Air Quality Prediction

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Overview

Air quality prediction estimates how pollutant concentrations such as PM2.5, PM10, ozone, and nitrogen dioxide vary across places and over time, helping inform public health alerts and exposure assessment. Methods range from statistical time-series models and recurrent networks to transformers, state-space models, and graph neural networks that combine station histories with weather, wind, terrain, satellite imagery, and land-use data. Physics-informed models represent processes such as pollutant transport and chemical change, while multimodal fusion, transfer learning, and lightweight edge models address sparse monitoring and deployment constraints. A central challenge is reliable performance beyond familiar regions and conditions: missing observations, geographic shifts, extreme events, and uncertain forecasts can undermine models that score well on conventional benchmarks, and predictive accuracy alone does not guarantee physically meaningful results.

Latest papers

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43 papers5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

  1. NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting

    Apr 1, 2026Prasanjit Dey, Soumyabrata Dev, Angela Meyer +1Air Quality PredictionSpatiotemporal Forecasting

  2. Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings

    Mar 31, 2026Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-PhelanAir Quality PredictionLLM-Based Time Series Forecasting

    ADAPT SFI Research Centre, School of Computer Science, Technological University Dublin, Ireland · ADAPT SFI Research Centre, School of Computer Science, University College Dublin · School of Computer Science, Technological University Dublin, Ireland

  3. PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO2_2 and SO2_2 Using Satellite-Ground Data Fusion

    Mar 31, 2026Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-PhelanAir Quality PredictionMultimodal Sensor Fusion

    School of Computer Science, Technological University Dublin, Ireland. · ADAPT Research Ireland Centre, Ireland. · School of Computer Science, University College Dublin, Ireland.

  4. AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System

    Mar 29, 2026Paula Harder, Johannes Flemming, Mihai Alexe +3Air Quality PredictionSpatiotemporal Forecasting

    European Centre for Medium-Range Weather Forecasts (ECMWF)

  5. Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Adaptive Time-Series Models

    Mar 26, 2026Moazzam Umer Gondal, Hamad ul Qudous, Asma Ahmad Farhan +1Air Quality PredictionTime Series Forecasting

    School of Computing, National University of Computer & Emerging Sciences (FAST), Lahore 54000, Pakistan · College of Computing and Informatics, Saudi Electronic University, Riyadh, 11673, Saudi Arabia

  6. Benchmarking Scientific Machine Learning Models for Air Quality Data

    Mar 22, 2026Khawja Imran Masud, Venkata Sai Rahul Unnam, Sahara AliAir Quality PredictionForecasting Benchmarks

    University of North Texas, 76205 Texas, USA

  7. Rolling-Origin Validation Reverses Model Rankings in Multi-Step PM10 Forecasting: XGBoost, SARIMA, and Persistence

    Mar 19, 2026Federico Garcia Crespi, Eduardo Yubero Funes, Marina Alfosea SimonTime Series ForecastingAir Quality Prediction

    Departamento de Ingeniería de Computadores, Universidad Miguel Hernández, Elche, Spain · Departamento de Física Aplicada, Universidad Miguel Hernández, Elche, Spain

  8. End-to-end data-driven prediction of urban airflow and pollutant dispersion

    Mar 18, 2026Nishant Kumar, Franck Kerhervé, Lionel Agostini +1Air Quality PredictionSpatiotemporal Forecasting

    Institut Pprime, CNRS, Université de Poitiers, ISAE-ENSMA, Curiosity Team, Bât. H2 - Bd. Marie & Pierre Curie TSA 51124, 86073 Poitiers Cedex 9, France

  9. AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting

    Mar 18, 2026Binqing Wu, Zongjiang Shang, Shiyu Liu +3Air Quality PredictionMultivariate Time Series Forecasting

    State Key Laboratory of Blockchain and Data Security, Zhejiang University · College of Computer Science and Technology, Zhejiang University · State Key Laboratory of Clean Energy Utilization, Zhejiang University

  10. Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction

    Mar 12, 2026Ammar Kheder, Helmi Toropainen, Wenqing Peng +3Air Quality PredictionSpatiotemporal Forecasting

    Department of Computational Engineering, LUT University, Finland · Atmospheric Modelling Centre Lahti (AMC-Lahti), Finland · Institute for Atmospheric and Earth System Research, University of Helsinki, P.O. Box 64, Helsinki 00014, Finland +1

  11. Bi Directional Feedback Fusion for Activity Aware Forecasting of Indoor CO2 and PM2.5

    Mar 6, 2026Harshala Gammulle, Lidia Morawska, Sridha Sridharan +1Air Quality PredictionMultivariate Time Series Forecasting

    Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) Lab, Queensland University of Technology, Brisbane, Australia. · International Laboratory for Air Quality and Health (ILAQH), Queensland University of Technology, Brisbane, Australia.

  12. NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting in Delhi National Capital Region

    Feb 23, 2026Rampunit Kumar, Aditya MaheshwariLightweight Neural NetworksAir Quality Prediction

  13. TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Prediction

    Feb 18, 2026Ammar Kheder, Helmi Toropainen, Wenqing Peng +4Air Quality PredictionSpatiotemporal Forecasting

    Department of Computational Engineering, Lappeenranta–Lahti University of Technology LUT, Finland · Atmospheric Modelling Centre Lahti, Lahti University Campus, Finland · Institute for Atmospheric and Earth System Research, University of Helsinki, P.O. Box 64, Helsinki 00014, Finland +2