EGU21-14577
https://doi.org/10.5194/egusphere-egu21-14577
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Integration of multiple observed and model-derived hydrological variables in landslide initiation threshold models in Rwanda 

Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
Judith Uwihirwe et al.
  • Delft University of Technology, Department of Water Management, Netherlands (uwihirwejudith@yahoo.fr)

This study was conducted using data collected from 3 catchments in North-Western region of Rwanda; Kivu, upper Nyabarongo and Mukungwa. We used two parsimonious  models, a transfer function noise time series model and a linear reservoir conceptual model, to simulate groundwater levels using rainfall and potential evapotranspiration as model inputs. The transfer function noise model was identified as the model with great explanatory predictive power to simulate groundwater levels as compared to the linear reservoir model. Hereafter, the modelled groundwater levels were used together with precipitation to explain the landslide occurrence in the studied catchments. These variables were categorized into landslide predisposing conditions which include the standardized groundwater level on the landslide day ht and prior to landslide triggering event ht-1 and landslide triggering conditions which include the rainfall event, event intensity and duration.  Receiver operating characteristics curve and area under the curve metrics were used to test the discriminatory power of each landslide explanatory variable. The maximum true skill statistics and the minimum radial distance were used to highlight the most informative hydrological and meteorological threshold levels above which landslide are high likely to occur in each catchment. We will discuss our results of incorporation of groundwater information in the landslide predictions and compare these results with landslide prediction capacity which solely use of precipitation thresholds.Here we focus on at the same time on the practicalities of data availability for day-to-day landslide hazard management, both in terms of missed and false alarms

How to cite: Uwihirwe, J., Hrachowitz, M., and Bogaard, T.: Integration of multiple observed and model-derived hydrological variables in landslide initiation threshold models in Rwanda , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-14577, https://doi.org/10.5194/egusphere-egu21-14577, 2021.

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