Análisis de datos geoespaciales y sensores remotos para la determinación de contaminantes de aire para la ciudad de quito entre los años 2013 a 2016.

The characterization of air quality is a problem that affects large cities and Quito does not escape this problem, among which the pollutants that are difficult to analyze in large areas are Carbon monoxide (CO), dioxide of Nitrogen (NO2) and Ozone (O3), the difficulty of its analysis is that there are usually few measuring stations for large areas, in this work it is proposed to use the Land Use Regression methodology (LUR) to obtain maps of the distribution of air pollutants such as CO, NO2 and O3 in the urban area of the Metropolitan District of Quito. Maps of annual averages of concentration of CO, NO2 and O3 for the years between 2013 and 2016 were made from LUR models. The values of the coefficient of determination R2 between the observed values and the values obtained from the LUR models vary from very low values of 0.2703 to values of 0.9812 for which we have models of bad adjustment (R2<0,5) until models of very good adjustment (R2>0,8). It was concluded that from geospatial data and satellite images it is possible to obtain values of air pollutants such as CO, NO2 and O3 without the requirement of having a large amount of data, so with this information they can be made in different cities of the country more extensive monitoring by just applying the model and making certain measurements at different points.

• Κύριος συγγραφέας: Cuásquer Jordán, José Elías (author)
• Άλλοι συγγραφείς: Paredes Paredes, Bélgica Estefanía (author)
• Μορφή: bachelorThesis
• Γλώσσα: spa
• Έκδοση: 2018
• Θέματα: ESTADÍSTICAS AMBIENTALES; CONTAMINACIÓN DEL AIRE
• Διαθέσιμο Online: http://dspace.ups.edu.ec/handle/123456789/15243