic, V. (2009) Impact of Meteorological Factors on Ozone Concentrations Modelled by Time Series Analysis and Multivariate Statistical Methods. Ecological Informatics, 4, 117-122.
http://dx.doi.org/10.1016/j.ecoinf.2009.01.002
[32] Chaloulakou, A., Assimacopoulos, D. and Lekkas, T. (1999) Forecasting Daily Maximum Ozone Concentrations in the Athens Basin. Environmental Monitoring and Assessment, 56, 97-112.
http://dx.doi.org/10.1023/A:1005943201063
[33] Papanastasiou, D.K. and Melas, D. (2008) Daily Ozone Forecasting in an Urban Area, Using Meteorological and Pollution Data. Fresenius Environmental Bulletin, 17, 364-370.
[34] Sousa, S.I.V., Martins, F.G., Alvim-Ferraz, M.C.M. and Pereira, M.C. (2007) Multiple Linear Regression and Artificial Neural Networks Based on Principal Components to Predict Ozone Concentrations. Environmental Modelling and Software, 22, 97-103. http://dx.doi.org/10.1016/j.envsoft.2005.12.002
[35] Barrero, M.A., Grimalt, J.O. and Canton, L. (2006) Prediction of Daily Ozone Concentration Maxima in the Urban Atmosphere. Chemometrics and Intelligent Laboratory Systems, 80, 67-76.
http://dx.doi.org/10.1016/j.chemolab.2005.07.003
[36] Tecer, L.H., Erturk, F. and Cerit, O. (2003) Development of a Regression Model to Forecast Ozone Concentration in Istanbul City, Turkey. Fresenius Environmental Bulletin, 12, 1133-1143.                     eww141111lx
标签：

评论

发表评论

此博客中的热门博文

A Comparison of Methods Used to Determine the Oleic/Linoleic Acid Ratio in Cultivated Peanut (Arachis hypogaea L.)

Cultivated peanut ( Arachis hypogaea L.) is an important oil and food crop. It is also a cheap source of protein, a good source of essential vitamins and minerals, and a component of many food products. The fatty acid composition of peanuts has become increasingly important with the realization that oleic acid content significantly affects the development of rancidity. And oil content of peanuts significantly affects flavor and shelf-life. Early generation screening of breeding lines for high oleic acid content greatly increases the efficiency of developing new peanut varieties. The objective of this study was to compare the accuracy of methods used to classify individual peanut seed as high oleic or not high oleic. Three hundred and seventy-four (374) seeds, spanning twenty-three (23) genotypes varying in oil composition (i.e. high oleic (H) or normal/not high oleic (NH) inclusive of all four peanut market-types (runner, Spanish, Valencia and Virginia), were individually tested ...
发表评论
阅读全文

Location Optimization of a Coal Power Plant to Balance Costs against Plant’s Emission Exposure

Fuel and its delivery cost comprise the biggest expense in coal power plant operations. Delivery of electricity from generation to consumers requires investment in power lines and transmission grids. Placing a coal power plant or multiple power plants near dense population centers can lower transmission costs. If a coalmine is nearby, transportation costs can also be reduced. However, emissions from coal plants play a key role in worsening health crises in many countries. And coal upon combustion produces CO 2 , SO 2 , NO x , CO, Metallic and Particle Matter (PM10 & PM2.5). The presence of these chemical compounds in the atmosphere in close vicinity to humans, livestock, and agriculture carries detrimental health consequences. The goal of the research was to develop a methodology to minimize the public’s exposure to harmful emissions from coal power plants while maintaining minimal operational costs related to electric distribution losses and coal logistics. The objective was...
发表评论
阅读全文

Evaluation of the Safety and Efficacy of Continuous Use of a Home-Use High-Frequency Facial Treatment Appliance

At present, many home-use beauty devices are available in the market. In particular, many products developed for facial treatment use light, e.g., a flash lamp or a light-emitting diode (LED). In this study, the safety of 4 weeks’ continuous use of NEWA TM , a high-frequency facial treatment appliance, every alternate day at home was verified, and its efficacy was evaluated in Japanese individuals with healthy skin aged 30 years or older who complained of sagging of the facial skin.  Transepidermal water loss (TEWL), melanin levels, erythema levels, sebum secretion levels, skin color changes and wrinkle improvement in the facial skin were measured before the appliance began to be used (study baseline), at 2 and 4 weeks after it had begun to be used, and at 2 weeks after completion of the 4-week treatment period (6 weeks from the study baseline). In addition, data obtained by subjective evaluation by the subjects themselves on a visual analog scale (VAS) were also analyzed. Fur...
发表评论
阅读全文