Review on air pollution of Delhi zone using machine learning algorithm
The issue of pollution in urban cities is a major problem these days especiallyin cities like the New Delhi is detected with more number of toxic gases in air, whic h 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, SO2and 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.
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 Nidhi Sharmaa , Shweta Tanejab* , Vaishali Sagarc , Arshita Bhattd “Forecasting air pollution
load in Delhi using data analysis tools” International Conference on Computational Intelligence and
Data Science (ICCIDS 2018)
|Issue||Vol 5 No 4 (2020): Autumn 2020|
|Forecasting, Air pollution, Machine Learning.|
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