Applying Decision Tree Algorithm for Air Quality Prediction in Bangladesh

Mariam Hussain, Sajia Afrin, Afroza Irin, Seon Ki Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rapid urbanization, socio-economic development, and industrialization result in serious deterioration in air quality (AQ). For environmental management, prediction can be a mitigation and regulation for an adaptation method. This paper applies a supervised machine-learning (ML) technique, decision tree (DT), to predict AQ. In Matlab 2018b, AQ values and climate variables (temperature, relative humidity, wind speed, and rainfall) classify categorical AQ. For eight divisions in Bangladesh, AQ datasets are obtained from the Department of Environment (DOE), while weather variables are acquired from the National Aeronautics Space Administration (NASA)-Prediction of Worldwide Energy Resources (POWER) project. The experiments include daily observations for seven years (2014 to 2020) indicating an average unhealthy AQ (65 to 75% per year) among the chosen metropolitans. DT as a predictive model, datasets from Dhaka are utilized in training (80%) and validation (20%) resulting in an accuracy of 98.8%. This model further is applied to forecast monthly AQ for Chittagong and found predictability ≥97%. Finally, AQ is predicted and found 96% accuracy for eight cities (year: 2020). The investigations encourage providing AQ alerts to the public mostly among data-sparse regions.

Original languageEnglish
Title of host publication2021 5th International Conference on Electrical Information and Communication Technology, EICT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665409063
DOIs
StatePublished - 2021
Event5th International Conference on Electrical Information and Communication Technology, EICT 2021 - Khulna, Bangladesh
Duration: 17 Dec 202119 Dec 2021

Publication series

Name2021 5th International Conference on Electrical Information and Communication Technology, EICT 2021

Conference

Conference5th International Conference on Electrical Information and Communication Technology, EICT 2021
Country/TerritoryBangladesh
CityKhulna
Period17/12/2119/12/21

Keywords

  • Air quality
  • Bangladesh
  • Decision tree algorithm
  • Metropolitans
  • Predictability
  • Supervised machine-learning

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