ACCURATE OZONE PROGNOSTIC PATTERNS FOR MADRID AREA BY USING A HIGH SPATIAL AND TEMPORAL EULERIAN PHOTOCHEMICAL MODEL

The ANA Air Quality Model (ANA stands for Atmospheric Mesoscale Numeri cal Pollution Model for Regional and Urban Areas) has been applied ove r Madrid during a five day period in June, 1995. The domain is 80 x 10 0 km(2) and the spatial resolution is 2000 m. The ANA system is driven by a meteorological model REMEST and it includes a detailed emission model for anthropogenic and biogenic sources with 250 m spatial resolu tion and 60 minutes temporal resolution. Different deposition processe s are used such as the Wesely (1989) and Erisman er al. (1994) resista nce approaches and the simple aerodynamic resistance.The photochemical processes and the general chemistry is based on the CBM-IV mechanism for the organic compounds and solved by the SMVGEAR method (CHEMA modu le). The model uses 14 different landuse types which are obtained by u sing the REMO module which uses the information provided by the LANDSA T-5 satellite image over the domain. The emission module EMIMA takes i nto account the point, line and area emissions over the domain. Specia l importance is given to the biogenic emissions which are obtained by using the satellite landuse classification for caducous, perenneal and mixed terrain. The emission module considers the EPA and CORINAIR emi ssion factors. The results show an accurate prediction of the ozone ma xima for the five days and also the general pattern of the ozone obser ved data. The five day simulation is characterized by a local low pres sure over the Madrid Area and high pressures over Spain and West of Eu rope. The ozone surface patterns show the diurnal cycle and the maxima concentrations up to 140-160 ppb for suburban areas during afternoon hours. The general performance of the model is considered quite good. The computer power requirements continue to be very high for standard workstations. Future progress on parallel platforms should improve con siderably the computer time requirements.