scholarly journals Landslide Susceptibility Assessment of Mauritius Island (Indian Ocean)

Geosciences ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 493 ◽  
Author(s):  
Vincenzo Marsala ◽  
Alberto Galli ◽  
Giorgio Paglia ◽  
Enrico Miccadei

This work is focused on the landslide susceptibility assessment, applied to Mauritius Island. The study area is a volcanic island located in the western part of the Indian Ocean and it is characterized by a plateau-like morphology interrupted by three rugged mountain areas. The island is severely affected by geo-hydrological hazards, generally triggered by tropical storms and cyclones. The landslide susceptibility analysis was performed through an integrated approach based on morphometric analysis and preliminary Geographical Information System (GIS)-based techniques, supported by photogeological analysis and geomorphological field mapping. The analysis was completed following a mixed heuristic and statistical approach, integrated using GIS technology. This approach led to the identification of eight landslide controlling factors. Hence, each factor was evaluated by assigning appropriate expert-based weights and analyzed for the construction of thematic maps. Finally, all the collected data were mapped through a cartographic overlay process in order to realize a new zonation of landslide susceptibility. The resulting map was grouped into four landslide susceptibility classes: low, medium, high, and very high. This work provides a scientific basis that could be effectively applied in other tropical areas showing similar climatic and geomorphological features, in order to develop sustainable territorial planning, emergency management, and loss-reduction measures.

2013 ◽  
Vol 864-867 ◽  
pp. 2756-2759
Author(s):  
Zhi Wang Wang ◽  
Jian Hua Zhang ◽  
Duan You Li

This paper deals with landslide hazards susceptibility assessment in the study area from Zigui to Badong counties in TGP reservoir region using RS and GIS technology. The causative factors including lithology, distance to faults, elevation, slope aspect, slope angle, drainage network, distance to river and distribution of plant are derived from geological map, Digital Elevation Model (DEM) and Spot imagery data using RS and GIS technology. The paper analyzes landslide susceptibility assessment using fuzzy weights of evidence method, which could combine knowledge-based fuzzy membership values with data-based conditional probabilities to improve the accuracy of landslide susceptibility assessment. The research result is very coincident with the occurrence of the known landslides in the study area.


2021 ◽  
Author(s):  
Cahio Guimarães Seabra Eiras ◽  
Juliana Ribeiro Gonçalves de Souza ◽  
Renata Delicio Andrade de Freitas ◽  
César Falcão Barella ◽  
Tiago Martins Pereira

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