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@ARTICLE{Moradi:892289,
      author       = {Moradi, Shirin and Heinze, Thomas and Budler, Jasmin and
                      Gunatilake, Thanushika and Kemna, Andreas and Huisman, Johan
                      Alexander},
      title        = {{C}ombining {S}ite {C}haracterization, {M}onitoring and
                      {H}ydromechanical {M}odeling for {A}ssessing {S}lope
                      {S}tability},
      journal      = {Land},
      volume       = {10},
      number       = {4},
      issn         = {2073-445X},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2021-01998},
      pages        = {423 -},
      year         = {2021},
      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.},
      cin          = {IBG-3},
      ddc          = {630},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {217 - Für eine nachhaltige Bio-Ökonomie – von
                      Ressourcen zu Produkten (POF4-217)},
      pid          = {G:(DE-HGF)POF4-217},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000643218800001},
      doi          = {10.3390/land10040423},
      url          = {https://juser.fz-juelich.de/record/892289},
}