资源环境科技发展态势分析平台

A correct simulation of the dispersion during wintertime thermal inversion is important not only to improve the physical understanding of the phenomena but also to design and evaluate strategies to improve air quality. In this study WRF with the multilayer urban canopy scheme BEP-BEM is used to simulate the dispersion during one of those episodes over Madrid, Spain, using a passive tracer representing NO_x. The results are compared against NO_x measurements obtained at 24 ground stations, grouped in 5 zones. The results show a strong spatial variability of dispersive conditions, with a tendency of the pollutants to accumulate in the topographical depressions. Furthermore, a simple methodology is proposed to derive NO₂ from NO_x concentrations based on an empirical fitting of two months of observations. The statistical indicators for NO₂ computed in this way are similar to those obtained with photochemical models, making this approach a valid, and computationally efficient, alternative, in particular for forecasting purposes. In the last part of this contribution, the model is used to derive information that can be useful for air pollution abatement strategies. In particular, it has been found that: 1) there is no pollutant accumulation from one day to the following one, so the air quality of one day is entirely determined by the emissions and meteorological conditions of that day, 2) displacing part of the emissions of the rush hours to the central hours of the day, when the dispersive conditions are more favorable, can significantly reduce the peaks, and to a lesser extent the daily mean, without changing the total amount of pollutants emitted. So, reducing the total amount of pollutants emitted is not the only way to improve air quality. Benefits can be achieved also by redistributing the emissions in a more optimal way during the whole diurnal cycle.