Conference Paper2023Cited by 14

Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh

Sheikh Rahmatulla Sakib, Kamarun Nahar Sara, Md Tahmid Hossain Rasel, Md Masudul Islam Asif, Md Aynul Hasan Nahid, Md Saifur Rahman, MF Mridha, Ashraful Islam

2023 IEEE World AI IoT Congress (AIIoT)

IEEE, pp. 0063–0069

  • Sustainable Cities and Communities — Relevance: 78%
DOI: 10.1109/aiiot58121.2023.10174539URL

Abstract

In Dhaka, the capital city of Bangladesh, various sources including vehicle emissions, industrial activities, brick kilns, building sites, and open rubbish burning contribute to the air pollution problem. To assess the air quality, the Air Quality Index (AQI) is utilized, which categorizes air quality based on pollutant concentration. In this study, we have built ARIMA, Auto-ARIMA, SARIMAX, and VAR models to predict the air quality of Dhaka. Unlike previous studies, we have utilized hourly air pollutants factors such as PM2.5, PM10, SO2, CO, NO2, and O3to forecast air quality. Our novel approach enables us to predict the monthly and weekly air quality of Dhaka city. Our analysis reveals that the SARIMAX model, which takes into account seasonal patterns, trends, and external factors, is the most accurate in predicting Dhaka city’s air quality. The model’s prediction performance is assessed using statistical indicators such as mean absolute percentage error and root mean square error. The study highlights that the SARIMAX model could aid policymakers in evaluating the efficacy of air pollution control measures.

Keywords

  • ozone
  • PM10
  • carbon monoxide
  • nitrogen dioxide
  • SARIMAX
  • sulfur dioxide
  • air quality forecasting
  • Dhaka
  • ARIMA
  • Air quality index

