GIS-based spatial analysis and modeling for landslide hazard assessment: A case study in upper Minjiang River basin

2006 ◽  
Vol 11 (4) ◽  
pp. 847-852
Author(s):  
Feng Wenlan ◽  
Zhou Qigang ◽  
Zhang Baolei ◽  
Zhou Wancun ◽  
Li Ainong ◽  
...  
2007 ◽  
Vol 7 (1) ◽  
pp. 185-193 ◽  
Author(s):  
F. Tagliavini ◽  
M. Mantovani ◽  
G. Marcato ◽  
A. Pasuto ◽  
S. Silvano

Abstract. In the last years a research project aimed at the assessment of the landslide hazard and susceptibility in the high Cordevole river basin (Eastern Dolomites, Italy) have been carried out. The hazard map was made adopting the Swiss Confederation semi-deterministic approach that takes into account parameters such as velocity, geometry and frequency of landslides. Usually these parameters are collected by means of geological and morphological surveys, historical archive researches, aerophotogrammetric analysis etc. In this framework however the dynamics of an instable slope can be difficult to determine. This work aims at illustrating some progress in landslide hazard assessment using a modified version of the Swiss Confederation semi-deterministic approach in which the values of some parameters have been refined in order to accomplish more reliable results in hazard assessment. A validation of the accuracy of these new values, using GPS and inclinometric measurements, has been carried out on a test site located inside the high Cordevole river basin.


2017 ◽  
Vol 53 ◽  
pp. 93-98
Author(s):  
Subash Acharya ◽  
Dinesh Pathak

In the hilly and mountainous terrain of Nepal, landslide is the most common natural hazard especially during prolong rainfall. Every year landslide cost lives and causes injuries. In order to address this problem, the best that can be done is to prepare the landslide hazard map of the area, apply mitigation measures and evacuate the high hazardous area, if necessary. Landslide hazard assessment is the primary tool so as to understand the nature and characteristics of the slope that are prone to failure. Logistic Regression Model is used for the preparation of landslide hazard map of the Besi Shahar-Tal area in Marsyangdi River basin in west Nepal. The causative factors such as elevation, slope, slope aspect, land use, geology, rainfall, lineament density, stream density are used. All the thematic layers of these parameters are prepared in GIS and logistic regression analysis is done by using Statistical Package for Social Science (SPSS). Five different hazard zones are separated namely very low hazard zone, low hazard zone, medium hazard zone, high hazard zone and very high hazard zone. The high hazard zone is lying along the Marsyangdi River and its tributaries.


2013 ◽  
Vol 302 ◽  
pp. 224-237 ◽  
Author(s):  
Riheb Hadji ◽  
Abd errahmane Boumazbeur ◽  
Yacine Limani ◽  
Mustapha Baghem ◽  
Abd el Madjid Chouabi ◽  
...  

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