메뉴 건너뛰기




Volumn 2012, Issue , 2012, Pages

Application of multiple linear regression models and artificial neural networks on the surface ozone forecast in the greater Athens Area, Greece

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84874911486     PISSN: 16879309     EISSN: 16879317     Source Type: Journal    
DOI: 10.1155/2012/894714     Document Type: Article
Times cited : (47)

References (42)
  • 1
    • 0036837418 scopus 로고    scopus 로고
    • Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization
    • 2-s2.0-0036837418 10.1023/A:1020274409612
    • Lu W. Z., Fan H. Y., Leung A. Y. T., Wong J. C. K., Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization. Environmental Monitoring and Assessment 2002 79 3 217 230 2-s2.0-0036837418 10.1023/A:1020274409612
    • (2002) Environmental Monitoring and Assessment , vol.79 , Issue.3 , pp. 217-230
    • Lu, W.Z.1    Fan, H.Y.2    Leung, A.Y.T.3    Wong, J.C.K.4
  • 2
    • 0026359463 scopus 로고
    • Health effects of tropospheric ozone
    • 2-s2.0-0026359463
    • Lippmann M., Health effects of tropospheric ozone. Environmental Science and Technology 1991 25 12 1954 1962 2-s2.0-0026359463
    • (1991) Environmental Science and Technology , vol.25 , Issue.12 , pp. 1954-1962
    • Lippmann, M.1
  • 3
    • 0030772767 scopus 로고    scopus 로고
    • Ozone personal exposures and health effects for selected groups residing in the Fraser Valley
    • DOI 10.1016/S1352-2310(96)00129-X, PII S135223109600129X
    • Brauer M., Brook J. R., Ozone personal exposures and health effects for selected groups residing in the Fraser Valley. Atmospheric Environment 1997 31 14 2113 2121 2-s2.0-0030772767 10.1016/S1352-2310(96)00129-X (Pubitemid 27257626)
    • (1997) Atmospheric Environment , vol.31 , Issue.14 , pp. 2113-2121
    • Brauer, M.1    Brook, J.R.2
  • 4
    • 0642375283 scopus 로고    scopus 로고
    • A study of ozone variation trend within area of affecting human health in Hong Kong
    • DOI 10.1016/S0045-6535(03)00476-4
    • Wang X., Lu W., Wang W., Leung A. Y. T., A study of ozone variation trend within area of affecting human health in Hong Kong. Chemosphere 2003 52 9 1405 1410 2-s2.0-0642375283 10.1016/S0045-6535(03)00476-4 (Pubitemid 41123343)
    • (2003) Chemosphere , vol.52 , Issue.9 , pp. 1405-1410
    • Wang, X.1    Lu, W.2    Wang, W.3    Leung, A.Y.T.4
  • 5
    • 0036882622 scopus 로고    scopus 로고
    • A preliminary study of ozone trend and its impact on environment in Hong Kong
    • DOI 10.1016/S0160-4120(02)00078-8, PII S0160412002000788
    • Lu W., Wang X., Wang W., Leung A. Y. T., Yuen K., A preliminary study of ozone trend and its impact on environment in Hong Kong. Environment International 2002 28 6 503 512 2-s2.0-0036882622 10.1016/S0160-4120(02)00078-8 (Pubitemid 35386105)
    • (2002) Environment International , vol.28 , Issue.6 , pp. 503-512
    • Lu, W.1    Wang, X.2    Wang, W.3    Leung, A.Y.T.4    Yuen, K.5
  • 6
    • 0036542248 scopus 로고    scopus 로고
    • Ozone episodes in urban Hong Kong 1994-1999
    • DOI 10.1016/S1352-2310(02)00150-4, PII S1352231002001504
    • Lee Y. C., Calori G., Hills P., Carmichael G. R., Ozone episodes in urban Hong Kong 1994-1999. Atmospheric Environment 2002 36 12 1957 1968 2-s2.0-0036542248 10.1016/S1352-2310(02)00150-4 (Pubitemid 34626179)
    • (2002) Atmospheric Environment , vol.36 , Issue.12 , pp. 1957-1968
    • Lee, Y.C.1    Calori, G.2    Hills, P.3    Carmichael, G.R.4
  • 7
    • 0030038540 scopus 로고    scopus 로고
    • Air pollution and hospital admissions for respiratory disease
    • Sckwartz J., Air pollution and hospital admissions for respiratory disease. Epidemiology 1996 7 1 20 28 2-s2.0-0030038540 (Pubitemid 26003841)
    • (1996) Epidemiology , vol.7 , Issue.1 , pp. 20-28
    • Sckwartz, J.1
  • 9
