Geo-Information tools for landslide risk assessment: an overview of recent developments

2004 ◽  
pp. 39-56 ◽  
Author(s):  
C Van Westen
Keyword(s):  
Risk Assessment ◽  
Landslide Risk ◽  
Information Tools ◽  
Landslide Risk Assessment ◽  
Recent Developments

Forestry and landslides: What's acceptable in BC?

2009 ◽  
Vol 85 (1) ◽  
pp. 25-31 ◽  
Author(s):  
R H Guthrie
Keyword(s):  
Risk Assessment ◽  
Risk Perception ◽  
Key Words ◽  
Public Key ◽  
Expert Advice ◽  
Forest Industry ◽  
Landslide Risk ◽  
Acceptable Risk ◽  
The Public ◽  
Landslide Risk Assessment

Landslides are unavoidably linked to forestry operations in coastal BC. A neglected component of landslide risk assessment is the degree to which impacts from landslides may be acceptable. One hundred and thirteen professionals in the BC forest industry, including foresters, biologists, geoscientists and engineers, examined landslide tolerability criteria. Despite differences by sector, there was general agreement that landslides resultant of ignoring expert advice or where an expert was clearly at fault were unacceptable, and penalties were high. In more ambiguous cases, increased consequences resulted in increased scrutiny and it was clear that experts should expect to be held responsible for their decisions by government officiators and the public. Key words: landslide, risk, risk perception, acceptable risk, landslides and forestry

Passive Seismic Survey for Cultural Heritage Landslide Risk Assessment

2013 ◽  
pp. 483-489 ◽  
Author(s):  
Daniele Spizzichino ◽  
Claudio Margottini ◽  
Silvia Castellaro ◽  
Francesco Mulargia
Keyword(s):  
Risk Assessment ◽  
Cultural Heritage ◽  
Seismic Survey ◽  
Landslide Risk ◽  
Landslide Risk Assessment ◽  
Passive Seismic

scholarly journals Probabilistic landslide risk assessment: Case study of Bujumbura

2018 ◽  
Vol 251 ◽  
pp. 06011
Author(s):  
Gervais Shirambere ◽  
Maurice O. Nyadawa ◽  
Jean pierre Masekanya ◽  
Timothy Nyomboi
Keyword(s):  
Risk Assessment ◽  
Monte Carlo Simulation ◽  
Landslide Risk ◽  
Cell Level ◽  
Monte Carlo Simulation Technique ◽  
Mapping Model ◽  
Coulomb Failure ◽  
Landslide Risk Assessment ◽  
Coulomb Failure Criterion

A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare region. The probabilistic model is based on a physical model based on Mohr coulomb failure criterion. A Monte Carlo simulation technique is applied to field collected data. The results are integrated and a probability of landslide is obtained at each cell level. The results are compared to a prepared landslide inventory. The overall accuracy of the model is 79.69%.

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