Abstract
Gullies experience varying states of activity during their life cycle. For example, their highest growth rates are commonly observed in the period that follows their initiation, whereas they are less active when reaching stability. Understanding the environmental conditions under which gullies initiate, expand, and stabilize is therefore vital to mitigate their impacts. Data-driven susceptibility assessments are key approaches to understanding these conditions at the catchment scale. However, such assessments commonly focus, at best, only on one part of the problem (e.g., on the gully heads) and do not consider gully erosion processes. So far, no study has attempted to explicitly model the life cycle of gullies at regional scale using statistical approach. Here, we help bridging this research gap through modeling separately the location where new gullies initiate and where they stabilize using both gully initiation points and gully heads. More specifically, we study over 4400 active and inactive gullies in the Southern Main Ethiopian Rift. Using logistic regression models, we assess the susceptibility to gully initiation points derived from slope-drainage area (S–A) thresholds. This is then compared with the susceptibility of active or inactive gully heads at the level of four catchments considered together and separately. Highly susceptible areas for gully initiation are mainly located in rejuvenated landscapes downslope of rifting-associated knickpoints, where steep hillslopes are more recent than those of the surrounding relict landscapes and where landslides are present. Planform concave slopes with a higher surface runoff concentration favor initiation of gullies. In contrast, gullies stabilize in planform convex slopes with a more diffusive characteristic. The resulting susceptibility models can contribute to the decision-making process on the optimized locations of soil and water conservation measures during several stages of the life cycle of gullies.
| Original language | English |
|---|---|
| Pages (from-to) | 3067-3104 |
| Number of pages | 38 |
| Journal | Natural Hazards |
| Volume | 120 |
| DOIs | |
| Publication status | Published - 7 Dec 2023 |
Bibliographical note
Funding Information:The authors would like to thank VLIR-UOS, in the framework of the Inter-University Cooperation with Arba Minch University, for funding this research project. Arba Minch University is acknowledged for facilitating and for the logistic arrangement of fieldwork. The authors also thank all persons who helped during fieldwork. A specific thank goes to Frank Canters, Margaret Chen, Benoît Smets, Ann Verdoodt and Matthias Vanmaercke for their comments on an earlier version of this work.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature B.V.
Keywords
- And stabilization
- Expansion
- Gully initiation
- Knickpoint
- Landslide
- Logistic regression analysis
- Slope-area thresholds
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