Open AccessAir Quality Index Detection Using Machine Learning and IOT
Author(s) -
G L Rajeshwari
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem11605
Subject(s) - air quality index , index (typography) , air pollution index , air pollution , environmental science , quality (philosophy) , air pollutants , pollutant , computer science , meteorology , geography , philosophy , chemistry , organic chemistry , epistemology , world wide web
Air quality index (AQI) is a quantitative tool through which air pollution data can be reported, providing information on how clean or polluted the air is. Several countries employ some type of air quality index to communicate the quality of their air. Some of these systems rely on relating measured (monitored) or predicted concentrations of air pollutants (results of modelling system). In this paper, a methodology for developing an air quality index (AQI) is presented. This index is air quality rating system based on the ambient air quality standards. The methodology applied in the calculation of this index can be applied for any country with replacing specific standards Key Words: AQI-air quality index, air quality standards.