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- W2068072210 abstract "We describe the different air pollution statistical forecasting models that have been used in Santiago, Chile during the fall/winter period for the last ten years. Effort has been concentrated on particulate matter PM10 for which a standard of 150 μg/m for the 24 h average is currently established. Inputs to the models are concentrations measured at several monitoring stations distributed throughout the city and meteorological information in the region. Outputs are the expected maxima concentrations for the following day at the site of the same monitoring stations. Forecast values using neural network models are compared with the results obtained with linear models and persistence. Recently, a clustering algorithm has appeared as a potentially useful tool to detect high concentration episodes in advance." @default.
- W2068072210 created "2016-06-24" @default.
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- W2068072210 date "2008-08-29" @default.
- W2068072210 modified "2023-09-25" @default.
- W2068072210 title "Air quality forecasting in a large city" @default.
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- W2068072210 doi "https://doi.org/10.2495/air080031" @default.
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