    • 77955691564 scopus 로고    scopus 로고
    • Outdoor particulate matter and childhood asthma admissions in Athens, Greece: A time-series study
    • 2-s2.0-77955691564 10.1186/1476-069X-9-45
    • Nastos P. T., Paliatsos A. G., Anthracopoulos M. B., Roma E. S., Priftis K. N., Outdoor particulate matter and childhood asthma admissions in Athens, Greece: a time-series study. Environmental Health: A Global Access Science Source 2010 9 1, article no. 45 2-s2.0-77955691564 10.1186/1476-069X-9-45
    • (2010) Environmental Health: A Global Access Science Source , vol.9 , Issue.1 ARTICLE NO. 45
    • Nastos, P.T.1    Paliatsos, A.G.2    Anthracopoulos, M.B.3    Roma, E.S.4    Priftis, K.N.5
  • 11
    • 79952901200 scopus 로고    scopus 로고
    • Acute effects of air pollution on pediatric asthma exacerbation: Evidence of association and effect modification
    • 2-s2.0-79952901200 10.1016/j.envres.2011.01.014
    • Samoli E., Nastos P. T., Paliatsos A. G., Katsouyanni K., Priftis K. N., Acute effects of air pollution on pediatric asthma exacerbation: evidence of association and effect modification. Environmental Research 2011 111 3 418 424 2-s2.0-79952901200 10.1016/j.envres.2011.01.014
    • (2011) Environmental Research , vol.111 , Issue.3 , pp. 418-424
    • Samoli, E.1    Nastos, P.T.2    Paliatsos, A.G.3    Katsouyanni, K.4    Priftis, K.N.5
  • 12
    • 0025247377 scopus 로고
    • Evaluation and comparison of statistical forecast models for daily maximum ozone concentrations
    • DOI 10.1016/0957-1272(90)90036-T
    • Robeson S. M., Steyn D. G., Evaluation and comparison of statistical forecast models for daily maximum ozone concentrations. Atmospheric Environment. Part B 1990 24 2 303 312 2-s2.0-0025247377 10.1016/0957-1272(90)90036-T (Pubitemid 20206825)
    • (1990) Atmospheric Environment - Part B Urban Atmosphere , vol.24 , Issue.2 , pp. 303-312
    • Robeson, S.M.1    Steyn, D.G.2
  • 14
    • 0028501572 scopus 로고
    • Regression and stochastic models for air pollution-I. Review, comments and suggestions
    • 2-s2.0-0028501572 10.1016/1352-2310(94)90083-3
    • Milionis A. E., Davies T. D., Regression and stochastic models for air pollution-I. Review, comments and suggestions. Atmospheric Environment 1994 28 17 2801 2810 2-s2.0-0028501572 10.1016/1352-2310(94)90083-3
    • (1994) Atmospheric Environment , vol.28 , Issue.17 , pp. 2801-2810
    • Milionis, A.E.1    Davies, T.D.2
  • 15
    • 67649613205 scopus 로고    scopus 로고
    • Kolmogorov-Smirnov test for spatially correlated data
    • 2-s2.0-67649613205 10.1007/s00477-008-0255-1
    • Olea R. A., Pawlowsky-Glahn V., Kolmogorov-Smirnov test for spatially correlated data. Stochastic Environmental Research and Risk Assessment 2009 23 6 749 757 2-s2.0-67649613205 10.1007/s00477-008-0255-1
    • (2009) Stochastic Environmental Research and Risk Assessment , vol.23 , Issue.6 , pp. 749-757
    • Olea, R.A.1    Pawlowsky-Glahn, V.2
  • 16
    • 0029104739 scopus 로고
    • On the relationship between peak ozone levels and meteorological variables
    • 2-s2.0-0029104739
    • Ziomas I. C., Melas D., Zerefos C. S., Bais A. F., On the relationship between peak ozone levels and meteorological variables. Fresenius Environmental Bulletin 1995 4 1 53 58 2-s2.0-0029104739
    • (1995) Fresenius Environmental Bulletin , vol.4 , Issue.1 , pp. 53-58
    • Ziomas, I.C.1    Melas, D.2    Zerefos, C.S.3    Bais, A.F.4
  • 17
    • 0030476772 scopus 로고    scopus 로고
    • A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area
    • DOI 10.1016/0269-7491(95)00078-X
    • Yi J., Prybutok V. R., A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area. Environmental Pollution 1996 92 3 349 357 2-s2.0-0030476772 10.1016/0269- 7491(95)00078-X (Pubitemid 26195592)
    • (1996) Environmental Pollution , vol.92 , Issue.3 , pp. 349-357
