Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach

Md Mazharul Islam*, Mowshumi Sharmin, Faroque Ahmed

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Air pollution has emerged as one of the major public health threats. In recent years, Bangladesh has ranked among top air polluted countries around the globe. Air quality in Bangladesh is measured on daily basis using national standards of five pollutants—NO2, CO, Ozone (O3), SO2, and particulate matter (PM2.5 and PM10) and presented as indexed value ranged from 0 to 500 which is further classified from good to extremely unhealthy. In this study, we have applied Seasonal Autoregressive Integrated Moving Average (SARIMA) model to forecast weekly air quality of Dhaka and Sylhet divisions in Bangladesh. Our study reveals the existence of seasonal pattern of the air quality and suggests extremely unhealthy and very unhealthy air in January–March 2020. Therefore, policymaker should address this period as the air quality directly influences public health.

Original languageEnglish
Pages (from-to)607-615
Number of pages9
JournalAir Quality, Atmosphere and Health
Volume13
Issue number5
DOIs
Publication statusPublished - May 1 2020

Keywords

  • Air pollution
  • Air quality
  • Bangladesh
  • SARIMA model
  • Time series modeling

ASJC Scopus subject areas

  • Pollution
  • Atmospheric Science
  • Management, Monitoring, Policy and Law
  • Health, Toxicology and Mutagenesis

Fingerprint Dive into the research topics of 'Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach'. Together they form a unique fingerprint.

Cite this