• ANURAG SINHA Department of Computer Sciences, Amity University Jharkhand, Ranchi, India.
  • SHUBHAM SINGH Department of Computer Science and IT, BIT Mesra, Ranchi, India.


air pollution, machine learning, support vector machine, regression, classification


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 machine learning algorithm.


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How to Cite

SINHA, A., & SINGH, S. (2021). DYNAMIC FORECASTING OF AIR POLLUTION IN DELHI ZONE USING MACHINE LEARNING ALGORITHM. Quantum Journal of Engineering, Science and Technology, 2(3), 40–53. Retrieved from https://qjoest.com/index.php/qjoest/article/view/28