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Pollutant Profile Estimation Using Unscented Kalman Filter

  • S. MetiaEmail author
  • S. D. Oduro
  • A. P. SinhaEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 591)

Abstract

In this paper, we develop an estimation model for carbon monoxide (CO) air pollution concentrations. CO is an important pollutant which is used to calculate an air quality index (AQI). AQI becomes less reliable as the proportion of data missing due to equipment failure and periods of calibration increases. This paper presents the Unscented Kalman filter (UKF) to predict missing data of atmospheric carbon monoxide concentrations using the time series data of monitoring stations.

Keywords

Carbon monoxide (CO) Unscented Kalman filter (UKF) Air quality index (AQI) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Faculty of Engineering and ITUniversity of Technology SydneySydneyAustralia
  2. 2.Department of Mechanical and Automotive Technology Education College of Technology Education KumasiUniversity of Education WinnebaKumasiGhana
  3. 3.Department of Electronics and Communication EngineeringBIT SindriDhanbadIndia

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