Open AccessReview on air pollution of Delhi zone using machine learning algorithm
Author(s) -
Anurag Sinha,
Shubham Singh
Publication year - 2021
Publication title -
journal of air pollution and health
Language(s) - English
Resource type - Journals
ISSN - 2476-3071
DOI - 10.18502/japh.v5i4.6446
Subject(s) - air pollution , air quality index , support vector machine , random forest , new delhi , pollution , machine learning , algorithm , air pollutants , pollutant , quality (philosophy) , computer science , analytics , environmental science , artificial intelligence , meteorology , data mining , geography , ecology , philosophy , chemistry , organic chemistry , metropolitan area , archaeology , epistemology , biology
The issue of pollution in urban cities is a major problem these days especially in cities like the New Delhi is detected with more number of toxic gases in air, which has deduced the air quality of New Delhi. Thus, predictive analytics play a significant role in predicting the future instances of air quality based on the historical data. Forecasting the air quality of these cities is mandatory to overcome its consequences. Several machines learning algorithm is widely used these days to predict the future instances. Such as random forest, support vector machine, regression, classification, and so on. Main pollutants which present in the air are PM2.5, PM10, CO, NO2 , SO2 and O3 . In this paper we have focused mainly on data set of New Delhi for predicting ambient air pollution and quality using several machines learning algorithm.