Estimación de la contaminación del aire por PM10 en Quito a través de índices ambientales con imágenes LANDSAT ETM+

Abstract

Air pollution in cities is a process growing every day. Currently we have sought to reduce this pollution and the factors involved through good environmental man- agement by identifying the sources of pollution and passive techniques such as automatic air quality monitoring as the case of the city of Quito stations. 
This paper conducts an investigation to define whether models generated from satellite images with field data, models adapted to simple and multiple regression, can be employed in Ecuador, with satisfactory results in Quito taNing the model that best fits that has relationship between Aerosol Optical TicNness (AOT) and Particu- lar Matter less than 10 microns (PM10) (Othman et al., 2010), with correlation values above 90%. 
In the city, you have data from air pollutants such as less than 10 microns (PM10) daily basis particulate matter due to the data of the monitoring stations. When combined with data processed satellite images can help to identify sites where you have problems and suggest that other cities do not have the resources to acquire and maintain permanent air stations can opt for this methodology. 
The results achieved in the research for each of the 3 years itself infer the value of PM10 throughout the city.