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Comparison of 2D & 3D Parameter-Based Models in Urban Fine Dust Distribution Modelling

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Advances in 3D Geoinformation

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

In the present study two Land Use Regression Models for the estimation of urban fine dust distribution were established and compared. The first model used 2D parameters derived from an Open Street Map project data (OSM) and the second model used 3D parameters derived from a CityGML-based 3D city model. Both models predict fine-dust concentrations by using urban morphological (2D resp. 3D) and additional semantic parameters. The models were applied to a 2 km2 study area in Berlin, Germany. The 2D-LUR model explained 84 % of the variance of TNC for the full data set with root mean square error (RMSE) of 3284 cm−3 while the 3D-LUR explained 79 % of the variance with an RMSE of 3534 cm−3. Both models are capable to depict the spatial variation of TNC across the study area and showed relatively similar deviation from the measured TNC. The 3D-LUR needed less parameters than the 2D-LUR model. Furthermore, the semantic parameters (e.g. streets type) played a significant role in both models.

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Acknowledgment

We acknowledge the support of Stephan Weber from the institute of geoecology of the Technische Universität Braunschweig for the supply of the measurement device that was used to perform this study.

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Authors and Affiliations

  1. Institute for Geodesy and Photogrammetry, Technische Universität Braunschweig, Braunschweig, Germany

    Yahya Ghassoun

  2. Institute for Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany

    M. -O. Löwner

Authors
  1. Yahya Ghassoun
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  2. M. -O. Löwner
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Corresponding author

Correspondence to Yahya Ghassoun .

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Editors and Affiliations

  1. Department of Geoinformation, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

    Alias Abdul-Rahman

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Ghassoun, Y., Löwner, M.O. (2017). Comparison of 2D & 3D Parameter-Based Models in Urban Fine Dust Distribution Modelling. In: Abdul-Rahman, A. (eds) Advances in 3D Geoinformation. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-25691-7_13

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