Prediction of NO and NO2 concentrations near a street with heavy traffic in Santiago,Chile |
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| Institution: | 1. College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China;2. Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, PR China;3. College of Information Science and Technology, Hunan University, Changsha, Hunan 410082, PR China;4. School of Public Health, University of California, Berkeley, CA 94720, USA;5. Faculty of Engineering and Applied Science, University of Regina, Regina, Sask, Canada;6. College of Architecture, Hunan University, Changsha 410082, PR China;1. Department of Civil and Environmental Engineering, University of Strathclyde, James Weir Building, 75 Montrose Street, Glasgow, G1 1XJ, UK;2. School of Chemistry, Joseph Black Building, University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK;3. Ricardo Energy and Environment, 18 Blythswood Square, Glasgow, G2 4BG, UK |
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| Abstract: | Based on NO concentrations and meteorological variables recorded hourly at a point close to an avenue with heavy traffic in the city of Santiago, we are able to build a simple model that allows prediction of NO concentrations several hours in advance. Predicted NO concentrations in conjunction with forecasted meteorological data may be used to predict NO2 concentrations with reasonable accuracy. We compare predictions generated using persistence, linear regressions and multi layer neural networks. |
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