    • Yi, J.1    Prybutok, V.R.2
  • 18
    • 0033120626 scopus 로고    scopus 로고
    • An application of artificial neural networks to the prediction of surface ozone concentrations in the United Kingdom
    • DOI 10.1016/S0143-6228(98)00039-3, PII S0143622898000393
    • Spellman G., An application of artificial neural networks to the prediction of surface ozone concentrations in the United Kingdom. Applied Geography 1999 19 2 123 136 2-s2.0-0033120626 10.1016/S0143-6228(98)00039-3 (Pubitemid 29317186)
    • (1999) Applied Geography , vol.19 , Issue.2 , pp. 123-136
    • Spellman, G.1
  • 19
    • 33748040101 scopus 로고    scopus 로고
    • Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration
    • DOI 10.1016/j.atmosenv.2006.04.067, PII S1352231006005243
    • Gómez-Sanchis J., Martín-Guerrero J. D., Soria-Olivas E., Vila-Francés J., Carrasco J. L., del Valle-Tascón S., Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration. Atmospheric Environment 2006 40 32 6173 6180 2-s2.0-33748040101 10.1016/j.atmosenv.2006.04.067 (Pubitemid 44302333)
    • (2006) Atmospheric Environment , vol.40 , Issue.32 , pp. 6173-6180
    • Gomez-Sanchis, J.1    Martin-Guerrero, J.D.2    Soria-Olivas, E.3    Vila-Frances, J.4    Carrasco, J.L.5    Del Valle-Tascon, S.6
  • 20
    • 17644370689 scopus 로고    scopus 로고
    • Air quality prediction in Milan: Feed-forward neural networks, pruned neural networks and lazy learning
    • DOI 10.1016/j.ecolmodel.2005.01.008
    • Corani G., Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning. Ecological Modelling 2005 185 2-4 513 529 2-s2.0-17644370689 10.1016/j.ecolmodel.2005.01.008 (Pubitemid 40564517)
    • (2005) Ecological Modelling , vol.185 , Issue.2-4 , pp. 513-529
    • Corani, G.1
  • 21
    • 2442530447 scopus 로고    scopus 로고
    • A new method of ozone forecasting using fuzzy expert and neural network systems
    • DOI 10.1016/j.scitotenv.2003.11.009, PII S0048969703006624
    • Heo J. S., Kim D. S., A new method of ozone forecasting using fuzzy expert and neural network systems. Science of the Total Environment 2004 325 1-3 221 237 2-s2.0-2442530447 10.1016/j.scitotenv.2003.11.009 (Pubitemid 38622289)
    • (2004) Science of the Total Environment , vol.325 , Issue.1-3 , pp. 221-237
    • Heo, J.-S.1    Kim, D.-S.2
  • 22
    • 0002922219 scopus 로고    scopus 로고
    • Measurement and prediction of ozone levels around a heavily industrialized area: A neural network approach
    • DOI 10.1016/S1093-0191(00)00042-3, PII S1093019100000423
    • Elkamel A., Abdul-Wahab S., Bouhamra W., Alper E., Measurement and prediction of ozone levels around a heavily industrialized area: a neural network approach. Advances in Environmental Research 2001 5 1 47 59 2-s2.0-0002922219 10.1016/S1093-0191(00)00042-3 (Pubitemid 33585813)
    • (2001) Advances in Environmental Research , vol.5 , Issue.1 , pp. 47-59
    • Elkamel, A.1    Abdul-Wahab, S.2    Bouhamra, W.3    Alper, E.4
  • 23
    • 77952241972 scopus 로고    scopus 로고
    • 3 using artificial neural networks in athens, Greece
    • 2-s2.0-77952241972 10.1007/s11270-009-0179-5
    • 3 using artificial neural networks in athens, Greece. Water, Air, and Soil Pollution 2010 209 1-4 29 43 2-s2.0-77952241972 10.1007/s11270-009-0179-5
    • (2010) Water, Air, and Soil Pollution , vol.209 , Issue.1-4 , pp. 29-43
    • Moustris, K.P.1    Ziomas, I.C.2    Paliatsos, A.G.3
  • 24
    • 79952246361 scopus 로고    scopus 로고
    • Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification
    • 2-s2.0-79952246361 10.1016/j.atmosenv.2011.01.022
    • Feng Y., Zhang W., Sun D., Zhang L., Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification. Atmospheric Environment 2011 45 11 1979 1985 2-s2.0-79952246361 10.1016/j.atmosenv.2011.01.022
    • (2011) Atmospheric Environment , vol.45 , Issue.11 , pp. 1979-1985
