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Detecting and analyzing fault edges in sampled ground movements

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Abstract

For describing height changes, ground movement models (bivariate polynomials) are used. These models approximate the ground movement measured at discrete bench marks by high-precision levelings. Because fault edges can be existent in the regions of investigation, they have to be detected and separated from the smooth ground movement. The present study proposes an algorithm that is able to detect and analyze subregions where fault edges are most likely. This algorithm is investigated based on a simulated example and tested using real sample regions: subregions containing a fault edge most likely can be identified. Furthermore, this fault edge is analyzed by revealing outliers in the approximation. If the spatial distribution and magnitude of these outliers is inconspicuous, the existence of a significant fault edge is very unlikely. Based on first considerations, the likeliness of a fault edge can even be analyzed by calculating curvature radii if using denser sampled measurements of remote sensors. These curvature radii can afterwards be used to quantify the damage-potential of the fault edge.

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Acknowledgments

The writers thank the anonymous reviewers for their valuable comments and suggestions that helped to significantly improve the quality of the paper.

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Authors and Affiliations

  1. Institute of Geodesy and Geoinformation, University of Bonn, Nußallee 17, 53115, Bonn, Germany

    Christoph Holst & Heiner Kuhlmann

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  1. Christoph Holst
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  2. Heiner Kuhlmann
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Correspondence to Christoph Holst.

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Holst, C., Kuhlmann, H. Detecting and analyzing fault edges in sampled ground movements. Appl Geomat 7, 103–114 (2015). https://doi.org/10.1007/s12518-014-0145-9

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  • DOI: https://doi.org/10.1007/s12518-014-0145-9

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