Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1723-2022
https://doi.org/10.5194/nhess-22-1723-2022
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

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Latest update: 11 Jul 2024
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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.
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