STATISTICAL ANALYSIS OF DETERIORATION OF AIR QUALITY IN THE PANDEMIC ERA

G. R. Rao; Shubham Jain; Sarthak Soni; Anjali Parmar

STATISTICAL ANALYSIS OF DETERIORATION OF AIR QUALITY IN THE PANDEMIC ERA

Authors: G. R. Rao, Shubham Jain, Sarthak Soni, Anjali Parmar

Unique Paper ID: 155330
Volume: 9
Issue: 1
PageNo: 612-618

Keywords: Air Quality Jupyter Notebook Deterioration Analysis

Abstract:
Predicting air best is a complicated undertaking because of the dynamic nature, volatility, and high variability in time and area of pollutants and particulates. at the same time, being capable of version, are expecting, and screen air first-class is becoming increasingly more relevant, especially in urban areas, due to the discovered essential impact of air pollution on citizensâ€™ healt hand the environment. Managing air pollution is one of the principal environmental demanding situations in a smart city environment. actual-time tracking of pollutants statistics enables the metropolitans to investigate the cutting-edge site visitors state of affairs of the metropolis and take their selections as a consequence. Existing research has used specific machine learning equipment for pollutants prediction; however, comparative evaluation of these techniques is regularly required to have a better understanding in their processing time for more than one dataset. Our task analysis is supposed to forecast pollutant and particulate stages and to predict the air quality index (AQI).

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ISSN: 2349-6002
Volume: 9
Issue: 1
PageNo: 612-618

STATISTICAL ANALYSIS OF DETERIORATION OF AIR QUALITY IN THE PANDEMIC ERA

Available:https://ijirt.org/Article?manuscript=155330

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