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Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability

Author

Listed:
  • Shirin Moradi

    (Agrosphere Institute (IBG 3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany)

  • Thomas Heinze

    (Geophysics, Institute of Geosciences, University of Bonn, 53113 Bonn, Germany
    Current address: Applied Geology, Institute of Geology, Mineralogy and Geophysics, Ruhr-University Bochum, 44801 Bochum, Germany.)

  • Jasmin Budler

    (Geophysics, Institute of Geosciences, University of Bonn, 53113 Bonn, Germany
    Current address: Applied Geology, Institute of Geology, Mineralogy and Geophysics, Ruhr-University Bochum, 44801 Bochum, Germany.)

  • Thanushika Gunatilake

    (Geophysics, Institute of Geosciences, University of Bonn, 53113 Bonn, Germany
    Current address: Centre for Hydrogeology and Geothermics (CHYN), University of Neuchâtel, 2000 Neuchâtel, Switzerland.)

  • Andreas Kemna

    (Geophysics, Institute of Geosciences, University of Bonn, 53113 Bonn, Germany)

  • Johan Alexander Huisman

    (Agrosphere Institute (IBG 3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany)

Abstract

Rainfall-induced landslides are a disastrous natural hazard causing loss of life and significant damage to infrastructure, farmland and housing. Hydromechanical models are one way to assess the slope stability and to predict critical combinations of groundwater levels, soil water content and precipitation. However, hydromechanical models for slope stability evaluation require knowledge about mechanical and hydraulic parameters of the soils, lithostratigraphy and morphology. In this work, we present a multi-method approach of site characterization and investigation in combination with a hydromechanical model for a landslide-prone hillslope near Bonn, Germany. The field investigation was used to construct a three-dimensional slope model with major geological units derived from drilling and refraction seismic surveys. Mechanical and hydraulic soil parameters were obtained from previously published values for the study site based on laboratory analysis. Water dynamics were monitored through geoelectrical monitoring, a soil water content sensor network and groundwater stations. Historical data were used for calibration and validation of the hydromechanical model. The well-constrained model was then used to calculate potentially hazardous precipitation events to derive critical thresholds for monitored variables, such as soil water content and precipitation. This work introduces a potential workflow to improve numerical slope stability analysis through multiple data sources from field investigations and outlines the usage of such a system with respect to a site-specific early-warning system.

Suggested Citation

  • Shirin Moradi & Thomas Heinze & Jasmin Budler & Thanushika Gunatilake & Andreas Kemna & Johan Alexander Huisman, 2021. "Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability," Land, MDPI, vol. 10(4), pages 1-23, April.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:423-:d:537062
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    References listed on IDEAS

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    1. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
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    Cited by:

    1. Fabio Luino & Jerome De Graff & Marcella Biddoccu & Francesco Faccini & Michele Freppaz & Anna Roccati & Fabrizio Ungaro & Michele D’Amico & Laura Turconi, 2022. "The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy)," Land, MDPI, vol. 11(8), pages 1-26, July.
    2. Jasmin Grifka & Maximilian Weigand & Andreas Kemna & Thomas Heinze, 2022. "Impact of an Uncertain Structural Constraint on Electrical Resistivity Tomography for Water Content Estimation in Landslides," Land, MDPI, vol. 11(8), pages 1-13, July.
    3. Philipp Marr & Yenny Alejandra Jiménez Donato & Edoardo Carraro & Robert Kanta & Thomas Glade, 2023. "The Role of Historical Data to Investigate Slow-Moving Landslides by Long-Term Monitoring Systems in Lower Austria," Land, MDPI, vol. 12(3), pages 1-22, March.
    4. Enrico Miccadei & Cristiano Carabella & Giorgio Paglia, 2022. "Landslide Hazard and Environment Risk Assessment," Land, MDPI, vol. 11(3), pages 1-5, March.

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