Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 5
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

Viewed

Total article views: 2,117 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,448 594 75 2,117 48 46
  • HTML: 1,448
  • PDF: 594
  • XML: 75
  • Total: 2,117
  • BibTeX: 48
  • EndNote: 46
Views and downloads (calculated since 02 Aug 2021)
Cumulative views and downloads (calculated since 02 Aug 2021)

Viewed (geographical distribution)

Total article views: 2,117 (including HTML, PDF, and XML) Thereof 1,958 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint