Quantitative risk analysis for landslides ‒ Examples from Bíldudalur, NW-Iceland

Landslides in Iceland Studied Using Sar Interferometry

Landslides and debris flows have caused both fatalities and considerable economic loss in Iceland during the past centuries. In a recently started project we plan to study known landslides in eastern and central-north Iceland using satellite radar interferometry (InSAR) and survey many other slopes in search for other active landslides that may exist. Our initial results show that a landslide i...

Risk Simulation: The Basics of Quantitative Risk Analysis and Simulation Short Examples Series using Risk Simulator

System Dynamics Aproach For Quantitative Risk Allocaion

Allocation of construction risks between clients and their contractors has a significant impact on the total construction costs. This paper presents a system dynamics (SD)-based approach for quantitative risk allocation. Using the proposed SD based approach, all the factors affecting the risk allocation process are modeled. The contractor’s defensive strategies against the one-sided risk alloca...

A Statistical-Probabilistic Pattern for Determination of Tunnel Advance Step by Quantitative Risk Analysis

One of the main challenges faced in design and construction phases of tunneling projects is the determination of maximum allowable advance step to maximize excavation rate and reduce project delivery time. Considering the complexity of determining this factor and unexpected risks associated with inappropriate determination of that, it is necessary to employ a method which is capable of accounti...

3 . 5 Hydrological risk : landslides

The term landslide encompasses a wide variety of phenomena, from the simple fall of rock blocks from vertical rock faces, through to topples and landslides that are dominated either by a sliding motion or by flows of soil and/or rock. Landslides are strongly correlated with other types of natural hazards, such as floods, droughts, wildfires, earthquakes, tsunamis and volcanoes, and are often in...