Use of Probabilistically Generated Scenario Earthquakes in Landslide Hazard Zonation: A Semi-qualitative Approach

2022 ◽  
pp. 247-274
Author(s):  
Ritu Raj Nath ◽  
Shilpa Pal ◽  
Mukat Lal Sharma
Keyword(s):  
Landslide Hazard ◽  
Qualitative Approach ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Scenario Earthquakes

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>

Landslide Hazard Zonation in Greece

Landslides ◽  
2005 ◽  
pp. 291-296 ◽  
Author(s):  
G. Koukis ◽  
N. Sabatakakis ◽  
N. Nikolau ◽  
C. Loupasakis
Keyword(s):  
Landslide Hazard ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation

scholarly journals GIS based mapping and analysis of landslide hazard’s impact on tourism: a case study of Balakot valley, Pakistan

2017 ◽  
Vol 5 (2) ◽  
pp. 116
Author(s):  
Alamgeer Hussain ◽  
Mobushir Riaz Khan ◽  
Naeem Abbas Malik ◽  
Muhammad Amin ◽  
Mazhar Hussain Shah ◽  
...  
Keyword(s):  
Slope Failure ◽  
Interpolation Method ◽  
Landslide Hazard ◽  
Slope Aspect ◽  
Mountainous Area ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Hazard Class ◽  
Zonation Map ◽  
Tourism Sector

The Landslide occurs in mountainous area due to failure of slope through intensive rain and earthquake. Region wise Himalayan is one of prone area of world in context of slope failure hazard; i.e. Landslide, especially Balakot valley is well known for damage of public infrastructure, roads and badly affected the tourism sector. The objective of this study is to develop landslide hazard map and database inventory of balakot tehsil and identify the Tourist resorts landslide hazard condition and hazard prone road site and developed guidelines for tourist about hazardous site and their intensity of landside, which could be useful for tourism sector and sustainable development in balakot valley. In this study we used weighted overlay analysis in arc GIS environment on primary and secondary data raster layers, like slope map, Slope Aspect map, precipitation and seismic raster maps were used to develop landslide hazard zonation map of balakot tehsil. Slope and Aspect map were developed using 30 meter aster digital elevation model. Precipitation map were developed through Inverse Distance weighted (IDW) interpolation method on annual precipitation data acquired from Pakistan meteorological department. Seismic map were acquired from Geological Survey of Pakistan (GSP). Landslide zonation map has three hazards class high, Medium and low. The landslide exposure of high hazard class 499 sq.km while, Medium class 1016 sq.km and low hazard class having 749 sq. km exposure in balakot tehsil respectively. Landslide hazard zonation mapping using GIS and RS is the best way to assess the risk of landslide hazard in mountainous areas. The study recommended that ground penetrating radar (GPR) and soil testing based research well help to understand in-depth of landslide hazard condition in balakot valley.

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