• K. Teja
• M.Hari Krishna
• M.Siva Someswara Rao
• M.Raghu Aravind
• P.Sai Ram,M.Sumanth Rayudu,Y.Swetha

This research work presents a method of daily air pollution modeling by using support vector machine (SVM) technique in urban area at local scale.Hazardous air pollutants or toxic air contaminants refer to any substances that may cause or contribute to an increase in mortality or in serious illness, or that may pose a present or potential hazard to human health.In this work, based on the observed data of Sulphur Dioxide, Nitrogen Dioxide, Respiratory Suspended Particulate (RSPM) PM-10, Particulate Matters- PM 2.5 for the years 2017 to 2021.The support vector regression (SVR) technique is used to build the nonlinear dynamic model of the air quality in the urban area of the city of one main aim of this model was to make an initial preliminary estimate of the dependence between primary and secondary pollutants in the city. A second main aim was to determine the factors with the greatest bearing on air quality with a view to proposing health and lifestyle improvements. It is well-known that the United States National Ambient Air Quality Standards (NAAQS) establishes the limit values of the main pollutants in the atmosphere in order to ensure the health of healthy people.They are known as the criteria pollutants. This SVR fit captures the prime idea of statistical learning theory in order to obtain a good forecasting of the dependence among the main pollutants in the city’s of Andhra Pradesh Finally, on the basis of these numerical calculations using SVR technique, from the experimental data, conclusions of this study are exposed.As air pollution is a complex mixture of toxic components with considerable impact on humans,forecasting air pollution concentration emerges as a priority for improving life quality. So with the help of Python tools and some Machine Learning algorithms, we try to predict the air quality.In the 21st century, world is increasing its level of technology & engineering which have given potential rise to the spread of pollution in the environment. Air pollution is important among them as human couldn’t survive without O2, such O2 levels are getting detoriated by deforestation, burning of fossil fuels etc.As per the studies made in the year 2019, air pollution is responsible for 5 million deaths every year which will be 9% of deaths globally varies from 2 to 15% by country. In the recent events of COVID-19 pandemic, NASA has observed air quality index globally using satellite measurements which drops 30 % of pollutants worldwide. As every country is busy in vaccination process in order to protect the human race from this pandemic, but before this situation all living have suffered from the air pollutants one way or the other.This scenario has been observed in our India also as major metropolitan cities such as Delhi, Mumbai, and Chennai etc major air pollutants of PM2.5, PM10, SO2, and NO2etc have significant dip in their levels and there is need to propose strong policies that replicates protection of air quality after the COVID-19. Our current study is made on the Vijayawada city is order to assess the amount of air pollutants that made an impact.

RSPM, NAAQS, SVR,NASA

"EXPERIMENTAL STUDY ON APPLICATION OF SUPPORT VECTOR MODEL THROUGH PYTHON PROGRAMMING TO PREDICT THE AIR QUALITY PARAMETERS”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.f455-f460, March-2022, Available :http://www.jetir.org/papers/JETIR2203559.pdf

"EXPERIMENTAL STUDY ON APPLICATION OF SUPPORT VECTOR MODEL THROUGH PYTHON PROGRAMMING TO PREDICT THE AIR QUALITY PARAMETERS”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppf455-f460, March-2022, Available at : http://www.jetir.org/papers/JETIR2203559.pdf