The Rwenzori Mountains, a landslide-prone region?

被引:0
|
作者
Liesbet Jacobs
Olivier Dewitte
Jean Poesen
Damien Delvaux
Wim Thiery
Matthieu Kervyn
机构
[1] Vrije Universiteit Brussel,Department of Geography, Earth System Science
[2] Royal Museum for Central Africa,Department of Earth Sciences
[3] KU Leuven,Department of Earth and Environmental Sciences
来源
Landslides | 2016年 / 13卷
关键词
Mass movement; Inventory; Equatorial mountains; Archive analysis; Triggering factors;
D O I
暂无
中图分类号
学科分类号
摘要
With its exceptionally steep topography, wet climate, and active faulting, landslides can be expected to occur in the Rwenzori Mountains. Whether or not this region is prone to landsliding and more generally whether global landslide inventories and hazard assessments are accurate in data-poor regions such as the East African highlands are thus far unclear. In order to address these questions, a first landslide inventory based on archive information is built for the Rwenzori Mountains. In total, 48 landslide and flash flood events, or combinations of these, are found. They caused 56 fatalities and considerable damage to road infrastructure, buildings, and cropland, and rendered over 14,000 persons homeless. These numbers indicate that the Rwenzori Mountains are landslide-prone and that the impact of these events is significant. Although not based on field investigations but on archive data from media reports and laymen accounts, our approach provides a useful complement to global inventories overlooking this region and increases our understanding of the phenomenon in the Rwenzori Mountains. Considering the severe impacts of landslides, the population growth and related anthropogenic interventions, and the likelihood of more intense rainfall conditions, there is an urgent need to invest in research on disaster risk reduction strategies in this region and other similar highland areas of Africa.
引用
收藏
页码:519 / 536
页数:17
相关论文
共 27 条
  • [21] Relationships between Morphostructural/Geological Framework and Landslide Types: Historical Landslides in the Hilly Piedmont Area of Abruzzo Region (Central Italy)
    Esposito, Gianluca
    Carabella, Cristiano
    Paglia, Giorgio
    Miccadei, Enrico
    LAND, 2021, 10 (03)
  • [22] Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria
    Hadji, Riheb
    Boumazbeur, Abd Errahmane
    Limani, Yacine
    Baghem, Mustapha
    Chouabi, Abd el Madjid
    Demdoum, Abdeslem
    QUATERNARY INTERNATIONAL, 2013, 302 : 224 - 237
  • [23] Identification of Landslide Scars in the Region of the Serra do Mar, Sao Paulo State, Brazil, Using Digital Image Processing and Spatial Analysis Tools
    Riedel, Paulina Setti
    Gomes, Alessandra Rodrigues
    Ferreira, Mateus Vidotti
    Sampaio Lopes, Eymar Silva
    Sturaro, Jose Ricardo
    GISCIENCE & REMOTE SENSING, 2010, 47 (04) : 498 - 513
  • [24] GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya
    Das, Suvam
    Sarkar, Shantanu
    Kanungo, Debi Prasanna
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2022, 194 (03)
  • [25] Estimating the period of probable landslide event using advanced D-InSAR technique for time-series deformation study of Kotrupi region
    Niraj, K. C.
    Chatterjee, Rajat S.
    Shukla, Dericks P.
    GEOMATICS NATURAL HAZARDS & RISK, 2023, 14 (01)
  • [26] Seismically-induced landslide probabilistic hazard mapping of Aba Prefecture and Chengdu Plain region, Sichuan Province, China for future seismic scenarios
    Shao, Xiaoyi
    Ma, Siyuan
    Xu, Chong
    Cheng, Jia
    Xu, Xiwei
    GEOSCIENCE LETTERS, 2023, 10 (01)
  • [27] The Open Landslide Project (OLP), a New Inventory of Shallow Landslides for Susceptibility Models: The Autumn 2019 Extreme Rainfall Event in the Langhe-Monferrato Region (Northwestern Italy)
    Licata, Michele
    Tebar, Victor Buleo
    Seitone, Francesco
    Fubelli, Giandomenico
    GEOSCIENCES, 2023, 13 (10)