Hybrid Model for Urban Air Pollution Forecasting: A Stochastic Spatio-Temporal Approach

@article{Russo2013HybridMF,
  title={Hybrid Model for Urban Air Pollution Forecasting: A Stochastic Spatio-Temporal Approach},
  author={A. Russo and A. Soares},
  journal={Mathematical Geosciences},
  year={2013},
  volume={46},
  pages={75-93}
}
Air pollution is usually driven by a complex combination of factors in which meteorology, physical obstacles, and interactions between pollutants play significant roles. Considering the characteristics of urban atmospheric pollution and its consequent impacts on human health and quality of life, forecasting models have emerged as an effective tool to identify and forecast air pollution episodes. The overall objective of the present work is to produce forecasts of pollutant concentrations with… Expand
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