Analysis of Air Quality Estimation based on Air Pollutants Parameters

  • Tejaswini Rajendra Patil
  • Dr.Siddhivinayak Kulkarni

Abstract

Air quality is the degree that tells us how pure or
polluted the air is. It is important to know air quality in
our surrounding as it negatively impacts human health
and environment. Modernization and industrialization
have given birth to air pollution which has become
hidden killer. Making cities more respirable starts by
analyzing and seizing the air pollution data. Longestablished
air quality prediction model gave less
accurate and unsatisfactory result. There is a need of
reliable data-analytics based solutions which will
optimally predict air quality thereby enhancing our
quality life. We evaluated various studies in this domain
and summated the important researches done. This work
will give future directions to the upcoming researchers.

Keywords: Air Quality Prediction, Deep Learning, Neural Networks, meteorological factors, PM values

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How to Cite
Patil, T., & Kulkarni, D. (2019). Analysis of Air Quality Estimation based on Air Pollutants Parameters. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://asianssr.org/index.php/ajct/article/view/778
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