Article (Scientific journals)
Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region
Dewitte, O.; Dille, A.; Depicker, A. et al.
2021In Landslides
Peer Reviewed verified by ORBi
 

Files


Full Text
Dewitte2020_Article_ConstrainingLandslideTimingInA.pdf
Publisher postprint (14.3 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Africa; Causes and triggers; Environmental change; Hazard assessment; Landslide inventory; Remote sensing; Landslides; Population statistics; Timing circuits; Tropics; High population density; Landscape changes; Methodological approach; Natural vegetation; Research strategy; Satellite remote sensing; Timing information; Tropical environments; Weathering
Abstract :
[en] Understanding when landslides occur and how they evolve is fundamental to grasp the dynamics of the landscapes and anticipate the dangers they can offer up. However, knowledge on the timing of the landslides remains overlooked in large parts of the world. This is particularly the case in low-capacity regions, where infrastructures are weak or absent and data scarcity is the norm. The tropics stand out as such regions, despite being affected by high and increasing landslide impacts. There, persistent cloud cover, rapid natural vegetation regeneration, cultivation practices and high weathering rates further challenge the harvest of timing information. Based on a synthesis of our recent work, we present new findings on the characterisation of the timing of the landslides in the North Tanganyika-Kivu Rift region, a tropical environment with very low capacity and high population density. Our aim is also to highlight the methodological approaches and research strategies that we adopt to investigate such slope processes in a large region lacking baseline studies. From an inventory of more than 9000 landslides with various timing accuracy (from daily to thousands of years), we identify causes and triggers of the slope instabilities in a context of important human-induced landscape changes. This is achieved through a holistic approach that combines field work, satellite remote sensing, historical photograph processing and geomorphic marker understanding. The role of the needs of the local stakeholders in the setting up of the research strategy is also highlighted, and research perspectives are discussed. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Dewitte, O.;  Department of Earth Sciences, Royal Museum for Central Africa, Tervuren, Belgium
Dille, A.;  Department of Earth Sciences, Royal Museum for Central Africa, Tervuren, Belgium, Department of Geography, Earth System Science, Vrije Universiteit Brussel, Brussels, Belgium
Depicker, A.;  Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Kubwimana, D.;  Department of Earth Sciences, University of Burundi, Bujumbura, Burundi, Department of Earth Sciences, Mohammed V University in Rabat, Rabat, Morocco
Maki Mateso, J.-C.;  Department of Geophysics, Centre de Recherche en Sciences Naturelles, Lwiro, Democratic Republic Congo, Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Mugaruka Bibentyo, T.;  Department of Earth Sciences, Royal Museum for Central Africa, Tervuren, Belgium, Department of Geology, Université Officielle de Bukavu, Bukavu, Democratic Republic Congo, Department of Geology, Ghent University, Ghent, Belgium
Uwihirwe, J.;  Department of Irrigation and Drainage, University of Rwanda, Musanze, Rwanda, Department of Water Management, Delft University of Technology, Delft, Netherlands
Monsieurs, Elise ;  Université de Liège - ULiège > SPHERES
Language :
English
Title :
Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region
Publication date :
2021
Journal title :
Landslides
ISSN :
1612-510X
eISSN :
1612-5118
Publisher :
Springer
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 26 December 2020

Statistics


Number of views
34 (2 by ULiège)
Number of downloads
2 (2 by ULiège)

Scopus citations®
 
23
Scopus citations®
without self-citations
8
OpenCitations
 
14

Bibliography


Similar publications



Contact ORBi