Spatial estimation of surface ozone concentrations in Quito Ecuador with remote sensing data, air pollution measurements and meteorological variables

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Alvarez Mendoza, CI (Author) Other; Ana Teodoro (Author) FCUP; Ramirez Cando, L (Author) Other

Journal

Title: Environmental Monitoring and Assessment

Vol. 191

ISSN: 0167-6369

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 22 Citations

Scopus - 22 Citations

Other information

Authenticus ID: P-00Q-7A3

DOI: 10.1007/s10661-019-7286-6

Abstract (EN): Surface ozone is problematic to air pollution. It influences respiratory health. The air quality monitoring stations measure pollutants as surface ozone, but they are sometimes insufficient or do not have an adequate distribution for understanding the spatial distribution of pollutants in an urban area. In recent years, some projects have found a connection between remote sensing, air quality and health data. In this study, we apply an empirical land use regression (LUR) model to retrieve surface ozone in Quito. The model considers remote sensing data, air pollution measurements and meteorological variables. The objective is to use all available Landsat 8 images from 2014 and the air quality monitoring station data during the same dates of image acquisition. Nineteen input variables were considered, selecting by a stepwise regression and modelling with a partial least square (PLS) regression to avoid multicollinearity. The final surface ozone model includes ten independent variables and presents a coefficient of determination (R-2) of 0.768. The model proposed help to understand the spatial concentration of surface ozone in Quito with a better spatial resolution.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15