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Particulate Matter Concentration Estimation from Satellite Aerosol and Meteorological Parameters: Data-Driven Approaches

  • Conference paper
Knowledge and Systems Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 244))

Abstract

Estimation of Particulate Matter concentration (PM1, PM2.5 and PM10) from aerosol product derived from satellite images and meteorological parameters brings a great advantage in air pollution monitoring since observation range is no longer limited around ground stations and estimation accuracy will be increased significantly. In this article, we investigate the application of Multiple Linear Regression (MLR) and Support Vector Regression (SVR) to make empirical data models for PM1/2.5/10 estimation from satellite- and ground-based data. Experiments, which are carried out on data recorded in two year over Hanoi - Vietnam, not only indicate a case study of regional modeling but also present comparison of performance between a widely used technique (MLR) and an advanced method (SVR).

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Author information

Authors and Affiliations

  1. University of Engineering and Technology, VNU, 144 XuanThuy, Hanoi, Vietnam

    Thi Nhat Thanh Nguyen, Viet Cuong Ta & Thanh Ha Le

  2. MEEO S.r.l., via Saragat 9, 44122, Ferrara, Italy

    Simone Mantovani

  3. SISTEMA GmbH, Waehringerstrasse 61, Vienna, Austria

    Simone Mantovani

Authors
  1. Thi Nhat Thanh Nguyen
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  2. Viet Cuong Ta
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  3. Thanh Ha Le
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  4. Simone Mantovani
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Corresponding author

Correspondence to Thi Nhat Thanh Nguyen .

Editor information

Editors and Affiliations

  1. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Van Nam Huynh

  2. UMR CNRS 7253 Heudiasyc, Universite de Technologie de Compiegne, Compiegne Cedex, France

    Thierry Denoeux

  3. Faculty of Information Technology, Hanoi National University of Education, Hanoi, Vietnam

    Dang Hung Tran

  4. Faculty of Information Technology, University of Engineering and Technology, Hanoi, Vietnam

    Anh Cuong Le

  5. Faculty of Information Technology, University of Engineering and Technology, Hanoi, Vietnam

    Son Bao Pham

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Nguyen, T.N.T., Ta, V.C., Le, T.H., Mantovani, S. (2014). Particulate Matter Concentration Estimation from Satellite Aerosol and Meteorological Parameters: Data-Driven Approaches. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_30

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  • DOI: https://doi.org/10.1007/978-3-319-02741-8_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02740-1

  • Online ISBN: 978-3-319-02741-8

  • eBook Packages: EngineeringEngineering (R0)

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