Evaluation of artificial neural networks for fine particulate pollution (PM10 and PM2.5) forecasting

Journal of the Air and Waste Management Association

Volumn 52, Issue 9, 2002, Pages 1096-1101

  McKendry, Ian G ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; METEOROLOGY; NEURAL NETWORKS; OZONE; PARTICLES (PARTICULATE MATTER); REGRESSION ANALYSIS;

PARTICULATE MATTER (PM);

AIR POLLUTION;

AIR POLLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; METEOROLOGICAL PHENOMENA; MODEL; MULTIPLE REGRESSION; PARTICULATE MATTER; PRECIPITATION; PRIORITY JOURNAL; TEMPERATURE; WIND;

EID: 0036718972     PISSN: 10962247     EISSN: 21622906     Source Type: Journal    
DOI: 10.1080/10473289.2002.10470836     Document Type: Article

References (17)

1. Yi, J.; Prybutok, V.R. A Neural Network Model Forecasting Prediction of Daily Maximum Ozone Concentration in an Industrialized Urban Area; Environ. Pollut. 1996, 92, 349-357.
2. Comrie, A.C. Comparing Neural Networks and Regression Models for Ozone Forecasting; J. Air & Waste Manage. Assoc. 1997, 47, 653-663
3. Cannon, A.J.; Lord, E.R. Forecasting Summertime Surface-Level Ozone Concentrations in the Lower Fraser Valley of British Columbia: An Ensemble NN Approach; J. Air & Waste Manage. Assoc. 2000, 50, 322-339
4. 2 Concentrations in Urban Air in London; Atmos. Environ. 1999, 33, 709-719.
5. 25 Concentrations Several Hours in Advance Using Neural Networks in Santiago, Chile; Atmos. Environ. 2000, 34, 1189-1196.
6. Steyn, D.G.; McKendry, I.G. Quantitative and Qualitative Evaluation of a Three-Dimensional Mesoscale Numerical Model Simulation of a Sea Breeze in Complex Terrain; Mon. Weath. Rev. 1988, 116, 1914-1926
7. McKendry, I.G.; Steyn, D.G.; Banta, R.M.; Strapp, W.; Anlauf, K.; Pottier, J.L. Daytime Photochemical Pollutant Transport over a Tributary Valley Lake in Southwestern British Columbia; J. Appl. Meteorol. 1998, 37, 393-404.
8. McKendry, I.G. Synoptic Circulation and Summertime Ground-Level Ozone Concentrations in Vancouver, British Columbia; J. Appl. Meteorol. 1994, 33, 627-641.
9. 10 Levels in the Lower Fraser Valley, B.C., Canada: An Overview of Spatio-Temporal Variations and Meteorological Controls; J. Air & Waste Manage. Assoc. 2000, 50, 174-185.
10. Neural Networks: Application in Geography; Hewitson, B.C., Crane, R.C., Eds.; Kluwer: Dordrecht, The Netherlands, 1994.
11. Gardner, M.W.; Dorling, S.R. Artificial Neural Networks (The MultiLayer Perceptron)-A Review of Applications in the Atmospheric Sciences; Atmos. Environ. 1998, 32, 2627-2636.
12. Hsieh, W.W.; Tang, B. Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography; Bull. Amer. Meteorol. Soc. 1998, 79, 1855-1870.
13. Willmott, C.J. Some Comments on the Evaluation of Model Performance; Bull. Amer. Meteorol. Soc. 1982, 63, 1309-1313.
14. Willmott, C.J.; Ackleston, S.G.; Davis, R.E.; Feddema, J.J.; Klink, K.M.; Legates, D.R.; O'Donnell, J.; Rowe, C.M. Statistics for the Evaluation and Comparison of Models; J. Geophys. Res. 1985, 90 (C5), 8995-9005
15. Robeson, S.M.; Steyn, D.G. Evaluation and Comparison of Statistical Forecast Models for Daily Maximum Ozone Concentrations; Atmos. Environ. 1990, 24B, 303-312.
16. Jorquera, H.; Perez, R.; Cipriano, A.; Espejo, A.; Letelier, M.V.; Acuna, G. Forecasting Daily Maximum Ozone Levels at Santiago, Chile; Atmos. Environ. 1998, 32, 3415-3424.
17. Nunnari, G.; Nucifora, A.F.M.; Randieri, C. The Application of Neural Techniques to the Modeling of Time Series of Atmospheric Pollution Data; Ecolog. Model. 1998, 111, 187-205.