Statistical evaluation of the urban atmospheric dispersion model DAUMOD-GRS to estimate NO2 concentrations using new available data from Buenos Aires

RAFAEL BORGE; PINEDA ROJAS, ANDREA L.

Conferencia; 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (Harmo19); 2019

Harmo

In this work, a new statistical evaluation of the urban scale atmospheric dispersion model DAUMOD-GRS is presented considering four years (2009-2012) of surface hourly meteorological data and nitrogen dioxide (NO2) concentrations from three air quality monitoring stations [representative of urban background (UB), urban traffic (UT) and urban industrial (UI) conditions] in the city of Buenos Aires. Statistical measures indicate that the performance of the model to estimate NO2 concentrations in the city is reasonable, especially at the UB site. Additional simulations with different chemical settings show that modelled NO2 concentrations are sensitive to the ozone background level. Potential model improvements include a variable ozone background concentration which needs to be assessed further considering the performance of the model to estimate ozone and nitrogen dioxide jointly.