The Kanyosha watershed is unstable due to the presence of several landslides, which occupy about 3% of the study area. They are causing major damage which costs expensive to the Government of Burundi as well as to the population residing there and their properties. Roads, schools, irrigation canals, houses, crop fields, etc., are in danger of collapse. These landslides are mostly naturally occurring but can sometimes be reactivated by heavy rains or human activities during the excavation of building materials from the river bed.In order to carry out this study, we used the multivariate statistical classification with weighting of the responsible parameters of landslides risk to reach the susceptibility map of mass movements in the Kanyosha watershed. Remote sensing, geology, morphometry and bibliography were the data sources for the different parameters. Google Earth images, ortho-photos and field prospecting helped us to identify the landslides needed to validate the susceptibility map.During the fieldwork, we observed 34 landslides of different types, which were superimposed on the mass movements susceptibility map obtained using the Analytic Hierarchy Process (AHP) and compared to previous studies in which the matrix indexing method was used. We found approximately similar results with the consideration of different scales of work. These reasons confirm the validity of the susceptibility map at the level of the Kanyosha watershed, a map which is an essential document for urban planning and land management.

Abstract. The Kanyosha watershed is unstable due to the presence of several landslides, which occupy about 3% of the study area. They are causing major damage which costs expensive to the Government of Burundi as well as to the population residing there and their properties. Roads, schools, irrigation canals, houses, crop fields, etc., are in danger of collapse. These landslides are mostly naturally occurring but can sometimes be reactivated by heavy rains or human activities during the excavation of building materials from the river bed.In order to carry out this study, we used the multivariate statistical classification with weighting of the responsible parameters of landslides risk to reach the susceptibility map of mass movements in the Kanyosha watershed. Remote sensing, geology, morphometry and bibliography were the data sources for the different parameters. Google Earth images, ortho-photos and field prospecting helped us to identify the landslides needed to validate the susceptibility map.During the fieldwork, we observed 34 landslides of different types, which were superimposed on the mass movements susceptibility map obtained using the Analytic Hierarchy Process (AHP) and compared to previous studies in which the matrix indexing method was used. We found approximately similar results with the consideration of different scales of work. These reasons confirm the validity of the susceptibility map at the level of the Kanyosha watershed, a map which is an essential document for urban planning and land management.

Abstract. The morphostructural examination of QUEMADO slope, contributes to distinguish the vulnerability indications that refer to the ground movements. They are supported by the combination of geological, geo morphological, hydro geological parameters. In addition, the seismic activity that is known in this area increases the vulnerability of the coastal areas. Thus, many cracks and locatable indices in the studied area constitute a witnesses of movement risk that threat directly the projects, the installations and the urban constructions of Al Hoceima city, in proximity of the studied cliff. The present study is consecrated to achieve a comparative study of the evaluated risk "ground movement" by two methodological approaches. The qualitative approach which is most usually employed, and the quantitative approach that requires a scientific effort of adaptation and reproducibility. The risk evaluation is based on using four data components; mainly the topographical slope, the lithology, the geomorphology and the ground occupation. The results were interpreted by a discrete analysis of the unstable areas through the land reconnaissance

The morphostructural examination of QUEMADO slope, contributes to distinguish the vulnerability indications that refer to the ground movements. They are supported by the combination of geological, geo morphological, hydro geological parameters. In addition, the seismic activity that is known in this area increases the vulnerability of the coastal areas. Thus, many cracks and locatable indices in the studied area constitute a witnesses of movement risk that threat directly the projects, the installations and the urban constructions of Al Hoceima city, in proximity of the studied cliff. The present study is consecrated to achieve a comparative study of the evaluated risk “ground movement” by two methodological approaches. The qualitative approach which is most usually employed, and the quantitative approach that requires a scientific effort of adaptation and reproducibility. The risk evaluation is based on using four data components; mainly the topographical slope, the lithology, the geomorphology and the ground occupation. The results were interpreted by a discrete analysis of the unstable areas through the land reconnaissance

The present study is consecrated to the probabilistic mapping of the landslide risk at the local scale of an area that belongs to Al Hoceima city in the western Rif of Morocco. The study focuses mainly on the spatial analysis of multi sources data by using an environment GIS (Geographic Information Systems), and the application of the bivariate probabilistic model to qualify the risk susceptibility. The employed methodology is based on three stages. First, the evaluation of landslide susceptibility (S) by the analysis model cited before. Second, the identification and the estimation of the potential consequences (C) for the existing issues. Finally, the landslide risk (R) is evaluated by combining the susceptibility and the potential consequences map. This study requires the use of spatial analysis techniques. It also refers to the risk maps scale, generally reduced and being inappropriate at the urban project area. The obtained risk map defines four risk intensities with a spatial resolution of two meters.