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This doctoral thesis presents a novel approach to landslide risk
assessment that explores the various dimensions of landslide risk
in an integrated perspective. The research approach introduced here
is tailored for use with landslide databases and Geographic
Information Systems (GIS). A landslide susceptibility model is at
the heart of this new approach, enabling to identify and delineate
areas at risk of landslides and to assess infrastructure exposure.
Landslide risk is a pressing societal issue that is still poorly
understood. Temporal landslide hazard is derived from landslide
frequency statistics and a hydrological simulation approach to
estimate triggering thresholds. These methods are integrated into a
powerful toolset for cost modeling that uses historical data to
compile, model, and extrapolate damage costs on different spatial
scales over time. The combination of this toolset with techniques
to analyze fiscal cost impacts supports integrated risk assessment
by quantifying the economic relevance of landslide losses.
This doctoral thesis presents a novel approach to landslide risk
assessment that explores the various dimensions of landslide risk
in an integrated perspective. The research approach introduced here
is tailored for use with landslide databases and Geographic
Information Systems (GIS). A landslide susceptibility model is at
the heart of this new approach, enabling to identify and delineate
areas at risk of landslides and to assess infrastructure exposure.
Landslide risk is a pressing societal issue that is still poorly
understood. Temporal landslide hazard is derived from landslide
frequency statistics and a hydrological simulation approach to
estimate triggering thresholds. These methods are integrated into a
powerful toolset for cost modeling that uses historical data to
compile, model, and extrapolate damage costs on different spatial
scales over time. The combination of this toolset with techniques
to analyze fiscal cost impacts supports integrated risk assessment
by quantifying the economic relevance of landslide losses.
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