A RSTUDIO-based modeling program for dispersion of particulate matter emissions using Gaussian plume equation

Abstract

Abstract Mathematical models allow evaluating the air pollutants effects to the environment under several conditions, being a relevant and a low-cost tool for planning and regulatory purposes. Recent studies have shown the effects of particulate matter on environment and human health, especially cardiovascular and respiratory diseases. This study aims to evaluate the air quality of Volta Redonda, Brazil, due to particulate matter emitted by stationary point sources of a steel industry using meteorological data from three monitoring stations. A mathematical model was developed RStudio®, using the Gaussian dispersion equation and Google Maps API to visualize the results. Davidson-Bryant plume rise equation was included. Observed data revealed southeastern, southeastern, northern and eastern light prevailing winds that were used to simulate particulate matter concentrations for 24-hour periods, under stable and unstable conditions according Pasquill-Guifford classification. The results show that the stations exceed the daily standards determined by the legislation in different scenarios, with Santa Cecília station, being the one that violated these standards the most, reaching an average daily value of 3673.04 µgm -3, with an hourly peak of 7712.76 µgm -3, for the scenario of prevailing northwest winds and wind speed of 1 ms -1. Other stations also violated the standards, with the Retiro station showing better results for the north and northwest wind directions.