Estudo do fluxo de deposição de partículas para a Região Metropolitana da Grande Vitória usando dados de Partículas Totais em Suspensão

• Autor(a) principal: Alves, Mayana Rigo
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
• Texto Completo: http://repositorio.ufes.br/handle/10/10247
• topic: Atmospheric Aerosol; Settled Particles; Total Suspended Particles; Fluxo de deposição; Velocidade de deposição; Material particulado depositado; Engenharia Sanitária; Ar - Qualidade - Vitória, Região Metropolitana de (ES); Legislação; Toxicologia ambiental; 628

Most scientific studies regarding the atmospheric aerosol is related to fine particles (less than 2.5 µm or less than 10 µm), due to its effects on lung health of humans; however, larger particles can cause considerable annoyance to the population, due to their deposition on surfaces (Settled Particulate Matter – SPM). Most experimental methods for the quantification of these particles are laborious and expensive, motivating the use of theoretical methods or indirect methods of quantification. The aim of the indirect methods is to reduce the cost of measurements and time to obtain the data. In this context, the objective of this study is to evaluate the hypothesis using data of TSP concentration (measured by automated equipment) for calculating the deposition flux, replacing the use of experimental methods for direct measurements of deposition based on gravimetry. Within this target, this study sought to contribute in the implementation of the monitoring network of sedimentary particles as well as expedite the process of obtaining the data flow of deposition of these particles. The deposition fluxes were measured from April 2009 to April 2010 at 7 stations of the Regional Air Quality Monitoring Network (RAMQAR), by using ASTM D1739 (1998). The deposition flux was estimated by four mathematical models. Three models are based on models existing literature and one model is based on a curve fit to obtain the deposition rate from the experimental data of deposition. The latter model showed better results than others, given the successful outcome of this last model was applied to the stations. Overall, the results were satisfactory, achieving 93% predict average flux values for the region. Thus, in general, the results indicate the a simple linear fitting can be used as a aiding tool for fast estimating of deposition fluxes where TSP measurements are available. Nonetheless, the model is dependent on the existence of deposition flux measurements for calibration.