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Landslide databases as tools for integrated assessment of landslide risk

Author: Martin Klose
Publisher: Cham : Springer, 2015.
Series: Springer theses.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin Klose
ISBN: 9783319204031 3319204033 3319204025 9783319204024
OCLC Number: 911911995
Notes: "Doctoral thesis accepted by the University of Vechta, Germany."
Description: 1 online resource : illustrations (chiefly color), maps.
Contents: Introduction --
Landslide Databases --
State of Research and the Case of Germany --
Study Area --
Methodology --
Results --
Synthesis --
Towards Integrated Assessment of Landslide Risk.
Series Title: Springer theses.
Responsibility: Martin Klose.

Abstract:

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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