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

References

  1. 1.Yansui Liu, Yang Zhou, Jiaxin Lu. (2020). Exploring the relationship between air pollution and meteorological conditions in China under environmental governance. Scientific Reports, 10(1)[10.1038/s41598-020-71338-7]
  2. 2.Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah, Jubayer Al Mahmud, Mahmudul Hasan Popel, Md. Imran Hossain Showrov, Shakil Ahmed, Obaidur Rahman. (2020). A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem. Journal of Computer Science, 16(11), 1546–1557[10.3844/jcssp.2020.1546.1557]
  3. 3.Khan Md. Hasib, Md Rafiqul Islam, Shadman Sakib, Md. Ali Akbar, Imran Razzak, Mohammad Shafiul Alam. (2023). Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey. IEEE Transactions on Computational Social Systems, 10(4), 1568–1586[10.1109/tcss.2023.3263128]
  4. 4.Zahra Hajirahimi, Mehdi Khashei. (2022). Hybridization of hybrid structures for time series forecasting: a review. Artificial Intelligence Review, 56(2), 1201–1261[10.1007/s10462-022-10199-0]
  5. 5.Khan Md. Hasib, Md. Ahsan Habib, Nurul Akter Towhid, Md. Imran Hossain Showrov. (2021). A Novel Deep Learning based Sentiment Analysis of Twitter Data for US Airline Service. , 450–455[10.1109/icict4sd50815.2021.9396879]
  6. 6.Khan Md. Hasib, Anika Tanzim, Jungpil Shin, Kazi Omar Faruk, Jubayer Al Mahmud, M. F. Mridha. (2022). BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features. IEEE Access, 10, 108545–108563[10.1109/access.2022.3213818]
  7. 7.Shihab Ahmad Shahriar, Imrul Kayes, Kamrul Hasan, Mohammed Abdus Salam, Shawan Chowdhury. (2020). Applicability of machine learning in modeling of atmospheric particle pollution in Bangladesh. Air Quality Atmosphere & Health, 13(10), 1247–1256[10.1007/s11869-020-00878-8]
  8. 8.Iqra Sardar, Muhammad Azeem Akbar, Víctor Leiva, Ahmed Alsanad, Pradeep Mishra. (2022). Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries. Stochastic Environmental Research and Risk Assessment, 37(1), 345–359[10.1007/s00477-022-02307-x]
  9. 9.Zixi Zhao, Jinran Wu, Fengjing Cai, Shaotong Zhang, You‐Gan Wang. (2023). A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic. Scientific Reports, 13(1), 1015[10.1038/s41598-023-28287-8]
  10. 10.Khan Md. Hasib, Nurul Akter Towhid, Md Rafiqul Islam. (2021). HSDLM. International Journal of Cloud Applications and Computing, 11(4), 1–13[10.4018/ijcac.2021100101]
  11. 11.Abu Reza Md. Towfiqul Islam, Mohammed Al Awadh, Javed Mallick, Subodh Chandra Pal, Rabin Chakraborty, Md. Abdul Fattah, Bonosri Ghose, Most. Kulsuma Akther Kakoli, Md. Aminul Islam, Hasan Raja Naqvi, Muhammad Bilal, Ahmed Elbeltagi. (2023). Estimating ground-level PM2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh. Air Quality Atmosphere & Health, 16(6), 1117–1139[10.1007/s11869-023-01329-w]
  12. 12.Hanif Bhuiyan, Jinat Ara, Khan Md. Hasib, Md Imran Hossain Sourav, Faria Benta Karim, Cecília Sik‐Lányi, Guido Governatori, Andry Rakotonirainy, Shamsunnahar Yasmin. (2022). Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country. Scientific Reports, 12(1), 21243[10.1038/s41598-022-25361-5]
  13. 13.Md. Mazharul Islam, Mowshumi Sharmin, Faroque Ahmed. (2020). Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach. Air Quality Atmosphere & Health, 13(5), 607–615[10.1007/s11869-020-00823-9]
  14. 14.Emam Hossain, Mohd Arafath Uddin Shariff, Mohammad Shahadat Hossain, Karl Andersson. (2020). A Novel Deep Learning Approach to Predict Air Quality Index. Advances in intelligent systems and computing, 367–381[10.1007/978-981-33-4673-4_29]
  15. 15.Sadia Afrin, Mohammad Maksimul Islam, Tanvir Ahmed. (2020). A Meteorology Based Particulate Matter Prediction Model for Megacity Dhaka. Aerosol and Air Quality Research, 21(4), 200371[10.4209/aaqr.2020.07.0371]
  16. 16.Khan Md. Hasib, Shadman Sakib, Jubayer Al Mahmud, Kamruzzaman Mithu, Md. Saifur Rahman, Mohammad Shafiul Alam. (2022). COVID-19 Prediction based on Infected Cases and Deaths of Bangladesh using Deep Transfer Learning. 2022 IEEE World AI IoT Congress (AIIoT), 296–302[10.1109/aiiot54504.2022.9817160]
  17. 17.Al-Sadman Chowdhury, Md. Shihab Uddin, Md Rashad Tanjim, Fariha Noor, Rashedur M. Rahman. (2020). Application of Data Mining Techniques on Air Pollution of Dhaka City. , 562–567[10.1109/is48319.2020.9200125]
  18. 18.Hong Yang, Yiting Zhang, Guohui Li. (2023). Air quality index prediction using a new hybrid model considering multiple influencing factors: A case study in China. Atmospheric Pollution Research, 14(3), 101677[10.1016/j.apr.2023.101677]
  19. 19.Kim Leone Souza da Silva, Javier Linkolk López‐Gonzales, Josue E. Turpo-Chaparro, Esteban Tocto Cano, Paulo Canas Rodrigues. (2023). Spatio-temporal visualization and forecasting of $${\text {PM}}_{10}$$ in the Brazilian state of Minas Gerais. Scientific Reports, 13(1), 3269[10.1038/s41598-023-30365-w]
  20. 20.Nimisha Tomar, Durga Patel, Akshat Jain. (2020). Air Quality Index Forecasting using Auto-regression Models. 2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS), 1–5[10.1109/sceecs48394.2020.216]

