scholarly journals Landslide Hazard Zonation Along Milot-Kukës Motorway, Albania

2018 ◽  
Author(s):  
Ylber Muceku ◽  
Olgert Jaupaj
Keyword(s):  
Landslide Hazard ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Rock Falls ◽  
Before And After ◽  
Slide Debris ◽  
Geological Map ◽  
High Resolution Satellite Imagery ◽  
Gis Environment ◽  
Hazard Level

In this paper it is briefly described the landslide hazard zonation before and after the construction of the Milot-Kukës motorway, Albania. The studied area is a mountains zone with extremely complicated morphological and geological framework, characterized by steep slopes, intensively fractured and highly to completely weathered rocks. Due to intensive excavations done during its construction, many of the slopes are destabilized and nowadays, have become unstable. During and after the rainfalls, on both sides of the motorway, several landslides such as earth slide debris flow, rock falls and rocks slides have occurred and have increased the risk due to natural hazards. For this reason, the motorway’s area is analyzed in terms of landslide hazard zonation by using the high-resolution satellite imagery and factors data in a GIS environment. During 2015-2017, a 1:10000 scale engineering geological map is compiled and was used to identify the landslides location, lithological characteristic, slope features, geotechnical conditions and land use situations. As a result, the studied area was divided into five categories from very low to very high-risk zones. Moreover, based on the analysis results of the landslide hazard zonation before the motorway’s construction, it was concluded that the excavation works had a considerable influence in increase of hazard level, particularly on the instability of the slopes.

scholarly journals LANDSLIDE HAZARD ZONATION MAPPING OF CHAMOLI LANDSLIDES IN REMOTE SENSING AND GIS ENVIRONMENT

2018 ◽  
Vol XLII-5 ◽  
pp. 475-480
Author(s):  
M. K. Tripathi ◽  
H. Govil ◽  
P. K. Champati ray ◽  
I. C. Das
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Landslide Hazard ◽  
Information Value ◽  
Slope Aspect ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Thematic Layers ◽  
Zonation Map ◽  
Gis Environment

<p><strong>Abstract.</strong> Landslides are very common problem in hilly terrain. Chamoli region of Himalaya is highest sensitive zone of the landslide hazards. The purpose of Chamoli landslide study, to observe the important terrain factors and parameters responsible for landslide initiation. Lithological, geomorphological, slope, aspect, landslide, drainage density and lineament density map generated in remote sensing and GIS environment. Data information of related geological terrain obtain through topographic maps, remote sensing images, field visits and geological maps. Geodatabases of all thematic layers prepared through digitization of topographic map and satellite imageries (LISS-III, LISS-IV &amp;amp; ASTER DEM). Integrated all thematic layers applying information value method under GIS environment to map the zonation of landslide hazard zonation map validation and verification completed by field visit. The landslide hazard zonation map classified in four classes very high, high, medium and low.</p>

scholarly journals Landslide hazard zonation of slopes susceptible to rock falls and topples

2002 ◽  
Vol 2 (1/2) ◽  
pp. 37-49 ◽  
Author(s):  
M. Parise
Keyword(s):  
Land Surface ◽  
Large Scale ◽  
Anthropogenic Activities ◽  
Source Area ◽  
Landslide Hazard ◽  
Potential Hazard ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Rock Falls ◽  
Slope Movements

Abstract. A landslide hazard zonation is a division of the land surface into areas, and the relative ranking of these areas according to degrees of actual or potential hazard from landslides on slopes. Zonation from scientific research does not generally imply legal restrictions, but can be useful to those people who are charged with the land management, by providing them with information that is indispensable for planning and regulation purposes. This paper presents a zonation of rock slopes in carbonate mountains on the boundary to the east of the valley of the Sele River (Campania, southern Apennines of Italy). The mountains are severely affected by rock falls and topples, and the related hazard is, therefore, very high; the presence of inhabited areas (the towns of Valva, Colliano and Collianello) and other human infrastructures at the slope foothills make these phenomena extremely dangerous to the anthropogenic environment. The area is highly seismic, as experienced on the occasion of several moderate to strong earthquakes that have hit this sector of the Apennines. According to the zonation proposed here, the ridge of Mount Valva and Mount Marzano is subdivided into four main areas on the basis of the processes which take place in the different sectors of the mountains: the source area, the talus slope, the rockfall shadow (where scattered outlying boulders are present), and the safe area (outside of the reach of fallen blocks). The four sectors were identified through air-photo interpretation and detailed field surveys, aimed in particular at characterizing and interpreting the main rock mass joint patterns, and their relative orientation with respect to the local slope direction. Geological, morphological and structural analyses permitted one to evaluate and classify those parts of the slope that are more susceptible to detachment of rocks, and to identify the more diffuse types of failure. Due to high seismicity of the study area, particular attention was given to the evaluation of the seismic susceptibility to rock falls, by applying two methods recently proposed in literature. Results from this phase of the study were then integrated by additional information from historical research on slope movements occurred previously in the area. The landslide hazard zonation, shown on large-scale cartography, could be compared to maps depicting the distribution and typology of the anthropogenic activities, and thus constitutes a useful tool for administrators and planners, in order to evaluate the hazards related to slope movements, and the vulnerability of settlements, roads, and other man-made infrastructures.

scholarly journals LANDSLIDE HAZARD ZONATION IN AND AROUND KEDARNATH REGION AND ITS VALIDATION BASED ON REAL TIME KEDARNATH DISASTER USING GEOSPATIAL TECHNIQUES

2018 ◽  
Vol XLII-5 ◽  
pp. 481-485
Author(s):  
D. Uniyal ◽  
S. Purohit ◽  
S. Dangwal ◽  
A. Aswal ◽  
M. P. S. Bisht ◽  
...  
Keyword(s):  
Satellite Observation ◽  
Landslide Hazard ◽  
Analysis Tool ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Thematic Layer ◽  
High Hazard ◽  
Gis Environment ◽  
Moderate Hazard ◽  
Very High

<p><strong>Abstract.</strong> Landslides are one of the frequently happening disasters in this hilly state of Uttarakhand which accounts to the loss of lives and property every year especially during the rainy season which lead to affect the families. With the development of satellite observation technique, advanced data analysis tool and new modeling techniques landslide hazard zonation map can be prepared.</p><p>In the present study, Landslide Hazard Zonation (LHZ) for Kedarnath to Augustmuni region of Rudraprayag district of Uttarakhand state was carried out using Remote Sensing and GIS technique. For the preparation of LHZ map, year 2010 high resolution satellite data have been used. After preprocessing of the data various thematic layers are prepared in GIS environment. The weighted-rating system technique were used for the LHZ map showing the five zones, namely “very low hazard”, “low hazard”, “moderate hazard”, “high hazard” and “very high hazard” . This map has been validated after the tragedy of Kedarnath in Uttarakhand, Total no. of 224 Landslides has been marked from Kedarnath to Augustmuni region just after the kedarnath tragedy in year 2013. When this landslides thematic layer is overlaid on LHZ, the study shows that approximately 50% landslides was there where in LHZ map high and very high hazard zones have been identified. After the tragedy our team workers have gone to the field, with the help of DGPS around 40 ground control points have been taken to validate our result. So by using this geospatial technique around 50% people’s life can be saved.</p>

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