Journal Article

FZJ-2021-01998

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability

Moradi, S.FZJ* ; Heinze, T. ; Budler, J. ; Gunatilake, T. ; Kemna, A. ; Huisman, J. A. (Corresponding author)FZJ*

2021
MDPI Basel

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Please use a persistent id in citations: http://hdl.handle.net/2128/27721  doi:10.3390/land10040423

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.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 217 - Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten (POF4-217) (POF4-217)

Appears in the scientific report 2021

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Database coverage:
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