Cited By

  1. 1.Darakhshan Rizwan Khan, Archana B. Patankar, Aayisha Khan. (2024). An experimental comparison of classic statistical techniques on univariate time series forecasting. Procedia Computer Science, 235, 2730–2740[10.1016/j.procs.2024.04.257]
  2. 2.Sabina-Cristiana Necula, Ileana Hauer, Doina Fotache, Luminița Hurbean. (2025). Advanced Hybrid Models for Air Pollution Forecasting: Combining SARIMA and BiLSTM Architectures. Electronics, 14(3), 549[10.3390/electronics14030549]
  3. 3.Alka Pant, Ramesh Chandra Joshi, Sanjay Sharma, Kamal Pant. (2024). Air Quality and Public Health Risk Assessment: A Case of an Industrial Area in Haridwar City, Uttarakhand (India). Indian Journal of Public Health, 68(2), 222–226[10.4103/ijph.ijph_279_23]
  4. 4.Mir Md. Mozammal Hoque, Md. Mizanur Rahman Mizan, Md. Nuralam Hossain, Md. Eusuf Sarker, N. A. Nahid Pranto, Md. Mehedi Hasan Khan, Md. Arfan Ali, Md. Sirajul Islam, Rubya Yesmin. (2025). Spatial distribution and diurnal variation of particulate matters and gaseous air pollutants of Dhaka city, Bangladesh. Discover Atmosphere, 3(1)[10.1007/s44292-025-00031-z]
  5. 5.Sen Yan, David J. O’Connor, Xiaojun Wang, Noel E. O’Connor, Alan. F. Smeaton, Mingming Liu. (2025). Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates. , 1–8[10.1109/cietes63869.2025.10995064]
  6. 6.Benjamin de Foy, James Schauer. (2024). Interpretable Diurnal Impacts on Extreme Urban Pm2.5 Concentrations of Soil Temperature, Soil Water Content, Humidity and Temperature Inversion. SSRN Electronic Journal[10.2139/ssrn.4777360]
  7. 7.Fariha Zaman Nishat, Saiful Islam, Jasiya Fairiz Raisa, Mosabber Uddin Ahmed. (2025). Comparing Deep Learning Frameworks for Air Quality Index (AQI) Prediction in Bangladesh: Static vs. Year-Wise Forecasting Evaluation. , 1148–1153[10.1109/iccit68739.2025.11489545]
  8. 8.J. M. Sadik-Ul Islam Smaron, M. M. Simoon, M D. Saroar Jaman, Jahanggir Hossain Setu, Ashraful Islam, M Ashraful Amin. (2024). Zero-Shot Inference with TimeGPT for Air Quality Prediction in Bangladesh. , 2534–2539[10.1109/iccit64611.2024.11022097]
  9. 9.Münevver Gizem Gümüş, Hasan Çağatay Çiftçi, Kutalmış Gümüş. (2025). COMPARISON OF FORECAST PERFORMANCES OF DIFFERENT METHODS BY ANALYSIS OF DYNAMIC INTERACTIONS BETWEEN CLIMATE VARIABLES: NIĞDE PROVINCE EXAMPLE. Konya Journal of Engineering Sciences, 13(4), 1042–1062[10.36306/konjes.1689527]
  10. 10.Md. Kawsar Ahmed, Abdul Hye, Md. Jarez Miah. (2025). An Efficient Framework Integrating Machine Learning and Deep Learning Techniques for Predicting Air Quality Index Category in Dhaka City. , 1–6[10.1109/qpain66474.2025.11172019]
  11. 11.MD. Nahul Rahman, Ejaj Ahmed Sadiq, Hibzur Rahman Mahim, Fahim Shahryer, Md Akhtaruzzaman. (2025). Comparative Analysis Among ARIMA, SARIMA, ETS, and TBATS to Forecast the Air Quality Index of 13 Cities in Bangladesh. , 1–6[10.1109/qpain66474.2025.11171954]
  12. 12.Mulugeta D. Amare, Daba S. Gedafa. (2025). Analyzing Spatial and Temporal Traffic Crash Dynamics across Rural and Urban Areas of North Dakota. , 69–80[10.1061/9780784486191.007]
  13. 13.Shilpi Vishwakarma, Shekhar, Arjun Singh. (2026). Forecasting the Air Quality Index Using an Advanced Hybrid Machine Learning Model. Lecture notes in networks and systems, 212–222[10.1007/978-3-032-10667-4_18]
  14. 14.Nayema Sanzida Alam, Marufa Akter Mitu, Md. Foysal Siddik, Ahammad Hossain, Jayanta Das, Md. Kamruzzaman, A. H. M. Rahmatullah Imon. (2026). Modeling and Predicting Air Quality Index of Bangladesh and India Using Machine Learning Approach. , 455–482[10.1007/978-3-032-11300-9_20]
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