Title
Satellite data and air pollution sensor calibration for advanced images evaluation of PM<inf>2.5</inf>in Lima
Date Issued
2022
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
In the last decade, the air pollution networks are increasing in the main countries, however, the installation of low-cost or robust sensors have challenges associated to the geography installation and the proximity differences specially with buildings or mountains. Therefore, a calibration of the satellite with the air pollution sensor and networks should be a solution for the implementation in large scale in our countries. In this paper, it proposes a new methodology for the calibration of the satellite sensors and the low-cost sensor network installed in Lima with ten sensors. Therefore, the satellite data allows to evaluation all the city with 624′726′826′182 points, though pixel of 5m2, in each PM2.5 in Lima; our findings are a mean absolute error of 0.22 μg/m3 in a scale of 0 to 80μg/m3.
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Ciencias del medio ambiente
Subjects
Scopus EID
2-s2.0-85138771565
ISBN
9781665486361
Resource of which it is part
Proceedings of the 2022 IEEE 29th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2022
ISBN of the container
978-166548636-1
Sponsor(s)
Funds provided by Universidad Tecnologica del Perú. Authors would like to thank to Universidad Nacional de Colombia for the support and contribution.
Sources of information:
Directorio de Producción Científica
Scopus