Integration of observed and model-derived groundwater  levels in landslide threshold models in Rwanda

Uwihirwe, Judith; Hrachowitz, Markus; Bogaard, Thom

doi:https://doi.org/10.5194/nhess-22-1723-2022

Articles | Volume 22, issue 5

https://doi.org/10.5194/nhess-22-1723-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-22-1723-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 5

Research article

|

23 May 2022

Research article |

| 23 May 2022

Integration of observed and model-derived groundwater levels in landslide threshold models in Rwanda

Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard

Data sets

Data underlying the research of Integration of observed and model derived groundwater levels in landslide threshold models in Rwanda J. Uwihirwe https://doi.org/10.4121/15040446.v1

Short summary

This research tested the value of regional groundwater level information to improve landslide predictions with empirical models based on the concept of threshold levels. In contrast to precipitation-based thresholds, the results indicated that relying on threshold models exclusively defined using hydrological variables such as groundwater levels can lead to improved landslide predictions due to their implicit consideration of long-term antecedent conditions until the day of landslide occurrence.