Open AccessSupervised Classification Estimate towards Air Pollutant Quantification of Delhi and Udaipur
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f1032.0386s20
Subject(s) - particulates , nitrogen dioxide , ozone , air quality index , environmental science , environmental chemistry , relative humidity , pollutant , nox , air pollution , carbon dioxide , nitrogen , chemistry , meteorology , geography , organic chemistry , combustion
The paper analyses air quality using supervised machine learning classifiers. The factorsconsidered for parameter selection towardsaffecting air quality are Benzene, BP(Barometer Pressure), PM10(Particulate Matter), PM2.5(Particulate Matter), RH(Relative Humidity), CO(Carbon Monoxide), NH3(Ammonia), NO(Nitrogen Oxide), NO2(Nitrogen Dioxide), NOx(Nitrogen Oxides), Ozone, SO2(Sulphur Dioxide).Curve fitting has been applied for analyzingpollutantsin air.