Determinación de algoritmo de estimación de dióxido de azufre (SO2) atmosférico mediante sensores remotos para ecosistemas altoandinos

Abstract

The high-Andean ecosystems are sensitive to problems caused by the pollution of the air, due to the increase in population density, high concentrations of gases emitted by cars, industries and fuels. Air pollutant gases include the Sulphur Dioxide (SO2) irritant gas to high concentrations that affects the respiratory and cardiovascular system. This research aims to estimate the concentrations of SO2 atmospheric pollutant that has an impact on the deterioration of the air quality of the city of Cuenca with remote sensors. The methodology relates the concentrations of SO2 that were measured in-situ by the network of monitoring quality of air of the public company of mobility, traffic and transport of Cuenca (EMOV-EP) and the information derived from 4 satellite Landsat-8 images that involves sensors: Thermal Infrared Sensor (TIRS) and Thermal Infrared Sensor (TIRS), and through the application of the algorithm of the spectral radiance (AOA) and surface temperatures were estimated concentrations of SO2. The technical relationship between satellite data and measurements data and ground measurements is analyzed by correlation analysis and linear regression analysis, which incorporates generalized additive models (GAM). The results indicate a reliable statistical model, providing coefficients of determination: R² = 0,642, R² = 0,553, R² = 0,694, R² = 0,678. This study can be a valuable tool for decision making by the entities that collaborate in the analysis of air pollution in the city