The sensitivity of the surface ozone formation in the metropolitan area of rio de janeiro to nox and vocs concentrations using the cmaq model

Presented at the 9th Annual CMAS Conference, Chapel Hill, NC, October 11-13, 2010

Improvements in Emissions and Air Quality Modeling System applied to Rio de Janeiro – Brazil
Santolim, L. C. D; Curbani, F.; Albuquerque, T. T. A; Morais, T. J.; Cavassani, K. N.; F. Frizzera, A. B.; Scardini, C.; Silva, M. L. B.; Vieira, M. R; Kohler, L. A; Oliveira, A. M. P; Gonsalves, T. B. EcoSoft – Consultoria e Softwares Ambientais Ltda: Consulting, Softwares and Monitoring (www.ecosoft.com.br) newly created emissions inventory was used as input for CMAQv4.6. This paper presents a package tool to quantify and evaluate the local air quality. The main aim of the work is to implement a calculation tool to predict air pollutant concentrations and the impact of potential mitigation measures on the local air quality. An emission inventory was created to the Metropolitan Area of Rio de Janeiro (MARJ) based on 2008 year as well as mitigation scenarios.

1. INTRODUCTION

It was developed an alternative tool to build a spatially (3D geo-referenced framework) and temporally resolved emissions inventory called SIA-ATMOS. All kind of sources arising from the study area are included in the software, i.e. mobile sources, industrial and commercial emissions, open burning, dust resuspension and stack releases. Input data to feed the software include geo-referenced location for all the considered sources, traffic patterns, integrated emission factors for mobile sources, fleet composition, energy generation at local power plants, natural gas burning in residential and commercial places and trash and vegetation burning rates, among others information. Additional to that, an interesting aspect of this work is the CMAQ coupling into this package tool, which allows users without Linux knowledge to work with these types of models. Thus in the course of this work, it was introduced a routine into SIA-ATMOS which modifies the time independent sparse gridding matrix (GRDMAT) depending on