    • Feng, Y.1    Zhang, W.2    Sun, D.3    Zhang, L.4
  • 25
    • 85032258210 scopus 로고    scopus 로고
    • Regression analysis and urban air quality forecasting: An application for the city of Athens
    • Slini Th., Karatzas K., Papadopoulos A., Regression analysis and urban air quality forecasting: an application for the city of Athens. Global Nest 2002 4 153 162
    • (2002) Global Nest , vol.4 , pp. 153-162
    • Slini, Th.1    Karatzas, K.2    Papadopoulos, A.3
  • 26
    • 0037001437 scopus 로고    scopus 로고
    • Fifteen year air quality trends associated with the vehicle traffic in Athens, Greece
    • Paliatsos A. G., Kaldellis J. K., Koronakis P. S., Garofalakis J. E., Fifteen year air quality trends associated with the vehicle traffic in Athens, Greece. Fresenius Environmental Bulletin 2002 11 12 B 1119 1126 2-s2.0-0037001437 (Pubitemid 36251419)
    • (2002) Fresenius Environmental Bulletin , vol.11 , Issue.B12 , pp. 1119-1126
    • Paliatsos, A.G.1    Kaldellis, J.K.2    Koronakis, P.S.3    Garofalakis, J.E.4
  • 27
    • 0033990385 scopus 로고    scopus 로고
    • Meteorologically adjusted trends in UK daily maximum surface ozone concentrations
    • 2-s2.0-0033990385 10.1016/S1352-2310(99)00315-5
    • Gardner M. W., Dorling S. R., Meteorologically adjusted trends in UK daily maximum surface ozone concentrations. Atmospheric Environment 2000 34 2 171 176 2-s2.0-0033990385 10.1016/S1352-2310(99)00315-5
    • (2000) Atmospheric Environment , vol.34 , Issue.2 , pp. 171-176
    • Gardner, M.W.1    Dorling, S.R.2
  • 28
    • 0003529295 scopus 로고    scopus 로고
    • NC, USA Research Triangle Park, Office of Air Quality Planning and Standards, US Environmental Protection Agency EPA-454/R-99-009
    • EPA, A Guideline for Developing an Ozone Forecasting Programme 1999 NC, USA Research Triangle Park, Office of Air Quality Planning and Standards, US Environmental Protection Agency EPA-454/R-99-009
    • (1999) A Guideline for Developing An Ozone Forecasting Programme
    • Epa1
  • 29
    • 0031172117 scopus 로고    scopus 로고
    • Comparing neural networks and regression models for ozone forecasting
    • Comrie A. C., Comparing neural networks and regression models for ozone forecasting. Journal of the Air and Waste Management Association 1997 47 6 653 663 2-s2.0-0031172117 (Pubitemid 27251544)
    • (1997) Journal of the Air and Waste Management Association , vol.47 , Issue.6 , pp. 653-663
    • Comrie, A.C.1
  • 30
    • 77955818644 scopus 로고    scopus 로고
    • Effect of craniofacial measures on the cephalic index of Japanese adult female students
    • 2-s2.0-77955818644 10.1537/ase.091022
    • Hossain M. G., Sabiruzzaman M., Islam S., Ohtsuki F., Lestrel P. E., Effect of craniofacial measures on the cephalic index of Japanese adult female students. Anthropological Science 2010 118 2 117 121 2-s2.0-77955818644 10.1537/ase.091022
    • (2010) Anthropological Science , vol.118 , Issue.2 , pp. 117-121
    • Hossain, M.G.1    Sabiruzzaman, M.2    Islam, S.3    Ohtsuki, F.4    Lestrel, P.E.5
  • 32
    • 0000282969 scopus 로고
    • The effects of early and late brain injury upon test scores and the nature of normal adult intelligence
    • Hebb D. O., The effects of early and late brain injury upon test scores and the nature of normal adult intelligence. Proceedings of the American Philosophical Society 1942 85 275 292
    • (1942) Proceedings of the American Philosophical Society , vol.85 , pp. 275-292
    • Hebb, D.O.1
  • 34
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • 2-s2.0-51249194645 10.1007/BF02478259
    • McCulloch W. S., Pitts W., A logical calculus of the ideas immanent in nervous activity. The Bulletin of Mathematical Biophysics 1943 5 4 115 133 2-s2.0-51249194645 10.1007/BF02478259
