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. Long-established 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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References

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Patil, T., & Kulkarni, D. S. (2018). Analysis of Air Quality Estimation based on Air Pollutants Parameters. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 4(II). Retrieved from https://asianssr.org/index.php/ajct/article/view/803
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