    • (1943) The Bulletin of Mathematical Biophysics , vol.5 , Issue.4 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 35
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • 2-s2.0-11144273669 10.1037/h0042519
    • Rosenblatt F., The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review 1958 65 6 386 408 2-s2.0-11144273669 10.1037/h0042519
    • (1958) Psychological Review , vol.65 , Issue.6 , pp. 386-408
    • Rosenblatt, F.1
  • 36
    • 0020386641 scopus 로고
    • Some comments on the evaluation of model performance
    • 2-s2.0-0020386641
    • Willmott C. J., Some comments on the evaluation of model performance. Bulletin American Meteorological Society 1982 63 11 1309 1313 2-s2.0-0020386641
    • (1982) Bulletin American Meteorological Society , vol.63 , Issue.11 , pp. 1309-1313
    • Willmott, C.J.1
  • 38
    • 0040842491 scopus 로고    scopus 로고
    • Air pollution exposure monitoring and estimation Part II. Model evaluation and population exposure
    • Walker S. E., Slørdal L. H., Guerreiro C., Gram F., Grønskei K. E., Air pollution exposure monitoring and estimation Part II. Model evaluation and population exposure. Journal of Environmental Monitoring 1999 1 4 321 326 2-s2.0-0040842491 (Pubitemid 129496239)
    • (1999) Journal of Environmental Monitoring , vol.1 , Issue.4 , pp. 321-326
    • Walker, S.-E.1    Slordal, L.H.2    Guerreiro, C.3    Gram, F.4    Gronskei, K.E.5
  • 39
    • 0034739912 scopus 로고    scopus 로고
    • Neural networks and periodic components used in air quality forecasting
    • DOI 10.1016/S1352-2310(00)00385-X
    • Kolehmainen M., Martikainen H., Ruuskanen J., Neural networks and periodic components used in air quality forecasting. Atmospheric Environment 2001 35 5 815 825 2-s2.0-0034739912 10.1016/S1352-2310(00)00385-X (Pubitemid 32170379)
    • (2001) Atmospheric Environment , vol.35 , Issue.5 , pp. 815-825
    • Kolehmainen, M.1    Martikainen, H.2    Ruuskanen, J.3
  • 40
    • 34147176086 scopus 로고    scopus 로고
    • A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions
    • DOI 10.1016/j.envsoft.2006.08.002, PII S1364815206001976
    • Dutot A. L., Rynkiewicz J., Steiner F. E., Rude J., A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions. Environmental Modelling and Software 2007 22 9 1261 1269 2-s2.0-34147176086 10.1016/j.envsoft.2006.08.002 (Pubitemid 46561406)
    • (2007) Environmental Modelling and Software , vol.22 , Issue.9 , pp. 1261-1269
    • Dutot, A.-L.1    Rynkiewicz, J.2    Steiner, F.E.3    Rude, J.4
  • 41
    • 78049527758 scopus 로고    scopus 로고
    • Short-term Maharashtra state electrical power load prediction with special emphasis on seasonal changes using a novel focused time lagged recurrent neural network based on time delay neural network model
    • 2-s2.0-78049527758 10.1016/j.eswa.2010.07.070
    • Kelo S. M., Dudul S. V., Short-term Maharashtra state electrical power load prediction with special emphasis on seasonal changes using a novel focused time lagged recurrent neural network based on time delay neural network model. Expert Systems with Applications 2011 38 3 1554 1564 2-s2.0-78049527758 10.1016/j.eswa.2010.07.070
    • (2011) Expert Systems with Applications , vol.38 , Issue.3 , pp. 1554-1564
    • Kelo, S.M.1    Dudul, S.V.2
  • 42
    • 38049089945 scopus 로고    scopus 로고
    • Time course gene expression classification with time lagged recurrent neural network
    • 2-s2.0-38049089945 10.1007/978-3-540-76803-6-5
    • Liang Y., Kelemen A., Time course gene expression classification with time lagged recurrent neural network. Computational Intelligence in Bioinformatics 2008 94 149 163 2-s2.0-38049089945 10.1007/978-3-540-76803-6-5
    • (2008) Computational Intelligence in Bioinformatics , vol.94 , pp. 149-163
    • Liang, Y.1    Kelemen, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.